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A Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease
Harald Hampel, Filippo Caraci, A. Claudio Cuello and 18 more
Frontiers in Immunology · 2020 · Review · CC BY
Abstract
Neuroinflammation commences decades before Alzheimer’s disease (AD) clinical onset and represents one of the earliest pathomechanistic alterations throughout AD its continuum. Large-scale genome-wide association studies point out several genetic variants - TREM2, CD33, PILRA, CR1, MS4A, CLU, ABCA7, EPHA1, and HLA-DRB5-HLA-DRB1 - potentially linked to neuroinflammation. Most of these genes are involved in proinflammatory intracellular signaling, cytokines/interleukins cell turn-over, synaptic activity, lipid metabolism, and vesicle trafficking. Proteomic studies indicate that a plethora of interconnected aberrant molecular pathways, set off and perpetuated by TNF-α, TGF-β, IL-1β, and the receptor protein TREM2, are involved in neuroinflammation. Microglia and astrocytes are key cellular drivers and regulators of neuroinflammation. Under physiological conditions, they are important for neurotransmission and synaptic homeostasis. In AD, there is a turning point throughout its pathophysiological evolution where glial cells sustain an overexpressed inflammatory response that synergizes with amyloid-β and tau accumulation, and drives synaptotoxicity and neurodegeneration in a self-reinforcing manner. Despite a strong therapeutic rationale, previous clinical trials investigating compounds with anti-inflammatory properties, including non-steroidal anti-inflammatory drugs (NSAIDs) did not achieve primary efficacy endpoints. It is conceivable that study design issues, including the lack of diagnostic accuracy and biomarkers for target population identification and proof-of-mechanism may partially explain the negative outcomes. However, a recent meta-analysis indicates a potential biological effect of NSAIDs. In this regard, candidate fluid biomarkers of neuroinflammation are under analytical/clinical validation, i.e. TREM2, IL-1β, MCP-1, IL-6, TNF-α receptor complexes, TGF-β, YKL-40. PET radio-ligands are investigated to accomplish in-vivo and longitudinal regional exploration of neuroinflammation. Biomarkers tracking different molecular pathways (body fluid matrixes) along with brain neuroinflammatory endophenotypes (neuroimaging markers), can untangle temporal-spatial dynamics between neuroinflammation and other AD pathophysiological mechanisms. Robust biomarker-drug co-development pipelines are expected to enrich large-scale clinical trials testing new-generation compounds active, directly or indirectly, on neuroinflammatory targets and displaying putative disease-modifying effects: novel NSAIDs, AL002 (anti-TREM2 antibody), anti-Aβ protofibrils (BAN2401), and AL003 (anti-CD33 antibody). As a next step, taking advantage of breakthrough and multimodal techniques coupled with a systems biology approach is the path to pursue for developing individualized therapeutic strategies targeting neuroinflammation under the framework of precision medicine.
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From PubMed Central, U.S. National Library of Medicine, as current on Oct 18, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Alzheimer's disease (AD) is the most commoncause of neurodegenerative dementia. According to current estimates, 17% of people aged 75–84 years in the United States have AD, and the disease costs the country US$236 billion per year. The prevalence is projected to triple by 2050 to >15 million, with annual costs of >$700 billion. There is an urgent need for developing pharmacological treatments with a disease-modifying effect to halt the disease at its earliest preclinical stage where brain and cognitive functions can still be preserved. Indeed, drugs currently available on the pharmaceutical market (i.e., acetylcholinesterase inhibitors and non-competitive N-methyl-d-aspartate antagonists) have been approved for a symptomatic effect only and for the dementia stage of AD.
The acknowledged pathophysiological hallmarks—(I) extracellular deposition of amyloid beta (Aβ), (II) intracellular aggregates of tau proteins, ultimately called neurofibrillary tangles (NFT), and (III) neurodegeneration—have been integrated in research diagnostic criteria.
The hypothesis-free biomarker-guided “A/T/N” classification scheme was introduced to categorize subjects based on core AD hallmarks. The A/T/N scheme is anticipated to provide consistent recruitment of individuals and target engagement among various different sites in AD clinical trials. Even though the A/T/N classification scheme provides crucial pathophysiological insights, it offers a partial depiction of the spectrum of pathomechanistic modifications of AD.
The increasing animal and in-human evidence for the upstream role that neuroinflammation may play in AD has posed several conceptual therapeutic concerns and open up new avenues for preventing AD cognitive decline.
The pathophysiological mechanisms of multifactorial and polygenic AD are not limited to the neuronal tissue; they are related to cerebral immunological responses. Indeed, brains of patients with AD and other neurodegenerative diseases (ND) show chronic inflammation. Neuroinflammation is as an innate immunological response of the nervous system that comprises microglia, astrocytes, cytokines, and chemokines, which play a central role in an early phase of AD pathogenesis. The key contribution of inflammation in the AD pathophysiology has been hypothesized more than 20 years ago. Recent studies demonstrate that this early disease-aggravating central nervous system (CNS) inflammation starts decades before the appearance of severe cognitive decay or AD. Along this line, different longitudinal studies show that inflammation and microglial activation occur years before AD onset. Furthermore, there is a strong link between neuroinflammation and amyloid and tau accumulation in the human brain.
The acknowledged cell mediators of inflammatory mechanisms in AD are microglia and astrocytes. In general, these cells play a substantial role in neural transmission and synapse remodeling, as they facilitate the removal of non-essential synapses by eradicating inadequate connections. Thus, the efficiency of neuronal transmission is increased.
The Role of Microglia and Astrocytes in Alzheimer's Disease Synaptic Dysfunction
Synapses exhibit a quad-partite arrangement that consists of an axon terminal, a dendritic spine put in direct communication with a microglial and an astrocytic process. Astrocytes and microglia—the brain-resident macrophages—play a key role in neural circuit development and synaptic homeodynamics during adulthood. Astrocytes are essential for supporting synaptogenesis (axonal and dendritic spines sprouting) and regulating synaptic robustness. Astrocytes also contribute to the spatiotemporal integration of several synaptic signals and regulate the synaptic transmission. Microglial cells play a key role in the immune surveillance of the presynaptic microenvironment and also for the synaptic remodeling toward axonal and dendritic terminals pruning by reshaping proteolytic and phagocytic processes. Microglial cells are able to recruit astroglia, or they can be recruited by the latter. They are thought to drive the well-known age-related regional synaptic vulnerability, as recently reported. Indeed, an age-related ultrastructural and functional shift of microglia cells is associated with increased synaptic susceptibility and neurodegeneration.
Therefore, astrocytes and microglia express physiological properties essential for synaptic transmission, the accurate modulation of neural and synaptic plasticity, and both synaptic adaptation and homeostasis.
In summary, it is well-established that microglia and astrocytes take part in aberrant molecular pathways that, ultimately, reflect AD pathomechanistic alterations, i.e., brain proteinopathies, synaptic failure, loss of brain plasticity, neuroinflammation, axonal damage, and neurodegeneration.
The Role of Microglia
Microglial cells, arising from the mesodermal (myeloid) lineage, are the main category of macrophages in the CNS parenchyma. They express a large assortment of receptors that recognize exogenous or endogenous CNS insults and initiate an immune response. Besides their typical immune cell role, microglial cells protect the brain by stimulating phagocytic clearance and providing trophic sustenance to preserve cerebral homeostasis and support tissue repair. When circumstances related to loss of homeostasis or tissue alterations occur, then many dynamic microglial mechanisms are triggered, leading to the “activated state” of microglia. These encompass cellular morphology modifications, changes in the secretory profile of molecular mediators, and increased proliferative responses. A persistent homeodynamic imbalance, such as brain accumulation of Aβ, can trigger a step further in activation, referred to as “priming”. Priming of microglia is directed by alterations in their microenvironment and the release of molecules guiding their proliferation. Priming makes microglia inclined to secondary inflammatory stimulating factors, which can then elicit amplified inflammatory reactions.
Activated microglia is a typical pathophysiological feature of AD and other ND. Two main types of microglia cells are present in the brain, “resting” (or “quiescent”) and “active” microglia. In particular, there is evidence for the high degree of heterogeneity of microglial activation in the CNS, which can be categorized into two opposite activation phenotypes: M1 and M2. According to the phenotype activated, microglia can generate either cytotoxic or neuroprotective effects. The M1 or “proinflammatory” phenotype (classically activated) displays proinflammatory cytokines and nitric oxide. It decreases the release of neurotrophic factors, thus exacerbating inflammation and cytotoxicity. In contrast, the M2 or “anti-inflammatory” phenotype (alternatively activated) displays anti-inflammatory cytokines, increased expression of neurotrophic factors, and several other signals involved in downregulation, protection, or repair processes in response to inflammation. Preliminary evidence from experimental studies suggests that the phenotypic transformation of the activated M1/M2 functional states (“phenotypic switching”) can be determined by both the stage and the severity of the disease. In preclinical models, M1 microglia seems to prevail at the injury site, at the end stage of disease, and once inflammation resolution and repair processes of M2 microglia are diminished.
In light of the increasing evidence that the modality by which microglia is activated is a continuum between proinflammatory (M1) and anti-inflammatory (M2) phenotypes, the M1/M2 “dichotomy” (or “polarization” scheme) is still disputed. Actually, it seems possible that the global process of microglia activation represents a much larger heterogeneous spectrum of very dissimilar responses.
Experimental models of AD demonstrate that microglia cluster around plaques, likely via chemotactic mechanisms, and may contribute both in Aβ clearance and in limiting the growth and further accumulation plaques. Moreover, the dysregulation of microglia activity, including dystrophic microglia, may be either a trigger, or a worsening factor, or both, of the seeding of aberrant protein aggregates in the brain.
In AD, during inflammation, there is a transition from the resting to the active functional state of microglia that, at a general level, might be the consequence of stress or depressive-like behavior. At a molecular level, inflammation is promoted by the presence of Aβ aggregates, including oligomers and fibrils. Indeed, microglia can bind to soluble Aβ oligomers and insoluble Aβ fibrils through cell surface receptors, including the class A1 scavenger receptor (SCARA1), cell surface cluster of differentiation (CD) markers (CD36, CD14, and CD47), the α6β1 integrin, and the Toll-like receptors (TLRs). A key point within the scientific debate is represented by a recent evidence indicating that microglia displays either beneficial or harmful effects throughout the beginning and advancement of AD. This is strictly related to the nature of the major activities: (I) clearance of Aβ or (II) release of proinflammatory mediators. In early AD pathogenesis, Aβ oligomers and fibrils gather in the extracellular space and elicit a pathological cascade resulting in neuronal apoptosis and depletion. Microglia eliminate Aβ peptides and dying/dead cells through phagocytosis. Besides clearance of Aβ oligomers and fibrils, microglia surrounds plaques and fibrils likely creating a physical barrier that can prevent their spreading and toxicity. Aβ clearance is also stimulated by the release of numerous proteases participating in Aβ degradation. In spite of the advantageous actions of early activation of microglia cells, their chronic activation by Aβ is detrimental and induces protracted inflammation and disproportionate Aβ deposition, thus rushing neurodegeneration (Figure 1). During AD pathogenesis, the production and release of proinflammatory cytokines and other detrimental components are intensified. In addition, the typical phagocytic action of microglia is decreased. Moreover, the microglial-dependent release of apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC) modulates the diffusion of the pathology within and between cerebral areas. Extracellular vesicles—constituted by microvesicles and exosomes and released by reactive microglia—play a role in AD pathogenesis (Figure 1). Finally, microglial cells are able to regulate AD pathogenesis via active interaction with neurons, astrocytes, and oligodendrocytes. Indeed, activated microglial cells induce altered astrocytes via proinflammatory cytokines (Figure 1). These astrocytes can rush and aggravate neuronal and oligodendrocytes death.
The still open question is to understand the specific contributions of neuronal and glial cells in the early phase of inflammation in preclinical AD. Aβ1−42 oligomers have a major role in synaptic depletion and gradual cognitive deterioration. They induce neuroinflammation and neurodegeneration by stimulating the microglia to produce and release proinflammatory cytokines and also by interfering with the synthesis of anti-inflammatory cytokines, for instance the transforming growth factor-beta 1 (TGF-β1) (Figure 2). This early proinflammatory process is characterized by neuronal and microglia-derived cytokines and chemokines as well as by mobilization of microglia toward Aβ-burdened neurons (Figure 2). In addition to Aβ, extracellular non-phosphorylated tau, rather than hyperphosphorylated tau (p-tau), activates the p38 mitogen-activated protein kinase (MAPK) pathway, eliciting a proinflammatory reaction.
The Role of Astrocytes
Astrocytes, differently from microglia and similarly to neurons and oligodendrocytes, arise from the neuroectoderm. These cells promotes synaptogenesis (axonal and dendritic spines sprouting), regulates the synaptic strength, take part in the spatial–temporal integration of multiple synaptic processes, and modulate the neurotransmission. Hence, astrocytes execute a variety of physiological activities, in both developing and adult brain, that are essential for synaptic plasticity and a solid and organized cognitive activity. Of note, astrocytes modulate Ca2+-dependent signaling pathways that are crucial for hippocampal synaptic function and plasticity. Indeed, depending on the fluctuations of intracellular Ca2+ concentrations, they release gliotransmitters, such as glutamate, D-serine, and ATP, which have feedback actions on neurons. Moreover, each astrocyte wraps several neurons, thus interacting with hundreds of neuronal dendrites and connecting with up to two million synapses in the human cortex. This kind of interconnectedness indicates that each astrocyte creates a hub to facilitate the integration of the information. Moreover, remodeling of astrocytes promotes neuroprotection and recovery of injured neural tissue. Along with microglia activation, hypertrophic reactive astrocytes gather around Aβ plaques as reported in human postmortem studies as well as in animal models. Like microglia, astrocytes are also activated by tissue injury, infection, and inflammation. In AD, after exposure to Aβ, astrocytes release various proinflammatory molecules, such as cytokines, interleukins (ILs), complement components, nitric oxide, and other cytotoxic compounds, ultimately amplifying the neuroinflammatory response.
Human neuropathological studies conducted on AD brains report the presence of cytoplasmic inclusions of non-fibrillar Aβ in astrocytes, supposed to reflect a phagocytic engulfment from extracellular Aβ deposits. In addition, rodent models of AD indicate the ability of astrocytes to uptake and clear Aβ in subjects bearing cerebral fibrillar aggregates and diffuse plaques. Conversely, the shutdown of astrocyte-mediated homeodynamics is associated with increased Aβ plaque burden and synaptic terminals dystrophy. This enhanced phagocytic activity may represent a compensatory mechanism to incipient increased Aβ accumulation to neutralize its induced toxicity.
Genes Modulating Neuroinflammation in Alzheimer's Disease
Genome-wide association studies (GWAS) allowed the detection of more than 40 susceptibility gene variants associated with a bigger risk of developing late-onset AD. These results include genes associated with immune reaction (in particular, ABCA7, CD33, CLU, CR1, EPHA1, HLA-DRB5-HLA-DRB1, and MS4A). The relevance of neuroinflammation is further sustained by recent large-scale GWAS showing that the risk of developing late-onset AD is substantially more elevated in individuals with rare variants of microglial immunoreceptors: TREM2, encoding the triggering receptor expressed on myeloid cells 2 protein; CD33 (transmembrane receptor CD33), expressed on cells of myeloid lineage; and PILRA (paired immunoglobulin-like type 2 receptor alpha).
The receptor protein TREM2 enhances the rate of phagocytosis in microglia and macrophages, modulates inflammatory signaling, and controls myeloid cell number, proliferation, and survival. Recent studies show that triggering TREM2 receptor in microglial cells is closely associated with the pathogenesis of AD. TREM2 modulates microglial functions (e.g., stimulates the production of inflammatory cytokines) in response to Aβ plaques and tau tangles. TREM2 absence enhances amyloid pathology, during early AD; however, this is exacerbated at later stages due to the loss of phagocytic Aβ clearance. TREM2 variants cause AD by decreasing the Aβ phagocytic ability of microglia and through the dysregulation of the proinflammatory response of these immune cells. Interestingly, the analysis of the existing single-cell transcriptome datasets for human neurons highlights the association of microglia with late-onset AD. In addition, the study of regulatory networks of genes showing differential expression in AD brains indicates that immune- and microglia-specific gene modules primarily contribute to AD pathophysiology. Finally, Tanzi and colleagues, after exploring the potential role of the cross-talk between CD33 and TREM2 in both neuroinflammation and the cause of AD, propose that TREM2 is working downstream of CD33 to modulate the neuroinflammatory process.
