Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population

Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population

Scientific Reports

10.1038/s41598-022-20714-6

http://dx.doi.org/10.1038/s41598-022-20714-6

Xinpeng Loh, Lijuan Sun, John Carson Allen, Hui Jen Goh, Siew Ching Kong, Weiting Huang, Cherlyn Ding, Nabil Bosco, Leonie Egli, Lucas Actis-Goretta, Faidon Magkos, Fabrizio Arigoni, Khung Keong Yeo, Melvin Khee-Shing Leow

Multidisciplinary

07 October 2022

Loh, X., Sun, L., Allen, J. C., Goh, H. J., Kong, S. C., Huang, W., Ding, C., Bosco, N., Egli, L., Actis-Goretta, L., Magkos, F., Arigoni, F., Yeo, K. K., & Leow, M. K.-S. (2022). Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-20714-6

AbstractThe prediction utility of Framingham Risk Score in populations with low conventional cardiovascular risk burden is limited, particularly among women. Gender-specific markers to predict cardiovascular risk in overtly healthy people are lacking. In this study we hypothesize that postprandial responses triggered by a high-calorie meal test differ by gender in their ability to triage asymptomatic subjects into those with and without subclinical atherosclerosis. A total of 101 healthy Chinese subjects (46 females, 55 males) at low risk of coronary heart disease completed the study. Subjects underwent cardiovascular imaging and postprandial blood phenotyping after consuming a standardized macronutrient meal. Prediction models were developed using logistic regression and subsequently subjected to cross-validation to obtain a de-optimized receiver operating characteristic (ROC) curve. Distinctive gender differences in postprandial trajectories of glucose, lipids and inflammatory markers were observed. We used gender-specific association with different combinations of postprandial predictors to develop 2 models for predicting risk of subclinical atherosclerosis in males (ROC AUC = 0.7867, 95% CI 0.6567, 0.9166) and females (ROC AUC = 0.9161, 95% CI 0.8340, 0.9982) respectively. We report novel postprandial models for predicting subclinical atherosclerosis in apparently healthy Asian subjects using a gender-specific approach, complementing the conventional Framingham Risk Score.Clinical Trial Registration: The trial was registered at clinicaltrials.gov as NCT03531879.

Attribution 4.0 International (CC BY 4.0)

This work was supported financially by the Agency for Science, Technology and Research (A*STAR); I-1701E0B15 and Société des Produits Nestlé SA, Lausanne, Switzerland.

https://oar.a-star.edu.sg/communities-collections/articles/18736

2045-2322

Singapore Institute for Clinical Sciences