Relation of Gamma-glutamyltransferase and alcohol drinking with incident diabetes: the HIPOP-OHP study

Genetic Risk, Healthy Lifestyle Adherence, and Risk of Developing Diabetes in the Japanese Population

AIM

This study examined the relationship between genetic risk, healthy lifestyle, and risk of developing diabetes.

METHODS

This prospective cohort study included 11,014 diabetes-free individuals ≥ 20 years old from the Tohoku Medical Megabank Community-based cohort study. Lifestyle scores, including the body mass index, smoking, physical activity, and gamma-glutamyl transferase (marker of alcohol consumption), were assigned, and participants were categorized into ideal, intermediate, and poor lifestyles. A polygenic risk score (PRS) was constructed based on the type 2 diabetes loci from the BioBank Japan study. A multiple logistic regression model was used to estimate the association between genetic risk, healthy lifestyle, and diabetes incidence and to calculate the area under the receiver operating characteristic curve (AUROC).

RESULT

Of the 11,014 adults included (67.8% women; mean age [standard deviation], 59.1 [11.3] years old), 297 (2.7%) developed diabetes during a mean 4.3 (0.8) years of follow-up. Genetic and lifestyle score is independently associated with the development of diabetes. Compared with the low genetic risk and ideal lifestyle groups, the odds ratio was 3.31 for the low genetic risk and poor lifestyle group. When the PRS was integrated into a model including the lifestyle and family history, the AUROC significantly improved to 0.719 (95% confidence interval [95% CI]: 0.692-0.747) compared to a model including only the lifestyle and family history (0.703 [95% CI, 0.674-0.732]).

CONCLUSION

Our findings indicate that adherence to a healthy lifestyle is important for preventing diabetes, regardless of genetic risk. In addition, genetic risk might provide information beyond lifestyle and family history to stratify individuals at high risk of developing diabetes.

Influence of Diabetes Family History on the Associations of Combined Genetic and Lifestyle Risks with Diabetes in the Tohoku Medical Megabank Community-Based Cohort Study

AIM

The influence of family history of diabetes, probably reflecting genetic and lifestyle factors, on the association of combined genetic and lifestyle risks with diabetes is unknown. We examined these associations.

METHODS

This cross-sectional study included 9,681 participants in the Tohoku Medical Megabank Community-based Cohort Study. A lifestyle score, which was categorized into ideal, intermediate, and poor lifestyles, was given. Family history was obtained through a self-reported questionnaire. A polygenic risk score (PRS) was constructed in the target data (n=1,936) using publicly available genome-wide association study summary statistics from BioBank Japan. For test data (n=7,745), we evaluated PRS performance and examined the associations of combined family history and genetic and lifestyle risks with diabetes. Diabetes was defined as non-fasting blood glucose ≥ 200 mmHg, HbA1c ≥ 6.5%, and/or self-reported diabetes treatment.

RESULTS

In test data, 467 (6.0%) participants had diabetes. Compared with a low genetic risk and an ideal lifestyle without a family history, the odds ratio (OR) was 3.73 (95% confidence interval [CI], 1.92-7.00) for a lower genetic risk and a poor lifestyle without a family history. Family history was significantly associated with diabetes (OR, 3.58 [95% CI, 1.73-6.98]), even in those with a low genetic risk and an ideal lifestyle. Even among participants who had an ideal lifestyle without a family history, a high genetic risk was associated with diabetes (OR, 2.49 [95% CI, 1.65-3.85]). Adding PRS to family history and conventional lifestyle risk factors improved the prediction ability for diabetes.

CONCLUSIONS

Our findings support the notion that a healthy lifestyle is important to prevent diabetes regardless of genetic risk.

Low aspartate aminotransferase/alanine aminotransferase ratio is a predictor of diabetes incidence in Japanese people: Population-based Panasonic cohort study 5

AIMS

The aim of this study was to calculate the cut-off values of liver enzymes to identify the risk of incident type 2 diabetes (DM) and to investigate the association between liver enzymes and incident DM in participants with or without obesity.

MATERIALS AND METHODS

The long-term cohort study included 70,688 subjects who underwent medical health checkups in 2008. The cut-off values of alanine aminotransferase (ALT) and the aminotransferase (AST)/ALT ratio for incident DM were evaluated using the time-dependent receiver operating characteristic curves. The risk of incident type 2 DM was examined according to cut-off values of liver enzymes and the group with body mass index (BMI) ≥25 kg/m² using Cox regression analyses.

