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Zhang W, Huo W, Hu H, Li T, Yuan L, Zhang J, Feng Y, Wu Y, Fu X, Ke Y, Wang M, Wang L, Chen Y, Gao Y, Li X, Sun L, Pang J, Zheng Z, Hu F, Zhang M, Liu Y, Hu D, Zhao Y. Dose-response associations of triglyceride to high-density lipoprotein cholesterol ratio and triglyceride-glucose index with arterial stiffness risk. Lipids Health Dis 2024; 23:115. [PMID: 38643148 PMCID: PMC11031917 DOI: 10.1186/s12944-024-02095-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/27/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride-glucose (TyG) index are novel indexes for insulin resistance (IR). We aimed to evaluate associations of TG/HDL-C and TyG with arterial stiffness risk. METHODS We enrolled 1979 participants from the Rural Chinese Cohort Study, examining arterial stiffness by brachial-ankle pulse wave velocity (baPWV). Logistic and linear regression models were employed to calculate effect estimates. For meta-analysis, we searched relevant articles from PubMed, Embase and Web of Science up to August 26, 2023. The fixed-effects or random-effects models were used to calculate the pooled estimates. We evaluated dose-response associations using restricted cubic splines. RESULTS For cross-sectional studies, the adjusted ORs (95%CIs) for arterial stiffness were 1.12 (1.01-1.23) and 1.78 (1.38-2.30) for per 1 unit increment in TG/HDL-C and TyG. In the meta-analysis, the pooled ORs (95% CIs) were 1.26 (1.14-1.39) and 1.57 (1.36-1.82) for per 1 unit increment of TG/HDL-C and TyG. Additionally, both TG/HDL-C and TyG were positively related to PWV, with β of 0.09 (95% CI 0.04-0.14) and 0.57 (95% CI 0.35-0.78) m/s. We also found linear associations of TG/HDL-C and TyG with arterial stiffness risk. CONCLUSIONS High TG/HDL-C and TyG were related to increased arterial stiffness risk, indicating TG/HDL-C and TyG may be convincing predictors of arterial stiffness.
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Affiliation(s)
- Wenkai Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Weifeng Huo
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xueru Fu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yamin Ke
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Mengmeng Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Longkang Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yaobing Chen
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yajuan Gao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xi Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Liang Sun
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People's Republic of China
| | - Jinyuan Pang
- Department of Preventive Medicine, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Zeqiang Zheng
- Department of Preventive Medicine, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, school of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
- Guangdong provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, school of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
- Guangdong provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yu Liu
- Department of General Practice, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
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Guo M, Li M, Cui F, Ding X, Gao W, Fang X, Chen L, Wang H, Niu P, Ma J. MTBE exposure may increase the risk of insulin resistance in male gas station workers. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:334-343. [PMID: 38168809 DOI: 10.1039/d3em00491k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Insulin resistance is closely related to many metabolic diseases and has become a serious public health problem worldwide. So, it is crucial to find its environmental pathogenic factors. Methyl tert-butyl ether (MTBE), a widely used unleaded gasoline additive, has been proven to affect glycolipid metabolism. However, results from population studies are lacking. For this purpose, the potential relationships between MTBE exposure and the triglyceride glucose (TyG) index, a useful surrogate marker of insulin resistance, were evaluated using a small-scale occupational population. In this study, 201 participants including occupational and non-occupational MTBE exposure workers were recruited from the Occupational Disease Prevention and Control Hospital of Huaibei, and their health examination information and blood samples with informed consent were collected. The internal exposure levels were assessed by detecting blood MTBE using solid-phase-micro-extraction gas chromatography-mass spectrometry. Then the adjusted linear regression model was used to assess the relationship between MTBE exposure and fasting plasma glucose (FPG), or TyG index. Then, receiver-operating-characteristic (ROC) curves were performed to calculate the optimal cut-off points. Multivariable and hierarchical logistic regression models were used to analyze the impact of MTBE exposure on the risk of insulin resistance. Obvious correlations were observed between blood MTBE levels with TyG index (p = 0.016) and FPG (p = 0.001). Further analysis showed that using the mean of the TyG index (8.77) as a cutoff value had a good effect on reflecting the risk of insulin resistance. Multivariable logistic regression analysis also indicated that MTBE exposure was an independent risk factor for a high TyG index (OR = 1.088, p = 0.038), which indicated that MTBE exposure might be a new environmental pathogenic factor leading to insulin resistance, and MTBE exposure might increase the risk of insulin resistance by independently elevating the TyG index in male gas station workers.
