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Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in people with HIV (PWH). The morphological spectrum of MASLD compared to matched controls and of the correlation between the NAFLD activity score (NAS) and fibrosis stage in PWH remains unknown., Methods: Overall, 107 liver biopsies from PWH with MASLD (MASLD-PWH) were matched to 107 biopsies from individuals with MASLD and without HIV (MASLD controls) on age at biopsy, race/ethnicity, sex, type 2 diabetes, body mass index (BMI) and alanine aminotransferase (ALT) level. Biopsies were scored using NAS., Results: Compared to MASLD-controls, MASLD-PWH had lower steatosis grade (OR: 0.65, 95% CI: (0.47-0.90), p = 0.01), lower lobular inflammation grade (OR: 0.55, 95% CI: (0.34-0.89), p = 0.02), less portal inflammation (OR: 0.42, 95% CI: (0.25-0.72), p = 0.002) and less ballooned hepatocytes (OR: 0.60, 95% CI: (0.41-0.88), p = 0.01). Thus, NAS was lower in MASLD-PWH (OR: 0.69, 95% CI: (0.56-0.85), p < 0.001) than in MASLD controls. There was a trend towards lower prevalence of steatohepatitis in MASLD-PWH (OR: 0.84, 95% CI: (0.68-1.03), p = 0.09). A multivariate analysis demonstrated that MASLD-PWH cases had significantly less steatosis (OR: 0.66, p = 0.03), portal inflammation (OR: 0.34, p = 0.001) and ballooned hepatocytes (OR: 0.55, p = 0.01), yet higher stage fibrosis (OR: 1.42, p = 0.03) compared to MASLD controls., Conclusion: The NAS and histological drivers of fibrosis (e.g. inflammation and hepatocyte ballooning) are less pronounced in MASLD-PWH, and yet fibrosis stage was generally higher when compared to matched controls with MASLD without HIV. This suggests HIV-specific factors beyond hepatic necroinflammation may contribute to fibrosis progression in MASLD-PWH., (© 2024 The Author(s). Alimentary Pharmacology & Therapeutics published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Background/aims: Alcohol-associated hepatitis (AH) mortality and risk factors have not been carefully studied in real-world settings. We examined the rate, temporal trend, and risk factors of mortality in AH., Methods: We conducted a cohort study of individuals with AH diagnoses using medical claims data from Optum's Clinformatics® Data Mart (CDM). Participants were individuals covered by Medicare Advantage and commercial insurance policies. Cases were identified using diagnostic codes. Cox regressions were used to estimate 90 and 180-day mortality rates by hospitalization status., Results: The cohort included 32,001 patients (72% men) who had at least one year of continuous insurance coverage prior to AH diagnoses. Of these, 20,912 were hospitalized within seven days of diagnosis. Ninety and 180-day mortality rates were 12.0% (95% CI [11.6%, 12.5%]) and 16.0% (95% CI [15.4%, 16.5%]), respectively, for the hospitalized patients and 3.1% (95% CI [2.8%, 3.4%]) and 5.1% (95% CI [4.6%, 5.5%]) for the non-hospitalized patients. Pre-existing liver disease, even in a mild form, was associated with an increased risk of death. In hospitalized patients, a history of mild liver disease was associated with a 24% increase in 180-day mortality risk (HR = 1.24, 95% CI: [1.14, 1.36]). Moderate-to-severe liver disease was associated with a more than doubled risk (HR = 2.33, 95% CI: [2.12, 2.56])., Conclusions: History of liver disease was associated with significantly increased AH mortality. The finding highlights the chronic disease context of AH and suggests that prior diagnosis of liver disease should be considered for prognosis and targeted prevention., Competing Interests: Declaration of competing interest Dr. Gawrieh is a consultant to TransMedics, Pfizer. He received research grant support from Viking, Sonic Incytes, and Zydus. None of the other authors had conflicts of interest to disclose., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Metabolic dysfunction associated steatotic liver disease (MASLD) is associated with increased cardiovascular disease (CVD) risk in persons with HIV (PWH). The lipidomic and metabolomic alterations contributing to this risk are poorly understood. We aimed to characterize the advanced lipoprotein and targeted metabolomic profiles in PWH and assess if the presence and severity of MASLD influence these profiles., Methods: This is a cross-sectional analysis of a prospectively enrolled multicenter cohort. PWH without alcohol abuse or known liver disease underwent vibration-controlled transient elastography for controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Lipidomic and metabolomic profiling was undertaken with nuclear magnetic resonance (NMR) spectroscopy. Hepatic steatosis was defined as CAP ≥ 263 dB/m and clinically significant fibrosis (CSF) as LSM ≥ 8 kPa. Logistic regression models assessed associations between MASLD, CSF and lipidomic and metabolic parameters., Results: Of 190 participants (71% cisgender male, 96% on antiretroviral therapy), 58% had MASLD and 12% CSF. Mean (SD) age was 48.9 (12.1) years and body mass index (BMI) 29.9 (6.4) kg/m 2 . Compared to PWH without MASLD (controls), PWH with MASLD had lower HDL-C but higher total triglyceride, VLDL-C, branched-chain amino acids, GlycA, trimethylamine N-oxide levels, Lipoprotein-Insulin Resistance and Diabetes Risk Indices. There were no significant differences in these parameters between participants with MASLD with or without CSF. In a multivariable regression analysis, MASLD was independently associated with changes in most of these parameters after adjustment for age, gender, race/ethnicity, type 2 diabetes mellitus, BMI, and lipid lowering medications use., Conclusions: MASLD in PWH is independently associated with altered advanced lipoprotein and targeted metabolic profiles, indicating a higher CVD risk in this population., (© 2024. The Author(s).)

Background & Aims: Little is known about the interplay between patatin-like phospholipase domain-containing protein 3 (PNPLA3 rs738409 C>G), environmental factors, and the risk of liver-related death (LRD)., Methods: A total of 4,361 adults were selected from NHANES III, 1991-1994. All participants were linked to the National Death Index until 2019 (mean follow-up: 23.2 years). LRD was the study outcome. Associations of PNPLA3, diet, light alcohol intake, smoking, and BMI (kg/m 2 ) with LRD were examined using competing risk regression models., Results: PNPLA3 G-allele was significantly associated with LRD (adjusted subhazard ratio [adj.sHR] 2.9, 95% CI 1.4-5.8). Light alcohol intake (adj.sHR 2.2, 95% CI 1.1-4.5), top quartiles of monounsaturated fat (adj.sHR 0.43, 95% CI 0.12-0.99), and cholesterol (adj.sHR 2.6, 95% CI 1.00-8.8) and coffee intake ≥3 cups/day (adj.sHR 0.05, 95% CI 0.06-0.10), former/current smoking (adj.sHR 1.8, 95% CI 1.2-2.6), BMI (adj.sHR 1.1, 95% CI 1.03-1.2), and healthy eating index (adj.sHR 0.96, 95% CI 0.93-0.98) were associated with LRD. Joint effects between PNPLA3 and environmental factors showed that the risk of LRD was significantly increased in carriers of the G-allele with light alcohol intake (adj.sHR 3.7), higher consumption (top quartile) of cholesterol (adj.sHR 4.1), former (adj.sHR 4.3) or current (adj.sHR 3.5) smoking, or BMI ≥30 (adj.sHR 4.0) kg/m 2 . The effects of the G-allele on the risk of LRD were significantly attenuated in those with top quartile consumption of monounsaturated fat (adj.sHR 0.5) or ≥3 cups/day of coffee (adj.sHR 0.09). Healthy eating index was inversely associated with LRD across all PNPLA3 genotypes (adj.sHR 0.94, 0.96, and 0.97 for CC, CG, and GG, respectively)., Conclusions: PNPLA3 is associated with LRD and this relationship is significantly modified by anthropometric and environmental factors., Impact and Implications: Light alcohol intake, dietary factors (healthy eating index, monounsaturated fat, cholesterol), coffee intake, smoking status, and BMI are independently associated with the risk of liver-related death. The inherited increased risk of PNPLA3 rs738409 on the risk of liver-related death appears to be attenuated by healthy eating index, monounsaturated fat, and coffee intake, and exacerbated by light alcohol intake, smoking, and BMI. Reducing harmful environmental exposures and increasing healthy eating habits may help mitigate the risk of liver-specific mortality even in those with high genetic risk., Competing Interests: Conflicts of interest Dr. Chalasani declares no COIs for this paper. For full disclosure, he has had paid consulting agreements with Madrigal, GSK, Galectin, Zydus, Altimune, Ventyx, Foresite, Merck, and Pfizer. He has research grants from DSM and Exact Sciences. He has equity ownership in Avant Sante Therapeutics, a contract research organization. Dr. Gawrieh discloses consulting for TransMedics, and Pfizer and receives research grant support from Zydus, Viking, and Sonic Incytes. Dr. Vuppalanchi receives research grant support from Zydus, Galectin Therapeutics, Gilead Sciences, Novo Nordisk, Eli Lilly, and also discloses consulting for Fortrea, Medpace, and GSK. Drs. Vilar-Gomez, Pike, Kettler, and Samala have no financial COIs to disclose. Please refer to the accompanying ICMJE disclosure forms for further details., (Copyright © 2024 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.)

