Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 19, 2026.

Immune Senescence, Immunosenescence and Aging

Kyoo-A Lee, Rafael R. Flores, In Hwa Jang and 2 more

Frontiers in Aging · 2022 · Review · CC BY

doi:10.3389/fragi.2022.900028

Abstract

With aging, there is increased dysfunction of both innate and adaptive immune responses, which contributes to impaired immune responses to pathogens and greater mortality and morbidity. This age-related immune dysfunction is defined in general as immunosenescence and includes an increase in the number of memory T cells, loss of ability to respond to antigen and a lingering level of low-grade inflammation. However, certain features of immunosenescence are similar to cellular senescence, which is defined as the irreversible loss of proliferation in response to damage and stress. Importantly, senescence cells can develop an inflammatory senescence-associated secretory phenotype (SASP), that also drives non-autonomous cellular senescence and immune dysfunction. Interestingly, viral infection can increase the extent of immune senescence both directly and indirectly, leading to increased immune dysfunction and inflammation, especially in the elderly. This review focuses on age-related immune dysfunction, cellular senescence and the impaired immune response to pathogens.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 19, 2026. Paragraph numbers are ours, so an answer can point at one.

Immunosenescence

Aging causes the gradual decline of immune system function, which results in an increase in the incidence of diseases such as cancer and infections. In general, this age-related immune dysfunction is defined as immunosenescence, characterized by changes in various aspects of different immune components such as thymic involution and loss of diversity of adaptive immunity. Features of immunosenescence include an increase in the number of memory T cells, loss of ability to respond to antigen and a lingering level of low-grade inflammation termed “inflamm-aging.” Also, there are phenotypic changes in multiple immune cell types that serve to define immunosenescence. Importantly, latent and chronic viral infection [e.g., human cytomegalovirus (HCMV), Epstein-Barr virus (EBV)] also affect the immune system and contribute to immunosenescence with age.

Cellular Senescence

With age, there also is an increase in the number of senescent cells (SnCs). Cellular senescence, a cell fate, is found to increase in most tissues including lymphoid tissues in multiple cell types. Cellular senescence is defined as the irreversible exit from the cell cycle in response to various types of stress such as uncontrolled DNA replication and genotoxic, oxidative and inflammatory stress. SnCs are characterized by evidence of telomere associate foci (TAFs), senescence-associated distension of satellites (SADS), senescence-associated heterochromatin foci (SAHF), senescence-associated ß-galactosidase (SA-ß-gal) and upregulation of at least 1 cell cycle dependent kinase inhibitor (e.g., p16INK4a, p21Cip1). In addition, many SnCs develop a pro-inflammatory senescence-associate secretory phenotype (SASP) that includes secretion of various cytokines and chemokines that recruit or modulate immune cell function. Secretion of metalloproteinases, miRNAs, ROS, metabolites and even extracellular vesicles also can be part of the SASP. SnCs accumulate in aged tissues where they are responsible for local and systemic inflammation via the SASP, which leads to stem cell dysfunction and age-associated tissue degeneration.

Senescence is thought to act as a robust tumor suppressor mechanism, with the SASP acting as a chemoattractant to stimulate immune cell-mediated clearance of SnCs. However, with advancing age and in many chronic diseases such as obesity and metabolic syndromes, SnCs accumulate in most tissues, presumably due to inefficient SnC removal by the immune system and increased resistance to cell death. This accumulation drives chronic sterile inflammation via SASP, which in turn drives loss of resilience and predisposition to many diseases. In this context, senescence can even drive cancer. SnCs also can interfere with the immune system and the ability of immune cells to remove them. For example, certain SASP factors alter immune cell migration and matrix metalloproteinases cleave immune regulators on the cell surface.

SnCs also play a causal role in aging and age-related diseases in pre-clinical models. For example, transplanting SnCs into young mice causes an accelerated aging-like state, while genetic or pharmacologic selective killing of SnCs attenuates disease, improves physical function, and delays all-cause mortality in older mice. Interestingly, although many of the SASP factors are expressed by SnCs at steady state level, the level of SASP expression substantially increases in response to innate immune cues, such as exposure to pathogen- and damage-associated molecular patterns (PAMPs and DAMPs). While at first glance this may appear beneficial for reactivity to pathogens, excessive generation of SASP factors can contribute to hyperinflammation or the “cytokine storm” associated with pathogenic responses to immune stimuli. Importantly, viral infection itself is able to induce senescence, termed virus-induced senescence (VIS). VIS is universal stress response in host cells infected by a large variety of different virus species, including single- and double-stranded DNA and RNA viruses. The programmed VIS response is morphologically and transcriptionally indistinguishable from other types of senescence including oncogene-induced senescence (OIS).

