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Luo Y, Yu J, Lin Z, Wang X, Zhao J, Liu X, Qin W, Xu G. Metabolic characterization of sphere-derived prostate cancer stem cells reveals aberrant urea cycle in stemness maintenance. Int J Cancer 2024; 155:742-755. [PMID: 38647131 DOI: 10.1002/ijc.34967] [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: 11/27/2023] [Revised: 03/06/2024] [Accepted: 03/19/2024] [Indexed: 04/25/2024]
Abstract
Alteration of cell metabolism is one of the essential characteristics of tumor growth. Cancer stem cells (CSCs) are the initiating cells of tumorigenesis, proliferation, recurrence, and other processes, and play an important role in therapeutic resistance and metastasis. Thus, identification of the metabolic profiles in prostate cancer stem cells (PCSCs) is critical to understanding prostate cancer progression. Using untargeted metabolomics and lipidomics methods, we show distinct metabolic differences between prostate cancer cells and PCSCs. Urea cycle is the most significantly altered metabolic pathway in PCSCs, the key metabolites arginine and proline are evidently elevated. Proline promotes cancer stem-like characteristics via the JAK2/STAT3 signaling pathway. Meanwhile, the enzyme pyrroline-5-carboxylate reductase 1 (PYCR1), which catalyzes the conversion of pyrroline-5-carboxylic acid to proline, is highly expressed in PCSCs, and the inhibition of PYCR1 suppresses the stem-like characteristics of prostate cancer cells and tumor growth. In addition, carnitine and free fatty acid levels are significantly increased, indicating reprogramming of fatty acid metabolism in PCSCs. Reduced sphingolipid levels and increased triglyceride levels are also observed. Collectively, our data illustrate the comprehensive landscape of the metabolic reprogramming of PCSCs and provide potential therapeutic strategies for prostate cancer.
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Affiliation(s)
- Yuanyuan Luo
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jiachuan Yu
- Department of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Zhikun Lin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Xiaolin Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Jinhui Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Wangshu Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
- State Key Laboratory of Medical Proteomics, Beijing, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian, China
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Li J, Ye P, Peng X, Xiang G. The roles of lipids and inflammation in the association between the triglyceride-glucose index and arterial stiffness: evidence from two large population-based surveys. Lipids Health Dis 2024; 23:190. [PMID: 38909224 PMCID: PMC11193289 DOI: 10.1186/s12944-024-02183-0] [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: 04/28/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a risk marker for arterial stiffness; however, the extent to which the TyG index is associated with arterial stiffness via lipids and inflammation remains unknown. The first aim was to probe the relationship between the TyG index and arterial stiffness in two surveys. The second aim was to clarify whether lipids and inflammation mediate this relationship. METHODS The sample size of 13,726 U.S. individuals from the National Examination Survey (NHANES) and 3,964 Chinese individuals from the China Health and Retirement Longitudinal Study (CHARLS 2015) were enrolled. Weighted multivariate logistic and linear regression models, as well as restricted cubic spline (RCS) and mediation analyses, were utilized to estimate complex relationships between the TyG index, arterial stiffness, lipids (non-high-density lipoprotein cholesterol [non-HDL-C]) and inflammation (C-reactive protein [CRP]) biomarkers. RESULTS A total of 3,420 U.S. patients and 992 Chinese patients were diagnosed with increased arterial stiffness. Regression analyses demonstrated that higher quartiles of the TyG index were associated with a greater incidence of increased arterial stiffness (NHANES: OR = 2.610, 95% CI = 2.043-3.334, P < 0.001; CHARLS: OR = 1.579, 95% CI = 1.057-2.360, P < 0.001). Participants with a higher TyG index/higher CRP level or with a higher TyG index/higher non-HDL-C level had the highest incidence of increased arterial stiffness in the two surveys. The results were still consistent when the sensitivity analysis was implemented with stricter clinical cut-off values of non-HDL-C. Mediation analysis verified that lipids (mediated effect: β = 0.012, P < 0.001 in NHANES; β = 0.020, P < 0.001 in CHARLS) and inflammation (mediated effect: β = 0.003, P < 0.001 in NHANES; β = 0.006, P < 0.001 in CHARLS) partially mediated this relationship. CONCLUSIONS These results indicated a positive linear correlation between the TyG index, non-HDL-C level, CRP level and increased arterial stiffness in two surveys. Furthermore, lipids and inflammation could partly mediate the correlation of the TyG index with arterial stiffness in both surveys.
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Affiliation(s)
- Jinlian Li
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, 430070, China
| | - Pei Ye
- Shantou University Medical College, Shantou, Guangdong, China
| | - Xiangyan Peng
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China
- Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, 430070, China
| | - Guangda Xiang
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510515, China.
- Department of Endocrinology, General Hospital of Central Theater Command, Wuhan, Hubei, 430070, China.
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3
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Wu X, Wang S, Lin L, Jia X, Hu C, Qi H, Lin H, Zheng R, Li M, Xu Y, Xu M, Chen L, Zeng T, Hu R, Ye Z, Shi L, Su Q, Yu X, Yan L, Wang T, Zhao Z, Zheng J, Qin G, Wan Q, Chen G, Dai M, Tang X, Gao Z, Shen F, Gu X, Luo Z, Qin Y, Chen L, Hou X, Huo Y, Li Q, Wang G, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Mu Y, Ning G, Wang W, Bi Y, Chen Y, Lu J. Association between triglyceride glucose index and breast cancer in 142,184 Chinese adults: findings from the REACTION study. Front Endocrinol (Lausanne) 2024; 15:1321622. [PMID: 38904041 PMCID: PMC11186986 DOI: 10.3389/fendo.2024.1321622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 05/21/2024] [Indexed: 06/22/2024] Open
Abstract
Background The triglyceride glucose (TyG) index has been associated with an increased risk in breast cancer. However, this association remains unclear among the Chinese population. This study aimed to investigate whether the TyG index is associated with the risk of prevalent breast cancer in Chinese women. Methods This cross-sectional study included 142,184 women from the REACTION (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal) Study, which recruited adults aged 40 years or older from 25 centers across mainland China between 2011 and 2012. The TyG index was calculated according to the formula: Ln (fasting triglycerides [mg/dL] × fasting glucose [mg/dL]/2). Multivariable-adjusted logistic regression models were used to evaluate odds ratios (ORs) and 95% confidence intervals (CIs) regarding the associations between the TyG index and breast cancer. Results Multivariable-adjusted logistic regression analysis showed that compared with the lowest quartile of the TyG index, the highest quartile of the TyG index was significantly associated with an increased risk of prevalent breast cancer, with an OR (95% CI) of 1.61 (1.19-2.17). In the stratified analysis, the association of each 1 SD increase in the TyG index with risk of prevalent breast cancer was more dominant in individuals with menarche at age 13-17, those who were postmenopausal, those with a history of breastfeeding, and those who had two to four children, with the ORs (95% CIs) of 1.35 (1.09-1.68), 1.27 (1.05-1.54), 1.26 (1.05-1.52), and 1.32 (1.08-1.62), respectively. Moreover, among those without discernible insulin resistance (homeostatic model assessment-insulin resistance [HOMA-IR] ≥2.5), hyperglycemia and dyslipidemia, each 1 SD increase in the TyG index was associated with a 1.36-fold increase in breast cancer risk, with an OR (95% CI) of 2.36 (1.44-3.87). Conclusion The TyG index is significantly associated with the prevalent breast cancer risk among middle-aged and elderly Chinese women.
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Affiliation(s)
- Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojing Jia
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruying Hu
- Institute of Chronic Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhen Ye
- Institute of Chronic Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xuejiang Gu
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, China
| | - Xinguo Hou
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Department of Endocrinology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yin JL, Yang J, Song XJ, Qin X, Chang YJ, Chen X, Liu FH, Li YZ, Xu HL, Wei YF, Cao F, Bai XL, Wu L, Tao T, Du J, Gong TT, Wu QJ. Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies. Cardiovasc Diabetol 2024; 23:177. [PMID: 38783270 PMCID: PMC11118729 DOI: 10.1186/s12933-024-02241-y] [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: 03/26/2024] [Accepted: 04/20/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence. METHODS A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587). RESULTS Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index. CONCLUSION We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.
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Affiliation(s)
- Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jing Yang
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Xin-Jian Song
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Jiao Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fan Cao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue-Li Bai
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Tao Tao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Jian Du
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility, (China Medical University), National Health Commission, Shenyang, China.
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Bolat MS, Bolat IA, Dündar C, Asci R. Which is better to predict erectile dysfunction and male sexual function in the context of metabolic syndrome: triglyceride-glucose index or visceral adiposity index?: a retrospective cross-sectional study. Int Urol Nephrol 2024:10.1007/s11255-024-04057-x. [PMID: 38687440 DOI: 10.1007/s11255-024-04057-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 04/10/2024] [Indexed: 05/02/2024]
Abstract
PURPOSE Many factors influence male sexual function, including metabolic disorders such as metabolic syndrome (MetS). We aimed to investigate the effects of two metabolic indices, the triglyceride-glucose (TyG) index and the visceral adiposity index (VAI), on male sexual function. METHODS A total of 400 men having sexual dysfunction were included. Anthropological data, comorbidities were recorded. Serum total testosterone, prolactin, and estradiol levels were recorded. Sex-specific VAI was calculated using the [(WC/39.68) + (1.88xMI)] × (TG/1.03) × (1.31/HDL) formula and using Ln (fasting triglycerides) × (fasting glucose)/2] formula, TyG index was calculated. Turkish-validated 15-item long-form of the International Index of Erectile Dysfunction (IIEF) questionnaire and male sexual health questionnaire (MSHQ) were used for erectile function and ejaculatory function, respectively. The ROC analysis was used to evaluate the predictive abilities of TyG and VAI cut-off values for ED risk. RESULTS A higher TyG index and VAI were associated with an increased risk of ED. The presence of MetS further worsened sexual function, with lower scores in sexual satisfaction, orgasm, desire, and general satisfaction. The TyG index and VAI showed similar predictive abilities for ED. Patients with MetS had worse ejaculation quality compared to those without MetS. CONCLUSIONS These findings highlight the potential of the TyG index and VAI as convenient tools for predicting and assessing sexual dysfunction in men, particularly in the context of metabolic disorders. Early detection and intervention for metabolic syndrome and insulin resistance may help to mitigate their negative impact on male sexual function.
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Affiliation(s)
- Mustafa Suat Bolat
- Medicana International Hospital, Urology Clinic, Canik/Samsun Türkiye. Atilim University, Yenimahalle, Şht. Mesut Birinci Cd. No:85, 55080, Ankara, Türkiye.
- Atılım University, Faculty of Medicine, Ankara, Türkiye.
| | - Ipek Akalin Bolat
- Clinic of Obstetrics and Gynaecology, Samsun Training and Research Hospital, Health Sciences University, Samsun, Türkiye
| | - Cihad Dündar
- Department of Public Health, Ondokuz Mayis University, Samsun, Türkiye
| | - Ramazan Asci
- Department of Urology, Ondokuz Mayis University, Samsun, Türkiye
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6
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Cui DY, Zhang C, Chen Y, Qian GZ, Zheng WX, Zhang ZH, Zhang Y, Zhu P. Associations between non-insulin-based insulin resistance indices and heart failure prevalence in overweight/obesity adults without diabetes mellitus: evidence from the NHANES 2001-2018. Lipids Health Dis 2024; 23:123. [PMID: 38678275 PMCID: PMC11055335 DOI: 10.1186/s12944-024-02114-z] [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: 03/06/2024] [Accepted: 04/18/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index and triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio are recognized as simple non-insulin-based insulin resistance indices. Our study aimed to explore the relationship between these two indicators and heart failure (HF) in overweight or obesity individuals without diabetes. METHODS This cross-sectional study selected 13,473 participants from the National Health and Nutrition Examination Survey (NHANES) 2001-2018 dataset. Weighted multivariable logistic regression and subgroup analysis were employed to evaluate the relationships between TyG index, TG/HDL-C ratio, and HF prevalence, respectively. Additionally, smooth curve fitting was utilized to analyze the dose-response relationships. RESULTS A total of 13,473 obesity or overweight people without diabetes were included in this study through screening, among whom 291 (2.16%) had comorbid HF. The results of multivariable logistic regression suggested that the highest TyG index (OR = 2.4, 95% CI = 1.4-4.2, p = 0.002) and the highest TG/HDL-C ratio (OR = 1.2, 95% CI = 1.1-1.3, p < 0.001) both increased the prevalence of HF, especially in the non-Hispanic population. Dose-response relationships suggested nonlinear relationships between these two indicators and HF. CONCLUSION Our study demonstrated that elevated TyG index and TG/HDL-C ratio were closely associated with the prevalence of HF, and both exhibited nonlinear relationships with HF prevalence in overweight/obesity adults without diabetes. Based on these findings, additional prospective studies are needed for further validation.
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Affiliation(s)
- Di-Yu Cui
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Chao Zhang
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Yi Chen
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Gang-Zhen Qian
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Wan-Xiang Zheng
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Zhi-Hui Zhang
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Yu Zhang
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
| | - Ping Zhu
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
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7
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Bouras E, Gill D, Zuber V, Murphy N, Dimou N, Aleksandrova K, Lewis SJ, Martin RM, Yarmolinsky J, Albanes D, Brenner H, Castellví-Bel S, Chan AT, Cheng I, Gruber S, Van Guelpen B, Li CI, Le Marchand L, Newcomb PA, Ogino S, Pellatt A, Schmit SL, Wolk A, Wu AH, Peters U, Gunter MJ, Tsilidis KK. Identification of potential mediators of the relationship between body mass index and colorectal cancer: a Mendelian randomization analysis. Int J Epidemiol 2024; 53:dyae067. [PMID: 38725300 PMCID: PMC11082423 DOI: 10.1093/ije/dyae067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/15/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third-most-common cancer worldwide and its rates are increasing. Elevated body mass index (BMI) is an established risk factor for CRC, although the molecular mechanisms behind this association remain unclear. Using the Mendelian randomization (MR) framework, we aimed to investigate the mediating effects of putative biomarkers and other CRC risk factors in the association between BMI and CRC. METHODS We selected as mediators biomarkers of established cancer-related mechanisms and other CRC risk factors for which a plausible association with obesity exists, such as inflammatory biomarkers, glucose homeostasis traits, lipids, adipokines, insulin-like growth factor 1 (IGF1), sex hormones, 25-hydroxy-vitamin D, smoking, physical activity (PA) and alcohol consumption. We used inverse-variance weighted MR in the main univariable analyses and performed sensitivity analyses (weighted-median, MR-Egger, Contamination Mixture). We used multivariable MR for the mediation analyses. RESULTS Genetically predicted BMI was positively associated with CRC risk [odds ratio per SD (5 kg/m2) = 1.17, 95% CI: 1.08-1.24, P-value = 1.4 × 10-5] and robustly associated with nearly all potential mediators. Genetically predicted IGF1, fasting insulin, low-density lipoprotein cholesterol, smoking, PA and alcohol were associated with CRC risk. Evidence for attenuation was found for IGF1 [explained 7% (95% CI: 2-13%) of the association], smoking (31%, 4-57%) and PA (7%, 2-11%). There was little evidence for pleiotropy, although smoking was bidirectionally associated with BMI and instruments were weak for PA. CONCLUSIONS The effect of BMI on CRC risk is possibly partly mediated through plasma IGF1, whereas the attenuation of the BMI-CRC association by smoking and PA may reflect confounding and shared underlying mechanisms rather than mediation.
