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Fryk E, Rodrigues Silva VR, Strindberg L, Strand R, Ahlström H, Michaëlsson K, Kullberg J, Lind L, Jansson PA. Metabolic profiling of galectin-1 and galectin-3: a cross-sectional, multi-omics, association study. Int J Obes (Lond) 2024; 48:1180-1189. [PMID: 38777863 PMCID: PMC11281902 DOI: 10.1038/s41366-024-01543-1] [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: 09/28/2023] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVES Experimental studies indicate a role for galectin-1 and galectin-3 in metabolic disease, but clinical evidence from larger populations is limited. METHODS We measured circulating levels of galectin-1 and galectin-3 in the Prospective investigation of Obesity, Energy and Metabolism (POEM) study, participants (n = 502, all aged 50 years) and characterized the individual association profiles with metabolic markers, including clinical measures, metabolomics, adipose tissue distribution (Imiomics) and proteomics. RESULTS Galectin-1 and galectin-3 were associated with fatty acids, lipoproteins and triglycerides including lipid measurements in the metabolomics analysis adjusted for body mass index (BMI). Galectin-1 was associated with several measurements of adiposity, insulin secretion and insulin sensitivity, while galectin-3 was associated with triglyceride-glucose index (TyG) and fasting insulin levels. Both galectins were associated with inflammatory pathways and fatty acid binding protein (FABP)4 and -5-regulated triglyceride metabolic pathways. Galectin-1 was also associated with several proteins related to adipose tissue differentiation. CONCLUSIONS The association profiles for galectin-1 and galectin-3 indicate overlapping metabolic effects in humans, while the distinctly different associations seen with fat mass, fat distribution, and adipose tissue differentiation markers may suggest a functional role of galectin-1 in obesity.
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Affiliation(s)
- Emanuel Fryk
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Vagner Ramon Rodrigues Silva
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lena Strindberg
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Robin Strand
- Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Håkan Ahlström
- Division of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Karl Michaëlsson
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Joel Kullberg
- Division of Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Antaros Medical AB, BioVenture Hub, Mölndal, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Per-Anders Jansson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Kunutsor SK, Seidu S, Kurl S, Laukkanen JA. Baseline and usual triglyceride-glucose index and the risk of chronic kidney disease: a prospective cohort study. GeroScience 2024; 46:3035-3046. [PMID: 38180700 PMCID: PMC11009217 DOI: 10.1007/s11357-023-01044-5] [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: 10/24/2023] [Accepted: 12/11/2023] [Indexed: 01/06/2024] Open
Abstract
Triglyceride-glucose (TyG) index is an emerging marker of adverse cardiometabolic conditions such as cardiovascular disease and type 2 diabetes. The long-term relevance of TyG index to chronic kidney disease (CKD) is uncertain. We aimed to assess the association of TyG index with CKD risk and its utility in risk prediction in a prospective study. The TyG index was calculated using fasting triglycerides and fasting plasma glucose (FPG) levels measured in 2362 men aged 42-61 years with normal kidney function using the formula: Ln (fasting triglycerides [mg/dL] × FPG [mg/dL]/2). Multivariable adjusted hazard ratios (HRs) (95% confidence intervals, CIs) were estimated for CKD. Correction for within-person variability was made using data from repeat measurements of triglycerides and FPG taken 11 years after baseline. Over a median follow-up duration of 17.5 years, 223 CKD cases were recorded. The age-adjusted regression dilution ratio for the TyG index was 0.54 (95% CI, 0.48-0.60). The risk of CKD increased continuously with increasing TyG index across the range 9.3 to 11.6 (p value for nonlinearity<.001). In analysis adjusted for established risk factors, a unit higher TyG index was associated with an increased risk of CKD (HR 1.59, 95% CI 1.24-2.05). Comparing extreme tertiles of the TyG index, the corresponding adjusted HR (95% CI) for CKD was 1.61 (1.15-2.27). Addition of the TyG index to a CKD risk prediction model containing established risk factors improved risk discrimination and reclassification (p value for difference in -2 log likelihood<.001; NRI=47.66%, p=.014; IDI=0.0164, p<.001). Higher TyG index is associated with an increased risk of CKD and improves the prediction and classification of CKD beyond established risk factors. Using single baseline estimations of the TyG index to investigate its association with CKD risk could considerably under-estimate the true association.
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Affiliation(s)
- Setor K Kunutsor
- Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4WP, UK.
| | - Samuel Seidu
- Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4WP, UK
| | - Sudhir Kurl
- Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jari A Laukkanen
- Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Wellbeing Services County of Central Finland, Department of Medicine, Jyväskylä, Finland
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Ca J, Joshi A, Ishaq M, Adoor G, V M, Jampugumpula H, R K, Sanjay BG, Bhupathiraju PK. Triglyceride-Fasting Glucose Index and Homeostatic Model Assessment for Insulin Resistance as Predictors of Type 2 Diabetes Mellitus in South Indians With Normal Body Mass Index. Cureus 2024; 16:e62742. [PMID: 39036225 PMCID: PMC11260200 DOI: 10.7759/cureus.62742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2024] [Indexed: 07/23/2024] Open
Abstract
INTRODUCTION Early detection of type 2 diabetes mellitus (T2DM) is imperative to prevent the complications associated with the disease. Current guidelines for diagnosis rely on the assessment of serum glucose (fasting and post-prandial) and glycosylated hemoglobin (HbA1c) levels. Insulin resistance, a phenomenon associated with T2DM, has been observed before the changes in these metrics. The homeostatic model assessment for insulin resistance (HOMA-IR) has been widely used to assess the degree of insulin resistance. The triglyceride-fasting glucose (TyG) index is a newer marker of insulin resistance that merits further study. Aim: The study aimed to assess the validity of the TyG index and HOMA-IR as markers for the development of T2DM in non-obese individuals. Materials and methods: One hundred eight non-obese patients without T2DM were included in this prospective cohort study and followed up for eight years. Anthropometric and biochemical parameters, including fasting glucose levels, HbA1c, fasting serum insulin, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG), were measured at enrolment and eight years follow-up, and HOMA-IR and TyG index were calculated. Results: Twenty participants out of 108 (18.5%) developed T2DM over eight years. On performing the area under the curve (AUC)-receiver operating characteristic curve analysis, TyG of >8.61 and HOMA-IR of >1.5 had the highest validity (ability) to predict new-onset T2DM in the study population (TyG: AUC: 0.612 (95% CI: 0.514-0.705); HOMA-IR: AUC: 0.529 (95% CI: 0.431-0.626)); however, this was not statistically significant. Conclusion: At an eight-year follow-up, TyG and HOMA-IR were unreliable predictors of the development of T2DM in non-obese individuals.
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Affiliation(s)
- Jayashankar Ca
- Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND
| | - Amey Joshi
- Internal Medicine, University of Michigan Health-Sparrow, Lansing, USA
| | - Mohammed Ishaq
- Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND
| | - Gurucharan Adoor
- Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND
| | - Mahesh V
- Community and Family Medicine, Chamarajanagar Institute of Medical Sciences, Chamarajanagar, IND
| | | | - Kavitha R
- General Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND
| | - Bhangdiya G Sanjay
- Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND
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Korkmaz Y, Dik B. The comparison of the antidiabetic effects of exenatide, empagliflozin, quercetin, and combination of the drugs in type 2 diabetic rats. Fundam Clin Pharmacol 2024; 38:511-522. [PMID: 38149676 DOI: 10.1111/fcp.12975] [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: 07/11/2023] [Revised: 11/23/2023] [Accepted: 12/07/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Type 2 diabetes, a metabolic disease that involves extended treatment, is rapidly increasing in humans and animals worldwide. OBJECTIVES This study aimed to compare monotherapy and combined therapy of exenatide, empagliflozin, and quercetin in 67 Wistar Albino male rats. METHODS The animals were divided into the following seven groups: healthy control, diabetes control, diabetes + sham, diabetes + exenatide (10 μg/kg), diabetes + empagliflozin (50 mg/kg), diabetes + quercetin (50 mg/kg), and diabetes + combination treatment. The treatments were continued for 8 weeks. RESULTS At the end of the experiment, glucose and HbA1c levels decreased with all monotherapy treatments and the combination treatments, while insulin levels increased with exenatide and combined treatments. Adiponectin levels increased with empagliflozin, quercetin, and combined treatments, while leptin levels decreased only with combined treatments. All monotherapies caused an increase in total antioxidant levels. Exenatide and quercetin treatments reduced low-density lipoprotein (LDL) levels; therewithal, exenatide and combined treatments increased high-density lipoprotein (HDL) levels. Triglyceride levels decreased in all treatment groups. The homeostatic model assessment for insulin resistance (HOMA-IR) level decreased with the combined treatment; on the contrary, the homeostatic model assessment for β-cell activity (HOMA-β) level increased with empagliflozin, exenatide, and combined treatments. CONCLUSION In conclusion, the antidiabetic effects of exenatide were more pronounced than empagliflozin and quercetin, however, the combined treatment had better antidiabetic and antihyperlipidemic effects than monotherapies. Quercetin could be a supportive or food supplement antidiabetic agent. The exenatide treatment can be recommended for monotherapy in type 2 patients, and the combination of empagliflozin, exenatide, and quercetin may be effective in diabetic patients who need combined therapy.
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Affiliation(s)
- Yasemin Korkmaz
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Selcuk University, Konya, Turkey
| | - Burak Dik
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Selcuk University, Konya, Turkey
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Mehraeen E, Abbaspour F, Banach M, SeyedAlinaghi S, Zarebidoki A, Tamehri Zadeh SS. The prognostic significance of insulin resistance in COVID-19: a review. J Diabetes Metab Disord 2024; 23:305-322. [PMID: 38932824 PMCID: PMC11196450 DOI: 10.1007/s40200-024-01385-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 12/31/2023] [Indexed: 06/28/2024]
Abstract
Objectives Emerging publications indicate that diabetes predisposes patients with COVID-19 to more severe complications, which is partly attributed to inflammatory condition. In the current review, we reviewed recent published literature to provide evidence on the role of insulin resistance (IR) in diabetes, the association between diabetes and COVID-19 severity and mortality, the impact of COVID-19 infection on incident new-onset diabetes, mechanisms responsible for IR in COVID-19 patients, and the predictive value of different surrogates of IR in COVID-19. Method The literature search performs to find out studies that have assessed the association between IR surrogates and morbidity and mortality in patients with COVID-19. Results We showed that there is a bulk of evidence in support of the fact that diabetes is a potent risk factor for enhanced morbidity and mortality in COVID-19 patients. COVID-19 patients with diabetes are more prone to remarkable dysglycemia compared to those without diabetes, which is associated with an unfavourable prognosis. Furthermore, SARS-COV2 can make patients predispose to IR and diabetes via activating ISR, affecting RAAS signaling pathway, provoking inflammation, and changing the expression of PPARɣ and SREBP-1. Additionally, higher IR is associated with increased morbidity and mortality in COVID-19 patients and different surrogates of IR can be utilized as a prognostic biomarker for COVID-19 patients. Conclusion Different surrogates of IR can be utilized as predictors of COVID-19 complications and death.
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Affiliation(s)
- Esmaeil Mehraeen
- Department of Health Information Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran
| | - Faeze Abbaspour
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Maciej Banach
- Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), 93338 Lodz, Poland
| | - SeyedAhmad SeyedAlinaghi
- Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran
| | - Ameneh Zarebidoki
- School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Seyed Saeed Tamehri Zadeh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Parvaneh Street, Velenjak, P.O. Box 19395-4763, Tehran, Iran
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Babaahmadi-Rezaei H, Raeisizadeh M, Zarezade V, Noemani K, Mashkournia A, Ghaderi-Zefrehi H. Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS). Diabetol Metab Syndr 2024; 16:112. [PMID: 38783371 PMCID: PMC11112906 DOI: 10.1186/s13098-024-01349-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is a cluster of risk factors related to diabetes and cardiovascular disease (CVD). Given that early identification of MetS might decrease CVD risk, it is imperative to establish a simple and cost-effective method to identify individuals at risk of MetS. The purpose of this study was to explore the relationships between several atherogenic indices (including AIP, TyG index, non-HDL-C, LDL-c/HDL-c, and TC/HDL-c) and MetS, and to assess the ability of these indices to predict MetS. METHODS The present cross-sectional study was conducted using baseline data from 9809 participants of the Hoveyzeh Cohort Study (HCS). MetS was defined based on the International Diabetes Federation (IDF). To examine the discriminatory abilities of each atherogenic indices in the identification of MetS, a receiver-operating characteristic curve was conducted. Logistic regression analysis was also performed to evaluate the relationship between atherogenic indices and MetS. RESULTS All of the atherogenic indices including the TyG index, AIP, non-HDL-C, TC/HDL-c, and LDL-c/HDL-c were significantly higher in participants with MetS than in those without MetS. According to the ROC curve analysis, the TyG index revealed the highest area under the curve (0.79 and 0.85 in men and women, respectively), followed by the AIP (0.76 and 0.83 in men and women, respectively). The best cutoff values for the TyG index and AIP were 8.96 and 0.16 for men and 8.84 and 0.05 for women, respectively. The TyG index and AIP were also strongly associated with MetS. CONCLUSION Among the 5 atherogenic indices evaluated, the TyG index and AIP were strongly related to MetS. The TyG index also demonstrated superior discriminative ability compared to other atherogenic indices in predicting MetS.
