Sanyal, Arun J.

Background: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally in tandem with the growing obesity epidemic. However, there is a lack of data on the relationship between historical weight changes 10 years ago and at present on NAFLD prevalence at the population level. Therefore, we sought to evaluate the relationship between weight classes and the prevalence of NAFLD. Methods: Data were used from the United States National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Univariate and multivariate general linear model analyses were used to obtain risk ratio (RR) estimations of NAFLD events. Results: In total, 34,486 individuals were analysed, with those who were lean at both time points as the control group. Overweight (RR: 14.73, 95%CI: 11.94 to 18.18, p < 0.01) or obese (RR: 31.51, 95%CI: 25.30 to 39.25, p < 0.01) individuals at both timepoints were more likely to develop NAFLD. Residual risk exists where previously obese individuals became overweight (RR: 14.72, 95%CI: 12.36 to 17.52, p < 0.01) or lean (RR: 2.46, 95%CI: 1.40 to 4.31, p = 0.02), and previously overweight individuals who became lean (RR 2.24, 95%CI 1.42 to 3.54, p = 0.01) had persistent elevated risk of developing NAFLD despite weight regression. Sensitivity analysis identified that a higher proportion of individuals with regression in weight class were diabetics and Mexican Americans, while fewer African Americans saw weight-class regression. Conclusions: Residual risk exists in patients who lost weight despite the smaller magnitude of effect, and targeted weight reductions should still be used to mitigate the risk of NAFLD at the population level.

The perturbations in bile acids (BAs) in alcohol‐associated hepatitis (AH) and its relationship to disease severity is not well defined. The aims of this study were to define (1) the effects of heavy alcohol consumption on BAs and related microbiome, (2) the additional changes with AH, and (3) the relationship of these changes to disease severity. In this multicenter study, plasma and fecal BAs and related microbiome were interrogated in healthy individuals, heavy drinking controls (HDCs) without overt liver disease, and AH. Compared to healthy controls, HDCs had increased glycine‐conjugated 7α and 27α primary BAs and increased secondary BA glycocholenic sulfate (multiple‐comparison adjusted P < 0.05 for all). Plasma‐conjugated cholic and chenodeoxycholic acid increased in AH along with the secondary BAs ursodeoxycholic and lithocholic acid (P < 0.001 for all), whereas deoxycholic acid decreased; however fecal concentrations of both deoxycholic acid and lithocholic acid were decreased. Glycocholenic acid further increased significantly from HDCs to AH. HDCs and AH had distinct plasma and fecal BA profiles (area under the curve, 0.99 and 0.93, respectively). Plasma taurochenodeoxycholic acid and tauroursodeoxycholic acid were directly related to disease severity, whereas fecal ursodeoxycholic acid was inversely related. The fecal abundance of multiple taxa involved in formation of secondary BAs, especially deoxycholic acid (Clostridium cluster XIVa) was decreased in AH. Multiple genera containing taxa expressing 3α, 3β, 7α, and 7β epimerases were decreased with concordant changes in fecal BAs that required these functions for formation. Conclusion: There are distinct changes in BA‐transforming microbiota and corresponding BAs in AH that are related to disease severity.

AbstractBackgroundThe impact of alcoholic hepatitis (AH) on health‐related quality of life (HRQOL) remains inadequately described. We aimed to characterize HRQOL in AH and heavy drinkers (HD), and its associations with clinical variables and outcomes.MethodsThis is a post hoc analysis of participants in the Translational Research and Evolving Alcoholic Hepatitis Treatment 001 study (NCT02172898). HRQOL was measured using Short Form Health Survey (SF‐36). Mean SF‐36 scores were compared in AH and HD with two‐sample t‐tests. Associations among clinical characteristics, 30‐day mortality, and SF‐36 mental and physical component scores (MC, PC) were investigated with generalized linear and logistic multivariate regression models. Trends of MC and PC scores were analyzed using one‐way ANOVA.ResultsParticipants with AH (n = 258) and HD (n = 181) were similar demographically. AH cases had a mean Model for End‐stage Liver Disease (MELD) score of 23 (7). AH cases had lower PC scores [37 (10) vs. 48 (11), p < 0.001] but higher MC scores [37 (13) vs. 32 (13), p < 0.001]. MC scores were independently associated with age, male gender, and daily alcohol consumption; PC scores were independently associated with age, BMI, alanine aminotransferase concentration, alkaline phosphatase concentration, white blood cell counts, and the presence of ascites. With each 5‐point decrease in the baseline PC score, the adjusted odds of dying within 30 days increased by 26.7% (95% CI 1% to 46%). Over time, HRQOL in AH improved (day 0 to day 180 delta PC score: 4.5 ± 1.7, p = 0.008; delta MC score: 9.8 ± 2.0, p < 0.001). Participants with a MELD score <15 by day 180 had greater increases in PC scores than those with MELD score ≥15 (delta PC score 7.1 ± 1.8 vs. −0.7 ± 2.3, p = 0.009), while those abstinent by day 180 had greater increases in MC scores than those who were not abstinent (delta MC score 9.1 ± 1.8 vs. 2.8 ± 2.4, p = 0.044).ConclusionsHRQOL is poor in AH and HD in a domain‐specific pattern. Independent of MELD score, lower baseline HRQOL is associated with higher 30‐day mortality. Over time, HRQOL improves with greater gains seen in individuals with improved MELD scores and those who were abstinent.