Although cellular senescence was originally defined in fibroblasts and other cell types in solid organs, there is increasing evidence that immune cells also can show signs of senescence. However, senescence in immune cells has not fully characterized or defined due to the diversity of function and phenotypes of each immune cell type as they differentiate. In this review, we discuss senescence, immunosenescence and immune dysfunction with age and disease, in particular, bacterial and viral infection (Figure 1).

Innate Immunity

Innate immunity is mediated by phagocytic cells, including macrophages. dendritic cells (DC), and granulocytes as well as innate or innate-like lymphocytes such as natural killer (NK) cells, γδ T cells. These cell types provide an immediate, non-antigen specific response to viral, bacterial and fungal pathogens. In addition, the type I IFN (IFNα and IFNβ) response, mediated by recognition of PAMPs through pattern recognition receptors (PRR) such as RIG-1/MDA-5, is a first line of defense against pathogens by inhibiting viral replication and spread at the early stage of infection. The extent of type I IFN response determines the susceptibility to viral infections. For example, COVID-19 patients with higher levels of type I IFN neutralizing auto-antibodies are at a higher risk for life-threatening pneumonia.

There is a both a reduction and delay in type I IFN production with age due to impaired signaling of the receptors and reduced number of circulating plasmacytoid dendritic cells (pDCs), a source of type I IFNs. Given that type I IFNs also recruit and activate immune cells like macrophages and NK cells, this reduction in type I IFNs affects the aged innate immune response at multiple levels.

Dendritic cells (DCs) process antigens and initiate adaptive immunity in draining lymph nodes (DLNs). In murine respiratory virus infection models, lung DCs in aged mice show defect in migration to DLNs leading to lower T cell responses. In severe pulmonary virus infection such as influenza A virus (IAV) and SARS-CoV-2, excessive neutrophil infiltration is observed in lung, which induces tissue damage. This could be caused by reduced type I IFN that suppresses neutrophil recruitment. In addition, aged alveolar macrophages show decreased ability to phagocytose neutrophils, resulting in increased retention of neutrophils and tissue damage during influenza infection.

There is also an age-dependent increase in the number of myeloid-derived suppressor cells (MDSCs) that are able to inhibit T cell function and thus contribute to the pathogenesis of various diseases including cancer and infectious diseases. In mouse aging, there is an increase in the percent of Gr-1+ CD11b+ MDSCs in bone marrow with an enhanced NF-κB activation, likely resulting in the cells being more inflammatory. Given that a reduction in NF-κB activity reduces the percent of MDSCs, it is possible the activation of NF-κB with aging and senescence-like cell status drives this increase in the percentage of MDSCs.

Adaptive Immunity

The adaptive immune response is mediated predominantly by T cells and B cells, which play critical roles in the clearance of pathogens as well as in the response to vaccination. The adaptive immune response wanes with age, even in rodent models not exposed to pathogens. The reduced B cell response with aging results in reduced quality and quantity of the antibody response to infections. Aged B cells produce less antibodies and with skewing towards antibodies with lower affinity, leading to suboptimal protection against new infections and reduced efficacy to vaccine. There is also a reduction in the number of naïve B cells and an increase in memory B cells with age. For adequate antibody generation, help from follicular helper T (Tfh) cells is required. With age, the systemic increase of IL-10 from Tfh cells limits the response to vaccination and antibody production. IL-6 and IL-21 are required for maintenance of IL-10 producing Tfh cells, suggesting that SASP factors such as IL-6 produced by senescent cells that accumulate with age might be involved in modulation of Tfh cells.

CD8+ cytotoxic T cells are important for the facilitating clearance of pathogens by the selective killing of infected cells. However, there is a reduction in the number and repertoire of CD8+ cells with aging. In addition, there is a narrowing of the repertoire of influenza specific conventional αβ CD8+ T cells with large random clonal expansion and reduced use of the public clonotypes. In addition, elderly COVID-19 patients (>80 years of age) show diminished T cells with cytotoxic profiles.

Tissue resident memory T (Trm) cells, a type of memory cell that resides in tissues permanently, are important for control infections and likely cancer. Even in unexposed subjects, SARS-CoV-2 reactive CD8 Trm cells have been identified in tissues that are poised to respond to pathogens. However, with aging, these Trms are less effective in clearing infection and, even following clearance of pathogen, drive persistent inflammation and fibrosis.