Background & Aims: The clinical significance of change in liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE) in patients with non-alcoholic fatty liver disease (NAFLD) is not well-understood. We prospectively defined rates of progression to and regression from LSM-defined compensated advanced chronic liver disease (cACLD) and their associations with liver-related events (LREs)., Methods: Participants in the NASH Clinical Research Network-led NAFLD Database 2 and 3 studies were included. Progression to cACLD was defined as reaching LSM ≥10 kPa in participants with LSM <10 kPa on initial VCTE; regression from cACLD was defined as reaching LSM <10 kPa in participants with baseline LSM ≥10 kPa. LREs were defined as liver-related death, liver transplant, hepatocellular carcinoma, MELD >15, development of varices, or hepatic decompensation. Univariate and multivariable interval-censored Cox regression analyses were used to compare the cumulative LRE probability by LSM progression and regression status., Results: In 1,403 participants, 89 LREs developed over a mean follow-up of 4.4 years, with an annual incidence rate for LREs of 1.5 (95% CI 1.2-1.8). In participants at risk, progression to LSM ≥10 or ≥15 kPa occurred in 29% and 17%, respectively, whereas regression to LSM <10 or <15 kPa occurred in 44% and 49%, respectively. Progressors to cACLD (≥10 kPa) experienced a higher cumulative LRE rate vs. non-progressors (16% vs. 4%, adjusted hazard ratio 4.0; 95% (1.8-8.9); p <0.01). Regressors from cACLD (to LSM <10 kPa) experienced a lower LRE rate than non-regressors (7% vs. 32%, adjusted hazard ratio 0.25; 95% CI 0.10-0.61; p <0.01)., Conclusions: Change in LSM over time is independently and bi-directionally associated with risk of LRE and is a non-invasive surrogate for clinical outcomes in patients with NAFLD., Impact and Implications: The prognostic value of change in LSM in patients with NAFLD is not well understood. In this large prospective study of patients with NAFLD and serial vibration-controlled transient elastography exams, baseline and dynamic changes in LSM were associated with the risk of developing liver-related events. LSM is a useful non-invasive surrogate of clinical outcomes in patients with NAFLD., (Copyright © 2024 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.)

Objective: As metabolic dysfunction-associated steatotic liver disease (MASLD) becomes more prevalent worldwide, it is imperative to create more accurate technologies that make it easy to assess the liver in a point-of-care setting. The aim of this study is to test the performance of a new software tool implemented in Velacur (Sonic Incytes), a liver stiffness and ultrasound attenuation measurement device, on patients with MASLD. This tool employs a deep learning-based method to detect and segment shear waves in the liver tissue for subsequent analysis to improve tissue characterization for patient diagnosis., Methods: This new tool consists of a deep learning based algorithm, which was trained on 15,045 expert-segmented images from 103 patients, using a U-Net architecture. The algorithm was then tested on 4429 images from 36 volunteers and patients with MASLD. Test subjects were scanned at different clinics with different Velacur operators. Evaluation was performed on both individual images (image based) and averaged across all images collected from a patient (patient based). Ground truth was defined by expert segmentation of the shear waves within each image. For evaluation, sensitivity and specificity for correct wave detection in the image were calculated. For those images containing waves, the Dice coefficient was calculated. A prototype of the software tool was also implemented on Velacur and assessed by operators in real world settings., Results: The wave detection algorithm had a sensitivity of 81% and a specificity of 84%, with a Dice coefficient of 0.74 and 0.75 for image based and patient-based averages respectively. The implementation of this software tool as an overlay on the B-Mode ultrasound resulted in improved exam quality collected by operators., Conclusion: The shear wave algorithm performed well on a test set of volunteers and patients with metabolic dysfunction-associated steatotic liver disease. The addition of this software tool, implemented on the Velacur system, improved the quality of the liver assessments performed in a real world, point of care setting., Competing Interests: Conflict of interest M.H., J.L., and C.S. are employees of Sonic Incytes. N.W. is a consultant for Sonic Incytes. S.G.: Research grant support for Viking, Zydus, Sonic Incytes, DSM. R.L. Is the Co-founder of LipoNexus Inc. and was an investigator of clinical trials sponsored by Sonic Incytes. R.L. receives funding support from NCATS (5UL1TR001442), NIDDK (U01DK061734, U01DK130190, R01DK106419, R01DK121378, R01DK124318, P30DK120515), NHLBI (P01HL147835), John C Martin Foundation (RP124). A.R.: Advisor /consultant for Abbvie, Gilead, Intercept/ Advanz, Janssen, Novo-Nordisc. He was an investigator of clinical trials sponsored by Sonic Incytes. T.H.: Receives Grant/Research Support from AbbVie, Allergan, Amgen, Biolinq, Bristol-Myers Squibb, Cytodyn, Assembly, Astra Zeneca, Boehringer-Ingelheim, Bristol-Myers Squibb, CARA, DURECT Corporation, Enanta, Escient, Fractyl, Galectin, Gilead, Grifols, HepQuant, Intercept, Janssen, Merck, Mirum, Novartis, Novo Nordisk, Nucorion, Pfizer, Provepharm, Regeneron, Salix Pharmaceuticals, Sonic Incytes, Terns Pharmaceuticals, Valeant. He was an investigator of clinical trials sponsored by Sonic Incytes. E.Y.: Dr. Eric Yoshida is an investigator of clinical research and clinical trials sponsored by: Sonic Incytes Inc, Pfizer Inc, Gilead Inc, Intercept Inc, Madrigal Inc, Novodisc Inc, Genfit Inc. He has also received a research grant from Paladin Laboratories. EP: None. MC has received research support from CareDx, Intercept and Sonic Incytes and consults for International Healthcare and Pfizer. He was an investigator of clinical trials sponsored by Sonic Incytes. N.A. has received consulting fees from Gilead, Glaxo Smith Kline, Jannsen, Sonic Incytes, Precision Biosciences, Intercept Pharmaceuticals. He has stock in Allurion. He is director, Liver Institute for Education and Research. He was an investigator of clinical trials sponsored by Sonic Incytes., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Introduction: Steatotic liver disease is common in people with HIV (PWH). Identifying those with advanced fibrosis (AF, bridging fibrosis or cirrhosis), F3-4, is important. We aimed to examine the performance of FIB-4 and nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) in PWH to identify those with AF assessed by liver stiffness measurement (LSM)., Methods: We prospectively collected data on adults participating in 2 National Institute of Health-sponsored HIV NAFLD networks. All had HIV on antiretroviral therapy (ART) ≥6 months with HIV RNA <200 copies/mL. Those with viral hepatitis, other liver disease, excessive alcohol use, or hepatic decompensation were excluded. Vibration-controlled transient elastrography for LSM was performed, and AF defined as ≥11 kPa was compared with FIB-4 and NFS at predefined thresholds (<1.3 and >2.67 for FIB-4 and <-1.455 and >0.675 for NFS)., Results: A total of 1,065 participants were analyzed: mean age 51.6 years, 74% male, 28% White, 46% Black, 22% Hispanic, with 34% overweight (body mass index 25-29 kg/m 2 ) and 43% obese (body mass index ≥30 kg/m 2 ). Features of the metabolic syndrome were common: hyperlipidemia 35%, type 2 diabetes 17%, and hypertension 48%. The median CD4 + T-cell count was 666 cells/mm 3 , 74% had undetectable HIV RNA, and duration of HIV-1 was 17 years with most taking a nucleoside reverse transcriptase inhibitor (92%) and an integrase inhibitor (83%). The mean LSM was 6.3 kPa, and 6.3% had AF. The area under the receiver characteristic curve for FIB-4 and NFS to identify AF were 0.70 and 0.75, respectively. While both had high negative predictive values (97%-98%), the sensitivity at low thresholds and specificity at high thresholds were 64% and 97% for FIB-4 and 80% and 96% for NFS, respectively. Neither FIB-4 nor NFS at either threshold had good positive predictive value to detect AF., Discussion: FIB-4 and NFS have excellent specificity and negative predictive value for detecting AF, and thus can be used as screening tools in PWH to exclude those with AF who do not need further testing (LSM) or referral to hepatologist., (Copyright © 2024 by The American College of Gastroenterology.)