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Affiliation(s)
- Hossein Babaahmadi-Rezaei
- Hyperlipidemia Research Center, Department of Clinical Biochemistry, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maedeh Raeisizadeh
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Kourosh Noemani
- Department of Disease Prevention and Control, Deputy of Health Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ahmad Mashkournia
- Department of Internal Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hossein Ghaderi-Zefrehi
- Hyperlipidemia Research Center, Department of Clinical Biochemistry, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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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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Qin Y, Qiao Y, Yan G, Wang D, Tang C. Relationship between indices of insulin resistance and incident type 2 diabetes mellitus in Chinese adults. Endocrine 2024:10.1007/s12020-024-03830-3. [PMID: 38642289 DOI: 10.1007/s12020-024-03830-3] [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: 02/13/2024] [Accepted: 04/09/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Insulin resistance (IR) is a pivotal pathogenesis characteristic of type 2 diabetes mellitus (T2DM). The current study aimed to explore the association between triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c), triglyceride-glucose (TyG), and triglyceride glucose-body mass index (TyG-BMI), and T2DM incidence. METHODS A total of 116,855 Chinese adults aged over 20 without diabetes were included. Multivariate Cox regression analysis and restricted cubic spine were utilized to investigate the association between IR indicators and T2DM. The T2DM risk across different quartiles of IR parameters was compared using Kaplan-Meier curves. The receiver operating characteristic analysis was used to investigate the predictive potential of each IR indicator for future T2DM. RESULTS A total of 2685 participants developed T2DM during a median follow-up of 2.98 years. The adjusted hazard ratios (HR) of incident T2DM were 1.177, 2.766, and 1.1018 for TG/HDL-c, TyG, and TyG-BMI, respectively. There were significant increasing trends of T2DM across the quartiles of TG/HDL-c, TyG, and TyG-BMI. The HRs of new-onset T2DM in the highest quartiles versus the lowest quartile of TG/HDL-c, TyG, and TyG-BMI were 3.298, 8.402, and 8.468. RCS revealed the nonlinear relationship between IR and T2DM risk. The correlations between IR and T2DM were more pronounced in subjects aged <40. TyG-BMI had the highest predictive value for incident T2DM (AUC = 0.774), with a cut-off value of 213.289. CONCLUSION TG/HDL-c, TyG, and TyG-BMI index were all significantly positively associated with higher risk for future T2DM. Baseline TyG-BMI level had high predictive value for the identification of T2DM.
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Affiliation(s)
- Yuhan Qin
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Yong Qiao
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
| | - Gaoliang Yan
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Dong Wang
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Chengchun Tang
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
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Lee MJ, Bae JH, Khang AR, Yi D, Yun MS, Kang YH. Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers. Diabetes Res Clin Pract 2024; 210:111640. [PMID: 38548110 DOI: 10.1016/j.diabres.2024.111640] [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: 01/19/2024] [Revised: 03/01/2024] [Accepted: 03/25/2024] [Indexed: 04/01/2024]
Abstract
AIMS We explored the role of the triglyceride-glucose (TyG) index as an early and superior predictor of type 2 diabetes mellitus (T2DM) in individuals with normal glucose tolerance (NGT) using a community-based Korean cohort over 18 years. METHODS We retrospectively examined 6,072 adults with NGT from the Korean Genome and Epidemiology Study. Cox proportional hazard regression models were employed to evaluate the risk of incidence of T2DM and receiver operating characteristic analysis was used to calculate the area under the curve (AUC). RESULTS At baseline, the TyG index correlated with the homeostasis model assessment of insulin resistance (HOMA-IR) and the composite insulin sensitivity index (ISI) (β: 0.045, p < 0.001; β: -0.105, p < 0.001, respectively). Over the 18-year follow-up period, 999 individuals developed T2DM. An increase in the TyG quartile independently predicted the incidence of T2DM [hazard ratio, 2.36 (1.9-2.93) for Q4]. The AUC value of the TyG index was 0.642, the highest value among HOMA-IR and OGTT-derived insulin sensitivity and secretion markers. CONCLUSIONS The TyG index is associated with HOMA-IR and composite ISI even with NGT. The TyG index demonstrated independent predictability for T2DM incidence in individuals with NGT, better than OGTT-derived insulin sensitivity and secretion markers.
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Affiliation(s)
- Min Jin Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea; Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Ji Hyun Bae
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea; Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Ah Reum Khang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea; Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Dongwon Yi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea; Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Mi Sook Yun
- Division of Biostatistics, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Yang Ho Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea; Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea.
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10
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Weyman-Vela Y, Guerrero-Romero F, Simental-Mendía LE. The triglycerides and glucose index is more strongly associated with metabolically healthy obesity phenotype than the lipid and obesity indices. J Endocrinol Invest 2024; 47:865-871. [PMID: 37768526 DOI: 10.1007/s40618-023-02201-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023]
Abstract
PURPOSE The triglycerides and glucose (TyG) index is a reliable biomarker for estimating insulin resistance; however, evidence regarding the use of the TyG index in individuals with metabolically healthy obesity (MHO) is scarce. Thus, we examined the association between the TyG index and the MHO phenotype. METHODS Apparently healthy men and women aged 18 years or more with obesity (body mass index [BMI] ≥ 30 kg/m2) were allocated into the following groups: MHO and metabolically unhealthy obesity (MUO). The MHO phenotype was defined by obesity and the absence of the following metabolic disorders: elevated triglyceride concentrations, elevated glucose levels, elevated blood pressure, and low HDL-C. The MUO was defined by individuals with obesity and at least one of the aforementioned cardiovascular risk factors. RESULTS A total 827 individuals, 605 (73.1%) women and 222 (26.9%) men were enrolled and allocated into the MHO (n = 104) and MUO (n = 723) groups. The adjusted regression analysis by age, sex, BMI, and waist circumference showed that fasting glucose (OR = 0.90; 95% CI: 0.88-0.93), and triglycerides (OR = 0.97; 95% CI: 0.96-0.98), as well as the triglycerides/HDL-C (OR = 0.18; 95% CI: 0.13-0.26), lipid accumulation product (OR = 0.95; 95% CI: 0.93-0.96), visceral adipose index (OR = 0.38; 95% CI: 0.31-0.46), and TyG index (OR = 0.001; 95% CI: 0.000-0.004) are inversely associated with the MHO, while the HDL-C (OR = 1.10; 95% CI: 1.07-1.12) had a direct association. CONCLUSIONS Our results show that the TyG index is more strongly associated with the MHO phenotype than the lipid and obesity indices.
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Affiliation(s)
- Y Weyman-Vela
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Delegación Durango, Durango, México
| | - F Guerrero-Romero
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Delegación Durango, Durango, México
| | - L E Simental-Mendía
- Unidad de Investigación Biomédica, Instituto Mexicano del Seguro Social, Delegación Durango, Durango, México.
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11
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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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12
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Zhao X, Yao T, Song B, Fan H, Liu T, Gao G, Wang K, Lu W, Liu C. The combination of body mass index and fasting plasma glucose is associated with type 2 diabetes mellitus in Japan: a secondary retrospective analysis. Front Endocrinol (Lausanne) 2024; 15:1355180. [PMID: 38419956 PMCID: PMC10899432 DOI: 10.3389/fendo.2024.1355180] [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: 12/13/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Background Body mass index (BMI) and fasting plasma glucose (FPG) are known risk factors for type 2 diabetes mellitus (T2DM), but data on the prospective association of the combination of BMI and FPG with T2DM are limited. This study sought to characterize the association of the combination of BMI and FPG (ByG) with T2DM. Methods The current study used the NAGALA database. We categorized participants by tertiles of ByG. The association of ByG with T2DM was expressed with hazard ratios (HRs) with 95% confidence intervals (CIs) after adjustment for potential risk factors. Results During a median follow-up of 6.19 years in the normoglycemia cohort and 5.58 years in the prediabetes cohort, the incidence of T2DM was 0.75% and 7.79%, respectively. Following multivariable adjustments, there were stepwise increases in T2DM with increasing tertiles of ByG. After a similar multivariable adjustment, the risk of T2DM was 2.57 (95% CI 2.26 - 2.92), 1.97 (95% CI 1.53 - 2.54) and 1.50 (95% CI 1.30 - 1.74) for a per-SD change in ByG in all populations, the normoglycemia cohort and the prediabetes cohort, respectively. Conclusion ByG was associated with an increased risk of T2DM in Japan. The result reinforced the importance of the combination of BMI and FPG in assessing T2DM risk.
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Affiliation(s)
| | | | | | | | | | | | | | - Weilin Lu
- *Correspondence: Weilin Lu, ; Chengyun Liu,
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13
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Mo Z, Cao C, Han Y, Hu H, He Y, Zuo X. Relationships between triglyceride-glucose index and incident gestational diabetes mellitus: a prospective cohort study of a Korean population using publicly available data. Front Public Health 2024; 12:1294588. [PMID: 38414896 PMCID: PMC10896852 DOI: 10.3389/fpubh.2024.1294588] [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: 09/15/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024] Open
Abstract
Background The connection between the triglyceride-glucose index (TyG index) and gestational diabetes mellitus (GDM) is currently debated. Our study aimed to investigate the connection between the TyG index and GDM within the Korean population. Methods Using publically accessible data in Korea, we performed a secondary study on a sample of 589 pregnant women who were carrying a single fetus. The analysis employed a binary logistic regression model, some sensitivity analyses, and subgroup analysis to investigate the association between the TyG index and the occurrence of GDM. To assess the TyG index's potential to predict GDM, a receiver operating characteristic (ROC) study was also carried out. Results The mean age of the pregnant women was 32.065 ± 3.798 years old, while the mean TyG index was 8.352 ± 0.400. The prevalence rate of GDM was found to be 6.112%. Upon adjusting for potential confounding variables, a positive association was detected between the TyG index and incident GDM (OR = 12.923, 95%CI: 3.581-46.632, p = 0.00009). The validity of this connection was further confirmed by subgroup analysis and sensitivity analyses. With an area under the ROC curve of 0.807 (95%CI: 0.734-0.879), the TyG index showed strong predictive power for GDM. The TyG index's ideal cutoff value for detecting GDM was found to be 8.632, with a sensitivity of 78.7% and a specificity of 72.2%. Conclusion The findings of our study provide evidence that an increased TyG index is significantly associated with the occurrence of GDM. Utilizing the TyG index during the 10-14 week gestational period may be a valuable tool in identifying pregnant individuals at a heightened risk for developing GDM. Early detection enables timely and efficacious interventions, thereby enhancing the prognosis of affected individuals.
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Affiliation(s)
- Zihe Mo
- Department of Physical Examination, DongGuan Tungwah Hospital, Dongguan, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, Guangdong, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital and The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Yongcheng He
- Department of Nephrology, Shenzhen Hengsheng Hospital, Shenzhen, Guangdong, China
- Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Xin Zuo
- Department of Endocrinology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
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14
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Yu C, Shi Y, Wang T, Zhu L, Zhou W, Bao H, Cheng X. Triglyceride-glucose index change and chronic kidney disease progression in a Chinese hypertensive population. Front Endocrinol (Lausanne) 2024; 15:1342408. [PMID: 38405159 PMCID: PMC10893760 DOI: 10.3389/fendo.2024.1342408] [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: 11/21/2023] [Accepted: 01/25/2024] [Indexed: 02/27/2024] Open
Abstract
Background The impact of triglyceride-glucose (TyG) index variations on chronic kidney disease (CKD) progression remains unexplored. To investigate the effects of the TyG index and its dynamic changes on CKD progression. Method This prospective cohort study included data from 8,418 hypertensive participants. The exposure variable in this study was defined as the difference between the TyG index at the last visit from that at baseline. The study's outcome variable was the progression of CKD, defined as follows: for subjects with an estimated glomerular filtration rate (eGFR) ≥60 mL/min, a ≥30% decrease in eGFR with a final follow-up value <60 mL/min; for those with an eGFR <60 mL/min, a ≥50% decrease in eGFR; or terminal renal failure requiring dialysis. Results During a median follow-up period of 48 months, 1077 patients were diagnosed with CKD progression. In the fully adjusted Model 3, patients with a change in the TyG index <0 exhibited a significantly decreased 13% risk of CKD progression (HR: 0.87, 95% CI: 0.76-0.98) compared to those with a change in the TyG index≥0 group. Subgroup analyses showed that changes in the TyG index significantly increased the risk of CKD progression only in patients with diastolic blood pressure (DBP) <90mmHg. In the path analysis, baseline TyG was associated with follow-up eGFR (the standard regression coefficient was 1.26 [95% CI, 0.45-2.06]). Conclusions Our findings suggest that TyG variability may serve as a useful tool for identifying individuals at risk of CKD progression, particularly hypertensive patients with normal DBP levels.
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Affiliation(s)
- Chao Yu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
| | - Yumeng Shi
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
| | - Tao Wang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
| | - Lingjuan Zhu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
| | - Wei Zhou
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
| | - Huihui Bao
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
| | - Xiaoshu Cheng
- Department of Cardiovascular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, China
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15
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Brenta G, Di Fermo F. Thyroid cancer and insulin resistance. Rev Endocr Metab Disord 2024; 25:19-34. [PMID: 37957487 DOI: 10.1007/s11154-023-09849-7] [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] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Abstract
Thyroid cancer has shown a parallel increase with diabetes in the last few years. This narrative review aims to explain the association between these two entities, focusing on insulin resistance as the mediator and exploring the effects of antidiabetic agents on thyroid cancer incidence and progression.We searched Pubmed for English-written articles on insulin resistance, diabetes, antidiabetic treatments, and thyroid cancer reported from January 2019 to April 2023. Exclusion criteria were preclinical and clinical studies involving a population with thyroid dysfunction, benign nodular goiter, or those that only analyzed thyroid cancer's association with obesity.The results of the narrative literature review revealed 96 articles. Additionally, four studies from a manual search were retrieved. After the exclusion criteria were applied, we included 20 studies. Out of 8 studies on insulin-resistant or Metabolic Syndrome patients, all suggest a positive association with thyroid cancer. At the same time, for diabetes, four out of five publications support a link with thyroid cancer. The seven remaining studies on antidiabetics suggest that metformin might benefit thyroid cancer. In contrast, the evidence for an association between Glucagon-like peptide-1 receptor agonists (GLP-1 RA) and increased thyroid cancer findings is limited.In conclusion, the association between thyroid cancer and diabetes may be explained by insulin resistance, as shown in observational studies. However, the causal role is yet to be defined. Although the wide use of different antidiabetic agents has been related to thyroid cancer prevalence and progression, future research with drugs such as metformin or GLP-1 RA is still needed.