Cellular Senescence in Immune Cells

As discussed below, there is evidence of senescence in different types of immune cells. Interestingly, the aged immune system not only has altered development and reduced function, but also can induce senescence of peripheral tissues and tissue damage through a non-autonomous mechanism. For example, a recent study demonstrated that deletion of Ercc1, part of the endonuclease Ercc1-XPF important in multiple types of DNA repair, specifically in hematopoietic cells resulted in the accumulation of spontaneous DNA damage in immune cells and increased expression of markers of senescence and SASP in a variety of immune cell types including CD4+ and CD8+ T, B and NK cells and in monocyte/macrophages, similar to that observed in two-year-old naturally aged mice. These mice with aged, senescent immune cells showed several features of aging such as shortened lifespan and multi-organ tissue degeneration. The mice also had an increase in the level of senescence in non-immune organs including liver, kidney, intervertebral discs and muscle. In addition, the adoptive transfer of splenocytes from aged WT mice into young mice also drove the induction of senescence and SASP makers in different tissues as well as shortened lifespan. These results suggest that DNA damage can increase the percent of senescent immune cells with age, which then can drive secondary senescence through secretion of SASP factors. However, the specific subset(s) of immune cells that drive systemic senescence in lymphoid and non-lymphoid tissues and aging still need to be determined. In contrast, the adoptive transfer of young immune cells into a mouse model of accelerated senescence and aging resulted in a reduction in the senescent cell burden in multiple tissues, suggesting that young immune cells can clear SnCs that arise with aging and disease.

Senescence in T Cells

With human aging, there is accumulation of CD28− T cells, especially in the CD8+ T cell population. Highly differentiated CD27− CD28− CD8+ T cells displays senescent-like features such as reduced proliferation rate, shorter telomere and increased level of p38 and γH2AX. CD45RA+CD27−CD4+ T cells were suggested to be senescent-like T cells with constitutive p38 expression and reduced telomerase activity and proliferation. These senescent-like T cells express NK cell receptors with reduced activating capacity through T cell receptors (TCR). Since these cells express high levels of cytotoxic molecules, they might be responsible for the massive tissue damage via NK cell receptors (NKR) rather than specific killing through TCR.

Recently, an effort to find the “true” senescent immune cells upon human aging with SA-β-gal staining identified aged circulating T cells, in particular, CD8+ T cells, as having a senescence gene expression signature as well as reduced proliferative capacity. However, the high SA-β-gal CD8+ T cells show a unique T-cell fate, distinct from the cells defined previously as senescent T cells. Also, the p16INK4a expression in CD8+ T cells was shown to correlate with biological age and disease.

With murine aging, there are limited numbers of studies regarding senescent T cells with age. CD8+ virtual memory (Tvm) cells that accumulate with age exhibit senescence profiles and reduced proliferation. In particular, aged Tvm cells express high Cdkn1a and γ-H2AX with a defect in proliferation in response to TCR stimulation. It has been proposed that CD4+ senescent-like T cell can be characterized by PD1 and CD153 expression that accumulate in spleen with age and adipose tissues in obese model. This cell population express various senescence gene signature including expression of osteopontin that results in inflammation.

Interestingly, the retrotransposon LINE-1, is expressed at higher levels in dysfunctional T cells. Reduction in the number of LINE1-containing transcripts restores the effect function of T cells. Although LINE-1 is known to be upregulated in senescence cells, leading to a type 1 IFN response, it has been suggested that the level of LINE-1 expression is important for modulating T cell quiescence, effector function and exhaustion.

Senescence in B Cells

A senescence signature including increased SASP also has been demonstrated in B cells from adipose tissue as compared to B cells in the blood. Also, in the periphery, memory B cells were shown preferentially to express SASP markers. Similarly, in a mouse model of accelerated immune age and in naturally aged, splenic B cells had increased p16 INK4a and p21 Cip1 expression, but with a limited SASP as compared to other immune subtypes. In mice, there is an expansion of a subset of B cells that accumulate with age referred to as age-associated B cells (ABC). These cells have been phenotypic defined as B220loCD19+ but negative for CD21 and CD23, which are markers of mature B cells. They have also been shown to express CD11c and T-bet. T-bet drives these B cells towards a pro-inflammatory phenotype. ABC produce more IFNγ and TNF-α and drive the differentiation of CD4+ T cells to Th17 cells. ABC have been shown to suppress the development of B cells in the bone marrow which was linked to TNF-α secreted by resident ABC. These results suggest that the senescence-like phenotype in B cells and likely other immune cell types depends on their environment and/or function.