Background and Aims: In a recent trial, patients with severe alcohol-associated hepatitis treated with anakinra plus zinc (A+Z) had lower survival and higher acute kidney injury (AKI) rates versus prednisone (PRED). We characterize the clinical factors and potential mechanisms associated with AKI development in that trial., Approach and Results: Data from 147 participants in a multicenter randomized clinical trial (74 A+Z, 73 PRED) were analyzed. AKI, AKI phenotypes, and kidney injury biomarkers were compared between participants who did/did not develop AKI in the 2 treatment arms. Multivariable competing risk analyses were performed to identify baseline risk factors for incident AKI, with death treated as a competing event. Risk factors considered were age, sex, mean arterial pressure, white blood cell count, albumin, MELD, ascites, HE, and treatment arm. At baseline, no participants had AKI; 33% (n=49) developed AKI during follow-up. AKI incidence was higher in A+Z than in PRED (45% [n=33] versus 22% [n=16], p =0.001). AKI phenotypes were similar between the 2 treatment arms ( p =0.361), but peak AKI severity was greater in A+Z than PRED (stage 3 n=21 [63.6%] vs. n=8 [50.0%], p =0.035). At baseline, urine-neutrophil-gelatinase-associated lipocalin levels were similar between participants who developed AKI in both treatment arms ( p =0.319). However, day 7 and 14 urine-neutrophil-gelatinase-associated lipocalin levels were significantly elevated in participants treated with A+Z who developed AKI versus participants treated with PRED who developed AKI ( p =0.002 and 0.032, respectively). On multivariable competing risk analysis, only A+Z was independently associated with incident AKI (subdistribution hazard ratio 2.35, p =0.005)., Conclusions: AKI occurred more frequently and was more severe in participants treated with A+Z. A+Z-treated participants with AKI had higher urine-neutrophil-gelatinase-associated lipocalin, suggesting that A+Z maybe nephrotoxic in patients with severe alcohol-associated hepatitis., (Copyright © 2024 American Association for the Study of Liver Diseases.)

Background & Aims: Food insecurity (FI) is a risk factor for nonalcoholic fatty liver disease (NAFLD) and advanced fibrosis in the general population, but its impact on liver disease in people with HIV (PWH) is unknown., Methods: We examined the association of FI with prevalence of NAFLD and fibrosis in a diverse cohort of PWH. PWH aged ≥ 18 years on antiretroviral therapy, HIV RNA <200 copies/mL, and without other known liver diseases were screened for NAFLD (controlled attenuated parameter ≥263 decibels/meter) and advanced fibrosis (liver stiffness measurement ≥11 kilopascals) by vibration controlled transient elastography at 8 U.S., Centers: Participants were categorized as food insecure using the Six-Item Short Form Household Food Security Survey. We used multivariable logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of NAFLD and advanced fibrosis by FI status., Results: Among 654 PWH, NAFLD was present in 348 (53%) and advanced fibrosis in 41 (6%). FI was present in 203 of participants (31%), including 97/348 with NAFLD (28%) and 18/41 with advanced fibrosis (44%). In multivariable analysis, FI was associated with lower odds of NAFLD (OR, 0.57; 95% CI, 0.37-0.88) and a greater, but nonsignificant, odds of advanced fibrosis (OR, 1.38; 95% CI, 0.65-2.90). We identified a significant interaction between FI and diabetes (P = .02) on fibrosis risk, with greater odds of fibrosis among food insecure PWH and diabetes (OR, 3.83; 95% CI, 1.15-12.73) but not among food insecure nondiabetics (OR, 1.12; 95% CI, 0.47-2.98)., Conclusions: FI is highly prevalent among PWH and associated with lower odds of NAFLD, and among PWH with diabetes, there is greater odds of advanced fibrosis. FI may contribute to hepatic fibrosis through mechanisms other than steatosis in PWH., (Copyright © 2024 AGA Institute. Published by Elsevier Inc. All rights reserved.)

Background and Aims: Comprehensive assessment of pharmacotherapy effects on atherogenic parameters (AP) that influence the risk of cardiovascular disease (CVD) is challenging due to interactions among a large number of parameters that modulate CVD risk., Methods: We developed an illustrative tool, athero-contour (AC), which incorporates weighted key lipid, lipo- and glycoprotein parameters, to readily illustrate their overall changes following pharmacotherapy. We demonstrate the applicability of AC to assess changes in AP in response to saroglitazar treatment in patients with metabolic associated fatty liver disease (MAFLD) in the EVIDENCES IV study., Results: The baseline AC of saroglitazar and placebo groups was worse than the mean of the general population. After 16-week treatment, AC improved significantly in the saroglitazar group due to alterations in very low-density lipoprotein, triglyceride, and glycoproteins., Conclusion: Using AC, we could readily and globally evaluate and visualize changes in AP. AC improved in patients with MAFLD following saroglitazar therapy., (Copyright © 2024 The Authors. Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: Polygenic Risk Scores (PRS) based on results from genome-wide association studies offer the prospect of risk stratification for many common and complex diseases. We developed a PRS for alcohol-associated cirrhosis by comparing single-nucleotide polymorphisms among patients with alcohol-associated cirrhosis (ALC) versus drinkers who did not have evidence of liver fibrosis/cirrhosis., Methods: Using a data-driven approach, a PRS for ALC was generated using a meta-genome-wide association study of ALC (N=4305) and an independent cohort of heavy drinkers with ALC and without significant liver disease (N=3037). It was validated in 2 additional independent cohorts from the UK Biobank with diagnosed ALC (N=467) and high-risk drinking controls (N=8981) and participants in the Indiana Biobank Liver cohort with alcohol-associated liver disease (N=121) and controls without liver disease (N=3239)., Results: A 20-single-nucleotide polymorphisms PRS for ALC (PRSALC) was generated that stratified risk for ALC comparing the top and bottom deciles of PRS in the 2 validation cohorts (ORs: 2.83 [95% CI: 1.82 -4.39] in UK Biobank; 4.40 [1.56 -12.44] in Indiana Biobank Liver cohort). Furthermore, PRSALC improved the prediction of ALC risk when added to the models of clinically known predictors of ALC risk. It also stratified the risk for metabolic dysfunction -associated steatotic liver disease -cirrhosis (3.94 [2.23 -6.95]) in the Indiana Biobank Liver cohort -based exploratory analysis., Conclusions: PRSALC incorporates 20 single-nucleotide polymorphisms, predicts increased risk for ALC, and improves risk stratification for ALC compared with the models that only include clinical risk factors. This new score has the potential for early detection of heavy drinking patients who are at high risk for ALC., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.)

Background & Aims: Severe alcohol-associated hepatitis (SAH) is associated with high 90-day mortality. Glucocorticoid therapy for 28 days improves 30- but not 90-day survival. We assessed the efficacy and safety of a combination of anakinra, an IL-1 antagonist, plus zinc (A+Z) compared to prednisone using the Day-7 Lille score as a stopping rule in patients with SAH., Methods: In this phase IIb double-blind randomized trial in adults with SAH and MELD scores of 20-35, participants were randomized to receive either daily anakinra 100 mg subcutaneously for 14 days plus daily zinc sulfate 220 mg orally for 90 days, or daily prednisone 40 mg orally for 30 days. Prednisone or prednisone placebo was stopped if Day-7 Lille score was >0.45. All study drugs were stopped for uncontrolled infection or ≥5 point increase in MELD score. The primary endpoint was overall survival at 90 days., Results: Seventy-three participants were randomized to prednisone and 74 to A+Z. The trial was stopped early after a prespecified interim analysis showed prednisone was associated with higher 90-day overall survival (90% vs. 70%; hazard ratio for death = 0.34, 95% CI 0.14-0.83, p = 0.018) and transplant-free survival (88% vs. 64%; hazard ratio for transplant or death = 0.30, 95% CI 0.13-0.69, p = 0.004) than A+Z. Acute kidney injury was more frequent with A+Z (45%) than prednisone (22%) (p = 0.001), but rates of infection were similar (31% in A+Z vs. 27% in prednisone, p = 0.389)., Conclusions: Participants with SAH treated with prednisone using the Day-7 Lille score as a stopping rule had significantly higher overall and transplant-free 90-day survival and lower incidence of acute kidney injury than those treated with A+Z., Impact and Implications: There is no approved treatment for severe alcohol-associated hepatitis (SAH). In this double-blind randomized trial, patients with SAH treated with prednisone using the Lille stopping rule on Day 7 had higher 90-day overall and transplant-free survival and lower rates of acute kidney injury compared to patients treated with a combination of anakinra and zinc. The data support continued use of glucocorticoids for patients with SAH, with treatment discontinuation for those with a Lille score >0.45 on Day 7., Trial Registration: NCT04072822., (Copyright © 2024 European Association for the Study of the Liver. All rights reserved.)