Alcohol‐associated hepatitis (AAH) is a severe form of liver injury with mortality as high as 30%‐40% at 90 days. As a result of altered immune function in AAH, bacterial infections are common and are associated with poor outcomes. However, determining the risk and subsequent development of infection in patients with AAH remain challenging. We performed a retrospective study of consecutive patients admitted with a diagnosis of AAH at two independent tertiary centers from 1998 to 2018 (test cohort, n = 286) who developed infections following hospitalization. The diagnosis of AAH was confirmed by manual chart review according to the recent National Institute on Alcohol Abuse and Alcoholism definition. Infections were categorized by location and time of diagnosis as hospital‐acquired infection (48 hours after admission until discharge) and posthospital infections (up to 6 months following discharge). The cohort was 66% men, and the median age was 48 (21‐83) years. Corticosteroids were used in 32% of all patients with AAH. The overall infection rate was 24%. Of those with infections, 46% were hospital acquired and 54% were acquired after hospitalization. Variables found to be significant risk factors for bacterial infection included the presence of ascites on admission (hazard ratio [HR], 2.06), corticosteroid administration (HR, 1.70), Model for End‐Stage Liver Disease (MELD) >23 (HR, 2.61), and white blood cell (WBC) count on admission per point (HR, 1.02). Conclusion: In this multicenter cohort study of patients hospitalized with AAH, MELD score, ascites, WBC count, and use of corticosteroids were identified as significant predictors of the development of bacterial infection. We created a novel predictive equation that may be used to aid in the identification of patients with AAH at high risk of infection.

Background and Aims We conducted a comprehensive serum transcriptomic analysis to explore the roles of microRNAs (miRNAs) in alcohol‐associated hepatitis (AH) pathogenesis and their prognostic significance. Approach and Results Serum miRNA profiling was performed in 15 controls, 20 heavy drinkers without liver disease, and 65 patients with AH and compared to publicly available hepatic miRNA profiling in AH patients. Among the top 26 miRNAs, expression of miR‐30b‐5p, miR‐20a‐5p, miR‐146a‐5p, and miR‐26b‐5p were significantly reduced in both serum and liver of AH patients. Pathway analysis of the potential targets of these miRNAs uncovered the genes related to DNA synthesis and cell‐cycle progression pathways, including ribonucleotide reductase regulatory subunit M2 (RRM2), cyclin D1 (CCND1), cyclin D2 (CCND2), MYC proto‐oncogene (MYC), and phorbol‐12‐myristate‐13‐acetate‐induced protein 1 (PMAIP1). We found a significant increase in the protein expression of RRM2, CCND1, and CCND2, but not MYC and PMAIP1, in AH patients who underwent liver transplantation; miR‐26b‐5p and miR‐30b‐5p inhibited the 3′‐UTR (untranslated region) luciferase activity of RRM2 and CCND2, and miR‐20a‐5p reduced the 3′‐UTR luciferase activity of CCND1 and CCND2. During a median follow‐up of 346 days, 21% of AH patients died; these patients had higher body mass index (BMI), Model for End‐Stage Liver Disease (MELD), and serum miR‐30b‐5p, miR‐20a‐5p, miR‐146a‐5p, and miR‐26b‐5p than those who survived. Cox regression analysis showed that BMI, MELD score, miR‐20a‐5p, miR‐146a‐5p, and miR‐26b‐5p predicted mortality. Conclusions Patients with AH attempt to deal with hepatocyte injury by down‐regulating specific miRNAs and up‐regulating genes responsible for DNA synthesis and cell‐cycle progression. Higher expression of these miRNAs, suggestive of a diminished capacity in liver regeneration, predicts short‐term mortality in AH patients.