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Affiliation(s)
- Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Dipender Gill
- Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
| | - Verena Zuber
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Krasimira Aleksandrova
- Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
- Department Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - Sarah J Lewis
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Richard M Martin
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol
| | - James Yarmolinsky
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sergi Castellví-Bel
- Department of Gastroenterology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Hospital Clínic, Barcelona, Spain
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, CA, USA
| | - Stephen Gruber
- Department of Medical Oncology & Therapeutics Research and Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Andrew Pellatt
- Department of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
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Jin L, Gu J, Zhang Z, Du CF, Xu FQ, Huang XK, Gao ZY, Li Y, Yu LL, Zhang X, Ru GQ, Liu JW, Liang L, Sun XD, Xiao ZQ. TyG-GGT is a Reliable Non-Invasive Predictor of Advanced Liver Fibrosis in Overweight or Obese Individuals. Obes Surg 2024; 34:1333-1342. [PMID: 38427150 DOI: 10.1007/s11695-024-07139-y] [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: 11/30/2023] [Revised: 02/24/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Liver fibrosis is a predisposing factor for liver cancer. This study will investigate the predictive role of the Triglyceride-glucose and Gamma-glutamyl transferase index (TyG-GGT) as a non-invasive indicator of advanced liver fibrosis in individuals with obesity or overweight. METHOD We enrolled patients who underwent metabolic and bariatric surgery as well as intraoperative liver biopsies at Zhejiang provincial people's hospital from August 2020 to March 2023. Clinical characteristics, comorbidities, laboratory data, and pathological variables of patients were collected and analysed. Then, we conducted logistics regression model to compare the performance of the TyG-GGT index with other 4 non-invasive models. RESULTS A total of 65 patients were included in this study. 43(66.2%) of them were female, with the mean body mass index (BMI) of 39.0 ± 7.3 kg/m2. Meanwhile, 24(36.9%) patients were diagnosed with diabetes. Advanced liver fibrosis were observed in 16.9% of patients, while liver cirrhosis was found in 4.6% of patients. The multivariable logistics regression showed that TyG-GGT was an independent risk factor of advanced liver fibrosis (OR = 6.989, P = 0.049). Additionally, compared to another 4 non-invasive liver fibrosis models (NFS = 0.66, FIB4 = 0.65, METS-IR = 0.68, APRI = 0.65), TyG-GGT exhibits the highest AUC value of 0.75. CONCLUSIONS More than one-third of patients undergoing metabolic and bariatric surgery are afflicted with nonalcoholic steatohepatitis (NASH), and a significant proportion exhibit advanced fibrosis. TyG-GGT was a potentially reliable predictor for screening individuals with overweight or obesity at high risk of advanced liver fibrosis, thus providing clinical guidance for early intervention in this targeted group.
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Affiliation(s)
- Lei Jin
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jing Gu
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhe Zhang
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Cheng-Fei Du
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Fei-Qi Xu
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiao-Kun Huang
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, China
| | - Zhen-Yu Gao
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, China
| | - Ying Li
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Li-Li Yu
- Cancer Center, Department of Pathology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Xin Zhang
- Cancer Center, Department of Pathology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Guo-Qing Ru
- Cancer Center, Department of Pathology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Jun-Wei Liu
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
| | - Lei Liang
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China
| | - Xiao-Dong Sun
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
| | - Zun-Qiang Xiao
- General Surgery, Cancer Center, Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
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Slusher AL, Nouws J, Tokoglu F, Vash-Margita A, Matthews MD, Fitch M, Shankaran M, Hellerstein MK, Caprio S. Altered extracellular matrix dynamics is associated with insulin resistance in adolescent children with obesity. Obesity (Silver Spring) 2024; 32:593-602. [PMID: 38410080 PMCID: PMC11034857 DOI: 10.1002/oby.23974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 02/28/2024]
Abstract
OBJECTIVE The objective of this study was to examine the hypothesis that abdominal and gluteal adipocyte turnover, lipid dynamics, and fibrogenesis are dysregulated among insulin-resistant (IR) compared with insulin-sensitive (IS) adolescents with obesity. METHODS Seven IS and seven IR adolescents with obesity participated in a 3-h oral glucose tolerance test and a multi-section magnetic resonance imaging scan of the abdominal region to examine body fat distribution patterns and liver fat content. An 8-week 70% deuterated water (2 H2 O) labeling protocol examined adipocyte turnover, lipid dynamics, and fibrogenesis in vivo from biopsied abdominal and gluteal fat. RESULTS Abdominal and gluteal subcutaneous adipose tissue (SAT) turnover rates of lipid components were similar among IS and IR adolescents with obesity. However, the insoluble collagen (type I, subunit α2) isoform measured from abdominal, but not gluteal, SAT was elevated in IR compared with IS individuals. In addition, abdominal insoluble collagen Iα2 was associated with ratios of visceral-to-total (visceral adipose tissue + SAT) abdominal fat and whole-body and adipose tissue insulin signaling, and it trended toward a positive association with liver fat content. CONCLUSIONS Altered extracellular matrix dynamics, but not expandability, potentially decreases abdominal SAT lipid storage capacity, contributing to the pathophysiological pathways linking adipose tissue and whole-body IR with altered ectopic storage of lipids within the liver among IR adolescents with obesity.
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Affiliation(s)
- Aaron L Slusher
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Jessica Nouws
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Fuyuze Tokoglu
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
| | - Alla Vash-Margita
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut, USA
| | - Marcy D Matthews
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, California, USA
| | - Mark Fitch
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, California, USA
| | - Mahalakshmi Shankaran
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, California, USA
| | - Marc K Hellerstein
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, California, USA
| | - Sonia Caprio
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, USA
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Qin G, Sun Z, Jin Y, Ren X, Zhang Z, Wang S, Zhou G, Huang K, Zhao H, Jiang X. The association between the triglyceride-glucose index and prognosis in postoperative renal cell carcinoma patients: a retrospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1301703. [PMID: 38476671 PMCID: PMC10927751 DOI: 10.3389/fendo.2024.1301703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 02/05/2024] [Indexed: 03/14/2024] Open
Abstract
Background Insulin resistance has been proven to be associated with renal cell carcinoma (RCC). However, the prognostic value of the triglyceride-glucose (TyG) index, as a marker for insulin resistance (IR), is still unclear. Therefore, we conducted research to explore the prognostic value and the predictive performance of the TyG index in postoperative RCC patients. Methods A total of 651 postoperative RCC patients from January 2016 to June 2018 were enrolled in the final study. Their clinical and laboratory parameters were collected from medical records and through follow-up by phone. The triglyceride-glucose (TyG) index was calculated as follows: TyG = Ln[TG (mg/dl) × FBG (mg/dL)/2]. The overall survival (OS) and disease-free survival (DFS) were identified as the main outcomes. Results The TyG index is an independent prognostic factor for OS (HR = 2.340, 95% CI = 1.506 to 3.64, P < 0.001) and DFS (HR = 2.027, 95% CI = 1.347 to 3.051, P < 0.001) in postoperative RCC patients. Kaplan-Meier survival curves of the different TyG index levels showed statistically significant differences in terms of OS and DFS (log-rank test, P < 0.0001). Furthermore, the TyG index was significantly associated with RCC risk factors. Conclusion The TyG index is significantly associated with RCC survival. The mechanisms responsible for these results may contribute toward the improvement of RCC prognosis and immunotherapy efficacy and the development of new immunotherapeutic targets.
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Affiliation(s)
- Guoliang Qin
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhuang Sun
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Yuxiang Jin
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiangguo Ren
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhaocun Zhang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Shuo Wang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Guanwen Zhou
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Kun Huang
- Department of Urology, Changle County People’s Hospital, Weifang, China
| | - Haifeng Zhao
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Xianzhou Jiang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
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Li J, Chen J, Liu H, Yan S, Wang Y, Xing M, Ding S. Association of the triglyceride-glucose index with the occurrence and recurrence of colorectal adenomas: a retrospective study from China. BMC Public Health 2024; 24:579. [PMID: 38395868 PMCID: PMC10885480 DOI: 10.1186/s12889-024-18076-x] [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: 10/20/2023] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Resection of colorectal adenoma (CRA) prevents colorectal cancer; however, recurrence is common. We aimed to assess the association of the triglyceride-glucose (TyG) index with CRA occurrence and recurrence. METHODS Data from 3392 participants at a hospital in China from 2020 to 2022 were analyzed. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). A restricted cubic spline was used to fit TyG index dose‒response curves to recurrent adenomas. The discriminatory power of TyG index for predicting later recurrence was assessed with the area under the receiver operating characteristic (ROC) curve in 170 patients with a TyG index at initial adenoma diagnosis. RESULTS One thousand five hundred ninety-six adenoma and 1465 normal participants were included in the occurrence analysis, and 179 recurrent and 152 nonrecurrent participants were included in the recurrence analysis. The TyG mutation was an independent risk factor for CRA occurrence and recurrence. After adjusting for confounders, the risk of adenoma in the participants in Q2, Q3, and Q4 groups of TyG was 1.324 (95% CI 1.020-1.718), 1.349 (95% CI 1.030-1.765), and 1.445 (95% CI 1.055-1.980) times higher than that of the Q1, respectively, and the risk of recurrence in the Q3 and Q4 groups was 2.267 (95% CI 1.096-4.691) and 2.824 (95% CI 1.199-6.648) times in Q1 group. Multiple logistic regression showed that the highest quartile of the TyG index was associated with a greater risk of advanced adenoma recurrence (OR 4.456, 95% CI 1.157-17.164), two or more adenomas (OR 5.079, 95% CI 1.136-22.714 [after removal of TyG index extreme values]), and proximal colon or both adenomas (OR 3.043, 95% CI 1.186-7.810). Subgroup analysis revealed that the association was found to be present only in participants of all age groups who were either male or without obesity, hyperglycemia, hypertension, or dyslipidemia (p < 0.05). ROC curves illustrated that the TyG index had good predictive efficacy for identifying recurrence, especially for patients with two or more adenomas (AUC 0.777, 95% CI 0.648-0.907). CONCLUSIONS An increase in the TyG index is associated with an increased risk of adenoma occurrence and recurrence, with a stronger association with the latter.
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Affiliation(s)
- Jiaoyan Li
- Health Management Center, the First Affiliated Hospital of Zhengzhou University, Longhu Middle Ring Road, Jinshui District, Zhengzhou, 450052, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China
| | - Jingfeng Chen
- Health Management Center, the First Affiliated Hospital of Zhengzhou University, Longhu Middle Ring Road, Jinshui District, Zhengzhou, 450052, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China
| | - Haoshuang Liu
- Health Management Center, the First Affiliated Hospital of Zhengzhou University, Longhu Middle Ring Road, Jinshui District, Zhengzhou, 450052, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China
| | - Su Yan
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, 450018, China
| | - Youxiang Wang
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China
| | - Miao Xing
- School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China
| | - Suying Ding
- Health Management Center, the First Affiliated Hospital of Zhengzhou University, Longhu Middle Ring Road, Jinshui District, Zhengzhou, 450052, Henan, China.
- College of Public Health, Zhengzhou University, Zhengzhou, 450000, China.
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12
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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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13
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Zhan S, Wang L, Wang W, Li R. Insulin resistance in NSCLC: unraveling the link between development, diagnosis, and treatment. Front Endocrinol (Lausanne) 2024; 15:1328960. [PMID: 38449844 PMCID: PMC10916692 DOI: 10.3389/fendo.2024.1328960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/07/2024] [Indexed: 03/08/2024] Open
Abstract
Lung cancer is responsible for the highest number of cancer-related deaths, with non-small cell lung cancer (NSCLC) being the most prevalent subtype. A critical aspect of managing lung cancer is reducing morbidity and mortality rates among NSCLC patients. Identifying high-risk factors for lung cancer and facilitating early diagnosis are invaluable in achieving this objective. Recent research has highlighted the association between insulin resistance and the development of NSCLC, further emphasizing its significance in the context of lung cancer. It has been discovered that improving insulin resistance can potentially inhibit the progression of lung cancer. Consequently, this paper aims to delve into the occurrence of insulin resistance, the mechanisms underlying its involvement in lung cancer development, as well as its potential value in predicting, assessing, and treating lung cancer.
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Affiliation(s)
- Shizhang Zhan
- Department of Graduate School, Bengbu Medical College, Bengbu, China
| | - Liu Wang
- Department of Respiratory and Critical Care, Xuzhou Central Hospital, Xuzhou, China
| | - Wenping Wang
- Department of Graduate School, Bengbu Medical College, Bengbu, China
| | - Ruoran Li
- Department of Graduate School, Bengbu Medical College, Bengbu, China
- Department of Respiratory and Critical Care, Xuzhou Central Hospital, Xuzhou, China
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14
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Teng YJ, Yang YX, Yang JJ, Lu QY, Shi JY, Xu JH, Bao J, Wang QH. Association between triglyceride-glucose index and colorectal polyps: A retrospective cross-sectional study. World J Gastrointest Endosc 2024; 16:55-63. [PMID: 38464818 PMCID: PMC10921154 DOI: 10.4253/wjge.v16.i2.55] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/16/2023] [Accepted: 01/08/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Colorectal polyps (CPs) are frequently occurring abnormal growths in the colorectum, and are a primary precursor of colorectal cancer (CRC). The triglyceride-glucose (TyG) index is a novel marker that assesses metabolic health and insulin resistance, and has been linked to gastrointestinal cancers. AIM To investigate the potential association between the TyG index and CPs, as the relation between them has not been documented. METHODS A total of 2537 persons undergoing a routine health physical examination and colonoscopy at The First People's Hospital of Kunshan, Jiangsu Province, China, between January 2020 and December 2022 were included in this retrospective cross-sectional study. After excluding individuals who did not meet the eligibility criteria, descriptive statistics were used to compare characteristics between patients with and without CPs. Logistic regression analyses were conducted to determine the associations between the TyG index and the prevalence of CPs. The TyG index was calculated using the following formula: Ln [triglyceride (mg/dL) × glucose (mg/dL)/2]. The presence and types of CPs was determined based on data from colonoscopy reports and pathology reports. RESULTS A nonlinear relation between the TyG index and the prevalence of CPs was identified, and exhibited a curvilinear pattern with a cut-off point of 2.31. A significant association was observed before the turning point, with an odds ratio (95% confidence interval) of 1.70 (1.40, 2.06), P < 0.0001. However, the association between the TyG index and CPs was not significant after the cut-off point, with an odds ratio (95% confidence interval) of 0.57 (0.27, 1.23), P = 0.1521. CONCLUSION Our study revealed a curvilinear association between the TyG index and CPs in Chinese individuals, suggesting its potential utility in developing colonoscopy screening strategies for preventing CRC.
