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Wakabayashi I. Associations between glycemic status and the ratio of γ-glutamyl transferase to HDL-C in middle-aged women. Lab Med 2025; 56:230-237. [PMID: 39487811 DOI: 10.1093/labmed/lmae084] [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] [Indexed: 11/04/2024] Open
Abstract
OBJECTIVE The ratio of γ-glutamyl transferase to HDL-C (GGT/HDL-C) has been proposed as a discriminator of metabolic syndrome. The purpose of this study was to elucidate the relationship between GGT/HDL-C and glycemic status in women. METHODS The subjects were 18,218 middle-aged women who had received annual health checkups in their workplaces. They were divided by habitual alcohol intake into nondrinkers, occasional drinkers, regular light drinkers, and regular heavy drinkers. RESULTS In overall subjects, hemoglobin A1c level and prevalence of diabetes tended to be higher in subjects with higher GGT/HDL-C, and GGT/HDL-C tended to be higher with an increase of alcohol intake. The odds ratio for hyperglycemia in subjects with vs. subjects without high GGT/HDL-C tended to be lower with an increase of alcohol intake, and the association between high GGT/HDL-C and hyperglycemia was significantly weaker in regular heavy drinkers than in nondrinkers. CONCLUSION In middle-aged women, there were positive associations of GGT/HDL-C with alcohol intake and glycemic status, and the association between GGT/HDL-C and glycemic status tended to be weaker with an increase of alcohol intake. Thus, alcohol use should be taken into account when GGT/HDL-C is used as a discriminator of diabetes.
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Affiliation(s)
- Ichiro Wakabayashi
- Department of Environmental and Preventive Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan
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He L, Chen S, Zhu X, He F. Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio: A valuable predictor of coronary heart disease incidence. Nutr Metab Cardiovasc Dis 2025; 35:103775. [PMID: 39638678 DOI: 10.1016/j.numecd.2024.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 09/25/2024] [Accepted: 10/23/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND AND AIM Existing studies have found that serological markers for predicting coronary heart disease (CHD) have relatively low predictive value for the severity of coronary arteries and the types of CHD. GGT to HDL-C ratio (GHR) has been shown to be associated with T2DM and non-alcoholic fatty liver disease. Therefore, we explore the relationship among GHR, CHD and its subgroups. METHODS AND RESULTS The study retrospectively analyzed 2703 participants from August 2022 to August 2023. The patients were divided into CHD group (N = 1911) and control group (N = 792) according to the diagnostic criteria of CHD. Adjustments for all covariates found that GHR was an independent risk factor for CHD (OR: 1.025, 95 % CI 1.016-1.033) and had the highest AUC of 0.767 (95 % CI 0.744-0.790) in identifying CHD. Additionally, GHR was significantly associated with multi-vessel CHD (OR: 1.018, 95 % CI 1.012-1.023) and showed excellent diagnostic capability for patients with multi-vessel CHD (AUC: 0.638). Moreover, compared with chronic coronary syndromes (CCS) and unstable angina (UA) groups, the level of GHR was significantly increased in acute myocardial infarction (AMI) (ST elevation myocardial infarction and Non-ST elevation myocardial infarction) group (P < 0.05). GHR had the higher AUC in STMETI [0.819 (95 % CI 0.796-0.854)] and NASTEMI [0.792 (95 % CI 0.766-0.816)] than the CCS and UA groups. CONCLUSIONS Our study analyses found that GHR is an independent risk factor for CHD and can predict the severity of coronary artery stenosis. Moreover, GHR has a high predictive value for AMI than CCS and UA in CHD patients.