Role of Neuroinflammation in Adult Neurogenesis and Alzheimer's Disease
Besides the above-mentioned role of Aβ and tau in triggering neuroinflammation, it is assumed that the presence of extracellular tau plays a role in the transition from resting to active microglia. In the resting microglia, the protein fractalkine (CX3CL1), secreted by healthy neurons, binds to the cell receptor (CX3CR1) present in the microglia allowing the maintenance of microglia in the resting state. Tau pathology is shown to be associated with neuroinflammatory processes. On the other hand, microglia could be involved in tau propagation in tauopathies. In this scenario, microglial CX3CR1 acts like a receptor for extracellular tau, since the absence of CX3CR1 impairs the internalization of tau microglia. Thus, extracellular tau can compete with CX3CL1 for a common receptor. Microglia cells lacking CX3CR1 are deficient in neuronal CX3CL1 signaling and are not in the resting state. As a result, these active microglial cells could secrete some compounds, such as cytokines, potentially affecting neuronal functions like adult neurogenesis. The absence of the microglial CX3CR1 impairs the synaptic integration of adult born hippocampal granule neurons. Mice lacking CX3CR1 show modifications in both microglia and neurons of some cerebral areas, like dentate gyrus. Adult-newborn neurons, in CX3CR1–/– mice, show a deficient synaptic integration in the neuronal network and exhibit a diminished amount of dendritic spines. These display some morphological alterations, since mice lacking CX3CR1 protein have a hyperactive, anxiolytic-like, and depressive-like phenotype.
Mainly, all the previous remarks are observed in mouse models, but little is known about the consequences of changes in microglia in humans. Interestingly, CX3CL1 concentrations are reduced in the cerebrospinal fluid (CSF) of AD patients compared to control subjects, thus suggesting that variations in CX3CL1 levels might represent a new target to use in inflammation and AD. Two recent different publications describe the consequences, in humans, of having homozygous mutations in the colony-stimulating factor 1 receptor (CSF-1R) gene expressing a cell receptor essential for the development and maintenance of microglia. The consequences are the presence of abnormalities not only in brain structures, like corpus callosum, but also in bones that, in some cases, are overly dense and malformed. In the future, it will be interesting to explore possible changes in adult neurogenesis at the dentate gyrus in the autopsy, in the cases of patients with biallelic CSF-1R mutations.
Cellular and Molecular Neuroinflammatory Pathways in Alzheimer's Disease
Neuroinflammatory pathways and microglial cells activation are associated with neuronal ectopic cell cycle activation. In particular, microglial activation induced by Aβ oligomers promotes neuronal ectopic cell cycle events (CCEs) via the tumor necrosis factor-alpha (TNF-α) and the c-Jun kinase (JNK) signaling pathways. Hence, administering of non-steroidal anti-inflammatory drugs (NSAIDs) in AD transgenic mice precludes both microglial activation and stimulation of CCE. Two analyses report the capability of ibuprofen to alter the advancement of mild AD. However, forthcoming AD clinical trials show no effectiveness in mild dementia individuals, probably because these drugs are administered in a late phase of CNS inflammation. Indeed, recent studies designate initial CNS inflammation as an encouraging target to prevent the advancement of the pathology.
Today, it is widely accepted that oxidative stress is strongly associated with the inflammation observed in AD. In fact, neuroinflammatory processes can act both as cause and as effect of chronic oxidative stress (Figure 2). In this context, microglia play a pivotal role. Proinflammatory microglial activities may be detrimental in AD due to reactive oxygen and nitrogen intermediate species—ROS and RNS, respectively—leading to oxidative stress-induced neuronal death, which could be further exacerbated by chronic stress. Cumulative evidence suggests that microglial inflammation-induced oxidative stress in AD is amplified. In contrast, microglial-mediated clearance mechanisms are not functional.
TNF-α exerts a key role in this early proinflammatory process observed in preclinical AD as emerges from preclinical studies in animal models of AD as well as from human longitudinal studies. TNF-α is chronically released during the course of AD pathology, likely by activated microglia, neurons, and astrocytes stimulated by increased levels of extracellular Aβ. Aβ oligomeric forms activate microglia with anomalous TNF-α-mediated pathways in mouse models. Such an atypical stimulation of cerebral innate immunity is responsible for reduced serotonergic tonus, a primary event in depression due to Aβ, a prodromal symptom of AD. On the other hand, TNF-α can stimulate γ-secretase activity, which results in an increased synthesis of Aβ peptides and a further increase in TNF-α release. It is hypothesized that this auto-amplified loop in the AD brain can contribute to the maintenance of excessive levels of TNF-α, which could then stimulate Aβ synthesis and neuronal loss, also inhibiting microglia phagocytosis of Aβ (Figure 2). Finally, TNF-α significantly contributes to promote insulin resistance and the following cognitive decline in AD. Aβ oligomeric forms prompt peripheral glucose intolerance in mice by activating TNF-α signaling in the hypothalamus. Multiple studies detected elevated TNF-α levels in both mild cognitive impairment (MCI) and AD. Interestingly, Down syndrome cases with preclinical AD show significant links among augmented levels of plasma TNF-α, Aβ accumulation, and the following cognitive deterioration in the subsequent years.
TNF-α exerts its activity by binding two distinct high-affinity receptors (TNF-Rs) placed at the cell surface: TNF-RI, ubiquitously expressed apart from erythrocytes, and TNF-RII, whose expression is limited to myeloid cells, endothelial cells, oligodendrocytes, microglia, astrocytes, and subpopulations of neurons. The concentrations of the soluble forms of the TNF receptors (sTNF-RI and sTNF-RII) are typically unaltered in CSF and blood of AD patients compared to controls. However, both TNF-α and TNF-RI concentrations are increased in postmortem brains of early-stage AD patients. MCI subjects present controversial data; longitudinal studies report associations between TNF-R concentrations and the risk of conversion from MCI to AD. Notably, the TNF-α receptor complex and its functional proteins are assumed to play a crucial role since they link neuroinflammatory pathways to amyloid deposition process in a chronically damaging and self-perpetuating way.
A strong neurobiological link is also found in the AD brain between the deficit of anti-inflammatory cytokines, such as TGF-β1, and the early proinflammatory process observed in preclinical AD. TGF-β1 is a neurotrophic factor whose deficit exerts a key role in AD. A selective impairment of TGF-β1 pathway is present in early AD, both in the AD brain and in AD animal models. This deficit seems to critically contribute to neuroinflammation in AD brain. TGF-β1 displays both anti-inflammatory and neuroprotective actions and stimulates Aβ clearance by microglia. Furthermore, it exhibits a primary role in synaptic plasticity and memory creation processes, thus supporting the path from early to late long-term potentiation (LTP). We should reconsider the relevance of TGF-β1 in neuroinflammation resulting from microglia activation, contributing to reactivate the neuronal cell cycle in the AD brain. According to this scenario, the reactivation of the neuronal cell cycle might be assisted by the disruption of Smad-dependent TGF-β1 pathways. Overall, these studies suggest the potential contribution of the deficit of Smad-dependent TGF-β1 pathway to neuroinflammation and cognitive impairment.
Moreover, neuroinflammatory phenomena might impair neurotrophin signaling (Figure 2) and interfere with brain-derived neurotrophic factor (BDNF)-induced neuroprotection.
Finally, neuroinflammation can exert a primary function in AD pathophysiology by interfering with nerve growth factor (NGF) maturation and function. NGF is a neurotrophic factor essential for the survival and homeostasis of basal forebrain cholinergic neurons whose selective degeneration critically contributes to cognitive decline in AD patients. Studies in transgenic animal models of AD indicate that the proinflammatory process—initiated before plaque deposition and promoted by soluble Aβ oligomers—leads to an impairment of NGF metabolic pathway characterized by a reduced conversion of the precursor proNGF to the mature NGF (mNGF) as well as by an increased deprivation of mNGF. Neuroinflammatory processes promote an overactivation of metalloprotease-9 (MMP-9), as observed in the brains of Down syndrome patients, MCI subjects, and AD patients. Increased MMP-9 activity would then facilitate the degradation of mNGF, finally compromising mNGF activity in sustaining the trophic dependence of the cholinergic neurons. Notably, a strong correlation is present in Down syndrome cases showing preclinical AD among the plasma TNF-α increase, a deficit in NGF maturation (with grown concentrations of proNGF), and an increased degree of cognitive impairment. This study substantiates the key contribution of inflammatory markers (i.e., TNF-α) in combination with plasma Aβ1−42 levels and increased proNGF levels to better predict the worsening of “latent” AD pathology with the consequential cognitive decline in Down syndrome patients. The discovery of an imbalance in the metabolic pathway controlling NGF maturation and degradation in Down syndrome/AD patients provides a platform for the identification of novel biomarker candidates as well for the development of disease-modifying drugs. Therefore, drug discovery processes should be directed in the future to develop new drugs that are able to interfere with early CNS inflammation and, at the same time, rescue neurotrophin signaling (e.g., BDNF, NGF, TGF-β1) in the AD brain.
Targeting Neuroinflammation in Alzheimer's Disease: Evidence From Animal Models
Among the different mediators of inflammation explored, TNF-α mediates proinflammatory processes in various ND including AD. In normal conditions, TNF-α from glial cells modulates homeostatic activity-dependent regulation of synaptic connectivity. On the other hand, this cytokine mediates the disrupting effects of Aβ on LTP in experimental AD. Accordingly, mutant mice lacking TNF receptor type 1 exhibit normal LTP following Aβ application and similar results are obtained with the use of anti-TNF agents including the monoclonal antibody infliximab and thalidomide, which also inhibits TNF-α production. Generally, several studies indicate that blocking the TNF-α pathway in AD models is associated with: (I) improvement in memory decline, as tested in different behavioral tests evaluating cognitive function; (II) reduction in immunohistochemical and histopathological markers like formation of Aβ plaques and NFT; and (III) reduction in the number of microglial cells in the AD brain.
Similarly to TNF-α, also the proinflammatory cytokine IL-1β mediates the synaptotoxic effects of Aβ peptide. Indeed, the interleukin-1 receptor antagonist (IL-1Ra) is able to reverse synaptic plasticity alteration triggered by the administration of the 40-amino acid-long Aβ peptide (Aβ1−40). However, the role of ILs in AD pathogenesis is far more complex since some exert proinflammatory while others exert anti-inflammatory actions. In this frame, it is worth mentioning IL-12 and IL-23 which are increased in CSF in both AD and MCI. Notably, genetic ablation of IL-12 and IL-23 or therapeutic approaches directed against IL-12 and IL-23 signal reduce the AD-like pathology, including histopathological and behavioral changes, making them attractive targets for the treatment of AD. On the other hand, IL-10 seems to play a protective role since delivery of this cytokine via adeno-associated virus leads to markedly decreased microgliosis and astrogliosis as well as reversed cognitive impairment in transgenic AD mice, although the use of a different adeno-associated virus approach generates a different outcome.
There is a growing interest on the role of complement and microglia in AD pathology. Microglia cells have prominent functions in complement-mediated synaptic pruning, in the postnatal period. It is hypothesized that an inappropriate reactivation of this mechanism later in life could result in synapse loss, thus facilitating the progression of ND. In this frame, C1q, which mediates the toxic effects of Aβ oligomers on LTP, is increased in synaptic connections before plaque deposition, and inhibition of C1q, C3, or the microglial complement receptor CR3 diminishes phagocytic microglia, resulting in protection against synapse loss.
Investigations conducted in transgenic AD mice also address the effects of NSAIDs on amyloid load and inflammation. These studies suggest that NSAIDS not only exert neuroprotection through the suppression of inflammatory events but also reduce early amyloid pathology by mechanisms that remain unclear. Of note, two selective cyclooxygenase-2 (COX-2) inhibitors are found to be effective in rescuing LTP impairment by synthetic soluble Aβ1−42, whereas the same effect is not achieved with the cyclooxygenase-1 (COX-1) inhibitor piroxicam. Similarly, ibuprofen prevents early memory decline in AD model, and this effect is associated with activation of hippocampal plasticity-related genes. Overall, these studies indicate that NSAIDs exert neuroprotection and prevent memory decline through the modulation of multiple neuronal pathways.
Biomarkers of Neuroinflammation in Alzheimer's Disease
Most of the failed AD clinical trials—including trials investigating anti-inflammatory compounds—did not assess any biological in vivo identification of AD-related pathomechanistic alterations, thus preventing proof of mechanisms and including a percentage of subject displaying non-AD pathophysiology. Therefore, robust biomarkers–drug codevelopment pipelines are strongly recommended for next-generation clinical trials.
Fluid Biomarkers of Neuroinflammation in Alzheimer's Disease
Modifications of the concentrations of several cytokines and other inflammatory biomarkers associated with either microglia—e.g., soluble TREM2 (sTREM2), monocyte chemoattractant protein-1 (MCP-1), and YKL-40—or astroglia, e.g., YKL-40, are extensively investigated in AD patients. These alterations, potentially, reflect the inflammatory mechanisms within the CNS coupled with the neurodegenerative pathways. A recent meta-analysis reports higher concentration of YKL-40, sTREM2, MCP-1, and TGF-β in the CSF of AD patients compared to controls. In particular, robust evidence from several studies focus on CSF YKL-40 that shows a fair classificatory capability in differentiating between AD individuals and controls as well as in predicting the progression from the asymptomatic to later prodromal and dementia stages. However, its function in differentiating subjects with AD and other dementia remains controversial since neuroinflammation seems to be associated with neurodegeneration tout court and not with specific neurodegenerative pathways.
The clinical meaning of inflammatory biomarkers in blood needs to be elucidated, as they might represent low-invasive and low-cost screening tools of cerebral inflammatory activity during the early asymptomatic stages of AD. The main issue concerning the peripheral measurements of inflammatory biomarkers is that they may not directly reflect brain neuroinflammation. Nonetheless, IL-6 and IL-1β concentrations are significantly higher in AD compared to cognitively normal controls in four meta-analysis. IL-1β is a key molecule participating in the inflammatory response, cell proliferation, differentiation, and apoptosis. Some evidence suggest that IL-1β is produced and secreted by microglia cells in response to Aβ deposition, thus resulting in chronic neuroinflammation and, eventually, neuronal disruption, dysfunction, and neurodegeneration. A negative correlation between CSF concentrations of this cytokine and cognitive scores has also been described in AD. IL-6 levels are associated with the severity of cognitive decline as assessed by Mini-Mental State Examination (MMSE) scores. Notably, peripheral IL-6 concentrations positively correlate with the cerebral ventricular volumes and with matched CSF samples in AD. The peripheral modifications of IL-6 levels could begin in the prodromal phase of AD; indeed, a recent meta-analysis highlights the greater IL-6 concentrations in MCI subjects compared to controls. In line with these findings, a longitudinal study reports the association of elevated plasma IL-6 levels with a greater risk of cognitive decay, at 2-year clinical follow-up. Other cytokines emerging as candidate peripheral inflammatory biomarkers are IL-2, IL-12, IL-18, and TGF-β.
Overall, these studies have several biases to consider. First, the risk of misdiagnosis is high since AD and MCI diagnoses are mainly clinical based in the majority of the studies lacking the necessary biomarker information [e.g., cerebral amyloid-positron emission tomography (PET) uptake or CSF Aβ1−42 measurements]. This means that at least 20–25% of the AD patients and MCI subjects enrolled in the previous studies do not have cerebral amyloid deposition. Moreover, these studies are cross-sectional without an appropriate follow-up, and this could lead to incorrect MCI diagnosis. Indeed, the clinical picture of MCI is heterogeneous not only with a 10–15% annual rate of developing AD but also with a consistent proportion of individuals who recover, remain stable, or develop ND other than AD. In addition, the MCI classification (e.g., amnestic or non-amnestic), which significantly impacts clinical outcome, is inadequately specified in most of the studies. Furthermore, data regarding comorbidities—such as cerebrovascular diseases, coronary diseases, atrial fibrillation, periodontitis, and diabetes or concomitant drugs (e.g., non-steroidal inflammatory medications, corticosteroids, statins) that can significantly modify peripheral inflammatory biomarkers—have been rarely reported. For instance, persistent higher plasma levels of IL-1β and IL-6 are observed in relation to cardiovascular diseases as well as atherosclerosis. Other potential biases include technical issues: detection methods (e.g., ELISA kits) for inflammatory biomarkers in biological fluids are consistently different among studies as well as sample handling approaches [e.g., measurements on different fluids matrix (plasma or serum) and storage protocols].
