Severity Of Nonalcoholic Fatty Liver Disease Research Articles

Relationship of the Degree of Sarcopenia with the Severity of Nonalcoholic Fatty Liver Disease and Cardiometabolic Risk in Adolescents

The association between nonalcoholic fatty liver disease (NAFLD) and sarcopenia has been suggested. We investigated sarcopenia’s impact on NAFLD severity and its relationship with cardiometabolic risk in adolescents. We conducted a retrospective study on 122 patients aged 13–18 years and diagnosed with both NAFLD and sarcopenia by laboratory tests, abdominal ultrasound (US), and multifrequency bioelectrical impedance analysis. Sarcopenia was stratified into tertiles based on the skeletal muscle-to-fat ratio (MFR), NAFLD severity was established by the US, and cardiometabolic risk was assessed by the triglyceride–glucose (TyG) index and the atherogenic index of plasma (AIP). Compared with the other patients, those in the lower MFR tertiles exhibited a greater severity of NAFLD (p < 0.001) and significantly higher TyG index and AIP. The independent effect of MFR was observed to have a negative correlation with the severity of NAFLD (p < 0.001). Based on the aforementioned results, the degree of sarcopenia can be considered as one of the risk factors of severe NAFLD and might be an indicator of cardiometabolic risk in adolescents. Weight training to reach the amount of muscle mass could be included in the treatment strategies to improve or prevent NAFLD in adolescents with sarcopenia.

Elevated serum preptin levels as a marker for non-alcoholic fatty liver disease severity in type 2 diabetes mellitus patients

Elevated serum preptin levels as a marker for non-alcoholic fatty liver disease severity in type 2 diabetes mellitus patients

Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease.

Although noninvasive tests can be used to predict liver fibrosis, their accuracy is limited for patients with severe obesity and nonalcoholic fatty liver disease (NAFLD). We developed machine learning (ML) models to predict significant liver fibrosis in patients with severe obesity through noninvasive tests. This prospective study included 194 patients with severe obesity who underwent wedge liver biopsy and metabolic bariatric surgery at Taipei Medical University Hospital between September 2016 and December 2020. Significant liver fibrosis was defined as a fibrosis score ≥ 2. Patients were randomly divided into a training group (70%) and a validation group (30%). ML models, including support vector machine, random forest, k-nearest neighbor, XGBoost, and logistic regression, were trained to predict significant liver fibrosis, using DM status, AST, ALT, ultrasonographic fibrosis scores, and liver stiffness measurements (LSM). An ensemble model including these ML models was also used for prediction. Among the ML models, the XGBoost model exhibited the highest AUROC of 0.77, with a sensitivity, specificity, and accuracy of 61.5%, 75.8%, and 69.5%, in validation set, while LSM, AST, ALT showed strongest effects on the model. The ensemble model outperformed all ML models in terms of sensitivity, specificity, and accuracy of 73.1%, 90.9%, and 83.1%. For patients with severe obesity and NAFLD, the XGBoost model and the ensemble model exhibit high predictive performance for significant liver fibrosis. These models may be used to screen for significant liver fibrosis in this patient group and monitor treatment response after metabolic bariatric surgery.

Adipokine/hepatokines profiling of fatty liver in adolescents and young adults: cross-sectional and prospective analyses of the BCAMS study.

The underlying connections between obesity and non-alcoholic fatty liver disease (NAFLD) are not fully understood. One potential link might be the imbalanced adipokines and hepatokines. We aimed to explore the associations between specific adipokines/hepatokines and NAFLD in Chinese youth and to determine how these biomarkers mediate the obesity-NAFLD relationship. We analyzed data from the 10-year follow-up visit of the Beijing Children and Adolescents Metabolic Syndrome (BCAMS) study (n = 509; mean age = 20.2years) for a comprehensive metabolic risk assessment, including liver ultrasound and plasma measurements of adiponectin, leptin, fibroblast growth factor 21 (FGF21), retinol-binding protein 4 (RBP4), and angiopoietin-like protein 8 (ANGPTL8). Longitudinal analysis was performed on a subgroup (n = 307), with complete baseline (mean age = 12.2years) and follow-up data. Mediation models assessed how obesity at baseline and follow-up influence NAFLD through these biomarkers. Participants with NAFLD exhibited a high prevalence of central obesity (90.9%). Both cross-sectional and prospective analyses identified increased RBP4, FGF21, leptin, and decreased adiponectin levels as significant predictors of NAFLD. More adipokine/hepatokine abnormalities were linked to higher NAFLD risk. Furthermore, ratios reflecting adipokine/hepatokine imbalances, including leptin/adiponectin, FGF21/adiponectin, and RBP4/adiponectin, demonstrated stepwise changes correlating with NAFLD severity (all p < 0.05). Mediation analysis indicated that these four adipokines/hepatokines accounted for approximately 72.4% of the central obesity-NAFLD relationship and 80.1% in the subgroup analysis using baseline childhood data. Dysregulated adipokines/hepatokines may explain the onset or progression of obesity-related NAFLD in youths. Higher RBP4, FGF21 and leptin, alongside lower adiponectin, could serve as early biomarkers for NAFLD.

