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

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.

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Journal
Circulation
Published
2025-03-11
DOI
https://doi.org/10.1161/cir.151.suppl_1.036
Primary Topic
Nutrition, Genetics, and Disease
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article
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article

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

A. Heather Eliassen, Qianyan Zheng, Marta Guasch‐Ferré, Robert E. Gerszten et al.
Circulation
Nutrition, Genetics, and Disease
article

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

A. Heather Eliassen, Qianyan Zheng, Marta Guasch‐Ferré, Robert E. Gerszten, Liming Liang, Qi Sun, Frank B. Hu, Zicheng Wang, Shilpa N Bhupathiraju, Meir J. Stampfer, Danielle E. Haslam, Walter Churchill Willett, Zsu‐Zsu Chen, Xiang Li, Fenglei Wang, JoAnn E. Manson
article en

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.

CirculationVol. 151(Suppl_1)
Tulane University (US), University of Copenhagen (DK), Brigham and Women's Hospital (US), Beth Israel Deaconess Medical Center (US), Harvard University (US), SUNY Canton (US), Harvard University Press (US), Dana-Farber Cancer Institute (US), Vanderbilt Health (US)
Openalex Percentile: Top 91%
Nutrition, Genetics, and Disease
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