Monocyte to HDL cholesterol ratio predicts obesity-associated cardiac dysfunction

Chunsheng Zhao , Jinting Liu , Jiaqi Zhao , Chao Wang , Hui Bai , Qing Yang , Jingjing Ben , Xudong Zhu , Xiaoyu Li , Bin Jiang , Kai Li , Runfeng Sun , Xuexing Ma , Liansheng Wang , Hanwen Zhang , Qi Chen

Journal of Biomedical Research ›› 2026, Vol. 40 ›› Issue (1) : 32 -44.

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Journal of Biomedical Research ›› 2026, Vol. 40 ›› Issue (1) :32 -44. DOI: 10.7555/JBR.38.20240432
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Monocyte to HDL cholesterol ratio predicts obesity-associated cardiac dysfunction
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Abstract

As the prevalence of obesity increases dramatically, obesity-associated cardiac dysfunction constitutes a considerable challenge to human health. This study aimed to identify more useful lipid/inflammatory markers to predict the risk of obesity-associated cardiac dysfunction. By retrospectively analyzing the clinical characteristics of 5648 cardiac disease patients, we found that both the plasma level of high-density lipoprotein cholesterol (HDL-C) and the blood monocyte count were significantly associated with impairment of the left ventricular ejection fraction (LVEF). Univariate and multivariate regression analyses revealed that the monocyte to HDL-C ratio (MHR) was a more powerful predictor of the risk of LVEF decline than either HDL-C or monocyte alone. Mediation analysis further revealed a mediating effect of a high MHR on the decline in obesity-associated cardiac systolic function. Collectively, our results demonstrate a superior role of MHR in predicting the risk of an obesity-associated decline in cardiac systolic function among routine metabolic/inflammatory markers.

Keywords

cardiac dysfunction / obesity / monocyte to HDL-C ratio / left ventricular ejection fraction

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Chunsheng Zhao, Jinting Liu, Jiaqi Zhao, Chao Wang, Hui Bai, Qing Yang, Jingjing Ben, Xudong Zhu, Xiaoyu Li, Bin Jiang, Kai Li, Runfeng Sun, Xuexing Ma, Liansheng Wang, Hanwen Zhang, Qi Chen. Monocyte to HDL cholesterol ratio predicts obesity-associated cardiac dysfunction. Journal of Biomedical Research, 2026, 40(1): 32-44 DOI:10.7555/JBR.38.20240432

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Funding

This work was supported by grants from the National Natural Science Foundation of China (Grant Nos. 82430018 to Q.C., 82270361 and 82570402 to H.Z.), the Nanjing Medical University Undergraduate Innovation and Entrepreneurship Training Program Fund (Grant No. 202410312138Y to C.Z.), and the Basic Sciences of Jiangsu Higher Education Institutions (Grant No. 22KJA310002 to H.Z.)

Acknowledgments

None.

Additional information

The online version contains supplementary materials available at http://www.jbr-pub.org.cn/article/doi/10.7555/JBR.38.20240432?pageType=en.

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