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Affiliation(s)
- Mingxiao Guo
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Mengdi Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Fengtao Cui
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Xinping Ding
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Wei Gao
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Xingqiang Fang
- Occupational Disease Prevention and Control Hospital of Huaibei Mining Co., Ltd, Huaibei, Anhui Province, 235000, China
| | - Li Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Hanyun Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Piye Niu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Junxiang Ma
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
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Liu F, Ling Q, Xie S, Xu Y, Liu M, Hu Q, Ma J, Yan Z, Gao Y, Zhao Y, Zhu W, Yu P, Luo J, Liu X. Association between triglyceride glucose index and arterial stiffness and coronary artery calcification: a systematic review and exposure-effect meta-analysis. Cardiovasc Diabetol 2023; 22:111. [PMID: 37179288 PMCID: PMC10183133 DOI: 10.1186/s12933-023-01819-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/30/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND The triglyceride and glucose (TyG) index has been linked to various cardiovascular diseases. However, it's still unclear whether the TyG index is associated with arterial stiffness and coronary artery calcification (CAC). METHODS We conducted a systematic review and meta-analysis of relevant studies until September 2022 in the PubMed, Cochrane Library, and Embase databases. We used a random-effects model to calculate the pooled effect estimate and the robust error meta-regression method to summarize the exposure-effect relationship. RESULTS Twenty-six observational studies involving 87,307 participants were included. In the category analysis, the TyG index was associated with the risk of arterial stiffness (odds ratio [OR]: 1.83; 95% CI 1.55-2.17, I2 = 68%) and CAC (OR: 1.66; 95% CI 1.51-1.82, I2 = 0). The per 1-unit increment in the TyG index was also associated with an increased risk of arterial stiffness (OR: 1.51, 95% CI 1.35-1.69, I2 = 82%) and CAC (OR: 1.73, 95% CI 1.36-2.20, I2 = 51%). Moreover, a higher TyG index was shown to be a risk factor for the progression of CAC (OR = 1.66, 95% CI 1.21-2.27, I2 = 0, in category analysis, OR = 1.47, 95% CI 1.29-1.68, I2 = 41% in continuity analysis). There was a positive nonlinear association between the TyG index and the risk of arterial stiffness (Pnonlinearity < 0.001). CONCLUSION An elevated TyG index is associated with an increased risk of arterial stiffness and CAC. Prospective studies are needed to assess causality.
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Affiliation(s)
- Fuwei Liu
- Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
| | - Qin Ling
- Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Shaofeng Xie
- Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
| | - Yi Xu
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Menglu Liu
- Department of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Qingwen Hu
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Jianyong Ma
- Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Zhiwei Yan
- Department of Sports Rehabilitation, College of Human Kinesiology, Shenyang Sport University, Shenyang, China
- Provincial University Key Laboratory of Sport and Health Science, School of Physical Education and Sport Sciences, Fujian Normal University, Fuzhou, Fujian, China
| | - Yan Gao
- Department of Sports Rehabilitation, College of Human Kinesiology, Shenyang Sport University, Shenyang, China
| | - Yujie Zhao
- Department of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Wengen Zhu
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Peng Yu
- Department of Endocrine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jun Luo
- Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China.
| | - Xiao Liu
- Department of Cardiology, The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
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Zhong H, Shao Y, Guo G, Zhan Y, Liu B, Shao M, Li L. Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis. Medicine (Baltimore) 2023; 102:e33194. [PMID: 36897703 PMCID: PMC9997783 DOI: 10.1097/md.0000000000033194] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/14/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Studies have shown a strong association between the triglyceride-glucose (TyG) index, a simple marker of insulin resistance, and various metabolic diseases. We performed a systematic review of the interaction between the TyG index and arterial stiffness. METHODS Relevant observational studies assessing the association between the TyG index and arterial stiffness were thoroughly searched in PubMed, Embase, and Scopus, and a manual search of the preprint server was conducted. A random-effects model was utilized to analyze the data. The risk of bias for the included studies was assessed using the Newcastle-Ottawa Scale. A pooled effect size estimate with a random-effects model was used for the meta-analysis. RESULTS Thirteen observational studies comprising 48,332 subjects were included. Of these, 2 were prospective cohort studies, and the remaining 11 were cross-sectional studies. According to the results of the analysis, the risk of developing high arterial stiffness was 1.85 times greater for those in the highest TyG index subgroup versus the lowest group (risk ratio [RR]: 1.85, 95% confidence interval: 1.54-2.33, I2 = 70%, P < .001). Consistent results were observed when the index was analyzed as a continuous variable (RR: 1.46, 95% confidence interval: 1.32-1.61, I2 = 77%, P < .001). A sensitivity analysis excluding each of the studies one by one yielded similar results (RRs for categorical variables: 1.67-1.94, P all <.001; RRs for continuous variables: 1.37-1.48, P all <.001). A subgroup analysis showed that different characteristics of the study subjects, such as type of study design, age, population, disease status, (including hypertension and diabetes), and pulse wave velocity measurement methods had no substantial effect on the results (P for subgroup analysis, all >0.05). CONCLUSIONS A relatively high TyG index might be linked to an increased incidence of arterial stiffness.
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Affiliation(s)
- Huiqin Zhong
- Department of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Ya Shao
- Sino-Canada Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Guangling Guo
- Sino-Canada Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yan Zhan
- Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Bin Liu
- Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Meiling Shao
- Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Longti Li
- Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
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