Abstract 54: Body Weight, Human Gut Microbiome, Blood Metabolome, and incident Type 2 Diabetes- A Multi-Omics Integration Study

S Siyue Wang T Tengteng Wang A A Heather Eliassen (Harvard Medical School, Boston, Massachusetts, United States) A Andrew Chan (Massachusetts General Hospital, Boston, Massachusetts, United States) C Curtis Huttenhower (Broad Institute of MIT and Harvard) E Eric Rimm (Harvard School of Public Health, Boston, Massachusetts, United States) F Frank Hu (HARVARD SCHOOL OF PUBLIC HEALTH, Boston, Massachusetts, United States) K Kyu Ha Lee (Harvard T.H. Chan, Boston, Massachusetts, United States) M Molin Wang (Harvard T.H. Chan, Boston, Massachusetts, United States) Q Qibin Qi Y Yang Hu F Fenglei Wang Z Zhendong Mei (Brigham and Women's Hospital, Boston, Massachusetts, United States) M Mingyang Song (State Key Laboratory for Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China) D Dong Wang I Iris Shai C Cuilin Zhang Q Qi Sun

Abstract

Background: Few prospective human studies have characterized interrelationships between body weight, gut microbiome, plasma metabolome, and incident type 2 diabetes (T2D). Aims: To identify microbial profiles associated with adiposity, derive its responsive metabolomic signatures, and evaluate their associations with future weight change and incident T2D. Methods: Shotgun stool metagenomes were profiled in the Men’s Lifestyle Validation Study (MLVS; n=924). Body mass index (BMI)-associated microbial species were identified after adjusting for age, total energy, physical activity, alcohol and smoking, and were synthesized into a composite microbiome score. We evaluated its association with waist-to-hip ratio (WHR) and DEXA-measured fat mass in MLVS and validated its association with BMI in female Mind–Body Study (MBS; n=807). Next, the score was examined for its association with prevalent T2D in the multiethnic Micro-Cardio consortium (n=8,117). Prospectively, we tested its predictability of 2-year BMI increase and incident T2D risk in the Micro-N (n=3,318). To further characterize the downstream metabolism of this microbial profile, we linked it to >300 LC–MS metabolites in the MLVS and derived a microbiome-informed multi-metabolite score, which was validated in the MBS. We examined the metabolomic score for incident T2D risk in a prospective cohort, the Nurses’ Health Study (NHS; n=1,057). Results: We identified 23 microbial species associated with BMI in MLVS. The 23-species composite score was correlated with higher BMI (High vs.Low: MLVS β=3.45; MBS β=4.37 both P<0.001), and also correlated with WHR (r=0.45) and fat mass (r=0.73). Additionally, higher microbiome score consistently predicted 2-year BMI increase (β=0.22, P =0.003) and predicts incident T2D in Micro-N (HR [high vs. low] = 2.19, P=0.01), as well as prevalent T2D in the Micro-Cardio (HR [per SD] =1.19, P<0.001). A 32-plasma metabolite signature was responsive to this microbial profile in MLVS (r=0.66) and validated in MBS (r=0.38), and also predicted incident T2D in NHS (RR=2.18, P<0.0001) independent of baseline BMI. Conclusions: We identified and validated a gut microbiome score predictive of adiposity across multiple cohorts, showing consistent associations with plasma metabolomic signatures and increased risk of T2D. This highlights a potential role of the gut microbiome in weight regulation and T2D development, providing new insights into microbiome-informed strategies for T2D prevention.

Article Details

Journal Circulation
Volume / Issue Vol. 153, Issue Suppl_1
Published March 24, 2026
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (18)

S

Siyue Wang

T

Tengteng Wang

A

A Heather Eliassen

Harvard Medical School, Boston, Massachusetts, United States

A

Andrew Chan

Massachusetts General Hospital, Boston, Massachusetts, United States

C

Curtis Huttenhower

Broad Institute of MIT and Harvard

E

Eric Rimm

Harvard School of Public Health, Boston, Massachusetts, United States

F

Frank Hu

HARVARD SCHOOL OF PUBLIC HEALTH, Boston, Massachusetts, United States

K

Kyu Ha Lee

Harvard T.H. Chan, Boston, Massachusetts, United States

M

Molin Wang

Harvard T.H. Chan, Boston, Massachusetts, United States

Q

Qibin Qi

Y

Yang Hu

F

Fenglei Wang

Z

Zhendong Mei

Brigham and Women's Hospital, Boston, Massachusetts, United States

M

Mingyang Song

State Key Laboratory for Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China

D

Dong Wang

I

Iris Shai

C

Cuilin Zhang

Q

Qi Sun