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Affiliation(s)
- Ya-Jie Teng
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Ying-Xue Yang
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Jing-Jing Yang
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Qiu-Yan Lu
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Jia-Yi Shi
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Jian-Hao Xu
- Department of Pathology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Jie Bao
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
| | - Qing-Hua Wang
- Department of Gastroenterology, The First People's Hospital of Kunshan, Suzhou 215300, Jiangsu Province, China
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15
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Haring B, Schumacher H, Mancia G, Teo KK, Lonn EM, Mahfoud F, Schmieder R, Mann JFE, Sliwa K, Yusuf S, Böhm M. Triglyceride-glucose index, low-density lipoprotein levels, and cardiovascular outcomes in chronic stable cardiovascular disease: results from the ONTARGET and TRANSCEND trials. Eur J Prev Cardiol 2024; 31:311-319. [PMID: 37890035 DOI: 10.1093/eurjpc/zwad340] [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: 09/19/2023] [Revised: 09/22/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023]
Abstract
AIMS The triglyceride-glucose index (TyG) has been proposed as an alternative to insulin resistance and as a predictor of cardiovascular outcomes. Little is known on its role in chronic stable cardiovascular disease and its predictive power at controlled low density lipoprotein (LDL) levels. METHODS AND RESULTS Our study population consisted of 29 960 participants in the ONTARGET and TRANSCEND trials that enrolled patients with known atherosclerotic disease. Triglycerides and glucose were measured at baseline. TyG was calculated as the logarithmized product of fasting triglycerides and glucose divided by 2. The primary endpoint of both trials was a composite of cardiovascular death, myocardial infarction, stroke, or hospitalization for heart failure. The secondary endpoint was all-cause death and the components of the primary endpoint. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) with extensive covariate adjustment for demographic, medical history, and lifestyle factors. During a mean follow-up of 4.3 years, 4895 primary endpoints and 3571 all-cause deaths occurred. In fully adjusted models, individuals in the highest compared to the lowest quartile of the TyG index were at higher risk for the primary endpoint (HR 1.14; 95% CI 1.05-1.25) and for myocardial infarction (HR 1.30; 95% CI 1.11-1.53). A higher TyG index did not associate with the primary endpoint in individuals with LDL levels < 100 mg/dL. CONCLUSION A higher TyG index is associated with a modestly increased cardiovascular risk in chronic stable cardiovascular disease. This association is largely attenuated when LDL levels are controlled. REGISTRATION www.clinicaltrials.gov: NCT00153101.
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Affiliation(s)
- Bernhard Haring
- Department of Medicine III, Saarland University, Kirrberger Strasse 100, 66421 Homburg, Germany
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Giuseppe Mancia
- Instituto Clinico Universitario Policlinico di Monza, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, Milano, Italy
| | - Koon K Teo
- Population Health Research Institute, McMaster University, and Hamilton Health Sciences, Hamilton, Canada
| | - Eva M Lonn
- Population Health Research Institute, McMaster University, and Hamilton Health Sciences, Hamilton, Canada
| | - Felix Mahfoud
- Department of Medicine III, Saarland University, Kirrberger Strasse 100, 66421 Homburg, Germany
| | - Roland Schmieder
- Department of Nephrology and Hypertension, Friedrich-Alexander University, Erlangen, Germany
| | - Johannes F E Mann
- KfH Kidney Centre, München, Germany
- Department of Nephrology and Hypertension, Friedrich-Alexander University, Erlangen, Germany
| | - Karen Sliwa
- Faculty of Health Sciences, Hatter Institute for Cardiovascular Research in Africa & IIDMM, University of Cape Town, Cape Town, South Africa
| | - Salim Yusuf
- Population Health Research Institute, McMaster University, and Hamilton Health Sciences, Hamilton, Canada
| | - Michael Böhm
- Department of Medicine III, Saarland University, Kirrberger Strasse 100, 66421 Homburg, Germany
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16
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Fritz J, Jochems SHJ, Bjørge T, Wood AM, Häggström C, Ulmer H, Nagel G, Zitt E, Engeland A, Harlid S, Drake I, Stattin P, Stocks T. Body mass index, triglyceride-glucose index, and prostate cancer death: a mediation analysis in eight European cohorts. Br J Cancer 2024; 130:308-316. [PMID: 38087039 PMCID: PMC10803806 DOI: 10.1038/s41416-023-02526-1] [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: 04/07/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Insulin resistance is a hypothesised biological mechanism linking obesity with prostate cancer (PCa) death. Data in support of this hypothesis is limited. METHODS We included 259,884 men from eight European cohorts, with 11,760 incident PCa's and 1784 PCa deaths during follow-up. We used the triglyceride-glucose (TyG) index as indicator of insulin resistance. We analysed PCa cases with follow-up from PCa diagnosis, and the full cohort with follow-up from the baseline cancer-free state, thus incorporating both PCa incidence and death. We calculated hazard ratios (HR) and the proportion of the total effect of body mass index (BMI) on PCa death mediated through TyG index. RESULTS In the PCa-case-only analysis, baseline TyG index was positively associated with PCa death (HR per 1-standard deviation: 1.11, 95% confidence interval (CI); 1.01-1.22), and mediated a substantial proportion of the baseline BMI effect on PCa death (HRtotal effect per 5-kg/m2 BMI: 1.24; 1.14-1.35, of which 28%; 4%-52%, mediated). In contrast, in the full cohort, the TyG index was not associated with PCa death (HR: 1.03; 0.94-1.13), hence did not substantially mediate the effect of BMI on PCa death. CONCLUSIONS Insulin resistance could be an important pathway through which obesity accelerates PCa progression to death.
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Affiliation(s)
- Josef Fritz
- Department of Translational Medicine, Lund University, Malmö, Sweden.
- Institute of Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.
| | | | - Tone Bjørge
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Cancer Registry of Norway, Oslo, Norway
| | - Angela M Wood
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Christel Häggström
- Northern Registry Centre, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Hanno Ulmer
- Institute of Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Gabriele Nagel
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
- Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
- Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Feldkirch, Austria
| | - Anders Engeland
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Department of Chronic Diseases, Norwegian Institute of Public Health, Bergen, Norway
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Isabel Drake
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Pär Stattin
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Tanja Stocks
- Department of Translational Medicine, Lund University, Malmö, Sweden
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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17
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Guo S, Zhao Y, Jiang Y, Ye H, Wang Y. Increased pretreatment triglyceride glucose-body mass index associated with poor prognosis in patients with advanced non-small cell lung cancer. Clin Nutr ESPEN 2024; 59:412-421. [PMID: 38220404 DOI: 10.1016/j.clnesp.2023.12.018] [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: 08/23/2023] [Revised: 11/13/2023] [Accepted: 12/13/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND The association between the triglyceride glucose-body mass index (TyG-BMI) and various health outcomes has been postulated. Nonetheless, the application of TyG-BMI in predicting the prognosis of non-small cell lung cancer (NSCLC) remains poorly understood. Our objective was to explore the association between TyG-BMI and both progression-free survival (PFS) and overall survival (OS) in patients with advanced NSCLC. METHODS A retrospective study was conducted on the data of 426 patients diagnosed with advanced NSCLC between 2018 and 2022. The TyG-BMI values were derived from the serum triglyceride, fasting plasma glucose, and BMI measurements obtained at the time of diagnosis. Cox proportional hazards regression models were applied to examine the impact of TyG-BMI on both progression-free survival (PFS) and overall survival (OS) in advanced NSCLC. RESULTS The median duration of follow-up was 899 days, with an interquartile range of 256-1486 days. In comparison to the lowest tertile of TyG-BMI, the highest tertile model demonstrated a significant association with worse OS (hazard ratio [HR]: 1.85; 95% confidence interval [CI]: 1.21-2.80; P = 0.001) and PFS (HR: 2.10; 95% CI: 1.40-3.10; P < 0.001). Each standard deviation increase in TyG-BMI corresponded to a 10% reduction in OS (95% CI: 1%-24%) and a 14% reduction in PFS (95% CI: 2%-27%). Subgroup analyses indicated that cigarette smokers and individuals with elevated C-reactive protein (CRP) levels exhibited a notably unfavorable prognosis in relation to TyG-BMI-associated advanced NSCLC, as evident in both OS (P for interaction: 0.046 for smoking) and PFS (P for interaction: 0.033 for smoking and 0.049 for CRP). CONCLUSION Our data revealed a causal relationship between TyG-BMI and an unfavorable prognosis in patients with advanced NSCLC. Furthermore, this independent association exhibits greater significance in individuals who are smokers and exhibit higher levels of CRP.
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Affiliation(s)
- Shaoming Guo
- Department of Thoracic Surgery, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, Jiangxi, China
| | - Yi Zhao
- Department of Surgery, Nanfang Hospital Baiyun Branch, Southern Medical University, Guangzhou 510460, Guangdong, China
| | - Yue Jiang
- Department of Thoracic Surgery, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, Jiangxi, China
| | - Huaping Ye
- Department of Thoracic Surgery, Suichuan County People's Hospital, Jinan 343900, Jiangxi, China
| | - Ying Wang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi 341000, China.
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18
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Ruan GT, Deng L, Xie HL, Shi JY, Liu XY, Zheng X, Chen Y, Lin SQ, Zhang HY, Liu CA, Ge YZ, Song MM, Hu CL, Zhang XW, Yang M, Hu W, Cong MH, Zhu LC, Wang KH, Shi HP. Systemic inflammation and insulin resistance-related indicator predicts poor outcome in patients with cancer cachexia. Cancer Metab 2024; 12:3. [PMID: 38273418 PMCID: PMC10809764 DOI: 10.1186/s40170-024-00332-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 01/12/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND The C-reactive protein (CRP)-triglyceride-glucose (TyG) index (CTI), which is a measure representing the level of inflammation and insulin resistance (IR), is related to poor cancer prognosis; however, the CTI has not been validated in patients with cancer cachexia. Thus, this study aimed to explore the potential clinical value of the CTI in patients with cancer cachexia. METHODS In this study, our prospective multicenter cohort included 1411 patients with cancer cachexia (mean age 59.45 ± 11.38, 63.3% male), which was a combined analysis of multiple cancer types. We randomly selected 30% of the patients for the internal test cohort (mean age 58.90 ± 11.22% 61.4% male). Additionally, we included 307 patients with cancer cachexia in the external validation cohort (mean age 61.16 ± 11, 58.5% male). Receiver operating characteristic (ROC) and calibration curves were performed to investigate the prognostic value of CTI. The prognostic value of the CTI was also investigated performing univariate and multivariate survival analyses. RESULTS The survival curve indicated that the CTI showed a significant prognostic value in the total, internal, and external validation cohorts. Prognostic ROC curves and calibration curves revealed that the CTI showed good consistency in predicting the survival of patients with cancer cachexia. Multivariate survival analysis showed that an elevated CTI increased the risk of death by 22% (total cohort, 95% confidence interval [CI] = 1.13-1.33), 34% (internal test cohort, 95%CI = 1.11-1.62), and 35% (external validation cohort, 95%CI = 1.14-1.59) for each increase in the standard deviation of CTI. High CTI reliably predicted shorter survival (total cohort, hazard ratio [HR] = 1.45, 95%CI = 1.22-1.71; internal test cohort, HR = 1.62, 95%CI = 1.12-2.36; external validation cohort, HR = 1.61, 95%CI = 1.15-2.26). High CTI significantly predicted shorter survival in different tumor subgroups, such as esophageal [HR = 2.11, 95%CI = 1.05-4.21] and colorectal cancer [HR = 2.29, 95%CI = 1.42-3.71]. The mediating effects analysis found that the mediating proportions of PGSGA, ECOG PS, and EORTC QLQ-C30 on the direct effects of CTI were 21.72%, 19.63%, and 11.61%, respectively We found that there was a significant positive correlation between the CTI and 90-day [HR = 2.48, 95%CI = 1.52-4.14] and 180-day mortality [HR = 1.77,95%CI = 1.24-2.55] in patients with cancer cachexia. CONCLUSION The CTI can predict the short- and long-term survival of patients with cancer cachexia and provide a useful prognostic tool for clinical practice.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Wen Hu
- Clinical Nutrition Department, Sichuan University West China Hospital, Chengdu, 610041, Sichuan, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100038, China
| | - Li-Chen Zhu
- Department of Immunology, School of Preclinical Medicine, Guangxi Medical University, Nanning, 530021, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, 650091, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, 650032, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.
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19
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Shi H, Guo F, Zheng K, Li R, Zhou H. Triglyceride-glucose index (TyG index) and endometrial carcinoma risk: A retrospective cohort study. Int J Gynaecol Obstet 2024; 164:298-304. [PMID: 37555382 DOI: 10.1002/ijgo.15038] [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: 01/21/2023] [Revised: 07/20/2023] [Accepted: 07/25/2023] [Indexed: 08/10/2023]
Abstract
OBJECTIVE We analyzed the association between the triglyceride-glucose index (TyG index) and incident endometrial carcinogenesis, aiming to determine whether the TyG index is a promising predictive biomarker for endometrial carcinoma (EC). METHODS In this retrospective cohort study, multiple logistic regression analysis was performed to evaluate the relationship between TyG index and EC incidence and progression. The receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC), as well as the cut-off value of the TyG index for EC incidence. RESULTS The TyG index was significantly higher in patients with EC or endometrial atypical hyperplasia (EAH) than in those with normal endometrium (P < 0.001). A continuous rise was observed in the incidence of EC and EAH among the tertiles of the TyG index (P < 0.001). The multiple logistic regression analysis revealed that the TyG index was associated with EC and EAH risk after adjusting for potential confounding factors (EAH: odds ratio [OR] 2.54, 95% confidence interval [CI] 1.33-4.85, P = 0.005; EC: OR 2.65, 95% CI 1.60-4.41, P < 0.001). Moreover, high TyG index was positively associated with advanced pathological stage (OR 2.14, 95% CI 1.32-3.47, P = 0.002) and poorer differentiation (OR 2.53, 95% CI 1.36-4.72, P = 0.004). CONCLUSION The TyG index might be a promising biomarker for endometrial carcinogenesis. Subjects with a higher TyG index should be aware of the risk of EC incidence and progression.
