Serum SHBG Is Associated With the Development and Regression of Nonalcoholic Fatty Liver Disease: A Prospective Study

2019 ◽  
Vol 105 (3) ◽  
pp. e791-e804
Author(s):  
Xu Wang ◽  
Jiewen Xie ◽  
Juan Pang ◽  
Hanyue Zhang ◽  
Xu Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Prediction Models ◽  
Stepwise Logistic Regression ◽  
Stepwise Logistic Regression Analysis ◽  
Nonalcoholic Fatty Liver ◽  
Potential Biomarker

Abstract Context SHBG, a homodimeric glycoprotein produced by hepatocytes has been shown to be associated with metabolic disorders. Whether circulating SHBG levels are predictive of later risk of nonalcoholic fatty liver disease (NAFLD) remains unknown. In this study, we prospectively investigated the association between SHBG and NAFLD progression through a community-based cohort comprising 3389 Chinese adults. Methods NAFLD was diagnosed using abdominal ultrasonography. Serum SHBG levels were measured by chemiluminescent enzyme immunometric assay, and their relationship with NAFLD development and regression was investigated after a mean follow-up of 3.09 years using multivariable logistic regression. Results Basal SHBG was negatively associated with NAFLD development, with a fully adjusted odds ratio (OR) and its 95% confidence interval (CI) of 0.22 (0.12-0.40) (P < .001). In contrast, basal SHBG was positively associated with NAFLD regression, with a fully adjusted OR of 4.83 (2.38-9.81) (P < .001). Multiple-stepwise logistic regression analysis showed that SHBG concentration was an independent predictor of NAFLD development (OR, 0.28 [0.18-0.45]; P < .001) and regression (OR, 3.89 [2.43-6.22]; P < .001). In addition, the area under the receiver operating characteristic curves were 0.764 (95% CI, 0.740-0.787) and 0.762 (95% CI, 0.738-0.785) for the prediction models of NAFLD development and regression, respectively. Conclusions Serum SHBG concentration is associated with the development and regression of NAFLD; moreover, it can be a potential biomarker for predicting NAFLD progression, and also a novel preventive and therapeutic target for NAFLD.

scholarly journals Beta-3-adrenergic Receptor rs4994 Polymorphism Is a Potential Biomarker for the Development of Nonalcoholic Fatty Liver Disease in Overweight/Obese Individuals

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yuki Sakamoto ◽  
Kentaro Oniki ◽  
Naoki Kumagae ◽  
Kazunori Morita ◽  
Koji Otake ◽  
...  
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Adrenergic Receptor ◽  
Fatty Liver Disease ◽  
The Body ◽  
Cross Sectional ◽  
Data Set ◽  
Nonalcoholic Fatty Liver ◽  
Potential Biomarker

Nonalcoholic fatty liver disease (NAFLD) is one of the most prevalent chronic liver diseases. Obesity is the most common and well-established risk factor for NAFLD, but there are large interindividual differences in the relationship between weight status and the development of NAFLD. Beta-3-adrenergic receptor (ADRB3) plays a key role in the development of visceral obesity and insulin resistance; however, the effect of ADRB3 polymorphisms on the risk of NAFLD remains unclear. We investigated whether or not a common rs4994 polymorphism (T190C) in the ADRB3 gene is associated with the risk of NAFLD through an increase in the body mass index (BMI) among the general population. We performed cross-sectional and longitudinal analyses in a total of 591 Japanese health screening program participants. Among the overweight or obese subjects, but not normal-weight subjects, individuals with the C/C genotype had a higher risk of developing NAFLD in comparison to those with other genotypes in the cross-sectional analysis (odds ratio: 4.40, 95% confidence interval (CI): 1.08–17.93). Meanwhile, the receiver operating characteristic curve indicated that the association between an increase in the BMI and the presence of NAFLD in subjects with the C/C genotype (area under the curve: 0.91, 95% CI: 0.78–1.00) was more pronounced in comparison to subjects with other genotypes. These above-described findings were verified by the analyses using a replicated data set consisting of 5,000 random samples from original data sets. Furthermore, among the 291 subjects for whom longitudinal medical information could be collected and who did not have NAFLD at baseline, the Cox proportional hazard model also confirmed that overweight or obese status and the C/C genotype were concertedly related to the increased risk of NAFLD development. These results suggest that genotyping the ADRB3 rs4994 polymorphism may provide useful information supporting the development of personalized BMI-based preventive measures against NAFLD.