Background: Spleen stiffness measurement (SSM) correlates with the severity of portal hypertension., Aims: We investigated the utility of SSM in individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) for detecting cirrhosis, esophageal varices (EV), and high-risk EV., Methods: 154 study participants with MASLD underwent simultaneous liver stiffness measurement (LSM) and SSM. 96 (62%) participants had an upper endoscopy (73 participants, i.e., 47% undergoing within a year). The diagnostic performance of SSM, as well as the BAVENO VII proposed SSM cutoffs (≥ 21 kPa, > 40 kPa, and > 50 kPa), was examined., Results: The failure rate for SSM was 19% compared to 5% for LSM. An invalid SSM was statistically significantly associated with a higher body mass index, a larger waist circumference, and a lower fibrosis stage. The area under the receiver operating characteristics for SSM to diagnose cirrhosis, EV, and high-risk EV was 0.78 (95% CI 0.70-0.85), 0.74 (95% CI 0.61-0.84), and 0.82 (95% CI 0.75-0.98), respectively. SSM ≥ 21 kPa cutoff had a sensitivity > 96% for all three outcomes, with a positive predictive value (PPV) of 88% for cirrhosis. In contrast, SSM > 40 kPa and SSM > 50 kPa cutoffs had better diagnostic abilities for identifying EV, particularly high-risk EV (sensitivity of 100% and 93% with NPV of 100% and 96%, respectively)., Conclusion: SSM has a higher failure rate in individuals who are non-cirrhotic or have a higher BMI, or larger waist circumference. Although useful for diagnosing NASH cirrhosis, SSM is most reliable in excluding EV and high-risk EV., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Obesity is an independent risk factor for the development of hepatocellular carcinoma (HCC) and may influence its outcomes. However, after diagnosis of HCC, like other malignancies, the obesity paradox may exist where higher body mass index (BMI) may in fact confer a survival benefit. This is frequently observed in patients with advanced HCC and cirrhosis, who often present late with advanced tumor features and cancer related weight loss., Aim: To explore the relationship between BMI and survival in patients with cirrhosis and HCC., Methods: This is a retrospective cohort study of over 2500 patients diagnosed with HCC between 2009-2019 at two United States academic medical centers. Patient and tumor characteristics were extracted manually from medical records of each institutions' cancer registries. Patients were stratified according to BMI classes: < 25 kg/m 2 (lean), 25-29.9 kg/m 2 (overweight), and > 30 kg/m 2 (obese). Patient and tumor characteristics were compared according to BMI classification. We performed an overall survival analysis using Kaplan Meier by the three BMI classes and after adjusting for Milan criteria. A multivariable Cox regression model was then used to assess known risk factors for survival in patients with cirrhosis and HCC., Results: A total of 2548 patients with HCC were included in the analysis of which 11.2% ( n = 286) were classified as non-cirrhotic. The three main BMI categories: Lean ( n = 754), overweight ( n = 861), and obese ( n = 933) represented 29.6%, 33.8%, and 36.6% of the total population overall. Within each BMI class, the non-cirrhotic patients accounted for 15% ( n = 100), 12% ( n = 94), and 11% ( n = 92), respectively. Underweight patients with a BMI < 18.5 kg/m 2 ( n = 52) were included in the lean cohort. Of the obese cohort, 42% ( n = 396) had a BMI ≥ 35 kg/m 2 . Out of 2262 patients with cirrhosis and HCC, 654 (29%) were lean, 767 (34%) were overweight, and 841 (37%) were obese. The three BMI classes did not differ by age, MELD, or Child-Pugh class. Chronic hepatitis C was the dominant etiology in lean compared to the overweight and obese patients (71%, 62%, 49%, P < 0.001). Lean patients had significantly larger tumors compared to the other two BMI classes (5.1 vs 4.2 vs 4.2 cm, P < 0.001), were more likely outside Milan (56% vs 48% vs 47%, P < 0.001), and less likely to undergo transplantation (9% vs 18% vs 18%, P < 0.001). While both tumor size ( P < 0.0001) and elevated alpha fetoprotein ( P < 0.0001) were associated with worse survival by regression analysis, lean BMI was not ( P = 0.36)., Conclusion: Lean patients with cirrhosis and HCC present with larger tumors and are more often outside Milan criteria, reflecting cancer related cachexia from delayed diagnosis. Access to care for hepatitis C virus therapy and liver transplantation confer a survival benefit, but not overweight or obese BMI classifications., Competing Interests: Conflict-of-interest statement: Dr. Gawrieh consulting: TransMedics, Pfizer, research grant support: Cirius, Galmed and Zydus. Dr. Chalasani had paid consulting activities with following companies in last 12 months: Abbvie, Madrigal, Galectin, Zydus, Boehringer-Ingelheim, and Altimmune. He and his institution receive research funding from DSM, Exact Sciences, and Galectin. The remaining authors have no conflicts of interests to declare in the last 12 months., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) has recently been proposed as a replacement term for NAFLD., Aims: To assess the effects of this new nomenclature on the prevalence and distribution of different SLD categories in people with HIV (PWH) and identified factors associated with MASLD and clinically significant fibrosis (CSF)., Methods: PWH were prospectively enrolled from 9 US centres and underwent clinical evaluation and vibration-controlled transient elastography for controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). SLD was defined as CAP ≥ 263 dB/m, CSF as LSM of ≥8 kPa, and advanced fibrosis (AF) as LSM ≥ 12 kPa. The prevalence of SLD, MASLD, metabolic dysfunction and alcohol-associated liver disease (MetALD), ALD, cryptogenic (cSLD), CSF and AF were determined. Uni- and multivariate logistic regression models were used to assess factors associated with MASLD and CSF risk., Results: Of 1065 participants, 74% were male, mean (SD) age 51.6 ± 11.9 years, 46% non-Hispanic Black and 74% with undetectable HIV RNA. The prevalence of SLD was 52%, MASLD 39%, MetALD 10%, ALD 3%, CSF 15% and AF 4%. Only 0.6% had cSLD. Black race was protective whereas obesity, ALT and AST levels were associated with increased risk of MASLD and CSF in MASLD. HIV or antiretroviral therapy did not affect MASLD risk., Conclusions: MASLD and MetALD are the dominant causes of SLD in PWH, affecting almost half. Application of the new nomenclature resulted in minimal change in the proportion of patients with MASLD who would have been diagnosed previously with NAFLD., (© 2023 John Wiley & Sons Ltd.)

Background: Recruitment and retention are critical in clinical studies but there are limited objective metrics of trial performance. We tested if development of trial performance metrics will allow for objective evaluation of study quality. Performance metrics were developed using data from the observational cohort (OBS) and randomized clinical trial (RCT) arms of the prospective Alcoholic Hepatitis Network., Methods: Yield-rate (%YR; eligible/screened), recruitment index (RI; mean recruitment time/patient), completion index (CI; average number of days to complete the follow-up/patient), and protocol adherence index (AI; average number of deviations/subject recruited) were determined., Results: 2250 patients (1168 for OBS; 1082 for RCT) were screened across 8 sites. Recruitment in the RCT (57% target) was similar to that in the OBS (59% target). Of those screened, 743 (63.6%) subjects in the OBS and 147 (13.6%) subjects in the RCT were enrolled in the study. In OBS study, 253 (34.1%) subjects, and in the RCT, 68 (46.3%) subjects, completed the study or reached a censoring event. Across all sites (range), YR for OBS was 63.6% (41.3-98.3%) and for RCT was 13.6% (5.5-92.6%); RI for OBS was 1.66 (8.79-19.85) and for RCT was 4.05 (19.76-36.43); CI for OBS was 4.87 (22.6-118.3) and for RCT was 8.75 (27.27-161.5); and AR for OBS was 0.56 (0.08-1.04) and for RCT was 1.55 (0.39-3.21. Factors related to participants, research design, study team, and research sponsors contributed to lower performance metrics., Conclusions: Objective measures of clinical trial performance allow for strategies to enhance study quality and development of site-specific improvement plans., Trial Registration Number: ClinicalTrials.gov NCT4072822 NCT03850899., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Introduction: Hospital readmissions are common in patients with cirrhosis, but there are few studies describing readmission preventability. We aimed to describe the incidence, causes, and risk factors for preventable readmission in this population., Methods: We performed a prospective cohort study of patients with cirrhosis hospitalized at a single center between June 2014 and March 2020 and followed up for 30 days postdischarge. Demographic, clinical, and socioeconomic data, functional status, and quality of life were collected. Readmission preventability was independently and systematically adjudicated by 3 reviewers. Multinomial logistic regression was used to compare those with (i) preventable readmission, (ii) nonpreventable readmission/death, and (iii) no readmission., Results: Of 654 patients, 246 (38%) were readmitted, and 29 (12%) were preventable readmissions. Reviewers agreed on preventability for 70% of readmissions. Twenty-two (including 2 with preventable readmission) died. The most common reasons for readmission were hepatic encephalopathy (22%), gastrointestinal bleeding (13%), acute kidney injury (13%), and ascites (6%), and these reasons were similar between preventable and nonpreventable readmissions. Preventable readmission was often related to paracentesis timeliness, diuretic adjustment monitoring, and hepatic encephalopathy treatment. Compared with nonreadmitted patients, preventable readmission was independently associated with racial and ethnic minoritized individuals (odds ratio [OR] 5.80; 95% CI, 1.96-17.13), nonmarried marital status (OR 2.88; 95% CI, 1.18-7.05), and admission in the prior 30 days (OR 3.45; 95% CI, 1.48-8.04)., Discussion: For patients with cirrhosis, readmission is common, but most are not preventable. Preventable readmissions are often related to ascites and hepatic encephalopathy and are associated with racial and ethnic minorities, nonmarried status, and prior admissions., (Copyright © 2023 by The American College of Gastroenterology.)