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Affiliation(s)
- Haimeng Shi
- Department of Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University Medical School, Nanjing, China
| | - Feifei Guo
- Department of Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University Medical School, Nanjing, China
| | - Kang Zheng
- Department of Anesthesiology, Nanjing Pukou District Hospital of Chinese Medicine, Nanjing, China
| | - Rong Li
- Department of Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University Medical School, Nanjing, China
| | - Huaijun Zhou
- Department of Gynecology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University Medical School, Nanjing, China
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20
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Du L, Xu X, Wu Y, Yao H. Association between the triglyceride glucose index and cardiovascular mortality in obese population. Nutr Metab Cardiovasc Dis 2024; 34:107-111. [PMID: 37949711 DOI: 10.1016/j.numecd.2023.08.007] [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: 06/13/2023] [Revised: 07/26/2023] [Accepted: 08/09/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND AND AIM The triglyceride and glucose (TyG) index, as a surrogate marker of insulin resistance, was related to increased mortality. Our study aimed to investigate the specific relationship between the TyG index and all-cause mortality among obese population. METHODS AND RESULTS 6731 participants with obesity were enrolled from the National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated as log [fasting triglycerides (mg/dL) x fasting glucose (mg/dL)/2]. The baseline levels of TyG associated with the risk of all-cause and cardiovascular mortality were evaluated by Cox proportional hazards models. After a follow-up of 16.7 years, 693 all-cause death and 133 cardiovascular deaths occurred. Dose-response curve showed that the association of the risk of all-cause mortality was non-linear (p = 0.019) and the corresponding TyG index ranged 8.78 to 9.64 for the lowest risk. Compared with the reference quartile of 8.79-9.22, the multivariate-adjusted hazards ratios were 1.32 ((95% confidence interval 1.03-1.70; p = 0.030) in the lowest quartile for all-cause mortality, and 0.55 (0.32-0.93; p = 0.025) in the second quartile for cardiovascular mortality. CONCLUSIONS TyG index was associated with the risk of all-cause mortality in obese participants and the level associated with the lowest risk was 8.78-9.64.
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Affiliation(s)
- Lin Du
- Department of Cardiology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Xiaotian Xu
- Department of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Yong Wu
- Department of Cardiology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Hongsu Yao
- Department of Anesthesiology, The Affiliated Hospital of Yangzhou University, Yangzhou, China.
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21
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Zhao DF. Value of C-Reactive Protein-Triglyceride Glucose Index in Predicting Cancer Mortality in the General Population: Results from National Health and Nutrition Examination Survey. Nutr Cancer 2023; 75:1934-1944. [PMID: 37873764 DOI: 10.1080/01635581.2023.2273577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/16/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Cancer is one of the leading causes of death. The current work aims to investigate the association between C-reactive protein-triglyceride glucose index (CTI) and the risk of incident cancer mortality and to evaluate the usefulness of CTI to refine the risk stratification of cancer mortality. METHODS The study enrolled 19,957 subjects from American National Health and Nutrition Examination Survey. CTI was defined as 0.412*Ln(CRP) + ln[T.G. (mg/dL) × FPG (mg/dL)/2]. Cox regression was performed to investigate the association. RESULTS During a follow-up of 215417.52 person-years, 736 subjects died due to malignant tumors, and the incidence of cancer mortality was 3.42 per 1,000 person-years. Kaplan-Meier curve revealed that the fourth quartile group had the lowest cancer mortality-free rate (Log-Rank p < 0.001). After full adjustment, each SD increase of CTI cast a 32.7% additional risk of incident cancer mortality. Furthermore, cancer mortality risk elevated proportionally with the increase of CTI. Finally, ROC and reclassification analyses supported the usefulness of CTI in improving the risk stratification of incident cancer mortality. CONCLUSION The study revealed a significant association between CTI and cancer mortality risk, suggesting the value of CTI in improving the risk stratification of incident cancer mortality. KEY MESAGESC-reactive protein-triglyceride glucose index (CTI) is positively associated with cancer mortality risk in the general population.The association was linear in the whole range of CTI.CTI could improve the risk prediction of cancer mortality in the general population.
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Affiliation(s)
- De-Feng Zhao
- Department of Thoracic Surgery, The First Hospital of China Medical University, Shenyang, China
- The 105th Class, Clinical Medicine ("5 + 3" Integration), China Medical University, Shenyang, China
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22
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Xing Y, Liu J, Gao Y, Zhu Y, Zhang Y, Ma H. Stronger Associations of TyG Index with Diabetes Than TyG-Obesity-Related Parameters: More Pronounced in Young, Middle-Aged, and Women. Diabetes Metab Syndr Obes 2023; 16:3795-3805. [PMID: 38028992 PMCID: PMC10676865 DOI: 10.2147/dmso.s433493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/07/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose The triglyceride glucose (TyG) index and TyG-related indicators have been proposed as a marker of insulin resistance. It is unclear which is the best indicator to predict diabetes mellitus (DM) in Chinese. This study aimed to investigate the predictive value of different biomarkers for the incidence of DM. Patients and methods Between January 2017 and December 2020, 5575 subjects who underwent health examinations in Hebei General Hospital were retrospectively included. The primary endpoint was new onset DM. Results During a median follow-up of 3.03 years, 133(2.39%) individuals developed DM. Multivariable cox proportional hazards models revealed that TyG index and TyG-related parameters were positively associated with DM risk. As the interaction analyses showed, there were significant interactions with sex and age levels in relation to DM risk (both P for interaction <0.05). Risk prediction for DM was significantly improved by adding TyG index to the baseline model using conventional diabetic risk factors in predicting DM at follow-up. Conclusion This population-based cohort study suggested a causal relationship between TyG index and DM after adjusting for other confounding factors. This independent and significant association was more apparent in females and subjects younger than 65 years. Compared with the TyG-BMI, TyG-WC, TyG-WHtR, the TyG index was a more effective predictor of DM.
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Affiliation(s)
- Yuling Xing
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Jing Liu
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Yu Gao
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, People’s Republic of China
| | - Yajun Zhu
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Yunjia Zhang
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Huijuan Ma
- Department of Endocrinology, The First Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
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Huang X, Cheng H, Yuan S, Ling Y, Tan S, Tang Y, Niu C, Lyu J. Triglyceride-glucose index as a valuable predictor for aged 65-years and above in critical delirium patients: evidence from a multi-center study. BMC Geriatr 2023; 23:701. [PMID: 37904099 PMCID: PMC10617052 DOI: 10.1186/s12877-023-04420-0] [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: 07/29/2023] [Accepted: 10/19/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND The triglyceride-glucose index (TyG), an established indicator of insulin resistance, is closely correlated with the prognosis of several metabolic disorders. This study aims to investigate the association between the TyG index and the incidence of critical delirium in patients aged 65 years and older. METHODS We focused on evaluating patients aged 65 years and older diagnosed with critical delirium. Data were obtained from the Medical Information Database for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression and restricted cubic spline (RCS) regression were used to determine the relationship between the TyG index and the risk of delirium. RESULTS Participants aged 65 years and older were identified from the MIMIC-IV (n = 4,649) and eICU-CRD (n = 1,844) databases. Based on optimal thresholds derived from RCS regression, participants were divided into two cohorts: Q1 (< 8.912), Q2 (≥ 8.912). The logistic regression analysis showed a direct correlation between the TyG index and an increased risk of critical delirium among ICU patients aged 65 and older. These findings were validated in the eICU-CRD dataset, and sensitivity analysis further strengthened our conclusions. In addition, the subgroup analysis revealed certain differences. CONCLUSION This study highlights a clear, independent relationship between the TyG index and the risk of critical delirium in individuals aged 65 years and older, suggesting the importance of the TyG index as a reliable cardio-cerebrovascular metabolic marker for risk assessment and intervention.
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Affiliation(s)
- Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, 510630, China
| | - Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Shanyuan Tan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yonglan Tang
- School of Nursing, Jinan University, Guangzhou, 510630, China
| | - Chen Niu
- Department of Neurology, Guihang Guiyang Hospital, Guiyang, Guizhou, 550000, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, 510630, People's Republic of China.
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Chen W, Ding S, Tu J, Xiao G, Chen K, Zhang Y, Huang R, Liao Y. Association between the insulin resistance marker TyG index and subsequent adverse long-term cardiovascular events in young and middle-aged US adults based on obesity status. Lipids Health Dis 2023; 22:65. [PMID: 37202751 DOI: 10.1186/s12944-023-01834-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/11/2023] [Indexed: 05/20/2023] Open
Abstract
BACKGROUND A lthough the triglyceride-glucose (TyG) index has been shown to closely correlate with cardiometabolic outcomes and predict cardiovascular events in many groups, it remains unclear whether obese status in young and middle-aged adults is associated with long-term unfavorable cardiovascular events. This warrants further investigation. METHODS This retrospective cohort study analyzed data from the National Health and Nutrition Examination Survey spanning the years 1999-2018, with follow-up for mortality status until December 31, 2019. To categorize participants based on the TyG level, the optimal critical value was determined through restricted cubic spline function analysis, dividing them into high and low TyG groups. The study assessed the relationship between TyG and cardiovascular events and all-cause mortality in young and middle-aged adults stratified by obesity status. Kaplan‒Meier and Cox proportional risk models were used to analyze the data. RESULTS During a follow-up period of 123 months, a high TyG index increased the risk of cardiovascular events by 63% (P = 0.040) and the risk of all-cause mortality by 32% (P = 0.010) in individuals after adjusting for all covariates. High TyG was shown to be linked to cardiovascular events in obese people (Model 3: HR = 2.42, 95% CI = 1.13-5.12, P = 0.020); however, there was no significant difference in TyG groups for nonobese adults in Model 3 (P = 0.08). CONCLUSIONS TyG was independently associated with harmful long-term cardiovascular events in young and middle-aged US populations, with a stronger association observed in those who were obese.
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Affiliation(s)
- Weihua Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Shan Ding
- Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361015, China
| | - Jiabin Tu
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Guitao Xiao
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Kaihong Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Yanbin Zhang
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China
| | - Rongchong Huang
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
| | - Ying Liao
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
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25
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Karadag I, Karakaya S, Akkan T, Demir B, Alkurt EG, Dogan M. The Potential Prognostic Marker TyG Index Predicts Time to Brain Metastasis at HER2 Positive Breast Cancer. Cancer Manag Res 2023; 15:311-317. [PMID: 36994110 PMCID: PMC10042251 DOI: 10.2147/cmar.s403445] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/14/2023] [Indexed: 03/31/2023] Open
Abstract
Background We aimed to investigate the prognostic significance of insulin resistance (IR) markers fasting triglyceride-glucose (TyG) index and triglyceride high-density lipoprotein cholesterol (TG/HDL-C) ratio in HER2-positive breast cancer (BC) patients with brain metastasis (BM). Methods In this single-center study, 120 patients who met the criteria were included. TyG and TG/HDL-C at the time of diagnosis were computed retrospectively. For TyG and TG/HDL-C, the median values of 9.32 and 2.95 were taken as the cut-off, respectively. TyG values <9.32 and <2.95 were considered low, and TG/HDL-C values ≥9.32 and ≥2.95 were considered high. Results The median overall survival (OS) was 47 months (95% CI: 40.54-53.45). Time to BM was 22 months (95% CI: 17.22-26.73). The median time to BM was 35 months (95% CI: 20.90-49.09) in the low TyG group and 15 months (95% CI: 8.92-21.07) in the high TyG group (p < 0.001). The time to BM was 27 months (95% CI: 20.49-33.50) in the low TG/HDL-C group and 20 months (95% CI: 16.76-23.23) in the high TG/HDL-C group (p=0.084). In the multivariate Cox regression analysis, the TyG index (HR: 20.98, 95% CI: 7.14-61.59, p < 0.001) was an independent risk factor for time to BM. Conclusion These findings suggest that the TyG index could be used as a predictive biomarker at the time of diagnosis for risk of time BM in patients with HER2-positive BC. The TyG index can be used as a standard potential marker with prospective studies confirming these data.
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Affiliation(s)
- Ibrahim Karadag
- Department of Medical Oncology, Hitit University Erol Olcok Training and Research Hospital, Corum, Turkey
| | - Serdar Karakaya
- Department of Medical Oncology, Health Science University, Atatürk Chest Diseases and Chest Surgery Training and Research Hospital, Ankara, Turkey
| | - Tolga Akkan
- Department of Endocrinology, Eskisehir City Hospital, Eskisehir, Turkey
| | - Bilgin Demir
- Department of Medical Oncology, Aydın Atatürk Public Hospital, Aydın, Turkey
| | - Ertugrul Gazi Alkurt
- Department of Surgical Oncology, Hitit University Erol Olcok Training and Research Hospital, Corum, Turkey
| | - Mutlu Dogan
- Department of Medical Oncology, Health Sciences University, Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital, Ankara, Turkey
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26
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Ruan GT, Xie HL, Hu CL, Liu CA, Zhang HY, Zhang Q, Wang ZW, Zhang X, Ge YZ, Lin SQ, Tang M, Song MM, Zhang XW, Liu XY, Zhang KP, Yang M, Yu KY, Wang KH, Hu W, Deng L, Cong MH, Shi HP. Comprehensive prognostic effects of systemic inflammation and Insulin resistance in women with breast cancer with different BMI: a prospective multicenter cohort. Sci Rep 2023; 13:4303. [PMID: 36922570 PMCID: PMC10017691 DOI: 10.1038/s41598-023-31450-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 03/11/2023] [Indexed: 03/17/2023] Open
Abstract
To investigate the prognostic value of systemic inflammation and insulin resistance in women with breast cancer with different body mass index (BMI). This multicenter, prospective study included 514 women with breast cancer. Multivariate survival analysis showed that patients with high C-reactive protein (CRP), high CRP to albumin ratio (CAR), high lymphocyte to CRP ratio (LCR), high low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (LHR), and high triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c) were significantly associated with worse prognosis. The mortality rate of patients with both high CAR and high LHR or both low LCR and high LHR were 3.91-fold or 3.89-fold higher than patients with both low CAR and low LHR or both high LCR and low LHR, respectively. Furthermore, the combination of LCR and LHR significantly predicted survival in patients within the high BMI group. The CRP, CAR, LCR, LHR, and TG/HDL-c were associated with poor survival in women with breast cancer. The combination of CAR and LHR or LCR and LHR could better predict the prognostic outcomes of women with breast cancer, while the combination of LCR and LHR could better predict the prognosis of those patients with overweight or obese patients.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, 650091, China.,General Surgery Clinical Medical Center of Yunnan Province, Kunming, 650032, China
| | - Wen Hu
- Clinical Nutrition Department, Sichuan University West China Hospital, Chengdu, 610041, Sichuan, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100038, China.
