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Cao T, Ni X, Halengbieke A, Tang J, Han Y, Sun F, Gao B, Zheng D, Yan Y, Yang X. Effects of the triglyceride-glucose index on non-alcoholic fatty liver disease: Causal evidence from longitudinal cohort studies. Arch Gerontol Geriatr 2025; 133:105813. [PMID: 40073798 DOI: 10.1016/j.archger.2025.105813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 02/08/2025] [Accepted: 03/02/2025] [Indexed: 03/14/2025]
Abstract
BACKGROUND Insulin resistance (IR) is strongly related to non-alcoholic fatty liver disease (NAFLD). Triglyceride-glucose (TyG) index serves as a novel substitute indicator for IR. However, research on the effect of TyG index on NAFLD remains sparse. This study aims to investigate the causal association between TyG index and incident NAFLD. METHODS The primary cohort consisted of 27,052 participants from the Beijing Health Management Cohort, while the external validation cohort included 75,023 participants from the Taiwan MJ Cohort. Entropy balancing for continuous treatments (EBCT) combined with logistic regression and targeted maximum likelihood estimation (TMLE) were used to evaluate the causal association between the TyG index and incident NAFLD. RESULTS During a median follow-up of 2.49 years in the primary cohort, 6,168 participants (median age: 36.0 years) developed incident NAFLD. EBCT combined with logistic regression revealed the odds ratio (95 % CI) of NAFLD risk was 1.742 (1.478-2.054) for each 1-unit increase in the baseline TyG index. In the TMLE model, the risk ratio (95 % CI) for NAFLD was 1.540 (1.406-1.687) in the Q4 (quartile 4) group compared with the Q1 group. These findings were consistent with those from the external validation cohort, reinforcing the robustness of the causal relationship between the TyG index and NAFLD incidence. CONCLUSIONS The advanced double-robust estimation method suggests that a higher baseline TyG index may be causally associated with an increased NAFLD risk, providing more reliable evidence for its role as a simple biomarker and demonstrating the utility of double-robust estimation causal inference models in epidemiology.
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Affiliation(s)
- Tengrui Cao
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Xuetong Ni
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Aheyeerke Halengbieke
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Jianmin Tang
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Yumei Han
- Science and Education Section, Beijing Physical Examination Center, No. 59, Beiwei Road, Xicheng District, Beijing 100050, China.
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Bo Gao
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Deqiang Zheng
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Yuxiang Yan
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
| | - Xinghua Yang
- School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China.
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Li M, Wan Y, Wei Z, Lin W. Comparison of the predictive value of TyG index and METS-IR for OSA combined with NAFLD: a retrospective observational study based on a physical examination population. BMC Gastroenterol 2025; 25:279. [PMID: 40259241 PMCID: PMC12013029 DOI: 10.1186/s12876-025-03856-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Accepted: 04/04/2025] [Indexed: 04/23/2025] Open
Abstract
BACKGROUND Obstructive sleep apnoea (OSA), Non-alcoholic fatty liver disease (NAFLD) and insulin resistance (IR) are interlinked. The aim of our study was to investigate the predictive value of metabolic score for insulin resistance (METS-IR) and triglyceride-glucose(TyG) index in relation to OSA combined with NAFLD in physical examination population. METHODS This is a retrospective observational study. 329 physical examiners who attended the healthcare centre of the First Affiliated Hospital of Wenzhou Medical University for polysomnography and abdominal ultrasonography (or CT abdominal scanning) from September 2021 to July 2024. Subjects were categorized into two groups according to the presence or absence of combined NAFLD. Logistic regression analysis and restricted cubic spline model (RCS) were used to evaluate the relationship between TyG index and METS-IR and NAFLD. The predictive value of TyG index and METS-IR for NAFLD was determined by receiver operating characteristic curves (ROC curves). RESULTS A total of 329 subjects were analyzed. The prevalence of NAFLD increased with increasing TyG index (P for trend < 0.001), and METS-IR showed an increasing-decreasing-increasing trend with NAFLD risk (P for trend < 0.001). RCS analysis showed a dose-response relationship between NAFLD risk and METS-IR (p = 0.012) and a linear relationship with the TyG index (p = 0.078), with a significant increase in the risk of NAFLD when the METS-IR exceeded a threshold of 47.47 (OR = 1). Compared with TyG index (AUC = 0.775, 95% CI: 0.711-0.828), METS-IR (AUC = 0.778, 95% CI: 0.716-0.836) had a higher predictive value for NAFLD in the OSA physical examination population. CONCLUSIONS In the OSA population, TyG index and METS-IR had predictive value for the development of NAFLD, with METS-IR being superior to TyG index.