Effects of the interaction between body mass index and dietary patterns on severe NAFLD incidence: A prospective cohort study

BackgroundIt remains unclear whether the associations between dietary patterns and non-alcoholic fatty liver disease (NAFLD) vary by body mass index (BMI). We aimed to explore the association between dietary patterns and severe NAFLD incidence, and further investigate the interaction of BMI with dietary patterns. MethodsIn a prospective cohort study using UK Biobank data, we included White participants with baseline food frequency questionnaire (FFQ) information. Principal component analysis (PCA) with varimax rotation was performed to identify major dietary patterns. The primary outcome was severe NAFLD, defined as hospitalization due to NAFLD or non-alcoholic steatohepatitis (NASH). We employed cause-specific Cox regression for competing risks to assess the association and calculated the relative excess risk due to interaction (RERI) to estimate the interaction of BMI. ResultsThis study included 307,130 participants with a median follow-up of 12.68 years. 3,104 cases of severe NAFLD were identified. PCA analysis revealed two primary dietary patterns: a prudent diet (RC1) and a meat-based diet (RC2). Multivariate analysis showed a standard deviation (SD) increase in RC1 was associated with lower severe NAFLD risk (HR 0.91 [95% CI 0.88 to 0.94]), while a SD increase in RC2 was associated with higher risk (1.10 [1.05 to 1.14]). Significant interactions were observed between baseline BMI ≥ 25 kg/m2 and dietary patterns (RC1: RERI: –0.22 [95% CI –0.43 to –0.003]; RC2: 0.29 [0.03 to 0.56]). ConclusionsTargeted dietary modifications are vital for specific populations at risk of severe NAFLD, considering the significant interaction observed between BMI and dietary patterns.

6428 Update on Genetic F6428 actors of Nonalcoholic Fatty Liver Disease

Abstract Disclosure: H.M. Heshmati: None. Background: Nonalcoholic fatty liver disease (NAFLD) is a pandemic with a prevalence of 25% among the adult population worldwide. NAFLD is a spectrum of liver disorders ranging from simple steatosis to nonalcoholic steatohepatitis (NASH). NASH can progress to cirrhosis and hepatocellular cancer. The pathogenesis of NAFLD is complex and multifactorial, involving metabolic, epigenetic, and genetic factors. Several medical conditions (e.g., obesity, type 2 diabetes, inflammation, insulin resistance, disrupted gut microbiome, and impaired intestinal barrier function) are important risk factors associated with and/or contributing to NAFLD. This review presents an update on the genetic factors of NAFLD identified by the genome-wide association studies (GWAS). Methods: A systematic search of literature was conducted using the search terms nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, cirrhosis, hepatocellular cancer, obesity, type 2 diabetes, epigenetics, and genetics. Results: Evidence for the contribution of genetic factors to NAFLD is further emphasized by the ethnic differences in the prevalence of NAFLD (e.g., higher prevalence among Hispanic American compared to African American adults). Based on the results of the GWAS, several genetic modifiers are relevant to NAFLD development and progression. They include variations in patatin-like phospholipase domain-containing protein 3 (PNPLA3), transmembrane 6 superfamily 2 (TM6SF2), membrane-bound O-acyltransferase domain-containing protein 7 (MBOAT7), glucokinase regulatory protein (GCKR), programmed cell death protein 1 (PDCD1), and hydroxysteroid 17β-dehydrogenase 13 (HSD17B13) genes (non-exhaustive list). These genetic modifiers interact with the metabolic and epigenetic factors for the development and progression of NAFLD and are responsible for the variability in the severity of NAFLD. The PNPLA3 gene variant (rs738409), which is the first and the best validated genetic modifier, is associated with a high risk of development and progression of NAFLD. The PDCD1 gene variant (rs7421861) is independently associated with hepatocellular cancer development. In contrast, the HSD17B13 gene variant (rs72613567) may have a protective effect for NAFLD risk. Conclusion: NAFLD is a multifactorial condition with a complex pathogenesis involving the interactions between metabolic, epigenetic, and genetic factors. The prevalence and risk of NAFLD differ across populations mainly due to genetic polymorphisms. Genetic factors relevant to NAFLD include variations in PNPLA3, TM6SF2, MBOAT7, GCKR, PDCD1, and HSD17B13 genes. A better understanding of these genetic modifiers and their mechanisms of action should allow a better risk prediction of the development of NAFLD and its progression to cirrhosis and hepatocellular cancer and help the development of new and selected therapies for NAFLD. Presentation: 6/3/2024