In conclusion, neuroinflammation is certainly a relevant pathophysiological mechanism of neurodegeneration in AD. However, we still lack reliable inflammatory biomarkers to be used in a screening context of use. In essence, sTREM2, MCP-1, IL-6, TGF-β, and, particularly, YKL-40 are interesting novel inflammatory CSF biomarkers, but they cannot be proposed in detecting the early asymptomatic phases of AD, as it would be altered with disease-modifying treatments. Prospective observational studies enrolling large cohorts of participants with accurate clinical and biomarker-based characterizations are needed to identify potentially effective inflammatory blood-based biomarkers of AD.
PET Radiotracers Targeting Neuroinflammation in Alzheimer's Disease: State-of-the-Art on Human Studies
There are several genetic association studies highlighting a key role of neuroinflammation in AD by demonstrating the occurrence of specific genetic variations related to immune response in patients with ND including AD. As a direct consequence, the possibility of tracking the regional evolution of neuroinflammation and imaging non-invasively the neuroinflammatory process in AD patients opens up exciting novel opportunities to monitor disease progression and, eventually, to explore immune-therapeutic strategies to prevent or decelerate disease progression.
It is interesting to note that it could be possible to assess the neuroinflammatory status by conventional [18F]-fluorodeoxyglucose (FDG)-PET, provided that the whole uptake curve is studied. Neuroinflammation can be measured more specifically using targeted radio-ligands for PET imaging—that allow accomplishing the regional in vivo exploration of neuroinflammation—like [11C]-PK11195. A number of studies show alterations in [11C]-PK11195 binding in AD and several other ND, Parkinson's disease, and progressive supranuclear palsy, and the distributions of [11C]-PK11195 found in these studies are akin to the well-known distribution of neurodegeneration (e.g., posterior cortical regions in AD). However, one should also note that translocator protein (TSPO) gene polymorphisms can greatly affect binding affinity, and TSPO expression is not circumscribed to activated microglia, which can also occur on astrocytes, or endothelial cells. In this context, a number of novel TSPO-specific PET radiotracers are currently available, both carbon-11 (i.e., [11C]-PK11195, [11C]-PBR28) and fluoroine-18 labeled [e.g., [18F]-GE-180, [18F]-DPA-714, and [18F]-PBR06], typically used in preclinical investigations. In addition, a very recent tracer named [18F]-FEPPA is able to provide a high potential for TSPO-PET in humans.
Interestingly, microglia activation is only one (albeit important) part of the chain of events that eventually lead to neuroinflammation and that can potentially be imaged with even more specific tracers. For example, protein misfolding, aggregation, and accumulation may trigger glial response and, therefore, neurotoxicity. To date, the causal relationships between neuroinflammation and other pathogenetic mechanisms of AD is not elucidated yet. PET radiotracers can represent a suitable tool for untangling these dynamics along the roadmap of discovering new targets for anti-inflammatory disease-modifying strategies. In this context, a number of specific PET tracers can target protein aggregates in the brain. For example, the [11C]-Pittsburgh compound-B ([11C]-PIB) is able to bind Aβ fibers. Aβ can also be imaged through, e.g., (18F)-labeled derivatives like [18F]-Florbetaben, [18F]-Florbetapir, and [18F]-Flutemetamol. In addition, hyperphosphorylation and abnormal aggregation of tau, which is crucial to neuronal activity, can be imaged using definite tracers, using specific ligands: T807, Flortaucipir as well as the phenyl/pyridinyl-butadienyl-benzothiazole/benzothiazolium derivative PBB3. Additionally, tracers [18F]-FA and [18F]-EFA (analogs of 2-fluoroacetate, which can be utilized to inhibit glial cell metabolism) are able to selectively enter the metabolic compartment and may, therefore, be promising candidates for evaluating glial metabolism when thinking of astrocytic response.
Finally, there are other molecular targets that can offer a more exhaustive depiction of in vivo neuroinflammation. For example, the cyclooxygenase (COX) enzyme is involved in both inflammation and generation of proinflammatory mediators. In this context, COX-1 radioligands, like [11C]-KTP-Me, show promising results in AD animal models. In addition, the cannabinoid receptor type 2 (CB2R) is subject to upregulation in activated microglia in various ND, possibly in conjunction with a neuroprotective effect, and postmortem studies emphasize the potential of compounds like [11C]-RS-016, which show high specific binding. This is emphasizing the role of CB2R as an additional potential target for PET imaging of neuroinflammation, in humans. Further encouraging targets examined in preclinical examinations are the purinergic receptor P2X7 ([11C]-GSK1482160) and the adenosine receptor A2AR (i.e., [11C]-TMSX).
Clinical Trials of Anti-inflammatory Drugs in Alzheimer's Disease
NSAIDs have long been hypothesized to play a protective role in AD. This assumption is reinforced by several cohort analyses. A recent meta-analysis including 16 investigations demonstrate that present or previous utilization of NSAIDs is linked to a decreased relative risk of AD (0.81; 95% confidence interval, 0.70–0.94). Despite the observational epidemiological data suggesting a protective effect of NSAIDs and the evidence for a biologically plausible role for anti-inflammatory treatment, all placebo-controlled trials of a wide range of anti-inflammatory agents (NSAIDs, corticosteroids, and others) in both mild-to-moderate AD patients (Table 1) and MCI subjects (Table 2) are negative. Studies in cognitively normal subjects at risk of developing AD are also negative (Table 3). The first, large primary prevention study of naproxen and celecoxib [Alzheimer's Disease Anti-inflammatory Prevention Trial (ADAPT)] has been prematurely interrupted for cardiovascular safety concerns after the enrollment of 2, 528 subjects in the study and their treatment for a median time of 2 years. The study is not able to support the hypothesis that either drugs could postpone AD beginning in adults with a family history of dementia. A subsequent 2-year, primary prevention trial [Impact of Naproxen Treatment in Pre-symptomatic Alzheimer's Disease (INTREPAD)] has been used to compare the effects of naproxen and placebo on the Alzheimer Progression Score (APS) in 195 cognitively normal older persons with a positive family history of AD. Over time, the APS scores progressively increase to a similar extent in both study groups, thus suggesting that naproxen does not provide any benefit over placebo in slowing the progression of presymptomatic AD.
Stage-Dependent Neuroinflammatory Process in the Alzheimer's Brain
In spite of emerging epidemiological evidence, all large, longstanding, randomized, placebo-controlled investigations aiming at attenuating cerebral inflammation in AD display negative outcomes. The fact that anti-inflammatory therapies are not able to safeguard patients with overt dementia has been debated. Actually, a trial recruiting MCI individuals highlights that rofecoxib could rush the conversion to AD. Moreover, a primary prevention study involving celecoxib and naproxen in cognitively healthy elderly individuals showing family history of AD has been terminated in advance due to the existence of negative or harmful effects generated by the drugs. Additional longstanding, controlled studies examining anti-inflammatory drugs, including tarenflurbil in mild AD patients, prednisone, and celecoxib in mild-to-moderate AD patients, report the presence of detrimental consequences vs. placebo. NSAIDs negative and/or harmful effects, documented in AD, MCI, as well as in the stages preceding AD, are apparently in conflict with epidemiological data indicating diminished AD incidence after sustained treatment with NSAIDs. This is potentially related to the different impact of the disease stages on NSAIDs exposure. In this context, two different inflammatory responses in the AD pathophysiological process are assumed to exist: (I) one, at the early preclinical stage, with a predominantly proinflammatory component that is amenable to therapy; (II) another, at a later clinical stage, with predominantly innate/adaptive immune reactions not responsive to anti-inflammatory therapy. During the early inflammation stage, neurons stimulated by Aβ initiate the inflammatory process, and then, they induce intermediate microglia cells activation and their recruitment around Aβ-burdened neurons. Both neurons and microglia elicit a process exacerbating the disease characterized by the release of proinflammatory mediators (cytokines and chemokines) (Figure 3). The inflammatory immune response of the late plaque-associated stage involves different processes, including full microglial activation, microgliosis, and CNS invasion by peripheral monocytes. Both microglia and monocytes participate in phagocytic activities to eradicate toxic Aβ oligomers and, probably, cellular debris. This assumption is in line with data from the Rotterdam, the Cache County, and the US Veterans observational studies. The above-mentioned analyses emphasize the lack of protection following 2-year NSAID exposure before dementia onset. In case the timing of exposure defines whether NSAID administration is beneficial or harmful, then the negative results of the previously mentioned studies (ADAPT and INTREPAD) are not unexpected, given that the timing of exposure of the participants to NSAIDs was restricted (2 years). On this basis, NSAIDs might be useful for AD prevention when their administration occurs years before the usual onset age; however, when used later in life, they might increase the risk of disease. We cannot exclude the possibility that (I) the majority of the advantageous effects of NSAIDs, documented from epidemiological studies, may originate from different types of bias, and (II) actually, there is no established impact of NSAIDs on AD prevention or treatment.
Alector/Abbvie claim the generation of a monoclonal antibody (AL002) that binds and activates TREM2. AL002 entered its first phase 1 trial in 51 healthy adults and 16 AD patients. Alector is also starting its first trial of the anti-CD33 antibody, AL003. The microglial receptor CD33 opposes the effects of TREM2 signaling and may present a more amenable target because it would be inhibited rather than activated. In the first phase of the trial, 42 healthy adults will receive a single treatment of either placebo or one of seven different AL003 doses. The second, multiple-dose phase will enroll 12 AD patients, two of whom will receive placebo.
Of note, other drugs targeting neuroinflammation to treat AD are being developed and underwent clinical testing. XPro1595 is currently undergoing phase 1b clinical trials. Other examples are GC021109 and NP001. XPro1595 is a variant of TNF-α that forms heterotrimers with native soluble TNF-α and prevents its interaction with the type 1 TNF-α receptors. Unlike other non-selective TNF-α inhibitors, XPro1595 does not suppress innate immunity or myelination mediated by type 2 receptors. Differently from etanercept, long-term treatment with XPro1595 does not suppress hippocampal neurogenesis, learning, and memory in adult mice. In 5xFAD mice, twice-weekly subcutaneous administration of XPro1595 for 2 months reduced brain amyloid deposition and immune cell infiltration, and improved synaptic function. In young TgCRND8 mice, continuous subcutaneous infusion of XPro1595 for 1 month prevented brain amyloid deposition and normalized hippocampal neuron synaptic function. In 3xTg mice, intracranial administration of XPro1595 reduced amyloid pathology. In aged wild-type rats, intracranial infusions of XPro1595 for 6 weeks reduced microglia activation and improved synaptic function and cognition. A 12-week, open-label, phase 1b study of XPro1595 (weekly injections of 0.03, 1.0, or 3.0 mg/kg) is ongoing in 18 mild-to-moderate AD patients (NCT03943264). Participants were requested to have a positive amyloid test and evidence of peripheral inflammation [elevated blood C-reactive protein (CRP)]. Biomarkers of neuroinflammation in blood and CSF (CRP, TNF-α), IL-1β, and IL-6 are being measured.
GC 021109 targets microglial cells by binding the P2Y6 receptor, a metabotropic G-protein-coupled receptor, whose natural ligand is adenosine diphosphate, a metabolite of ATP. Astrocytes release ATP in response to the presence of Aβ aggregates and P2Y6 signaling is thought to be involved in shifting the phenotype of microglia, which tend to surround amyloid plaques, from patrolling to phagocytic. GC 021109 has been reported in the biotech press to stimulate both microglial phagocytosis and inhibit microglial release of proinflammatory cytokines such as IL-12; however, this information is not published in the peer-reviewed literature. A phase 1a study in 44 healthy volunteers has been carried out in 2015 (NCT02254369), and a 4-week, phase 1b study in 39 mild-to-moderate AD was completed in 2016 (NCT02386306). However, no results were reported.
NP001 is a pH-adjusted intravenous formulation of purified sodium chlorite. Within monocytes/macrophages, chlorite is converted into taurine chloramine that downregulates the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) expression and inhibits production of proinflammatory cytokine IL-1β. These mechanisms of downregulation transform inflammatory monocytes/macrophages from a proinflammatory to a basal phagocytic state. NP001 has been tested in patients with amyotrophic lateral sclerosis. A small study planned to be carried out in 14 mild-to-moderate AD patients (NCT03179501) was interrupted in 2018 for poor enrollment.
Preliminary Evidence of a Potential Biological Effect of NSAIDs
Profiling molecular pathways related to ND is expected to reveal novel pathways for therapeutic agents. In this context, inflammation represents a primarily involved pathway. Interestingly, a meta-analysis including 175 studies reports changes in several inflammatory biomarkers (IL-6, CRP, and TNF-α) in AD. Another meta-analysis including nine longitudinal studies shows a protective effect by NSAIDs against AD progress. Changes in the concentrations of blood (serum) inflammatory proteins—including IL-6, CRP, and TNF-α–define a serum-based proteomic signature potentially useful for AD diagnosis. Hence, according to the literature, anti-inflammatory compounds might be employed as therapeutic agents in AD and others ND. In this regard, a novel model based on PM for targeted NSAIDs therapy to specific AD patients is recently proposed by O'Bryant and colleagues. In particular, they determine whether a blood proteomic companion diagnostic (CDx) is able to predict response to NSAID treatment. The analysis of the proteome in plasma samples from the Alzheimer's Disease Cooperative Studies (ADCS) anti-inflammatory clinical trial, including 1-year administration of rofecoxib (25 mg once daily), naproxen (220 mg twice daily), or placebo (N = 351)—indicates that an overall NSAID-general CDx is accurate in detecting treatment response with 87% accuracy. Drug-specific companion diagnostics—Rofecoxib-CDx and Naproxen-CDx—generate a very high degree of accuracy in both rofecoxib (98%) and naproxen (97%) arms (234). This is a relevant example of direct evidence for a precision medicine-based model to address AD treatment via the creation of CDx-driven therapeutics.
Preliminary Evidence of a Potential Biological Effect of Monoclonal Antibodies Selectively Targeting Aβ Protofibrils
In the last 20 years, a rising body of experimental studies has indicated that soluble Aβ protofibrils are more synaptotoxic than insoluble Aβ plaque cores. For instance, the former display higher rates of synapse structure impairment, including LTP, than plaques. Of note, solubilization of Aβ plaque cores is strictly related to the release of smaller Aβ species, such as dimers, and downstream increase in synaptotoxicity. Therefore, it is argued that prefibrillar Aβ1−42 assemblies, rather than monomers or dimers, are the proximate mediators of Aβ toxicity.
With regard to CNS immune resident cells, growing evidence indicates that small soluble Aβ1−42 protofibrils are the main trigger of microglial activation. Indeed, experimental models of AD indicate that both microglia and astrocytes display not only a high sensitivity to Aβ structure in the internalization process but also emphasize their greater affinity for soluble Aβ protofibrils than mature insoluble fibrils. In this context, it is reported that small soluble Aβ1−42 protofibrils, rather than fibrils, can induce microglial activation, as reflected by increased cerebral levels of TNF-α.
The murine monoclonal antibody mAb158 displays a 1, 000-fold higher selectivity for protofibrils [N-terminal (1–16) of the Aβ sequence] vs. monomers and 10–15 times more efficient binding to protofibrils vs. fibrils.
Several studies, employing mAb158, suggest that astrocytic Aβ uptake depends on size and/or composition of Aβ aggregates, since astrocytes, if possible, engulf oligomeric Aβ over its fibrillar aggregation states.
Recent trials conducted in mice models of AD demonstrate that the antibody significantly slows down Aβ accumulation in astrocytes reducing the downstream Aβ-induced neuronal toxicity. The authors argue that their results provide a strong evidence for astrocytes to play a key mechanistic role in anti-Aβ immunotherapy.
The phase 2 preliminary results regarding the humanized IgG1 monoclonal version of mAb158 [BAN2401 (Biogen, Eisai Co., Ltd./BioArctic Neuroscience AB)]1 show that BAN2401 significantly reduces Aβ-PET standardized uptake value ratio (SUVr) as well as CSF neurogranin, p-tau, and neurofilament light chain protein levels over a 18-month clinical trial.
Exercise as an Anti-inflammatory Therapy in Alzheimer's Disease
Acute, unaccustomed exercise (i.e., of an unusual duration and/or intensity) can increase oxidative stress and act as a proinflammatory stimulus. However, this response is attenuated when exercise is performed regularly, with strong evidence actually supporting that “chronic” exercise upregulates an endogenous systemic anti-inflammatory response.