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Affiliation(s)
- Min Li
- First Clinical School of Medicine (School of Information and Engineering), Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yujing Wan
- First Clinical School of Medicine (School of Information and Engineering), Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ziyue Wei
- First Clinical School of Medicine (School of Information and Engineering), Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weihong Lin
- Department of Healthcare Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
- Wenzhou Key Laboratory of Intelligent Prevention and Active Health for Aging-Related Chronic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
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Li Y, Pan T, Wang Y, Wang G, Wang F. The predictive value of triglyceride-glucose-high density lipoprotein-body mass index (TGH-BMI) for different degrees of hepatic steatosis and liver fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD). Clin Nutr ESPEN 2025; 66:290-301. [PMID: 39863255 DOI: 10.1016/j.clnesp.2025.01.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 12/22/2024] [Accepted: 01/15/2025] [Indexed: 01/27/2025]
Abstract
BACKGROUND & AIMS The triglyceride-glucose index (TyG) and triglyceride-glucose body mass index (TyG-BMI) have been identified as potential predictive factors for metabolic dysfunction-associated steatotic liver disease (MASLD). However, they do not include high density lipoprotein (HDL-C), which is closely related to lipid metabolism. Furthermore, there is a lack of comprehensive and longitudinal data to determine the cut-off points for different degrees of hepatic steatosis and liver fibrosis in MASLD. This study aimed to investigate the predictive capability of triglyceride-glucose-high density lipoprotein-body mass index (TGH-BMI) in determining hepatic steatosis and liver fibrosis in MASLD, as well as to establish the predictive cut-off points. METHODS We analyzed the relationships of TGH-BMI (TGH-BMI = ln [TG (mg/dL) ∗FBG (mg/dL)/HDL-C (mg/dL)] ∗ BMI (kg/m2)) with different degrees of hepatic steatosis and fibrosis in 35,114 participants who underwent health check-ups. A total of 2262 subjects without MASLD were selected for the analysis of cumulative hazard of hepatic steatosis and liver fibrosis in TGH-BMI dichotomous groups over a follow-up period of 1001 days. RESULTS Controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) demonstrated a consistent upward trend as TGH-BMI increased across quartile groups, as determined by One-way analysis of variance (P < 0.001). TGH-BMI and CAP, LSM exhibit distinct curve-like relationships between males and females when utilizing smoothing functions and conducting threshold effect analysis (P < 0.05). In males, prior to the inflection point at TGH-BMI = 177.733, there was a significant increase of 0.807 in CAP for every 1 unit increase in TGH-BMI (P < 0.05), after the inflection point, there was still an increase of 0.417 in CAP for every 1 unit increase in TGH-BMI (P < 0.05); There was no significant correlation between LSM and TGH-BMI before the first inflection point at TGH-BMI = 131.689 (P > 0.05) and after the second inflection point at TGH-BMI = 253.268 (P > 0.05). Between the first and the second inflection, LSM showed an increase of 0.015 for every 1 unit increase in TGH-BMI (P < 0.05). In females, before the inflection point at TGH-BMI = 94.686, there was a significant increase of 0.272 in CAP for every 1 unit increase in TGH-BMI (P < 0.05), after the inflection point, there was a notable change as CAP increased by 0.806 for every 1 unit increase in TGH-BMI (P < 0.05). There was no significant correlation between LSM and TGH-BMI before the inflection point at TGH-BMI = 118.098 (P > 0.05), after the inflection point, LSM showed an increase of 0.017 for every 1 unit increase in TGH-BMI (P < 0.05). Notably, TGH-BMI has been shown to be a strong predictor for the severity of hepatic steatosis and liver fibrosis in MASLD. The Area Under Curves (AUCs) for hepatic steatosis, moderate or above hepatic steatosis, severe hepatic steatosis and liver fibrosis in males were 0.845, 0.846, 0.882 and 0.668 respectively, the AUCs for hepatic steatosis, moderate or above hepatic steatosis, severe hepatic steatosis and liver fibrosis in females were 0.855, 0.895, 0.939 and 0.705 respectively (P < 0.05). In individuals without MASLD, the cumulative hazard of hepatic steatosis was found to be strongly associated with the dichotomy of increased TGH-BMI (TGH-BMID2: Hazard Ratio (HR) = 2.412, 95 % Confidence interval (CI): 2.0164-2.9071, P < 0.0001), while the same is true in liver fibrosis (TGH-BMID2: HR = 1.454, 95 % CI: 1.0633-1.9883, P = 0.0191). CONCLUSIONS The TGH-BMI demonstrates a strong predictive value for hepatic steatosis and liver fibrosis, with significantly different cut-off points for men and women. Therefore, it is important to consider the potential need for gender-specific cut-off points for triglyceride, glucose, high density lipoprotein and body mass index in clinical practice. In individuals without MASLD, a higher TGH-BMI is associated with an increased risk of developing MASLD in the future.
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Affiliation(s)
- Ying Li
- Department of Endocrinology, Hefei City First People's Hospital, Hefei 230001, Anhui, China
| | - Tianrong Pan
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
| | - Yue Wang
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, Anhui, China
| | - Guojuan Wang
- Department of Endocrinology, Hefei City First People's Hospital, Hefei 230001, Anhui, China
| | - Fang Wang
- Department of the Health Management Center, The First Affiliated Hospital of USTC: Anhui Provincial Hospital, Hefei 230001, Anhui, China.