How Sarcopenia, Muscle Mass, Strength, and Performance Relate to Non-Alcoholic Fatty Liver Disease: A Systematic Review

Background and aim: Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD) affects up to 25% of the population and causes significant morbidity and mortality. Sarcopenia, the loss of muscle strength and quantity/quality, shares multiple pathways with MASLD, pointing to their possible association. In this systematic review, we aimed to describe the association between low muscle mass and/or strength and/or performance and the presence, development, or severity of MASLD/NAFLD. Methods: A search was performed in PubMed, Web of Science, Scopus, and LILACS, on 16 October 2020, for relevant studies, using a comprehensive search query and following PRISMA guidelines for systematic review conduction and reporting. Results: The search yielded 1042 results, of which 42 full papers and 11 poster abstracts were included. NAFLD was determined by imaging (n = 27), non-invasive tests (n = 13), liver biopsy (n = 11), or transient elastography (n = 2), and its severity by liver biopsy (n = 10), non-invasive tests (n = 7), transient elastography (n = 7), or imaging (n = 4). Muscle mass was, in most cases, adjusted for weight (n = 25), body mass index (BMI; n = 13), or height (n = 10). Most studies showed an association of low muscle mass and low strength with NAFLD presence and severity. However, the association of muscle mass with NAFLD was present when muscle mass was adjusted for weight or BMI but not when it was adjusted for height. A meta-analysis was not possible due to high heterogeneity in the methods of assessment of muscle parameters and NAFLD. Conclusions: This systematic review suggests the need for standardization of methods in this discipline. The issuing of specific guidance regarding sarcopenia in NAFLD would be of importance.

Altered gut microbial profile accompanied by abnormal short chain fatty acid metabolism exacerbates nonalcoholic fatty liver disease progression

Dysregulation of the gut microbiome has associated with the occurrence and progression of non-alcoholic fatty liver disease (NAFLD). To determine the diagnostic capacity of this association, we compared fecal microbiomes across 104 participants including non-NAFLD controls and NAFLD subtypes patients that were distinguished by magnetic resonance imaging. We measured their blood biochemical parameters, 16 S rRNA-based gut microbiota and fecal short-chain fatty acids (SCFAs). Multi-omic analyses revealed that NAFLD patients exhibited specific changes in gut microbiota and fecal SCFAs as compared to non-NAFLD subjects. Four bacterial genera (Faecalibacterium, Subdoligranulum, Haemophilus, and Roseburia) and two fecal SCFAs profiles (acetic acid, and butyric acid) were closely related to NAFLD phenotypes and could accurately distinguish NAFLD patients from healthy non-NAFLD subjects. Twelve genera belonging to Faecalibacterium, Subdoligranulum, Haemophilus, Intestinibacter, Agathobacter, Lachnospiraceae_UCG-004, Roseburia, Butyricicoccus, Actinomycetales_unclassified, [Eubacterium]_ventriosum_group, Rothia, and Rhodococcus were effective to distinguish NAFLD subtypes. Of them, combination of five genera can distinguish effectively mild NAFLD from non-NAFLD with an area under curve (AUC) of 0.84. Seven genera distinguish moderate NAFLD with an AUC of 0.83. Eight genera distinguish severe NAFLD with an AUC of 0.90. In our study, butyric acid distinguished mild-NAFLD from non-NAFLD with AUC value of 0.83. And acetic acid distinguished moderate-NAFLD and severe-NAFLD from non-NAFLD with AUC value of 0.84 and 0.70. In summary, our study and further analysis showed that gut microbiota and fecal SCFAs maybe a method with convenient detection advantages and invasive manner that are not only a good prediction model for early warning of NAFLD occurrence, but also have a strong ability to distinguish NAFLD subtypes.