Large cohort studies indicate that higher levels of physical activity are inversely associated with inflammatory biomarkers, for instance CRP. There is meta-analytical evidence that regular physical exercise can reduce inflammation-related biomarkers (e.g., CRP, TNF-α) in middle-aged and older adults, these benefits being also present in individuals with cognitive impairment. Animal research indicates that the anti-inflammatory effects of exercise can also reach the brain tissue. Physical exercise training results in an enhanced anti-inflammatory status—as reflected by an increased expression of anti-inflammatory cytokines including IL-10β coupled with the decrease in proinflammatory cytokines (including TNF-α)—at the hippocampus level in a rat model of AD. Chronic exercise also promotes a conversion of the microglia from the proinflammatory (M1) to the anti-inflammatory (M2) phenotype in different rodent models of disease, including AD.
Although the mechanisms underlying exercise anti-inflammatory effects remain to be clearly elucidated, several pathways are currently proposed. Notably, contracting muscles act as an endocrine organ by releasing myokines (i.e., cytokines and other small peptides) to the bloodstream, which, in turn, induce numerous health benefits (such as a decrease in inflammation) at the multisystemic level, including the brain. Muscle-derived IL-6 promotes the systemic production of anti-inflammatory cytokines (IL-1Ra, IL-10) and downregulates the expression of proinflammatory cytokines (TNF-α, IL-1β). Other proposed mechanisms include exercise-induced reductions in adiposity (which, especially visceral fat, contribute to systemic inflammation), on the one hand, and increases in vagal tone, on the other hand, through the cholinergic anti-inflammatory pathway, an evolutionarily ancient circuit that modulates immune responses and the progression of inflammatory diseases. In conclusion, given the documented relevance of inflammation in most ND, there is strong biological rationale to support that exercise might serve as a coadjuvant therapeutic strategy against such conditions.
General Overview on Precision Medicine
The official launch of the US Precision Medicine Initiative (PMI), in 2015 (https://obamawhitehouse.archives.gov/precision-medicine), by the US President Obama followed by the National Institutes of Health (NIH) development of the US PMI Cohort Program (PMI-CP) and the creation of the US “All of Us Research Program” (available at https://allofus.nih.gov/) are contributing to make precision medicine one of the key topics in biomedical research, worldwide. These facts support the evolution of Medicine from the outdated “one-size-fits-all” paradigm—according to which treatments are conceived for the “average patient”—to the search for comprehensive and accurate stratification of individuals and future individually tailored therapeutic modalities and targeted therapies. Indeed, genetic and biological heterogeneity among individuals sharing the same clinical features (so-called clinical syndrome) is highly frequent in polygenic, multifactorial diseases with complex and non-linear pathophysiological dynamics, such as cancer and AD. In this regard, it is acknowledged that the adaptive and innate immune systems are characterized by enormous individual heterogeneity that accounts for the subject-specific response to vaccines and other immunomodulatory therapies. As a result, some drugs, regularly administered, can be of benefit only to a restricted subset of patients; other drugs might even have detrimental effects to some definite ethnic groups. Hence, the identification of the molecular/cellular and environmental factors indicating the presence and the type of reaction of a single AD patient to a specific therapy is crucial. The shift to individualized therapies and targeted treatments needs exploratory, unbiased, high-throughput, integrative, large-scale analyses of the features of the cohort's individuals with the disease. Cohorts stratified according to different multimodal-throughput technological platforms (“omic” sciences)—via systems biology—and different neuroimaging modalities—via systems neurophysiology—can be assimilated in the disease modeling to stratify and predict AD patient subgroups. Both systems biology and neurophysiology enable to perform a holistic, systemic exploration of complex interactions in biological systems, thus allowing an overview of cells/groups of cells, tissues, organs, organisms, and populations at multiple scales. High-throughput, integrative approaches permit to recover exhaustive biological information, supported by advanced powerful bioinformatics. This will enable the inclusive integration of both multiomic and clinical data to attain fast and significant interpretation. Precision medicine capitalizes on these theoretical and technological advancements. Particularly, the integration of the “omics” and the development of the “multiomic” disciplines—such as proteogenomics, whereby the involved technologies are next-generation sequencing and mass spectrometry—seem to be able to offer a substantial support for accurate phenotype prediction, individualized patient management, and precision medicine. Establishing precision medicine needs the implementation of a network of integrated disciplines and methods including the “omic” sciences, neuroimaging modalities, cognitive examinations, and clinical features. All these congregate toward many domains investigated using the systems theory approach. This allows the development of models explaining all systems levels—explored via systems biology and systems neurophysiology—and the different categories and scales of spatiotemporal data describing the complexity and clinical heterogeneity of any polygenic disease belonging to any medical fields, from oncology, to immunology (Figure 4), to neurology. Precision medicine aims at ameliorating the efficacy of prevention strategies and therapies using customized treatments tailored on the individual's “biological make-up”, based on the “P4 Medicine” (P4M) framework. To safeguard the rapid and full expansion of precision medicine in AD, the international Alzheimer Precision Medicine Initiative (APMI) and its own Cohort Program (APMI-CP) (available at https://www.apmiscience.com/)—thematicall associated with the US PMI and the US “All of Us Research Program”—are currently established and operational. In this connection, a therapeutic plan based on immune/inflammation modulation for a subset of AD and associated dementias is currently ongoing within the “Korean AD Research Platform Initiative Based on Immune-Inflammatory Biomarkers” (K-ARPI).
Conclusions
Systems theory/biology-based studies are needed to untangle the spatiotemporal dynamics of neuroinflammation and its related subcomponents. Biomarkers simultaneously tracking different molecular pathways (body fluid matrixes) along with brain neuroinflammation endophenotypes (neuroimaging markers) can untangle key temporal–spatial dynamics among glia, neuroinflammation, and other AD pathophysiological mechanisms. Implementing this approach will be necessary to fill the gap in the understanding of whether neuroinflammation represents a direct pathophysiological or compensatory mechanism or both, along the AD continuum. According to this assumption, a new pathway (mechanism)-based pharmacological model—intended to establish effective and functional biomarker-guided targeted and tailored treatments for preventive and neuroinflammation-freezing strategies—needs to be developed.
Author Contributions
HH, AV, and SL designed the concept of the manuscript, provided supervision and assisted with the writing and content of the manuscript. AV and SL assisted in the preparation of the figures. All authors provided their contribution in writing the manuscript, critically reviewing the completed manuscript, and approved the submitted version of the manuscript.
Conflict of Interest
HH is an employee of Eisai Inc. and serves as Senior Associate Editor for the Journal Alzheimer's & Dementia; during the past 3 years he had received lecture fees from Servier, Biogen, and Roche; research grants from Pfizer, Avid, and MSD Avenir (paid to the institution); travel funding from Eisai, Functional Neuromodulation, Axovant, Eli Lilly and company, Takeda and Zinfandel, GE-Healthcare, and Oryzon Genomics; consultancy fees from Qynapse, Jung Diagnostics, Cytox Ltd., Axovant, Anavex, Takeda and Zinfandel, GE Healthcare, Oryzon Genomics, and Functional Neuromodulation; and participated in scientific advisory boards of Functional Neuromodulation, Axovant, Eisai, Eli Lilly and company, Cytox Ltd., GE Healthcare, Takeda and Zinfandel, Oryzon Genomics, and Roche Diagnostics. He is coinventor in the following patents as a scientific expert and has received no royalties: In Vitro Multiparameter Determination Method for the Diagnosis and Early Diagnosis of Neurodegenerative Disorders Patent Number: 8916388; In Vitro Procedure for Diagnosis and Early Diagnosis of Neurodegenerative Diseases Patent Number: 8298784; Neurodegenerative Markers for Psychiatric Conditions Publication Number: 20120196300; In Vitro Multiparameter Determination Method for the Diagnosis and Early Diagnosis of Neurodegenerative Disorders Publication Number: 20100062463; In Vitro Method for the Diagnosis and Early Diagnosis of Neurodegenerative Disorders Publication Number: 20100035286; In Vitro Procedure for Diagnosis and Early Diagnosis of Neurodegenerative Diseases Publication Number: 20090263822. In Vitro Method for the Diagnosis of Neurodegenerative Diseases Patent Number: 7547553; CSF Diagnostic In Vitro Method for Diagnosis of Dementias and Neuroinflammatory Diseases Publication Number: 20080206797; In Vitro Method for the Diagnosis of Neurodegenerative Diseases Publication Number: 20080199966; Neurodegenerative Markers for Psychiatric Conditions Publication Number: 20080131921. SV is an officer and director of NeuroVision. LA-A is an employee of NeuroVision. EE is the unique owner of 2E Science, a for-profit private scientific company. Neither EE nor 2E Science have any commercial interest or financial tie in relation with this article. MW is employed by the company TranScrip Partners, Reading, United Kingdom. He is a clinical consultant of Chiesi Farmaceutici. AV is an employee of Eisai Inc. and received lecture honoraria from Roche, MagQu LLC, and Servier. SL received lecture honoraria from Roche and Servier. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References 294
- 1.
Association A 2017 Alzheimer's disease facts and figures. Alzheimer's Dement. (2017 ) 13:325–73.
Not in our library10.1016/j.jalz.2017.02.001
- 2.
Panza F Lozupone M Logroscino G Imbimbo BP. A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease. Nat Rev Neurol. (2019 ) 15:73–88.
Not in our library10.1038/s41582-018-0116-6
- 3.
Jack CR Bennett DA Blennow K Carrillo MC Dunn B Haeberlein SB. NIA-AA research framework: toward a biological definition of Alzheimer's disease. Alzheimers Dement. (2018 ) 14:535–62.
Not in our library10.1016/j.jalz.2018.02.018
- 4.
Hampel H Mesulam M-M Cuello AC Farlow MR Giacobini E Grossberg GT. The cholinergic system in the pathophysiology and treatment of Alzheimer's disease. Brain. (2018 ) 141:1917–33.
Not in our library10.1093/brain/awy132
- 5.
Sperling RA Aisen PS Beckett LA Bennett DA Craft S Fagan AM. Toward defining the preclinical stages of Alzheimer's disease: recommendations from the national institute on Aging-Alzheimer's association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. (2011 ) 7:280–92.
Not in our library10.1016/j.jalz.2011.03.003
- 6.
Dubois B Feldman HH Jacova C Hampel H Molinuevo JL Blennow K. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria. Lancet Neurol. (2014 ) 13:614–29.
Not in our library10.1016/s1474-4422(14)70090-0
- 7.
Mckhann GM Knopman DS Chertkow H Hyman BT Jack CR Kawas CH. The diagnosis of dementia due to Alzheimer's disease: recommendations from the national institute on Aging-Alzheimer's association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer's Dement. (2011 ) 7:263–9.
Not in our library10.1016/j.jalz.2011.03.005
- 8.
Albert MS DeKosky ST Dickson D Dubois B Feldman HH Fox NC. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the national institute on Aging-Alzheimer's association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer's Dement. (2011 ) 7:270–9.
Not in our library10.1016/j.jalz.2011.03.008
- 9.
Jack CR Bennett DA Blennow K Carrillo MC Feldman HH Frisoni GB. A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology. (2016 ) 87:539–47.
Not in our library10.1212/wnl.0000000000002923
- 10.
Hampel H O'Bryant SE Molinuevo JL Zetterberg H Masters CL Lista S. Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic. Nat Rev Neurol. (2018 ) 14:639–52.
Not in our library10.1038/s41582-018-0079-7
- 11.
- 12.
Heneka MT Carson MJ Khoury J El Landreth GE Brosseron F Feinstein DL. Neuroinflammation in Alzheimer's disease. Lancet Neurol. (2015 ) 14:388–405.
Not in our library10.1016/s1474-4422(15)70016-5
- 13.
Akiyama H Barger S Barnum S Bradt B Bauer J Cole GM. Inflammation and Alzheimer's disease. Neurobiol Aging. (2000 ) 21:383–421.
Not in our library10.1016/s0197-4580(00)00124-x
- 14.
Businaro R Corsi M Asprino R Di Lorenzo C Laskin D Corbo RM. Modulation of inflammation as a way of delaying Alzheimer's Disease progression: the diet's role. Curr Alzheimer Res. (2018 ) 15:363–80.
Not in our library10.2174/1567205014666170829100100
- 15.
Rogers J Webster S Lue LF Brachova L Civin WH Emmerling M. Inflammation and Alzheimer's disease pathogenesis. Neurobiol Aging. (1996 ) 17:681–6.
Not in our library10.1016/0197-4580(96)00115-7
- 16.
McGeer PL McGeer EG. The inflammatory response system of brain: implications for therapy of Alzheimer and other neurodegenerative diseases. Brain Res Brain Res Rev. (1995 ) 21:195–218.
Not in our library10.1016/0165-0173(95)00011-9
- 17.
Eikelenboom P Zhan S-S van Gool WA Allsop D. Inflammatory mechanisms in Alzheimer's disease. Trends Pharmacol Sci. (1994 ) 15:447–50.
Not in our library10.1016/0165-6147(94)90057-4
- 18.
Iulita MF Ganesh A Pentz R Flores Aguilar L Gubert P Ducatenzeiler A. Identification and preliminary validation of a plasma profile associated with cognitive decline in dementia and at-risk individuals: a retrospective cohort analysis. J Alzheimer's Dis. (2019 ) 67:327–41.
Not in our library10.3233/jad-180970
- 19.
Cuello AC. Early and late CNS Inflammation in Alzheimer's disease: two extremes of a continuum? Trends Pharmacol Sci. (2017 ) 38:956–66.
Not in our library10.1016/j.tips.2017.07.005
- 20.
Rogers J. Principles for central nervous system inflammation research: a call for a consortium approach. Alzheimer's Dement. (2018 ) 14:1553–9.
Not in our library10.1016/j.jalz.2018.01.008
- 21.
- 22.
- 23.
- 24.
Fan Z Brooks DJ Okello A Edison P. An early and late peak in microglial activation in Alzheimer's disease trajectory. Brain. (2017 ) 140:aww349.
Not in our library10.1093/brain/aww349
- 25.
Edison P Brooks DJ. Role of neuroinflammation in the trajectory of Alzheimer's disease and in vivo quantification using PET. J Alzheimer's Dis. (2018 ) 64:S339–51.
Not in our library10.3233/jad-179929
- 26.
Parbo P Ismail R Hansen K V Amidi A Mårup FH Gottrup H. Brain inflammation accompanies amyloid in the majority of mild cognitive impairment cases due to Alzheimer's disease. Brain. (2017 ) 140:2002–11.
Not in our library10.1093/brain/awx120
- 27.
Stevens B Allen NJ Vazquez LE Howell GR Christopherson KS Nouri N. The classical complement cascade mediates CNS synapse elimination. Cell. (2007 ) 131:1164–78.
Not in our library10.1016/j.cell.2007.10.036
- 28.
- 29.
Schafer DP Lehrman EK Stevens B. The quad-partite synapse: microglia-synapse interactions in the developing and mature CNS. Glia. (2013 ) 61:24–36.
Not in our library10.1002/glia.22389
- 30.
- 31.
Stojiljkovic MR Ain Q Bondeva T Heller R Schmeer C Witte OW. Phenotypic and functional differences between senescent and aged murine microglia. Neurobiol Aging. (2019 ) 74:56–69.
Not in our library10.1016/j.neurobiolaging.2018.10.007
- 32.
Arranz AM De Strooper B. The role of astroglia in Alzheimer's disease: pathophysiology and clinical implications. Lancet Neurol. (2019 ) 18:406–14.
Not in our library10.1016/s1474-4422(18)30490-3
- 33.
Gomez-Arboledas A Davila JC Sanchez-Mejias E Navarro V Nuñez-Diaz C Sanchez-Varo R. Phagocytic clearance of presynaptic dystrophies by reactive astrocytes in Alzheimer's disease. Glia. (2018 ) 66:637–53.
Not in our library10.1002/glia.23270
- 34.
Hansen D V Hanson JE Sheng M. Microglia in Alzheimer's disease. J Cell Biol. (2018 ) 217:459–72.
Not in our library10.1083/jcb.201709069
- 35.
Harry GJ. Microglia during development and aging. Pharmacol Ther. (2013 ) 139:313–26.
Not in our library10.1016/j.pharmthera.2013.04.013
- 36.
Graham LC Naldrett MJ Kohama SG Smith C Lamont DJ McColl BW. Regional molecular mapping of primate synapses during normal healthy aging. Cell Rep. (2019 ) 27:1018–26.e4.
Not in our library10.1016/j.celrep.2019.03.096
- 37.
Perry VH Holmes C. Microglial priming in neurodegenerative disease. Nat Rev Neurol. (2014 ) 10:217–24.
Not in our library10.1038/nrneurol.2014.38
- 38.
De Strooper B Karran E. The cellular phase of Alzheimer's disease. Cell. (2016 ) 164:603–15.
Not in our library10.1016/j.cell.2015.12.056
- 39.