Senescence in Myeloid Cells

Macrophages and neutrophils are phagocytes that remove pathogens from the body. With age, their protective phagocytic functions decline, leading to disruption of tissue homeostasis. For instance, macrophages and neutrophils in the aged bone marrow that produce grancalcin have been shown to display inflammatory and senescence gene expression patterns. Grancalcin released from these senescent cells induces premature bone aging by reducing osteogenesis and increasing adipogenesis. The types of these grancalcin-expression cells include macrophages and neutrophils Aged macrophages also show M1-like phenotypes with pro-inflammatory gene expression, leading to delayed fracture healing. Senescence-related molecules might be involved in age-associated changes of macrophages because p16INK4a deficiency drive macrophages to M2. However, it also should be noted that expression of p16INK4 reduced LPS-induced IL-6 expression by inhibiting AP-1 pathway in macrophages but not fibroblasts. In addition, SA-β-gal + mast cells that increase with age produce CXCL1, causing aberrant neutrophil trafficking to remote organ such as lungs rather than local injured tissues. These neutrophils cause lung damage.

Non-classical monocytes also accumulate with age. They show senescence features including shorten telomere length, reduced proliferation and SASP factor secretion. In severe COVID-19 patients, non-classical monocytes as well as inflammatory transitional monocytes are recruited to lungs. The observation implies that senescent inflammatory monocytes that accumulate with age might explain the mechanism of high mortality in elderly COVID-19 patients.

Cellular Senescence of the Immune System in COVID-19

The COVID-19 pandemic revealed that age is the most important risk factor contributing to the severity and mortality of the infection. Epidemiological surveys tracking characteristics linked to the severity and mortality of COVID-19 are similar to those associated with aged immune system. For example, PD-1+ exhausted T cells are dramatically increased in aging. In COVID-19 patients, increases in PD-1+ memory T cell frequency were observed both in patients with mild and severe symptoms, relative to healthy volunteers, with the more severe cases having a higher percentage. An increase of PD-1+CD44+ memory T cells was observed in mice with Ercc1-deleted immune cells, implying that the senescence status caused by DNA damage accumulation might affect T cell exhaustion. SARS-CoV-2 infection also induces an increase frequency of T cells expressing markers of senescence, CD57. In addition, cytotoxic T cell activity is compromised in severe COVID-19 patients.

Severe SARS-Cov-2 patients also have been shown to suffer from hyper-inflammation driven largely by the increase in cytokines produced by immune cells, which has been term cytokine storm. An increase of MCP-1, a SASP factor, is associated with mortality in COVID-19 infection and the genetic or pharmacological clearance of senescent cells from aged mice improved the survival against ß-coronavirus infection. Also, there appears to be increase in SnCs that is maintained following clearance of the ß-coronavirus, suggesting that SnCs could contribute to long-hauler syndrome.

Conclusions and Perspectives

It is clear that immune function is impaired with aging, a phenomenon termed as immunosenescence, leading to more severe infection with pathogen and increased mortality. There is also evidence of increase senescence in multiple types of immune cells with age as well as following pathogen exposure. In fact, it is likely that immune senescence as well as the overall senescent cell burden are key pathogenic components following exposure to viral and bacterial microbes including SARS-CoV-2. Several recent studies demonstrated that reducing the senescent cell burden and the inflammatory SASP by treatment with senolytic compounds improves the immune response and reduces mortality. These observations have led to several clinical trials to test senolytic compounds in COVID-19 patients. It is also possible that reducing the senescent cell burden can improve the immune responses to vaccines.

Interestingly, exposure to pathogens can increase the extent of senescence through both direct and indirect mechanisms, especially in the elderly, driving further immune dysfunction, senescence and non-specific inflammation. This increase in inflammation driven by the SASP then contributes to increased mortality and morbidity. Although this is likely also true in younger individuals, the more functional, younger immune system can clear senescent cells, thus maintaining a low senescent cell burden and thus low inflammation. Importantly, these observations suggest that developing approaches to limit senescence in the adaptive and innate immune cells would not only improve the immune response, but also slow aging.

References 63

  1. 1.
  2. 2.

    Acharya D. Liu G. Gack M. U. (2020 ). Dysregulation of Type I Interferon Responses in COVID-19. Nat. Rev. Immunol. 20 (7), 397–398.