The principal limitations of the terms NAFLD and NASH are the reliance on exclusionary confounder terms and the use of potentially stigmatising language. This study set out to determine if content experts and patient advocates were in favor of a change in nomenclature and/or definition. A modified Delphi process was led by three large pan-national liver associations. The consensus was defined a priori as a supermajority (67%) vote. An independent committee of experts external to the nomenclature process made the final recommendation on the acronym and its diagnostic criteria. A total of 236 panelists from 56 countries participated in 4 online surveys and 2 hybrid meetings. Response rates across the 4 survey rounds were 87%, 83%, 83%, and 78%, respectively. Seventy-four percent of respondents felt that the current nomenclature was sufficiently flawed to consider a name change. The terms "nonalcoholic" and "fatty" were felt to be stigmatising by 61% and 66% of respondents, respectively. Steatotic liver disease was chosen as an overarching term to encompass the various aetiologies of steatosis. The term steatohepatitis was felt to be an important pathophysiological concept that should be retained. The name chosen to replace NAFLD was metabolic dysfunction-associated steatotic liver disease. There was consensus to change the definition to include the presence of at least 1 of 5 cardiometabolic risk factors. Those with no metabolic parameters and no known cause were deemed to have cryptogenic steatotic liver disease. A new category, outside pure metabolic dysfunction-associated steatotic liver disease, termed metabolic and alcohol related/associated liver disease (MetALD), was selected to describe those with metabolic dysfunction-associated steatotic liver disease, who consume greater amounts of alcohol per week (140-350 g/wk and 210-420 g/wk for females and males, respectively). The new nomenclature and diagnostic criteria are widely supported and nonstigmatising, and can improve awareness and patient identification., Competing Interests: Declaration of interests Manal F. Abdelmalek consults, advises, and received grants from Bristol Myers Squibb, Hanmi, Intercept, Inventiva, and Madrigal. She consults and advises 89Bio, Merck, NGM Bio, Novo Nordisk, Sonic Incytes, and Theratechnologies. She is on the speakers’ bureau for the Chronic Liver Disease Foundation, Clinical Care Options, Fishawack, Medscape, and Terra Firma. She received grants from Allergan, Boehringer Ingelheim, Celgene, Durect, Enanta, Enyo, Galmed, Genentech, Gilead, Novo Nordisk, Poxel, Target NASH, and Viking. Quentin M. Anstee, on behalf of Newcastle University, consults for Alimentiv, Akero, AstraZeneca, Axcella, 89Bio, Boehringer Ingelheim, Bristol Myers Squibb, Galmed, GENFIT, Genentech, Gilead, GSK, Hanmi, HistoIndex, Intercept, Inventiva, Ionis, IQVIA, Janssen, Madrigal, Medpace, Merck, NGM Bio, Novartis, Novo Nordisk, PathAI, Pfizer, Pharmanest, Prosciento, Poxel, RTI, Resolution Therapeutics, Ridgeline Therapeutics, Roche, Shionogi, and Terns. He is on the speakers’ bureau for Fishawack, Integritas Communications, Kenes, Novo Nordisk, Madrigal, Medscape, and Springer Healthcare. He received grants from AstraZeneca, Boehringer Ingelheim, and Intercept. He holds intellectual property rights with Elsevier, Ltd. Ramon Bataller is on the speakers’ bureau for Abbvie and Gilead. Ulrich Beuers consults for CSL Behring. He is on the speakers’ bureau for Abacus and Zambon. Elisabetta Bugianesi advises Boehringer Ingelheim, MSD, and Novo Nordisk. Helena Cortez-Pinto consults and received grants from Novo Nordisk and Roche. She received grants from Eisai, Gilead, GMP-Orphan, and Intercept. Kenneth Cusi Consults for Aligos, Arrowhead, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Covance, Lilly, Madrigal, Myovant, Novo Nordisk, Prosciento, Sagimet, and Siemens. He received grants from Echosens, Inventiva, LabCorp, Nordic Biosciences, and Target NASH. Sven M. Francque consults and received grants from Astellas, Falk, GENFIT, Gilead, Glympse Bio, Janssen, Inventiva, Merck, Pfizer, and Roche. He consults for AbbVie., Actelion, Aelin Therapeutics, Allergan, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, Coherus, CSL Behring, Echosens, Eisai, ENYO, Galapagos, Galmed, Genetech, Intercept, Julius Clinical, Madrigal, Medimmune, NGM Bio, Novartis, Novo Nordisk, and Promethera. Samer Gawrieh consults for Pfizer and TransMedics. He received grants from LiverIncytes, Viking, and Zydus. Manuel Romero-Gómez advises and received grants from Novo Nordisk and Siemens. He advises AbbVie., Alpha-sigma, Allergan, AstraZeneca, Axcella, Boehringer Ingelheim, Bristol Myers Squibb, Gilead, Intercept, Inventia, Kaleido, MSD, Pfizer, Prosciento, Rubió, Shionogi, Sobi, and Zydus. He received grants from Echosens and Theratechnologies. Cynthia D. Guy consults for 89Bio, CymaBay, HistoIndex, Madrigal, and NGM. Stephen Harrison consults, advises, is involved with trials, received grants, and owns stock in Akero, Galectin, GENFIT, Hepion, and NGM Bio. He consults, advises, is involved with trials, and received grants from Axcella, Gilead, Intercept, Madrigal, and Poxel. He consults, advises, received grants, and owns stock in NorthSea Therapeutics. He consults, advises, and is involved with trials for Terns. He consults, advises, and received grants from HighTide, Novartis, Novo Nordisk, and Sagimet. He consults, advises, and owns stock in HistoIndex, Metacrine, and Sonic Incytes. He consults, received grants, and owns stock in Cirius. He consults, is involved with trials, and received grants from ENYO and Viking. He is involved with trials and received grants from Genentech. He consults and is involved with trials for Ionis. He consults and received grants from CiVi, CymaBay, Galmed, and Pfizer. He consults and owns stock in Hepta Bio. He consults and advises for Altimmune, Echosens North America, Foresite Labs, and Medpace. He advises and owns stock in ChronWell. He consults for AgomAb, Alentis, Aligos Therapeutics, Alimentiv, Blade, Bluejay, Boston Pharmaceuticals, Boxer Capital, CanFite BioPharma, the Chronic Liver Disease Foundation (CLDF), CohBar, Corcept, Fibronostics, Fortress Biotech, Galecto, Gelesis, GSK, GNS Healthcare, GRI Bio, Hepagene, Indalo, Inipharm, Innovate Biopharmaceuticals, Kowa Research Institute, Merck, MGGM, NeuroBo, Nutrasource, Perspectum, Piper Sandler, Prometic (now Liminal BioSciences), Ridgeline Therapeutics, Silverback, and Zafgen (now Larimar). He advises Arrowhead BVF Partners, Humana, and Pathai. He received grants from Bristol Myers Squibb, Conatus, Immuron, and Second Genome. Samuel Klein advises Alnylam, Altimmune, and Merck. Kris V. Kowdley advises, is on the speakers’ bureau, and received grants from Gilead and Intercept. He advises, received grants, and owns stock in Inipharm. He advises and received grants from 89bio, CymaBay, GENFIT, Ipsen, Madrigal, Mirum, NGM Bio, Pfizer, Pliant, and Zeds. He advises Enact, HighTide, and Protagonist. He is on the speakers’ bureau for AbbVie. He received grants from Boston Pharmaceuticals, Corcept, GSK, Hanmi, Janssen, Novo Nordisk, Terns, and Viking. Jeffrey V. Lazarus consults for Novavax. He received grants from AbbVie, Gilead, MSD, and Roche Diagnostics. Rohit Loomba consults and received grants from Arrowhead, AstraZeneca, Bristol Myers Squibb, Galmed, Gilead, Intercept, Inventiva, Ionis, Janssen, Lilly, Madrigal, Merck, NGM Bio, Novo Nordisk, Pfizer, and Terns. He consults and owns stock in 89Bio and Sagimet. Consults for Altimmune, Anylam, Amgen, CohBar, Glympse Bio, HighTide, Inipharm, Metacrine, Novartis, Regeneron, Theratechnologies, and Viking. He received grants from Boehringer Ingelheim, Galectin Therapeutics, Hanmi, and Sonic Incytes. He cofounded and owns stock in LipoNexus. Phillip N. Newsome consults, advises, is on the speakers’ bureau, and received grants from Novo Nordisk. He consults and advises Boehringer Ingelheim, Bristol Myers Squibb, Gilead, GSK, Intercept, Madrigal, Pfizer, Poxel, and Sun Pharma. He is on the speakers’ bureau for AiCME. Elizabeth E. Powell advises and received grants from Novo Nordisk. Vlad Ratziu consults and received grants from Intercept. He consults for Boehringer Ingelheim, Eny, Madrigal, NorthSea, Novo Nordisk, E. Poxel, and Sagimet. He received grants from Gilead. Mary E. Rinella consults for Boehringer Ingelheim, CytoDyn, GSK, Novo Nordisk, HistoIndex, Intercept, Madrigal, NGM Bio, and Sonic Incytes. Michael Roden consults and received grants from Boehringer Ingelheim and Novo Nordisk. He consults for Lilly. He is on the speakers’ bureau for AstraZeneca. Arun J. Sanyal consults and advises Avant Santé and AstraZeneca. He consults and received grants from Akero, Bristol Myers Squibb, Intercept, Lilly, Madrigal, and Novo Nordisk. He consults and owns stock in Rivus. He consults for AGED Diagnostics, Albireo, Alnylam, Altimmune, Boehringer Ingelhiem, 89Bio, Echosense, Genentech, Gilead, GSK, HistoIndex, Malinckrodt, Merck, NGM Bio, Novartis, PathAI, Pfizer, Poxel, Regeneron, Salix, Siemens, Surrozen, Takeda, Terns, and Zydus. He owns stock in Durect, Exhalenz, GENFIT, Indalo, Inversago, and Tiziana. He received royalties from Elsevier and Wolters Kluwer. Marcelo Silva consults, advises, and received grants from Zydus. He received grants from Inventiva and MSD. Dina Tiniakos consults for Clinnovate Health, ICON, Ionis, Inventiva, Merck, and Verily. Luca Valenti consults and received grants from Gilead. He consults for AstraZeneca, Boehringer Ingelheim, MSD, Novo Nordisk, Pfizer, and Resalis Therapeutics. Miriam B. Vos consults and advises Thiogenesis. She consults and received grants from Target Real World Evidence. She consults and owns stock in Intercept. She consults for Albireo, Boehringer Ingelheim, Lilly, Novo Nordisk, and Takeda. She received grants from Bristol Myers Squibb, Quest, and Sonic Incytes. Vincent Wai-Sun Wong consults and received grants from Gilead. He consults for AbbVie, Boehringer Ingelheim, Echosens, Intercept, Inventiva, Novo Nordisk, Pfizer, Sagimet, and TARGET PharmaSolutions. He owns stock in Illuminatio Medical Technology. Yusuf Yilmaz consults for Zydus. He advises Novo Nordisk. He is on the speakers’ bureau for Echosens. Zobair Younossi consults for Bristol Myers Squibb, Gilead, Intercept, Madrigal, Merck, Novartis, Novo Nordisk, Quest, Siemens, and Terns. The remaining authors have no conflicts to report., (Copyright © 2023 Mary E. Rinella, Jeffrey V. Lazarus, Vlad Ratziu, Sven M. Francque, Arun J. Sanyal, Fasiha Kanwal, Diana Romero, Manal F. Abdelmalek, Quentin M. Anstee, Juan Pablo Arab, Marco Arrese, Ramon Bataller, Ulrich Beuers, Jerome Boursier, Elisabetta Bugianesi, Christopher D. Byrne, Graciela E. Castro Narro, Abhijit Chowdhury, Helena Cortez-Pinto, Donna Cryer, Kenneth Cusi, Mohamed El-Kassas, Samuel Klein, Wayne Eskridge, Jiangao Fan, Samer Gawrieh, Cynthia D. Guy, Stephen A. Harrison, Seung Up Kim, Bart Koot, Marko Korenjak, Kris Kowdley, Florence Lacaille, Rohit Loomba, Robert Mitchell-Thain, Timothy R. Morgan, Elisabeth Powell, Michael Roden, Manuel Romero-Gómez, Marcelo Silva, Shivaram Prasad Singh, Silvia C. Sookoian, C. Wendy Spearman, Dina Tiniakos, Luca Valenti, Miriam B. Vos, Vincent Wai-Sun Wong, Stavra Xanthakos, Yusuf Yilmaz, Zobair Younossi, Ansley Hobbs, Marcela Villota-Rivas, Philip N. Newsome (senior), NAFLD Nomenclature consensus group. Published by Elsevier España, S.L.U. All rights reserved.)