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Affiliation(s)
- Gabriela Brenta
- Department of Endocrinology and Metabolism, Unidad Asistencial Dr. César Milstein, Buenos Aires, Argentina.
| | - Fernando Di Fermo
- Endocrinology Department, Hospital Virgen del Carmen, Zárate, Buenos Aires, Argentina
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Liu L, Peng J, Wang N, Wu Z, Zhang Y, Cui H, Zang D, Lu F, Ma X, Yang J. Comparison of seven surrogate insulin resistance indexes for prediction of incident coronary heart disease risk: a 10-year prospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1290226. [PMID: 38323107 PMCID: PMC10844492 DOI: 10.3389/fendo.2024.1290226] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
Background There were seven novel and easily accessed insulin resistance (IR) surrogates established, including the Chinese visceral adiposity index (CVAI), the visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR). We aimed to explore the association between the seven IR surrogates and incident coronary heart disease (CHD), and to compare their predictive powers among Chinese population. Methods This is a 10-year prospective cohort study conducted in China including 6393 participants without cardiovascular disease (CVD) at baseline. We developed Cox regression analyses to examine the association of IR surrogates with CHD (hazard ratio [HR], 95% confidence intervals [CI]). Moreover, the receiver operating characteristic (ROC) curve was performed to compare the predictive values of these indexes for incident CHD by the areas under the ROC curve (AUC). Results During a median follow-up period of 10.25 years, 246 individuals newly developed CHD. Significant associations of the IR surrogates (excepted for VAI) with incident CHD were found in our study after fully adjustment, and the fifth quintile HRs (95% CIs) for incident CHD were respectively 2.055(1.216-3.473), 1.446(0.948-2.205), 1.753(1.099-2.795), 2.013(1.214-3.339), 3.169(1.926-5.214), 2.275(1.391-3.719) and 2.309(1.419-3.759) for CVAI, VAI, LAP, TyG, TyG-BMI, TyG-WC and TyG-WHtR, compared with quintile 1. Furthermore, CVAI showed maximum predictive capacity for CHD among these seven IR surrogates with the largest AUC: 0.632(0.597,0.667). Conclusion The seven IR surrogates (excepted for VAI) were independently associated with higher prevalence of CHD, among which CVAI is the most powerful predictor for CHD incidence in Chinese populations.
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Affiliation(s)
- Li Liu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jie Peng
- Department of Geriatric Medicine, Qilu Hospital of Shandong University, Key Laboratory of Cardiovascular Proteomics of Shandong Province, Jinan, China
| | - Ning Wang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhenguo Wu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Yerui Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huiliang Cui
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Dejin Zang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Fanghong Lu
- Cardio-Cerebrovascular Control and Research Center, Shandong Academy of Medical Sciences, Jinan, China
| | - Xiaoping Ma
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Obstetrics and Gynecology, LiaoCheng People’s Hospital, Liaocheng, China
| | - Jianmin Yang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
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Li Z, Tong X, Ma Y, Bao T, Yue J. Association between the triglyceride glucose index and low skeletal muscle mass: a cross-sectional study. BMJ Open 2024; 14:e077484. [PMID: 38195175 PMCID: PMC10806592 DOI: 10.1136/bmjopen-2023-077484] [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: 07/06/2023] [Accepted: 12/21/2023] [Indexed: 01/11/2024] Open
Abstract
OBJECTIVES Triglyceride glucose (TyG) represents a consistent surrogate biomarker and index of insulin resistance (IR), IR has also been linked to skeletal muscle mass loss (SMM-L). Here, we evaluated the association between SMM-L and the TyG index (TyGi). DESIGN An analytical cross-sectional study. SETTING Tertiary care hospitals. PARTICIPANTS 36 275 participants who underwent health checks between 1 January 2013 and 31 December 2020. PRIMARY AND SECONDARY OUTCOME MEASURES A bioelectrical impedance analysis was used to assess the body composition, SMM-L was defined as low ASMI (total limb lean mass/height2) and TyGi was calculated as ln(triglycerides (mg/dL)×fasting blood glucose (mg/dL)/2). RESULTS A total of 36 275 subjects were included in the study, of which 58.46% were male, with a mean age of 43.74±12.33 years. The prevalence of low skeletal muscle mass (SMM) was 17.7% and the mean TyGi was 8.56±0.64. TyGi was found to be significantly correlated with low SMM in all subjects (OR 1.87, 95% CI 1.75 to 2.00, p<0.001), with higher correlations seen in younger subjects (OR 1.97, 95% CI 1.77 to 2.20, p<0.001), and remaining significant in middle age (OR 1.95, 95% CI 1.77 to 2.14, p<0.001), old age (OR 1.73, 95% CI 1.38 to 1.16, p<0.001), men (OR 1.60, 95% CI 1.46 to 1.76, p<0.001) and women (OR 2.59, 95% CI 2.39 to 2.87, p<0.001). CONCLUSIONS These data demonstrated a significant independent interaction between TyGi and low SMM in all subjects regardless of sex and age subgroups in the general population.
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Affiliation(s)
- Zhenzhen Li
- Health Management Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiang Tong
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yao Ma
- Department of Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Ting Bao
- Health Management Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jirong Yue
- Department of Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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18
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Ning P, Zeng J, Feng Q, Chen M, Cao H. Triglyceride-Glucose Index as a Predictor of Lower Extremity Arterial Disease in Patients with Diabetes: A Hospitalized Population Retrospective Study. Ann Vasc Surg 2024; 98:173-181. [PMID: 37802143 DOI: 10.1016/j.avsg.2023.08.013] [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: 11/11/2022] [Revised: 06/28/2023] [Accepted: 08/04/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a new, simple, and inexpensive marker of insulin resistance that is becoming increasingly important as a promising predictor of diseases such as atherosclerosis. Atherosclerosis is the main cause of lower extremity arterial disease (LEAD). In this study, we investigated the relationship between TyG index values and LEAD risk in patients with diabetes. METHODS Patients with diabetes hospitalized at the Endocrinology Department of our hospital from June 1, 2021, to May 31, 2022, were retrospectively included. Baseline data, biochemical indicators, and ankle-brachial index values were collected. Statistical methods were used to assess the relationship between TyG index values and the risk of LEAD. RESULTS A total of 1,040 hospitalized patients with diabetes were included, they were divided into the LEAD group with 168 patients and the no LEAD group with 872 patients. TyG index values in the LEAD group were higher than those in the no LEAD group (9.94 ± 0.78 vs. 9.36 ± 0.70, P < 0.001). TyG index values were independently correlated with LEAD risk in patients with diabetes (odds ratio = 3.92, 95% confidence interval (CI): 2.92-5.26, P < 0.001) in multivariate logistic regression analysis after adjusting for different risk factors (all P < 0.05). The area under the receiver operating characteristic curve was 0.72 (95% CI: 0.68-0.76) when TyG index values were used to diagnose LEAD in patients with diabetes. When Youden's index reached the maximum value of 0.34, the optimal TyG index threshold for predicting the onset of diabetic LEAD was 9.56, sensitivity was 71.1%, and specificity was 63.0%. CONCLUSIONS Increases in TyG index values were associated with the risk of LEAD in patients with diabetes and, thus, may be used as a predictor of LEAD in this patient population, especially in primary care institutions with relatively few resources.
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Affiliation(s)
- Peng Ning
- Department of Endocrine and Metabolism, Geriatric Diseases Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan, China
| | - Jing Zeng
- Department of Endocrine and Metabolism, Geriatric Diseases Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan, China
| | - Qiu Feng
- Department of Endocrine and Metabolism, Geriatric Diseases Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan, China
| | - Min Chen
- Department of Endocrine and Metabolism, Geriatric Diseases Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan, China
| | - Hongyi Cao
- Department of Endocrine and Metabolism, Geriatric Diseases Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan, China.
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Zhang L, Zeng L. Non-linear association of triglyceride-glucose index with prevalence of prediabetes and diabetes: a cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1295641. [PMID: 38152130 PMCID: PMC10751584 DOI: 10.3389/fendo.2023.1295641] [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: 09/16/2023] [Accepted: 11/29/2023] [Indexed: 12/29/2023] Open
Abstract
Background The Triglyceride-glucose (TyG) index has been acknowledged as a convenient, cost-effective, and relatively simple marker for insulin resistance (IR). Meanwhile, prediabetes, described as an asymptomatic, moderately hyperglycemic state, tends to be more prevalent than diabetes. Thus, the objective of this study was to explore the relationship between the TyG index and the prevalence of both prediabetes and diabetes within the U.S. population. Methods This study utilized a cross-sectional dataset derived from the National Health and Nutrition Survey (NHANES) spanning 1999 to 2018. The subjects were individuals aged 18 years and above, who had available fasting glucose and fasting triglyceride information, permitting a diagnosis of prediabetes or diabetes. The TyG index was computed using laboratory data, and participants were subsequently categorized into quartiles based on this information. The relationship between the TyG index and the prevalence of prediabetes and diabetes was investigated using logistic regression analysis. Results Out of the 25,159 participants, 23.88% were found to have prediabetes, while 16.22% were diagnosed with diabetes. After adjusting for confounding factors, a linear increase in relative odds was observed in Q2 (OR: 1.69; 95% CI: 1.52, 1.89), Q3 (OR: 2.57; 95% CI: 2.30, 2.88), and Q4 (OR: 4.88; 95% CI: 4.33, 5.49) groups in comparison to the reference group, Q1. In addition, a non-linear relationship was observed between the TyG index and the prevalence of prediabetes and diabetes. Specifically, patients with a TyG index greater than 8.00 overall exhibited a significantly higher risk of prediabetes and diabetes, confirming that an increase in the TyG index is associated with a corresponding increase in risk. However, this shift showed gender-specific variations; the threshold was observed at 8.00 in males but shifted to 9.00 in females. Conclusion The TyG index demonstrated a non-linear positive correlation with both prediabetes and diabetes. This suggests that maintaining the TyG index at a certain, reduced level could potentially aid in preventing the onset of prediabetes and diabetes.
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Affiliation(s)
- Linhao Zhang
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Ling Zeng
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
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Wu Y, Du L, Fan M, Chen X, Tang Y, Wang Y, Wang K, Wang S, Li G. Association between oral infections, triglyceride-glucose index, and in-stent restenosis. Oral Dis 2023; 29:3698-3706. [PMID: 36321885 DOI: 10.1111/odi.14420] [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: 10/06/2022] [Revised: 10/14/2022] [Accepted: 10/26/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To investigate oral infections in patients suffering in-stent restenosis (ISR) and non-ISR and analyze the possible correlation between the oral infection and triglyceride-glucose (TyG) index, a clinical surrogate indicator of insulin resistance (IR). MATERIALS AND METHODS A cross-sectional design was used, in which 586 patients with acute coronary syndrome who underwent coronary angiography 6-24 months after coronary stent implantation were recruited. The modified total dental index (TDI) was used to evaluate the status of oral inflammation. RESULTS In both univariate analyses, TDI scores [3 (1.5, 4.5) vs. 2.5 (1.5, 4.0), p < 0.01] and a multivariate regression model (OR = 1.202, 95% CI = 1.085-1.333, p < 0.01), the TDI significantly correlated with ISR. The TyG index was positively associated with ISR (OR = 1.766, 95% CI = 1.055-2.957, p < 0.05). Correlation analysis showed that TDI was positively correlated with TyG index (r = 0.190, p < 0.01). Using linear regression analysis, higher TDI scores were significantly associated with IR (95% CI = 0.029-0.063, p < 0.01). CONCLUSIONS Oral infections and TyG index were independently and positively correlated with ISR in patients with acute coronary syndrome. Oral inflammatory burden assessed by TDI score was associated with IR.
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Affiliation(s)
- Yingle Wu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Laijing Du
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Mengnan Fan
- Department of Medical Record, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Xinzhao Chen
- Department of Stomatology, The Second Affiliated Hospital of Air Force Medical University, Xian, China
| | - Yanyan Tang
- Department of Stomatology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Yanyu Wang
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Ke Wang
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Shaoxin Wang
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Guangping Li
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China
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Sökücü SN, Aydın Ş, Satıcı C, Tural Önür S, Özdemir C. Triglyceride-glucose index as a predictor of obstructive sleep apnoea severity in the absence of traditional risk factors. ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:891-897. [PMID: 37939719 PMCID: PMC10631848 DOI: 10.1055/s-0043-1776411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 06/24/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE We evaluated the association between the triglyceride-glucose (TG) index, a marker of insulin resistance, and obstructive sleep apnoea (OSA) severity in patients without diabetes mellitus, obesity, and metabolic syndrome. METHODS This retrospective cohort study included 1,527 patients. We used univariate and multivariate analyses to identify the independent predictors associated with OSA. RESULTS Most patients were males (81.5%) with a mean age of 43.9 ± 11.1 (15-90) years. Based on the apnoea-hypopnea index (AHI), 353 (23.1%) patients were included in the control group, whereas 32.4%, 23.5%, and 21% had mild, moderate, and severe OSA, respectively. The TG index values demonstrated significant associations with OSA patients compared with the control group (p = 0.001). In addition, the mean values of the oxygen desaturation index (ODI), AHI, minimum oxygen saturation, and total sleep time percentage with saturation below 90% demonstrated statistically significant differences among the TG index groups (p: 0.001; p:0.001; p:0.001; p:0.003). The optimal TG index cutoff value to predict OSA was 8.615 (AUC = 0.638, 95% CI = 0.606-0.671, p = 0.001). In multivariate logistic regression analysis, after adjusting for age, sex, and body mass index, the TG index was independently associated with OSA patients. CONCLUSION The TG index is independently associated with increased risk for OSA. This indicates that this index, a marker for disease severity, can be used to identify severe OSA patients on waiting lists for PSG.