    Not in our library10.1038/s41577-020-0346-x

  3. 3.

    Almanan M. Raynor J. Ogunsulire I. Malyshkina A. Mukherjee S. Hummel S. A. (2020 ). IL-10-producing Tfh Cells Accumulate with Age and Link Inflammation with Age-Related Immune Suppression. Sci. Adv. 6 (31), eabb0806.

    Not in our library10.1126/sciadv.abb0806

  4. 4.

    Baker D. J. Childs B. G. Durik M. Wijers M. E. Sieben C. J. Zhong J. (2016 ). Naturally Occurring p16(Ink4a)-Positive Cells Shorten Healthy Lifespan. Nature 530 (7589), 184–189.

    Not in our library10.1038/nature16932

  5. 5.

    Baker D. J. Wijshake T. Tchkonia T. LeBrasseur N. K. Childs B. G. van de Sluis B. (2011 ). Clearance of p16Ink4a-Positive Senescent Cells Delays Ageing-Associated Disorders. Nature 479 (7372), 232–236.

    Not in our library10.1038/nature10600

  6. 6.
  7. 7.

    Bastard P. Rosen L. B. Zhang Q. Michailidis E. Hoffmann H. H. Zhang Y. (2020 ). Autoantibodies against Type I IFNs in Patients with Life-Threatening COVID-19. Science 370 (6515), eabd4585.

    Not in our library10.1126/science.abd4585

  8. 8.

    Borgoni S. Kudryashova K. S. Burka K. de Magalhães J. P. (2021 ). Targeting Immune Dysfunction in Aging. Ageing Res. Rev. 70, 101410.

    Not in our library10.1016/j.arr.2021.101410

  9. 9.

    Braig M. Lee S. Loddenkemper C. Rudolph C. Peters A. H. F. M. Schlegelberger B. (2005 ). Oncogene-induced Senescence as an Initial Barrier in Lymphoma Development. Nature 436 (7051), 660–665.

    Not in our library10.1038/nature03841

  10. 10.
  11. 11.

    Cancro M. P. (2020 ). Age-Associated B Cells. Annu. Rev. Immunol. 38, 315–340.

    Not in our library10.1146/annurev-immunol-092419-031130

  12. 12.

    Chuprin A. Gal H. Biron-Shental T. Biran A. Amiel A. Rozenblatt S. (2013 ). Cell Fusion Induced by ERVWE1 or Measles Virus Causes Cellular Senescence. Genes Dev. 27 (21), 2356–2366.

    Not in our library10.1101/gad.227512.113

  13. 13.
  14. 14.

    Coppé J.-P. Desprez P.-Y. Krtolica A. Campisi J. (2010 ). The Senescence-Associated Secretory Phenotype: the Dark Side of Tumor Suppression. Annu. Rev. Pathol. Mech. Dis. 5, 99–118.

    Not in our library10.1146/annurev-pathol-121808-102144

  15. 15.

    Cudejko C. Wouters K. Fuentes L. Hannou S. A. Paquet C. Bantubungi K. (2011 ). p16INK4a Deficiency Promotes IL-4-induced Polarization and Inhibits Proinflammatory Signaling in Macrophages. Blood 118 (9), 2556–2566.

    Not in our library10.1182/blood-2010-10-313106

  16. 16.
  17. 17.
  18. 18.

    Eggert T. Wolter K. Ji J. Ma C. Yevsa T. Klotz S. (2016 ). Distinct Functions of Senescence-Associated Immune Responses in Liver Tumor Surveillance and Tumor Progression. Cancer Cell 30 (4), 533–547.

    Not in our library10.1016/j.ccell.2016.09.003

  19. 19.

    Feng E. Balint E. Poznanski S. M. Ashkar A. A. Loeb M. (2021 ). Aging and Interferons: Impacts on Inflammation and Viral Disease Outcomes. Cells 10 (3), 708.

    Not in our library10.3390/cells10030708

  20. 20.

    Flores R. R. Clauson C. L. Cho J. Lee B.-C. McGowan S. J. Baker D. J. (2017 ). Expansion of Myeloid-Derived Suppressor Cells with Aging in the Bone Marrow of Mice through a NF-κB-dependent Mechanism. Aging Cell 16 (3), 480–487.

    Not in our library10.1111/acel.12571

  21. 21.

