Dose-Response Relationship between Alanine Aminotransferase Levels within the Reference Interval and Metabolic Syndrome in Chinese Adults

Changing Trajectories of Alanine Aminotransferase and Risk of Antituberculosis Drug-Induced Liver Injury in Chinese Patients: A Cohort Study

Antituberculosis drug-induced liver injury (ATLI) is a major adverse effect during antituberculosis treatment. Early detection or prediction is essential to prevent ATLI in antituberculosis treatment patients. The purpose of this work is to explore the relationship between alanine aminotransferase (ALT) trajectories within 15 days of initial treatment and the risk of ATLI. Based on a historical cohort of patients hospitalized for antituberculosis treatment and group-based trajectory modeling analysis, ALT trajectories within 15 days of initial treatment were determined. Conditional logistic regression model was used to estimate the association between different ALT trajectories and the risk of ATLI, and the corresponding odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated with covariates. Based on the ALT levels within 15 days of initial treatment, a total of 853 patients were divided into four ALT trajectories. The incidence of ATLI significantly increased with the increase of ALT trajectories (2.33%, 4.38%, 5.90%, and 2.44%, respectively). Compared with trajectory 1, the adjusted OR for ATLI in trajectory 2, trajectory 3, and trajectory 4 were 2.448 (95% CI: 0.302-19.856, P = 0.402), 5.373 (95% CI: 0.636-45.411, P = 0.123), 11.010 (95% CI: 0.720-168.330, P = 0.085), respectively, and there was an increasing trend of ATLI risk (Ptrend = 0.015). Different ALT trajectories within 15 days of initial treatment were associated with different risk of ATLI, and it is necessary to pay attention to the ALT trajectory within 15 days of initial treatment to predict the occurrence of ATLI.

The Association between Metabolic Syndrome and Elevated Alanine Aminotransferase Levels in an Indigenous Population in Northern Taiwan: A Community-Based and Cross-Sectional Study

Our study aims to determine the prevalence of metabolic syndrome (MetS) among the Northern Taiwanese indigenous population and to explore the relationship between MetS and liver enzyme, especially serum alanine transaminase (ALT). This is an observational and cross-sectional study that was conducted in remote villages of an indigenous community in Northern Taiwan between 2010 and 2015. MetS was defined based on the revised NCEP/ATPIII criteria from Taiwan Health Promotion Administration. A total of 454 participants were included in the analysis. There were 277 people with MetS and 177 people without. The prevalence of MetS was 61.01%. The average age was 49.50 years. People with MetS had a significantly higher liver enzyme (ALT) level than those without MetS. In addition, the study showed that participants with higher ALT had a tendency towards a higher prevalence of MetS (76.7% vs. 57.3%, p = 0.001). The adjusted odds ratio (OR) of ALT levels >36 U/L for MetS was 2.79 (95% CI = 1.24–6.27, p = 0.01). The area under the ROC curve (AUC) of the ALT level was 0.63 (95% CI = 0.58–0.68, p < 0.001), which showed that the ALT level was positively associated with MetS. The overall prevalence of MetS was 61.01% in the highland indigenous population in Northern Taiwan; this study indicated that higher serum ALT levels were associated with an increased risk of MetS.

Relationship of visceral adipose tissue with surrogate insulin resistance and liver markers in individuals with metabolic syndrome chronic complications

BACKGROUND

Visceral adipose tissue (VAT) has a hazardous influence on systemic inflammation, insulin resistance and an adverse metabolic profile, which increases the risk of developing non-alcoholic fatty liver disease (NAFLD) and chronic complications of diabetes. In our study we aimed to evaluate the association of VAT and the triglyceride glucose (TyG) as a proxy of insulin resistance surrogated with metabolic and liver risk factors among subjects diagnosed with metabolic syndrome (MetS).

METHODS

A cross-sectional study was performed including 326 participants with MetS (55-75 years) from the PREDIMED-Plus study. Liver-status markers, VAT and TyG were assessed. Participants were stratified by tertiles according to VAT (n = 254) and TyG (n = 326). A receiver operating characteristic curve was used to analyse the efficiency of TyG for VAT.