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Affiliation(s)
- Sinem Nedime Sökücü
- University of Health Sciences, Yedikule Chest Disease and Thoracic Surgery Training and Research Hospital, Sleep Laboratory, Istanbul, Turkey.
| | - Şenay Aydın
- University of Health Sciences, Yedikule Chest Disease and Thoracic Surgery Training and Research Hospital, Sleep Laboratory, Istanbul, Turkey.
| | - Celal Satıcı
- University of Health Sciences, Yedikule Chest Disease and Thoracic Surgery Training and Research Hospital, Sleep Laboratory, Istanbul, Turkey.
| | - Seda Tural Önür
- University of Health Sciences, Yedikule Chest Disease and Thoracic Surgery Training and Research Hospital, Sleep Laboratory, Istanbul, Turkey.
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Honarvar M, Mehran L, Masoumi S, Agahi S, Khalili S, Azizi F, Amouzegar A. Independent association between age- and sex-specific metabolic syndrome severity score and cardiovascular disease and mortality. Sci Rep 2023; 13:14621. [PMID: 37669997 PMCID: PMC10480156 DOI: 10.1038/s41598-023-41546-y] [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: 04/30/2023] [Accepted: 08/28/2023] [Indexed: 09/07/2023] Open
Abstract
Traditional metabolic syndrome (MetS) criteria have several limitations, which hinder its use in clinical practice. To overcome the limitations, we investigated the association between age- and sex-specific continuous MetS severity score (cMetS-S) and cardiovascular disease (CVD) and mortality beyond MetS components in the framework of the Tehran Lipid and Glucose Study. Participants aged 20-60 years at baseline were included in the study. We excluded participants with CVD, cancer, use of corticosteroids, estimated glomerular filtration rate < 30 ml/min/1.73 m2, and those who were pregnant. We evaluated the association between cMetS-S with CVD and mortality over 18 years of follow-up among 8500 participants with continuous and quantile approaches using the Cox proportional hazard regression model. In addition, the model performance of cMetS-S for predicting CVD events was compared to the conventional MetS criteria. Participants with higher cMetS-S had a significantly increased risk for CVD, coronary (CHD) and non-coronary heart disease (non-CHD), and all-cause, cardiovascular, and sudden cardiac death. Independent of the confounders and MetS components, the cMetS-S had the HRs of 1.67 (95% CI 1.47-1.89), 1.60 (95% CI 1.37-1.86), and 1.88 (95% CI 1.50, 2.35) for CVD, CHD, and non-CHD events upon 1-SD increment, respectively. The risk of mortality was increased for 1-SD of cMetS-S (all-cause mortality, HR 1.24; 95% CI 1.09-1.41; CVD mortality, HR 1.72; 95% CI 1.20-2.45; sudden cardiac death, HR 1.60; 95% CI 1.03-2.49). The model fitness of cMetS-S was superior to the conventional MetS criteria in predicting CVD and mortality. The cMetS-S provided an additional risk for CVD and mortality beyond the individual MetS components. Standardized cMetS-S could be a potential universal measure to define MetS severity while considering the weighted contribution of MetS components and their variations by age, sex, and ethnicity.
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Affiliation(s)
- Mohammadjavad Honarvar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Ladan Mehran
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Safdar Masoumi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Sadaf Agahi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Shayesteh Khalili
- Department of Internal Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Atieh Amouzegar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
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Nevárez-Sida A, Guerrero-Romero F. The Triglycerides and Glucose Index: A Cost-Effectiveness Analysis Compared With the Homeostatic Model Assessment for Insulin Resistance. Value Health Reg Issues 2023; 37:49-52. [PMID: 37315510 DOI: 10.1016/j.vhri.2023.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 04/14/2023] [Accepted: 05/15/2023] [Indexed: 06/16/2023]
Abstract
OBJECTIVES This study aimed to evaluate the cost-effectiveness of the triglycerides and glucose index (TyG) versus the homeostatic model assessment for insulin resistance index (HOMA-IR) for diagnosing insulin resistance. METHODS A cost-effectiveness analysis using a decision tree based on the false-negative and false-positive tests and the true-positive and true-negative tests of both the TyG and HOMA-IR was conducted. Based on the costs and effectiveness of both tests, the average and incremental cost-effectiveness ratios were calculated. Furthermore, one-way sensitivity analysis was conducted regarding sensitivity of both indexes. Using the Monte Carlo simulation with 10 000 iterations, a probabilistic sensitivity analysis that included sensitivity, specificity, and cost of diagnostic tests was conducted. Finally, using the α and β values obtained from the primary data, the beta distribution was used for estimation of sensitivity and specificity. RESULTS The cost-effectiveness per test was $1.64 versus $4.26 for TyG and HOMA-IR. The effectiveness of true-positive (0.77 vs 0.74) and true-negative (0.17 vs 0.15) tests was higher for the TyG than HOMA-IR. The cost-effectiveness ratio was lower for the TyG than the HOMA-IR, for both the true-positive ($1.64 vs $4.26) and true-negative ($7.33 vs $20.70) tests. Diagnosing IR using the TyG was 61.5% lower than using the HOMA-IR. CONCLUSIONS Our findings indicate that the TyG is a high effectiveness and cost-effective test for diagnosing insulin resistance than the HOMA-IR.
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Affiliation(s)
- Armando Nevárez-Sida
- Biomedical Research Unit, Mexican Social Security Institute, Durango/Dgo, Mexico
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Honarvar M, Masoumi S, Mehran L, Khalili D, Amouzegar A, Azizi F. Development and validation of a continuous metabolic syndrome severity score in the Tehran Lipid and Glucose Study. Sci Rep 2023; 13:7529. [PMID: 37160960 PMCID: PMC10170075 DOI: 10.1038/s41598-023-33294-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/11/2023] [Indexed: 05/11/2023] Open
Abstract
Metabolic syndrome (MetS), defined as the coexistence of interrelated cardiometabolic risk factors, is limited by ignoring the severity of the disease and individuals with a pre-metabolic state. We aimed to develop the first age- and sex-specific continuous MetS severity score in the adult population using confirmatory factor analysis (CFA) based on the MetS components in the Middle East. Using data from the population-based Tehran Lipid and Glucose Study (TLGS) I and II datasets, we conducted CFA of the single factor MetS on 8933 adults (20-60 years old) totally, and in age and sex subgroups. We allowed for different factor loadings across the subgroups to formulate age- and sex-specific continuous MetS severity score equations. Thereafter, we validated these equations in the dataset of TLGS III participants. Triglyceride had the highest factor loading across age and sex subgroups, indicating the most correlation with MetS. Except for women aged 40-60 years, waist circumference was the second most significant factor contributing to MetS. Systolic blood pressure was more closely related to MetS in women than in men. Systolic blood pressure and fasting plasma glucose had the weakest correlation with MetS among the 40-60 age group. Moreover, as women age, the contribution of fasting plasma glucose to MetS tended to decline, while it remained relatively constant in men. The resulting MetS severity score was correlated with age and homeostasis model assessment of insulin resistance. Furthermore, the continuous MetS severity score well predicted the traditional MetS according to receiver operating characteristic analysis in the validation dataset. The age- and sex-specific continuous MetS severity score for the West Asian adult population provides a tangible quantitative measure of MetS enabling clinicians to screen and monitor the individuals at risk and assess their metabolic trends.
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Affiliation(s)
- Mohammadjavad Honarvar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Safdar Masoumi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
- Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran
| | - Ladan Mehran
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
- Department of Biostatistics and Epidemiology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Atieh Amouzegar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
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Kuang M, Yang R, Huang X, Wang C, Sheng G, Xie G, Zou Y. Assessing temporal differences in the predictive power of baseline TyG-related parameters for future diabetes: an analysis using time-dependent receiver operating characteristics. J Transl Med 2023; 21:299. [PMID: 37138277 PMCID: PMC10158224 DOI: 10.1186/s12967-023-04159-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 04/25/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND It is known that measuring the triglyceride glucose (TyG) index and TyG-related parameters [triglyceride glucose-body mass index (TyG-BMI), triglyceride glucose-waist circumference (TyG-WC), and triglyceride glucose-waist to height ratio (TyG-WHtR)] can predict diabetes; this study aimed to compare the predictive value of the baseline TyG index and TyG-related parameters for the onset of diabetes at different future periods. METHODS We conducted a longitudinal cohort study involving 15,464 Japanese people who had undergone health physical examinations. The subject's TyG index and TyG-related parameters were measured at the first physical examination, and diabetes was defined according to the American Diabetes Association criteria. Multivariate Cox regression models and time-dependent receiver operating characteristic (ROC) curves were constructed to examine and compare the risk assessment/predictive value of the TyG index and TyG-related parameters for the onset of diabetes in different future periods. RESULTS The mean follow-up period of the current study cohort was 6.13 years, with a maximum of 13 years, and the incidence density of diabetes was 39.88/10,000 person-years. In multivariate Cox regression models with standardized hazard ratios (HRs), we found that both the TyG index and TyG-related parameters were significantly and positively associated with diabetes risk and that the TyG-related parameters were stronger in assessing diabetes risk than the TyG index, with TyG-WC being the best parameter (HR per SD increase: 1.70, 95% CI 1.46, 1.97). In addition, TyG-WC also showed the highest predictive accuracy in time-dependent ROC analysis for diabetes occurring in the short-term (2-6 years), while TyG-WHtR had the highest predictive accuracy and the most stable predictive threshold for predicting the onset of diabetes in the medium- to long-term (6-12 years). CONCLUSIONS These results suggest that the TyG index combined with BMI, WC, and WHtR can further improve its ability to assess/predict the risk of diabetes in different future periods, where TyG-WC was not only the best parameter for assessing diabetes risk but also the best risk marker for predicting future diabetes in the short-term, while TyG-WHtR may be more suitable for predicting future diabetes in the medium- to long-term.
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Affiliation(s)
- Maobin Kuang
- Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
| | - Ruijuan Yang
- Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
- Department of Endocrinology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
| | - Xin Huang
- Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
| | - Chao Wang
- Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
| | - Guotai Sheng
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China
| | - Guobo Xie
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China.
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, Jiangxi, China.
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Zhong H, Shao Y, Guo G, Zhan Y, Liu B, Shao M, Li L. Association between the triglyceride-glucose index and arterial stiffness: A meta-analysis. Medicine (Baltimore) 2023; 102:e33194. [PMID: 36897703 PMCID: PMC9997783 DOI: 10.1097/md.0000000000033194] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/14/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Studies have shown a strong association between the triglyceride-glucose (TyG) index, a simple marker of insulin resistance, and various metabolic diseases. We performed a systematic review of the interaction between the TyG index and arterial stiffness. METHODS Relevant observational studies assessing the association between the TyG index and arterial stiffness were thoroughly searched in PubMed, Embase, and Scopus, and a manual search of the preprint server was conducted. A random-effects model was utilized to analyze the data. The risk of bias for the included studies was assessed using the Newcastle-Ottawa Scale. A pooled effect size estimate with a random-effects model was used for the meta-analysis. RESULTS Thirteen observational studies comprising 48,332 subjects were included. Of these, 2 were prospective cohort studies, and the remaining 11 were cross-sectional studies. According to the results of the analysis, the risk of developing high arterial stiffness was 1.85 times greater for those in the highest TyG index subgroup versus the lowest group (risk ratio [RR]: 1.85, 95% confidence interval: 1.54-2.33, I2 = 70%, P < .001). Consistent results were observed when the index was analyzed as a continuous variable (RR: 1.46, 95% confidence interval: 1.32-1.61, I2 = 77%, P < .001). A sensitivity analysis excluding each of the studies one by one yielded similar results (RRs for categorical variables: 1.67-1.94, P all <.001; RRs for continuous variables: 1.37-1.48, P all <.001). A subgroup analysis showed that different characteristics of the study subjects, such as type of study design, age, population, disease status, (including hypertension and diabetes), and pulse wave velocity measurement methods had no substantial effect on the results (P for subgroup analysis, all >0.05). CONCLUSIONS A relatively high TyG index might be linked to an increased incidence of arterial stiffness.
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Affiliation(s)
- Huiqin Zhong
- Department of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Ya Shao
- Sino-Canada Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Guangling Guo
- Sino-Canada Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yan Zhan
- Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Bin Liu
- Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Meiling Shao
- Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
| | - Longti Li
- Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China
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Zhou Y, Lu Q, Zhang M, Yang L, Shen X. The U-Shape Relationship between Triglyceride-Glucose Index and the Risk of Diabetic Retinopathy among the US Population. J Pers Med 2023; 13:jpm13030495. [PMID: 36983677 PMCID: PMC10056904 DOI: 10.3390/jpm13030495] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/05/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Objective: To explore the association of diabetic retinopathy (DR) with TyG index and TyG-related parameters among the United States population. Methods: This cross-sectional study is conducted in adults with diabetes mellitus based on the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Multivariate logistic regression, restricted cubic spline, trend test, receiver operating characteristic curve and subgroup analysis are adopted to uncover the association of DR with TyG index and TyG-related parameter levels in diabetics. Results: An aggregate of 888 eligible participants with diabetes is included, involving 263 (29.6%) patients with DR. The participants are stratified according to the quartile of TyG index and TyG-related parameters (Q1–Q4). Following the adjustments of the confounding factors, a multivariate logistic regression analysis finds that TyG-BMI, TyG index and Q4-TyG index are significant risk factors for DR. The restricted cubic spline shows that TyG index and the DR risk of diabetes patients are proved to be U-shaped related (p for nonlinearity = 0.001). Conclusions: The triglyceride-glucose index has a U-shaped correlation with the risk of diabetic retinopathy, which has potential predictive value.