Background and Aims: Little is known about the clinical characteristics and prognosis of hospitalized patients with moderate alcohol-associated hepatitis (mAH) as compared to severe alcohol-associated hepatitis (sAH). Therefore, we aimed to describe the clinical characteristics and risk factors associated with mortality in hospitalized mAH patients., Methods: Patients hospitalized with alcohol-associated hepatitis (AH) from 1 January 2010 to 31 December 2020 at a large US healthcare system [11 hospitals, one liver transplant centre] were retrospectively analysed for outcomes. Primary outcome was 90-day mortality. AH and mAH were defined according to NIAAA Alcoholic Hepatitis Consortia and Model for End-stage Liver Disease Score ≤ 20 respectively. Multivariable Cox regression analysis was performed to identify independent risk factors associated with 90-day mortality., Results: 1504 AH patients were hospitalized during the study period, of whom 39% (n = 590) had mAH. Compared to sAH patients, mAH patients were older (50 vs. 48 years, p < 0.001) and less likely to have underlying cirrhosis (74% vs. 83%, p < 0.001). There were no differences between the two groups for median alcohol intake g/day (mAH 140.0 vs. sAH 112.0, p = 0.071). The cumulative proportion surviving at 90 days was 88% in mAH versus 62% in sAH (p < 0.001). On multivariable analysis, older age [HR 1.03 (95% CI 1.00-1.06), p = 0.020], corticosteroid use [HR 1.80 (95% CI 1.06-3.06), p = 0.030] and acute kidney injury (AKI) [HR 2.43 (95% CI 1.33-4.47), p = 0.004] were independently associated with 90-day mortality., Conclusions: mAH carries a 12% mortality rate at 90 days. Age, AKI and corticosteroid use were associated with an increased risk for 90-day mortality. Avoidance of corticosteroids and strategies to reduce the risk of AKI could improve outcomes in mAH patients., (© 2023 The Authors. Liver International published by John Wiley & Sons Ltd.)

The principal limitations of the terms NAFLD and NASH are the reliance on exclusionary confounder terms and the use of potentially stigmatising language. This study set out to determine if content experts and patient advocates were in favour of a change in nomenclature and/or definition. A modified Delphi process was led by three large pan-national liver associations. The consensus was defined a priori as a supermajority (67%) vote. An independent committee of experts external to the nomenclature process made the final recommendation on the acronym and its diagnostic criteria. A total of 236 panellists from 56 countries participated in 4 online surveys and 2 hybrid meetings. Response rates across the 4 survey rounds were 87%, 83%, 83%, and 78%, respectively. Seventy-four percent of respondents felt that the current nomenclature was sufficiently flawed to consider a name change. The terms "nonalcoholic" and "fatty" were felt to be stigmatising by 61% and 66% of respondents, respectively. Steatotic liver disease was chosen as an overarching term to encompass the various aetiologies of steatosis. The term steatohepatitis was felt to be an important pathophysiological concept that should be retained. The name chosen to replace NAFLD was metabolic dysfunction-associated steatotic liver disease (MASLD). There was consensus to change the definition to include the presence of at least 1 of 5 cardiometabolic risk factors. Those with no metabolic parameters and no known cause were deemed to have cryptogenic steatotic liver disease. A new category, outside pure metabolic dysfunction-associated steatotic liver disease, termed metabolic and alcohol related/associated liver disease (MetALD), was selected to describe those with metabolic dysfunction-associated steatotic liver disease, who consume greater amounts of alcohol per week (140-350 g/wk and 210-420 g/wk for females and males, respectively). The new nomenclature and diagnostic criteria are widely supported and non-stigmatising, and can improve awareness and patient identification., (Copyright © 2023 Mary E. Rinella, Jeffrey V. Lazarus, Vlad Ratziu, Sven M. Francque, Arun J. Sanyal, Fasiha Kanwal, Diana Romero, Manal F. Abdelmalek, Quentin M. Anstee, Juan Pablo Arab, Marco Arrese, Ramon Bataller, Ulrich Beuers, Jerome Boursier, Elisabetta Bugianesi, Christopher Byrne, Graciela E. Castro Narro, Abhijit Chowdhury, Helena Cortez-Pinto, Donna Cryer, Kenneth Cusi, Mohamed El-Kassas, Samuel Klein, Wayne Eskridge, Jiangao Fan, Samer Gawrieh, Cynthia D. Guy, Stephen A. Harrison, Seung Up Kim, Bart Koot, Marko Korenjak, Kris Kowdley, Florence Lacaille, Rohit Loomba, Robert Mitchell-Thain, Timothy R. Morgan, Elisabeth Powell, Michael Roden, Manuel Romero-Gómez, Marcelo Silva, Shivaram Prasad Singh, Silvia C. Sookoian, C. Wendy Spearman, Dina Tiniakos, Luca Valenti, Miriam B. Vos, Vincent Wai-Sun Wong, Stavra Xanthakos, Yusuf Yilmaz, Zobair Younossi, Ansley Hobbs, Marcela Villota-Rivas, Philip N. Newsome, NAFLD Nomenclature consensus group. Published by Elsevier B.V. All rights reserved.)

