Literature DB >> 22091220

Relationship between gamma-glutamyl transferase and glucose intolerance in first degree relatives of type 2 diabetics patients.

Sassan Haghighi1, Massoud Amini, Zahra Pournaghshband, Peyvand Amini, Silva Hovsepian.   

Abstract

BACKGROUND: Considering that serum gamma-glutamyl transferase (GGT) activity could reflect several different processes relevant to diabetes pathogenesis and the increasing rate of type 2 diabetes worldwide, the aim of this study was to assess the association between serum GGT concentrations and glucose intolerance, in the first-degree relatives (FDR) of type 2 diabetic patients.
METHODS: In this descriptive study, 30-80 years old, non diabetic FDRs of type 2 diabetic patients were studied. Serum GGT was measured by enzymatic photometry method in all studied population. The relationship between GGT and glucose intolerance status (normal, prediabetic and diabetics) was evaluated.
RESULTS: During this study 551 non-diabetic FDRs of type 2 diabetic patients were studied. Mean of GGT was 25.3 ± 12.1 IU/L. According to glucose tolerance test, 153 were normal and 217 and 181 were diabetic and prediabetic respectively. Mean of GGT in normal, prediabetic and diabetic patients was 23.5 ± 15.9 IU/L, 29.1 ± 28.1 IU/L and 30.9 ± 24.8 IU/L respectively (p = 0.000). The proportion of prediabetic and diabetic patients was higher in higher quartile of GGT and there was a significant correlation between GGT and BMI, HbA1c, FPG, cholesterol, LDL-C, and triglyceride (p < 0.05). There was a significant relation between GGT and area under the curve (AUC) of oral glucose tolerance test (p = 0.00).
CONCLUSIONS: Measurement of GGT in FDRs of type 2 diabetic patients may be useful in assessing the risk of diabetes; those with chronically high levels of GGT should be considered as high risk group for diabetes.

Entities:  

Keywords:  Diabetes Mellitus; Gamma-Glutamyltransferase; Glucose Intolerance; Type 2

Year:  2011        PMID: 22091220      PMCID: PMC3214292     

Source DB:  PubMed          Journal:  J Res Med Sci        ISSN: 1735-1995            Impact factor:   1.852


Serum gamma-glutamyl transferase (GGT) is an ectoplasmic enzyme responsible for the extracellular catabolism of glu-tathione, which is synthesized in epithelial cells of the intrahepatic duct. It distributed in different cells with various secretory or absorptive activities.1 GGT has an important role in glutathione homeostasis by initiating the breakdown of extracellular glutathione and turnover of vascular glutathione.2–4 Considering the antioxidant activity of glutathione, increased level of GGT may be linked to greater oxidative stress. Increased oxidative stress has be ß-cell dysfunction and reducing insulin action.56 Therefore, serum GGT activity could reflect several different processes relevant to diabetes pathogenesis. Many epidemiological studies, have demonstrated high rates of elevated GGT levels among diabetic patients over past 40 years.1 The association between serum GGT and poor glycemic state was also documented in the 1980s.7 Recent prospective studies, have indicated that baseline serum GGT activity predicts occurrence of future diabetes, stroke and cardiovascular diseases8–19 and within reference interval, it strongly predicted incident type 2 diabetes.1013–18 However, not all studies support this assumption.20 In a recent study, among general population, in Tehran, Tohidi et al have investigated the association of GGT with incident type 2 diabetes. According to their findings, GGT was not independently associated with diabetes, but after adjustments for family history, anthropometric factors and blood pressure, it had relationship with type 2 diabetes.21 Considering the increasing rate of type 2 diabetes worldwide, in all ages, sexes, and race/ethnic groups,22 we designed this study to investigate the association between serum GGT concentration and glucose intolerance, in the first-degree relatives (FDR) of type 2 diabetic patients. However, no studies have been performed to date on these populations.

Methods

In this cohort study, non diabetic first-degree relatives of type 2 diabetic patients who were 30-80 years old and referred to Endocrine and Metabolic Research Center during Diabetes Prevention Project (DPP) study were enrolled (1893 FDRs of type 2 diabetic patients). For recruiting samples, we asked first-degree relatives of type 2 diabetic patients aged 30-80 years old to participate in the study by announcing through mass media. Informed consent was obtained from all studied subjects. Characteristics of studied subjects (demographic, familial history, past medical history …) were obtained using standard questio naire. The exclusion criteria were having a history of thyroid, renal, or hepatic disease, known diabetes, myocardial infarction, acute or chronic inflammatory disease or taking any medications.

Physical Examinations

All studied subjects were examined by physicians. Anthropometric measurements were performed by trained nurses. Height and weight was measured in standing position, with light clothing and bare foot using Seca measuring device.