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
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Wen J, Pan Q, Du LL, Song JJ, Liu YP, Meng XB, Zhang K, Gao J, Shao CL, Wang WY, Zhou H, Tang YD. Association of triglyceride-glucose index with atherosclerotic cardiovascular disease and mortality among familial hypercholesterolemia patients. Diabetol Metab Syndr 2023; 15:39. [PMID: 36895032 PMCID: PMC9997009 DOI: 10.1186/s13098-023-01009-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 02/25/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is an inherited metabolic disorder with a high level of low-density lipoprotein cholesterol and the worse prognosis. The triglyceride-glucose (TyG) index, an emerging tool to reflect insulin resistance (IR), is positively associated with a higher risk of atherosclerotic cardiovascular disease (ASCVD) in healthy individuals, but the value of TyG index has never been evaluated in FH patients. This study aimed to determine the association between the TyG index and glucose metabolic indicators, insulin resistance (IR) status, the risk of ASCVD and mortality among FH patients. METHODS Data from National Health and Nutrition Examination Survey (NHANES) 1999-2018 were utilized. 941 FH individuals with TyG index information were included and categorized into three groups: < 8.5, 8.5-9.0, and > 9.0. Spearman correlation analysis was used to test the association of TyG index and various established glucose metabolism-related indicators. Logistic and Cox regression analysis were used to assess the association of TyG index with ASCVD and mortality. The possible nonlinear relationships between TyG index and the all-cause or cardiovascular death were further evaluated on a continuous scale with restricted cubic spline (RCS) curves. RESULTS TyG index was positively associated with fasting glucose, HbA1c, fasting insulin and the homeostatic model assessment of insulin resistance (HOMA-IR) index (all p < 0.001). The risk of ASCVD increased by 74% with every 1 unit increase of TyG index (95%CI: 1.15-2.63, p = 0.01). During the median 114-month follow-up, 151 all-cause death and 57 cardiovascular death were recorded. Strong U/J-shaped relations were observed according to the RCS results (p = 0.0083 and 0.0046 for all-cause and cardiovascular death). A higher TyG index was independently associated with both all-cause death and cardiovascular death. Results remained similar among FH patients with IR (HOMA-IR ≥ 2.69). Moreover, addition of TyG index showed helpful discrimination of both survival from all-cause death and cardiovascular death (p < 0.05). CONCLUSION TyG index was applicable to reflect glucose metabolism status in FH adults, and a high TyG index was an independent risk factor of both ASCVD and mortality.
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Affiliation(s)
- Jun Wen
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Qi Pan
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei-Lei Du
- Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, NanBai Xiang Avenue, Ouhai District, Wenzhou, 325000, China
| | - Jing-Jing Song
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Yu-Peng Liu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiang-Bin Meng
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Kuo Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Gao
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Chun-Li Shao
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Wen-Yao Wang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Hao Zhou
- Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, NanBai Xiang Avenue, Ouhai District, Wenzhou, 325000, China.
| | - Yi-Da Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China.
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Che B, Zhong C, Zhang R, Pu L, Zhao T, Zhang Y, Han L. Triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio as potential cardiovascular disease risk factors: an analysis of UK biobank data. Cardiovasc Diabetol 2023; 22:34. [PMID: 36797706 PMCID: PMC9936712 DOI: 10.1186/s12933-023-01762-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 02/03/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, two simple surrogate indicators of insulin resistance, have been demonstrated to predict cardiovascular disease (CVD). However, very few studies have investigated their associations with CVD in European populations. METHODS A total of 403,335 participants from the UK Biobank with data for TyG index and TG/HDL-C ratio and free from CVD at baseline were included. Cox models were applied to evaluate the association between TyG index and TG/HDL-C ratio and incident CVD. Mediation analyses were performed to evaluate the contribution of prevalent diabetes, hypertension, and dyslipidemia to observed associations. RESULTS During a median follow-up of 8.1 years, 19,754 (4.9%) individuals developed CVD, including 16,404 (4.1%) cases of CHD and 3976 (1.0%) cases of stroke. The multivariable-adjusted hazard ratios of total CVD in higher quartiles versus the lowest quartiles were 1.05, 1.05, and 1.19, respectively, for TyG index, and 1.07, 1.13, and 1.29, respectively, for TG/HDL-C ratio. There were significant trends toward an increasing risk of CVD across the quartiles of TyG index and TG/HDL-C ratio. In mediation analyses, dyslipidemia, type 2 diabetes, and hypertension explained 45.8%, 27.0%, and 15.0% of TyG index's association with CVD, respectively, and 40.0%, 11.8%, and 13.3% of TG/HDL-C ratio's association with CVD, respectively. CONCLUSIONS Elevated baseline TyG index and TG/HDL-C ratio were associated with a higher risk of CVD after adjustment for the well-established CVD risk factors. These associations were largely mediated by greater prevalence of dyslipidemia, type 2 diabetes, and hypertension.
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Affiliation(s)
- Bizhong Che
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, 159 Beijiao Road, Jiangbei District, Ningbo, 153000, Zhejiang, China.,Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, 215123, Jiangsu, China
| | - Chongke Zhong
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, 215123, Jiangsu, China
| | - Ruijie Zhang
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, 159 Beijiao Road, Jiangbei District, Ningbo, 153000, Zhejiang, China.,Hwa Mei Hospital, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Liyuan Pu
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, 159 Beijiao Road, Jiangbei District, Ningbo, 153000, Zhejiang, China.,Hwa Mei Hospital, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Tian Zhao
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, 159 Beijiao Road, Jiangbei District, Ningbo, 153000, Zhejiang, China.,Hwa Mei Hospital, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, 199 Renai Road, Industrial Park District, Suzhou, 215123, Jiangsu, China.
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, 159 Beijiao Road, Jiangbei District, Ningbo, 153000, Zhejiang, China. .,Hwa Mei Hospital, Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China.
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Liu Y, Yan C, Yin S, Wang T, Zhu M, Liu L, Jin G. Genetic risk, metabolic syndrome, and gastrointestinal cancer risk: A prospective cohort study. Cancer Med 2023; 12:597-605. [PMID: 35730595 PMCID: PMC9844643 DOI: 10.1002/cam4.4923] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/07/2022] [Accepted: 05/28/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Gastrointestinal (GI) cancer risk has been associated with metabolic syndrome (MetS), a surrogate indicator for unhealthy lifestyles, and a number of genetic loci, but the combined effect of MetS and genetic variants on GI cancer risk is uncertain. METHODS We included 430,036 participants with available MetS and genotype data from UK Biobank. During the follow-up time, 5494 incident GI cancer cases, including esophageal cancer, gastric cancer, and colorectal cancer, were identified. We created a GI polygenic risk score (GI-PRS) for overall GI cancer derived from three site-specific cancer PRSs. Cox proportional hazards regression was used to estimate the associations of MetS and GI-PRS with the risk of GI cancer. RESULTS MetS was significantly associated with 28% increment in GI cancer risk (hazard ratio [HR]MetS vs. non-MetS : 1.28, 95% confidence interval [CI]: 1.21-1.35, p < 0.0001), whereas a high GI-PRS (top quintile) was associated with 2.28-fold increase in risk (HRhigh vs. low : 2.28, 95% CI: 2.09-2.49, p < 0.0001). Compared with participants without MetS and at low genetic risk (bottom quintile of GI-PRS), those with MetS and at high genetic risk had 2.75-fold increase in GI cancer risk (HR: 2.75, 95% CI: 2.43-3.12, p < 0.0001). Additionally, MetS in comparison with no MetS had 1.49‰, 2.75‰, and 3.37‰ absolute risk increases in 5 years among participants at low, intermediate (quintiles 2-4 of GI-PRS) and high genetic risk, respectively, representing the number of subjects diagnosed as MetS causing a new GI cancer case in 5 years were 669, 364, and 296, respectively. CONCLUSIONS Metabolic and genetic factors may jointly contribute to GI cancer risk and may serve as predictors by quantitative measurements to identify high-risk populations of GI cancer for precise prevention.
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Affiliation(s)
- Yaqian Liu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Caiwang Yan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Shuangshuang Yin
- Digestive Endoscopy Department and General Surgery Department, The First Affiliated Hospital with Nanjing Medical University and Jiangsu Province Hospital, Nanjing, China
| | - Tianpei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Li Liu
- Digestive Endoscopy Department and General Surgery Department, The First Affiliated Hospital with Nanjing Medical University and Jiangsu Province Hospital, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
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30
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Wang K, Xu L, Liu L, Zhan S, Wang S, Song Y. Sex differences in the association between the change in triglyceride‑glucose index and cognitive decline: A population-based cohort study. J Affect Disord 2022; 316:42-49. [PMID: 35952934 DOI: 10.1016/j.jad.2022.08.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/14/2022] [Accepted: 08/06/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Previous studies indicated that insulin resistance (IR) was related to cognitive decline. This study aimed to investigate whether triglyceride-glucose (TyG) as a surrogate marker of IR can detect the association between IR and cognitive decline, and explore sex-specific association between the longitudinal change in TyG index and cognitive decline in the middle-aged and elderly population in China. METHODS Data from the China Health and Retirement Longitudinal Study, which include 2358 females and 2062 males, were used. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting blood glucose [mg/dL] / 2). Cognitive score was measured by word recall test and mental status test. Logistic regression was used to assess the association between change in TyG index and cognitive decline in men and women from 2011 to 2015, respectively. Subgroup analysis by age was also performed. RESULTS The fourth quartile of change in TyG index was significantly associated with the increased risk of decline in global cognition compared with the first quartile in men [odds ratio (OR) 1.32, 95 % CI 1.03 to 1.71]. Stratified by age groups, the significant association between TyG index and cognitive decline was only found in men aged under 60 years old (OR 1.51, 95 % CI 1.07 to 2.13). LIMITATIONS We only observed the association between TyG index and cognitive decline, but not the severity of the decline. CONCLUSIONS The increased TyG index is related to the risk of cognitive decline in men. This study provided new evidence for formulating sex-specific prevention and treatment strategies for cognitive decline.
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Affiliation(s)
- Kai Wang
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China; Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China; Shandong Institute of Endocrine & Metabolic Diseases, Jinan, China
| | - Lu Xu
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Lili Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Siyan Zhan
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China.
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - Yongfeng Song
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China; Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, China; Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, China; Shandong Institute of Endocrine & Metabolic Diseases, Jinan, China.
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31
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Wang F, He T, Wang G, Han T, Yao Z. Association of triglyceride glucose-body mass index with non-small cell lung cancer risk: A case-control study on Chinese adults. Front Nutr 2022; 9:1004179. [PMID: 36313086 PMCID: PMC9614218 DOI: 10.3389/fnut.2022.1004179] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background and objectives Insulin resistance (IR) is closely related to non-small-cell lung cancer (NSCLC) risk. Recently, triglyceride glucose-body mass index (TyG-BMI) has been recognized as one of the simple indexes of insulin resistance (IR). However, there are limited data on the relationship between TyG-BMI and NSCLC. Here, we investigated the association of TyG-BMI with NSCLC risk in Chinese adults. Methods This study consisted of 477 NSCLC cases and 954 healthy subjects. All participants were enrolled from 3201 Hospital affiliated to the Medical Department of Xi'an Jiaotong University. TyG-BMI was calculated based on the values of fasting blood glucose, triglyceride, and BMI. The association of TyG-BMI with NSCLC risk was estimated by logistic regression analysis. Results The mean value of TyG-BMI was statistically increased in patients with NSCLC compared to the control group (201.11 ± 28.18 vs. 174 ± 23.78, P < 0.01). There was a significant positive association between TyG-BMI and NSCLC (OR = 1.014; 95% CI 1.007-1.021; P < 0.001) after controlling for confounding factors. Moreover, the prevalence of NSCLC was significantly elevated in participants in the high TyG-BMI tertiles than those in the intermediate and low TyG-BMI tertiles (60.46% vs. 12.61% vs. 26.83%, P < 0.01). Importantly, TyG-BMI achieved a significant diagnostic accuracy for NSCLC, with an AUC (area under the curve) of 0.769 and a cutoff value of 184.87. Conclusion The findings suggest that TyG-BMI is a useful tool for assessing NSCLC risk. Thus, it is essential to follow up on high TyG-BMI, and lifestyle modification is needed to prevent NSCLC in people with high TyG-BMI.
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Affiliation(s)
- Feifei Wang
- Department of Oncology, The 3201 Hospital Affiliated to Medical Department of Xi’an Jiaotong University, Hanzhong, Shaanxi, China
| | - Ting He
- Department of Oncology, The 3201 Hospital Affiliated to Medical Department of Xi’an Jiaotong University, Hanzhong, Shaanxi, China
| | - Guoliang Wang
- Department of Orthopedics, Second Affiliated Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Tuo Han
- Department of Oncology Surgery, The 3201 Hospital Affiliated to Medical Department of Xi’an Jiaotong University, Hanzhong, Shaanxi, China
| | - Zhongqiang Yao
- Department of Oncology, The 3201 Hospital Affiliated to Medical Department of Xi’an Jiaotong University, Hanzhong, Shaanxi, China,*Correspondence: Zhongqiang Yao,
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Association between the TyG index and TG/HDL-C ratio as insulin resistance markers and the risk of colorectal cancer. BMC Cancer 2022; 22:1007. [PMID: 36138391 PMCID: PMC9503258 DOI: 10.1186/s12885-022-10100-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 09/19/2022] [Indexed: 11/24/2022] Open
Abstract
Background No previous prospective research has explored the association of the TyG (fasting triglyceride-glucose) index and TG/HDL-C ratio as insulin resistance markers with the risk of colorectal cancer (CRC) incidence in the Northern Chinese population. Methods In this prospective cohort study, we included 93,659 cancer-free participants with the measurements of TyG index and TG/HDL-C ratio. Participants were divided by the quartiles of the TyG index or TG/HDL-C ratio. The associations of TyG index, TG/HDL-C ratio, and their components with CRC risk were assessed using Cox proportional hazards regression models. Results During a median follow-up of 13.02 years, 593 incident CRC cases were identified. Compared with the lowest quartile of the TyG index (Q1), the risk of CRC was higher in persons in the third (Q3) and highest quartiles (Q4) of the TyG index, with corresponding multivariable-adjusted HRs (95% CI) of 1.36 (1.06, 1.76) and 1.50 (1.19, 1.91), respectively. The elevated risks of CRC incidence were observed in people in the second, third, and highest quartiles of the TG/HDL-C ratio groups, with corresponding multivariable-adjusted HRs (95% CI) of 1.33 (1.05, 1.70), 1.36 (1.07, 1.73) and 1.37 (1.07, 1.75), respectively. Conclusions Elevated TyG index and TG/HDL-C ratio were associated with a higher risk of developing CRC among adults in Northern China.