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Xu J, Li Y, Feng Z, Chen H. Cigarette Smoke Contributes to the Progression of MASLD: From the Molecular Mechanisms to Therapy. Cells 2025; 14:221. [PMID: 39937012 PMCID: PMC11816580 DOI: 10.3390/cells14030221] [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: 12/11/2024] [Revised: 01/22/2025] [Accepted: 01/31/2025] [Indexed: 02/13/2025] Open
Abstract
Cigarette smoke (CS), an intricate blend comprising over 4000 compounds, induces abnormal cellular reactions that harm multiple tissues. Non-alcoholic fatty liver disease (NAFLD) is a prevalent chronic liver disease (CLD), encompassing non-alcoholic fatty liver (NAFL), non-alcoholic steatohepatitis (NASH), cirrhosis, and hepatocellular carcinoma (HCC). Recently, the term NAFLD has been changed to metabolic dysfunction-associated steatotic liver disease (MASLD), and NASH has been renamed metabolic dysfunction-associated steatohepatitis (MASH). A multitude of experiments have confirmed the association between CS and the incidence and progression of MASLD. However, the specific signaling pathways involved need to be updated with new scientific discoveries. CS exposure can disrupt lipid metabolism, induce inflammation and apoptosis, and stimulate liver fibrosis through multiple signaling pathways that promote the progression of MASLD. Currently, there is no officially approved efficacious pharmaceutical intervention in clinical practice. Therefore, lifestyle modifications have emerged as the primary therapeutic approach for managing MASLD. Smoking cessation and the application of a series of natural ingredients have been shown to ameliorate pathological changes in the liver induced by CS, potentially serving as an effective approach to decelerating MASLD development. This article aims to elucidate the specific signaling pathways through which smoking promotes MASLD, while summarizing the reversal factors identified in recent studies, thereby offering novel insights for future research on and the treatment of MASLD.
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Affiliation(s)
- Jiatong Xu
- Queen Mary School, Medical College, Nanchang University, Nanchang 330006, China; (J.X.); (Y.L.); (Z.F.)
| | - Yifan Li
- Queen Mary School, Medical College, Nanchang University, Nanchang 330006, China; (J.X.); (Y.L.); (Z.F.)
| | - Zixuan Feng
- Queen Mary School, Medical College, Nanchang University, Nanchang 330006, China; (J.X.); (Y.L.); (Z.F.)
| | - Hongping Chen
- Department of Histology and Embryology, Jiangxi Medical College, Nanchang University, Nanchang 330019, China
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Nayak SS, Kuriyakose D, Polisetty LD, Patil AA, Ameen D, Bonu R, Shetty SP, Biswas P, Ulrich MT, Letafatkar N, Habibi A, Keivanlou MH, Nobakht S, Alotaibi A, Hassanipour S, Amini-Salehi E. Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis. Cardiovasc Diabetol 2024; 23:310. [PMID: 39180024 PMCID: PMC11344391 DOI: 10.1186/s12933-024-02392-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 08/05/2024] [Indexed: 08/26/2024] Open
Abstract
OBJECTIVE The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings. METHODS A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software. RESULTS A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85). CONCLUSION The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.
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Affiliation(s)
- Sandeep Samethadka Nayak
- Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New Heaven, Bridgeport, CT, USA
| | - Dona Kuriyakose
- St. Joseph's Mission Hospital, Kollam District, Anchal, Kerala, India
| | - Lakshmi D Polisetty
- Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New Heaven, Bridgeport, CT, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, John Dempsey Hospital, University of Connecticut, Bridgeport, CT, USA
| | - Anjali Avinash Patil
- Rajarshee Chhatrapati Shahu Maharaj Government Medical College Kolhapur Shenda park, Kolhapur, Maharashtra, India
| | - Daniyal Ameen
- Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New Heaven, Bridgeport, CT, USA
| | - Rakshita Bonu
- Vydehi Institute of Medical Sciences and Research Centre, Bengaluru. 82, Nallurahalli Main Road, Whitefield, Bengaluru, Karnataka, India
| | - Samatha P Shetty
- Director of Capacity Management, NYC Health Hospitals, Elmhurst, USA
| | - Pubali Biswas
- Vydehi Institute of Medical Sciences and Research Centre, Bengaluru. 82, Nallurahalli Main Road, Whitefield, Bengaluru, Karnataka, India
| | - Micheal T Ulrich
- Riverside University Health System Medical Center, Moreno Valley, CA, USA
| | | | - Arman Habibi
- Guilan University of Medical Sciences, Rasht, Iran
| | | | - Sara Nobakht
- Guilan University of Medical Sciences, Rasht, Iran
| | | | - Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, P.O. Box: 41448-95655, Rasht, Iran
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Ning Q, Zheng K, Yan J, Zhu C. Triglyceride glucose index as a predictor for non-alcoholic fatty liver disease: insights from a longitudinal analysis in non-obese individuals. Front Med (Lausanne) 2024; 11:1429413. [PMID: 39040897 PMCID: PMC11260781 DOI: 10.3389/fmed.2024.1429413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 06/27/2024] [Indexed: 07/24/2024] Open
Abstract
