Evidence map›Paper›PMID 42818899›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Assessing and refining a metabolite-based distress score for use in different populations within three US cohorts.

Tianyi Huang, Yiwen Zhu, Raji Balasubramanian, Andrea L Roberts, Clary B Clish, Julian Avila-Pacheco, Jerome I Rotter, Xiuqing Guo, Jie Yao, Yii-Der Ida Chen and 11 more

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Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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5 · Who and what money

Authors and funding

21 authors.

Tianyi HuangLaboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Yiwen ZhuDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Raji BalasubramanianDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Andrea L RobertsDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Clary B ClishBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.ORCID 0000-0001-8259-9245
Julian Avila-PachecoBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Jie YaoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Yii-Der Ida ChenThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Alexis C WoodUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
W Craig JohnsonDepartment of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA.
Katherine H ShuttaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-0402-3771
Kathryn M RexrodeDivision of Women's Health, Department of Medicine, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science and Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
Su Yon JungJonsson Comprehensive Cancer Center, Translational Sciences Section, School of Nursing, University of California, Los Angeles, CA, USA.
JoAnn E MansonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Susan E HankinsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Laura D KubzanskyDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
WOMEN'S HEALTH INITIATIVE - CLINICAL COORDINATING CENTER: TASK AREA B - LONG LIFE STUDY VISIT 2 LIMITED HOME VISIT75N92021D00001 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L. · 2021 to 2025
$52.0M
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
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
WOMEN'S HEALTH INITIATIVE (WHI) REGIONAL CENTER (RC): TASK AREA A AND A275N92021D00002 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WACTAWSKI-WENDE, JEAN · 2021 to 2025
$6.9M
Intramural NIH HHS ZIA AG000530NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS 75N92021D00001NHLBI NIH HHS 75N92021D00002NHLBI NIH HHS HHSN268201300008CNHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201600038CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL120393NIA NIH HHS R01 AG051600NIEHS NIH HHS 75N98025D00022NIEHS NIH HHS 75N98025D00024NIEHS NIH HHS 75N98025D00025NIEHS NIH HHS 75N98025D00026NIEHS NIH HHS 75N98025D00027NIEHS NIH HHS 75N98025D00028WHI NIH HHS 75N92021D00003WHI NIH HHS 75N92021D00004WHI NIH HHS 75N92021D00005
6 · The paper itself

Abstract

Introduction: Psychological distress is associated with metabolic alterations that contribute to adverse cardiometabolic outcomes across diverse populations. We previously developed a metabolite-based distress score (MDS) in predominantly White women. Because men and Black individuals suffer high rates of cardiometabolic disease, we evaluated whether the MDS is similarly associated with depression in these populations, and derived a multi-ethnic MDS (MDS-ME) among Black individuals with replications in independent samples. Methods: Data were from three U.S. cohorts, the Multi-Ethnic Study of Atherosclerosis (MESA), Women's Health Initiative (WHI), and Nurses' Health Study (NHS), evaluated in 4 stages. Stages 1-3 included 2,477 White and 1,625 Black MESA participants with depression status data and plasma metabolomics assessed at baseline. Stage 1: We calculated the MDS and examined its association with depression status. Stage 2: We conducted an agnostic analysis among a 70% random subset of Black participants to identify additional relevant metabolites. Stage 3: We derived an MDS-ME in Black participants. Stage 4: We evaluated the MDS-ME using independent samples from all three cohorts. Results: The previously validated 20-metabolite MDS showed stronger associations with prevalent depression in White (OR: 1.93, 95% CI: 1.71, 2.19) versus Black (OR: 1.13, 95% CI: 0.97, 1.33) MESA participants. Associations were generally similar in men and women. The MDS-ME comprised 33 metabolites, and relative to the MDS was more strongly associated with depression in Black participants (OR: 1.45; 95% CI: 1.04, 2.03), with associations also evident in White participants (OR: 1.81; 95% CI: 1.60, 2.04). The MDS-ME was similarly associated with depression in Black women in WHI and NHS. Conclusion: Results suggest that incorporating metabolites identified in Black participants enhances the utility and generalizability of the MDS across more diverse populations.

Identifiers

PMID42818899
PMCPMC13622792

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