RESULTS

In total, 4181 of 70,688 subjects developed DM within 10 years. The area under the curve and cut-off values for the ALT and the AST/ALT ratio for incident type 2 DM at 10 years were 0.707 and 23 IU/L and 0.694 and 0.875, respectively. The risk of incident DM was higher in subjects with ALT ≥23 or AST/ALT ≤0.875 and BMI <25 kg/m² than in those with ALT <23 IU/L or AST/ALT >0.875 and BMI ≥25 kg/m² , respectively.

CONCLUSIONS

The cut-off values of ALT and the AST/ALT ratio associated with the risk of incident type 2 DM were determined. Non-obese individuals with AST/ALT ≤0.875 had a higher risk of incident type 2 DM than obese individuals with AST/ALT >0.875.

Gamma-Glutamyltransferase Activity (GGT) Is a Long-Sought Biomarker of Redox Status in Blood Circulation: A Retrospective Clinical Study of 44 Types of Human Diseases

Background and Aim. Redox equilibria are critical for life, but the biomarkers of redox status are currently unavailable. Gamma-glutamyltransferase (GGT) is an essential factor for modulating redox equilibrium through glutathione. In clinical practice, increased circulating GGT activity is used as a hepatobiliary disease biomarker. However, increased circulating GGT activities have also been observed in cancers, heart disease, diabetes, hyperuricemia, inflammation, renal insufficiency, and other diseases, explained by its role in maintaining redox equilibrium inside and outside cells. Previous studies on GGT were mainly limited to one type of disease at one time. In the current study, we systematically compared the GGT levels in 44 different human diseases to test if it could serve as a redox status biomarker in blood circulation. Methods. The clinical GGT data from 168,858 patients with 44 diseases and 132,357 healthy control in the clinical laboratory of our hospital over the past five years were retrieved. All data were analyzed with SPSS, RStudio V.1.3.1073, and python libraries 3.8. Results. Thirty-eight out of 44 diseases had significantly increased ( $p<0.001$ ) circulating GGT activities, whereas gastric cancer, anemia, renal cyst, cervical cancer, preeclampsia, and knee-joint degenerative diseases had significantly decreased ( $p<0.001$ ) GGT activities compared to the healthy control. ROC analyses showed that GGT was an excellent biomarker for liver cancer ( $\text{AUC}=0.86$ ), pancreatitis ( $\text{AUC}=0.84$ ), or hepatic encephalopathy ( $\text{AUC}=0.80$ ). All pancreas-related diseases had more than 8-fold increases in GGT activity span than the healthy control, while pancreatic cancer had a 12-fold increase (1021 U/L vs. 82 U/L). The knee-joint degenerative disease had the lowest median and narrowest GGT activity range (63 U/L). Furthermore, most diseases’ lowest to highest GGT activities were beyond the healthy control in both directions. Conclusions. Thirty-eight out of 44 diseases were in overall oxidative states defined by the increased GGT median values. In contrast, knee-joint degenerative disease, gastric cancer, anemia, renal cyst, cervical cancer, and preeclampsia were in overall antioxidative states. Moreover, most diseases swing between oxidative and antioxidative states, evidenced by the increased lowest to highest GGT activity ranges than the healthy control. Liver- and pancreas-related abnormalities were responsible for significantly increased GGT activities. Our overall results suggested that circulating GGT was a redox status biomarker.

The association of liver enzymes with diabetes mellitus risk in different obesity subgroups: A population-based study

BACKGROUND

Numerous observational studies have shown that liver enzymes correlated with diabetes mellitus (DM) risk significantly, but limited studies showed whether different obesity subgroups present the same correlation. Our objective was to evaluate the association of liver enzymes with DM risk in different obesity subgroups based on a middle-aged Chinese population.

METHODS

We conducted a population-based cross-sectional study and surveyed 9,916 people aged 40 years and above. A two-slope linear regression model was used to analyze the cutoff points of obesity in DM risk. Restricted cubic splines were used to analyze the correlation between liver enzymes and DM risk in different obesity categories. The odds ratios and 95% confidence intervals (CIs) were calculated using the logistic regression model.