Laboratory Measurements

In order to perform oral glucose tolerance test (OGTT), participants recommended using unrestricted diet with more than 150 g of carbohydrate daily and doing usual physical activities at least 3 days before laboratory tests. They recommended to fasting at least 10 hours before lab tests and not using any drug that may affect the metabolism of carbohydrate. After an overnight fasting, a 75 g OGTT was performed. Plasma glucose was measured using an enzymatic glucose oxidase technique using Chem-Enzyme kit (Tehran-Iran). Plasma lipids including cholesterol, HDL-C and triglyceride (TG) were measured using enzymatic method by Liasys auto-analyzer (Italy). Gamma-glutamyl transferase (GGT) was analyzed by enzymatic photometry method using Pars-Azmoon kit (Tehran-Iran). Inter-assay coefficients of variations (CVs) were 1.25 for TG, 1.2 for cholesterol, 1.25% for glucose and 2.5% for GGT. The corresponding intra-assay CVs were 1.97, 1.6, 2.2 and 1.5 respectively. HbA1c was measured by ion exchange chromatography with DS5 set. LDL cholesterol was calculated using Friedwald formula.23 Glucose intolerance in studied subjects was classified as below based on 2003 ADA criteria.24 Diabetic: FPG > 125 mg/dl (6.9 mmol/l) or 2h-PG > 199 mg/dl (11 mmol/l) IFG: 100 mg/dl (5.6 mmol/l) ≤ FPG ≤ 125 mg/dl (6.9 mmol/l) and 2h-PG < 140 mg/dl (17.8 mmol/l) IGT: FPG ≤ 100 mg/dl (5.6 mmol/l) and 140 mg/dl (7.8 mmol/l) ≤ 2h-PG ≤ 199 mg/dl (11 mmol/l) Normal glucose tolerance (NGT): FPG < 100 mg/dl (5.6 mmol/l) and 2h-PG < 140 mg/dl (7.8 mmol/l) Patients with IFG and IGT considered as prediabetic.

Statistical Analysis

Statistical analysis was performed using SPSS software version 13. Log transformation was used in order to reduce skewness. Otherwise, for variables which were not normally distributed, median was presented. For all other variables with normal distribution, data were presented as mean ± SD. Mean and/or median of studied variables, between groups were compared using ANOVA, Kruskal-Wallis, Wilcoxon test (when appropriate) and Post hoc tests. P values < 0.05 were considered statistically significant. We analyzed serum GGT levels as quartiles: lees than 16.5 U/L, 16.5-21.9 U/L, 22-30.5 U/L, and more than 30.5 U/L. To compare the prognostic abilities of GGT on glucose tolerance, we plotted glucose intolerance status against the quartiles of GGT. Area under the receiver operating characteristic curve (AUC) of the logistic regression model was used to determine the cutoff of GGT as a predictive value for type 2 diabetes.

Results

551 non-diabetic first-degree relatives of type 2 diabetic patients aged 30-80 years old were studied. Baseline characteristics of all studied population are presented in table 1. Mean or median of studied variables in all studied population according to the GGT quartiles is presented in table 2.
Table 1

Baseline characteristics of first-degree relatives of type 2 diabetic patients (n = 551)

Table 2

Mean or median of studied variables in first-degree relatives of type 2 diabetic patients according to the gamma-glutamyl transferase quartiles (n = 551)

Baseline characteristics of first-degree relatives of type 2 diabetic patients (n = 551) Mean or median of studied variables in first-degree relatives of type 2 diabetic patients according to the gamma-glutamyl transferase quartiles (n = 551) From the studied population, 167 were men. Mean of GGT was 31.1 ± 13.2 and 22.7 ± 10.7 in men and women respectively (p < 0.001). According to the ADA criteria, 153 out of 551 participants were normal and 217 and 181 were diabetic and prediabetic, respectively. Mean of GGT in normal, prediabetic and diabetic patients was 23.5 ± 15.9, 29.1 ± 28.1 and 30.9 ± 24.8 respectively (p < 0.001). The proportion of normal, prediabetic and diabetic patients according to the quartiles of GGT is presented in figure 1.
Figure 1

The proportion (%) of normal, prediabetic and diabetic patients according to quartiles of gamma-glutamyl transferase (U/L) (p < 0.001)

The proportion (%) of normal, prediabetic and diabetic patients according to quartiles of gamma-glutamyl transferase (U/L) (p < 0.001) The relation between GGT and area under the curve (AUC) of oral glucose tolerance test is presented in figure 2.
Figure 2

The relation between gamma-glutamyl transferase and AUC

The relation between gamma-glutamyl transferase and AUC According to the results of GGT area under the receiver operating characteristic curve (AUC) of the logistic regression models, cutoff of GGT as a predictive value for type 2 diabetes was 14 U/L. There was a significant positive correlation between GGT and BMI, HbA1c, FPG, cholesterol, LDL-C, Triglyceride; but there was no relation with HDL-C. Age and sex were considered as control variables.