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Affiliation(s)
- Li He
- Department of Emergency, Wuhan Fourth Hospital, No. 473 Hanzheng Street, Qiaokou District, Wuhan, Hubei, 430033, China.
| | - Sisi Chen
- Department of Emergency, Wuhan Fourth Hospital, No. 473 Hanzheng Street, Qiaokou District, Wuhan, Hubei, 430033, China
| | - Xuan Zhu
- Department of Emergency, Wuhan Fourth Hospital, No. 473 Hanzheng Street, Qiaokou District, Wuhan, Hubei, 430033, China
| | - Fang He
- Department of Emergency, Wuhan Fourth Hospital, No. 473 Hanzheng Street, Qiaokou District, Wuhan, Hubei, 430033, China
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He CT, Chen FY, Kuo CH, Lin CY, Pei D, Pitrone P, Chen JS, Wu CZ. Association between gamma-glutamyl transferase and diabetes factors among elderly nonobese individuals. Medicine (Baltimore) 2025; 104:e41913. [PMID: 40128013 PMCID: PMC11936563 DOI: 10.1097/md.0000000000041913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2024] [Accepted: 03/04/2025] [Indexed: 03/26/2025] Open
Abstract
Type 2 diabetes mellitus is a significant health concern among elderly individuals in Taiwan, and liver dysfunction, particularly nonalcoholic fatty liver disease, is prevalent in this population. Gamma-glutamyl transferase (γ-GT), a key enzyme involved in glutathione metabolism, has been linked to metabolic disorders, including insulin resistance (IR) and diabetes. However, its association with insulin secretion phases (first-phase insulin secretion, FPIS; second-phase insulin secretion, SPIS) and glucose effectiveness (GE) remains unclear. This study aimed to investigate these relationships in elderly nonobese Chinese individuals. A total of 10,933 participants (5082 men and 5851 women) aged ≥ 65 years were enrolled. Participants were classified based on metabolic syndrome (MetS) status and γ-GT quartiles. Blood samples were analyzed for γ-GT, fasting plasma glucose, insulin resistance, and lipid profiles. The study used established equations to calculate IR, FPIS, SPIS, and GE. Pearson correlation analysis and statistical models were applied to assess the associations. 768 men and 794 women had MetS. Those with MetS had higher IR, FPIS, SPIS, γ-GT levels, and lower GE. Higher γ-GT levels were significantly associated with MetS components and increased IR, FPIS, SPIS, and decreased GE. GE had the strongest negative correlation (r = -0.198 for men, -0.158 for women), followed by positive correlations with IR (r = 0.183 for men, 0.132 for women), SPIS (r = 0.099 for men, 0.060 for women), and FPIS (r = 0.028 for men, 0.048 for women). γ-GT was positively associated with IR, FPIS, and SPIS but negatively correlated with GE in elderly individuals. Among the 4 diabetes factors, GE exhibited the strongest correlation with γ-GT, followed by IR, SPIS, and FPIS. These findings highlight the need for further research into the role of γ-GT in glucose metabolism and potential clinical implications for elderly nonobese Chinese populations.
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Affiliation(s)
- Chih-Tsueng He
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan, R.O.C
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan, R.O.C
| | - Fang-Yu Chen
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Fu Jen Catholic University Hospital, School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C
| | - Chun-Heng Kuo
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Fu Jen Catholic University Hospital, School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C
| | - Chung-Yu Lin
- Department of Cardiology, Graduate Institute of Business Administration, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C
| | - Dee Pei
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Fu Jen Catholic University Hospital, School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan, R.O.C
| | | | - Jin-Shuen Chen
- Kaohsiung Veterans General Hospital, Kaohsiung City, Taiwan, R.O.C
- Institute of Precision Medicine, National Sun Yat-sen University, Kaohsiung City, Taiwan, R.O.C
- Department of Medicine, Division of Nephrology, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan, R.O.C
| | - Chung-Ze Wu
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan, R.O.C
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan, R.O.C
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Shan H, Fan S, Li Q, Liang R, Chen Z, Wang S, Wang X, Li Y, Chen S, Yu K, Fei T. Systematic interrogation of functional genes underlying cholesterol and lipid homeostasis. Genome Biol 2025; 26:59. [PMID: 40098013 PMCID: PMC11912599 DOI: 10.1186/s13059-025-03531-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 03/06/2025] [Indexed: 03/19/2025] Open
Abstract
BACKGROUND Dyslipidemia or hypercholesterolemia are among the main risk factors for cardiovascular diseases. Unraveling the molecular basis of lipid or cholesterol homeostasis would help to identify novel drug targets and develop effective therapeutics. RESULTS Here, we adopt a systematic approach to catalog the genes underlying lipid and cholesterol homeostasis by combinatorial use of high-throughput CRISPR screening, RNA sequencing, human genetic variant association analysis, and proteomic and metabolomic profiling. Such integrative multi-omics efforts identify gamma-glutamyltransferase GGT7 as an intriguing potential cholesterol and lipid regulator. As a SREBP2-dependent target, GGT7 positively regulates cellular cholesterol levels and affects the expression of several cholesterol metabolism genes. Furthermore, GGT7 interacts with actin-dependent motor protein MYH10 to control low-density lipoprotein cholesterol (LDL-C) uptake into the cells. Genetic ablation of Ggt7 in mice leads to reduced serum cholesterol levels, supporting an in vivo role of Ggt7 during cholesterol homeostasis. CONCLUSIONS Our study not only provides a repertoire of lipid or cholesterol regulatory genes from multiple angles but also reveals a causal link between a gamma-glutamyltransferase and cholesterol metabolism.