Edwards FA. A unifying hypothesis for Alzheimer's disease: from Plaques to neurodegeneration. Trends Neurosci. (2019 ) 42:310–22.
Not in our library10.1016/j.tins.2019.03.003
- 40.
Rajendran L Paolicelli RC. Microglia-mediated synapse loss in Alzheimer's disease. J Neurosci. (2018 ) 38:2911–9.
Not in our library10.1523/jneurosci.1136-17.2017
- 41.
Arnold SE Louneva N Cao K Wang L-S Han L-Y Wolk DA. Cellular, synaptic, and biochemical features of resilient cognition in Alzheimer's disease. Neurobiol Aging. (2013 ) 34:157–68.
Not in our library10.1016/j.neurobiolaging.2012.03.004
- 42.
Chan WY Kohsaka S Rezaie P. The origin and cell lineage of microglia—New concepts. Brain Res Rev. (2007 ) 53:344–54.
Not in our library10.1016/j.brainresrev.2006.11.002
- 43.
Sarlus H Heneka MT. Microglia in Alzheimer's disease. J Clin Invest. (2017 ) 127:3240–9.
Not in our library10.1172/jci90606
- 44.
- 45.
Wang S Colonna M. Microglia in Alzheimer's disease: a target for immunotherapy. J Leukoc Biol. (2019 ) 106:JLB.MR0818-319R.
Not in our library10.1002/jlb.mr0818-319r
- 46.
Tang Y Le W. Differential roles of M1 and M2 microglia in neurodegenerative diseases. Mol Neurobiol. (2016 ) 53:1181–194.
Not in our library10.1007/s12035-014-9070-5
- 47.
Ransohoff RM. A polarizing question: do M1 and M2 microglia exist? Nat Neurosci. (2016 ) 19:987–91.
Not in our library10.1038/nn.4338
- 48.
- 49.
Simon E Obst J Gomez-Nicola D. The evolving dialogue of microglia and neurons in Alzheimer's disease: microglia as necessary transducers of pathology. Neuroscience. (2019 ) 405:24–34.
Not in our library10.1016/j.neuroscience.2018.01.059
- 50.
Wang Y Zhu T Wang M Zhang F Zhang G Zhao J. Icariin attenuates M1 activation of microglia and Aβ plaque accumulation in the hippocampus and prefrontal cortex by up-regulating PPARγ in restraint/isolation-stressed APP/PS1 Mice. Front Neurosci. (2019 ) 13:291.
Not in our library10.3389/fnins.2019.00291
- 51.
Forloni G Balducci C. Alzheimer's disease, oligomers, and inflammation. J Alzheimers Dis. (2018 ) 62:1261–76.
Not in our library10.3233/jad-170819
- 52.
Glass CK Saijo K Winner B Marchetto MC Gage FH. Mechanisms underlying inflammation in neurodegeneration. Cell. (2010 ) 140:918–34.
Not in our library10.1016/j.cell.2010.02.016
- 53.
Cameron B Landreth GE. Inflammation, microglia, and Alzheimer's disease. Neurobiol Dis. (2010 ) 37:503–9.
Not in our library10.1016/j.nbd.2009.10.006
- 54.
Yates SL Kocsis-Angle J Embury P Brunden KR. Inflammatory responses to amyloid fibrils. Methods Enzymol. (1999 ) 309:723–33.
Not in our library10.1016/s0076-6879(99)09048-5
- 55.
Bamberger ME Harris ME McDonald DR Husemann J Landreth GE. A cell surface receptor complex for fibrillar beta-amyloid mediates microglial activation. J Neurosci. (2003 ) 23:2665–74.
Not in our library10.1523/jneurosci.23-07-02665.2003
- 56.
Liu Y Walter S Stagi M Cherny D Letiembre M Schulz-Schaeffer W. LPS receptor (CD14): a receptor for phagocytosis of Alzheimer's amyloid peptide. Brain. (2005 ) 128:1778–89.
Not in our library10.1093/brain/awh531
- 57.
Paresce DM Ghosh RN Maxfield FR. Microglial cells internalize aggregates of the Alzheimer's disease amyloid β-protein via a scavenger receptor. Neuron. (1996 ) 17:553–65.
Not in our library10.1016/s0896-6273(00)80187-7
- 58.
Stewart CR Stuart LM Wilkinson K van Gils JM Deng J Halle A. CD36 ligands promote sterile inflammation through assembly of a toll-like receptor 4 and 6 heterodimer. Nat Immunol. (2010 ) 11:155–61.
Not in our library10.1038/ni.1836
- 59.
Simard AR Soulet D Gowing G Julien J-P Rivest S. Bone marrow-derived microglia play a critical role in restricting senile plaque formation in Alzheimer's disease. Neuron. (2006 ) 49:489–502.
Not in our library10.1016/j.neuron.2006.01.022
- 60.
Bolmont T Haiss F Eicke D Radde R Mathis CA Klunk WE. Dynamics of the microglial/amyloid interaction indicate a role in plaque maintenance. J Neurosci. (2008 ) 28:4283–92.
Not in our library10.1523/jneurosci.4814-07.2008
- 61.
Condello C Yuan P Schain A Grutzendler J. Microglia constitute a barrier that prevents neurotoxic protofibrillar Aβ42 hotspots around plaques. Nat Commun. (2015 ) 6:6176.
Not in our library10.1038/ncomms7176
- 62.
Hickman SE Allison EK El Khoury J. Microglial dysfunction and defective -amyloid clearance pathways in aging Alzheimer's disease mice. J Neurosci. (2008 ) 28:8354–60.
Not in our library10.1523/jneurosci.0616-08.2008
- 63.
Venegas C Kumar S Franklin BS Dierkes T Brinkschulte R Tejera D. Microglia-derived ASC specks cross-seed amyloid-β in Alzheimer's disease. Nature. (2017 ) 552:355–61.
Not in our library10.1038/nature25158
- 64.
Joshi P Turola E Ruiz A Bergami A Libera DD Benussi L. Microglia convert aggregated amyloid-β into neurotoxic forms through the shedding of microvesicles. Cell Death Differ. (2014 ) 21:582–93.
Not in our library10.1038/cdd.2013.180
- 65.
Liddelow SA Guttenplan KA Clarke LE Bennett FC Bohlen CJ Schirmer L. Neurotoxic reactive astrocytes are induced by activated microglia. Nature. (2017 ) 541:481–7.
Not in our library10.1038/nature21029
- 66.
Ferretti MT Cuello AC. Does a pro-inflammatory process precede Alzheimer's disease and mild cognitive impairment? Curr Alzheimer Res. (2011 ) 8:164–74.
Not in our library10.2174/156720511795255982
- 67.
Klein WL. Synaptotoxic amyloid-β oligomers: a molecular basis for the cause, diagnosis, and treatment of alzheimer's disease? J Alzheimer's Dis. (2012 ) 33:S49–65.
Not in our library10.3233/jad-2012-129039
- 68.
Ledo JH Azevedo EP Beckman D Ribeiro FC Santos LE Razolli DS. Cross talk between brain innate immunity and serotonin signaling underlies depressive-like behavior induced by Alzheimer's amyloid- oligomers in mice. J Neurosci. (2016 ) 36:12106–16.
Not in our library10.1523/jneurosci.1269-16.2016
- 69.
Caruso G Fresta C Musso N Giambirtone M Grasso M Spampinato S. Carnosine prevents Aβ-induced oxidative stress and inflammation in microglial cells: a key role of TGF-β1. Cells. (2019 ) 8:64.
Not in our library10.3390/cells8010064
- 70.
Caraci F Spampinato SF Morgese MG Tascedda F Salluzzo MG Giambirtone MC. Neurobiological links between depression and AD: the role of TGF-β1 signaling as a new pharmacological target. Pharmacol Res. (2018 ) 130:374–84.
Not in our library10.1016/j.phrs.2018.02.007
- 71.
Torrisi SA Geraci F Tropea MR Grasso M Caruso G Fidilio A. Fluoxetine and vortioxetine reverse depressive-like phenotype and memory deficits induced by Aβ1-42 oligomers in mice: a key role of transforming growth factor-β1. Front Pharmacol. (2019 ) 10:693.
Not in our library10.3389/fphar.2019.00693
- 72.
Hanzel CE Pichet-Binette A Pimentel LSB Iulita MF Allard S Ducatenzeiler A. Neuronal driven pre-plaque inflammation in a transgenic rat model of Alzheimer's disease. Neurobiol Aging. (2014 ) 35:2249–62.
Not in our library10.1016/j.neurobiolaging.2014.03.026
- 73.
Perea JR Ávila J Bolós M. Dephosphorylated rather than hyperphosphorylated tau triggers a pro-inflammatory profile in microglia through the p38 MAPK pathway. Exp Neurol. (2018 ) 310:14–21.
Not in our library10.1016/j.expneurol.2018.08.007
- 74.
Jensen CJ Massie A De Keyser J. Immune players in the CNS: the astrocyte. J Neuroimmune Pharmacol. (2013 ) 8:824–39.
Not in our library10.1007/s11481-013-9480-6
- 75.
Ben Achour S Pont-Lezica L Béchade C Pascual O. Is astrocyte calcium signaling relevant for synaptic plasticity? Neuron Glia Biol. (2010 ) 6:147–55.
Not in our library10.1017/s1740925x10000207
- 76.
Vincent AJ Gasperini R Foa L Small DH. Astrocytes in Alzheimer's disease: emerging roles in calcium dysregulation and synaptic plasticity. J Alzheimers Dis. (2010 ) 22:699–714.
Not in our library10.3233/jad-2010-101089
- 77.
Halassa MM Fellin T Haydon PG. The tripartite synapse: roles for gliotransmission in health and disease. Trends Mol Med. (2007 ) 13:54–63.
Not in our library10.1016/j.molmed.2006.12.005
- 78.
Halassa MM Fellin T Takano H Dong J-H Haydon PG. Synaptic islands defined by the territory of a single astrocyte. J Neurosci. (2007 ) 27:6473–7.
Not in our library10.1523/jneurosci.1419-07.2007
- 79.
Oberheim NA Wang X Goldman S Nedergaard M. Astrocytic complexity distinguishes the human brain. Trends Neurosci. (2006 ) 29:547–53.
Not in our library10.1016/j.tins.2006.08.004
- 80.
Sofroniew MV Vinters HV. Astrocytes: biology and pathology. Acta Neuropathol. (2010 ) 119:7–35.
Not in our library10.1007/s00401-009-0619-8
- 81.
Sofroniew MV. Molecular dissection of reactive astrogliosis and glial scar formation. Trends Neurosci. (2009 ) 32:638–47.
Not in our library10.1016/j.tins.2009.08.002
- 82.
Medeiros R LaFerla FM. Astrocytes: conductors of the Alzheimer disease neuroinflammatory symphony. Exp Neurol. (2013 ) 239:133–8.
Not in our library10.1016/j.expneurol.2012.10.007
- 83.
Olabarria M Noristani HN Verkhratsky A Rodríguez JJ. Concomitant astroglial atrophy and astrogliosis in a triple transgenic animal model of Alzheimer's disease. Glia. (2010 ) 58:831–8.
Not in our library10.1002/glia.20967
- 84.
Sekar S McDonald J Cuyugan L Aldrich J Kurdoglu A Adkins J. Alzheimer's disease is associated with altered expression of genes involved in immune response and mitochondrial processes in astrocytes. Neurobiol Aging. (2015 ) 36:583–91.
Not in our library10.1016/j.neurobiolaging.2014.09.027
- 85.
Yamaguchi H Sugihara S Ogawa A Saido TC Ihara Y. Diffuse plaques associated with astroglial amyloid β protein, possibly showing a disappearing stage of senile plaques. Acta Neuropathol. (1998 ) 95:217–22.
Not in our library10.1007/s004010050790
- 86.
Wyss-Coray T Loike JD Brionne TC Lu E Anankov R Yan F. Adult mouse astrocytes degrade amyloid-β in vitro and in situ. Nat Med. (2003 ) 9:453–7.
Not in our library10.1038/nm838
- 87.
Chao CC Hu S Sheng WS Bu D Bukrinsky MI Peterson PK. Cytokine-stimulated astrocytes damage human neurons via a nitric oxide mechanism. Glia. (1996 ) 16:276–84.
Not in our library10.1002/(sici)1098-1136(199603)16:3<276::aid-glia10>3.0.co;2-x
- 88.
Kamboh MI. A brief synopsis on the genetics of Alzheimer's disease. Curr Genet Med Rep. (2018 ) 6:133–5.
Not in our library10.1007/s40142-018-0155-8
- 89.
Guerreiro R Wojtas A Bras J Carrasquillo M Rogaeva E Majounie E TREM2 variants in Alzheimer's sisease. N Engl J Med. (2013 ) 368:117–27.
Not in our library10.1056/nejmoa1211851
- 90.
Griciuc A Serrano-Pozo A Parrado AR Lesinski AN Asselin CN Mullin K. Alzheimer's disease risk gene CD33 inhibits microglial uptake of amyloid beta. Neuron. (2013 ) 78:631–43.
Not in our library10.1016/j.neuron.2013.04.014
- 91.
Bradshaw EM Chibnik LB Keenan BT Ottoboni L Raj T Tang A. CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology. Nat Neurosci. (2013 ) 16:848–50.
Not in our library10.1038/nn.3435
- 92.
Rathore N Ramani SR Pantua H Payandeh J Bhangale T Wuster A. Paired immunoglobulin-like type 2 receptor alpha G78R variant alters ligand binding and confers protection to Alzheimer's disease. PLoS Genet. (2018 ) 14:e1007427.
Not in our library10.1371/journal.pgen.1007427
- 93.
Li J-T Zhang Y. TREM2 regulates innate immunity in Alzheimer's disease. J Neuroinflammation. (2018 ) 15:107.
Not in our library10.1186/s12974-018-1148-y
- 94.
Zheng H Cheng B Li Y Li X Chen X Zhang Y. TREM2 in Alzheimer's disease: microglial survival and energy metabolism. Front Aging Neurosci. (2018 ) 10:395.
Not in our library10.3389/fnagi.2018.00395
- 95.
Zhong L Chen X-F Wang T Wang Z Liao C Wang Z. Soluble TREM2 induces inflammatory responses and enhances microglial survival. J Exp Med. (2017 ) 214:jem.20160844.
Not in our library10.1084/jem.20160844
- 96.
Hickman SE El Khoury J. TREM2 and the neuroimmunology of Alzheimer's disease. Biochem Pharmacol. (2014 ) 88:495–8.
Not in our library10.1016/j.bcp.2013.11.021
- 97.
Calderon D Bhaskar A Knowles DA Golan D Raj T Fu AQ. Inferring relevant cell types for complex traits by using single-cell gene expression. Am J Hum Genet. (2017 ) 101:686–99.
Not in our library10.1016/j.ajhg.2017.09.009
- 98.
Zhang B Gaiteri C Bodea L-G Wang Z McElwee J Podtelezhnikov AA. Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's Disease. Cell. (2013 ) 153:707–20.
Not in our library10.1016/j.cell.2013.03.030
- 99.
Griciuc A Patel S Federico AN Choi SH Innes BJ Oram MK. TREM2 acts downstream of CD33 in modulating microglial pathology in Alzheimer's disease. Neuron. (2019 ) 103:820–35.e7.
Not in our library10.1016/j.neuron.2019.06.010
- 100.
- 101.
Bolós M Perea JR Terreros-Roncal J Pallas-Bazarra N Jurado-Arjona J Ávila J Llorens-Martín M. Absence of microglial CX3CR1 impairs the synaptic integration of adult-born hippocampal granule neurons. Brain Behav Immun. (2018 ) 68:76–89.
Not in our library10.1016/j.bbi.2017.10.002
- 102.
- 103.
Oosterhof N Chang IJ Karimiani EG Kuil LE Jensen DM Daza R. Homozygous mutations in CSF1R cause a pediatric-onset leukoencephalopathy and can result in congenital absence of microglia. Am J Hum Genet. (2019 ) 104:936–47.
Not in our library10.1016/j.ajhg.2019.03.010
- 104.
Guo L Bertola DR Takanohashi A Saito A Segawa Y Yokota T. Bi-allelic CSF1R mutations cause skeletal dysplasia of dysosteosclerosis-pyle disease spectrum and degenerative encephalopathy with brain malformation. Am J Hum Genet. (2019 ) 104:925–35.
Not in our library10.1016/j.ajhg.2019.03.004
- 105.
Bhaskar K Maphis N Xu G Varvel NH Kokiko-Cochran ON Weick JP. Microglial derived tumor necrosis factor-α drives Alzheimer's disease-related neuronal cell cycle events. Neurobiol Dis. (2014 ) 62:273–85.