    Frasca D. Romero M. Diaz A. Garcia D. Thaller S. Blomberg B. B. (2021 ). B Cells with a Senescent-Associated Secretory Phenotype Accumulate in the Adipose Tissue of Individuals with Obesity. Ijms 22 (4), 1839.

    Not in our library10.3390/ijms22041839

  22. 22.

    Gil A. Yassai M. B. Naumov Y. N. Selin L. K. (2015 ). Narrowing of Human Influenza A Virus-Specific T Cell Receptor α and β Repertoires with Increasing Age. J. Virol. 89 (8), 4102–4116.

    Not in our library10.1128/jvi.03020-14

  23. 23.

    Goplen N. P. Wu Y. Son Y. M. Li C. Wang Z. Cheon I. S. (2020 ). Tissue-resident CD8 + T Cells Drive Age-Associated Chronic Lung Sequelae after Viral Pneumonia. Sci. Immunol. 5 (53), eabc4557.

    Not in our library10.1126/sciimmunol.abc4557

  24. 24.

    Henson S. M. Lanna A. Riddell N. E. Franzese O. Macaulay R. Griffiths S. J. (2014 ). p38 Signaling Inhibits mTORC1-independent Autophagy in Senescent Human CD8+ T Cells. J. Clin. Invest. 124 (9), 4004–4016.

    Not in our library10.1172/jci75051

  25. 25.

    Hu B. Huang S. Yin L. (2021 ). The Cytokine Storm and COVID-19. J. Med. Virol. 93 (1), 250–256.

    Not in our library10.1002/jmv.26232

  26. 26.

    Kayagaki N. Kawasaki A. Ebata T. Ohmoto H. Ikeda S. Inoue S. (1995 ). Metalloproteinase-mediated Release of Human Fas Ligand. J. Exp. Med. 182 (6), 1777–1783.

    Not in our library10.1084/jem.182.6.1777

  27. 27.

    Kohli J. Veenstra I. Demaria M. (2021 ). The Struggle of a Good Friend Getting Old: Cellular Senescence in Viral Responses and Therapy. EMBO Rep. 22 (4), e52243.

    Not in our library10.15252/embr.202052243

  28. 28.
  29. 29.

    Lee S. Yu Y. Trimpert J. Benthani F. Mairhofer M. Richter-Pechanska P. (2021 ). Virus-induced Senescence Is a Driver and Therapeutic Target in COVID-19. Nature 599, 283–289.

    Not in our library10.1038/s41586-021-03995-1

  30. 30.

    Li C.-J. Xiao Y. Sun Y.-C. He W.-Z. Liu L. Huang M. (2021 ). Senescent Immune Cells Release Grancalcin to Promote Skeletal Aging. Cell Metab. 33 (10), 1957–1973.

    Not in our library10.1016/j.cmet.2021.08.009

  31. 31.

    Li J. Wang X. Diaz J. Tsang S. H. Buck C. B. You J. (2013 ). Merkel Cell Polyomavirus Large T Antigen Disrupts Host Genomic Integrity and Inhibits Cellular Proliferation. J. Virol. 87 (16), 9173–9188.

    Not in our library10.1128/jvi.01216-13

  32. 32.

    Mahmoodpoor A. Hosseini M. Soltani-Zangbar S. Sanaie S. Aghebati-Maleki L. Saghaleini S. H. (2021 ). Reduction and Exhausted Features of T Lymphocytes under Serological Changes, and Prognostic Factors in COVID-19 Progression. Mol. Immunol. 138, 121–127.

    Not in our library10.1016/j.molimm.2021.06.001

  33. 33.

    Marasca F. Sinha S. Vadalà R. Polimeni B. Ranzani V. Paraboschi E. M. (2022 ). LINE1 Are Spliced in Non-canonical Transcript Variants to Regulate T Cell Quiescence and Exhaustion. Nat. Genet. 54 (2), 180–193.

    Not in our library10.1038/s41588-021-00989-7

  34. 34.

    Martínez I. García-Carpizo V. Guijarro T. García-Gomez A. Navarro D. Aranda A. (2016 ). Induction of DNA Double-Strand Breaks and Cellular Senescence by Human Respiratory Syncytial Virus. Virulence 7 (4), 427–442.

    Not in our library10.1080/21505594.2016.1144001

  35. 35.
  36. 36.

    Molony R. D. Nguyen J. T. Kong Y. Montgomery R. R. Shaw A. C. Iwasaki A. (2017 ). Aging Impairs Both Primary and Secondary RIG-I Signaling for Interferon Induction in Human Monocytes. Sci. Signal. 10 (509), eaan2392.

