Evidence map›Paper›PMID 38802805›Full record

ArticleBMC medical genomics2024

Epigenetic age acceleration is associated with blood lipid levels in a multi-ancestry sample of older U.S. adults.

Lisha Lin, Jenna Kiryakos, Farah Ammous, Scott M Ratliff, Erin B Ware, Jessica D Faul, Sharon L R Kardia, Wei Zhao, Kira S Birditt, Jennifer A Smith

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Lisha Lin *Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Jenna Kiryakos *Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Farah AmmousSurvey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA.
Scott M RatliffDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Erin B WareSurvey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA.
Jessica D FaulSurvey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA.
Sharon L R KardiaDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Kira S BirdittSurvey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. smjenn@umich.edu.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
DNA Methylation, Genetics, and Modifiable Risk Factors of Dementia in a Nationally Representative, Multi-Ethnic Cohort - Diversity SupplementR01AG067592 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, WARE, ERIN BAKSHIS · 2020 to 2025
$3.8M
A Social Epigenomic Approach to Health Disparities in Cardiovascular Risk FactorsR01HL141292 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMITH, JENNIFER ANN · 2018 to 2021
$2.9M
Biological Underpinnings of Socioeconomic Differentials in Health and MortalityR01AG060110 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M · 2018 to 2022
$2.6M
Characterizing disparities in late-onset Alzheimer's disease risk through polygenic risk and epidemiologic factors in the Health and Retirement SurveyR01AG055406 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, WARE, ERIN BAKSHIS · 2017 to 2020
$1.7M
Alcohol Consumption and Cardiovascular Health Among Older Couples: The Roles of Genetics and Marital QualityR01AA026687 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BIRDITT, KIRA S · 2019 to 2021
$1.2M
NHLBI NIH HHS R01 HL141292NHLBI NIH HHS R01HL141292NIAAA NIH HHS R01 AA026687NIA NIH HHS R01 AG055406NIA NIH HHS R01AG055406NIA NIH HHS R01 AG060110NIA NIH HHS R01 AG067592NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundDyslipidemia, which is characterized by an unfavorable lipid profile, is a key risk factor for cardiovascular disease (CVD). Understanding the relationships between epigenetic aging and lipid levels may help guide early prevention and treatment efforts for dyslipidemia.

methodsWe used weighted linear regression to cross-sectionally investigate the associations between five measures of epigenetic age acceleration estimated from whole blood DNA methylation (HorvathAge Acceleration, HannumAge Acceleration, PhenoAge Acceleration, GrimAge Acceleration, and DunedinPACE) and four blood lipid measures (total cholesterol (TC), LDL-C, HDL-C, and triglycerides (TG)) in 3,813 participants (mean age = 70 years) from the Health and Retirement Study (HRS). As a sensitivity analysis, we examined the same associations in participants who fasted prior to the blood draw (n = 2,531) and in participants who did not take lipid-lowering medication (n = 1,869). Using interaction models, we also examined whether demographic factors including age, sex, and educational attainment modified the relationships between epigenetic age acceleration and blood lipids.

resultsAfter adjusting for age, race/ethnicity, sex, fasting status, and lipid-lowering medication use, greater epigenetic age acceleration was associated with lower TC, HDL-C, and LDL-C, and higher TG (p < 0.05), although the effect sizes were relatively small (e.g., < 7 mg/dL of TC per standard deviation in epigenetic age acceleration). GrimAge acceleration and DunedinPACE associations with all lipids remained significant after further adjustment for body mass index, smoking status, and educational attainment. These associations were stronger in participants who fasted and who did not use lipid-lowering medication, particularly for LDL-C. We observed the largest number of interactions between DunedinPACE and demographic factors, where the associations with lipids were stronger in younger participants, females, and those with higher educational attainment.

conclusionMultiple measures of epigenetic age acceleration are associated with blood lipid levels in older adults. A greater understanding of how these associations differ across demographic groups can help shed light on the relationships between aging and downstream cardiovascular diseases. The inverse associations between epigenetic age and TC and LDL-C could be due to sample limitations or non-linear relationships between age and these lipids, as both TC and LDL-C decrease faster at older ages.

Indexed as

AgingEpigenesis, GeneticLipidsAgedCross-Sectional StudiesDNA MethylationFemaleHumansMaleMiddle AgedUnited StatesLipidsAgingCholesterolDNA methylationEpigenetic age accelerationHDL cholesterolLDL cholesterolLipidsTriglycerides

Identifiers

PMID38802805
PMCPMC11129464

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.