Optimizing clinical phenotyping to better delineate the complex relationship between type 2 diabetes and Alzheimer’s disease
Angela J. Hanson, Katya B. Rubinow
Clinical and Translational Science · 2021
doi:10.1111/cts.13024 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Abstract Alzheimer’s disease (AD) is the most common form of dementia, and its prevalence is increasing rapidly. According to the Alzheimer’s Association, over 5 million adults in the United States over the age of 65 years currently have AD, and this number is expected to exceed 13 million by 2050 in the absence of novel, preventative strategies. Epidemiologic studies have implicated the presence of type 2 diabetes mellitus (T2DM) specifically at midlife as a key modifiable risk factor for AD, and AD may increase risk of dysglycemia and T2DM. However, data have been inconsistent with regard to the magnitude of AD risk attributable to T2DM, and the pathways underlying this apparent relationship remain poorly understood. Elucidating the impact of T2DM on AD risk and progression requires greater attention to the myriad facets of T2DM pathophysiology, its comorbid conditions, and attendant treatment modalities, all of which may differentially impact the relationships among T2DM, cognitive decline, and AD. This mini‐review will summarize the discrete facets of T2DM that may influence AD risk and highlight the importance of careful clinical phenotyping in both epidemiologic and interventional studies to better delineate the key pathways and mechanisms linking T2DM and AD.
Abstract licence: CC BY-NC
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.