RESULTS

The cutoff points of body mass index (BMI) and waist circumference were 30.55 kg/m² and 98.99 cm for DM risk, respectively. The serum gamma-glutamyl transferase (GGT) concentration was positively correlated with DM risk in the subgroups with waist circumference <98.99 cm [OR = 1.04, 95% CI (1.03-1.05)], BMI <30.55 kg/m² [OR = 1.04, 95% CI (1.03-1.05)], and BMI ≥30.55 kg/m² [OR = 1.18, 95% CI (1.04-1.39)], but not in the subgroup with waist circumference ≥98.99 cm. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) concentrations have no significant correlation with the risk of diabetes in all groups.

CONCLUSION

The results showed that serum GGT concentration was correlated with DM risk but not with AST or ALT in the middle-aged population. However, the correlation disappeared when waist circumference was over 98.99 cm, and serum GGT concentration had a limited value for DM risk in waist circumference over 98.99 cm.

Combined associations of liver enzymes and obesity with diabetes mellitus prevalence: The Tohoku Medical Megabank Community-based Cohort Study

BACKGROUND

Alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) are enzymes associated with diabetes mellitus (DM) prevalence. However, limited information is available regarding the association of liver enzymes and DM consistently present in obese and non-obese individuals. We examined whether the combination of ALT and GGT enzymes is associated with the prevalence of DM regardless of obesity in a general Japanese population.

METHODS

We conducted a cross-sectional study of 62,786 participants aged ≥20 years who lived in Miyagi and Iwate, Japan. We divided all the participants into eight groups according to the ALT level (low: <30 IU/L and high: ≥30 IU/L), GGT level (low: <50 IU/L and high: ≥50 IU/L), and the presence of obesity. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression analysis, adjusting for potential confounders, to determine associations of the combination of ALT and GGT levels and obesity with DM prevalence.

RESULTS

Overall, 6,008 participants (9.6%) had DM. Compared to non-obese individuals with low ALT and GGT levels, the participants with high ALT and GGT levels had high ORs for DM in both obese (OR 4.06; 95% CI, 3.61-4.56) and non-obese groups (OR 2.19; 95% CI, 1.89-2.52). The obese group had high ORs for DM, even at low ALT and GGT levels.

CONCLUSION

High ALT and GGT levels are associated with DM prevalence in obese and non-obese participants. This finding suggests that correcting ALT and GGT levels and controlling obesity are important for the prevention of DM.

Fatty liver index and risk of diabetes incidence: A systematic review and dose-response meta-analysis of cohort studies

AIMS

Fatty Liver Index (FLI) is a surrogate index for diagnosis of Fatty Liver Disease (FLD). We performed a dose-response meta-analysis to investigate the relationship between FLI and diabetes incidence in prospective cohort studies.

METHODS

We conducted a systematic search of articles up to November 2019 in PubMed, SCOPUS, Cochrane library, and Embase. Hazard Ratios (HRs) with corresponding 95% confidence intervals (CIs) of studies were pooled using meta-analysis with DerSimonian and Laird random-effects models to find combined HRs. Dose-response effect of this relationship was also assessed.

RESULTS

Twenty-seven studies providing 70,918 participants were included in the meta-analysis. Pooled results showed that the highest category of FLI was associated with an increased incidence of diabetes [HR: 2.88, 95% CI: 2.18-3.81; P for heterogeneity: 0.001]. Subgroup analysis based on sex, continent, and the quality of study could not explain the source of heterogeneity. The pooled HR from the random-effects dose-response model indicated a significant association between FLI level and risk of diabetes incidence (Coef=0.0239, p=0.001).

CONCLUSION

Our dose-response meta-analysis revealed a direct relationship between FLI and HR of diabetes incidence.

Alcohol consumption and incident diabetes: The Atherosclerosis Risk in Communities (ARIC) study

AIMS/HYPOTHESIS

The aim of this study was to evaluate the prospective association between baseline and 9 year change in alcohol consumption and long-term risk of diabetes and whether these associations might be modified by sex and/or BMI.

METHODS

We conducted a prospective analysis of 12,042 Atherosclerosis Risk in Communities (ARIC) study participants without prevalent diabetes (55% women, 78% white, mean age 54 years). Alcohol consumption was assessed at visit 1 (1987-1989) and visit 4 (1996-1998). We used Cox models to estimate hazard ratios for diabetes risk by baseline drinking categories and change in alcohol consumption, stratified by sex and obesity status.