Discussion

Although the association between serum levels of GGT and type 2 diabetes risk has been documented in several previous studies, to the best of our knowledge, this study was the first report to investigate this relationship in the FDRs of diabetic patients. The findings of our study have demonstrated that there was similar association between GGT and glucose intolerance in FDRs of diabetic patients and there was a relation between serum GGT and risk for development of IFG or type 2 diabetes. A GGT level of 14 U/L considered as cutoff point for predicting diabetes in FDRs of diabetic patients. Mean of GGT in current study in all the studied population was 25.3 U/L; however, it was higher in prediabetic and diabetic FDRs. In a population based study in Tehran, To-hidi et al have reported that median of GGT in subjects who did and did not develop diabetes after 3.5 years of follow-up was 16.9 U/L and 21.3 U/L, respectively. Results of current study were in line with the study of Tohidi et al.21 Median of GGT in FDRs was similar to those subjects who developed diabetes after 3.5 years of follow-up in Tehran. This may be due to our studied population who were the first degree relatives of type 2 diabetes who are at higher risk for diabetes development. The mean of GGT in Iranian healthy volunteer blood donors men was reported to be 20.52 U/L by Khedmat et al.25 Mean of GGT in this study was higher in men than in women, which was similar to the Hisayama study.26 These different results may be due to different methods of GGT measurements or differences in studied population. However, we could not ignore the importance of genetic and environmental sources of variations in GGT.27 Several studies have demonstrated the association between serum GGT level and diabetes. Some of them have indicated that GGT is a more powerful predictor of incident diabetes than other liver enzymes.28 The results of these observations are different; our results are consistent with most2628–30 but not all2025 previous studies that evaluate the above mentioned association. In the study of Khedmat et al in Iran, the prevalence of diabetes and also the presence of diabetes family history were not different regarding GGT quartile. Whereas, Tohidi et al have indicated that GGT was not associated with incident of type 2 diabetes, independent of classic risk factors; however, it predicted diabetes after adjustment for family history of diabetic patients as well as some factors including, body mass index, waist circumference, waist to hip ratio, systolic blood pressure and diastolic blood pressure. It lost its association with diabetes after further adjustment for other metabolic factors such as FPG, 2 hour postprandial glucose, triglyceride and HDLC.21 Nakanishi et al investigated the association between serum GGT and risk of type 2 diabetes. The results of their investigation indicated that serum GGT may be an important predictor for developing type 2 diabetes mellitus and in accordance to our results, they concluded that the relative risk for impaired fasting glucose and type 2 diabetes increased as serum GGT increased.29 Recently, Sabanayagam et al have studied the association between serum GGT and diabetes mellitus in a nationally representative sample of US adults participating in the National Health and Nutrition Examination Survey (NHANES) (1999-2002), among 7,976 adults older than 20 years old; according to their results, serum GGT levels were found to be positively associated with diabetes mellitus.30 Kim et al in their study, in Korea, have shown that, the odds ratio of developing type 2 diabetes increased significantly with increasing GGT levels. In multiple logistic regression models adjusted for different variables, the highest quartile of GGT remained significantly associated with type 2 diabetes. They concluded that, increased serum GGT is independent and also additive risk factor for the development of diabetes in subjects without fatty liver or hepatic dysfunction.28 Doi et al in Japan, have studied the relationship between liver enzymes and the development of diabetes in a general Japanese population. Their findings suggest that serum GGT concentration consider as a strong predictor of diabetes in the general population, independent of other known risk factors.26 There was a significant correlation between studied variables in our study and GGT, especially in higher quartile of GGT. The findings were in line with the results of Kim et al study.28 The limitations of the current study are that, the study was a cross-sectional study which limits making causal inferences in the association between serum GGT and glucose intolerance. In addition, GGT data were based on a single measurement which consequently limits the precision of the elevated GGT estimates and finally it seems that our results would be more conclusive if the sample size was larger.

Conclusions

Taken together, in spite of these limitations, the findings of this study could have practical and clinical implications in management of FDRs of diabetic patient. Measurement of GGT in this population may be useful in assessing the risk of type 2 diabetes and FDRs with chronically high levels of GGT (> 14) should be considered as high risk group for diabetes.