Background A substantial portion of non-obese population is afflicted with Non-alcoholic Fatty Liver Disease (NAFLD). The Triglyceride Glucose (TyG) index, a quantifier of insulin resistance magnitude, is determined by the product of fasting plasma glucose and triglyceride concentrations. The relationship between the TyG index and NAFLD within this cohort remains ambiguous. Methods We conducted a retrospective analysis utilizing datasets acquired from the Dryad digital repository. Non-obese participants (BMI < 25 kg/m2) were enrolled at the Wenzhou Medical Center of Wenzhou People's Hospital between January 2010 and December 2014. Demographic information and biochemical parameters were systematically compiled, and the diagnosis of NAFLD was established through ultrasonographic evidence. Results This study cohort included 16,172 non-obese participants with a 5-year follow-up, among whom 2,322 (14.36%) developed NAFLD. The disparity between TyG index quartiles in the accumulative incidence of new-onset NAFLD was distinct, with an increasing risk of new-onset NAFLD as the TyG index increased. Participants in highest quartile exhibited the maximum risk of NAFLD. In the fully adjusted model 3, the hazard ratios for NAFLD in Q2, Q3, and Q4 were 2.15 (1.62, 2.87), 2.89 (2.20, 3.80) and 4.58 (3.48, 6.02), respectively. Meanwhile, the TyG index and NAFLD risk showed a highly significant overall correlation (p < 0.0001) and nonlinearity (p < 0.0001) according to the limited cubic splines. In subgroup analysis, a significant interaction was noted between new-onset NAFLD and SBP (<140 mmHg vs. ≥140 mmHg; P for interaction = 0.0114). The SBP < 140 mmHg subgroup demonstrated an enhanced TyG index influence on NAFLD risk (HR = 2.83, 95% CI: 2.48-3.23, p < 0.0001). Conclusion The TyG index serves as a straightforward instrument for assessing NAFLD risk in non-obese individuals, enabling prompt identification and management in this population segment.
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Affiliation(s)
- Qi Ning
- Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Keyang Zheng
- Center of Hypertension, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jiafu Yan
- Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Chao Zhu
- Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
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Rodríguez-Hernández H, Simental-Mendía LE. The triglycerides and glucose index is highly associated with non-alcoholic fatty liver disease in overweight and obese women. Ir J Med Sci 2023; 192:2741-2746. [PMID: 36928593 DOI: 10.1007/s11845-023-03335-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/03/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Although some previous studies have indicated that the triglycerides and glucose (TyG) index is associated with an increased risk of non-alcoholic fatty liver disease (NAFLD), there are still few studies in this field. AIMS The goal of this study was to assess whether the TyG index is associated with the presence of non-alcoholic fatty liver disease NAFLD in overweight and obese women. METHODS Overweight and obese women aged 20 to 65 years were enrolled in a cross-sectional study and allocated into the groups with and without NAFLD. Alcohol consumption, pregnancy, normal-weight, positive markers of viral or autoimmune hepatitis, acute or chronic liver disease, renal disease, cardiovascular disease, neoplasia, and intake of hepatotoxic drugs were exclusion criteria. The diagnosis of NAFLD was established by liver ultrasound and the TyG index was calculated as the Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)]/2. RESULTS A total of 420 participants were enrolled and allocated into the groups with (n = 212) and without (n = 208) NAFLD. In the overall population, the frequency of NAFLD was 50.4%. The logistic regression analysis adjusted by body mass index, waist circumference, and total body fat showed that total cholesterol (OR = 1.004; 95% CI: 1.000-1.007), triglycerides (OR = 1.002; 95% CI: 1.000-1.004), AST (OR = 1.19; 95% CI: 1.15-1.23), ALT (OR = 1.20; 95% CI: 1.15-1.25), and TyG index (OR = 3.15; 95% CI: 1.64-6.06) are significantly associated with NAFLD. CONCLUSIONS The results show that the TyG index is highly associated with the presence of NAFLD in women with overweight and obesity.
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Affiliation(s)
| | - Luis E Simental-Mendía
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Durango, Durango, México.
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Wang M, Chang M, Shen P, Wei W, Li H, Shen G. Application value of triglyceride-glucose index and triglyceride-glucose body mass index in evaluating the degree of hepatic steatosis in non-alcoholic fatty liver disease. Lipids Health Dis 2023; 22:186. [PMID: 37924128 PMCID: PMC10623715 DOI: 10.1186/s12944-023-01954-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND The elevation of TyG is considered an important factor in promoting the progression of non-alcoholic fatty liver disease (NAFLD), but its impact on the degree of liver steatosis remains unclear. This study aims to explore the relationship between TyG and TyG-related indices, such as triglyceride glucose-body mass index (TyG-BMI), with the degree of liver fat accumulation. METHODS From January 2021 to March 2022, 1171 participants underwent health check-ups, and all underwent FibroScan transient elastography. The analysis focused on identifying the factors that contribute to the onset of NAFLD and the degree of hepatic steatosis. RESULTS The predictive value of TyG-BMI (OR = 1.039, 95% CI 1.031-1.046) in triggering NAFLD development was greater than that of TyG alone. The areas under the curve for TyG-BMI and TyG were calculated at 0.808 and 0.720, respectively. TyG-BMI (OR = 1.034, P < 0.001) was identified as a main independent factor affecting hepatic steatosis severity. With each incremental increase in TyG-BMI, the likelihood of experiencing an increase in the extent of hepatic steatosis was 1.034 times higher than that of the preceding unit. CONCLUSIONS The TyG-BMI showed higher accuracy in predicting NAFLD than did the TyG, and was more closely linked to the severity of hepatic steatosis. Therefore, it can be included as a parameter in health management centers and should be widely used to screen and evaluate patients with NAFLD.