AbstractBackgroundAlcoholic hepatitis (AH) is a severe and life‐threatening alcohol‐associated liver disease. Only a minority of heavy drinkers acquires AH and severity varies among affected individuals, suggesting a genetic basis for the susceptibility to and severity of AH.MethodsA cohort consisting of 211 patients with AH and 176 heavy drinking controls was genotyped for five variants in five candidate genes that have been associated with chronic liver diseases: rs738409 in patatin‐like phospholipase domain‐containing protein 3 (PNPLA3), rs72613567 in hydroxysteroid 17‐beta dehydrogenase 13 (HSD17B13), rs58542926 in transmembrane 6 superfamily member 2 (TM6SF2), rs641738 in membrane bound O‐acyltransferase domain containing 7 (MBOAT7), and a copy number variant in the haptoglobin (HP) gene. We tested the effects of individual variants and the combined/interacting effects of variants on AH risk and severity.ResultsWe found significant associations between AH risk and the risk alleles of rs738409 (p = 0.0081) and HP (p = 0.0371), but not rs72613567 (p = 0.3132), rs58542926 (p = 0.2180), or rs641738 (p = 0.7630), after adjusting for patient's age and sex. A multiple regression model indicated that PNPLA3 rs738409:G [OR = 1.59 (95% CI: 1.15–2.22), p = 0.0055] and HP*2 [OR = 1.38 (95% CI: 1.04–1.82), p = 0.0245], when combined and adjusted for age and sex also had a large influence on AH risk among heavy drinkers. In the entire cohort, variants in PNPLA3 and HP were associated with increased total bilirubin and Model for End‐stage Liver Disease (MELD) score, both measures of AH severity. The HSD17B13 rs72613567:AA allele was not found to reduce risk of AH in patients carrying the G allele of PNPLA3 rs738409 (p = 0.0921).ConclusionPNPLA3 and HP genetic variants increase AH risk and are associated with total bilirubin and MELD score, surrogates of AH severity.

BackgroundHeavy alcohol consumption disrupts gut epithelial integrity, leading to increased permeability of the gastrointestinal tract and subsequent translocation of microbes. Regenerating islet‐derived protein 3α (REG3α) and Trefoil factor 3 (TFF3) are mainly secreted to the gut lumen by Paneth and Goblet cells, respectively, and are functionally linked to gut barrier integrity. Circulating levels of REG3α and TFF3 have been identified as biomarkers for gut damage in several human diseases. We examined whether plasma levels of REG3α and TFF3 were dysregulated and correlated with conventional markers of microbial translocation (MT) and pro‐inflammatory mediators in heavy drinkers with and without alcoholic hepatitis (AH).MethodsCross‐sectional and longitudinal studies were performed to monitor plasma levels of REG3α and TFF3 in 79 AH patients, 66 heavy drinkers without liver disease (HDC), and 46 healthy controls (HC) at enrollment and at 6‐ and 12‐month follow‐ups. Spearman correlation was used to measure the relationships of REG3α and TFF3 levels with MT, disease severity, inflammation, and effects of abstinence from alcohol.ResultsAt enrollment, AH patients had significantly higher levels of REG3α and TFF3 than HDC and HC. The elevated REG3α levels were positively correlated with the 30‐day fatality rate. Plasma levels of REG3α and TFF3 in AH patients differentially correlated with conventional MT markers (sCD14, sCD163, and LBP) and several highly up‐regulated inflammatory cytokines/chemokines/growth factors. At follow‐ups, although REG3α and TFF3 levels were decreased in AH patients with alcohol abstinence, they did not fully return to baseline levels.ConclusionsCirculating levels of REG3α and TFF3 were highly elevated in AH patients and differentially correlated with AH disease severity, MT, and inflammation, thereby serving as potential biomarkers of MT and gut epithelial damage in AH patients.