RESULTS

Subjects with greater visceral fat depots showed worse lipid profile, higher homeostatic model assessment for insulin resistance (HOMA-IR), TyG, alanine transaminase (ALT), fibroblast growth factor-21 (FGF-21), fatty liver index (FLI) and hepatic steatosis index (HSI) compared with participants in the first tertile. The multi-adjusted linear-regression analyses indicated that individuals in the third tertile of TyG (>9.1-10.7) had a positive association with HOMA-IR [β = 3.07 (95% confidence interval (CI) 2.28-3.86; p trend < 0.001)], ALT [β = 7.43 (95% CI 2.23-12.63; p trend = 0.005)], gamma glutamyl transferase (GGT) [β = 14.12 (95% CI 3.64-24.61; p trend = 0.008)], FGF-21 [β = 190.69 (95% CI 93.13-288.25; p trend < 0.001)], FLI [β = 18.65 (95% CI 14.97-22.23; p trend < 0.001)] and HSI [β = 3.46 (95% CI, 2.23-4.68; p trend < 0.001)] versus participants from the first tertile. Interestingly, the TyG showed the largest area under the receiver operating curve (AUC) for women (AUC = 0.713; 95% CI 0.62-0.79) compared with men (AUC = 0.570; 95% CI 0.48-0.66).

CONCLUSIONS

A disrupted VAT enlargement and impairment of TyG are strongly associated with liver status and cardiometabolic risk factors linked with NAFLD in individuals diagnosed with MetS. Moreover, the TyG could be used as a suitable and reliable marker estimator of VAT.

Upper Normal Limit of Serum Alanine Aminotransferase and Its Association with Metabolic Risk Factors in Pars Cohort Study

BACKGROUND

The range of serum alanine aminotransferase (ALT) varies in different sub-populations or countries. Its population-specific cut-off points may provide a more effective screening tool for non-alcoholic fatty liver disease (NAFLD). Objectives To investigate the upper normal level (UNL) of ALT and its association with metabolic syndrome (MS) in a semi-urban population in southern Iran.

METHODS

The baseline data of Pars Cohort Study was used. A total of 9264 subjects aged 40-75 years were enrolled. UNL of ALT was estimated based on 95 percentile of ALT in participants who had body mass index (BMI) < 25. Multivariable logistic regression was applied and adjusted odds ratio (OR) and its 95% confidence interval (CI) were estimated.

RESULTS

95 percentile of ALT was 41.71 U/L and 32.9 U/L in men and women, respectively. Abnormal waist circumference (OR: 1.72, 95%CI: 1.34, 2.21), triglyceride (OR: 1.63, 95%CI: 1.25, 2.13), fasting blood sugar (OR: 1.69, 95%CI: 1.32, 2.16), cholesterol level (OR: 1.06, 95%CI: 1.03, 1.09) and systolic blood pressure (OR: 1.08, 95%CI: 1.01, 1.16) were independently associated with ALT.

CONCLUSION

UNL of ALT in southern Iranian women is lower than the current recommended level, while these are almost the same for men. MS components are highly common in southern Iran and are associated with elevated serum ALT. Further studies are recommended to estimate the UNL of serum ALT among the Iranian population with NAFLD.

Association of the novel susceptible locus rs9266150 with clinical features of psoriasis vulgaris in the Chinese Han population

Psoriasis is a chronic multifactorial disease and is considered to be strongly associated with the major histocompatibility complex (MHC) region. We have discovered an independent, novel and susceptible psoriasis risk HLA loci, rs9266150; P = 4.52 × 10^-9 for the first time. In this study, we aimed to verify the relationship between the susceptible locus and the subphenotypes of psoriasis vulgaris (PV), including geographic location, gender, age of onset, family history and present skin lesion types (chronic plaque and guttate). To investigate the distribution and association of the rs9266150 gene with clinical phenotypes of PV in Chinese Han population, we conducted an analysis in case-control and case-only subjects in the 9906 controls and 8744 cases by MHC targeted sequencing stratified analysis in this study. Significant associations were found with a northern geographic location in the case-only (P = 1.97 × 10^-4 ) and the subphenotype-control analyses (P = 5.57 × 10^-5 ), males in the case-only (P = 4.77 × 10^-3 ) and the subphenotype-control analyses (P = 7.31 × 10^-4 ), and guttate psoriasis in the case-only (P = 4.08 × 10^-3 ) and the subphenotype-control analyses (P = 1.27 × 10^-3 ). There were no significant differences observed between the age of onset (OR = 1.062, 95% CI: 0.9725-1.16, P = 1.8 × 10^-1 ) and the family history of psoriasis (OR = 0.981, 95% CI: 0.9048-1.064, P = 6.43 × 10^-1 ). The recessive model provided the best fit for rs9266150 (P = 4.38 × 10^-7 ). Our results implied that rs9266150 might not only play an important role in the development of psoriasis, but also be positively associated with the geographic location, gender and present skin lesion in the Chinese population.

