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James L. Kirkland

Researcher at Mayo Clinic

Publications -  322
Citations -  33834

James L. Kirkland is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Senescence & Adipose tissue. The author has an hindex of 76, co-authored 280 publications receiving 23328 citations. Previous affiliations of James L. Kirkland include Buck Institute for Research on Aging & University of Pittsburgh.

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Journal ArticleDOI

Effect of Low-Dose Rapamycin on Senescence Markers and Physical Functioning in Older Adults with Coronary Artery Disease: Results of a Pilot Study.

TL;DR: The safety and feasibility of low-dose rapamycin and its effect on SASP and frailty in elderly undergoing cardiac rehabilitation (CR) is studied and some correlation between some senescence markers and physical performance is observed.
Book ChapterDOI

Cellular senescence in aging and age-related diseases: Implications for neurodegenerative diseases.

TL;DR: Roles of senescent cells in neurodegenerative diseases and potential implications of senolytic agents as an innovative treatment are considered and agents that selectively target these cells are targeted in preclinical models are considered.
Journal ArticleDOI

Esterification of free fatty acids in adipocytes: a comparison between octanoate and oleate

TL;DR: In this paper, the authors evaluated the influence of octanoate and oleate on metabolism in fat cells and found that octanoates were esterified to a greater extent at the sn-1,3 position of glyceryl carbons than at the n-2 position.
Journal ArticleDOI

Dasatinib plus quercetin prevents uterine age-related dysfunction and fibrosis in mice.

TL;DR: A role for the Pi3k/Akt1/mTor signaling pathway in uterine aging is demonstrated and a possible anti-fibrotic effect in the uterus of D+Q senolytic therapy is suggested for the first time.
Journal ArticleDOI

Evaluating Health Span in Preclinical Models of Aging and Disease: Guidelines, Challenges, and Opportunities for Geroscience.

TL;DR: The Network discussed challenges in modeling age-related human chronic diseases and concluded that more attention needs to be paid to developing disease models with later age of onset, models of co- and multimorbidity, diversifying the strains and sexes commonly used in aging research, and considering additional species.