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Affiliation(s)
- Mengyuan Wang
- Department of Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Mingxing Chang
- Department of Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Peipu Shen
- Department of Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Wei Wei
- Department of Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Huayao Li
- Department of Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Guifang Shen
- Department of Health Management Center, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
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Moriyama K, Inoue N, Imai J, Masuda Y, Yamada C, Kishimoto N, Takashimizu S, Kubo A, Nishizaki Y. Prediction and Validation of Metabolic Dysfunction-Associated Fatty Liver Disease Using Insulin Resistance-Related Indices in the Japanese Population. Metab Syndr Relat Disord 2023; 21:489-496. [PMID: 37878804 DOI: 10.1089/met.2023.0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2023] Open
Abstract
Background: Recently, metabolic dysfunction-associated fatty liver disease (MAFLD), which is based on evidence of hepatic steatosis and any of the following three conditions: overweight/obesity, presence of type 2 diabetes mellitus, or evidence of metabolic dysregulation, has been proposed. It is uncertain how indices that predict insulin resistance (IR) are associated with MAFLD. Methods: Among subjects who had undergone health examinations at our hospital, 1,257 (787 men and 474 women) who underwent fatty liver evaluation, were included in this cross-sectional study. The discriminatory ability of each index for MAFLD was tested using a receiver operating characteristic curve analysis. The associations between the homeostasis model assessment-IR (HOMA-IR), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, triglyceride-glucose (TyG) index, and MAFLD were investigated using multiple logistic regression analysis. Results: The mean age and body mass index of MAFLD subjects were 58.1 years and 26.0 kg/m2 in men and 63.0 years and 26.1 kg/m2 in women, respectively. The cutoff values of HOMA-IR, TG/HDL-C ratio, and TyG index in men and women were 1.40 (area under the curve [AUC]: 0.81) and 1.90 (AUC: 0.88); 1.56 (AUC: 0.75) and 1.06 (AUC: 0.78); and 8.62 (AUC: 0.75) and 8.45 (AUC: 0.80), respectively. All indices were significantly higher in both men and women with MAFLD. In the multivariate models, the odds of MAFLD were higher among both men and women in the highest tertile than those in the lowest tertile. When subjects were divided by sex, presence of MAFLD, and alanine aminotransferase (ALT) values, all indices were significantly higher in both men and women with high ALT levels who were diagnosed with MAFLD. Conclusion: IR strongly correlated with MAFLD, particularly in subjects with high ALT levels.
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Affiliation(s)
- Kengo Moriyama
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Hachioji Hospital, Tokyo, Japan
| | - Nagamu Inoue
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Hachioji Hospital, Tokyo, Japan
| | - Jin Imai
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Hospital, Kanagawa, Japan
| | - Yumi Masuda
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Chizumi Yamada
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Noriaki Kishimoto
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Shinji Takashimizu
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Hospital, Kanagawa, Japan
| | - Akira Kubo
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Yasuhiro Nishizaki
- Department of Clinical Health Science, Tokai University School of Medicine, Tokai University Hospital, Kanagawa, Japan
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10
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Li W, Wang Y, He F, Liu Z, Dong J, Zhang Y, Li T, Liu S, Chen E. Association between triglyceride-glucose index and nonalcoholic fatty liver disease in type 2 diabetes mellitus. BMC Endocr Disord 2022; 22:261. [PMID: 36289536 PMCID: PMC9597972 DOI: 10.1186/s12902-022-01172-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/24/2022] [Accepted: 10/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Lipid and glucose metabolism abnormalities are associated with nonalcoholic fatty liver disease (NAFLD). The triglyceride-glucose (TyG) index is a recently developed indicator that can identify individuals at risk for NAFLD. However, the applicability of the TyG index for identifying NAFLD in patients with type 2 diabetes mellitus (T2DM) is unclear. The aim of this study was to investigate the ability of the TyG index to identify individuals at risk for NAFLD in the T2DM population. METHODS A total of 2280 participants with T2DM were recruited in this cross-sectional study. The TyG index was calculated, and NAFLD was diagnosed by ultrasonography. Binary logistic regression models were used to evaluate the association of the TyG index, glycemic parameters and lipid parameters with NAFLD. RESULTS Logistic regression analysis showed that the TyG index was significantly associated with NAFLD in subjects with T2DM, the odds ratio (OR) were 3.27 (95% confidence interval [CI], 2.03-5.27; P < 0.001) for NAFLD in the highest TyG quartile after adjustment for known confounders. In stratified analysis, an elevated TyG index were more remarkably associated with NAFLD in younger patients (< 65 years; OR, 2.35; 95% CI, 1.83-3.02; P < 0.001), females (OR, 2.69; 95% CI, 1.67-4.32; P < 0.001), patients with BMI < 25 kg/m2 (OR, 2.80; 95% CI, 2.01-3.91; P < 0.0001), and with lower high-density lipoprotein cholesterol (< 1 mmol/L; OR, 2.76; 95% CI, 1.98-3.83; P < 0.001). CONCLUSION The TyG index is significantly associated with NAFLD and shows superior ability for identify NAFLD risk compared with other lipid and glycemic parameters in T2DM.