    Not in our library10.1126/scisignal.aan2392

  37. 37.

    Murakami Y. Mizoguchi F. Saito T. Miyasaka N. Kohsaka H. (2012 ). p16INK4a Exerts an Anti-Inflammatory Effect through Accelerated IRAK1 Degradation in Macrophages. J. I. 189 (10), 5066–5072.

    Not in our library10.4049/jimmunol.1103156

  38. 38.

    Nguyen T. H. O. Sant S. Bird N. L. Grant E. J. Clemens E. B. Koutsakos M. (2018 ). Perturbed CD8 + T Cell Immunity across Universal Influenza Epitopes in the Elderly. J. Leukoc. Biol. 103 (2), 5MA0517–207R.

    Not in our library10.1189/jlb.5ma0517-207r

  39. 39.

    Niessl J. Sekine T. Lange J. Konya V. Forkel M. Maric J. (2021 ). Identification of Resident Memory CD8 + T Cells with Functional Specificity for SARS-CoV-2 in Unexposed Oropharyngeal Lymphoid Tissue. Sci. Immunol. 6 (64), eabk0894.

    Not in our library10.1126/sciimmunol.abk0894

  40. 40.
  41. 41.

    Pereira B. I. De Maeyer R. P. H. Covre L. P. Nehar-Belaid D. Lanna A. Ward S. (2020 ). Sestrins Induce Natural Killer Function in Senescent-like CD8+ T Cells. Nat. Immunol. 21 (6), 684–694.

    Not in our library10.1038/s41590-020-0643-3

  42. 42.

    Prata L. G. P. L. Ovsyannikova I. G. Tchkonia T. Kirkland J. L. (2018 ). Senescent Cell Clearance by the Immune System: Emerging Therapeutic Opportunities. Seminars Immunol. 40, 101275.

    Not in our library10.1016/j.smim.2019.04.003

  43. 43.

    Pustavoitau A. Barodka V. Sharpless N. E. Torrice C. Nyhan D. Berkowitz D. E. (2016 ). Role of Senescence Marker p16INK4a Measured in Peripheral Blood T-Lymphocytes in Predicting Length of Hospital Stay after Coronary Artery Bypass Surgery in Older Adults. Exp. Gerontol. 74, 29–36.

    Not in our library10.1016/j.exger.2015.12.003

  44. 44.

    Quinn K. M. Fox A. Harland K. L. Russ B. E. Li J. Nguyen T. H. O. (2018 ). Age-Related Decline in Primary CD8+ T Cell Responses Is Associated with the Development of Senescence in Virtual Memory CD8+ T Cells. Cell Rep. 23 (12), 3512–3524.

    Not in our library10.1016/j.celrep.2018.05.057

  45. 45.

    Ratliff M. Alter S. Frasca D. Blomberg B. B. Riley R. L. (2013 ). In Senescence, Age-Associated B Cells Secrete TNFα and Inhibit Survival of B-Cell Precursors. Aging Cell 12 (0), 303–311.

    Not in our library10.1111/acel.12055

  46. 46.

    Robbins P. D. Jurk D. Khosla S. Kirkland J. L. LeBrasseur N. K. Miller J. D. (2021 ). Senolytic Drugs: Reducing Senescent Cell Viability to Extend Health Span. Annu. Rev. Pharmacol. Toxicol. 61, 779–803.

    Not in our library10.1146/annurev-pharmtox-050120-105018

  47. 47.

    Rodier F. Coppé J.-P. Patil C. K. Hoeijmakers W. A. M. Muñoz D. P. Raza S. R. (2009 ). Persistent DNA Damage Signalling Triggers Senescence-Associated Inflammatory Cytokine Secretion. Nat. Cell Biol. 11 (8), 973–979.

    Not in our library10.1038/ncb1909

  48. 48.

    Sánchez-Cerrillo I. Landete P. Aldave B. Sánchez-Alonso S. Sánchez-Azofra A. Marcos-Jiménez A. (2020 ). COVID-19 Severity Associates with Pulmonary Redistribution of CD1c+ DCs and Inflammatory Transitional and Nonclassical Monocytes. J. Clin. Invest 130 (12), 6290–6300.

    Not in our library10.1172/jci140335

  49. 49.

    Serrano M. Lin A. W. McCurrach M. E. Beach D. Lowe S. W. (1997 ). Oncogenic Ras Provokes Premature Cell Senescence Associated with Accumulation of P53 and p16INK4a. Cell 88 (5), 593–602.