Nonalcoholic fatty liver disease (NAFLD) is currently one of most common forms of chronic liver disease globally. NAFLD represents a wide spectrum of liver involvement from nonprogressive isolated steatosis to nonalcoholic steatohepatitis (NASH), characterized by liver necroinflammation and fibrosis and currently one of the top causes of end‐stage liver disease and hepatocellular carcinoma. At present, there is a lack of effective treatments, and a central barrier to the development of therapies is the requirement for an invasive liver biopsy for diagnosis of NASH. Discovery of reliable, noninvasive biomarkers are urgently needed. In this study, we tested whether circulating extracellular vesicles (EVs), cell‐derived small membrane‐surrounded structures with a rich cargo of bioactive molecules, may serve as reliable noninvasive “liquid biopsies” for NASH diagnosis and assessment of disease severity. Total circulating EVs and hepatocyte‐derived EVs were isolated by differential centrifugation and size‐exclusion chromatography from serum samples of healthy individuals, patients with precirrhotic NASH, and patients with cirrhotic NASH. EVs were further characterized by flow cytometry, electron microscopy, western blotting, and dynamic light scattering assays before performing a proteomics analysis. Our findings suggest that levels of total and hepatocyte‐derived EVs correlate with NASH clinical characteristics and disease severity. Additionally, using proteomics data, we developed understandable, powerful, and unique EV‐based proteomic signatures for potential diagnosis of advanced NASH. Conclusion: Our study shows that the quantity and protein constituents of circulating EVs provide strong evidence for EV protein–based liquid biopsies for NAFLD/NASH diagnosis.

Abstract Background: Accuracy of microbial community detection in 16S rRNA marker-gene and metagenomic studies suffers from contamination and sequencing errors that lead to either falsely identifying microbial taxa that were not in the sample or misclassifying the taxa of DNA fragment reads. Filtering is defined as removing taxa that are present in a small number of samples and have small counts in the samples where they are observed. This approach reduces extreme sparsity of microbiome data and has been shown to correctly remove contaminant taxa in cultured "mock" datasets, where the true taxa compositions are known. Although filtering is frequently used, careful evaluation of its effect on the data analysis and scientific conclusions remains unreported. Here, we assess the effect of filtering on the alpha and beta diversity estimation, as well as its impact on identifying taxa that discriminate between disease states. Results: The effect of filtering on microbiome data analysis is illustrated on four datasets: two mock quality control datasets where same cultured samples with known microbial composition are processed at different labs and two disease study datasets. Results show that in microbiome quality control datasets, filtering reduces the magnitude of differences in alpha diversity and alleviates technical variability between labs, while preserving between samples similarity (beta diversity). In the disease study datasets, DESeq2 and linear discriminant analysis Effect Size (LEfSe) methods were used to identify taxa that are differentially expressed across groups of samples, and random forest models to rank features with largest contribution towards disease classiffcation. Results reveal that filtering retains significant taxa and preserves the model classification ability measured by the area under the receiver operating characteristic curve (AUC). The comparison between filtering and contaminant removal method shows that they have complementary effects and are advised to be used in conjunction. Conclusions: Filtering reduces the complexity of microbiome data, while preserving their integrity in downstream analysis. This leads to mitigation of the classification methods' sensitivity and reduction of technical variability, allowing researchers to generate more reproducible and comparable results in microbiome data analysis.

BackgroundAlcoholic hepatitis (AH) is a severe inflammatory liver disease that develops in some heavy drinkers. AH patients have intense hepatic infiltration of leukocytes. Up‐regulation of cell adhesion molecules (CAMs) upon endothelial cell (EC) activation plays an important role in leukocyte transendothelial migration. CAMs can shed from EC surface and accumulate in the blood, serving as soluble markers for EC activation. In this study, we examined the impact of heavy drinking on expression of soluble forms of EC activation markers (CD146, ICAM‐1, VCAM‐1, and VEGF‐A) and the effect of alcohol abstinence on the reversal of these abnormalities in heavy drinkers with and without AH.MethodsELISA and multiplex immunoassays were used to measure soluble EC activation markers in plasma samples from 79 AH patients, 66 heavy drinkers without overt liver disease (HDC), and 44 healthy controls (HC) at baseline, 31 AH patients and 30 HDC at 6‐month follow‐up, and 18 AH patients and 25 HDC at 12‐month follow‐up.ResultsAt baseline, the 4 soluble markers were significantly up‐regulated in AH patients compared with HDC and HC, whereas only sVCAM‐1 was elevated in HDC relative to HC. At follow‐ups, plasma levels of CD146, VCAM‐1, and VEGF‐A remained higher in AH patients, even for those who stopped drinking. These dysregulated markers correlated with AH disease severity, clinical parameters, and several soluble inflammatory factors.ConclusionsThe levels of soluble CD146, ICAM‐1, VCAM‐1, and VEGF‐A were highly elevated in AH patients, and alcohol abstinence did not completely reverse these abnormalities.