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Affiliation(s)
- Yu Zhou
- Department of Ophthalmology, Ruijin Hospital, LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
| | - Qiong Lu
- Department of Ophthalmology, Ruijin Hospital, LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
| | - Min Zhang
- Department of Ophthalmology, Ruijin Hospital, LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
| | - Ling Yang
- Department of Ophthalmology, Ruijin Hospital, LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
| | - Xi Shen
- Department of Ophthalmology, Ruijin Hospital, LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
- Department of Ophthalmology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China
- Correspondence: ; Tel.: +86-136-2167-7680
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Demirci I, Haymana C, Candemir B, Yuksel B, Eser M, Meric C, Akin S, Gulcelik NE, Sonmez A. Triglyceride-glucose index levels in patients with Klinefelter syndrome and its relationship with endothelial dysfunction and insulin resistance: a cross-sectional observational study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:378-384. [PMID: 37011373 DOI: 10.20945/2359-3997000000594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Objective This study aimed to investigate the triglyceride-glucose (TyG) index, which is a simple surrogate marker of insulin resistance that is associated with various cardiometabolic diseases, in patients with Klinefelter syndrome (KS). Subjects and methods A total of 30 patients with KS (mean age: 21.53 ± 1.66 years) and 32 healthy controls (mean age: 22.07 ± 1.01 years) were included in the study. The clinical and laboratory parameters, TyG index, asymmetric dimethylarginine (ADMA) level, homeostatic model assessment of insulin resistance (HOMA-IR) score, and high-sensitivity C-reactive protein level were measured in patients with KS and healthy subjects. Results Patients with KS had higher HOMA-IR score (p = 0.043), ADMA levels (p < 0.001), and TyG index (p = 0.031) and lower high-density lipoprotein cholesterol levels (p < 0.001) than healthy subjects. TyG index was positively correlated with plasma ADMA (r = 0.48, p < 0.001) and HOMA-IR (r = 0.36, p = 0.011). Multivariate analyses showed that total testosterone level (β = -0.44, p = 0.001) and TyG index (β = 0.29, p = 0.045) were independent determinants of plasma ADMA levels. Conclusion Patients with KS had higher TyG indices than healthy subjects. Moreover, TyG index was independently associated with endothelial dysfunction in patients. TyG index may be a practical and useful measure to show the increased endothelial dysfunction in patients with KS.
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Lin XL, Li QY, Zhao DH, Liu JH, Fan Q. A high triglyceride-glucose index associated with adverse cardiovascular events in patients with type 2 diabetes mellitus and chronic total occlusion after percutaneous coronary intervention. J Investig Med 2023; 71:471-481. [PMID: 36727463 DOI: 10.1177/10815589231152823] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Triglyceride-glucose index (TyG index) is a reliable surrogate marker of insulin resistance, associated with morbidity and prognosis of cardiovascular disease. However, its predictive value for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) and chronic total occlusion (CTO) after percutaneous coronary intervention (PCI) has not been studied. Here, we retrospectively enrolled 681 patients with T2DM and CTO after PCI. Patients were divided into two groups based on a median TyG index of 9.02. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The primary observational end point was the composite of overall death, nonfatal myocardial infarction, and unplanned revascularization. The Multivariate Cox hazards regression analysis showed that the TyG index was significantly correlated with the primary end point (hazard ratio = 1.699, 95% confidence interval 1.254-2.303, p = 0.001). The addition of TyG to a baseline risk model had an incremental effect on the predictive value for the primary end point (area under the curve: TyG index vs baseline model, 0.693 vs 0.663, comparison p = 0.040; integrated discrimination improvement = 0.049, p = 0.020). The TyG index might be a predictor of adverse cardiovascular events. Moreover, adding the TyG index into a baseline risk model had a cumulative effect on the predictive potential for the primary end point.
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Affiliation(s)
- Xiao Long Lin
- Center for Coronary Artery Disease, Beijing AnZhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Qiu Yu Li
- Center for Coronary Artery Disease, Beijing AnZhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Dong Hui Zhao
- Center for Coronary Artery Disease, Beijing AnZhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Jing Hua Liu
- Center for Coronary Artery Disease, Beijing AnZhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
| | - Qian Fan
- Center for Coronary Artery Disease, Beijing AnZhen Hospital, Capital Medical University, and Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China
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Caliskan S, Boyuk F. Is Triglyceride-Glucose Index a Valuable Parameter in Peripheral Artery Disease? Cureus 2023; 15:e35532. [PMID: 36874319 PMCID: PMC9976948 DOI: 10.7759/cureus.35532] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 03/02/2023] Open
Abstract
Background The aim of this study was to investigate the relationship between the triglyceride-glucose (TyG) index and peripheral artery disease. Methodology This was a single-center, observational, retrospective study that included patients evaluated with color Doppler ultrasonography. A total of 440 individuals, 211 peripheral artery patients and 229 healthy controls, were included in the study. Results The TyG index levels were significantly higher in the peripheral artery disease group than in the control group (9.19 ± 0.57 vs. 8.80 ± 0.59; p < 0.001). The multivariate regression analysis conducted to determine the independent predictors of peripheral artery disease revealed that age (odds ratio (OR) = 1.111, 95% confidence interval (CI) = 1.083-1.139; p < 0.001), male gender (OR = 0.441, 95% CI = 0.249-0.782; p = 0.005), diabetes mellitus (OR = 1.925, 95% CI = 1.018-3.641; p = 0.044), hypertension (OR = 0.036, 95% CI = 0.285- 0.959; p = 0.036), coronary artery disease (OR = 2.540, 95% CI = 1.376-4.690; p = 0.003), white blood cell count (OR = 1.263, 95% CI = 1.029-1.550; p = 0.026), creatinine (OR = 0.975, 95% CI = 0.952-0.999; p = 0.041), and TyG index (OR = 1.111, 95% CI = 1.083-1.139; p < 0.001) were independent predictors of peripheral artery disease. The cut-off value of the TyG index in predicting peripheral artery disease was determined to be 9.06 with a sensitivity of 57.8% and a specificity of 70% (area under the curve = 0.689; 95% CI = 0.640-0.738; p < 0.001). Conclusions High TyG index values can be used as an independent predictor of peripheral artery disease.
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Affiliation(s)
| | - Ferit Boyuk
- Cardiology, Health Sciences University, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Istanbul, TUR
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Effectiveness of a Lifestyle Change Program on Insulin Resistance in Yaquis Indigenous Populations in Sonora, Mexico: PREVISY. Nutrients 2023; 15:nu15030597. [PMID: 36771304 PMCID: PMC9920776 DOI: 10.3390/nu15030597] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/19/2023] [Accepted: 01/20/2023] [Indexed: 01/26/2023] Open
Abstract
To evaluate the effectiveness of the healthy lifestyle promotion program for Yaquis (PREVISY) on insulin resistance in the short- and medium-term periods in adults who are overweight/obese and have an increased risk for diabetes. Using a translational research design, an intervention program was implemented in a sample of 93 Yaqui adult subjects. The effectiveness of PREVISY was evaluated by comparing the levels of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and the Triglycerides-Glucose Index (TyG index) at 6 and 12 months using a paired t-test. Results: In the subjects who completed the program, a decrease in the HOMA-IR index (∆ = -0.91 and ∆ = -1.29, p ≤ 0.05) and the TyG index (∆ = -0.24 y ∆ = -0.20, p ≤ 0.05) was observed in the short- and medium-term period, respectively. Subjects with body weight loss ≥ 10% showed decreased levels of HOMA-IR (∆ = -3.32 and ∆ = -4.89, p ≤ 0.05) and the TyG index (∆ = -0.80 and ∆ = -0.60, p ≤ 0.05) at 6 and 12 months, respectively. A stronger benefit of the program was found in subjects with obesity (vs. overweight) and with high and very high risk of diabetes (vs. moderate risk) in IR markers (p ≤ 0.05). The PREVISY program demonstrated its effectiveness in the improvement of some markers of insulin resistance in Yaqui adults at risk of diabetes.
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Avelino DC, da Silva A, Chaves LO, Carraro JCC, de Carvalho Vidigal F, Bressan J. Triglyceride-glucose index is associated with poor sleep quality in apparently healthy subjects: A cross-sectional study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:73-91. [PMID: 36155123 PMCID: PMC9983794 DOI: 10.20945/2359-3997000000517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Objective We aimed to evaluate the association between the triglyceride glucose index (TyG index) and sleep quality and to establish a cut-off value for the TyG index based on the prevalence of subjects with insulin resistance (IR). Methods This cross-sectional study involved Brazilian health professionals (20-59 years). A total of 138 subjects answered the Pittsburgh Sleep Quality questionnaire to evaluate sleep quality. They were categorized into two groups: good sleep quality (global score ≤ 5 points) and poor sleep quality (global score ≥ 6 points). Also, we classified the subjects as having a high (>8.08 or >4.38) or low TyG index (≤ 8.08 or ≤4.38). Results The majority of the subjects (70%) with high TyG index values (>8.08 or >4.38) reported poor sleep quality (p ≤ 0.001). Those with poor sleep quality had a 1.44-fold higher prevalence of IR (TyG index >8.08 or >4.38) compared to those with good sleep quality, regardless of sex, total cholesterol, LDL/HDL ratio, insulin, complement C3, CRP, and adiponectin (p ≤ 0.001). Conclusion Our data showed a positive and significant association between the TyG index and poor sleep quality. Thus, these findings support the association between poor sleep quality and IR.
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Affiliation(s)
| | - Alessandra da Silva
- Departamento de Nutrição e Saúde, Universidade Federal de Viçosa, Viçosa, MG, Brasil
| | | | | | | | - Josefina Bressan
- Departamento de Nutrição e Saúde, Universidade Federal de Viçosa, Viçosa, MG, Brasil
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Muhammad IF, Bao X, Nilsson PM, Zaigham S. Triglyceride-glucose (TyG) index is a predictor of arterial stiffness, incidence of diabetes, cardiovascular disease, and all-cause and cardiovascular mortality: A longitudinal two-cohort analysis. Front Cardiovasc Med 2023; 9:1035105. [PMID: 36684574 PMCID: PMC9846351 DOI: 10.3389/fcvm.2022.1035105] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/13/2022] [Indexed: 01/06/2023] Open
Abstract
Background Triglyceride-glucose (TyG) index is a useful low-cost marker of insulin resistance. We aimed to evaluate the association between TyG index and arterial stiffness, incidence of diabetes, adverse cardiovascular outcomes, and all-cause and cardiovascular mortality in two large prospective Swedish cohorts, the Malmö Diet and Cancer Study-Cardiovascular Cohort (MDCS-CV) and the Malmö Preventive Project (MPP). Methods Association between baseline TyG index and arterial stiffness, measured by carotid femoral pulse wave velocity (c-f PWV), was assessed using linear regression and general linear models, adjusting for covariates. Cox proportional hazard regression was used to assess the association between TyG index and incidence of diabetes, coronary events (CE), stroke, atrial fibrillation (AF), heart failure, and all-cause and cardiovascular mortality. Results After multivariable adjustment, baseline TyG index was significantly associated with increased arterial stiffness (β for c-f PWV = 0.61, p = 0.018). Participants in the highest quartile of TyG index vs. lowest quartile had an increased incidence of diabetes (HR: 3.30, 95% CI: 2.47-4.41), CE (HR: 1.53, 95% CI: 1.41-1.68), stroke (HR: 1.30, 95% CI: 1.18-1.44), all-cause mortality (HR: 1.22, 95% CI: 1.16-1.28), and cardiovascular mortality (HR: 1.37, 95% CI: 1.26-1.49) after adjustment for covariates. Per unit increase in TyG index was associated with increased heart failure risk. No significant association was observed for incident AF. Conclusion Elevated TyG index is positively associated with increased arterial stiffness and increased incidence of diabetes, CE, stroke, and all-cause and cardiovascular mortality. The results suggest that TyG index can potentially be useful in the identification of those at increased long-term risk of adverse health outcomes.
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Affiliation(s)
- Iram Faqir Muhammad
- Department of Clinical Sciences, Lund University, Malmö, Sweden,*Correspondence: Iram Faqir Muhammad,
| | - Xue Bao
- Department of Clinical Sciences, Lund University, Malmö, Sweden,Department of Cardiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Peter M. Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden,Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | - Suneela Zaigham
- Department of Clinical Sciences, Lund University, Malmö, Sweden,Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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Sun T, Huang X, Zhang B, Ma M, Chen Z, Zhao Z, Zhou Y. Prognostic significance of the triglyceride-glucose index for patients with ischemic heart failure after percutaneous coronary intervention. Front Endocrinol (Lausanne) 2023; 14:1100399. [PMID: 36814584 PMCID: PMC9939475 DOI: 10.3389/fendo.2023.1100399] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/26/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND In previous studies, the TyG index (triglyceride-glucose index) has been proven to be closely associated with the prognosis of cardiovascular disease. However, the impact of TyG index on the prognosis of patients with ischemic HF (heart failure) undergoing PCI (percutaneous coronary intervention) is still unclear. METHOD In this study, 2055 patients with ischemic HF were retrospectively enrolled and classified into four groups based on quartiles of the TyG index. The primary endpoint was MACE (major adverse cardiovascular events) consisting of all-cause mortality, non-fatal MI (myocardial infarction), and any revascularization. The incidence of the endpoints among the four groups was assessed through Kaplan-Meier survival analysis. The independent correlation between TyG index and endpoints was analyzed with multivariate Cox regression models. Besides, the RCS (restricted cubic spline) analysis was performed to examine the nonlinear relationship between TyG index and MACE. RESULT The incidence of MACE was significantly higher in participants with a higher TyG index. The positive association between the TyG index and MACE was also confirmed in the Kaplan-Meier survival analyses. Multivariate cox proportional hazards analysis indicated that the TyG index was independently associated with the increased risk of MACE, regardless of whether TyG was a continuous [TyG, per 1-unit increase, HR (hazard ratio) 1.41, 95% CI (confidence interval) 1.22-1.62, P < 0.001] or categorical variable [quartile of TyG, the HR (95% CI) values for quartile 4 was 1.92 (1.48-2.49), with quartile 1 as a reference]. In addition, the nonlinear association of TyG index with MACE was shown through RCS model and the risk of MACE increased as the TyG index increased in general (Nonlinear p=0.0215). Besides, no obvious interaction was found in the association of TyG with MACE between the DM (diabetes mellitus) group and the no-DM group. CONCLUSION Among patients with ischemic HF undergoing PCI, the TyG index was correlated with MACE independently and positively.