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Gentreau M, Reynes C, Sabatier R, Maller JJ, Meslin C, Deverdun J, Le Bars E, Raymond M, Berticat C, Artero S. Glucometabolic Changes Are Associated with Structural Gray Matter Alterations in Prodromal Dementia. J Alzheimers Dis 2022; 89:1293-1302. [PMID: 36031896 DOI: 10.3233/jad-220490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Glucometabolic changes, such as high glycemic load (GL) diet and insulin resistance (IR), are potential risk factor of Alzheimer's disease (AD). Yet, the effect of these factors on brain alterations that contribute to AD pathology has not been clearly demonstrated. OBJECTIVE We aimed to assess the relationship of GL and IR with gray matter volumes involved in prodromal dementia. METHODS GL and Triglyceride-Glucose (TyG) index, an IR surrogate marker, were calculated in 497 participants who underwent magnetic resonance imaging (MRI). The gray matter volumes most related to prodromal dementia/mild cognitive impairment (diagnosed in 18/158 participants during the 7-year follow-up) were identified using a data-driven machine learning algorithm. RESULTS Higher GL diet was associated with reduced amygdala volume. The TyG index was negatively associated with the hippocampus, amygdala, and putamen volumes. CONCLUSION These results suggest that GL and IR are associated with lower gray matter volumes in brain regions involved in AD pathology.
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Affiliation(s)
- Mélissa Gentreau
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | | | - Robert Sabatier
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Jerome J Maller
- Monash Alfred Psychiatry Research Centre, Melbourne, Victoria, Australia.,General Electric Healthcare, Richmond, Melbourne, Australia
| | - Chantal Meslin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Jeremy Deverdun
- I2FH, Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Emmanuelle Le Bars
- I2FH, Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Michel Raymond
- ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Claire Berticat
- ISEM, University of Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Sylvaine Artero
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
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34
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The relationship between Triglyceride and glycose (TyG) index and the risk of gynaecologic and breast cancers. Clin Nutr ESPEN 2022; 51:345-352. [DOI: 10.1016/j.clnesp.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/06/2022] [Accepted: 08/06/2022] [Indexed: 11/21/2022]
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35
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Ruan GT, Xie HL, Gong YZ, Ge YZ, Zhang Q, Wang ZW, Zhang X, Zhang HY, Tang M, Song MM, Zhang XW, Yang M, Chen YB, Yu KY, Deng L, Wang KH, Cong MH, Shi HP. Prognostic importance of systemic inflammation and insulin resistance in patients with cancer: a prospective multicenter study. BMC Cancer 2022; 22:700. [PMID: 35752767 PMCID: PMC9233357 DOI: 10.1186/s12885-022-09752-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/07/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Systemic inflammation and insulin resistance (IR) are often associated with poor prognosis in cancer. This study aimed to investigate the prognostic value of surrogate systemic inflammation and IR indices in patients with cancer. METHODS This multicenter prospective study included 5,221 patients with cancer, with a mean age of 59.41±11.15 years, of whom 3,061 (58.6%) were male. The surrogate IR indices included low-density lipoprotein cholesterol to high-density lipoprotein cholesterol (LHR) ratio, total cholesterol to high-density lipoprotein cholesterol (TC/ HDL-c) ratio, triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio, and fasting triglyceride glucose (TyG). Prognostic receiver operator characteristic (ROC) curves and C-indices were used to select a better surrogate IR index in patients with cancer. The prognostic value of the indicators was evaluated using univariate and multivariate survival analyses. RESULTS In this study, the median survival time of patients was 44.5 (40.5-51.4) months, and the overall mortality in the 12-month period was 1,115 (53.7%), with 196 mortality events per 1,000 patient-years of patients' follow-up. The prognostic ROC curve and C-index suggested that the prognostic value of LHR was better than that of the other IR indices. The multivariate-adjusted hazard ratios (HRs) for overall survival (OS) were higher in patients with high C-reactive protein (CRP) (HR, 1.51; 95% confidence interval [CI]: 1.38-1.65) and high LHR (HR, 1.20; 95% CI: 1.06-1.37), respectively. The mortality rate of patients with both high CRP and LHR was 1.75-fold higher than that of patients with both low CRP and LHR. CONCLUSION Both CRP and LHR showed good survival predictions in patients with cancer. CRP combined with LHR can improve the predictive power of patients with cancer.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Yi-Zhen Gong
- Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous, Region, 530021, P.R. China.,Guangxi Clinical Research Center for Colorectal Cancer, Nanning, Guangxi Zhuang Autonomous, Region, 530021, P.R. China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Yong-Bing Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kun-Hua Wang
- Yunnan university, Kunming, 650091, China. .,General surgery clinical medical center of Yunnan province, Kunming, 650032, China.
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100038, China.
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
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36
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Sun M, Bjørge T, Teleka S, Engeland A, Wennberg P, Häggström C, Stocks T. Interaction of leisure-time physical activity with body mass index on the risk of obesity-related cancers: a pooled study. Int J Cancer 2022; 151:859-868. [PMID: 35362551 PMCID: PMC9546504 DOI: 10.1002/ijc.34011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 11/08/2022]
Abstract
Physical activity (PA) has been associated with a lower risk of some obesity-related cancers, but the combined association and interaction of PA and body weight on obesity-related cancer risk is less clear. We examined the association of leisure-time PA (high/low) and its combination with body mass index (BMI, <25 [low]/≥25 [high] kg/m2 ) on obesity-related cancer risk in 570 021 individuals, aged 43 years on average at baseline, in five Scandinavian cohorts. We used Cox regression to calculate hazard ratios of obesity-related cancers (n = 19 074) and assessed multiplicative and additive interactions between PA and BMI on risk. High leisure-time PA, recorded in 19% of the individuals, was associated with a 7% (95% confidence interval [CI] 4-10%) lower risk of any obesity-related cancer compared to low PA, with similar associations amongst individuals with a low and a high BMI (6% [1-11%] and 7% [2-11%]). High PA was also associated with decreased risks of renal cell (11% [9-31%]) and colon cancer (9% [2-16%]). When high PA and low BMI were combined, the relative risk reduction for all obesity-related cancers was 24% (95% CI 20-28%); endometrial cancer, 47% (35-57%); renal cell cancer, 39% (27-51%); colon cancer, 27% (19-35%); multiple myeloma, 23% (2-40%); and pancreatic cancer, 21% (4-35%), compared to low PA-high BMI. There were no additive or multiplicative interactions between PA and BMI on risk. The result of this study suggests a reduced risk of obesity-related cancer by leisure-time PA in both normal weight and overweight individuals, which further decreased for PA and normal weight combined.
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Affiliation(s)
- Ming Sun
- Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Tone Bjørge
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Cancer Registry of Norway, Oslo, Norway
| | - Stanley Teleka
- Department of Clinical Sciences in Lund, Lund University, Lund, Sweden.,Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Anders Engeland
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Division of Mental and Physical Health, Norwegian Institute of Public Health, Bergen, Norway
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Christel Häggström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Northern Register Centre, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tanja Stocks
- Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
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37
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Ke P, Wu X, Xu M, Feng J, Xu H, Gan Y, Wang C, Deng Z, Liu X, Fu W, Tian Q, He Y, Zhong L, Jiang H, Lu Z. Comparison of obesity indices and triglyceride glucose-related parameters to predict type 2 diabetes mellitus among normal-weight elderly in China. Eat Weight Disord 2022; 27:1181-1191. [PMID: 34195936 DOI: 10.1007/s40519-021-01238-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 06/01/2021] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Although a significant proportion of type 2 diabetes mellitus (T2DM) cases arose from normal-weight individuals, studies on indicators of T2DM in normal-weight people are limited. Accordingly, this study aims to investigate the predictive value of obesity indices and triglyceride glucose-related parameters (TyG-related parameters) in T2DM among normal-weight Chinese elderly. METHODS A total of 24,215 normal-weight Chinese elderly (age ≥ 60 years) [body mass index-BMI (18.5-23.9 kg/m2)] were included. Obesity indices and triglyceride glucose-related parameters (TyG-related parameters) included waist circumference (WC), waist-to-height ratio (WHtR), visceral adiposity index (VAI), lipid accumulation product (LAP), and TyG-related parameters (TyG, TyG-BMI, TyG-WC, and TyG-WHtR). Multivariate logistic regression analysis was performed to examine the associations between obesity- and TyG-related indices and T2DM. The areas under the curve (AUC) of the receiver-operating characteristic (ROC) curve analyses were used to evaluate and compare the predictive value of the different indices. RESULTS The prevalence of T2DM was 14.2% in normal-weight individuals. Among the indices, TyG was significantly associated with T2DM among men and women, respectively, (adjusted odds ratio-aOR per SD 3.46; 95% CI 3.23-3.71) and (aOR per SD 3.64; 95% CI 3.43-3.86). Compared with other indices, TyG had the highest AUC value for T2DM in men (AUC: 0.818, 95% CI 0.810-0.825) and women (AUC: 0.824, 95% CI 0.814-0.833). CONCLUSIONS TyG is an effective marker and outperforms other indices when predicting T2DM in the normal-weight Chinese elderly population. LEVEL OF EVIDENCE Level V: Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.
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Affiliation(s)
- Pan Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xia Wu
- Baoan District Songgang People's Hospital, Shenzhen, Guangdong, China
| | - Minzhi Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Jie Feng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Hongbin Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Chao Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Zhenyu Deng
- Baoan District Songgang People's Hospital, Shenzhen, Guangdong, China
| | - Xiang Liu
- Baoan District Songgang People's Hospital, Shenzhen, Guangdong, China
| | - Wenning Fu
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qingfeng Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yan He
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Lirong Zhong
- School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Heng Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, 3086, Australia.
- School of Population and Global Health, Centre for Health Equity, University of Melbourne, MelbourneMelbourne, VIC, Australia.
| | - Zuxun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China.
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38
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Fernandes I, Oliveira J, Pinho A, Carvalho E. The Role of Nutraceutical Containing Polyphenols in Diabetes Prevention. Metabolites 2022; 12:metabo12020184. [PMID: 35208257 PMCID: PMC8878446 DOI: 10.3390/metabo12020184] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 01/27/2023] Open
Abstract
Research in pharmacological therapy has led to the availability of many antidiabetic agents. New recommendations for precision medicine and particularly precision nutrition may greatly contribute to the control and especially to the prevention of diabetes. This scenario greatly encourages the search for novel non-pharmaceutical molecules. In line with this, the daily and long-term consumption of diets rich in phenolic compounds, together with a healthy lifestyle, may have a protective role against the development of type 2 diabetes. In the framework of the described studies, there is clear evidence that the bio accessibility, bioavailability, and the gut microbiota are indeed affected by: the way phenolic compounds are consumed (acutely or chronically; as pure compounds, extracts, or in-side a whole meal) and the amount and the type of phenolic compounds (ex-tractable or non-extractable/macromolecular antioxidants, including non-bioavailable polyphenols and plant matrix complexed structures). In this review, we report possible effects of important, commonly consumed, phenolic-based nutraceuticals in pre-clinical and clinical diabetes studies. We highlight their mechanisms of action and their potential effects in health promotion. Translation of this nutraceutical-based approach still requires more and larger clinical trials for better elucidation of the mechanism of action toward clinical applications.
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Affiliation(s)
- Iva Fernandes
- Laboratório Associado para a Química Verde—REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 687, 4169-007 Porto, Portugal;
| | - Joana Oliveira
- Laboratório Associado para a Química Verde—REQUIMTE, Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 687, 4169-007 Porto, Portugal;
- Correspondence: (J.O.); (E.C.)
| | - Aryane Pinho
- Center for Neuroscience and Cell Biology, Faculdade de Medicina, University of Coimbra, Rua Larga, Polo I, 1º Andar, 3004-504 Coimbra, Portugal; or
- Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal
| | - Eugenia Carvalho
- Center for Neuroscience and Cell Biology, Faculdade de Medicina, University of Coimbra, Rua Larga, Polo I, 1º Andar, 3004-504 Coimbra, Portugal; or
- Instituto de Investigação Interdisciplinar, University of Coimbra, Casa Costa Alemão, Rua Dom Francisco de Lemos, 3030-789 Coimbra, Portugal
- APDP—Portuguese Diabetes Association, 1250-189 Lisbon, Portugal
- Correspondence: (J.O.); (E.C.)