Gut microbiota metabolite trimethylamine N-oxide promoted NAFLD progression by exacerbating intestinal barrier disruption and intrahepatic cellular imbalance

Non-alcoholic fatty liver disease (NAFLD) has become the most common chronic liver disease worldwide, with the gut microbiota and its metabolites are important regulators of its progression. Trimethylamine N-oxide (TMAO), a metabolite of the gut microbiota, has been closely associated with various metabolic diseases, but its relationship with NAFLD remains to be elucidated. In this study, we found that fecal TMAO levels correlated with NAFLD severity. Moreover, TMAO promoted lipid deposition in HepG2 fatty liver cells and exacerbated hepatic steatosis in NAFLD rats. In the colon, TMAO undermined the structure and function of the intestinal barrier at various levels, further activated the TLR4/MyD88/NF-κB pathway, and inhibited the WNT/β-catenin pathway. In the liver, TMAO induced endothelial dysfunction with capillarization of liver sinusoidal endothelial cells, while modulating macrophage polarization. In conclusion, our study suggests that gut microbiota metabolite TMAO promotes NAFLD progression by impairing the gut and liver and that targeting TMAO could be an alternative therapeutic strategy for NAFLD.

Association of nonalcoholic fatty liver disease with new-onset atrial fibrillation stratified by age groups

BackgroundThe association between nonalcoholic fatty liver disease (NAFLD) and atrial fibrillation (AF) has been inconsistent, and the impact of hepatic fibrosis on this relationship remains uncertain. We investigated the association between NAFLD and the risk of new-onset AF across different age groups.MethodsA total of 3,179,582 participants from the 2009 Korean National Health Screening Program were divided into five groups based on NAFLD status: no NAFLD (fatty liver index [FLI] < 30); grade 1 NAFLD without advanced fibrosis (FLI 30–59 & BARD < 2); grade 1 NAFLD with advanced fibrosis (FLI 30–59 & BARD ≥ 2); grade 2 NAFLD without advanced fibrosis (FLI ≥ 60 & BARD < 2); and grade 2 NAFLD with advanced fibrosis (FLI ≥ 60 & BARD ≥ 2). The primary outcome was incident AF.ResultsDuring the median follow-up of 9.3 years, 62,542 patients were diagnosed with new-onset AF. In the age- and sex-adjusted model, the risk of new-onset AF increased across NAFLD grades and fibrosis categories: grade 1 NAFLD without advanced fibrosis (hazard ratio [HR] 1.120, 95% confidence interval [CI]: 1.081–1.161); grade 1 NAFLD with advanced fibrosis (HR 1.275, 95% CI 1.251–1.300); grade 2 NAFLD without advanced fibrosis (HR 1.305, 95% CI: 1.252–1.360); and grade 2 NAFLD with advanced fibrosis (HR 1.627, 95% CI: 1.586–1.670). In the multivariate model, the excess risk of AF in patients with NAFLD and advanced fibrosis remained significant, even in participants aged 20–39 years.ConclusionPatients with NAFLD had a higher risk of new-onset AF, which increased progressively with NAFLD severity, particularly in those aged 20–29 years.

Elevated ALT/AST ratio as a marker for NAFLD risk and severity: insights from a cross-sectional analysis in the United States.

The prevalence and incidence of Nonalcoholic fatty liver disease (NAFLD) are increasing worldwide, and NAFLD has emerged as a prominent global health concern. The link between serum alanine aminotransferase (ALT) to aspartate aminotransferase (AST) ratio and NAFLD remains unclear. This study investigated the association between the ALT/AST ratio and NAFLD prevalence, including liver steatosis and fibrosis levels in the population. We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018, including 4753 participants. Subgroup analyses, stratified by age, gender, and body mass index (BMI), were performed, along with adjusted multivariable logistic regression analyses to evaluate the relationship between ALT/AST levels and the likelihood of NAFLD, liver steatosis, and hepatic fibrosis stage. A generalized additive model examined the non-linear relationship between ALT/AST and the probability of developing NAFLD. Among 4753 participants, 1508 (31.73%) were diagnosed with NAFLD. Significant positive correlations between ALT/AST and NAFLD risk were found across all models. In addition, the subgroup analysis by gender, age, and BMI suggested that ALT/AST showed a positive correlation with NAFLD. The ALT/AST ratio was positively correlated with the degree of liver steatosis and liver fibrosis. The correlation between ALT/AST and the incidence of NAFLD showed a non-linear pattern. In women, the non-linear trend is particularly evident, showing an inverted U-shaped curve with an inflection point of 1.302.A receiver operating characteristic (ROC) analysis showed that the predictive value of ALT/AST for NAFLD was better than that of traditional liver enzyme parameters. A higher ALT/AST ratio was independently associated with a significantly higher risk of NAFLD and liver fibrosis within American cohorts. This link is robust among females, children, and adolescents. ALT/AST ratio can be used as a simple and effective noninvasive biomarker to identify individuals with high risk of NAFLD.