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Lopez-Jaramillo P, Gomez-Arbelaez D, Martinez-Bello D, Abat MEM, Alhabib KF, Avezum Á, Barbarash O, Chifamba J, Diaz ML, Gulec S, Ismail N, Iqbal R, Kelishadi R, Khatib R, Lanas F, Levitt NS, Li Y, Mohan V, Mony PK, Poirier P, Rosengren A, Soman B, Wang C, Wang Y, Yeates K, Yusuf R, Yusufali A, Zatonska K, Rangarajan S, Yusuf S. Association of the triglyceride glucose index as a measure of insulin resistance with mortality and cardiovascular disease in populations from five continents (PURE study): a prospective cohort study. THE LANCET. HEALTHY LONGEVITY 2023; 4:e23-e33. [PMID: 36521498 DOI: 10.1016/s2666-7568(22)00247-1] [Citation(s) in RCA: 49] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/15/2022] [Accepted: 10/18/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index is an easily accessible surrogate marker of insulin resistance, an important pathway in the development of type 2 diabetes and cardiovascular diseases. However, the association of the TyG index with cardiovascular diseases and mortality has mainly been investigated in Asia, with few data available from other regions of the world. We assessed the association of insulin resistance (as determined by the TyG index) with mortality and cardiovascular diseases in individuals from five continents at different levels of economic development, living in urban or rural areas. We also examined whether the associations differed according to the country's economical development. METHODS We used the TyG index as a surrogate measure for insulin resistance. Fasting triglycerides and fasting plasma glucose were measured at the baseline visit in 141 243 individuals aged 35-70 years from 22 countries in the Prospective Urban Rural Epidemiology (PURE) study. The TyG index was calculated as Ln (fasting triglycerides [mg/dL] x fasting plasma glucose [mg/dL]/2). We calculated hazard ratios (HRs) using a multivariable Cox frailty model with random effects to test the associations between the TyG index and risk of cardiovascular diseases and mortality. The primary outcome of this analysis was the composite of mortality or major cardiovascular events (defined as death from cardiovascular causes, and non-fatal myocardial infarction, or stroke). Secondary outcomes were non-cardiovascular mortality, cardiovascular mortality, all myocardial infarctions, stroke, and incident diabetes. We also did subgroup analyses to examine the magnitude of associations between insulin resistance (ie, the TyG index) and outcome events according to the income level of the countries. FINDINGS During a median follow-up of 13·2 years (IQR 11·9-14·6), we recorded 6345 composite cardiovascular diseases events, 2030 cardiovascular deaths, 3038 cases of myocardial infarction, 3291 cases of stroke, and 5191 incident cases of type 2 diabetes. After adjusting for all other variables, the risk of developing cardiovascular diseases increased across tertiles of the baseline TyG index. Compared with the lowest tertile of the TyG index, the highest tertile (tertile 3) was associated with a greater incidence of the composite outcome (HR 1·21; 95% CI 1·13-1·30), myocardial infarction (1·24; 1·12-1·38), stroke (1·16; 1·05-1·28), and incident type 2 diabetes (1·99; 1·82-2·16). No significant association of the TyG index was seen with non-cardiovascular mortality. In low-income countries (LICs) and middle-income countries (MICs), the highest tertile of the TyG index was associated with increased hazards for the composite outcome (LICs: HR 1·31; 95% CI 1·12-1·54; MICs: 1·20; 1·11-1·31; pinteraction=0·01), cardiovascular mortality (LICs: 1·44; 1·15-1·80; pinteraction=0·01), myocardial infarction (LICs: 1·29; 1·06-1·56; MICs: 1·26; 1·10-1·45; pinteraction=0·08), stroke (LICs: 1·35; 1·02-1·78; MICs: 1·17; 1·05-1·30; pinteraction=0·19), and incident diabetes (LICs: 1·64; 1·38-1·94; MICs: 2·68; 2·40-2·99; pinteraction <0·0001). In contrast, in high-income countries, higher TyG index tertiles were only associated with an increased hazard of incident diabetes (2·95; 2·25-3·87; pinteraction <0·0001), but not of cardiovascular diseases or mortality. INTERPRETATION The TyG index is significantly associated with future cardiovascular mortality, myocardial infarction, stroke, and type 2 diabetes, suggesting that insulin resistance plays a promoting role in the pathogenesis of cardiovascular and metabolic diseases. Potentially, the association between the TyG index and the higher risk of cardiovascular diseases and type 2 diabetes in LICs and MICs might be explained by an increased vulnerability of these populations to the presence of insulin resistance. FUNDING Full funding sources are listed at the end of the paper (see Acknowledgments).
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Affiliation(s)
| | | | | | - Marc Evans M Abat
- Division of Adult Medicine, Department of Medicine, Philippine General Hospital, Manila, Philippines
| | - Khalid F Alhabib
- Department of Cardiac Sciences, King Fahad Cardiac Center, College of Medicine, King Saud Medical City, King Saud University, Riyadh, Saudi Arabia
| | - Álvaro Avezum
- International Research Center, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
| | - Olga Barbarash
- Federal State Budgetary Institution Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
| | - Jephat Chifamba
- Physiology Unit, Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Maria L Diaz
- Estudios Clínicos Latinoamérica and Instituto Cardiovascular de Rosario, Rosario, Argentina
| | - Sadi Gulec
- Cardiology Department, Ankara University School of Medicine, Ankara, Türkiye
| | - Noorhassim Ismail
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Romaina Iqbal
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Roya Kelishadi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Rasha Khatib
- Advocate Aurora Research Institute, Advocate Aurora Health, Downers Grove, IL, USA; Institute of Community and Public Health, Birzeit University, Birzeit, Palestine
| | | | - Naomi S Levitt
- Chronic Disease Initiative for Africa, University of Cape Town, Cape Town, South Africa
| | - Yang Li
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Prem K Mony
- Division of Epidemiology & Population Health, St John's Medical College & Research Institute, Bangalore, India
| | - Paul Poirier
- Faculté de Pharmacie, Université Laval, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec City, QC, Canada
| | - Annika Rosengren
- Sahlgrenska Academy, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Biju Soman
- Health Action by People, Medical College, and Sree Chitra Tirunal Institute for Medical Sciences and Technology, Kerala, India
| | - Chuangshi Wang
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Wang
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Karen Yeates
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Rita Yusuf
- Independent University, Dhaka, Bangladesh
| | | | - Katarzyna Zatonska
- Department of Population Health, Wroclaw Medical University, Wroclaw, Poland
| | - Sumathy Rangarajan
- Population Health Research Institute, McMaster University, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Salim Yusuf
- Population Health Research Institute, McMaster University, Hamilton Health Sciences, Hamilton, ON, Canada
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Association between the triglyceride–glucose index and chronic kidney disease in adults. Int Urol Nephrol 2022; 55:1279-1289. [PMID: 36472799 DOI: 10.1007/s11255-022-03433-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Chronic kidney disease (CKD) is characterized as a progressive dysfunction of the kidney, and it might have a close relationship with insulin resistance. We utilized the triglyceride-glucose (TyG) index, a reliable marker of insulin resistance, to evaluate the association between the TyG index and CKD in adults from the general population. METHODS This was a cross-sectional study obtaining data from the 2015-2018 National Health and Nutrition Examination Survey. The estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR) served as kidney function indicators. We defined CKD as the existence of either low eGFR (eGFR < 60 mL/min/1.73 m2 BSA) or albuminuria (UACR > 30 mg/g). Multivariate regressions, correlated subgroup analyses, and interaction terms were performed in this study. RESULTS For 4361 recruited participants, the mean TyG index was 8.60 ± 0.68, and the prevalence of CKD was 13.35%. Participants with a higher TyG index showed a higher UACR level (β = 25.10, 95% CI: 6.76, 43.44, P = 0.0074) and higher levels of CKD (OR = 1.34, 95% CI: 1.13, 1.59, P = 0.0006). The positive relationship between the TyG index and CKD became stronger and remained significant in the overweight (OR = 1.61, 95% CI: 1.18, 2.20, P = 0.0027) and obese (OR = 2.48, 95% CI: 1.95, 3.15, P < 0.0001) groups and in people with diabetes (OR = 1.94, 95% CI: 1.46, 2.56, P < 0.0001). CONCLUSIONS Higher TyG index was strongly associated with a higher UACR level and higher values of albuminuria and CKD, which might be useful in kidney function screening especially among people in disadvantageous socioeconomic conditions with no availability for direct measurement of kidney function. However, more well-designed studies are still needed to validate this relationship.
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Keskin E, Yoldas Ilktac H. Fructose consumption correlates with triglyceride-glucose index and glycemic status in healthy adults. Clin Nutr ESPEN 2022; 52:184-189. [PMID: 36513452 DOI: 10.1016/j.clnesp.2022.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 10/31/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND AND AIMS The aim of this study was to evaluate the glycemic parameters, lipid profiles, uric acid levels, and triglyceride-glucose (TyG) index of individuals who consume different amounts of fructose. Additionally, the relationship between the TyG index and the homeostatic model assessment for insulin resistance (HOMA-IR) values was investigated. METHODS This cross-sectional study was conducted on healthy adults aged between 18 and 55 who applied to a university hospital in Istanbul, Turkey. Demographic characteristics and food consumption were recorded using the face-to-face interview method. Participants were divided into two groups according to their fructose consumption (≤50 g/day: moderate; >50 g/day: high). The glycemic parameters, lipid profiles, and uric acid levels were measured and TyG index was calculated. RESULTS Fructose consumption of >50 g/day was reported by 25% of the participants. There was no relationship between lipid profile, uric acid, and fructose consumption. The fasting blood glucose (FBG), fasting insulin, HOMA-IR, and TyG index values in the moderate fructose consumption group were significantly lower than those for the high fructose consumption group (P < 0.05). The TyG index was associated with fructose consumption and HOMA-IR (P < 0.05). High fructose consumers exhibited FBG and HOMA-IR levels 1.18 (95% confidence interval [95% CI] = 1.01-1.37) and 1.42 (95% CI = 1.09-1.84) times higher than those for the moderate fructose consumers (P < 0.05). CONCLUSIONS The results of this study confirmed that high fructose consumption negatively affects glycemic status in healthy adults. Additionally, this study revealed that there is a significant association between daily fructose consumption and TyG index.
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Affiliation(s)
- Eda Keskin
- Department of Nutrition and Dietetics, Institute of Health Sciences, Istanbul Medipol University, Kavacik South Campus, Beykoz, 34810 Istanbul, Turkey.
| | - Havvanur Yoldas Ilktac
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Medeniyet University, Kartal Cevizli Campus, Kartal, 34862 Istanbul, Turkey.
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Mei K, Ling Q, Yan Z. Correlation analysis of the triglyceride glucose index and heart failure with preserved ejection fraction in essential hypertensive patients. Clin Cardiol 2022; 46:109-110. [PMID: 36403260 PMCID: PMC9849432 DOI: 10.1002/clc.23944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/06/2022] [Accepted: 10/06/2022] [Indexed: 11/21/2022] Open
Affiliation(s)
- Kaibo Mei
- Department of Anesthesiologythe People's Hospital of ShangraoJiangxiChina
| | - Qin Ling
- Endocrine DepartmentThe Second Affiliated Hospital of Nanchang UniversityJiangxiChina
| | - Zhiwei Yan
- Department of Sports Rehabilitation, College of Human KinesiologyShenyang Sport UniversityLiaoningShenyangChina
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Ferreira JRS, Zandonade E, de Paula Alves Bezerra OM, Salaroli LB. Insulin resistance by the triglyceride-glucose index in a rural Brazilian population. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:848-855. [PMID: 35929905 PMCID: PMC10118758 DOI: 10.20945/2359-3997000000509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Objective The aim of this study was to estimate the prevalence of insulin resistance (IR) in a rural population in Brazil, to verify its association with sociodemographic, labor, lifestyle, and health factors. Subjects and methods This is a cross-sectional study with 790 farmers in the state of Espírito Santo/Brazil. Triglyceride-glucose (TyG) was calculated and a cut-off point of Ln 4.52 was used. A hierarchical logistic regression for the association of insulin resistance with sociodemographic, labor, lifestyle and health variables of farmers living in Espírito Santo was performed. Results The prevalence of insulin resistance was 33.7% (n = 266), and the association with insulin resistance was found in the age group 31 to 40 years of age (OR = 1.85; 95% CI 1.19-2.87); in smokers or former smokers (OR = 1.63; 95% CI 1.08-2.48) and overweight (OR = 3.06; 95% CI 2.22-4.23). Conclusion The prevalence of insulin resistance was high in a rural population of Brazil, and was mainly associated with age, smoking and obesity. The use of TyG as an instrument for assessing the health of individuals living in areas where access to health services is difficult, such as rural areas, can represent an important advance in terms of health promotion, protection and recovery. In addition, by identifying the risk factors associated with IR, as well as their consequences, a more adequate scheme for the prevention and treatment of these comorbidities can be defined.