MicroRNA-29a (miR-29a) is a well characterized fibro-inflammatory molecule and its aberrant expression is linked to a variety of pathological liver conditions. The long-term effects of a high-fat diet (HFD) in combination with different levels of EtOH consumption on miR-29a expression and liver pathobiology are unknown. Mice at 8 weeks of age were divided into five groups (calorie-matched diet plus water (CMD) as a control group, HFD plus water (HFD) as a liver disease group, HFD plus 2% EtOH (HFD + 2% E), HFD + 10% E, and HFD + 20% E as intervention groups) and fed for 4, 13, 26, or 39 weeks. At each time point, analyses were performed for liver weight/body weight (BW) ratio, AST/ALT ratio, as well as liver histology assessments, which included inflammation, estimated fat deposition, lipid area, and fibrosis. Hepatic miR-29a was measured and correlations with phenotypic traits were determined. Four-week feeding produced no differences between the groups on all collected phenotypic traits or miR-29a expression, while significant effects were observed after 13 weeks, with EtOH concentration-specific induction of miR-29a. A turning point for most of the collected traits was apparent at 26 weeks, and miR-29a was significantly down-regulated with increasing liver injury. Overall, miR-29a up-regulation was associated with a lower liver/BW ratio, fat deposition, inflammation, and fibrosis, suggesting a protective role of miR-29a against liver disease progression. A HFD plus increasing concentrations of EtOH produces progressive adverse effects on the liver, with no evidence of beneficial effects of low-dose EtOH consumption. Moreover, miR-29a up-regulation is associated with less severe liver injury.

Background & Aims: Cardiovascular disease is the leading cause of mortality in nonalcoholic fatty liver disease (NAFLD). The aim of this study was to evaluate the effects of saroglitazar, a dual peroxisome proliferator-activated receptor α/γ agonist, on serum lipids in patients with NAFLD., Methods: A total of 221 patients (saroglitazar, 130; placebo, 91) with NAFLD from phase 2 and 3 double-blinded placebo-controlled randomized clinical trials were pooled to assess the impact of saroglitazar magnesium 4 mg on traditional lipids, very low density lipoprotein cholesterol (VLDL-C), and small dense LDL-C (sdLDL-C). Change from baseline in lipid parameters was performed by using analysis of covariance including treatment as fixed effect and baseline value, diabetes, hypertension, and statin use as covariates., Results: Treatment with saroglitazar significantly improved total cholesterol (-17 mg/dL, 95% confidence interval [CI], -24 to 9; P < .001), triglyceride (-45 mg/dL, 95% CI, -60 to 31; P < .001), low-density lipoprotein cholesterol (-8 mg/dL, 95% CI, -15 to -1; P = .01), and VLDL-C (-8 mg/dL, -14 to -3; P < .001). Saroglitazar improved serum lipids as early as 4-6 weeks of initiation of therapy, and these effects persisted for duration of therapy. Saroglitazar also improved the highly atherogenic sdLDL-C (-10 mg/dL, -17 to -2; P = .01). In subgroup analysis of patients with either diabetes or hypertension, saroglitazar significantly improved serum lipids., Conclusions: Saroglitazar improved the serum atherogenic lipoprotein profile in patients with NAFLD, irrespective of comorbid conditions and statin use. Saroglitazar has the potential to not only positively affect liver disease but also reduce cardiovascular risk in patients with NAFLD. (Trials registrations: CTRI 2015/10/006236, CTRI 173300410A0106, NCT03863574, and NCT03061721)., (Copyright © 2023 AGA Institute. Published by Elsevier Inc. All rights reserved.)

Introduction: We aimed to determine whether higher levels (volume and intensity) of physical activity (PA) and diet quality (DQ) are associated with better survival rates in nonalcoholic fatty liver disease (NAFLD)., Methods: Using data from the 2011-2014 National Health and Nutrition Examination Survey, 3,548 participants with a Fatty Liver Index ≥60 were included. PA was collected using a wrist-worn triaxial accelerometer and expressed as 2 metrics using Monitor-Independent Movement Summary (MIMS) units: the average of daily MIMS, which represents volume, and peak 30-minute MIMS, which is the average of the highest 30 MIMS min/d and represents intensity. DQ was assessed by the Healthy Eating Index-2015. Mortality follow-up was recorded using the National Death Index linkage through December 31, 2019., Results: Our analyses revealed a dose-dependent, nonlinear association of PA (volume and intensity) with all-cause mortality and a dose-dependent, linear association of DQ with all-cause mortality. The maximum protective dose of PA volume was observed at 14,300 MIMS/min (adj. HR: 0.20, 95% CI: 0.11-0.38). The maximum protective dose of PA intensity was observed at 54.25 MIMS/min (adj. HR: 0.10, 95% CI: 0.05-0.23), beyond which mortality risks flattened. The Healthy Eating Index-2015 showed its maximum protective effect at 66.17 (adj. HR: 0.54, 95% CI: 0.40-0.74). Higher PA (volume and intensity) levels were associated with a lower risk of cardiovascular-related but not cancer-related mortality. A healthier diet was linked to a reduced risk of cardiovascular-specific and cancer-specific mortality. Sensitivity analyses showed that the beneficial effects of PA and DQ on survival rates remained significant across sex, racial/ethnic, and age groups as well as in participants without NAFLD., Discussion: Our findings suggest that higher daily accumulated and peak effort PA and DQ are associated with lower all-cause and cardiovascular mortality in US adults with NAFLD., (Copyright © 2023 by The American College of Gastroenterology.)

Background Aims: The current prevalence of fatty liver disease (FLD) due to alcohol-associated (AFLD) and nonalcoholic (NAFLD) origins in US persons with HIV (PWH) is not well defined. We prospectively evaluated the burden of FLD and hepatic fibrosis in a diverse cohort of PWH., Approach Results: Consenting participants in outpatient HIV clinics in 3 centers in the US underwent detailed phenotyping, including liver ultrasound and vibration-controlled transient elastography for controlled attenuation parameter and liver stiffness measurement. The prevalence of AFLD, NAFLD, and clinically significant and advanced fibrosis was determined. Univariate and multivariate logistic regression models were used to evaluate factors associated with the risk of NAFLD. Of 342 participants, 95.6% were on antiretroviral therapy, 93.9% had adequate viral suppression, 48.7% (95% CI 43%-54%) had steatosis by ultrasound, and 50.6% (95% CI 45%-56%) had steatosis by controlled attenuation parameter ≥263 dB/m. NAFLD accounted for 90% of FLD. In multivariable analysis, old age, higher body mass index, diabetes, and higher alanine aminotransferase, but not antiretroviral therapy or CD4 + cell count, were independently associated with increased NAFLD risk. In all PWH with fatty liver, the frequency of liver stiffness measurement 8-12 kPa was 13.9% (95% CI 9%-20%) and ≥12 kPa 6.4% (95% CI 3%-11%), with a similar frequency of these liver stiffness measurement cutoffs in NAFLD., Conclusions: Nearly half of the virally-suppressed PWH have FLD, 90% of which is due to NAFLD. A fifth of the PWH with FLD has clinically significant fibrosis, and 6% have advanced fibrosis. These data lend support to systematic screening for high-risk NAFLD in PWH., (Copyright © 2023 American Association for the Study of Liver Diseases.)

Patients with end-stage liver disease exhibit progressive skeletal muscle atrophy, highlighting a negative crosstalk between the injured liver and muscle. Our study was to determine whether TGFβ ligands function as the mediators. Acute or chronic liver injury was induced by a single or repeated administration of carbon tetrachloride. Skeletal muscle injury and repair was induced by intramuscular injection of cardiotoxin. Activin type IIB receptor (ActRIIB) ligands and growth differentiation factor 8 (Gdf8) were neutralized with ActRIIB-Fc fusion protein and a Gdf8-specific antibody, respectively. We found that acute hepatic injury induced rapid and adverse responses in muscle, which was blunted by neutralizing ActRIIB ligands. Chronic liver injury caused muscle atrophy and repair defects, which were prevented or reversed by inactivating ActRIIB ligands. Furthermore, we found that pericentral hepatocytes produce excessive Gdf8 in injured mouse liver and cirrhotic human liver. Specific inactivation of Gdf8 prevented liver injury-induced muscle atrophy, similar to neutralization of ActRIIB ligands. Inhibition of Gdf8 also reversed muscle atrophy in a treatment paradigm following chronic liver injury. Direct injection of exogenous Gdf8 protein into muscle along with acute focal muscle injury recapitulated similar dysregulated muscle regeneration as that observed with liver injury. The results indicate that injured liver negatively communicate with the muscle largely via Gdf8. Unexpectedly, inactivation of Gdf8 simultaneously ameliorated liver fibrosis in mice following chronic liver injury. In vitro, Gdf8 induced human hepatic stellate (LX-2) cells to form a septa-like structure and stimulated expression of profibrotic factors. Our findings identified Gdf8 as a novel hepatomyokine contributing to injured liver-muscle negative crosstalk along with liver injury progression.

