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Longitudinal associations between use of antihypertensive, antidiabetic, and lipid-lowering medications and biological aging

Tang, B. (author)
Karolinska Institutet
Li, X. (author)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden
Wang, Y. (author)
Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Solna, Sweden
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Sjölander, A. (author)
Karolinska Institutet
Johnell, K. (author)
Karolinska Institutet
Thambisetty, M. (author)
Brain Aging and Behavior Section, National Institute on Aging, Baltimore, United States
Ferrucci, L. (author)
Longitudinal Studies Section, National Institute on Aging, Baltimore, United States
Reynolds, C. A. (author)
Department of Psychology, University of California, Riverside, CA, United States
Finkel, Deborah (author)
Jönköping University,HHJ, Institutet för gerontologi,HHJ. ARN-J (Aging Research Network - Jönköping),Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
Jylhävä, J. (author)
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden
Pedersen, N. L. (author)
Karolinska Institutet
Hägg, S. (author)
Karolinska Institutet
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 (creator_code:org_t)
Springer, 2023
2023
English.
In: GeroScience. - : Springer. - 2509-2715. ; 45:3, s. 2065-2078
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Aging is a major risk factor for many chronic diseases. This study aimed to examine the effects of antihypertensive, lipid-lowering, and antidiabetic drugs on biological aging. We included 672 participants and 2746 repeated measurements from the Swedish Adoption/Twin Study of Aging. Self-reported medicine uses were categorized into antidiabetic, antihypertensive, and lipid-lowering drugs. A total of 12 biomarkers for biological aging (BA biomarkers) were included as outcomes. Conditional generalized estimating equations were applied conditioning on individuals to estimate the drug effect on BA biomarker level within the same person when using or not using the drug. Chronological age, body mass index, smoking status, number of multiple medication uses, blood pressure, blood glucose level, and apoB/apoA ratio were adjusted for as covariates in the model. Overall, using antihypertensive drugs was associated with a decrease in one DNA-methylation age (PCGrimAge: beta = − 0.39, 95%CI = − 0.67 to − 0.12). When looking into drug subcategories, calcium channel blockers (CCBs) were associated with a decrease in several DNA-methylation ages (PCHorvathAge beta = − 1.28, 95%CI = − 2.34 to − 0.21; PCSkin&bloodAge beta = − 1.34, 95%CI = − 2.61 to − 0.07; PCPhenoAge beta = − 1.74, 95%CI = − 2.58 to − 0.89; PCGrimAge beta = − 0.57, 95%CI = − 0.96 to − 0.17) and in functional biological ages (functional age index beta = − 2.18, 95%CI = − 3.65 to − 0.71; frailty index beta = − 1.31, 95%CI = − 2.43 to − 0.18). However, the results within other drug subcategories were inconsistent. Calcium channel blockers may decrease biological aging captured by the BA biomarkers measured at epigenetic and functional level. Future studies are warranted to confirm these effects and understand the underlying biological mechanisms.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Geriatrik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Geriatrics (hsv//eng)

Keyword

Antidiabetic
Antihypertensive
Biomarkers of biological aging
Lipid-lowering medications

Publication and Content Type

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