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Affiliation(s)
| | - Eliana Zandonade
- Programa de Pós-graduação em Saúde Pública, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brasil
| | | | - Luciane Bresciani Salaroli
- Programa de Pós-graduação em Saúde Pública, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brasil
- Programa de Pós-graduação em Nutrição e Saúde, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brasil
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Vidal-Ostos F, Ramos-Lopez O, Jebb SA, Papadaki A, Pfeiffer AFH, Handjieva-Darlenska T, Kunešová M, Blaak EE, Astrup A, Martinez JA. Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight loss. Nutr Metab (Lond) 2022; 19:71. [PMID: 36261843 PMCID: PMC9583584 DOI: 10.1186/s12986-022-00707-y] [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: 02/15/2022] [Accepted: 10/14/2022] [Indexed: 11/17/2022] Open
Abstract
Background and aim The role of dietary protein and glycemic index on insulin resistance (based on TyG index) within a nutritional program for weight loss and weight maintenance was examined. Methods This study analyzed 744 adults with overweight/obesity within the DIOGenes project. Patients who lost at least 8% of their initial weight (0–8 weeks) after a low-calorie diet (LCD) were randomly assigned to one of five ad libitum diets designed for weight maintenance (8–34 weeks): high/low protein (HP/LP) and high/low glycemic index (HGI/LGI), plus a control. The complete nutritional program (0–34 weeks) included both LCD plus the randomized diets intervention. The TyG index was tested as marker of body mass composition and insulin resistance. Results In comparison with the LP/HGI diet, the HP/LGI diet induced a greater BMI loss (p < 0.05). ∆TyG was positively associated with resistance to BMI loss (β = 0.343, p = 0.042) during the weight maintenance stage. In patients who followed the HP/LGI diet, TyG (after LCD) correlated with greater BMI loss in the 8–34 weeks period (r = −0.256; p < 0.05) and during the 0–34 weeks intervention (r = −0.222, p < 0.05) periods. ΔTyG1 value was associated with ΔBMI2 (β = 0.932; p = 0.045) concerning the HP/LGI diet. Conclusions A HP/LGI diet is beneficial not only for weight maintenance after a LCD, but is also related to IR amelioration as assessed by TyG index changes. Registration Clinical Trials NCT00390637. Supplementary Information The online version contains supplementary material available at 10.1186/s12986-022-00707-y.
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Affiliation(s)
| | - Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Universidad 14418, UABC, Parque Internacional Industrial Tijuana, 22390, Tijuana, B.C., Mexico.
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Angeliki Papadaki
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Andreas F H Pfeiffer
- Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, German Center of Diabetes Research, DZD, Berlin, Germany
| | | | - Marie Kunešová
- Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic
| | - Ellen E Blaak
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Arne Astrup
- Obesity and Nutrition Science, Novo Nordisk Fonden, Tuborg Havnevej 15, 2900, Hellerup, Denmark
| | - J Alfredo Martinez
- Navarra's Health Research Institute (IdiSNA), Pamplona, Spain.,CIBERobn Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid, Spain.,Precision Nutrition Program, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
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Salvatori B, Linder T, Eppel D, Morettini M, Burattini L, Göbl C, Tura A. TyGIS: improved triglyceride-glucose index for the assessment of insulin sensitivity during pregnancy. Cardiovasc Diabetol 2022; 21:215. [PMID: 36258194 PMCID: PMC9580191 DOI: 10.1186/s12933-022-01649-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 09/28/2022] [Indexed: 11/21/2022] Open
Abstract
Background The triglyceride-glucose index (TyG) has been proposed as a surrogate marker of insulin resistance, which is a typical trait of pregnancy. However, very few studies analyzed TyG performance as marker of insulin resistance in pregnancy, and they were limited to insulin resistance assessment at fasting rather than in dynamic conditions, i.e., during an oral glucose tolerance test (OGTT), which allows more reliable assessment of the actual insulin sensitivity impairment. Thus, first aim of the study was exploring in pregnancy the relationships between TyG and OGTT-derived insulin sensitivity. In addition, we developed a new version of TyG, for improved performance as marker of insulin resistance in pregnancy. Methods At early pregnancy, a cohort of 109 women underwent assessment of maternal biometry and blood tests at fasting, for measurements of several variables (visit 1). Subsequently (26 weeks of gestation) all visit 1 analyses were repeated (visit 2), and a subgroup of women (84 selected) received a 2 h-75 g OGTT (30, 60, 90, and 120 min sampling) with measurement of blood glucose, insulin and C-peptide for reliable assessment of insulin sensitivity (PREDIM index) and insulin secretion/beta-cell function. The dataset was randomly split into 70% training set and 30% test set, and by machine learning approach we identified the optimal model, with TyG included, showing the best relationship with PREDIM. For inclusion in the model, we considered only fasting variables, in agreement with TyG definition. Results The relationship of TyG with PREDIM was weak. Conversely, the improved TyG, called TyGIS, (linear function of TyG, body weight, lean body mass percentage and fasting insulin) resulted much strongly related to PREDIM, in both training and test sets (R2 > 0.64, p < 0.0001). Bland–Altman analysis and equivalence test confirmed the good performance of TyGIS in terms of association with PREDIM. Different further analyses confirmed TyGIS superiority over TyG. Conclusions We developed an improved version of TyG, as new surrogate marker of insulin sensitivity in pregnancy (TyGIS). Similarly to TyG, TyGIS relies only on fasting variables, but its performances are remarkably improved than those of TyG. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01649-8.
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Affiliation(s)
| | - Tina Linder
- Department of Obstetrics and Gynaecology, Medical University of Vienna, 1090, Vienna, Austria
| | - Daniel Eppel
- Department of Obstetrics and Gynaecology, Medical University of Vienna, 1090, Vienna, Austria
| | - Micaela Morettini
- Department of Information Engineering, Università Politecnica Delle Marche, 60131, Ancona, Italy
| | - Laura Burattini
- Department of Information Engineering, Università Politecnica Delle Marche, 60131, Ancona, Italy
| | - Christian Göbl
- Department of Obstetrics and Gynaecology, Medical University of Vienna, 1090, Vienna, Austria
| | - Andrea Tura
- CNR Institute of Neuroscience, Corso Stati Uniti 4, 35127, Padua, Italy.
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Primo D, Izaola O, de Luis DA. Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects. ANNALS OF NUTRITION & METABOLISM 2022; 79:238-245. [PMID: 36209727 DOI: 10.1159/000526988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 08/28/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Recently, the triglyceride-glucose (TyG) index has been suggested as a surrogate insulin resistance marker. This index could act as an early screening marker in individuals with a high risk of metabolic syndrome (MS) such as obese subjects. AIMS The objective of this work was to detect the cutoff point of the TyG index for the diagnosis of MS according to ATPIII criteria on obese subjects and to compare with HOMA-IR. METHODS We conducted a cross-sectional study in 1,494 obese subjects. Measurements of adiposity parameters, blood pressure, fasting blood glucose, insulin concentration, insulin resistance (HOMA-IR), lipid profile, C-reactive protein, adipokines, and the prevalence of MS were determined. The TyG index was calculated from the next equation: Ln (fasting triglycerides (mg/dL) × fasting glucose (mg/dL))/2. RESULTS A total of 1,494 subjects were recruited, 421 males (28.1%) and 1,073 females (71.8%), with an average age of 45.8 ± 15.3 years (range: 29-62). A total of 677 subjects had MS (45.5%) and 817 did not show MS (54.6%). The averages of HOMA-IR and TyG index values increased as the components of MS were aggregated, and both indexes were higher in subjects with MS. The area under the curve (AUC) of the TyG index according to ATPIII criteria showed values of 0.746 (0.721-0.771; p = 0.001). The cutoff point according to the Youden index was 4.72, with sensitivity and specificity of 87% and 88.2%, respectively. For the HOMA-IR, AUC showed values of 0.682 (0.654-0.710; p = 0.01). The cutoff point was 3.23, with sensitivity and specificity of 78% and 70.1%, respectively. CONCLUSIONS The TyG index is more powerful for predicting MS than HOMA-IR in Caucasian obese subjects.
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Affiliation(s)
- David Primo
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Investigation Centre on Endocrinology and Nutrition (IEN), University of Valladolid, Valladolid, Spain
| | - Olatz Izaola
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Investigation Centre on Endocrinology and Nutrition (IEN), University of Valladolid, Valladolid, Spain
| | - Daniel A de Luis
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Investigation Centre on Endocrinology and Nutrition (IEN), University of Valladolid, Valladolid, Spain
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ÖZBİÇER S, YÜKSEL G, Deniz URGUN Ö. Triglyceride glucose index is independently associated with aortic intima-media thickness in patients without known atherosclerotic cardiovascular disease or diabetes. Diab Vasc Dis Res 2022; 19:14791641221136203. [PMID: 36270638 PMCID: PMC9597021 DOI: 10.1177/14791641221136203] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: The triglyceride-glucose (TyG) index is a reliable marker of insulin resistance. We aimed to investigate the relationship between the TyG index and aortic intima-media thickness (IMT) in individuals without diabetes mellitus and atherosclerotic cardiovascular disease undergoing transoesophageal echocardiography due to suspected structural heart disease.Methods: One hundred twenty-two patients enrolled in the study between January 2021 and June 2021. Patients were divided into two groups according to their median IMT; patients with an IMT equal to or less than 1.42 mm were low IMT group, and higher than 1.42 mm were high IMT group. Triglyceride-glucose index were higher in the high IMT group (8.69 ± 0.59 vs. 8.37 ± 0.53, p = .003).Results: Triglyceride-glucose index was correlated with IMT (r = 0.259, p = .005) and in binary logistic regression analysis age and TyG was independently associated with having high IMT (β = 0.076, exp(B)=1.079 95%CI = 1.041-1.118, p < .001 and β = 0.847, exp(B)= 2.334 95%CI= 1.048-5.199, p = .038, respectively).Conclusion: We found an independent relationship between TyG and IMT of the thoracic aorta, an early marker of subclinical atherosclerosis in patients without known atherosclerotic cardiovascular disease or diabetes. Therefore, the TyG index can identify high-risk subjects in the general population.
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Affiliation(s)
- Süleyman ÖZBİÇER
- Department of Cardiology, University of Health Sciences Adana
City Training and Research Hospital, Adana, Turkey
- Süleyman ÖZBİÇER, Department of Cardiology,
University of Health Sciences Adana City Training and Research Hospital, Mithat
Özsan Bulvarı Kışla Mah. 4522 Sok. No:1, 01230, Yüreğir/ADANA, Adana, Turkey.
| | - Gülhan YÜKSEL
- Department of Cardiology, University of Health Sciences Adana
City Training and Research Hospital, Adana, Turkey
| | - Örsan Deniz URGUN
- Department of Cardiology, University of Health Sciences Adana
City Training and Research Hospital, Adana, Turkey
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Araújo SP, da Silva A, Bressan J, Juvanhol LL, Castro LCV, Hermsdorff HHM. Fat Intake and High Triglyceride-Glucose Index in Individuals at Cardiometabolic Risk: An Isocaloric Substitution Analyses. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2022; 42:452-458. [PMID: 35939090 DOI: 10.1080/07315724.2022.2064001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
Insulin resistance (IR) is an important risk factor for cardiovascular diseases, and the triglyceride-glucose index (TyG index) is a potential IR biomarker. Evidence also suggests that fat intake may modulate IR status, but this relationship remains unclear. Thus, the present study aimed to analyze the relationship between the TyG index and isocaloric replacement of macronutrients, including the profile of dietary fatty acids in individuals at cardiometabolic risk. This cross-sectional study enrolled 264 individuals at cardiometabolic risk (age 43.1 ± 16.3 years) who participated in a nutritional intervention study (ReBEC, id: RBR-5n4y2g). The baseline demographic, anthropometric, clinical, dietary, and lifestyle data were used. The TyG index was calculated using the formula ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. Multivariate nutrient density models were used to analyze isocaloric replacement of fatty acids (as 5% of energy). The chance of having a high TyG index (TyG index >8.83, median value) was decreased by 60% after replacing 5% of the energy intake of polyunsaturated fatty acid (PUFA), saturated fatty acid (SFA), and trans fatty acid (TFA) with monounsaturated fatty acid (MUFA) or PUFA and SFA with protein. Isocaloric replacement of PUFA, SFA, and TFA with MUFA and protein was associated with lower chances of having a high TyG index. These results indicate the importance of macronutrient and dietary fat profiles in the dietary planning of individuals at cardiometabolic risk.