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39
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Dashti SG, Simpson JA, Viallon V, Karahalios A, Moreno‐Betancur M, Brasky T, Pan K, Rohan TE, Shadyab AH, Thomson CA, Wild RA, Wassertheil‐Smoller S, Ho GYF, Strickler HD, English DR, Gunter MJ. Adiposity and breast, endometrial, and colorectal cancer risk in postmenopausal women: Quantification of the mediating effects of leptin, C-reactive protein, fasting insulin, and estradiol. Cancer Med 2022; 11:1145-1159. [PMID: 35048536 PMCID: PMC8855919 DOI: 10.1002/cam4.4434] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/05/2021] [Accepted: 10/09/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Mechanisms underlying the adiposity-cancer relationship are incompletely understood. We quantified the mediating roles of C-reactive protein (CRP), leptin, fasting insulin, and estradiol in the effect of adiposity on estrogen receptor (ER)-positive breast, endometrial, and colorectal cancer risk in postmenopausal women. METHODS We used a case-cohort study within the Women's Health Initiative Observational Study, analyzed as a cumulative sampling case-control study. The study included 188 breast cancer cases, 98 endometrial cancer cases, 193 colorectal cancer cases, and 285 controls. Interventional indirect and direct effects on the risk ratio (RR) scale were estimated using causal mediation analysis. RESULTS For breast cancer, the total effect RR for BMI ≥30 versus ≥18.5-<25 kg/m2 was 1.87 (95%CI,1.11-3.13). The indirect effect RRs were 1.38 (0.79-2.33) through leptin and CRP, 1.58 (1.17-2.43) through insulin, and 1.11 (0.98-1.30) through estradiol. The direct effect RR was 0.82 (0.39-1.68). For endometrial cancer, the total effect RR was 2.12 (1.12-4.00). The indirect effect RRs were 1.72 (0.85-3.98) through leptin and CRP, 1.42 (0.96-2.26) through insulin, and 1.24 (1.03-1.65) through estradiol. The direct effect RR was 0.70 (0.23-2.04). For colorectal cancer, the total effect RR was 1.70 (1.03-2.79). The indirect effect RRs were 1.04 (0.61-1.72) through leptin and CRP, 1.36 (1.00-1.88) through insulin, and 1.02 (0.88-1.17) through estradiol. The direct effect RR was 1.16 (0.58-2.43). CONCLUSION Leptin, CRP, fasting insulin, and estradiol appear to mediate the effect of high BMI on cancer risk to different extents, with likely varying degrees of importance between cancers. These insights might be important in developing interventions to modify obesity-associated cancer risk in postmenopausal women.
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Affiliation(s)
- S. Ghazaleh Dashti
- Clinical Epidemiology and Biostatistics UnitMurdoch Children’s Research InstituteMelbourneAustralia
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global HealthThe University of MelbourneMelbourneAustralia
| | - Julie A. Simpson
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global HealthThe University of MelbourneMelbourneAustralia
| | - Vivian Viallon
- Nutrition and Metabolism BranchInternational Agency for Research on Cancer (IARC)LyonFrance
| | - Amalia Karahalios
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global HealthThe University of MelbourneMelbourneAustralia
| | - Margarita Moreno‐Betancur
- Clinical Epidemiology and Biostatistics UnitMurdoch Children’s Research InstituteMelbourneAustralia
- Clinical Epidemiology and Biostatistics UnitDepartment of PaediatricsUniversity of MelbourneMelbourneAustralia
| | - Theodore Brasky
- The Ohio State University College of MedicineColumbusOhioUSA
| | - Kathy Pan
- Hematology/OncologyKaiser Permanente DowneyDowneyCaliforniaUSA
| | - Thomas E. Rohan
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of CaliforniaSan DiegoUSA
| | - Cynthia A. Thomson
- Health Promotion SciencesMel & Enid Zickerman College of Public HealthUniversity of Arizona Cancer CenterTucsonArizonaUSA
| | - Robert A. Wild
- Obstetrics and Gynecology, Biostatistics and EpidemiologyOklahoma University Health Sciences CentreOklahoma CityOklahomaUSA
| | | | - Gloria Y. F. Ho
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Howard D. Strickler
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Dallas R. English
- Centre for Epidemiology and BiostatisticsMelbourne School of Population and Global HealthThe University of MelbourneMelbourneAustralia
| | - Marc J. Gunter
- Nutrition and Metabolism BranchInternational Agency for Research on Cancer (IARC)LyonFrance
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40
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Jiao Y, Su Y, Shen J, Hou X, Li Y, Wang J, Liu B, Qiu D, Sun Z, Chen Y, Xi Q, Shen M, Fu Z. Evaluation of the long-term prognostic ability of triglyceride-glucose index for elderly acute coronary syndrome patients: a cohort study. Cardiovasc Diabetol 2022; 21:3. [PMID: 34991602 PMCID: PMC8740408 DOI: 10.1186/s12933-021-01443-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/29/2021] [Indexed: 12/13/2022] Open
Abstract
Background With the advancement of the world population aging, more attention should be paid to the prognosis of elderly patients with acute coronary syndrome (ACS). Triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance (IR) and is closely related to traditional risk factors of cardiovascular disease (CVD). However, the effect of TyG index on the prognosis of long-term adverse events in elderly ACS patients has not been reported. This study evaluated the prognostic power of TyG index in predicting adverse events in elderly ACS patients. Methods In this study, 662 ACS patients > 80 years old who were hospitalized from January 2006 to December 2012 were enrolled consecutively and the general clinical data and baseline blood biochemical indicators were collected. The follow-up time after discharge was 40–120 months (median, 63 months; interquartile range, 51‒74 months). In addition, the following formula was used to calculate the TyG index: Ln [fasting TG (mg/dL) × FBG (mg/dL)/2], and patients were divided into three groups according to the tertile of the TyG index. Results The mean age of the subjects was 81.87 ± 2.14 years, the proportion of females was 28.10%, and the mean TyG index was 8.76 ± 0.72. The TyG index was closely associated with the traditional risk factors of CVD. In the fully-adjusted Cox regression model, the Hazard ratio (95% CI) of all-cause mortality (in tertile 3) was 1.64 (1.06, 2.54) and major adverse cardiac event (MACE) (in tertile 3) was 1.36 (1.05, 1.95) for each SD increase in the TyG index. The subgroup analyses also confirmed the significant association of the TyG index and long-term prognosis. Conclusion The TyG index is an independent predictor of long-term all-cause mortality and MACE in elderly ACS patients.
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Affiliation(s)
- Yang Jiao
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Yongkang Su
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.,Department of Geriatrics, The Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jian Shen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Xiaoling Hou
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Ying Li
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Jihang Wang
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.,Department of Cardiology, Hainan Hospital, Chinese PLA General Hospital, Sanya, 572000, Hainan, China
| | - Bing Liu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.,Department of Cardiology, 970 Hospital, Chinese PLA Joint Logistic Support Force, Weihai, 264200, Shandong, China
| | - Dongfeng Qiu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Zhijun Sun
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Yundai Chen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China
| | - Qing Xi
- The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Mingzhi Shen
- Department of Cardiology, Hainan Hospital, Chinese PLA General Hospital, Sanya, 572000, Hainan, China.
| | - Zhenhong Fu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital and Chinese PLA Medical School, Beijing, 100853, China.
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41
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Ruan GT, Xie HL, Zhang HY, Liu CA, Ge YZ, Zhang Q, Wang ZW, Zhang X, Tang M, Song MM, Zhang XW, Yang M, Chen YB, Yu KY, Deng L, Gong YZ, Hu W, Wang KH, Cong MH, Shi HP. A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer. Front Endocrinol (Lausanne) 2022; 13:905266. [PMID: 35795140 PMCID: PMC9252441 DOI: 10.3389/fendo.2022.905266] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/18/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Systemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related marker in patients with cancer. METHODS The total cohort of this study included 5221 patients with cancer, and the training and validation cohorts were randomized in a 7:3 ratio. C-reactive protein (CRP) and fasting triglyceride glucose (TyG) were used to reflect patients' inflammation and IR status, respectively. The CRP-TyG index (CTI) was composed of CRP and TyG. The concordance (C)-index, receiver operator characteristic (ROC) curve, and calibration curve reflected the prognostic predictive power of CTI. Univariate and multivariate survival analyses predicted the prognostic value of CTI in patients with cancer. RESULTS The C-indices of CTI in patients with cancer were 0.636, 0.617, and 0.631 in the total, training, and validation cohorts, respectively. The 1-, 3-, and 5-year ROC and calibration curves showed that CTI had a good predictive ability of survival in patients with cancer. Meanwhile, patients with high CTI had a worse prognosis compared to patients with low CTI (total cohort: hazard ratio [HR] = 1.46, 95% confidence interval [95% CI] = 1.33-1.59; training cohort: HR = 1.36, 95% CI = 1.22-1.52; validation cohort: HR = 1.73, 95% CI = 1.47-2.04]. CONCLUSION The CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yong-Bing Chen
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yi-Zhen Gong
- Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, China
| | - Wen Hu
- Clinical Nutrition Department, Sichuan University West China Hospital, Chengdu, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, China
- *Correspondence: Han-Ping Shi, ; Kun-Hua Wang, ; Ming-Hua Cong,
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Han-Ping Shi, ; Kun-Hua Wang, ; Ming-Hua Cong,
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- *Correspondence: Han-Ping Shi, ; Kun-Hua Wang, ; Ming-Hua Cong,
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Wang H, Yan F, Cui Y, Chen F, Wang G, Cui W. Association between triglyceride glucose index and risk of cancer: A meta-analysis. Front Endocrinol (Lausanne) 2022; 13:1098492. [PMID: 36714554 PMCID: PMC9877418 DOI: 10.3389/fendo.2022.1098492] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/19/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Triglyceride glucose (TyG) index as a more convenient and reliable predictor of insulin resistance (IR) is thought to be associated with many diseases, but its relationship with cancer remains unclear. METHODS The meta-analysis was conducted to evaluate the effects of TyG index on cancer risk utilizing the available evidence. PubMed, EMBASE, Medline, Cochrane Library and Web of Science were searched from their inception up to July 2022. A random-effects model was used to calculate the effect estimates and 95% confidence intervals (CIs). RESULTS A total of 6 observational studies met our inclusion criteria, which including 992292 participants. The meta-analysis indicated that the higher TyG index increased cancer risk compared to the lower TyG index group (total effect size =1.14, 95% CI [1.08, 1.20], P<0.001). CONCLUSIONS Our meta-analysis found that higher TyG index may increase the risk of cancer. More prospective cohort studies and basic research are warranted to verify the relationship.
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Affiliation(s)
- Huan Wang
- Department of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, China
| | - Feifei Yan
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
| | - Yani Cui
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
| | - Feinan Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
| | - Guixia Wang
- Department of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, China
- *Correspondence: Guixia Wang, ; Weiwei Cui,
| | - Weiwei Cui
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China
- *Correspondence: Guixia Wang, ; Weiwei Cui,
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Li W, Liu T, Qian L, Wang Y, Ma X, Cao L, Zhang Q, Qu J. Insulin resistance and inflammation mediate the association of abdominal obesity with colorectal cancer risk. Front Endocrinol (Lausanne) 2022; 13:983160. [PMID: 36407320 PMCID: PMC9669084 DOI: 10.3389/fendo.2022.983160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The close association of abdominal obesity rather than general obesity with colorectal cancer (CRC) risk might be mediated by IR and inflammation, which has never been systematically explored in large-scale prospective studies. METHODS We prospectively examined the mediation effects of the fasting triglyceride-glucose (TyG) index and C-reactive protein (CRP) on the associations of obesity (general and abdominal) with CRC risk among 93,659 participants. We used the Cox proportional hazards regression models and subgroup analyses to evaluate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) of CRC. The CAUSALMED procedure was used to perform the mediation analyses. RESULTS During 13.02 years of follow-up, a total of 586 CRC cases were verified. Male participants with general obesity and abdominal obesity had a 1.29-fold and a 1.28-fold increased risk of CRC. However, a significant association was only observed among female individuals with abdominal obesity. Both TyG index and CRP were associated with an elevated risk of CRC, and A significant interaction between the TyG index and CRP was found for the risk of CRC (P for interaction<0.05). CRP and the TyG index significantly mediated the positive association between abdominal obesity and CRC risk. CONCLUSION CRP and TyG index increased the risk of CRC independently and synergistically. Mediation effects of CRP and the TyG index were found for the association between abdominal obesity and CRC risk.
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Affiliation(s)
- Wenqiang Li
- Department of General Surgery, Aerospace Center Hospital, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China
| | - Liang Qian
- Department of Obstetrics and Gynecology, Hangzhou Women’s Hospital, Hangzhou, China
| | - Yiming Wang
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, China
| | - Xiangming Ma
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, China
| | - Liying Cao
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, China
| | - Qingsong Zhang
- Department of General Surgery, Kailuan General Hospital, Tangshan, China
- *Correspondence: Jun Qu, ; Qingsong Zhang,
| | - Jun Qu
- Department of General Surgery, Aerospace Center Hospital, Beijing, China
- *Correspondence: Jun Qu, ; Qingsong Zhang,
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Wang L, Si S, Li J, Li Y, Chen X, Xue F, Ren W. Triglyceride-Glucose Index Is Not Associated With Lung Cancer Risk: A Prospective Cohort Study in the UK Biobank. Front Oncol 2021; 11:774937. [PMID: 34869022 PMCID: PMC8635521 DOI: 10.3389/fonc.2021.774937] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/29/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a practical substitute measure for insulin resistance (IR). The relationship between IR and lung cancer has been examined in previous studies; however, the findings have been controversial. In addition, previous studies had small sample sizes. Thus, we systematically examined the association between IR and lung cancer risk based on the UK Biobank with IR measured by the TyG index and further examined the interactions and joint effects for lung cancer. METHODS A total of 324,334 individuals free from any type of cancer at recruitment from the UK Biobank prospective cohort were included. The participants were predominantly between 40 and 70 years old. After adjusting for relevant confounders, multivariable Cox regression models were constructed to examine the relationship between the TyG index and the risk of lung cancer. We also checked the interactions and joint effects using a polygenic risk score (PRS) for lung cancer. RESULTS During a median follow-up of 9 years, 1,593 individuals were diagnosed with lung cancer. No association was found between the TyG index and lung cancer risk after multivariate Cox regression analysis adjusted for risk factors (hazard ratio: 0.91; 95% confidence interval: 0.64-1.18). No interaction or joint effects for genetic risk and the TyG index were observed. CONCLUSION The TyG index was not associated with the risk of lung cancer. Our results provide limited evidence that IR is not correlated with the risk of lung cancer.