scholarly journals Serum microRNA-34a is potential biomarker for inflammation in nonalcoholic fatty liver disease

2017 ◽  
Vol 10 (2) ◽  
pp. 163-171 ◽  
Author(s):  
Puth Muangpaisarn ◽  
Kanisa Jampoka ◽  
Sunchai Payungporn ◽  
Naruemon Wisedopas ◽  
Chalermrat Bunchorntavakul ◽  
...  
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Characteristic Curve ◽  
Control Group ◽  
Liver Inflammation ◽  
Apoptosis Pathway ◽  
Nonalcoholic Fatty Liver ◽  
Potential Biomarker

Abstract Background MicroRNA-34a (miR-34a) contributes to liver injury through an apoptosis pathway. Objective To determine the correlation between serum miR-34a and liver inflammation as assessed by nonalcoholic fatty liver disease (NAFLD) activity score (NAS). Method We included a cross-selectional study of 50 patients with NAFLD in this observational study and confirmed diagnosis by liver biopsy, with NAS grading. A control group comprised 23 healthy individuals without chronic liver disease. Serum miR-34a was assayed using a real-time quantitative PCR (Applied Biosystems). Result The mean age of NAFLD patients was 46.0 ± 13.7 years, and 52% were female. Metabolic syndrome was found in 76%. Liver histopathology showed that 54% of patients had NAS ≥4 and significant fibrosis (≥2) was found in 22%. Serum levels of miR-34a were significantly correlated with NAS (r = 0.39, P = 0.005), and the degree of steatosis (r = 0.28, P = 0.049), ballooning (r = 0.30, P = 0.034), and fibrosis (r = 0.39, P = 0.005). Serum miR-34a in patients with NAS ≥4 was significantly higher than in those with NAS <4 (P = 0.011) and controls (P < 0.001). There was no significant correlation between serum miR-34a and other variables. The area under receiver operating characteristic curve for serum miR-34a comparing patients with NAS ≥4 and with NAS <4 was 0.67 (95% CI 0.52, 0.82). Conclusion Serum level of miR-34a has a significant fair to good correlation with NAS and may serve as a biomarker of liver inflammation and fibrosis in patients with NAFLD.

scholarly journals Associations between Phase Angle Values Obtained by Bioelectrical Impedance Analysis and Nonalcoholic Fatty Liver Disease in an Overweight Population

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Guangya Chen ◽  
Yi Lv ◽  
Wei Ni ◽  
Qingxin Shi ◽  
Xingliang Xiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Impedance Analysis ◽  
Whole Body ◽  
Regression Analyses ◽  
Nonalcoholic Fatty Liver ◽  
The Right

Objective. There is a limited diagnosis of nonalcoholic fatty liver disease (NAFLD). Thus, the noninvasive assessments are worth exploring. We determined the associations of phase angles (PhAs) obtained from bioelectric impedance analysis (BIA) with the risk of NAFLD in an overweight population. Methods. A study involving 953 overweight participants was conducted in Wuhan city, China. The associations between PhAs (right arm, left arm, body trunk, right leg, left leg, and whole body) and the risk of NAFLD were conducted using multivariate logistic regression analyses. The associations of PhAs with the controlled attenuation parameter (CAP), a noninvasive assessment of liver steatosis and fibrosis, were also evaluated by both linear and logistic regression analyses. Results. The PhA values of the whole body, trunk, and legs were significantly lower (P<0.05) in the NAFLD group than the non-NAFLD group. After adjustment for BMI, gender, education, income/year, hyperlipidemia, hypertension, diabetes, smoking, passive smoking, and drinking, significant associations of PhA values of the right leg, left leg, and whole body with the risk of NAFLD were observed. In addition, the PhA of the right leg, left leg, and whole body were significantly related to the CAP values. Further stratified analyses indicated that these associations were significant in the participants with BMI <30, but not in the participants with BMI ≥30. Conclusions. PhAs might be effective indicators in the management of NAFLD among overweight people.