Liver and cardiovascular outcomes in lean non-alcoholic fatty liver disease: an updated systematic review and meta-analysis of about 1 million individuals.

Non-alcoholic fatty liver disease (NAFLD) is present in lean people. However, the magnitude of the prognostic hepatic and cardiovascular risk in these patients compared to non-lean counterparts remains unclear. We aimed to investigate this topic, and to explore whether these risks change based on factors related to NAFLD severity. PubMed and Embase databases were searched for cohort studies (published through April 2024) that evaluated liver and cardiovascular (CV) outcomes in lean and non-lean individuals with NAFLD and reported unadjusted or adjusted data. We pooled risk ratios (RRs) or hazard ratios (HRs) using a random-effects modeling and performed subgroup and meta-regressions analyses. We identified 22 studies with over 1 million NAFLD patients (13.0% were lean). Lean NAFLD showed a similar risk of liver-related events in unadjusted analysis (RR 1.08, 95% CI 0.79-1.49, I2 = 31%), but a higher risk in adjusted analysis (HR 1.66, 95% CI 1.17-2.36, I2 = 83%) compared to non-lean NAFLD. Lean NAFLD had a higher risk of liver-related mortality (RR 2.22, 95% CI 1.57-3.15, I2 = 0%; HR 2.26, 95% CI 1.14-4.51, I2 = 0%). For CV outcomes, lean NAFLD had a lower risk of any cardiovascular disease in unadjusted analysis (RR = 0.82, 95% CI 0.70-0.95, I2 = 88%), but similar risk in adjusted analysis (HR 0.89, 95% CI 0.77-1.02, I2 = 78%), and similar risk of cardiovascular mortality (RR 1.09, 95% CI 0.71-1.66, I2 = 85%; HR 1.26, 95% CI 0.89-1.78, I2 = 46%) compared to non-lean NAFLD. Lean NAFLD patients have worse liver outcomes, but similar CV outcomes compared to non-lean NAFLD patients, highlighting the importance of monitoring both groups closely.

Glycated haemoglobin is a major predictor of disease severity in patients with NAFLD

ObjectivesCurrently, non-invasive scoring systems to stage the severity of non-alcoholic fatty liver disease (NAFLD) do not consider markers of glucose control (glycated haemoglobin, HbA1c); this study aimed to define the relationship between HbA1c and NAFLD severity in patients with and without type 2 diabetes. Research design and methodsData were obtained from 857 patients with liver biopsy staged NAFLD. Generalized-linear models and binomial regression analysis were used to define the relationships between histological NAFLD severity, age, HbA1c, and BMI. Paired biopsies from interventional studies (n = 421) were used to assess the impact of change in weight, HbA1c and active vs. placebo treatment on improvements in steatosis, non-alcoholic steatohepatitis (NASH), and fibrosis. ResultsIn the discovery cohort (n = 687), risk of severe steatosis, NASH and advanced fibrosis correlated positively with HbA1c, after adjustment for obesity and age. These data were endorsed in a separate validation cohort (n = 170). Predictive modelling using HbA1c and age was non-inferior to the established non-invasive biomarker, Fib-4, and allowed the generation of HbA1c, age, and BMI adjusted risk charts to predict NAFLD severity. Following intervention, reduction in HbA1c was associated with improvements in steatosis and NASH after adjustment for weight change and treatment, whilst fibrosis change was only associated with weight change and treatment. ConclusionsHbA1c is highly informative in predicting NAFLD severity and contributes more than BMI. Assessments of HbA1c must be a fundamental part of the holistic assessment of patients with NAFLD and, alongside age, can be used to identify patients with highest risk of advanced disease.