Authors’ Contributions

All authors have contributed in designing of the study. ZP collected the data. SaH, SiH and PA did the analysis and interpretation and assisted in preparation of the manuscript. MA served as a supervisor. All authors have read and approved the content of the manuscript.
  29 in total

1.  A strong secular trend in serum gamma-glutamyltransferase from 1996 to 2003 among South Korean men.

Authors:  Duk-Hee Lee; Myung-Hwa Ha; Sin Kam; Byungyeol Chun; Jangkyu Lee; Kyungeun Song; Yongchool Boo; Lyn Steffen; David R Jacobs
Journal:  Am J Epidemiol       Date:  2005-11-17       Impact factor: 4.897

2.  Gamma-glutamyltransferase as a risk factor for cardiovascular disease mortality: an epidemiological investigation in a cohort of 163,944 Austrian adults.

Authors:  Elfriede Ruttmann; Larry J Brant; Hans Concin; Günter Diem; Kilian Rapp; Hanno Ulmer
Journal:  Circulation       Date:  2005-09-26       Impact factor: 29.690

3.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

4.  gamma-Glutamyltransferase, obesity, and the risk of type 2 diabetes: observational cohort study among 20,158 middle-aged men and women.

Authors:  Duk Hee Lee; Karri Silventoinen; David R Jacobs; Pekka Jousilahti; Jaakko Tuomileto
Journal:  J Clin Endocrinol Metab       Date:  2004-11       Impact factor: 5.958

5.  Two-hour glucose and insulin responses after a standardized oral glucose load in relation to serum gamma-glutamyl transferase and alcohol consumption.

Authors:  E Trell; H Kristenson; B Peterson; G Fex; N C Henningsen; K Berntorp; B Hood
Journal:  Acta Diabetol Lat       Date:  1981 Oct-Dec

6.  Serum gamma-glutamyltransferase and development of impaired fasting glucose or type 2 diabetes in middle-aged Japanese men.

Authors:  N Nakanishi; K Nishina; W Li; M Sato; K Suzuki; K Tatara
Journal:  J Intern Med       Date:  2003-09       Impact factor: 8.989

Review 7.  Is serum gamma glutamyltransferase a marker of oxidative stress?

Authors:  Duk-Hee Lee; Rune Blomhoff; David R Jacobs
Journal:  Free Radic Res       Date:  2004-06

8.  Serum gamma-glutamyl transferase level in predicting hypertension among male drinkers.

Authors:  K Miura; H Nakagawa; H Nakamura; M Tabata; H Nagase; M Yoshida; S Kawano
Journal:  J Hum Hypertens       Date:  1994-06       Impact factor: 3.012

Review 9.  Are oxidative stress-activated signaling pathways mediators of insulin resistance and beta-cell dysfunction?

Authors:  Joseph L Evans; Ira D Goldfine; Betty A Maddux; Gerold M Grodsky
Journal:  Diabetes       Date:  2003-01       Impact factor: 9.461

Review 10.  gamma-Glutamyl transpeptidase. What does the organization and expression of a multipromoter gene tell us about its functions?

Authors:  M W Lieberman; R Barrios; B Z Carter; G M Habib; R M Lebovitz; S Rajagopalan; A R Sepulveda; Z Z Shi; D F Wan
Journal:  Am J Pathol       Date:  1995-11       Impact factor: 4.307

View more
  4 in total

1.  Disease risk factors identified through shared genetic architecture and electronic medical records.

Authors:  Li Li; David J Ruau; Chirag J Patel; Susan C Weber; Rong Chen; Nicholas P Tatonetti; Joel T Dudley; Atul J Butte
Journal:  Sci Transl Med       Date:  2014-04-30       Impact factor: 17.956

2.  Gamma glutamyl transferase activity: relationship with thoracic aortic intima media thickness and inflammation.

Authors:  M Caylı; M Gür; G Y Kalkan; Z Elbasan; D Y Sahin; N Y Koyunsever; C Türkoğlu; T Seker; O Kaypaklı; H Harbalıoğlu; H Uçar
Journal:  Herz       Date:  2013-08-11       Impact factor: 1.443

3.  Tobacco Smoke and CYP1A2 Activity in a US Population with Normal Liver Enzyme Levels.

Authors:  Alexis Garduno; Tianying Wu
Journal:  Int J Environ Res Public Health       Date:  2021-02-24       Impact factor: 3.390

4.  Impact of Metabolic Surgery on Gut Microbiota and Sera Metabolomic Patterns among Patients with Diabetes.

Authors:  Hsien-Hao Huang; Tzu-Lung Lin; Wei-Jei Lee; Shu-Chun Chen; Wei-Fan Lai; Chia-Chen Lu; Hsin-Chih Lai; Chih-Yen Chen
Journal:  Int J Mol Sci       Date:  2022-07-14       Impact factor: 6.208

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.