scholarly journals Role of Body Mass Index, Waist-to-Height and Waist-to-Hip Ratio in Prediction of Nonalcoholic Fatty Liver Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Rui-Dan Zheng ◽  
Zhuo-Ran Chen ◽  
Jian-Neng Chen ◽  
Yan-Hui Lu ◽  
Jie Chen
Keyword(s):  
Body Mass Index ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Control Group ◽  
Nonalcoholic Fatty Liver ◽  
Waist To Hip Ratio

Objective.To investigate the anthropometric indicators that can effectively predict the nonalcoholic fatty liver disease (NAFLD).Methods.The height, body weight, waist and hip circumference were measured, and body mass index (BMI), waist-to-height (WHtR) and waist-to-hip ratio (WHR) were calculated. M-H chi square test, logistic regression analysis, and receiver-operating characteristic (ROC) curve were employed for the analysis of risk factors.Patients or Materials.490 patients were recruited, of whom 250 were diagnosed as NAFLD and 240 as non-NAFLD (control group).Results.Compared with the control group, the BMI, WHR, and WHtR were significantly higher in patients with NAFLD. Logistic regression analysis showed that BMI and WHR were effective prognostic factors of NAFLD. In addition, WHR plays a more important role in prediction of NAFLD by the area under curve.Conclusion.WHR is closely related to the occurrence of NAFLD. We assume that WHR is beneficial for the diagnosis NAFLD.

scholarly journals Development and Validation of a Novel Scoring System for Noninvasive Nonalcoholic Steatohepatitis Detection in Bariatric Patients

Obesity Facts ◽  
2021 ◽  
pp. 1-11
Author(s):  
Adrian T. Billeter ◽  
Sarah Wloka ◽  
Rouven Behnisch ◽  
Thomas Albrecht ◽  
Stephanie Roessler ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Steatohepatitis ◽  
Scoring System ◽  
Fatty Liver Disease ◽  
Validation Cohort ◽  
Stepwise Logistic Regression ◽  
Obese Patients ◽  
Nonalcoholic Fatty Liver

<b><i>Introduction:</i></b> Nonalcoholic fatty liver disease covers a broad spectrum. Simple steatosis has usually a benign course while nonalcoholic steatohepatitis (NASH) can progress into hepatocellular carcinoma, and cirrhosis. Therefore, differentiating patients with benign steatosis and NASH is crucial. Liver biopsy, the usual gold standard for NASH diagnosis, cannot be used as a screening method due to its associated risks. This is especially problematic for obese patients with a prevalence of nonalcoholic fatty liver disease (NAFLD) in &#x3e;80% of patients. The aim of this study was therefore to develop and validate a noninvasive NASH screening test in a cohort of high-risk, morbidly obese patients. <b><i>Methods:</i></b> This prospective study examined diagnostic accuracy in accordance with STARD guidelines. 112 liver biopsies were consecutively assigned to either a training or validation cohort. Using the Bedossa histological scoring system, the cohorts were subdivided into NASH versus NAFLD/No NAFLD. Predictors of NASH were evaluated with receiver operating characteristic (ROC) curves. A model was then constructed using a backward stepwise logistic regression and evaluated in an independent validation cohort. <b><i>Results:</i></b> 53.5% of the patients had NASH and 4 patients had cirrhosis. Mean body mass index (BMI) was 49.8 ± 7.5 kg/m<sup>2</sup>. Backward stepwise logistic regression identified 4 parameters associated with the presence of NASH: alanin-aminotransferase, albumin, BMI, and triglycerides. The noninvasive NASH detection score (NI-NASH-DS) had an ROC of 0.851 and 0.727 in the training and validation cohorts, respectively. Sensitivity and specificity were 77.1% and 88% in the training cohort and 88% and 48% in the validation cohort which was much better than the established noninvasive scores. <b><i>Discussion/Conclusion:</i></b> The NI-NASH-DS is easy-to-use, inexpensive, and noninvasive and can reliably detect NASH in patients with morbid obesity. Due to its simplicity, it can be used frequently and repeatedly.

Sign in / Sign up

Export Citation Format

Share Document