Independent effect of alanine transaminase on the incidence of type 2 diabetes mellitus, stratified by age and gender: A secondary analysis based on a large cohort study in China

BACKGROUND

Previous studies have revealed that alanine aminotransferase (ALT) may be one of the risk factors of developing diabetes. We aimed to demonstrate the independent effect of ALT on incident diabetes and to investigate whether the association between ALT and incident diabetes is modified by age and gender in the general Chinese population.

METHODS

The present study was a retrospective cohort study, including 210,051 Chinese adult participants. The primary outcome was developing diabetes. The serum ALT activities were stratified by quintiles. We obtained data from 'DATADRYAD' website and used the data for secondary analysis.

RESULTS

At a median follow-up of 3.0 y, 4144 of 210,051 (1.97%) participants developed diabetes. After adjustment for potential confounders, a significantly higher risk of the incident diabetes (HR: 1.43, 95% CI: 1.25-1.63) was found in participants in the fifth quintile (Q5, ≥31 U/L) compared to those in the first to fourth quintiles (Q1-4) for ALT activities. Among males aged 30 to 40 and 40 to 50 y with the fifth quintile of ALT activity had 2.4- and 1.5-fold increased odds of developing diabetes, respectively, in comparison with those in the lower ALT activities. Among females with age 30 to 40 and ≥ 70 y, the fifth quintile of ALT activity had 4.9- and 2.2-fold increased odds for incident diabetes.

CONCLUSION

Our result indicated that the ALT activity was positively associated with the incident diabetes among Chinese persons. Moreover, 30-40 y individuals, whether male or female, with elevated ALT activities had the greatest increased risk for diabetes compared with persons with lower ALT activities in the same age group.

Aminotransferase levels, body mass index, and the risk of diabetes: a prospective cohort study

PURPOSE

To investigate whether the relationship between body mass index (BMI) and incident diabetes is modified by different alanine or aspartate aminotransferases (ALT or AST) levels.

METHODS

We carried out an analysis of 6484 participants aged 40 years or older using data from the Korean Genome Epidemiology Study. The serum aminotransferase levels were stratified into low and high groups according to the median values and classified into three groups: both low, either high, and both high. To assess the association between BMI and incident diabetes according to the serum aminotransferase levels, multiple logistic regression models were used.

RESULTS

In participants with high levels of both ALT and AST, compared with the first BMI quartile, the adjusted odds ratios for incident diabetes of the second, third, and fourth BMI quartiles were 1.72 (95% confidence interval, 0.84-3.55), 2.19 (1.11-4.33), and 3.08 (1.60-5.90), respectively (P trend < .001). In participants with either high ALT or AST, the adjusted odds ratios were 3.58 (1.23-10.41), 2.65 (0.90-7.76), and 5.28 (1.86-15.02), respectively (P trend = .005). However, in participants with both low ALT and AST levels, high BMI was not independently associated with the risk of incident diabetes.

CONCLUSIONS

There was a strong association between BMI and incident diabetes among individuals with high aminotransferase levels, whereas no association was observed among those with low aminotransferase levels.

Validation of surrogate markers for metabolic syndrome and cardiometabolic risk factor clustering in children and adolescents: A nationwide population-based study

Prevalence of metabolic syndrome (MetS) in children is increasing and identifying the risk factors for MetS during childhood is an important first step to prevent chronic diseases later in life. The aim of the present study was to evaluate the prevalence of MetS and cardiometabolic risk factor (CMRF) clustering among Korean children and adolescents and to validate the associated anthropometric and laboratory surrogate markers. We used data from the 2011–2014 Korean National Health and Nutrition Examination Survey. In total, data for 2,935 subjects (1539 boys, 52.6%) aged 10–19 years were assessed. MetS was defined by central obesity plus any two or more of CMRFs such as abdominal obesity, hypertension, hyperglycemia, hypertriglyceridemia, and decreased high density lipoprotein cholesterol (HDL-C) using the International Diabetes Federation criteria for children and adolescents. The presence of two or more CMRFs was classified as CMRF clustering. The prevalence of MetS and CMRF clustering in this group was found to be 1.8% and 8.9%, respectively. The receiver operating characteristic analysis of MetS and CMRF clustering, and the area under the curve (95% confidence interval) of surrogate markers revealed that the waist circumference to height ratio [0.960 (95% CI 0.959–0.960), cut-off 0.491] showed the highest predictability for MetS whereas triglyceride to HDL-C ratio [0.891 (95% CI 0.891–0.892), cut-off 2.63] showed the highest predictability for CMRF clustering. Long-term follow-up is needed for further validation.