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Affiliation(s)
- Lijie Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Shucheng Si
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Jiqing Li
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Yunxia Li
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Xiaolu Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Fuzhong Xue
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, Shandong University, Jinan, China
| | - Wangang Ren
- Department of Thoracic Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Klement RJ, Meyer D, Kanzler S, Sweeney RA. Ketogenic diets consumed during radio-chemotherapy have beneficial effects on quality of life and metabolic health in patients with rectal cancer. Eur J Nutr 2021; 61:69-84. [PMID: 34175978 DOI: 10.1007/s00394-021-02615-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 06/08/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE Interest in ketogenic diets (KDs) as complementary nutritional treatments for cancer patients is rising, although some skepticism about their safety exists. We, therefore, studied the effects of KDs on quality of life and blood parameters in rectal cancer patients undergoing radio-chemotherapy. METHODS EORTC-QLQ30 questionnaire scores and different metabolic and hormonal blood parameters were obtained prior to, in the middle of and at the end of radiotherapy within the KETOCOMP study (ClinicalTrials.gov Identifier: NCT02516501). A total of 18 patients consuming a KD were compared to 23 patients consuming their standard diet (SD). Baseline-end differences were measured using Wilcoxon tests, and repeated measures analysis was performed using linear mixed effects models. RESULTS Eighty-nine percent of patients on the KD reported subjectively feeling good or very good, but roughly half of them rated the daily routine implementation as difficult. Only the SD group experienced significant declines in physical and role functioning, while the KD group improved in role (p = 0.045), emotional (p = 0.018) and social functioning (p = 0.009).Urinary frequency, buttock pain and fatigue significantly increased in the SD group, but to a much lesser extent in the KD group. Several biomarkers of metabolic health (gamma-glutamyl-transpeptidase, triglyceride-glucose index, HDL cholesterol/triglyceride ratio, and free T3) improved in the KD, but not the SD group. CONCLUSIONS Despite being perceived as difficult to implement by ≈50% of patients, KDs are feasible as complementary therapies alongside radio-chemotherapy and associated with subjective well-being. The hypothesis that they exert beneficial effects on quality of life and metabolic health in rectal cancer patients is supported by our data. TRIAL REGISTRATION ClinicalTrials.gov identifier NCT02516501, registered Aug 6th 2015.
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Affiliation(s)
- Rainer J Klement
- Department of Radiation Oncology, Leopoldina Hospital Schweinfurt, Robert-Koch-Straße 10, 97422, Schweinfurt, Germany.
| | - Detlef Meyer
- Darmzentrum Leopoldina Hospital, Schweinfurt, Germany
| | | | - Reinhart A Sweeney
- Department of Radiation Oncology, Leopoldina Hospital Schweinfurt, Robert-Koch-Straße 10, 97422, Schweinfurt, Germany.,Darmzentrum Leopoldina Hospital, Schweinfurt, Germany
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Yan X, Gao Y, Tong J, Tian M, Dai J, Zhuang Y. Association Between Triglyceride Glucose Index and Non-Small Cell Lung Cancer Risk in Chinese Population. Front Oncol 2021; 11:585388. [PMID: 33777737 PMCID: PMC7990872 DOI: 10.3389/fonc.2021.585388] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 01/25/2021] [Indexed: 01/08/2023] Open
Abstract
Background Numerous studies showed that insulin resistance (IR) was associated with cancer risk. However, few studies investigated the relationship between IR and non-small cell lung cancer (NSCLC). The aim of this study is to explore the association of triglyceride glucose (TyG) index, a simple surrogate marker of IR, with NSCLC risk. Methods 791 histologically confirmed NSCLC cases and 787 controls were enrolled in the present study. Fasting blood glucose and triglyceride were measured. The TyG index was calculated as ln [fasting triglycerides (mg/dl) ×fasting glucose (mg/dl)/2]. Logistic regression analysis was performed to estimate the relationship between NSCLC risk and the TyG index. Results The TyG index was significantly higher in patients with NSCLC than that in controls (8.42 ± 0.55 vs 8.00 ± 0.45, P < 0.01). Logistic regression analysis showed that the TyG index (OR = 3.651, 95%CI 2.461–5.417, P < 0.001) was independently associated with NSCLC risk after adjusting for conventional risk factors. In addition, a continuous rise in the incidence of NSCLC was observed along the tertiles of the TyG index (29.4 vs 53.8 vs 67.2%, P < 0.001). However, there were no differences of the TyG index in different pathological or TNM stages. In receiver operating characteristic (ROC) curve analysis, the optimal cut-off level for the TyG index to predict incident NSCLC was 8.18, and the area under the ROC curve (AUROC) was 0.713(95% CI 0.688–0.738). Conclusions The TyG index is significantly correlated with NSCLC risk, and it may be suitable as a predictor for NSCLC.
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Affiliation(s)
- Xin Yan
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yujuan Gao
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jingzhi Tong
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Mi Tian
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jinghong Dai
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Yi Zhuang
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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Si S, Li J, Li Y, Li W, Chen X, Yuan T, Liu C, Li H, Hou L, Wang B, Xue F. Causal Effect of the Triglyceride-Glucose Index and the Joint Exposure of Higher Glucose and Triglyceride With Extensive Cardio-Cerebrovascular Metabolic Outcomes in the UK Biobank: A Mendelian Randomization Study. Front Cardiovasc Med 2021; 7:583473. [PMID: 33553250 PMCID: PMC7863795 DOI: 10.3389/fcvm.2020.583473] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 12/14/2020] [Indexed: 12/13/2022] Open
Abstract
Background: The causal evidence of the triglyceride-glucose (TyG) index, as well as the joint exposure of higher glucose and triglyceride on the risk of cardio-cerebrovascular diseases (CVD), was lacking. Methods: A comprehensive factorial Mendelian randomization (MR) was performed in the UK Biobank cohort involving 273,368 individuals with European ancestry to assess and quantify these effects. The factorial MR, MR-PRESSO, MR-Egger, meta-regression, sensitivity analysis, positive control, and external verification were utilized. Outcomes include major outcomes [overall CVD, ischemic heart diseases (IHD), and cerebrovascular diseases (CED)] and minor outcomes [angina pectoris (AP), acute myocardial infarction (AMI), chronic IHD (CIHD), heart failure (HF), hemorrhagic stroke (HS), and ischemic stroke (IS)]. Results: The TyG index significantly increased the risk of overall CVD [OR (95% CI): 1.20 (1.14-1.25)], IHD [OR (95% CI): 1.22 (1.15-1.29)], CED [OR (95% CI): 1.14 (1.05-1.23)], AP [OR (95% CI): 1.29 (1.20-1.39)], AMI [OR (95% CI): 1.27 (1.16-1.39)], CIHD [OR (95% CI): 1.21 (1.13-1.29)], and IS [OR (95% CI): 1.22 (1.06-1.40)]. Joint exposure to genetically higher GLU and TG was significantly associated with a higher risk of overall CVD [OR (95% CI): 1.17 (1.12-1.23)] and IHD [OR (95% CI): 1.22 (1.16-1.29)], but not with CED. The effect of GLU and TG was independent of each other genetically and presented dose-response effects in bivariate meta-regression analysis. Conclusions: Lifelong genetic exposure to higher GLU and TG was jointly associated with higher cardiac metabolic risk while the TyG index additionally associated with several cerebrovascular diseases. The TyG index could serve as a more sensitive pre-diagnostic indicator for CVD while the joint GLU and TG could offer a quantitative risk for cardiac metabolic outcomes.
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Affiliation(s)
- Shucheng Si
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Shandong University, Jinan, China.,National Institute of Health Data Science of China, Jinan, China
| | - Jiqing Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yunxia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wenchao Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaolu Chen
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Tonghui Yuan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Congcong Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hongkai Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Shandong University, Jinan, China.,National Institute of Health Data Science of China, Jinan, China
| | - Lei Hou
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bojie Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Shandong University, Jinan, China.,National Institute of Health Data Science of China, Jinan, China
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Liu XC, He GD, Lo K, Huang YQ, Feng YQ. The Triglyceride-Glucose Index, an Insulin Resistance Marker, Was Non-linear Associated With All-Cause and Cardiovascular Mortality in the General Population. Front Cardiovasc Med 2021; 7:628109. [PMID: 33521071 PMCID: PMC7840600 DOI: 10.3389/fcvm.2020.628109] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 12/11/2020] [Indexed: 01/05/2023] Open
Abstract
Background: The triglyceride-glucose (TyG) index could serve as a convenient substitute of insulin resistance (IR), but epidemiological evidence on its relationship with the long-term risk of mortality is limited. Methods: Participants from the National Health and Nutrition Examination Survey during 1999–2014 were grouped according to TyG index (<8, 8–9, 9–10, >10). Cox regression was conducted to compute the hazard ratios (HRs) and 95% confidence interval (CI). Restricted cubic spline and piecewise linear regression were performed to detect the shape of the relationship between TyG index and mortality. Results: A total of 19,420 participants (48.9% men) were included. On average, participants were followed-up for 98.2 months, and 2,238 (11.5%) and 445 (2.3%) cases of mortality due to all-cause or cardiovascular disease were observed. After adjusting for confounders, TyG index was independently associated with an elevated risk of all-cause (HR, 1.10; 95% CI, 1.00–1.20) and cardiovascular death (HR, 1.29; 95% CI, 1.05–1.57). Spline analyses showed that the relationship of TyG index with mortality was non-linear (All non-linear P < 0.001), and the threshold value were 9.36 for all-cause and 9.52 for cardiovascular death, respectively. The HRs above the threshold point were 1.50 (95% CI, 1.29–1.75) and 2.35 (95% CI, 1.73–3.19) for all-cause and cardiovascular death. No significant difference was found below the threshold points (All P > 0.05). Conclusion: Elevated TyG index reflected a more severe IR and was associated with mortality due to all-cause and cardiovascular disease in a non-linear manner.
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Affiliation(s)
- Xiao-Cong Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Guo-Dong He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kenneth Lo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Department of Epidemiology, Center for Global Cardio-Metabolic Health, Brown University, Providence, RI, United States.,Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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49
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Dashti SG, English DR, Simpson JA, Karahalios A, Moreno-Betancur M, Biessy C, Rinaldi S, Ferrari P, Tjønneland A, Halkjær J, Dahm CC, Vistisen HT, Menegaux F, Perduca V, Severi G, Aleksandrova K, Schulze MB, Masala G, Sieri S, Tumino R, Macciotta A, Panico S, Hiensch AE, May AM, Quirós JR, Agudo A, Sánchez MJ, Amiano P, Colorado-Yohar S, Ardanaz E, Allen NE, Weiderpass E, Fortner RT, Christakoudi S, Tsilidis KK, Riboli E, Kaaks R, Gunter MJ, Viallon V, Dossus L. Adiposity and Endometrial Cancer Risk in Postmenopausal Women: A Sequential Causal Mediation Analysis. Cancer Epidemiol Biomarkers Prev 2021; 30:104-113. [PMID: 33008875 DOI: 10.1158/1055-9965.epi-20-0965] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/06/2020] [Accepted: 09/28/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Adiposity increases endometrial cancer risk, possibly through inflammation, hyperinsulinemia, and increasing estrogens. We aimed to quantify the mediating effects of adiponectin (anti-inflammatory adipocytokine); IL6, IL1-receptor antagonist, TNF receptor 1 and 2, and C-reactive protein (inflammatory status biomarkers); C-peptide (hyperinsulinemia biomarker); and free estradiol and estrone (estrogen biomarkers) in the adiposity-endometrial cancer link in postmenopausal women. METHODS We used data from a case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC). Eligible women did not have cancer, hysterectomy, and diabetes; did not use oral contraceptives or hormone therapy; and were postmenopausal at recruitment. Mediating pathways from adiposity to endometrial cancer were investigated by estimating natural indirect (NIE) and direct (NDE) effects using sequential mediation analysis. RESULTS The study included 163 cases and 306 controls. The adjusted OR for endometrial cancer for body mass index (BMI) ≥30 versus ≥18.5-<25 kg/m2 was 2.51 (95% confidence interval, 1.26-5.02). The ORsNIE were 1.95 (1.01-3.74) through all biomarkers [72% proportion mediated (PM)] decomposed as: 1.35 (1.06-1.73) through pathways originating with adiponectin (33% PM); 1.13 (0.71-1.80) through inflammation beyond (the potential influence of) adiponectin (13% PM); 1.05 (0.88-1.24) through C-peptide beyond adiponectin and inflammation (5% PM); and 1.22 (0.89-1.67) through estrogens beyond preceding biomarkers (21% PM). The ORNDE not through biomarkers was 1.29 (0.54-3.09). Waist circumference gave similar results. CONCLUSIONS Reduced adiponectin and increased inflammatory biomarkers, C-peptide, and estrogens mediated approximately 70% of increased odds of endometrial cancer in women with obesity versus normal weight. IMPACT If replicated, these results could have implications for identifying targets for intervention to reduce endometrial cancer risk in women with obesity.
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Affiliation(s)
- S Ghazaleh Dashti
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Australia
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Julie A Simpson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amalia Karahalios
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Margarita Moreno-Betancur
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Carine Biessy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - Sabina Rinaldi
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - Pietro Ferrari
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | | | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | | | | | - Vittorio Perduca
- Laboratoire de Mathématiques Appliquées à Paris 5-MAP5 (UMR CNRS 8145), Université Paris Descartes, Université de Paris, Paris, France
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, CESP U1018 INSERM, Villejuif, France
- Gustave Roussy, Villejuif, France
- Department of Statistics, Computer Science, Applications "G. Parenti," University of Florence, Florence, Italy
| | - Krasimira Aleksandrova
- Nutrition, Immunity and Metabolism Senior Scientist Group, Department of Nutrition and Gerontology, German Institute of Human Nutrition, Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Matthias B Schulze
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP) Ragusa, Ragusa, Italy
| | - Alessandra Macciotta
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Salvatore Panico
- Dipoartimento Di Medicina Clinica E Chirurgia, Federico II University, Naples, Italy
| | - Anouk E Hiensch
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, Nutrition and Cancer Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universidad de Granada, Granada, Spain
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Sandra Colorado-Yohar
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Naomi E Allen
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Elisabete Weiderpass
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | | | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- MRC Centre for Transplantation, King's College London, London, United Kingdom
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - Vivian Viallon
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | - Laure Dossus
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
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50
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Emerenziani S, Pier Luca Guarino M, Trillo Asensio LM, Altomare A, Ribolsi M, Balestrieri P, Cicala M. Role of Overweight and Obesity in Gastrointestinal Disease. Nutrients 2019; 12:nu12010111. [PMID: 31906216 PMCID: PMC7019431 DOI: 10.3390/nu12010111] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 11/28/2019] [Accepted: 12/20/2019] [Indexed: 02/07/2023] Open
Abstract
The prevalence of obesity is increasing worldwide, leading to a severe impairment of overall health. Actually, obesity has been associated with several pathological conditions, causing an excess overall mortality. In particular, overweight and obesity are well known risk factors for a variety of gastrointestinal (GI) disorders i.e., functional GI disorders as well as, inflammatory bowel disease (IBD), pancreatitis, and GI cancer. The aim of the present review is to summarize the potential role of overweight and obesity in GI disease with particular focus on plausible biological mechanisms that could explain the association between obesity and GI disease based on the most recent evidence in the literature.
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Affiliation(s)
- Sara Emerenziani
- Correspondence: (S.E.); (L.M.T.A.); Tel.: +39-06225411690 (S.E. & L.M.T.A.)
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