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Affiliation(s)
- Wei Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Yan Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Feng He
- Department of Biochemistry and Immunology, Capital Institute of Pediatrics, NO. 2, Yabao Road, Chaoyang District, 100020, Beijing, China
| | - Zhuo Liu
- Department of Biochemistry and Immunology, Capital Institute of Pediatrics, NO. 2, Yabao Road, Chaoyang District, 100020, Beijing, China
| | - Jie Dong
- Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China
| | - Yuqi Zhang
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Tianfang Li
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China
| | - Shengyun Liu
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China.
| | - En Chen
- Department of Laboratory Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan Province, China.
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11
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Insulin Resistance Markers to Detect Nonalcoholic Fatty Liver Disease in a Male Hispanic Population. Can J Gastroenterol Hepatol 2022; 2022:1782221. [PMID: 35966932 PMCID: PMC9365587 DOI: 10.1155/2022/1782221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/13/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is one of the leading causes of chronic liver disease and is closely associated with cardiometabolic disorders, being insulin resistance (IR) the common pathogenic mechanism. The triglycerides/glucose (TyG) index and triglycerides/HDL-c (TG/HDL) ratio are markers correlated with IR. We compared the capacity of these two indexes, alongside IR, to detect NAFLD. METHODS In a cross-sectional cohort study, we examined 263 active military personnel from the Colombian Air Force, aged between 29 and 54 years. Anthropometric measurements and biochemical determinations (glycemia, lipid profile, and insulin) were obtained, and ultrasound studies were performed to evaluate the presence of NAFLD. HOMA-IR index was calculated as (fasting insulin (µIU/mL) × fasting glucose (mmol/L)/22.5), the TyG index as Ln (triglycerides (mg/dL) × fasting glucose (mg/dL)/2), and the TG/HDL ratio as (triglycerides (mg/dL)/HDL-c (mg/dL)). RESULTS NAFLD ultrasound criteria were met in 70 individuals (26.6%). Subjects with NAFLD had significantly higher values of HOMA-IR (2.55 ± 1.36 vs. 1.51 ± 0.91), TyG (9.17 ± 0.53 vs. 8.7 ± 0.51), and TG/HDL (6.6 ± 4.54 vs. 3.52 ± 2.32) compared to those without NAFLD (p < 0.001). A TyG cutoff point of 8.92 showed an AUC of 0.731, while cutoff points of 3.83 for TG/HDL and 1.68 for HOMA-IR showed an AUC of 0.766 and 0.781, respectively. CONCLUSION Our study shows that novel and lower-cost markers of IR are useful for detecting NALFD, with a performance comparable to the HOMA-IR index. These markers should be used as the first step when screening patients for NAFLD.
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12
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Liu Z, He H, Dai Y, Yang L, Liao S, An Z, Li S. Comparison of the diagnostic value between triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio in metabolic-associated fatty liver disease patients: a retrospective cross-sectional study. Lipids Health Dis 2022; 21:55. [PMID: 35752830 PMCID: PMC9233377 DOI: 10.1186/s12944-022-01661-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/16/2022] [Indexed: 02/08/2023] Open
Abstract
Background The triglyceride and glucose index (TyG) and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute markers of insulin resistance (IR). In a retrospective cross-sectional study, the authors aimed to compare the efficacy of the two indicators in diagnosing metabolic-associated fatty liver disease (MAFLD) to construct a novel disease diagnosis model. Methods Overall, 229 patients (97 MAFLD and 132 Non-MAFLD at West China Hospital of Sichuan University were included. MAFLD was diagnosed using ultrasonography. Biochemical indexes were collected and analyzed by logistic regression to screen out indicators that were expressed differently in MAFLD patients and healthy controls, which were incorporated into a diagnostic model. Results After adjusting for age, sex, and body mass index (BMI), serum alanine transaminase (ALT), aspartate transaminase (AST), AST/ALT (A/A), fasting plasma glucose (FPG), cystatin C (Cys-C), uric acid (URIC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT), non-HDL-C, LDL-C/HDL-C, non-HDL-C/HDL-C, TG/HDL-C, TC/HDL-C, TyG, and TyG-BMI were risk factors for MAFLD. The odds ratio of TG/HDL-C and TyG were 5.629 (95%CI: 3.039–10.424) and 182.474 (95%CI: 33.518–993.407), respectively. In identifying MAFLD, TyG, TyG-BMI, TG, and TG/HDL-C were found to be the most vital indexes based on the random forest method, with the area under the curve (AUC) greater than 0.9. In addition, the combination of BMI, ALT, and TyG had a high diagnostic efficiency for MAFLD. Conclusions TyG and TG/HDL-C were potential risk factors for MAFLD, and the former performed better in diagnosing MAFLD. The combination of BMI, ALT, and TyG improved the diagnostic capability for MAFLD.