Not in our library10.1016/j.nbd.2013.10.007
- 106.
Varvel NH Bhaskar K Kounnas MZ Wagner SL Yang Y Lamb BT NSAIDs prevent, but do not reverse, neuronal cell cycle reentry in a mouse model of Alzheimer disease. J Clin Invest. (2009 ) 119:3692–702.
Not in our library10.1172/jci39716
- 107.
Babiloni C Frisoni GB Del Percio C Zanetti O Bonomini C Cassetta E. Ibuprofen treatment modifies cortical sources of EEG rhythms in mild Alzheimer's disease. Clin Neurophysiol. (2009 ) 120:709–18.
Not in our library10.1016/j.clinph.2009.02.005
- 108.
Mhatre M Floyd RA Hensley K. Oxidative stress and neuroinflammation in Alzheimer's disease and amyotrophic lateral sclerosis: common links and potential therapeutic targets. J Alzheimers Dis. (2004 ) 6:147–57.
Not in our library10.3233/jad-2004-6206
- 109.
Bisht K Sharma K Tremblay M-È. Chronic stress as a risk factor for Alzheimer's disease: roles of microglia-mediated synaptic remodeling, inflammation, and oxidative stress. Neurobiol Stress. (2018 ) 9:9–21.
Not in our library10.1016/j.ynstr.2018.05.003
- 110.
Caruso G Caraci F Jolivet RB. Pivotal role of carnosine in the modulation of brain cells activity: multimodal mechanism of action and therapeutic potential in neurodegenerative disorders. Prog Neurobiol. (2019 ) 175:35–53.
Not in our library10.1016/j.pneurobio.2018.12.004
- 111.
McAlpine FE Tansey MG. Neuroinflammation and tumor necrosis factor signaling in the pathophysiology of Alzheimer's disease. J Inflamm Res. (2008 ) 1:29–39.
Not in our library10.2147/jir.s4397
- 112.
Cantarella G Di Benedetto G Puzzo D Privitera L Loreto C Saccone S. Neutralization of TNFSF10 ameliorates functional outcome in a murine model of Alzheimer's disease. Brain. (2015 ) 138:203–16.
Not in our library10.1093/brain/awu318
- 113.
Decourt B Lahiri D Sabbagh M. Targeting tumor necrosis factor alpha for Alzheimer's disease. Curr Alzheimer Res. (2016 ) 14:412–25.
Not in our library10.2174/1567205013666160930110551
- 114.
Ekert JO Gould RL Reynolds G Howard RJ. TNF alpha inhibitors in Alzheimer's disease: a systematic review. Int J Geriatr Psychiatry. (2018 ) 33:688–94.
Not in our library10.1002/gps.4871
- 115.
Iulita MF Caraci F Cuello AC. A link between nerve growth factor metabolic deregulation and amyloid-β-driven inflammation in down syndrome. CNS Neurol Disord Drug Targets. (2016 ) 15:434–47.
Not in our library10.2174/1871527315666160321104916
- 116.
Liao Y-F Wang B-J Cheng H-T Kuo L-H Wolfe MS. Tumor necrosis factor-α, interleukin-1β, and interferon-γ stimulate γ-secretase-mediated cleavage of amyloid precursor protein through a JNK-dependent MAPK pathway. J Biol Chem. (2004 ) 279:49523–32.
Not in our library10.1074/jbc.m402034200
- 117.
Koenigsknecht-Talboo J. Microglial phagocytosis induced by fibrillar -amyloid and IgGs are differentially regulated by proinflammatory cytokines. J Neurosci. (2005 ) 25:8240–9.
Not in our library10.1523/jneurosci.1808-05.2005
- 118.
Clark I Atwood C Bowen R Paz-Filho G Vissel B. Tumor necrosis factor-induced cerebral insulin resistance in Alzheimer's disease links numerous treatment rationales. Pharmacol Rev. (2012 ) 64:1004–26.
Not in our library10.1124/pr.112.005850
- 119.
Lourenco M V Clarke JR Frozza RL Bomfim TR Forny-Germano L Batista AF. TNF-α mediates PKR-dependent memory impairment and brain IRS-1 inhibition induced by Alzheimer's β-Amyloid oligomers in mice and monkeys. Cell Metab. (2013 ) 18:831–43.
Not in our library10.1016/j.cmet.2013.11.002
- 120.
- 121.
Ueberham U Ueberham E Gruschka H Arendt T. Altered subcellular location of phosphorylated smads in Alzheimer's disease. Eur J Neurosci. (2006 ) 24:2327–34.
Not in our library10.1111/j.1460-9568.2006.05109.x
- 122.
Tesseur I Zou K Esposito L Bard F Berber E Can J Van. Deficiency in neuronal TGF-β signaling promotes neurodegeneration and Alzheimer's pathology. J Clin Invest. (2006 ) 116:3060–9.
Not in our library10.1172/jci27341
- 123.
Caraci F Spampinato S Sortino MA Bosco P Battaglia G Bruno V. Dysfunction of TGF-β1 signaling in Alzheimer's disease: perspectives for neuroprotection. Cell Tissue Res. (2012 ) 347:291–301.
Not in our library10.1007/s00441-011-1230-6
- 124.
Liu C Liu Q Song L Gu Y Jie J Bai X. Dab2 attenuates brain injury in APP/PS1 mice via targeting transforming growth factor-beta/SMAD signaling. Neural Regen Res. (2014 ) 9:41–50.
Not in our library10.4103/1673-5374.125328
- 125.
- 126.
Tichauer JE von Bernhardi R. Transforming growth factor-β stimulates β amyloid uptake by microglia through Smad3-dependent mechanisms. J Neurosci Res. (2012 ) 90:1970–80.
Not in our library10.1002/jnr.23082
- 127.
Caraci F Gulisano W Guida CA Impellizzeri AAR Drago F Puzzo D. A key role for TGF-β1 in hippocampal synaptic plasticity and memory. Sci Rep. (2015 ) 5:11252.
Not in our library10.1038/srep11252
- 128.
Herrup K. The involvement of cell cycle events in the pathogenesis of Alzheimer's disease. Alzheimers Res Ther. (2010 ) 2:13.
Not in our library10.1186/alzrt37
- 129.
Tong L Balazs R Soiampornkul R Thangnipon W Cotman CW Interleukin-1β impairs brain derived neurotrophic factor-induced signal transduction. Neurobiol Aging. (2008 ) 29:1380–93.
Not in our library10.1016/j.neurobiolaging.2007.02.027
- 130.
- 131.
Song J-H Yu J-T Tan L. Brain-Derived neurotrophic factor in Alzheimer's disease: risk, mechanisms, and therapy. Mol Neurobiol. (2015 ) 52:1477–93.
Not in our library10.1007/s12035-014-8958-4
- 132.
Iulita MF Do Carmo S Ower AK Fortress AM Flores Aguilar L Hanna M. Nerve growth factor metabolic dysfunction in down's syndrome brains. Brain. (2014 ) 137:860–72.
Not in our library10.1093/brain/awt372
- 133.
Cuello AC Pentz R Hall H. The brain NGF metabolic pathway in health and in Alzheimer's pathology. Front Neurosci. (2019 ) 13:62.
Not in our library10.3389/fnins.2019.00062
- 134.
Bruno MA Leon WC Fragoso G Mushynski WE Almazan G Cuello AC. Amyloid β-Induced nerve growth factor dysmetabolism in Alzheimer disease. J Neuropathol Exp Neurol. (2009 ) 68:857–69.
Not in our library10.1097/nen.0b013e3181aed9e6
- 135.
Bruno MA Mufson EJ Wuu J Cuello AC. Increased matrix metalloproteinase 9 activity in mild cognitive impairment. J Neuropathol Exp Neurol. (2009 ) 68:1309–18.
Not in our library10.1097/nen.0b013e3181c22569
- 136.
Cheng X Shen Y Li R. Targeting TNF: a therapeutic strategy for Alzheimer's disease. Drug Discov Today. (2014 ) 19:1822–7.
Not in our library10.1016/j.drudis.2014.06.029
- 137.
Stellwagen D Malenka RC. Synaptic scaling mediated by glial TNF-α. Nature. (2006 ) 440:1054–9.
Not in our library10.1038/nature04671
- 138.
Wang Q Wu J Rowan MJ Anwyl R. β-amyloid inhibition of long-term potentiation is mediated via tumor necrosis factor. Eur J Neurosci. (2005 ) 22:2827–32.
Not in our library10.1111/j.1460-9568.2005.04457.x
- 139.
Shamim D Laskowski M. Inhibition of inflammation mediated through the tumor necrosis factor α biochemical pathway can lead to favorable outcomes in Alzheimer disease. J Cent Nerv Syst Dis. (2017 ) 9:117957351772251.
Not in our library10.1177/1179573517722512
- 140.
Mrak R. Interleukin-1, neuroinflammation, and Alzheimer's disease. Neurobiol Aging. (2001 ) 22:903–8.
Not in our library10.1016/s0197-4580(01)00287-1
- 141.
Schmid AW Lynch MA Herron CE. The effects of IL-1 receptor antagonist on beta amyloid mediated depression of LTP in the rat CA1 in vivo. Hippocampus. (2009 ) 19:670–6.
Not in our library10.1002/hipo.20542
- 142.
vom Berg J Prokop S Miller KR Obst J Kälin RE Lopategui-Cabezas I. Inhibition of IL-12/IL-23 signaling reduces Alzheimer's disease–like pathology and cognitive decline. Nat Med. (2012 ) 18:1812–9.
Not in our library10.1038/nm.2965
- 143.
Guerreiro RJ Santana I Brás JM Santiago B Paiva A Oliveira C. Peripheral inflammatory cytokines as biomarkers in Alzheimer's disease and mild cognitive impairment. Neurodegener Dis. (2007 ) 4:406–12.
Not in our library10.1159/000107700
- 144.
Griffin WST. Neuroinflammatory cytokine signaling and Alzheimer's disease. N Engl J Med. (2013 ) 368:770–1.
Not in our library10.1056/nejmcibr1214546
- 145.
Kiyota T Ingraham KL Swan RJ Jacobsen MT Andrews SJ Ikezu T. AAV serotype 2/1-mediated gene delivery of anti-inflammatory interleukin-10 enhances neurogenesis and cognitive function in APP+PS1 mice. Gene Ther. (2012 ) 19:724–33.
Not in our library10.1038/gt.2011.126
- 146.
Chakrabarty P Li A Ceballos-Diaz C Eddy JA Funk CC Moore B. IL-10 Alters immunoproteostasis in APP mice, increasing plaque burden and worsening cognitive behavior. Neuron. (2015 ) 85:519–33.
Not in our library10.1016/j.neuron.2014.11.020
- 147.
Wyss-Coray T Yan F Lin AH-T Lambris JD Alexander JJ Quigg RJ. Prominent neurodegeneration and increased plaque formation in complement-inhibited Alzheimer's mice. Proc Natl Acad Sci USA. (2002 ) 99:10837–42.
Not in our library10.1073/pnas.162350199
- 148.
Paolicelli RC Bolasco G Pagani F Maggi L Scianni M Panzanelli P. Synaptic pruning by microglia is necessary for normal brain development. Science. (2011 ) 333:1456–8.
Not in our library10.1126/science.1202529
- 149.
Schafer DP Lehrman EK Kautzman AG Koyama R Mardinly AR Yamasaki R. Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron. (2012 ) 74:691–705.
Not in our library10.1016/j.neuron.2012.03.026
- 150.
Stephan AH Barres BA Stevens B. The complement system: an unexpected role in synaptic pruning during development and disease. Annu Rev Neurosci. (2012 ) 35:369–89.
Not in our library10.1146/annurev-neuro-061010-113810
- 151.
Hong S Beja-Glasser VF Nfonoyim BM Frouin A Li S Ramakrishnan S. Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science. (2016 ) 352:712–6.
Not in our library10.1126/science.aad8373
- 152.
McGeer PL McGeer EG. NSAIDs and Alzheimer disease: epidemiological, animal model and clinical studies. Neurobiol Aging. (2007 ) 28:639–47.
Not in our library10.1016/j.neurobiolaging.2006.03.013
- 153.
Cole GM Frautschy SA. Mechanisms of action of non-steroidal anti-inflammatory drugs for the prevention of Alzheimer's disease. CNS Neurol Disord Drug Targets. (2010 ) 9:140–8.
Not in our library10.2174/187152710791011991
- 154.
Kotilinek LA Westerman MA Wang Q Panizzon K Lim GP Simonyi A. Cyclooxygenase-2 inhibition improves amyloid-beta-mediated suppression of memory and synaptic plasticity. Brain. (2008 ) 131:651–64.
Not in our library10.1093/brain/awn008
- 155.
Woodling NS Colas D Wang Q Minhas P Panchal M Liang X. Cyclooxygenase inhibition targets neurons to prevent early behavioural decline in Alzheimer's disease model mice. Brain. (2016 ) 139:2063–81.
Not in our library10.1093/brain/aww117
- 156.
Malkki H. NSAIDs protect neurons and preserve memory in a mouse model of AD. Nat Rev Neurol. (2016 ) 12:370–1.
Not in our library10.1038/nrneurol.2016.79
- 157.
Hampel H Goetzl EJ Kapogiannis D Lista S Vergallo A. Biomarker-drug and liquid biopsy co-development for disease staging and targeted therapy: cornerstones for Alzheimer's precision medicine and pharmacology. Front Pharmacol. (2019 ) 10:310.
Not in our library10.3389/fphar.2019.00310
- 158.
- 159.
Hampel H Lista S Neri C Vergallo A. Time for the systems-level integration of aging: resilience enhancing strategies to prevent Alzheimer's disease. Prog Neurobiol. (2019 ) 181:101662.
Not in our library10.1016/j.pneurobio.2019.101662
- 160.
Shen X-N Niu L-D Wang Y-J Cao X-P Liu Q Tan L. Inflammatory markers in Alzheimer's disease and mild cognitive impairment: a meta-analysis and systematic review of 170 studies. J Neurol Neurosurg Psychiatry. (2019 ) 90:590–8.
Not in our library10.1136/jnnp-2018-319148
- 161.
Lai KSP Liu CS Rau A Lanctôt KL Köhler CA Pakosh M. Peripheral inflammatory markers in Alzheimer's disease: a systematic review and meta-analysis of 175 studies. J Neurol Neurosurg Psychiatry. (2017 ) 88:876–82.
Not in our library10.1136/jnnp-2017-316201
- 162.
Su C Zhao K Xia H Xu Y. Peripheral inflammatory biomarkers in Alzheimer's disease and mild cognitive impairment: a systematic review and meta-analysis. Psychogeriatrics. (2019 ) 19:300–9.
Not in our library10.1111/psyg.12403
- 163.
Swardfager W Lanctôt K Rothenburg L Wong A Cappell J Herrmann N. A meta-analysis of cytokines in Alzheimer's disease. Biol Psychiatry. (2010 ) 68:930–41.
Not in our library10.1016/j.biopsych.2010.06.012
- 164.
Saleem M Herrmann N Swardfager W Eisen R Lanctôt KL. Inflammatory markers in mild cognitive impairment: a meta-Analysis. J Alzheimer's Dis. (2015 ) 47:669–79.
Not in our library10.3233/jad-150042
- 165.
Olsson B Lautner R Andreasson U Öhrfelt A Portelius E Bjerke M Hölttä M. CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis. Lancet Neurol. (2016 ) 15:673–84.
Not in our library10.1016/s1474-4422(16)00070-3
- 166.
Dhiman K Blennow K Zetterberg H Martins RN Gupta VB. Cerebrospinal fluid biomarkers for understanding multiple aspects of Alzheimer's disease pathogenesis. Cell Mol Life Sci. (2019 ) 76:1833–63.
Not in our library10.1007/s00018-019-03040-5
- 167.
Baldacci F Lista S Cavedo E Bonuccelli U Hampel H. Diagnostic function of the neuroinflammatory biomarker YKL-40 in Alzheimer's disease and other neurodegenerative diseases. Expert Rev Proteomics. (2017 ) 14:285–99.
Not in our library10.1080/14789450.2017.1304217
- 168.
Baldacci F Lista S Palermo G Giorgi FS Vergallo A Hampel H. The neuroinflammatory biomarker YKL-40 for neurodegenerative diseases: advances in development. Expert Rev Proteomics. (2019 ) 16:593–600.
Not in our library10.1080/14789450.2019.1628643
- 169.
