Evidence mapPaperPMID 40802109Full record

ArticleDiabetes care2025

Plasma Metabolome, Long-term Body Weight Change, and Type 2 Diabetes in U.S. Individuals.

Zhiyuan Wu, Binkai Liu, Jun Li, Oana Zeleznik, A Heather Eliassen, Clemens Wittenbecher, Frank B Hu, Molin Wang, Mingyang Song, Yang Hu and 1 more

Abstract read
In one paragraph

Article in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhiyuan WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0001-5694-2441
Binkai LiuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0002-5478-5208
Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0003-3519-8638
Oana ZeleznikDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
A Heather EliassenDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Clemens WittenbecherDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0001-7792-877X
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Molin WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Yang HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0002-8480-1563

Funding

SPORE in Prostate CancerP50CA090381 · DANA-FARBER CANCER INSTITUTE · 2002 to 2005
$10.4M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · BRIGHAM AND WOMEN'S HOSPITAL · 1989 to 2005
$7.7M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2025 to 2025
$6.4M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · TULANE UNIVERSITY OF LOUISIANA · 1985 to 2025
$3.5M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2025 to 2025
$2.5M
DIETARY ETIOLOGIES OF HEART DISEASE AND CANCERR01HL035464 · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · 1986 to 2005
$2.2M
Human Gut Microbiome and Incident Diabetes Risk in U.S. PopulationsR01DK126698 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2022 to 2024
$1.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2025 to 2025
$1.5M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2025 to 2025
$843k
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · 1998 to 2005
$763k
Per- and polyfluoroalkyl substances, apolipoproteins, and risk of coronary heart diseaseR01ES036206 · BRIGHAM AND WOMEN'S HOSPITAL · 2025 to 2025
$703k
Risk Factors for Ischemic Stroke in WomenR01HL088521 · BRIGHAM AND WOMEN'S HOSPITAL · 2025 to 2025
$682k
Dana-Farber/Harvard Cancer Center P50 CA090381-15NCI NIH HHS P50 CA090381NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL088521NHLBI NIH HHS U01 HL145386NIDDK NIH HHS R00 DK122128NIDDK NIH HHS R01 DK120870NIDDK NIH HHS R01 DK126698NIEHS NIH HHS R01 ES022981NIEHS NIH HHS R01 ES036206NIH HHS DK120870NIH HHS DK126698NIH HHS DK129670NIH HHS ES022981NIH HHS ES036206NIH HHS R01 CA49449NIH HHS R01 HL034594NIH HHS R01 HL035464NIH HHS R01 HL088521NIH HHS R01 HL60712NIH HHS U01 CA167552NIH HHS U01 CA176726NIH HHS U01 HL145386NIH HHS UM1 CA186107
6 · The paper itself

Abstract

objectiveBody weight influences the blood metabolome, but whether specific plasma metabolomic profiles predict long-term weight change remains unclear. We aimed to investigate associations among plasma metabolites, current weight, weight change trajectories, and incident type 2 diabetes (T2D) in adults. RESEARCH DESIGN AND

methodsWe profiled 260 plasma metabolites in 7,499 U.S. health professionals. A metabolomic score predicting BMI change over time was derived using elastic net regression with a training/testing approach. Associations with incident T2D were examined using multivariable Cox models.

resultsMetabolomic predictors of BMI change varied by baseline weight status. In lean individuals, 46 metabolites significantly predicted BMI change slope compared with 20 individuals in the group with overweight and 13 in the group with obesity, with no overlapping metabolites across groups. A metabolomic score of BMI slope derived in lean participants correlated with BMI slope in the lean group (Spearman r = 0.31), but the correlation was weaker in the groups with overweight (r = 0.16) and obesity (r = 0.10). The score was associated with higher T2D risk in the lean group (hazard ratio [HR] per 1 SD 1.42; 95% CI 1.26-1.60) and group with overweight (HR 1.29; 95% CI 1.17-1.42) but not in the group with obesity.

conclusionsPlasma metabolomic profiles predictive of future weight change differ by body weight status. Distinct metabolic signatures may help identify certain lean individuals at an elevated risk of future weight gain and T2D, offering opportunities for earlier, more targeted prevention.

Indexed as

Body WeightDiabetes Mellitus, Type 2MetabolomeAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedObesityOverweightUnited States

Identifiers

PMID40802109
PMCPMC12451841

What Socratic holds

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Registered trials

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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 Socratic graph.