RESULTS

During a median follow-up of 21 years, there were 3795 incident cases of diabetes. Among women, consuming 8-14 drinks/week was associated with a significantly lower risk of diabetes (HR 0.75, 95% CI 0.58, 0.96) compared with current drinkers consuming ≤1 drink/week. Among men, consuming 8-14 drinks/week was associated with a borderline significant lower risk of diabetes (HR 0.84, 95% CI 0.70, 1.00) and consuming >14 drinks/week was associated with a significantly lower risk of diabetes (HR 0.81, 95% CI 0.67, 0.97) (pinteraction < 0.01 for sex). For both sexes, among current drinkers, there was a significant decreasing trend in diabetes risk as the alcohol consumption increased. The association was modified by BMI (pinteraction = 0.042 for women, pinteraction < 0.001 for men). In women, the inverse association was only seen among overweight and obese participants. In men, the inverse association was more pronounced among obese participants. On average, drinking status did not change substantially over the 9 year period. For men with alcohol intake ≥7 drinks/week at baseline, decreasing alcohol intake was associated with higher risk of diabetes (HR per daily drink decrease 1.12, 95% CI 1.02, 1.23).

CONCLUSIONS/INTERPRETATION

In this community-based population, there was an inverse association between alcohol consumption and diabetes risk. The amount of the alcohol consumption associated with lower risk was different in women and men, and the association was more pronounced among participants with higher BMI.

Serum lactate levels are associated with serum alanine aminotransferase and total bilirubin levels in patients with type 2 diabetes mellitus: A cross-sectional study

AIMS

It was recently reported that lactate acts as a metabolic mediator and rises in the diabetic state, but the physiological effects are as yet poorly understood. The objective of the current study was to evaluate the significance of serum lactate elevation in type 2 diabetes mellitus (T2DM) patients.

METHODS

Fasting serum lactate levels, hematological and inflammatory serum markers and anthropometric parameters, obtained employing bioelectric impedance analysis, were measured in 103 patients with T2DM.

RESULTS

Statistically significant correlations of serum lactate levels with C-reactive peptide, insulin, aspartate aminotransferase, alanine aminotransferase (ALT), serum lipids, total bilirubin, adiponectin, homeostasis model assessment-insulin resistance, body weight, body mass index and body fat (weight or percentage of subcutaneous fat, visceral fat or total body fat), but neither fasting plasma glucose nor HbA1c, were detected. Stepwise regression analysis showed ALT to be independently positively associated with total bilirubin, while being negatively associated with serum lactate levels. Furthermore, serum lactate levels were significantly higher in patients with ALT-predominant liver dysfunction.

CONCLUSION

We found fasting serum lactate elevation in T2DM patients to be associated with the serum levels of ALT and total bilirubin independently of blood glucose control.

TRIAL REGISTRATION

UMIN clinical trials registry (UMIN000029178).

An association between serum γ-glutamyltransferase and proteinuria in drinkers and non-drinkers: a Japanese nationwide cross-sectional survey

BACKGROUND

The association between alcohol consumption and chronic kidney disease (CKD), characterized by reduced glomerular filtration rate and proteinuria, is controversial. Recent studies suggest that serum γ-glutamyltransferase (GGT) level, a conventional marker of excessive alcohol consumption, predicts the CKD incidence. Little information is available on the difference in the clinical impact of alcohol consumption and GGT on proteinuria.

METHODS

The present cross-sectional survey included 332,296 Japanese people aged ≥40 years in 2008. To examine the associations of GGT and alcohol consumption with proteinuria, 134,600 men and 197,696 women were classified into 20 categories based on GGT quartiles and alcohol consumption categories, and their prevalence rate ratios (PRR) of proteinuria defined as ≥1+ of dipstick urinary protein were calculated after adjusting for clinically relevant factors.

RESULTS

Prevalence of proteinuria was 7.5 and 3.7 % in men and women, respectively. In both gender an association between alcohol consumption and proteinuria was in a J-shaped fashion with the lowest PRR of mild drinkers with ≤19 g/day of ethanol consumption, whereas an association between serum GGT level and proteinuria was linear. Compared with rare drinkers in the lowest GGT quartile, the subjects in higher GGT quartiles had a higher probability of proteinuria, irrespective of alcohol consumption. An optimal cutoff level of serum GGT was 43.6 and 23.2 IU/L in men and women, respectively.

CONCLUSIONS

The subjects with higher serum GGT level had a higher probability of proteinuria, regardless of alcohol consumption, suggesting that GGT has a clinically greater impact on CKD than alcohol consumption.