Comprehensive analysis of shared risk genes and immunity-metabolisms between non-alcoholic fatty liver disease and atherosclerosis via bulk and single-cell transcriptome analyses

Objectiveand design: Considering the clinical link between non-alcoholic fatty liver disease (NAFLD) and atherosclerosis (AS), we performed bioinformatics analysis to uncover their pathogenic interrelationship. Methods and resultsData from the U.S. National Health and Nutritional Examination Survey (NHANES) 1999–2018 were included. Among 4851 participants in NHANES, NAFLD was significantly associated with atherosclerotic cardiovascular disease risk (ASCVD risk) (OR = 2.32, 95%CI: 2.04–2.65, P < 0.0001). We conducted WGCNA analysis for NAFLD (GSE130970) and AS (GSE28829) and identified three modules positively related to NAFLD severity and two modules accelerating atherosclerosis plaque progression. 198 key-modules genes were obtained via overlapping these modules. Next, we mined the disease-controlled differentially expressed genes (DEGs) from NAFLD (GSE89632) and AS (GSE100927), respectively. The final common risk genes (ACP5, TP53I3, RPS6KA1, TYMS, TREM2, CA12, and IFI27) were defined by intersecting the upregulated DEGs with 198 genes and validated in new datasets (GSE48452 and GSE43292). Importantly, they showed good diagnostic ability for NAFLD and AS. Immune infiltration analysis showed both illnesses have dysregulated immunity. Analysis of single-cell sequencing datasets NAFLD (GSE179886) and AS (GSE159677) uncovered different abnormal expressions of seven common genes in different immune cells while highlighting metabolic disturbances including upregulation of fatty acid biosynthesis, downregulation of fatty acid degradation and elongation. ConclusionWe found 7 shared hub genes with good diagnostic ability and depicted the landscapes of immune and metabolism involved in NAFLD and AS. Our results provided a comprehensive association between them and may contribute to developing potential intervention strategies for targeting both disorders based on these risk factors.

Serum Ferritin and Cellular Reactive Protein (CRP) in Non Alcoholic Fatty liver Disease (NAFLD) and Non Alcoholic Steatohepatitis (NASH) Patients

Abstract Background Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the world, and it comprises a spectrum of hepatic abnormalities from simple hepatic steatosis to steatohepatitis, fibrosis, cirrhosis, and liver cancer. Simple steatosis (i.e., NAFL) rarely progresses to advanced disease whereas, in approximately 20% of patients with NASH, it progresses to fibrosis and cirrhosis and potentially to hepatocellular carcinoma over a 15-year time period. Aim of the Work To study the relation between serum ferritin and CRP levels and severity of non- alcoholic fatty liver disease NAFLD and non-alcoholic steatohepatitis NASH. Patients and Methods This case control study was conducted on patients attending the Hepatology Outpatient Clinic at Ain Shams University Hospital between December 2019 to May 2020. Results In group A there is significant correlation between ferritin and age, ALT, AST, albumin, CRP, LDL, BMI, cholesterol, triglycerides and NAFLD fibrosis score. But there is no significant correlation between ferritin and Hb, platelets, HDL and fasting blood sugar FBS in group A. In group B there is significant correlation between ferritin and ALT. Ferritin has cutoff point of &amp;gt; 168 with 80% sensitivy &amp; 80% specificity. In group A there is significant correlation between CRP and age, BMI, ALT,AST, albumin, LDL, cholesterole, triglycerides and NAFLD fibrosis score. In group A there is no significant correlation between CRP and Hb, platelets, FBS and HDL. While in group B there is significant correlation between CRP and BMI, ALT, albumin, LDL, cholesterole and triglycerides. CRP cutoff point of &amp;gt; 1.3 with specificity 90% but sensitivity 35%. Conclusion In conclusion, in this study we tried to find a relation between serum ferritin and CRP levels and severity of non-alcoholic fatty liver disease NAFLD and non-alcoholic steatohepatitis NASH. We found that s. ferritin and CRP are significantly elevated in NAFLD and more elevated in NASH with a link between serum ferritin and insulin resistance and the whole metabolic syndrome. Serum ferritin and CRP are related to disease progression with significant correlation with NAFLD fibrosis score.