    Not in our library10.1016/s0092-8674(00)81902-9

  50. 50.

    Shirakawa K. Yan X. Shinmura K. Endo J. Kataoka M. Katsumata Y. (2016 ). Obesity Accelerates T Cell Senescence in Murine Visceral Adipose Tissue. J. Clin. Invest 126 (12), 4626–4639.

    Not in our library10.1172/jci88606

  51. 51.

    Suarez-Álvarez B. Rodríguez R. M. Schlangen K. Raneros A. B. Márquez-Kisinousky L. Fernández A. F. (2017 ). Phenotypic Characteristics of Aged CD4+ CD28null T Lymphocytes Are Determined by Changes in the Whole-Genome DNA Methylation Pattern. Aging Cell 16 (2), 293–303.

    Not in our library10.1111/acel.12552

  52. 52.

    Tripathi U. Nchioua R. Prata L. G. P. L. Zhu Y. Gerdes E. O. W. Giorgadze N. (2021 ). SARS-CoV-2 Causes Senescence in Human Cells and Exacerbates the Senescence-Associated Secretory Phenotype through TLR-3. Aging 13 (18), 21838–21854.

    Not in our library10.18632/aging.203560

  53. 53.

    Tsuji S. Minami S. Hashimoto R. Konishi Y. Suzuki T. Kondo T. (2022 ). SARS-CoV-2 Infection Triggers Paracrine Senescence and Leads to a Sustained Senescence-Associated Inflammatory Response. Nat. Aging 2 (2), 115–124.

    Not in our library10.1038/s43587-022-00170-7

  54. 54.

    Verdoorn B. P. Evans T. K. Hanson G. J. Zhu Y. Langhi Prata L. G. P. Pignolo R. J. (2021 ). Fisetin for COVID-19 in Skilled Nursing Facilities: Senolytic Trials in the COVID Era. J Am. Geriatrics Soc. 69 (11), 3023–3033.

    Not in our library10.1111/jgs.17416

  55. 55.

    Vigón L. Fuertes D. García-Pérez J. Torres M. Rodríguez-Mora S. Mateos E. (2021 ). Impaired Cytotoxic Response in PBMCs from Patients with COVID-19 Admitted to the ICU: Biomarkers to Predict Disease Severity. Front. Immunol. 12, 665329.

    Not in our library10.3389/fimmu.2021.665329

  56. 56.

    Weng N.-p. Akbar A. N. Goronzy J. (2009 ). CD28(-) T Cells: Their Role in the Age-Associated Decline of Immune Function. Trends Immunol. 30 (7), 306–312.

    Not in our library10.1016/j.it.2009.03.013

  57. 57.
  58. 58.

    Wong C. K. Smith C. A. Sakamoto K. Kaminski N. Koff J. L. Goldstein D. R. (2017 ). Aging Impairs Alveolar Macrophage Phagocytosis and Increases Influenza-Induced Mortality in Mice. J. I. 199 (3), 1060–1068.

    Not in our library10.4049/jimmunol.1700397

  59. 59.

    Xu M. Pirtskhalava T. Farr J. N. Weigand B. M. Palmer A. K. Weivoda M. M. (2018 ). Senolytics Improve Physical Function and Increase Lifespan in Old Age. Nat. Med. 24 (8), 1246–1256.

    Not in our library10.1038/s41591-018-0092-9

  60. 60.

    Yousefzadeh M. J. Flores R. R. Zhu Y. Schmiechen Z. C. Brooks R. W. Trussoni C. E. (2021 ). An Aged Immune System Drives Senescence and Ageing of Solid Organs. Nature 594 (7861), 100–105.

    Not in our library10.1038/s41586-021-03547-7

  61. 61.
  62. 62.

    Yousefzadeh M. J. Zhu Y. McGowan S. J. Angelini L. Fuhrmann-Stroissnigg H. Xu M. (2018 ). Fisetin Is a Senotherapeutic that Extends Health and Lifespan. EBioMedicine 36, 18–28.

    Not in our library10.1016/j.ebiom.2018.09.015

  63. 63.

    Zhao J. Zhao J. Legge K. Perlman S. (2011 ). Age-related Increases in PGD(2) Expression Impair Respiratory DC Migration, Resulting in Diminished T Cell Responses upon Respiratory Virus Infection in Mice. J. Clin. Invest. 121 (12), 4921–4930.

    Not in our library10.1172/jci59777

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.