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Affiliation(s)
- Zhi Liu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - He He
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yuzhao Dai
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Lidan Yang
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Shenling Liao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zhenmei An
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Shuangqing Li
- Department of General Practice, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
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13
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Jung DH, Park B, Lee YJ. Relationship of the Triglyceride-Glucose Index with Subclinical White Matter Hypersensitivities of Presumed Vascular Origin Among Community-Dwelling Koreans. Int J Gen Med 2022; 15:603-608. [PMID: 35068939 PMCID: PMC8766995 DOI: 10.2147/ijgm.s346997] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/07/2022] [Indexed: 12/15/2022] Open
Abstract
Purpose The triglyceride-glucose (TyG) index, a widely accessible measure, has been a surrogate indicator of peripheral insulin resistance, and its clinical importance continues to grow in East Asia. We hypothesized that the TyG index is relevant to subclinical white matter hypersensitivities (WMHs) of presumed vascular origin among community-dwelling Koreans. Methods We investigated the relationship between the TyG index and WMHs on brain magnetic resonance imaging scans in 2417 Koreans over 45 years of age without a history of cancer, stroke, or ischemic heart disease. The study population was divided into four groups according to the TyG index quartiles. Using multiple logistic regression analysis, we assessed the odds ratios (ORs) and 95% confidence intervals (95% CIs) for WMHs across the TyG index quartiles. Results The prevalence of WMHs was significantly higher in the fourth TyG index quartile, with an overall rate of 9.3%. After adjusting for potential confounding variables, the ORs of WMHs for the TyG index quartiles were 1.00, 1.47 (95% CI, 0.91–2.40), 1.76 (95% CI, 1.05–2.97), and 6.79 (95% CI, 3.85–1.54), respectively. Conclusion We found that higher TyG index values were associated with the brain’s WMHs of presumed vascular origin. Our findings suggest that the serum TyG index could be an additional valuable biomarker for assessing the risk of cerebral small vessel disease in the preclinical stage.
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Affiliation(s)
- Dong-Hyuk Jung
- Department of Family Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Byoungjin Park
- Department of Family Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Yong-Jae Lee
- Department of Family Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
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14
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Ling Q, Chen J, Liu X, Xu Y, Ma J, Yu P, Zheng K, Liu F, Luo J. The triglyceride and glucose index and risk of nonalcoholic fatty liver disease: A dose-response meta-analysis. Front Endocrinol (Lausanne) 2022; 13:1043169. [PMID: 36743937 PMCID: PMC9892833 DOI: 10.3389/fendo.2022.1043169] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/28/2022] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND The triglyceride and glucose (TyG) index is associated with the risk of nonalcoholic fatty liver disease (NAFLD), but the dose-response relationship between them is still unknown. We conducted a comprehensive meta-analysis to study the dose-response association between the TyG index and the risk of NAFLD. METHODS We systematically searched the Cochrane Library, PubMed, and Embase databases until July 2022 for relevant studies. The robust error meta-regression method was used to investigate the dose-response association between the TyG index and NAFLD. Summary relative risks (ORs) and 95% CIs were estimated by using a random-effects model. RESULTS A total of 4 cohort and 8 cross-sectional studies were included, with 28,788 NAFLD cases among the 105,365 participants. A positive association for the risk of NAFLD was observed for each additional unit of the TyG index with a linear association (p=0.82), and the summary OR was 2.84 (95% CI, 2.01-4.01). In the subgroup analyses, a stronger association of the TyG index with NAFLD was shown in females than in males (men: OR=2.97, 95% CI 2.55-3.46, women: OR=4.80, 95% CI 3.90-5.90, Psubgroup<0.001). CONCLUSION The TyG index may be a novel independent risk factor for NAFLD beyond traditional risk factors. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero, identifier (CRD42022347813).
