Abstract 036: Proteomic Profiles of the Plant-based Diets and Cardiometabolic Disease Risk

Q Qianyan Zheng (Dana Farber Cancer Institute, Newton, Massachusetts, United States) Z Zicheng Wang (Department of Human Genetics, The University of Chicago, Chicago, IL, USA.) M Marta Guasch (UNIVERSITY OF COPENHAGEN, Copenhagen, Denmark) F Fenglei Wang J JoAnn Manson (Brigham andWomen’s Hospital, Boston, MA, USA.) L Lu Qi (Shandong Provincial Key Laboratory for Science of Material Creation and Energy Conversion, Science Center for Material Creation and Energy Conversion, Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering) Q Qi Sun L Liming Liang Z Zsu-Zsu Chen (Beth Israel Lahey Health, Boston, Massachusetts, United States) R Robert Gerszten M Meir Stampfer (CHANNING DIV NETWORK MEDICINE, Boston, Massachusetts, United States) W Walter Willett (Harvard university, Cambridge, Massachusetts, United States) F Frank Hu (HARVARD SCHOOL OF PUBLIC HEALTH, Boston, Massachusetts, United States) A A Heather Eliassen (Harvard Medical School, Boston, Massachusetts, United States) D Danielle Haslam (Brigham and Womens Hospital, Canton, Massachusetts, United States) S Shilpa Bhupathiraju (CHANNING DIV NETWORK MEDICINE, Boston, Massachusetts, United States)

Abstract

Background: Plant-based diets are recommended to lower the risk of type 2 diabetes (T2D) and coronary heart disease (CHD). Proteomic responses to plant-based diets may reveal biological pathways underlying the associations between plant-based diets and cardiometabolic disease risk. Hypothesis: Proteomic profiles reflecting adherence and biological response to an overall plant-based diet index (PDI) and a healthy PDI (hPDI) will associate with lower risks of T2D and CHD, but to an unhealthy PDI (uPDI) will associate with higher risks. Methods: We analyzed baseline plasma Olink antibody-based proteomic profiling and food frequency questionnaire (FFQ) data from 1,660 participants in the Nurses’ Health Study (NHS), NHSII, and Health Professional Follow-up Study. First, proteome-wide association analyses were conducted among 532 proteins for each PDI, adjusting for demographics, lifestyle, and BMI. For proteins with p <0.05, we applied elastic net regression with 10-fold cross-validation to develop plasma proteomic profiles related to baseline self-reported PDIs in a training set (n=1,162). We validated these profiles in a testing set (n=498). Multivariable Cox regression models examined associations between proteomic profiles of PDIs and incident T2D and CHD, adjusting for respective FFQ-derived PDI scores and many potential confounders. Results: We documented 173 T2D cases and 85 CHD cases during median follow-up periods of 23 and 24 years. We identified proteomic profiles comprised of 35, 54, and 40 proteins that correlated with (Spearman r) the FFQ-derived PDI (0.23), hPDI (0.29), and uPDI (0.23) scores, respectively. Each SD increment in the proteomic profiles of the PDI and hPDI was associated with a lower incident T2D risk (PDI: HR=0.59 [0.50, 0.69]; hPDI: HR=0.75 [0.64, 0.88]), whereas the proteomic profile of the uPDI was associated with a higher incident T2D risk (HR=1.37 [1.17, 1.60]). Each SD increment in the PDI proteomic profile, but not the hPDI proteomic profile, was associated with a lower incident CHD risk (HR=0.76 [0.60, 0.96]), whereas the uPDI proteomic profile was associated with a higher incident CHD risk (HR=1.28 [1.02, 1.60]). All the associations remained statistically significant after further adjustment for BMI, except for the association between the hPDI proteomic profile and T2D risk (HR=0.87 [0.73, 1.03]). Conclusions: Proteomic profiles of PDIs were associated with risks of T2D and CHD, independent of self-reported diet measures.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (16)

Q

Qianyan Zheng

Dana Farber Cancer Institute, Newton, Massachusetts, United States

Z

Zicheng Wang

Department of Human Genetics, The University of Chicago, Chicago, IL, USA.

M

Marta Guasch

UNIVERSITY OF COPENHAGEN, Copenhagen, Denmark

F

Fenglei Wang

J

JoAnn Manson

Brigham andWomen’s Hospital, Boston, MA, USA.

L

Lu Qi

Shandong Provincial Key Laboratory for Science of Material Creation and Energy Conversion, Science Center for Material Creation and Energy Conversion, Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering

Q

Qi Sun

L

Liming Liang

Z

Zsu-Zsu Chen

Beth Israel Lahey Health, Boston, Massachusetts, United States

R

Robert Gerszten

M

Meir Stampfer

CHANNING DIV NETWORK MEDICINE, Boston, Massachusetts, United States

W

Walter Willett

Harvard university, Cambridge, Massachusetts, United States

F

Frank Hu

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

A

A Heather Eliassen

Harvard Medical School, Boston, Massachusetts, United States

D

Danielle Haslam

Brigham and Womens Hospital, Canton, Massachusetts, United States

S

Shilpa Bhupathiraju

CHANNING DIV NETWORK MEDICINE, Boston, Massachusetts, United States