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Affiliation(s)
- Susilane Pereira Araújo
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Alessandra da Silva
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Leidjaira Lopes Juvanhol
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
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Wu Z, Liu L, Wang W, Cui H, Zhang Y, Xu J, Zhang W, Zheng T, Yang J. Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study. Cardiovasc Diabetol 2022; 21:142. [PMID: 35906587 PMCID: PMC9338459 DOI: 10.1186/s12933-022-01576-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/16/2022] [Indexed: 12/12/2022] Open
Abstract
Background Premature coronary artery disease (PCAD) has become more common in recent years and is often associated with poor outcomes. Triglyceride-glucose (TyG) index is a simple and reliable surrogate for insulin resistance (IR) and is an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients with PCAD remains uncertain. Thus, this study aimed to investigate the prognostic value and predictive performance of the TyG index in patients with PCAD. Methods A total of 526 young subjects (male < 45 years, female < 55 years) with angiographically proven CAD from January 2013 to December 2018 were included consecutively in this study. Their clinical and laboratory parameters were collected, and the TyG index was calculated as \documentclass[12pt]{minimal}
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\begin{document}$$\mathrm{Ln}[\mathrm{fasting triglyceride }(\mathrm{TG}) (\mathrm{mg}/\mathrm{dL})\times \mathrm{fasting plasma glucose }(\mathrm{FPG}) (\mathrm{mg}/\mathrm{dL})/2]$$\end{document}Ln[fastingtriglyceride(TG)(mg/dL)×fastingplasmaglucose(FPG)(mg/dL)/2]. The follow-up time after discharge was 40–112 months (median, 68 months; interquartile range, 49‒83 months). The primary endpoint was the occurrence of the major adverse cardiovascular events (MACE), defined as the composite of all-cause death, non-fatal myocardial infarction (MI), coronary artery revascularization, and non-fatal stroke. Results The TyG index was significantly associated with traditional cardiovascular risk factors and the Gensini score (GS). Kaplan–Meier survival (MACE-free) curves by tertiles of the TyG index showed statistically significant differences (log-rank test, p = 0.001). In the fully adjusted Cox regression model, the Hazard ratio (95% CI) of MACE was 2.17 (1.15–4.06) in tertile 3 and 1.45 (1.11–1.91) for per SD increase in the TyG index. Time-dependent ROC analyses of the TyG for prediction of MACE showed the area under the curves (AUC) reached 0.631 at 3 years, 0.643 at 6 years, and 0.710 at 9 years. Furthermore, adding TyG index to existing risk prediction model could improve outcome prediction [C-statistic increased from 0.715 to 0.719, p = 0.007; continuous net reclassification improvement (NRI) = 0.101, p = 0.362; integrated discrimination improvement (IDI) = 0.011, p = 0.017]. Conclusion The TyG index is an independent predictor of MACE in patients with PCAD, suggesting that the TyG index has important clinical implications for risk stratification and early intervention of PCAD. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01576-8.
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Affiliation(s)
- Zhenguo Wu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Li Liu
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Weiwei Wang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Huiliang Cui
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Yerui Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jiechang Xu
- Department of Cardiology, Boshan District Hospital, Zibo, China
| | - Wencheng Zhang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Tengfei Zheng
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Jianmin Yang
- The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China.
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Aierken A, Li B, Liu P, Cheng X, Kou Z, Tan N, Zhang M, Yu S, Shen Q, Du X, Enkhbaatar BB, Zhang J, Zhang R, Wu X, Wang R, He X, Li N, Peng S, Jia W, Wang C, Hua J. Melatonin treatment improves human umbilical cord mesenchymal stem cell therapy in a mouse model of type II diabetes mellitus via the PI3K/AKT signaling pathway. Stem Cell Res Ther 2022; 13:164. [PMID: 35414044 PMCID: PMC9006413 DOI: 10.1186/s13287-022-02832-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 03/01/2022] [Indexed: 01/14/2023] Open
Abstract
Background Mesenchymal stem cells (MSCs) are promising candidates for tissue regeneration and disease treatment. However, long-term in vitro passaging leads to stemness loss of MSCs, resulting in failure of MSC therapy. This study investigated whether the combination of melatonin and human umbilical cord mesenchymal stem cells (hUC-MSCs) was superior to hUC-MSCs alone in ameliorating high-fat diet and streptozocin (STZ)-induced type II diabetes mellitus (T2DM) in a mouse model. Methods Mice were divided into four groups: normal control (NC) group; T2DM group; hUC-MSCs treatment alone (UCMSC) group and pretreatment of hUC-MSCs with melatonin (UCMSC/Mel) group. Results RNA sequence analysis showed that certain pathways, including the signaling pathway involved in the regulation of cell proliferation signaling pathway, were regulated by melatonin. The blood glucose levels of the mice in the UCMSC and UCMSC/Mel treatment groups were significantly reduced compared with the T2DM group without treatment (P < 0.05). Furthermore, hUC-MSCs enhance the key factor in the activation of the PI3K/Akt pathway in T2DM mouse hepatocytes. Conclusion The pretreatment of hUC-MSCs with melatonin partly boosted cell efficiency and thereby alleviated impaired glycemic control and insulin resistance. This study provides a practical strategy to improve the application of hUC-MSCs in diabetes mellitus and cytotherapy. Graphical abstract ![]()
Overview of the PI3K/AKT signaling pathway. (A) Underlying mechanism of UCMSC/Mel inhibition of hyperglycemia and insulin resistance T2DM mice via regulation of PI3K/AKT pathway. hUC-MSCs stimulates glucose uptake and improves insulin action thus should inhibition the clinical signs of T2DM, through activation of the p-PI3K/Akt signaling pathway and then regulates glucose transport through activating AS160. UCMSC/Mel increases p53-dependent expression of BCL2, and inhibit BAX and Capase3 protein activation. Leading to the decrease in apoptosis. (B) Melatonin modulated PI3K/AKT signaling pathway. Melatonin activated PI3K/AKT response pathway through binding to MT1and MT2 receptor. Leading to the increase in hUC-MSCs proliferation, migration and differentiation. → (Direct stimulatory modification); ┴ ( Direct Inhibitory modification); → ┤ (Multistep inhibitory modification); ↑ (Up regulate); ↓ (Down regulate); PI3K (Phosphoinositide 3-Kinase); AKT ( protein kinase B); PDK1 (Phosphoinositide-dependent protein kinase 1); IR, insulin receptor; GLUT4 ( glucose transporter type 4); ROS (reactive oxygen species); BCL-2 (B-cell lymphoma-2); PDK1 (phosphoinositide-dependent kinase 1) BAX (B-cell lymphoma-2-associated X protein); PCNA (Proliferating cell nuclear antigen); Cell cycle-associated proteins (KI67, cyclin A, cyclin E) Supplementary Information The online version contains supplementary material available at 10.1186/s13287-022-02832-0.
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Affiliation(s)
- Aili Aierken
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Balun Li
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Peng Liu
- Department of Endocrinology and Metabolism, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Xuedi Cheng
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Zheng Kou
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Ning Tan
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Mengfei Zhang
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Shuai Yu
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Qiaoyan Shen
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Xiaomin Du
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Bold Bayar Enkhbaatar
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Juqing Zhang
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Rui Zhang
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Xiaolong Wu
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Ruibin Wang
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Xin He
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Na Li
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Sha Peng
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China
| | - Wenwen Jia
- Institute for Regenerative Medicine, National Stem Cell Translational Resource Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Congrong Wang
- Department of Endocrinology and Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, China.
| | - Jinlian Hua
- College of Veterinary Medicine, Shaanxi Centre of Stem Cells Engineering and Technology, Northwest A&F University, YanglingShaanxi, 712100, China.
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Li Z, He Y, Wang S, Li L, Yang R, Liu Y, Cheng Q, Yu L, Zheng Y, Zheng H, Gao S, Yu C. Association between triglyceride glucose index and carotid artery plaque in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovasc Diabetol 2022; 21:38. [PMID: 35277186 PMCID: PMC8917731 DOI: 10.1186/s12933-022-01470-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 02/28/2022] [Indexed: 01/14/2023] Open
Abstract
Background The triglyceride glucose (TyG) index serves as a surrogate indicator of insulin resistance. However, there is limited evidence on the association between the TyG index and carotid artery plaque (CAP) in patients with coronary heart disease (CHD). Methods The 10,535 CHD patients were divided according to TyG index quartiles (Q1: TyG index < 8.52; Q2: 8.52 ≤ TyG index < 8.93; Q3: 8.93 ≤ TyG index ≤ 9.40; Q4: TyG index > 9.40). The presence or absence of CAP was determined by carotid ultrasonography. Logistic regression was used to analyze the relationship between the TyG index and CAP in CHD patients. The relationship between the TyG index and CAP in according to sex, age groups, and glucose metabolism states were also assessed. Results The baseline analysis showed that there were significant differences in related parameters among CHD patients divided into four groups according to the quartile of the TyG index. In the multi-adjusted modles, compared to Q1 of the TyG index, the odds ratios (OR) for Q4 of the TyG index for CAP were 1.37 (95% confidence interval [CI] 1.28–1.47) in CHD patients. The association between the TyG index and CAP in female (OR: 1.35; 95% CI 1.29–1.43) was higher than that in male (OR: 1.20; 95% CI 1.13–1.27). The OR value of middle-aged (≤ 60 years old) patients (OR: 1.34; 95% CI 1.26–1.42) was higher than that in elderly (> 60 years old) patients (OR: 1.16; 95% CI 1.11–1.22). In different glucose metabolism states, the TyG index of CHD patients was significantly related to the risk of CAP, with the highest OR value observed for diabetes (OR: 1.36; 95% CI 1.26–1.46). Conclusions The TyG index and CAP showed a significant association in CHD patients. This association between TyG index and CAP in CHD patients is higher in female than in male, and the association in middle-aged and elderly patients is higher than that in elderly patients. In the condition of DM, the association between TyG index and carotid artery plaque in CHD patients is higher. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01470-3.
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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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Guo Q, Feng X, Zhang B, Zhai G, Yang J, Liu Y, Liu Y, Shi D, Zhou Y. Influence of the Triglyceride-Glucose Index on Adverse Cardiovascular and Cerebrovascular Events in Prediabetic Patients With Acute Coronary Syndrome. Front Endocrinol (Lausanne) 2022; 13:843072. [PMID: 35295991 PMCID: PMC8920560 DOI: 10.3389/fendo.2022.843072] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 01/26/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Cardiovascular disease and insulin resistance are closely related. The triglyceride-glucose (TyG) index is frequently used as an indicator of insulin resistance. However, there is scant information on the TyG index in the prediabetic population, nor is the prognostic significance of the index known for prediabetes and acute coronary syndrome (ACS) patients. METHODS The clinical endpoint was a major adverse cardiovascular and cerebrovascular event (MACCEs), including cardiac-related death, non-fatal myocardial infarction, ischemia-driven revascularization, and stroke. The TyG index was calculated as = ln [(triglyceride level, mg/dL) × (glucose level, mg/dL)÷2] under fasting conditions. RESULTS The study included 2,030 prediabetic patients with ACS. Patients were followed up for 2.5 years, during which the total incidence of MACCEs was 12%. After adjustment for covariates, the TyG index was found to be predictive of prediabetes with ACS (HR 4.942, 95%CI: 3.432-6.115, P<0.001). Using propensity score matching, 574 pairs were successfully matched, and the two groups were analyzed in terms of survival. This showed that there was a significantly greater incidence of MACCEs in patients with high TyG indices (HR 3.526, 95%CI: 2.618-4.749, P<0.001), mainly due to ischemia-driven revascularization and stroke. CONCLUSIONS The TyG index independently predicts future MACCEs and may be an important prognostic indicator for patients with prediabetes and ACS.
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Affiliation(s)
- Qianyun Guo
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Xunxun Feng
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Bin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Guangyao Zhai
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Jiaqi Yang
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Yang Liu
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Yuyang Liu
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Dongmei Shi
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
- *Correspondence: Yujie Zhou, ; Dongmei Shi,
| | - Yujie Zhou
- Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
- *Correspondence: Yujie Zhou, ; Dongmei Shi,
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50
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Song T, Su G, Chi Y, Wu T, Xu Y, Chen C. Triglyceride-glucose index predicts the risk of gestational diabetes mellitus: a systematic review and meta-analysis. Gynecol Endocrinol 2022; 38:10-15. [PMID: 34184968 DOI: 10.1080/09513590.2021.1940932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
AIMS We aimed to investigate the potential predictive efficacy of triglyceride-glucose (T/Gly) index for gestational diabetes mellitus (GDM) in a systematic review and meta-analysis. MATERIALS AND METHODS Cohort studies demonstrating the association between T/Gly index measured at the first trimester or before pregnancy and the subsequent incidence of GDM were identified by search of PubMed, Embase, China National Knowledge Infrastructure, and WanFang databases. A random-effect model incorporating the heterogeneity was applied to pool the results. Five cohort studies including 382,213 women were included in this meta-analysis. RESULTS Compared to those with the lowest category of T/Gly index, women with the highest category of T/Gly index were independently associated with higher risk of subsequent GDM (odds ratio [OR]: 2.52, 95% confidence interval [CI]: 1.33 ∼ 4.67, I2=65%, p=.004) after adjustment of potential confounding factors including age, body mass index, and family history of diabetes. The association was stronger in prospective cohort studies than retrospective cohort studies (p for subgroup difference=.007), and a significant association was detected in Asian women (OR: 3.30, 95% CI: 1.50-7.28, p =.003), but not in non-Asian women (OR: 0.96, 95% CI: 0.35-2.63, p=.94). CONCLUSIONS Higher T/Gly index may independently predict the risk of GDM in Asian women.
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Affiliation(s)
- Tianrong Song
- Department of Obstetrics and Gynecology, Distinct Healthcare, Shenzhen, P. R. China
| | - Guidong Su
- Department of Obstetrics and Gynecology, Nanfang Hospital Affiliated to Southern Medical University, Guangzhou, P. R. China
| | - Yali Chi
- Department of Obstetrics and Gynecology, Nanfang Hospital Affiliated to Southern Medical University, Guangzhou, P. R. China
| | - Ting Wu
- Department of Obstetrics and Gynecology, University of Hong Kong Shenzhen Hospital, Shenzhen, P. R. China
| | - Yue Xu
- Department of Obstetrics and Gynecology, University of Hong Kong Shenzhen Hospital, Shenzhen, P. R. China
| | - Chunchun Chen
- Department of Obstetrics and Gynecology, University of Hong Kong Shenzhen Hospital, Shenzhen, P. R. China
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