Inverse association between lung function and nonalcoholic fatty liver disease: An observational and mendelian randomization study

Background and aimThe association between lung function with non-alcoholic fatty liver disease (NAFLD) in the general population remains unknown. We aimed to examine the association between lung function and NAFLD among the general population in an observational and Mendelian randomization (MR) study. Methods and results340, 253 participants without prior liver diseases were included from the UK Biobank. Of these, 30,397 participants had liver proton density fat fraction (PDFF) measurements by magnetic resonance image (MRI). Lung function parameters included forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC). The primary outcome was the presence of NAFLD, defined as a PDFF greater than 5.5%. The secondary outcome included incident severe NAFLD and severe liver diseases (including liver cirrhosis, liver failure, hepatocellular carcinoma and liver-related death), defined by the International Classification of Disease codes with different data sources. During a media follow-up duration of 9.3 years, 7335 (24.1%) the presence of NAFLD cases were documented. There was an inverse association of FEV1 (% predicted) (Per SD increment, adjusted OR = 0.91, 95%CI: 0.88–0.94) and FVC (% predicted) (Per SD increment, adjusted OR = 0.90, 95%CI: 0.87–0.92) with the presence of NAFLD. Similar results were found for incident severe NAFLD, severe liver disease, liver cirrhosis, liver failure and liver-related death. MR analyses showed that the genetically predicted FEV1 (adjusted OR = 0.63, 95%CI: 0.46–0.87) and FVC (adjusted OR = 0.69, 95%CI: 0.51–0.95) were both inversely associated with the presence of NAFLD. ConclusionsThere was an inverse causal relationship between lung function and NAFLD in the general population.

Triglyceride-glucose-alanine aminotransferase index: A noninvasive serum predictor for identifying the severity of pediatric nonalcoholic fatty liver disease.

We hypothesized that the triglyceride-glucose (TyG)-alanine aminotransferase (ALT) index, which combines the TyG index with ALT, may enhance sensitivity and specificity in detecting the severity of nonalcoholic fatty liver disease (NAFLD). A total of 131 NAFLD patients with a mean age of 11.5 ± 2.29 years were enrolled, and severity was assessed by ultrasound fatty liver index (US-FLI) scoring. The TyG-ALT index was defined as ln(fasting triglyceride [mg/dL] × fasting glucose [mg/dL] × ALT [IU/L]/2). Multiple linear regression analysis revealed a significant association between the TyG-ALT index and US-FLI (β = 0.317, P < .001) after controlling for sex, age, and body mass index. The TyG-ALT index showed a more stable and superior ability to detect the severity of NAFLD compared to both ALT and the TyG index. The area under the curve values, listed in the order of ALT, TyG index, and TyG-ALT index, were as follows: 0.737 (P < .001), 0.599 (P = .055), and 0.704 (P < .001) at US-FLI ≥ 4 points; 0.717 (P < .001), 0.720 (P < .001), and 0.775 (P < .001) at US-FLI ≥ 5 points; and 0.689 (P < .05), 0.748 (P < .01), and 0.775 (P < .001) at US-FLI ≥ 6 points. The TyG-ALT index is associated with US-FLI score and superior to both ALT and the TyG index in predicting NAFLD severity. These findings indicate the potential of the TyG-ALT index in the management of pediatric NAFLD progression.

Evaluation of the diagnostic role of circulating miR-16, miR-10b, and miR-21 expression in patients with nonalcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) is a growing global health concern and is characterized by fat accumulation in the liver in the absence of significant alcohol consumption. However, current diagnostic tools, including liver biopsy and imaging techniques, have limitations in terms of accessibility, invasiveness, and sensitivity. Recently, microRNAs (miRNAs) have emerged as non-invasive biomarkers for the diagnosis of NAFLD. In this study, we investigated the expression of three microRNAs (miR-16, miR-10b, and miR-21) in patients with NAFLD across different disease stages compared with healthy subjects. First, miRNAs were extracted from serum samples collected from 34 healthy controls and 38 patients with NAFLD, including 20 with grade 1 and 18 with grade 2 of the disease. Subsequently, cDNA was synthesized from RNA, and miR-21, miR-16, and miR-10b expression was measured using RT-qPCR. The results revealed the downregulation of miR-16 in the early and advanced stages of NAFLD. The serum expression of miR-21 (p < 0 0.01) and miR-10b (p < 0.05) increased in the total NAFLD samples compared with the control group. Moreover, miR-10b expression was significantly higher in patients with stage 2 of NAFLD than in those with stage1 of NAFLD (p < 0.05), suggesting its potential as a biomarker to distinguish between the different grades of the disease. Our results revealed the clinical value of these miRNAs as non-invasive, sensitive, and stage-specific biomarkers for NAFLD. These findings suggest that the assessment of miR-16, miR-21, and miR-10b expression levels could serve as a potentially useful tool for the diagnosis of NAFLD presence and severity.

