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2. Association between the C-reactive protein–albumin–lymphocyte index and metabolic syndrome: evidence from the 2003–2010 national health and nutrition examination survey.

Author

Wu, Lanlan, Han, Dunzheng, Xue, Yuting, He, Shangfei, Ma, Zhuang, Su, Shuwen, Li, Peixin, Liu, Shenrong, and Zhou, Haobin

Subjects
*NATIONAL Health & Nutrition Examination Survey, *METABOLIC syndrome, *QUALITY of life, *CONFOUNDING variables, *ODDS ratio
Abstract

Background: Metabolic syndrome (MetS) is a global public health problem that significantly impacts human health and quality of life. The relationship between MetS and the C-reactive protein–albumin–lymphocyte (CALLY) index is uncertain. Methods: This study analyzed the data of 7,534 individuals from the National Health and Nutrition Examination Survey cycles (2003–2010 cycles). Weighted logistic regression and weighted restricted cubic spline (RCS) curve analyses were used to identify the relationships between the CALLY index and MetS, as well as its components. Results: Of the 7,534 participants, 2,086 were diagnosed with MetS. The estimated prevalence of MetS decreased with an increase in the CALLY index (P < 0.001). Multivariable logistic regression analysis showed that the odds ratio of MetS was 0.25 (95% confidence interval 0.20–0.32, P < 0.001) in the highest CALLY index quartile compared with the lowest quartile after adjusting for confounding variables. The RCS curve analysis revealed non-linear relationships between the CALLY index and MetS or its components. Conclusions: This study revealed an inverse relationship between the CALLY index and MetS risk. The CALLY index might be valuable for identifying individuals who are at a high risk of MetS. Clinical trial number: Not applicable. [ABSTRACT FROM AUTHOR]

Published
2025
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6. Triglyceride-Glucose Index and Homeostasis Model Assessment-Insulin Resistance in Young Adulthood and Risk of Incident Congestive Heart Failure in Midlife: The Coronary Artery Risk Development in Young Adults Study

Author

Zeng, Xianghui, Han, Dunzheng, Zhou, Haobin, Xue, Yuting, Wang, Xiao, Zhan, Qiong, Bai, Yujia, Huang, Xingfu, Zeng, Qingchun, Zhang, Hao, Ma, Zhuang, Ren, Hao, and Xu, Dingli

Subjects
Cardiology and Cardiovascular Medicine
Abstract

ObjectiveThis study aimed to assess the association between triglyceride-glucose (TyG) index/homeostasis model assessment-insulin resistance (HOMA-IR) within young adults and congestive heart failure (CHF), and to explore whether TyG index can replace HOMA-IR as a surrogate marker for IR in predicting the risk of CHF.MethodsA total of 4,992 participants between the ages of 18 and 30 years were enrolled from the Coronary Artery Risk Development in Young Adults (CARDIA) investigation [from 1985 to 1986 (year 0)]. A Cox proportional hazard regression analysis was conducted for assessing correlations between baseline TyG index/HOMA-IR and CHF events, together with the receiver operating characteristic (ROC) curve employed for scrutinizing TyG index/HOMA-IR and the risk of CHF.ResultsDuring the 31-year follow-up period, 64 (1.3%) of the 4,992 participants developed CHF. In multivariable Cox proportional hazards models, adjusted for confounding factors for CHF, an increased risk of CHF was associated with a per-unit increase in the TyG index [hazard ratio (HR) 2.8; 95% confidence interval (CI), 1.7–4.7] and HOMA-IR (HR 1.2; 95% CI, 1.1–1.3). A Kaplan–Meier curve analysis showed that participants in the TyG index and HOMA-IR index Q4 group had a higher risk of CHF than those in the Q1 group. The area under curve (AUC) for the TyG index and HOMA-IR consisted of 0.67 (95% CI, 0.6–0.742) and 0.675 (95% CI, 0.604–0.746), respectively. There were no significant differences between the TyG index and HOMA-IR for AUC (p = 0.986).ConclusionThe higher TyG index and HOMA-IR are independent risk factors for CHF. The TyG index can replace HOMA-IR in young adulthood as a surrogate marker for IR to predict the risk of CHF.

Published
2022
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7. LncRNA Chaer Prevents Cardiomyocyte Apoptosis From Acute Myocardial Infarction Through AMPK Activation

Author

He, Zhiyu, primary, Zeng, Xiaojun, additional, Zhou, Deke, additional, Liu, Peiying, additional, Han, Dunzheng, additional, Xu, Lingling, additional, Bu, Tong, additional, Wang, Jinping, additional, Ke, Mengmeng, additional, Pan, Xiudi, additional, Du, Yipeng, additional, Xue, Hao, additional, Lu, Dongfeng, additional, and Luo, Bihui, additional

Published
2021
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9. Visualization and Identification of Bioorthogonally Labeled Exosome Proteins Following Systemic Administration in Mice

Author

Zhang, Eric, primary, Liu, Yanwen, additional, Han, Chaoshan, additional, Fan, Chengming, additional, Wang, Lu, additional, Chen, Wangping, additional, Du, Yipeng, additional, Han, Dunzheng, additional, Arnone, Baron, additional, Xu, Shiyue, additional, Wei, Yuhua, additional, Mobley, James, additional, and Qin, Gangjian, additional

Published
2021
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10. Ablation of lncRNA Miat attenuates pathological hypertrophy and heart failure

Author

Yang, Liu, primary, Deng, Jianxin, additional, Ma, Wenxia, additional, Qiao, Aijun, additional, Xu, Shiyue, additional, Yu, Yang, additional, Boriboun, Chan, additional, Kang, Xiang, additional, Han, Dunzheng, additional, Ernst, Patrick, additional, Zhou, Lufang, additional, Shi, Jiawei, additional, Zhang, Eric, additional, Li, Tao-Sheng, additional, Qiu, Hongyu, additional, Nakagawa, Shinichi, additional, Blackshaw, Seth, additional, Zhang, Jianyi, additional, and Qin, Gangjian, additional

Published
2021
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13. Analysis of mesenchymal stem cell proteomes in situ in the ischemic heart

Author

Han, Dunzheng, primary, Yang, Junjie, additional, Zhang, Eric, additional, Liu, Yanwen, additional, Boriboun, Chan, additional, Qiao, Aijun, additional, Yu, Yang, additional, Sun, Jiacheng, additional, Xu, Shiyue, additional, Yang, Liu, additional, Yan, Wenying, additional, Luo, Bihui, additional, Lu, Dongfeng, additional, Zhang, Chunxiang, additional, Jie, Chunfa, additional, Mobley, James, additional, Zhang, Jianyi, additional, and Qin, Gangjian, additional

Published
2020
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