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Affiliation(s)
- Haihuan Shan
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shuangshuang Fan
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Quanrun Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Ruipu Liang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zhisong Chen
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shengnan Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Xiaofeng Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yurong Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shuai Chen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, 110819, China
| | - Kun Yu
- College of Medicine and Bioinformation Engineering, Northeastern University, Shenyang, 110819, China
| | - Teng Fei
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China.
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China.
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China.
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Pan R, Li S, Wu B, Wang J, Lin S, Chen L, Wei D, Gao H. Association between the triglyceride glucose index and acute kidney injury following traumatic brain injury. Sci Rep 2025; 15:456. [PMID: 39753656 PMCID: PMC11698734 DOI: 10.1038/s41598-024-84690-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2024] [Accepted: 12/26/2024] [Indexed: 01/06/2025] Open
Abstract
Acute kidney injury (AKI) is associated with adverse hospitalization. Previous studies have reported that an elevated triglyceride glucose (TyG) index is significantly associated with the development of AKI in patients with cardiovascular disease, as well as in those undergoing surgery; however, the potential of the TyG index to predict AKI following neurotrauma remains unclear. Patients diagnosed with traumatic brain injury (TBI) in Chinese tertiary hospitals between January 2014 and December 2023 were included in this retrospective study. The outcome was the incidence of AKI. TyG was identified as an independent risk factor for AKI using logistic regression and propensity score matching (PSM). Finally, the association between TyG index and AKI was further assessed using multivariate logistic regression, restricted cubic spline (RCS) regression, and subgroup analysis. The present study enrolled 1,505 patients with TBI, of whom 66.45% were male, with an average age of 55.47 ± 17.32 years. The incidence of AKI was 9.4%. Multiple logistic regression analyses identified a relationship between the TyG levels and AKI risk. This relationship was retained after PSM. A significant positive correlation between TyG level and AKI was observed in all three models constructed using multivariate logistic regression. RCS regression analyses further indicated a linear increase in AKI risk with an increasing TyG index. In subgroup analyses, this correlation remained stable for the majority of the population but could be influenced by sex. TyG levels were positively correlated with the risk of AKI development in patients following TBI. As a predictive biomarker, the TyG index enables effective risk stratification and customization of management protocols to mitigate AKI in these patients, thus enhancing clinical outcomes.
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Affiliation(s)
- Rujun Pan
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China
| | - Shaojie Li
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Baofang Wu
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Jiayin Wang
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Shanglu Lin
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Longjie Chen
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - De Wei
- Department of Neurosurgery, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China.
- Department of Neurosurgery, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, China.
| | - Hongzhi Gao
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian, Medical University, Quanzhou, 362000, China.