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Affiliation(s)
- Qin Ling
- Department of Cardiology, the Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Jiangxi, China
| | - Jiawei Chen
- Department of Cardiology, the Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Jiangxi, China
| | - Xiao Liu
- Department of Cardiology, the Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yi Xu
- Department of Cardiology, the Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Jiangxi, China
| | - Jianyong Ma
- Department of Pharmacology and Systems Physiology, University of Cinnati College of Medicine, Cincinnati, OH, United States
| | - Peng Yu
- Department of Endocrine, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Kai Zheng
- Medical Care Strategic Customer Department, China Merchants Bank Shenzhen Branch, Shenzhen, China
| | - Fuwei Liu
- Department of Cardiology, the Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- *Correspondence: Jun Luo, ; Fuwei Liu,
| | - Jun Luo
- Department of Cardiology, the Affiliated Ganzhou Hospital of Nanchang University, Jiangxi, China
- *Correspondence: Jun Luo, ; Fuwei Liu,
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15
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Hu J, Cai X, Li N, Zhu Q, Wen W, Hong J, Zhang D, Yao X, Luo Q, Sun L. Association Between Triglyceride Glucose Index-Waist Circumference and Risk of First Myocardial Infarction in Chinese Hypertensive Patients with Obstructive Sleep Apnoea: An Observational Cohort Study. Nat Sci Sleep 2022; 14:969-980. [PMID: 35615442 PMCID: PMC9126228 DOI: 10.2147/nss.s362101] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/06/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE This study aimed to investigate the association between triglyceride glucose index-waist circumference (TyG-WC) and the risk of first myocardial infarction (MI) in Chinese hypertensive patients with obstructive sleep apnoea (OSA). METHODS This study was an observational cohort study. A total of 2224 Chinese hypertensive patients with OSA without a history of MI were included in this study. Hazard ratio (HR) and 95% confidence interval (CI) were estimated using multivariable Cox proportion hazard models. A generalized additive model was used to identify nonlinear relationships. Additionally, we performed hierarchical analysis and test for interaction. RESULTS During a median follow-up of 7.15 years, 85 incidents of MI developed. Overall, there was a positive association between TyG-WC and the risk of first MI. In the multivariable-adjusted model, the risk of MI increased with quartiles of the TyG-WC, the HR in quartile 4 versus quartile 1 was 4.29. A generalized additive model and a smooth curve fitting showed that there existed a similar J-shaped association between TyG-WC and the risk of first MI, with an inflection point at about 785. CONCLUSION Elevated levels of the baseline TyG-WC are associated with an increased risk of first MI. This finding indicates that the TyG-WC might be useful to identify the high risk of first MI in Chinese hypertensive patients with OSA.
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Affiliation(s)
- Junli Hu
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Xintian Cai
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Nanfang Li
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Qing Zhu
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Wen Wen
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Jing Hong
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Delian Zhang
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Xiaoguang Yao
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Qin Luo
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
| | - Le Sun
- Hypertension Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Hypertension Institute, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,National Health Committee Key Laboratory of Hypertension Clinical Research, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Key Laboratory of Xinjiang Uygur Autonomous Region, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China.,Xinjiang Clinical Medical Research Center for Hypertension Diseases, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, People's Republic of China
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16
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Zhang R, Guan Q, Zhang M, Ding Y, Tang Z, Wang H, Zhang W, Chen Y, Jiang R, Cui Y, Wang J. Association Between Triglyceride-Glucose Index and Risk of Metabolic Dysfunction-Associated Fatty Liver Disease: A Cohort Study. Diabetes Metab Syndr Obes 2022; 15:3167-3179. [PMID: 36268197 PMCID: PMC9578360 DOI: 10.2147/dmso.s383907] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/07/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE Insulin resistance (IR) is a major factor involved in the pathogenesis of metabolic dysfunction-associated fatty liver disease (MAFLD). Triglyceride-glucose (TyG) index, an easily detected surrogate marker of IR, has not been explored sufficiently on its relationship with incident MAFLD risk. This study sought to investigate the association of baseline TyG index with the risk of MAFLD in a Chinese cohort. METHODS This health check-up cohort was constructed with eligible 2056 Chinese from a community. The TyG index was calculated as ln (fasting triglyceride [mg/dL]×fasting glucose [mg/dL]/2). Cox proportion hazard models were used to evaluate the longitudinal association between baseline TyG index and the risk of MAFLD. RESULTS During an average follow-up of 2.5 ± 0.5 years, about 12.8% of the subjects developed MAFLD, and the incidence of MAFLD trended to increase with the quartile TyG index (P trend < 0.05). After adjusting for all confounders, TyG index was independently correlated with the risk of incident MAFLD (HR = 1.784, 95% CI = 1.383-2.302, P < 0.001), and the risk of MAFLD in the highest quartile of TyG index was two times higher than that in the lowest quartile (95% CI = 1.377-2.992, P = 0.001). The restricted cubic spline analysis showed that the relationship between TyG index and the risk of MAFLD was linear in males (P for total < 0.001; P for non-linearity = 0.746), but nonlinear in females (P for non-linearity = 0.040). CONCLUSION A high baseline TyG index was independently associated with a high risk of incident MAFLD, and we might develop the strategy of MAFLD prevention based on the TyG index.
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Affiliation(s)
- Ru Zhang
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Qing Guan
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Mengting Zhang
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yajie Ding
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Zongzhe Tang
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Hongliang Wang
- Department of General Practice, Community Health Service Center, Nanjing, People’s Republic of China
| | - Wei Zhang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Yue Chen
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Rong Jiang
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yan Cui
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Jie Wang
- School of Nursing, Nanjing Medical University, Nanjing, People’s Republic of China
- Correspondence: Jie Wang; Yan Cui, School of Nursing, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu, 211166, People’s Republic of China, Tel +86-25-86869557, Email ;
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