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

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Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population. / Loh, Xinpeng; Sun, Lijuan; Allen, John Carson; Goh, Hui Jen; Kong, Siew Ching; Huang, Weiting; Ding, Cherlyn; Bosco, Nabil; Egli, Leonie; Actis-Goretta, Lucas; Magkos, Faidon; Arigoni, Fabrizio; Yeo, Khung Keong; Leow, Melvin Khee-Shing.

I: Scientific Reports, Bind 12, 16890, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Loh, X, Sun, L, Allen, JC, Goh, HJ, Kong, SC, Huang, W, Ding, C, Bosco, N, Egli, L, Actis-Goretta, L, Magkos, F, Arigoni, F, Yeo, KK & Leow, MK-S 2022, 'Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population', Scientific Reports, bind 12, 16890. https://doi.org/10.1038/s41598-022-20714-6

APA

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, [16890]. https://doi.org/10.1038/s41598-022-20714-6

Vancouver

Loh X, Sun L, Allen JC, Goh HJ, Kong SC, Huang W o.a. Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population. Scientific Reports. 2022;12. 16890. https://doi.org/10.1038/s41598-022-20714-6

Author

Loh, Xinpeng ; Sun, Lijuan ; Allen, John Carson ; Goh, Hui Jen ; Kong, Siew Ching ; Huang, Weiting ; Ding, Cherlyn ; Bosco, Nabil ; Egli, Leonie ; Actis-Goretta, Lucas ; Magkos, Faidon ; Arigoni, Fabrizio ; Yeo, Khung Keong ; Leow, Melvin Khee-Shing. / Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population. I: Scientific Reports. 2022 ; Bind 12.

Bibtex

@article{babffe6b353344099109aeedfab5e08f,
title = "Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population",
abstract = "The 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.",
keywords = "Atherosclerosis, China, Fasting, Female, Glucose, Humans, Lipids, Male, Postprandial period, Risk factors, Sex factors",
author = "Xinpeng Loh and Lijuan Sun and Allen, {John Carson} and Goh, {Hui Jen} and Kong, {Siew Ching} and Weiting Huang and Cherlyn Ding and Nabil Bosco and Leonie Egli and Lucas Actis-Goretta and Faidon Magkos and Fabrizio Arigoni and Yeo, {Khung Keong} and Leow, {Melvin Khee-Shing}",
note = "{\textcopyright} 2022. The Author(s).",
year = "2022",
doi = "10.1038/s41598-022-20714-6",
language = "English",
volume = "12",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population

AU - Loh, Xinpeng

AU - Sun, Lijuan

AU - Allen, John Carson

AU - Goh, Hui Jen

AU - Kong, Siew Ching

AU - Huang, Weiting

AU - Ding, Cherlyn

AU - Bosco, Nabil

AU - Egli, Leonie

AU - Actis-Goretta, Lucas

AU - Magkos, Faidon

AU - Arigoni, Fabrizio

AU - Yeo, Khung Keong

AU - Leow, Melvin Khee-Shing

N1 - © 2022. The Author(s).

PY - 2022

Y1 - 2022

N2 - The 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.

AB - The 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.

KW - Atherosclerosis

KW - China

KW - Fasting

KW - Female

KW - Glucose

KW - Humans

KW - Lipids

KW - Male

KW - Postprandial period

KW - Risk factors

KW - Sex factors

U2 - 10.1038/s41598-022-20714-6

DO - 10.1038/s41598-022-20714-6

M3 - Journal article

C2 - 36207366

VL - 12

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 16890

ER -

ID: 322947042