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
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Xuan Y, He F, Liu Q, Dai D, Wu D, Shi Y, Yao Q. Elevated GGT to HDL ratio as a marker for the risk of NAFLD and liver fibrosis. Sci Rep 2025; 15:10. [PMID: 39748013 PMCID: PMC11695851 DOI: 10.1038/s41598-024-84649-w] [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: 11/11/2024] [Accepted: 12/25/2024] [Indexed: 01/04/2025] Open
Abstract
This study investigated the association between NAFLD and liver fibrosis and the ratio of gamma-glutamyl transferase to high-density lipoprotein cholesterol (GGT/HDL-C). In this cross-sectional study, we included 4764 subjects who participated in the National Health and Nutrition Examination Survey (NHANES) during 2017-2018. Adjusted multivariate logistic regression analysis was utilized to evaluate the relationships between GGT/HDL-C levels and NAFLD, fatty liver degree, and liver fibrosis. The non-linear link between NAFLD and the GGT/HDL-C ratio was examined using generalized additive models. There was a non-linear association between GGT/HDL-C and the risk of NAFLD, and all regression models demonstrated a strong relationship between GGT/HDL-C levels and the risk of liver fibrosis, the degree of hepatic steatosis, and the prevalence of NAFLD. Subgroup analyses revealed a significant correlation between the risk of NAFLD and the GGT/HDL-C ratio among Mexican Americans and young people in the 20-40 age range. The receiver operating characteristic (ROC) study showed that GGT/HDL-C was a more accurate predictor of NAFLD than GGT or HDL-C alone. In the U.S. population, an increased risk of NAFLD, the severity of hepatic steatosis, and the risk of liver fibrosis are independently correlated with an elevated GGT/HDL-C ratio.
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Affiliation(s)
- Yanyan Xuan
- Department of Hospital Infection, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Department of Geriatrics Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Fangfang He
- Department of Hospital Infection, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Qing Liu
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Dandan Dai
- Department of Pharmacy, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Dingting Wu
- Department of Clinical Nutrition, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yanmei Shi
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
| | - Qi Yao
- Department of Geriatrics Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
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Virgolici B, Dobre MZ, Lixandru D, Petcu L, Picu A, Ionescu-Târgovişte C, Greabu M, Bacanu EV. The importance of the enzyme Gamma-glutamyltransferase in the pathogenic cluster in type2 diabetic patient. ROMANIAN JOURNAL OF INTERNAL MEDICINE = REVUE ROUMAINE DE MEDECINE INTERNE 2024; 62:203-209. [PMID: 38377067 DOI: 10.2478/rjim-2024-0006] [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: 02/12/2024] [Indexed: 02/22/2024]
Abstract
Introduction. Gamma-glutamyltransferase (GGT) is a liver enzyme involved in inflammation and oxidative stress. It is already known that MCP-1 (Monocyte Chemoattractant Protein-1) and TNF-α (tumour necrosis factor) as inflammatory markers, ICAM-1 (Intercellular Adhesion Molecule-1) as an endothelial dysfunctional marker, and glutathione, as an antioxidant, have abnormal levels in type 2 diabetic patients. The aim of this study was to evaluate the specific biological picture of type 2 diabetic patients that also associate higher GGT activity. Methods. Eighty-five type 2 diabetes, aged 40-70 years with a duration of diabetes less than 6 years without infections, epilepsy, chronic liver or cardiac diseases, without alcohol consumption (>20 g/day) were divided in two subgroups, those with normal and those with high abnormal GGT. Results. The diabetic patients with high GGT (n=31) had dysglycaemia, dyslipidemia, higher inflammatory markers (CRP, TNF-α, MCP-1) and endothelial dysfunction (high leptin and sICAM). sICAM, serum MCP-1 and TNF-α levels had significant correlations with GGT activity (r= 0.38, r=0.30 and 0.26 respectively, p<0.05). Conclusion. This study underlines that in non-alcoholic diabetic patients, with a duration of the metabolic disease less than 6 years, sICAM, serum MCP-1 and TNF-α might play an important role in dysmetabolism, and higher level for GGT represents the "red flag" for this condition.
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Affiliation(s)
- Bogdana Virgolici
- 1"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | | | - Daniela Lixandru
- 1"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Laura Petcu
- 2National Institute of Diabetes, Nutrition and Metabolic Diseases, Bucharest, Romania
| | - Ariana Picu
- 2National Institute of Diabetes, Nutrition and Metabolic Diseases, Bucharest, Romania
| | | | - Maria Greabu
- 1"Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Elena Violeta Bacanu
- 2National Institute of Diabetes, Nutrition and Metabolic Diseases, Bucharest, Romania
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