Heppner FL Ransohoff RM Becher B. Immune attack: the role of inflammation in Alzheimer disease. Nat Rev Neurosci. (2015 ) 16:358–72.
Not in our library10.1038/nrn3880
- 170.
Hampel H Vergallo A Afshar M Akman-Anderson L Arenas J Benda N. Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer's disease? Dialogues Clin Neurosci. (2019 ) 21:177–91.
Not in our library10.31887/dcns.2019.21.2/hhampel
- 171.
Hampel H Vergallo A Giorgi FS Kim SH Depypere H Graziani M. Precision medicine and drug development in Alzheimer's disease: the importance of sexual dimorphism and patient stratification. Front Neuroendocrinol. (2018 ) 50:31–51.
Not in our library10.1016/j.yfrne.2018.06.001
- 172.
Baldacci F Lista S O'Bryant SE Ceravolo R Toschi N Hampel H. Blood-based biomarker screening with agnostic biological definitions for an accurate diagnosis within the dimensional spectrum of neurodegenerative diseases. In: Perneczky R, editor. Methods in Molecular Biology. New York, NY: Humana Press Inc (2016 ). p. 139–155.
Not in our library10.1007/978-1-4939-7704-8_9
- 173.
Tarkowski E Liljeroth A-M Minthon L Tarkowski A Wallin A Blennow K. Cerebral pattern of pro- and anti-inflammatory cytokines in dementias. Brain Res Bull. (2003 ) 61:255–60.
Not in our library10.1016/s0361-9230(03)00088-1
- 174.
Teixeira AL Reis HJ Coelho FM Carneiro DS Teixeira MM Vieira LB. All-or-Nothing type biphasic cytokine production of human lymphocytes after exposure to Alzheimer's β-Amyloid Peptide. Biol Psychiatry. (2008 ) 64:891–5.
Not in our library10.1016/j.biopsych.2008.07.019
- 175.
Hesse R Wahler A Gummert P Kirschmer S Otto M Tumani H. Decreased IL-8 levels in CSF and serum of AD patients and negative correlation of MMSE and IL-1β. BMC Neurol. (2016 ) 16:185.
Not in our library10.1186/s12883-016-0707-z
- 176.
- 177.
Sun Y-X Minthon L Wallmark A Warkentin S Blennow K Janciauskiene S. Inflammatory Markers in Matched Plasma and Cerebrospinal Fluid from Patients with Alzheimer's Disease. Dement Geriatr Cogn Disord. (2003 ) 16:136–44.
Not in our library10.1159/000071001
- 178.
Bermejo P Martín-Aragón S Benedí J Susín C Felici E Gil P. Differences of peripheral inflammatory markers between mild cognitive impairment and Alzheimer's disease. Immunol Lett. (2008 ) 117:198–202.
Not in our library10.1016/j.imlet.2008.02.002
- 179.
Winblad B Palmer K Kivipelto M Jelic V Fratiglioni L Wahlund L-O Mild cognitive impairment–beyond controversies, toward a consensus: report of the international working group on mild cognitive impairment. J Intern Med. (2004 ) 256:240–6.
Not in our library10.1111/j.1365-2796.2004.01380.x
- 180.
Dubois B Feldman HH Jacova C Cummings JL DeKosky ST Barberger-Gateau P. Revising the definition of Alzheimer's disease: a new lexicon. Lancet Neurol. (2010 ) 9:1118–27.
Not in our library10.1016/s1474-4422(10)70223-4
- 181.
Libby P. Inflammation in atherosclerosis. Nature. (2002 ) 420:868–74.
Not in our library10.1038/nature01323
- 182.
Ikeda U Ito T Shimada K. Interleukin-6 and acute coronary syndrome. Clin Cardiol. (2001 ) 24:701–4.
Not in our library10.1002/clc.4960241103
- 183.
Villegas-Llerena C Phillips A Garcia-Reitboeck P Hardy J Pocock JM. Microglial genes regulating neuroinflammation in the progression of Alzheimer's disease. Curr Opin Neurobiol. (2016 ) 36:74–81.
Not in our library10.1016/j.conb.2015.10.004
- 184.
Yang Z Zan Y Zheng X Hai W Chen K Huang Q. Dynamic FDG-PET imaging to differentiate malignancies from inflammation in subcutaneous and in situ mouse model for Non-Small Cell Lung Carcinoma (NSCLC). PLoS ONE. (2015 ) 10:e0139089.
Not in our library10.1371/journal.pone.0139089
- 185.
Cosenza-Nashat M Zhao M-L Suh H-S Morgan J Natividad R Morgello S. Expression of the translocator protein of 18 kDa by microglia, macrophages and astrocytes based on immunohistochemical localization in abnormal human brain. Neuropathol Appl Neurobiol. (2009 ) 35:306–28.
Not in our library10.1111/j.1365-2990.2008.01006.x
- 186.
Edison P Archer HA Gerhard A Hinz R Pavese N Turkheimer FE Microglia, amyloid, and cognition in Alzheimer's disease: an [11C](R)PK11195-PET and [11C]PIB-PET study. Neurobiol Dis. (2008 ) 32:412–9.
Not in our library10.1016/j.nbd.2008.08.001
- 187.
Schuitemaker A Kropholler MA Boellaard R van der Flier WM Kloet RW van der Doef TF. Microglial activation in Alzheimer's disease: an (R)-[11C]PK11195 positron emission tomography study. Neurobiol Aging. (2013 ) 34:128–36.
Not in our library10.1016/j.neurobiolaging.2012.04.021
- 188.
Stefaniak J O'Brien J. Imaging of neuroinflammation in dementia: a review. J Neurol Neurosurg Psychiatry. (2015 ) 87:jnnp-2015-311336.
Not in our library10.1136/jnnp-2015-311336
- 189.
Passamonti L Rodríguez PV Hong YT Allinson KSJ Bevan-Jones WR Williamson D. [11C]PK11195 binding in Alzheimer disease and progressive supranuclear palsy. Neurology. (2018 ) 90:e1989–96.
Not in our library10.1212/wnl.0000000000005610
- 190.
Fan Z Aman Y Ahmed I Chetelat G Landeau B Ray Chaudhuri K. Influence of microglial activation on neuronal function in Alzheimer's and parkinson's disease dementia. Alzheimer's Dement. (2015 ) 11:608–21.e7.
Not in our library10.1016/j.jalz.2014.06.016
- 191.
Fernández-Botrán R Ahmed Z Crespo FA Gatenbee C Gonzalez J Dickson DW. Cytokine expression and microglial activation in progressive supranuclear palsy. Parkinsonism Relat Disord. (2011 ) 17:683–8.
Not in our library10.1016/j.parkreldis.2011.06.007
- 192.
Owen DRJ Gunn RN Rabiner EA Bennacef I Fujita M Kreisl WC. Mixed-affinity binding in humans with 18-kDa translocator protein ligands. J Nucl Med. (2011 ) 52:24–32.
Not in our library10.2967/jnumed.110.079459
- 193.
Lavisse S Guillermier M Herard A-S Petit F Delahaye M Van Camp N. Reactive astrocytes overexpress TSPO and are detected by TSPO positron emission tomography imaging. J Neurosci. (2012 ) 32:10809–18.
Not in our library10.1523/jneurosci.1487-12.2012
- 194.
Airas L Dickens AM Elo P Marjamaki P Johansson J Eskola O. In Vivo pet imaging demonstrates diminished microglial activation after fingolimod treatment in an animal model of multiple sclerosis. J Nucl Med. (2015 ) 56:305–10.
Not in our library10.2967/jnumed.114.149955
- 195.
Rusjan PM Wilson AA Bloomfield PM Vitcu I Meyer JH Houle S. Quantitation of translocator protein binding in human brain with the novel radioligand [ 18 F]-FEPPA and positron emission tomography. J Cereb Blood Flow Metab. (2011 ) 31:1807–16.
Not in our library10.1038/jcbfm.2011.55
- 196.
- 197.
- 198.
- 199.
Marik J Ogasawara A Martin-McNulty B Ross J Flores JE Gill HS. PET of glial metabolism using 2-18F-Fluoroacetate. J Nucl Med. (2009 ) 50:982–90.
Not in our library10.2967/jnumed.108.057356
- 200.
Tronel C Largeau B Santiago Ribeiro M Guilloteau D Dupont A-C Arlicot N. Molecular targets for PET imaging of activated microglia: the current situation and future expectations. Int J Mol Sci. (2017 ) 18:802.
Not in our library10.3390/ijms18040802
- 201.
Shukuri M Mawatari A Ohno M Suzuki M Doi H Watanabe Y Detection of cyclooxygenase-1 in activated microglia during amyloid plaque progression: PET studies in alzheimers disease model mice. J Nucl Med. (2016 ) 57:291–6.
Not in our library10.2967/jnumed.115.166116
- 202.
Benito C Tolón RM Pazos MR Núñez E Castillo AI Romero J Cannabinoid CB 2 receptors in human brain inflammation. Br J Pharmacol. (2008 ) 153:277–85.
Not in our library10.1038/sj.bjp.0707505
- 203.
Palazuelos J Aguado T Pazos MR Julien B Carrasco C Resel E. Microglial CB2 cannabinoid receptors are neuroprotective in Huntington's disease excitotoxicity. Brain. (2009 ) 132:3152–64.
Not in our library10.1093/brain/awp239
- 204.
Slavik R Herde AM Bieri D Weber M Schibli R Krämer SD. Synthesis, radiolabeling and evaluation of novel 4-oxo-quinoline derivatives as PET tracers for imaging cannabinoid type 2 receptor. Eur J Med Chem. (2015 ) 92:554–64.
Not in our library10.1016/j.ejmech.2015.01.028
- 205.
Territo PR Meyer JA Peters JS Riley AA McCarthy BP Gao M Characterization of 11 C-GSK1482160 for targeting the P2X7 receptor as a biomarker for neuroinflammation. J Nucl Med. (2017 ) 58:458–65.
Not in our library10.2967/jnumed.116.181354
- 206.
- 207.
Sainati SM Ingram DM Talwalker S Geis G Results of a double-blind, randomized, placebo-controlled study of celecoxib in the treatment of progression of Alzheimer's disease. In: Sixth International Stockholm/Springfield Symposium on Advances in Alzheimer Therapy. Sweden: Stockholm (2000 ).
Not in our library
- 208.
Soininen H West C Robbins J Niculescu L. Long-term efficacy and safety of celecoxib in Alzheimer's Disease. Dement Geriatr Cogn Disord. (2007 ) 23:8–21.
Not in our library10.1159/000096588
- 209.
Bain A Alzheimer disease: dapsone phase 2 trial results reported. Immune Network Ltd. Press release, October 15, 2002
Not in our library
- 210.
Scharf S Mander A Ugoni A Vajda F Christophidis NP. A double-blind, placebo-controlled trial of diclofenac/misoprostol in Alzheimer's disease. Neurology. (1999 ) 53:197–201.
Not in our library10.1212/wnl.53.1.197
- 211.
Van Gool WA Weinstein HC Scheltens P Walstra GJ. Effect of hydroxychloroquine on progression of dementia in early Alzheimer's disease: an 18-month randomised, double-blind, placebo-controlled study. Lancet. (2001 ) 358:455–60.
Not in our library10.1016/s0140-6736(01)05623-9
- 212.
Pasqualetti P Bonomini C Dal Forno G Paulon L Sinforiani E Marra C. A randomized controlled study on effects of ibuprofen on cognitive progression of Alzheimer's disease. Aging Clin Exp Res. (2009 ) 21:102–10.
Not in our library10.1007/bf03325217
- 213.
Rogers J Kirby LC Hempelman SR Berry DL Mcgeer PL Kaszniak AW. Clinical trial of indomethacin in Alzheimer's disease. Neurology. (1993 ) 43:1609–11.
Not in our library10.1212/wnl.43.8.1609
- 214.
de Jong D Jansen R Hoefnagels W Jellesma-Eggenkamp M Verbeek M Borm G. No effect of one-year treatment with indomethacin on Alzheimer's disease progression: a randomized controlled trial. PLoS ONE. (2008 ) 3:e1475.
Not in our library10.1371/journal.pone.0001475
- 215.
Aisen PS Schafer KA Grundman M Pfeiffer E Sano M Davis KL. Effects of rofecoxib or naproxen vs placebo on Alzheimer disease progression. JAMA. (2003 ) 289:2819.
Not in our library10.1001/jama.289.21.2819
- 216.
Aisen PS Schmeidler J Pasinetti GM. Randomized pilot study of nimesulide treatment in Alzheimer's disease. Neurology. (2002 ) 58:1050–4.
Not in our library10.1212/wnl.58.7.1050
- 217.
Aisen PS Davis KL Berg JD Schafer K Campbell K Thomas RG. A randomized controlled trial of prednisone in Alzheimer's disease. Neurology. (2000 ) 54:588.
Not in our library10.1212/wnl.54.3.588
- 218.
Reines SA Block GA Morris JC Liu G Nessly ML Lines CR. Rofecoxib: no effect on Alzheimer's disease in a 1-year, randomized, blinded, controlled study. Neurology. (2004 ) 62:66–71.
Not in our library10.1212/wnl.62.1.66
- 219.
Wilcock GK Black SE Hendrix SB Zavitz KH Swabb EA Laughlin MA Tarenflurbil Phase II Study investigators. Efficacy and safety of tarenflurbil in mild to moderate Alzheimer's disease: a randomised phase II trial. Lancet Neurol. (2008 ) 7:483–93.
Not in our library10.1016/s1474-4422(08)70090-5
- 220.
Green RC. Effect of tarenflurbil on cognitive decline and activities of daily living in patients with mild alzheimer disease a randomized controlled trial. JAMA. (2009 ) 302:2557–64.
Not in our library10.1001/jama.2009.1866
- 221.
Wilcock GK Black SE Balch AH Amato DA Beelen AP Schneider LS Safety and efficacy of tarenflurbil in subjects with mild Alzheimer's disease: results from an 18-month international multi-center Phase 3 trial. Alzheimers Dement. (2009 ) 5(Suppl. 1):P86.
Not in our library10.1016/j.jalz.2009.05.220
- 222.
Small GW Siddarth P Silverman DH Ercoli LM Miller KJ Lavretsky H. Cognitive and cerebral metabolic effects of celecoxib versus placebo in people with age-related memory loss: randomized controlled study. Am J Geriatr Psychiatry. (2008 ) 16:999–1009.
Not in our library10.1097/jgp.0b013e31818cd3a4
- 223.
Thal LJ Ferris SH Kirby L Block GA Lines CR Yuen E. A randomized, double-blind, study of rofecoxib in patients with mild cognitive impairment. Neuropsychopharmacology. (2005 ) 30:1204–15.
Not in our library10.1038/sj.npp.1300690
- 224.
Gómez-Isla T Blesa R Boada M Clarimón J Del Ser T Domenech G. A randomized, double-blind, placebo controlled-trial of triflusal in mild cognitive impairment: the TRIMCI study. Alzheimer Dis Assoc Disord. (2008 ) 22:21–9.
Not in our library10.1097/wad.0b013e3181611024
- 225.
Lyketsos CG Breitner JCS Green RC Martin BK Meinert C Piantadosi S Naproxen and celecoxib do not prevent AD in early results from a randomized controlled trial. Neurology. (2007 ) 68:1800–8.
Not in our library10.1212/01.wnl.0000260269.93245.d2
- 226.
Meyer P-F Tremblay-Mercier J Leoutsakos J Madjar C Lafaille-Maignan M-É Savard M. INTREPAD: a randomized trial of naproxen to slow progress of presymptomatic Alzheimer disease. Neurology. (2019 ) 92:e2070–80.
Not in our library10.1212/wnl.0000000000007232
- 227.
Alzheimer's Disease Anti-inflammatory Prevention Trial Research Group Results of a follow-up study to the randomized Alzheimer's Disease Anti-Inflammatory Prevention Trial (ADAPT). Alzheimers Dement. (2013 ) 9:714–23.
Not in our library10.1016/j.jalz.2012.11.012
- 228.
Martin BK Szekely C Brandt J Piantadosi S Breitner JCS Craft S. Cognitive function over time in the Alzheimer's Disease Anti-inflammatory Prevention Trial (ADAPT). Arch Neurol. (2008 ) 65:896–905.
Not in our library10.1001/archneur.2008.65.7.nct70006
- 229.
Szekely CA Thorne JE Zandi PP Ek M Messias E Breitner JCS. Nonsteroidal Anti-inflammatory drugs for the prevention of Alzheimer's disease: a systematic review. Neuroepidemiology. (2004 ) 23:159–69.