Bone mass, microarchitecture and turnover among young Indian women with non-alcoholic fatty liver disease.

To evaluate comprehensive bone health among young Indian women, including bone mass, microarchitecture, and turnover, in relation to their non-alcoholic fatty liver disease (NAFLD) status. This cross-sectional study (May 2018-November 2019) recruited women with a history of gestational diabetes mellitus (GDM) and normoglycemia in their index pregnancy, who were at least 6 months postpartum. All participants underwent abdominal ultrasonography for determination of NAFLD status (grades 2 and 3: severe NAFLD) and transient elastography (FibroScan) for hepatic fibrosis (LSM >6 kPa). Bone mass was assessed by DXA, bone microarchitecture with trabecular bone score {TBS} (low TBS ≤ 1.310) and bone turnover with markers of bone formation (osteocalcin and P1NP), and resorption (CTX). Bone mineral density (BMD) at femoral neck (p = 0.026) and total hip (p = 0.007) was significantly higher among women with NAFLD (n = 170) compared to those without (n = 124). There was no significant difference in bone turnover markers between the two groups. The presence of NAFLD [adjusted OR: 1.82 (1.07, 3.11)] was associated with low TBS, with a greater strength of association among women with severe NAFLD [adjusted OR: 2.97 (1.12, 7.88)]. However, these associations were attenuated and no longer significant after additionally adjusting for BMI. Women with NAFLD and hepatic fibrosis manifested significantly higher BMD at lumbar spine, femoral neck, and total hip (p < 0.001 for all) and significantly lower bone turnover markers (osteocalcin, p = 0.009 and CTX, p = 0.029), however, the association with low TBS was not observed. Among young Indian women, NAFLD is associated with increased bone mass and impaired bone microarchitecture, and hepatic fibrosis with increased bone mass and reduced bone turnover.

Physical frailty, genetic predisposition, and the risks of severe non-alcoholic fatty liver disease and cirrhosis: a cohort study.

Frailty, defined as a phenotype of decreased physiological reserves and diminished ability to respond to stressors, has been linked to the development of chronic diseases. Epidemiological evidence connecting frailty to non-alcoholic fatty liver disease (NAFLD) and cirrhosis risks remain sparse. We aimed to assess the longitudinal associations of frailty with the risks of severe NAFLD and cirrhosis in middle-aged to older adults and further explore the modification role of genetic risk on these associations. This study included a total of 398386 participants from the UK Biobank. Incident cases of severe NAFLD and cirrhosis were ascertained through linked hospital records and death registries. Frailty status was assessed by a modified version of the frailty phenotype, encompassing five key components: weight loss, tiredness, physical activity, gait speed, and grip strength. Participants were classified as pre-frailty if they met one or two of these criteria, and as frailty if they met three or more. Genetic predisposition to NAFLD and cirrhosis was estimated by genetic risk score (GRS) and further categorized into high, intermediate, and low genetic risk levels according to tertiles of GRSs. Cox proportional hazards regression model was employed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for their associations. The mean (standard deviation) age of the study population was 56.6 (8.03) years. 214408 (53.8%) of the participants was female; 14924 (3.75%) of participants met the criteria for frailty, 170498 (42.8%) for pre-frailty, and 212964 (53.5%) for non-frailty. Over a median follow-up of 12.0years, we documented 4439 incident severe NAFLD and 3323 incident cirrhosis cases, respectively. Compared with non-frailty, both pre-frailty (HR: 1.50; 95% CI: 1.40-1.60) and frailty (HR: 1.98; 95% CI: 1.77-2.21) were associated with increased risk of NAFLD. Similar associations were observed for cirrhosis, the corresponding HRs (95% CIs) for non-frailty, pre-frailty, and frailty were 1.00 (reference), 1.29 (1.20, 1.38), and 1.90 (1.66, 2.18). Such associations were consistent across all genetic risk levels, with no observed interactions between frailty and GRSs (all P for interactions ≥0.10). Compared with participants with frailty and a low level of genetic risk, the greatest risk increasement in developing severe NAFLD (HR: 3.36; 95% CI: 2.83-3.99) and cirrhosis (HR: 2.81; 95% CI: 2.29-3.44) was both observed in those with frailty and a high level of genetic risk. Our findings indicate that frailty is a significant predictor of severe NAFLD and cirrhosis, irrespective of genetic predisposition.