Evidence map›Paper›PMID 39073820›Full record

ArticleJAMA network open2024

Epigenetic Aging and Racialized, Economic, and Environmental Injustice: NIMHD Social Epigenomics Program.

Nancy Krieger, Christian Testa, Jarvis T Chen, Nykesha Johnson, Sarah Holmes Watkins, Matthew Suderman, Andrew J Simpkin, Kate Tilling, Pamela D Waterman, Brent A Coull and 4 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nancy KriegerDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Christian TestaDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Jarvis T ChenDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Nykesha JohnsonDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Sarah Holmes WatkinsMRC (Medical Research Council) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.
Matthew SudermanMRC (Medical Research Council) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.
Andrew J SimpkinSchool of Mathematical and Statistical Sciences, National University of Ireland, Galway.
Kate TillingMRC (Medical Research Council) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.
Pamela D WatermanDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Brent A CoullDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Immaculata De VivoDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
George Davey SmithMRC (Medical Research Council) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.
Ana V Diez RouxUrban Health Collective and Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania.
Caroline ReltonMRC (Medical Research Council) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
SNP HEALTH ASSOCIATION RESOURCE (SHARE)N02HL64278 · NHLBI · PI CHIN, SIANG · 2007 to 2007
$9.2M
A Longitudinal Epigenetic Study of AtherosclerosisR01HL135009 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2017 to 2020
$5.8M
Cell-specific genomic features of Alzheimer's disease progressionRF1AG054474 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DING, JINGZHONG, LIU, YONGMEI · 2017 to 2019
$4.1M
Epigenome-Wide Association Study of DNA Methylation and AtherosclerosisR01HL101250 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2009 to 2013
$3.6M
Obesity-Related Epigenetic Changes and Type-2 DiabetesR01DK101921 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2015 to 2019
$3.2M
miRNA Epigenetic Roles in Regulations of Cholesterol Metabolism and CVD RiskR01HL126477 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2015 to 2018
$3.0M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS N02 HL64278NHLBI NIH HHS R01 HL101250NHLBI NIH HHS R01 HL126477NHLBI NIH HHS R01 HL135009NIA NIH HHS R01 AG027122NIA NIH HHS RF1 AG054474NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK101921NIEHS NIH HHS P30 ES000002NIMHD NIH HHS R01 MD014304
6 · The paper itself

Abstract

Importance: Epigenetic age acceleration is associated with exposure to social and economic adversity and may increase the risk of premature morbidity and mortality. However, no studies have included measures of structural racism, and few have compared estimates within or across the first and second generation of epigenetic clocks. Objective: To determine whether epigenetic age acceleration is positively associated with exposures to diverse measures of racialized, economic, and environmental injustice measured at different levels and time periods. Design, Setting, and Participants: This cross-sectional study used data from the My Body My Story (MBMS) study between August 8, 2008, and December 31, 2010, and examination 5 of the Multi-Ethnic Atherosclerosis Study (MESA) from April 1, 2010, to February 29, 2012. In the MBMS, DNA extraction was performed in 2021; linkage of structural measures to the MBMS and MESA, in 2022. US-born individuals were randomly selected from 4 community health centers in Boston, Massachusetts (MBMS), and 4 field sites in Baltimore, Maryland; Forsyth County, North Carolina; New York City, New York; and St Paul, Minnesota (MESA). Data were analyzed from November 13, 2021, to August 31, 2023. Main Outcomes and Measures: Ten epigenetic clocks (6 first-generation and 4 second-generation), computed using DNA methylation data (DNAm) from blood spots (MBMS) and purified monocytes (MESA). Results: The US-born study population included 293 MBMS participants (109 men [37.2%], 184 women [62.8%]; mean [SD] age, 49.0 [8.0] years) with 224 Black non-Hispanic and 69 White non-Hispanic participants and 975 MESA participants (492 men [50.5%], 483 women [49.5%]; mean [SD] age, 70.0 [9.3] years) with 229 Black non-Hispanic, 191 Hispanic, and 555 White non-Hispanic participants. Of these, 140 (11.0%) exhibited accelerated aging for all 5 clocks whose estimates are interpretable on the age (years) scale. Among Black non-Hispanic MBMS participants, epigenetic age acceleration was associated with being born in a Jim Crow state by 0.14 (95% CI, 0.003-0.27) SDs and with birth state conservatism by 0.06 (95% CI, 0.01-0.12) SDs, pooling across all clocks. Low parental educational level was associated with epigenetic age acceleration, pooling across all clocks, for both Black non-Hispanic (0.24 [95% CI, 0.08-0.39] SDs) and White non-Hispanic (0.27 [95% CI, 0.03-0.51] SDs) MBMS participants. Adult impoverishment was positively associated with the pooled second-generation clocks among the MESA participants (Black non-Hispanic, 0.06 [95% CI, 0.01-0.12] SDs; Hispanic, 0.07 [95% CI, 0.01-0.14] SDs; White non-Hispanic, 0.05 [95% CI, 0.01-0.08] SDs). Conclusions and Relevance: The findings of this cross-sectional study of MBMS and MESA participants suggest that epigenetic age acceleration was associated with racialized and economic injustice, potentially contributing to well-documented inequities in premature mortality. Future research should test the hypothesis that epigenetic accelerated aging may be one of the biological mechanisms underlying the well-documented elevated risk of premature morbidity and mortality among social groups subjected to racialized and economic injustice.

Indexed as

AgingEpigenesis, GeneticEpigenomicsAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedRacismSocial JusticeSocioeconomic FactorsUnited States

Identifiers

PMID39073820
PMCPMC11287398

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