Not in our library10.1159/000078501
- 230.
in 't Veld BA Ruitenberg A Hofman A Launer LJ van Duijn CM Stijnen T Nonsteroidal antiinflammatory drugs and the risk of Alzheimer's Disease. N Engl J Med. (2001 ) 345:1515–21.
Not in our library10.1056/nejmoa010178
- 231.
Vlad SC Miller DR Kowall NW Felson DT. Protective effects of NSAIDs on the development of Alzheimer disease. Neurology. (2008 ) 70:1672–7.
Not in our library10.1212/01.wnl.0000311269.57716.63
- 232.
de Craen AJM. Meta-Analysis of nonsteroidal antiinflammatory drug use and risk of dementia. Am J Epidemiol. (2005 ) 161:114–20.
Not in our library10.1093/aje/kwi029
- 233.
Wichmann MA Cruickshanks KJ Carlsson CM Chappell R Fischer ME Klein BEK. NSAID use and incident cognitive impairment in a population-based cohort. Alzheimer Dis Assoc Disord. (2016 ) 30:105–12.
Not in our library10.1097/wad.0000000000000098
- 234.
Rogers MB Antibodies against microglial receptors TREM2 and CD33 head to trials | ALZFORUM. Alzforum (2019 ) Available at: https://www.alzforum.org/news/conference-coverage/antibodies-against-microglial-receptors-trem2-and-cd33-head-trials (accessed January 30, 2020).
Not in our library
- 235.
Steed PM Tansey MG Zalevsky J Zhukovsky EA Desjarlais JR Szymkowski DE. Inactivation of TNF signaling by rationally designed dominant-negative TNF variants. Science. (2003 ) 301:1895–8.
Not in our library10.1126/science.1081297
- 236.
Zalevsky J Secher T Ezhevsky SA Janot L Steed PM O'Brien C. Dominant-negative inhibitors of soluble TNF attenuate experimental arthritis without suppressing innate immunity to infection. J Immunol. (2007 ) 179:1872–83.
Not in our library10.4049/jimmunol.179.3.1872
- 237.
Yli-Karjanmaa M Larsen KS Fenger CD Kristensen LK Martin NA Jensen PT. TNF deficiency causes alterations in the spatial organization of neurogenic zones and alters the number of microglia and neurons in the cerebral cortex. Brain Behav Immun. (2019 ) 82:279–97.
Not in our library10.1016/j.bbi.2019.08.195
- 238.
MacPherson KP Sompol P Kannarkat GT Chang J Sniffen L Wildner ME. Peripheral administration of the soluble TNF inhibitor XPro1595 modifies brain immune cell profiles, decreases beta-amyloid plaque load, and rescues impaired long-term potentiation in 5xFAD mice. Neurobiol Dis. (2017 ) 102:81–95.
Not in our library10.1016/j.nbd.2017.02.010
- 239.
Cavanagh C Tse YC Nguyen HB Krantic S Breitner JC Quirion R. Inhibiting tumor necrosis factor-α before amyloidosis prevents synaptic deficits in an Alzheimer's disease model. Neurobiol Aging. (2016 ) 47:41–9.
Not in our library10.1016/j.neurobiolaging.2016.07.009
- 240.
McAlpine FE Lee JK Harms AS Ruhn KA Blurton-Jones M Hong J. Inhibition of soluble TNF signaling in a mouse model of Alzheimer's disease prevents pre-plaque amyloid-associated neuropathology. Neurobiol Dis. (2009 ) 34:163–77.
Not in our library10.1016/j.nbd.2009.01.006
- 241.
Sama DM Mohmmad Abdul H Furman JL Artiushin IA Szymkowski DE Scheff SW. Inhibition of soluble tumor necrosis factor ameliorates synaptic alterations and Ca2+ dysregulation in aged rats. PLoS ONE. (2012 ) 7:e38170.
Not in our library10.1371/journal.pone.0038170
- 242.
Li HQ Chen C Dou Y Wu HJ Liu YJ Lou HF. P2Y4 receptor-mediated pinocytosis contributes to amyloid beta-induced self-uptake by microglia. Mol Cell Biol. (2013 ) 33:4282–93.
Not in our library10.1128/mcb.00544-13
- 243.
Miller RG Block G Katz JS Barohn RJ Gopalakrishnan V Cudkowicz M. Randomized phase 2 trial of NP001-a novel immune regulator: Safetyearly efficacy in ALS. Neurol Neuroimmunol Neuroinflamm. (2015 ) 2:e100.
Not in our library10.1212/nxi.0000000000000100
- 244.
Etminan M. Effect of non-steroidal anti-inflammatory drugs on risk of Alzheimer's disease: systematic review and meta-analysis of observational studies. BMJ. (2003 ) 327:128.
Not in our library10.1136/bmj.327.7407.128
- 245.
O'Bryant SE. A serum protein–based algorithm for the detection of Alzheimer Disease. Arch Neurol. (2010 ) 67:1077–81.
Not in our library10.1001/archneurol.2010.215
- 246.
- 247.
O'Bryant SE Xiao G Zhang F Edwards M German DC Yin X. Validation of a serum screen for Alzheimer's disease across assay platforms, species, and tissues. J Alzheimer's Dis. (2014 ) 42:1325–35.
Not in our library10.3233/jad-141041
- 248.
O'Bryant SE Zhang F Johnson LA Hall J Edwards M Grammas P. A precision medicine model for targeted NSAID therapy in Alzheimer's Disease. J Alzheimer's Dis. (2018 ) 66:97–104.
Not in our library10.3233/jad-180619
- 249.
Walsh DM1 Klyubin I Fadeeva JV Cullen WK Anwyl R Wolfe MS. Naturally secreted oligomers of amyloid beta protein potently inhibit hippocampal long-term potentiation in vivo. Nature. (2002 ) 416:535–9.
Not in our library10.1038/416535a
- 250.
Lue LF Kuo YM Roher AE Brachova L Shen Y Sue L. Soluble amyloid beta peptide concentration as a predictor of synaptic change in Alzheimer's disease. Am J Pathol. (1999 ) 155:853–62.
Not in our library10.1016/s0002-9440(10)65184-x
- 251.
McLean CA Cherny RA Fraser FW Fuller SJ Smith MJ Beyreuther K. Soluble pool of Abeta amyloid as a determinant of severity of neurodegeneration in Alzheimer's disease. Ann Neurol. (1999 ) 46:860–6.
Not in our library10.1002/1531-8249(199912)46:6<860::aid-ana8>3.0.co;2-m
- 252.
Shankar GM Li S Mehta TH Garcia-Munoz A Shepardson NE Smith I. Amyloid-beta protein dimers isolated directly from Alzheimer's brains impair synaptic plasticity and memory. Nat Med. (2008 ) 14:837–42.
Not in our library10.1038/nm1782
- 253.
O'Nuallain B Freir DB Nicoll AJ Risse E Ferguson N Herron CE. Amyloid beta-protein dimers rapidly form stable synaptotoxic protofibrils. J Neurosci. (2010 ) 30:14411–9.
Not in our library10.1523/jneurosci.3537-10.2010
- 254.
Gouwens LK Makoni NJ Rogers VA Nichols MR. Amyloid-β42 protofibrils are internalized by microglia more extensively than monomers. Brain Res. (2016 ) 1648:485–95.
Not in our library10.1016/j.brainres.2016.08.016
- 255.
Paranjape GS Gouwens LK Osborn DC Nichols MR Isolated Amyloid-β(1–42) Protofibrils, but not isolated fibrils, are robust stimulators of microglia. ACS Chem Neurosci. (2012 ) 3:302–11.
Not in our library10.1021/cn2001238
- 256.
Söllvander S Nikitidou E Gallasch L Zyśk M Söderberg L Sehlin D. The Aβ protofibril selective antibody mAb158 prevents accumulation of Aβ in astrocytes and rescues neurons from Aβ-induced cell death. J Neuroinflammation. (2018 ) 15:98.
Not in our library10.1186/s12974-018-1134-4
- 257.
Englund H Sehlin D Johansson AS Nilsson LN Gellerfors P Paulie S. Sensitive ELISA detection of amyloid-beta protofibrils in biological samples. J Neurochem. (2007 ) 103:334–45.
Not in our library10.1111/j.1471-4159.2007.04759.x
- 258.
Nielsen HM Mulder SD Beliën JAM Musters RJP Eikelenboom P Veerhuis R. Astrocytic A beta 1-42 uptake is determined by A beta-aggregation state and the presence of amyloid-associated proteins. Glia. (2010 ) 58:1235–46.
Not in our library10.1002/glia.21004
- 259.
- 260.
Fagan T Strobel G BAN2401 Removes Brain Amyloid, Possibly Slows Cognitive Decline. AlzForum. (2016 ). Available online at: https://www.alzforum.org/news/conference-coverage/ban2401-removes-brain-amyloid-possibly-slows-cognitive-decline (accessed March 1, 2020).
Not in our library
- 261.
ClinicalBiomarker Updates from BAN2401 Study 201 in Early AD Presented at the 11thClinical Trials on Alzheimer's Disease (CTAD) Conference October 24–27. (2018 ). Available online at: https://www.eisai.com/ir/library/presentations/pdf/e4523_181025.pdf
Not in our library
- 262.
Powers SK Talbert EE Adhihetty PJ. Reactive oxygen and nitrogen species as intracellular signals in skeletal muscle. J Physiol. (2011 ) 589:2129–38.
Not in our library10.1113/jphysiol.2010.201327
- 263.
Suzuki K Cytokine response to exercise and its modulation. Antioxidants. (2018 ) 7:17
Not in our library10.3390/antiox7010017
- 264.
Geffken DF Cushman M Burke GL Polak JF Sakkinen PA Tracy RP. Association between physical activity and markers of inflammation in a healthy elderly population. Am J Epidemiol. (2001 ) 153:242–50.
Not in our library10.1093/aje/153.3.242
- 265.
Wannamethee SG. physical activity and hemostatic and inflammatory variables in elderly men. Circulation. (2002 ) 105:1785–90.
Not in our library10.1161/hc1502.107117
- 266.
Monteiro-Junior RS de Tarso Maciel-Pinheiro P da Matta Mello Portugal E da Silva Figueiredo LF Terra R Carneiro LSF. Effect of exercise on inflammatory profile of older persons: systematic review and meta-analyses. J Phys Act Heal. (2018 ) 15:64–71.
Not in our library10.1123/jpah.2016-0735
- 267.
Sobol NA Hoffmann K Frederiksen KS Vogel A Vestergaard K Brændgaard H. Effect of aerobic exercise on physical performance in patients with Alzheimer's disease. Alzheimer's Dement. (2016 ) 12:1207–15.
Not in our library10.1016/j.jalz.2016.05.004
- 268.
Nascimento CMC Cominetti MR Pereira JR Andrade LP Garuffi M Kerr DS Regular multimodal aerobic exercise reduces pro-inflammatory cytokines and improves BDNF peripheral levels and executive functions in elderly MCI individuals with different BDNF Val66Met genotypes. Alzheimer's Dement. (2015 ) 11:P323
Not in our library10.1016/j.jalz.2015.07.465
- 269.
Lu Y Dong Y Tucker D Wang R Ahmed ME Brann D. Treadmill exercise exerts neuroprotection and regulates microglial polarization and oxidative stress in a streptozotocin-induced rat model of sporadic Alzheimer's disease. J Alzheimer's Dis. (2017 ) 56:1469–84.
Not in our library10.3233/jad-160869
- 270.
- 271.
Jiang T Zhang L Pan X Zheng H Chen X Li L. Physical exercise improves cognitive function together with microglia phenotype modulation and remyelination in chronic cerebral hypoperfusion. Front Cell Neurosci. (2017 ) 11:404.
Not in our library10.3389/fncel.2017.00404
- 272.
- 273.
- 274.
Fiuza-Luces C Garatachea N Berger NA Lucia A. Exercise is the real polypill. Physiology. (2013 ) 28:330–58.
Not in our library10.1152/physiol.00019.2013
- 275.
Gleeson M Bishop NC Stensel DJ Lindley MR Mastana SS Nimmo MA. The anti-inflammatory effects of exercise: mechanisms and implications for the prevention and treatment of disease. Nat Rev Immunol. (2011 ) 11:607–15.
Not in our library10.1038/nri3041
- 276.
Woods JA Wilund KR Martin SA Kistler BM. Exercise, inflammation and aging. Aging Dis. (2012 ) 3:130–40.
Not in our library
- 277.
Tracey KJ. Reflex control of immunity. Nat Rev Immunol. (2009 ) 9:418–28.
Not in our library10.1038/nri2566
- 278.
Collins FS Varmus H. A new initiative on precision medicine. N Engl J Med. (2015 ) 372:793–5.
Not in our library10.1056/nejmp1500523
- 279.
Hampel H Vergallo A Perry G Lista S The Alzheimer precision medicine initiative (APMI). J Alzheimer's Dis. (2019 ) 68:1–25.
Not in our library10.3233/jad-181121
- 280.
Ye CJ Feng T Kwon H-K Raj T Wilson MT Asinovski N. Intersection of population variation and autoimmunity genetics in human T cell activation. Science. (2014 ) 345:1254665.
Not in our library10.1126/science.1254665
- 281.
Duffy D Rouilly V Libri V Hasan M Beitz B David M. Functional analysis via standardized whole-blood stimulation systems defines the boundaries of a healthy immune response to complex stimuli. Immunity. (2014 ) 40:436–50.
Not in our library10.1016/j.immuni.2014.03.002
- 282.
Willis JCD Lord GM. Immune biomarkers: the promises and pitfalls of personalized medicine. Nat Rev Immunol. (2015 ) 15:323–9.
Not in our library10.1038/nri3820
- 283.
Schork NJ. Personalized medicine: time for one-person trials. Nature. (2015 ) 520:609–11.
Not in our library10.1038/520609a
- 284.
Delhalle S Bode SFN Balling R Ollert M He FQ A roadmap toward personalized immunology. NPJ Syst Biol Appl. (2018 ) 4:9
Not in our library10.1038/s41540-017-0045-9
- 285.
Hampel H Toschi N Babiloni C Baldacci F Black KL Bokde ALW. Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology. J Alzheimer's Dis. (2018 ) 64:S47–105.
Not in our library10.3233/jad-179932
- 286.
Castrillo JI Lista S Hampel H Ritchie CW. Systems biology methods for alzheimer's disease research toward molecular signatures, subtypes, and stages and precision medicine: application in cohort studies and trials. In: Perneczky R, editor. Methods in Molecular Biology. New York, NY: Humana Press Inc (2016 ). p. 31–66.
Not in our library10.1007/978-1-4939-7704-8_3
- 287.
- 288.
Dimitrakopoulos L Prassas I Diamandis EP Charames GS. Onco-proteogenomics: Multi-omics level data integration for accurate phenotype prediction. Crit Rev Clin Lab Sci. (2017 ) 54:414–32.
Not in our library10.1080/10408363.2017.1384446
- 289.
Ang MY Low TY Lee PY Wan Mohamad Nazarie WF Guryev V Jamal R. Proteogenomics: from next-generation sequencing (NGS) and mass spectrometry-based proteomics to precision medicine. Clin Chim Acta. (2019 ) 498:38–46.
Not in our library10.1016/j.cca.2019.08.010
- 290.
Lista S Khachaturian ZS Rujescu D Garaci F Dubois B Hampel H. Application of systems theory in longitudinal studies on the origin and progression of Alzheimer's Disease. In: Castrillo JI, Oliver SG, editors. Methods in Molecular Biology. New York, NY: Humana Press (2016 ). p. 49–67.
Not in our library10.1007/978-1-4939-2627-5_2
- 291.
Hampel H O'Bryant SE Castrillo JI Ritchie C Rojkova K Broich K. PRECISION MEDICINE - the golden gate for detection, treatment and prevention of Alzheimer's Disease. J Prev Alzheimer's Dis. (2016 ) 3:243–59.
Not in our library10.14283/jpad.2016.112
- 292.
Hampel H Vergallo A Aguilar LF Benda N Broich K Cuello AC. Precision pharmacology for Alzheimer's disease. Pharmacol Res. (2018 ). 130:331–65.
Not in our library10.1016/j.phrs.2018.02.014
- 293.
Hood L Flores M. A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. N Biotechnol. (2012 ) 29:613–24.
Not in our library10.1016/j.nbt.2012.03.004
- 294.
Kim SH Noh MY Kim H-J Oh K-W Park J Lee S. A Therapeutic Strategy for Alzheimer's Disease Focused on Immune-inflammatory Modulation. Dement Neurocognitive Disord. (2019 ) 18:33.
Not in our library10.12779/dnd.2019.18.2.33
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