Background: Primary sclerosing cholangitis (PSC) is a rare chronic cholestatic liver disease characterized by multifocal bile duct strictures. To date, underlying molecular mechanisms of PSC remain unclear, and therapeutic options are limited., Methods: We performed cell-free messenger RNA (cf-mRNA) sequencing to characterize the circulating transcriptome of PSC and noninvasively investigate potentially bioactive signals that are associated with PSC. Serum cf-mRNA profiles were compared among 50 individuals with PSC, 20 healthy controls, and 235 individuals with NAFLD. Tissue and cell type-of-origin genes that are dysregulated in subjects with PSC were evaluated. Subsequently, diagnostic classifiers were developed using PSC dysregulated cf-mRNA genes., Results: Differential expression analysis of the cf-mRNA transcriptomes of PSC and healthy controls resulted in identification of 1407 dysregulated genes. Furthermore, differentially expressed genes between PSC and healthy controls or NAFLD shared common genes known to be involved in liver pathophysiology. In particular, genes from liver- and specific cell type-origin, including hepatocyte, HSCs, and KCs, were highly abundant in cf-mRNA of subjects with PSC. Gene cluster analysis revealed that liver-specific genes dysregulated in PSC form a distinct cluster, which corresponded to a subset of the PSC subject population. Finally, we developed a cf-mRNA diagnostic classifier using liver-specific genes that discriminated PSC from healthy control subjects using gene transcripts of liver origin., Conclusions: Blood-based whole-transcriptome cf-mRNA profiling revealed high abundance of liver-specific genes in sera of subjects with PSC, which may be used to diagnose patients with PSC. We identified several unique cf-mRNA profiles of subjects with PSC. These findings may also have utility for noninvasive molecular stratification of subjects with PSC for pharmacotherapy safety and response studies., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.)

Background and Aims: We explored 2 novel scores, Agile 3+ and 4, to identify advanced fibrosis (≥F3) and cirrhosis (F4), respectively, in NAFLD and compared their diagnostic performances to liver stiffness measurement (LSM) by vibration-controlled transient elastography and fibrosis-4 index (FIB-4) (for Agile 3+)., Approach and Results: This multicenter study included 548 NAFLD patients with laboratory testing, liver biopsy, and vibration-controlled transient elastography within 6 months. Agile 3+ and 4 were applied and compared with FIB-4 or LSM alone. Goodness of fit was evaluated using a calibration plot and discrimination using area under the receiver operating curve. Area under the receiver operating curves was compared using the Delong test. Dual cutoff approaches were applied to rule out and rule in ≥F3 and F4. Median (interquartile range) age was 58 (15) years. Median body mass index was 33.3 (8.5) kg/m2. Fifty-three percent had type 2 diabetes, 20% had F3, and 26% had F4. Agile 3+ demonstrated an area under the receiver operating curve of 0.85 (0.81; 0.88) similar to that of LSM [0.83 (0.79; 0.86), p=0.142] but significantly higher than that of FIB-4 [0.77 (0.73; 0.81), p<0.0001). Agile 4's area under the receiver operating curve [0.85 (0.81; 0.88)] was similar to that of LSM [0.85 (0.81; 0.88), p=0.065). However, the percentage of patients with indeterminate results was significantly lower with Agile scores compared with FIB-4 and LSM (Agile 3+: 14% vs. FIB-4: 31% vs. LSM: 13%, p<0.001; Agile 4: 23% vs. LSM: 38%, p<0.001)., Conclusions: Agile 3+ and 4 are novel vibration-controlled transient elastography-based noninvasive scores that increase accuracy in the identification of advanced fibrosis and cirrhosis respectively and are ideal for clinical use due to a lower percentage of indeterminant outputs compared with FIB-4 or LSM alone., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.)

Background and Aim: Data retrospective cohort studies have shown that liver stiffness measurement (LSM) by transient elastography (TE, FibroScan) can predict mortality in patients with NAFLD, however, its ability to predict mortality at a population level is unknown. We investigated the ability of LSM and controlled-attenuation parameter (CAP) by TE to predict mortality in a prospective US cohort., Approach and Results: A total of 4192 US adults aged ≥18 years enrolled in the National Health, and Nutrition Examination Survey (NHANES) (2017-2018) with reliable information on CAP and LSM by TE were included in this analysis. All-specific and cause-specific mortality were ascertained by linkage to National Death Index records through December 31, 2019. Cox models were used to estimate HR and 95% CI. During a mean follow-up of 24.4 months, there were 68 deaths (1.6%). CAP (adjusted HR: 1.01, 95% CI: 1.0-1.05), and LSM (adjusted HR: 1.06, 95% CI: 1.02-1.11) were independently associated with overall mortality. NAFLD by CAP ≥285 had a 2.2-fold (95% CI: 1.0-4.7) increased odds of mortality compared with non-NAFLD. Cumulative mortality rates were significantly higher in participants with LSM of 9.7-13.5 (advanced fibrosis) and LSM ≥13.6 (cirrhosis) as compared with LSM <9.7; p value for trend across groups <0.01. LSM ≥13.6 displayed the highest mortality risk (adjusted HR: 3.2, 95% CI: 1.3-7.8). Compared with LSM <10 [absence of advanced chronic liver disease (ACLD)], LSM 10-19.9 (likely ACLD), and ≥20 kPa (likely ACLD with clinically significant portal hypertension) conferred a 3.4-fold (95% CI: 1.0-13.8) and 5.2-fold (95% CI: 1.2-22.3) increase in hazards of mortality., Conclusions: Our study findings highlight the importance of liver health as a predictor of overall mortality at a population level., (Copyright © 2023 American Association for the Study of Liver Diseases.)

Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in persons with HIV (PWH) (HIV-NAFLD). It is unknown if HIV-NAFLD is associated with impairment in health-related quality of life (HRQOL). We examined HRQOL in PWH with and without NAFLD, compared HRQOL in HIV- versus primary NAFLD, and determined factors associated with HRQOL in these groups. Prospectively enrolled 200 PWH and 474 participants with primary NAFLD completed the Rand SF-36 assessment which measures 8 domains of HRQOL. Individual domain scores were used to create composite physical and mental component summary scores. Univariate and multivariate analyses determined variables associated with HRQOL in PWH and in HIV- and primary NAFLD. In PWH, 48% had HIV-NAFLD, 10.2% had clinically significant fibrosis, 99.5% were on antiretroviral therapy, and 96.5% had HIV RNA <200 copies/ml. There was no difference in HRQOL in PWH with or without NAFLD. Diabetes, non-Hispanic ethnicity, and nadir CD4 counts were independently associated with impaired HRQOL in PWH. In HIV-NAFLD, HRQOL did not differ between participants with or without clinically significant fibrosis. Participants with HIV-NAFLD compared to those with primary NAFLD were less frequently cisgender females, White, more frequently Hispanic, had lower BMI and lower frequency of obesity and diabetes. HRQOL of individuals with HIV-NAFLD was not significantly different from those with primary NAFLD. In conclusion, in virally suppressed PWH, HRQOL is not different between participants with or without HIV-NAFLD. HRQOL is not different between HIV-NAFLD and primary NAFLD., Competing Interests: Dr. Gawrieh consulting: TransMedics, Pfizer. Research grant support: Cirius, Galmed, Viking and Zydus. Dr. Corey serves on the scientific advisory board for Theratechnologies, Novo Nordisk and BMS and has received grant funding from Boehringer-Ingelheim, BMS and Novartis, Dr. Lake receives research support from Gilead Sciences and Zydus. In the past 12 months she has received research support from Pfizer, CytoDyn, and Oncoimmune, and has served as a consultant to Merck and Theratechnologies, Dr. Samala, Dr. Desai, Dr. Debroy, Ms.Sjoquist, Ms. Robison, Ms. Bhamidipalli, Dr. Saha, Dr. Zachary, Dr. Akisik, and Dr. Tann have nothing to disclose. Dr. Robbin has served as a consultant for SEED , Dr. Gupta reports consultancy/advisory fees from Gilead Sciences, Inc. and ViiV Healthcare and research support from the NIH, Indiana University School of Medicine, and ViiV HealthCare, Dr. Chung has received research grant support (to institution) from Boehringer Ingelheim, BMS, Roche, Gilead, Janssen, and GSK , Dr. Chalasani has ongoing research support from Eli Lilly, Galectin Therapeutics, Intercept, and Exact Sciences, In the past 12 months, he has received consulting fees from Abbvie, Madrigal, Nusirt, Allergan, Siemens, Genentech, Zydus, La Jolla, Axcella, Foresite Labs, and Galectin Therapeutics. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2023 Gawrieh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Mortality is high for severe alcohol-associated hepatitis (AH). Corticosteroids are the standard of care for patients without contraindications. Recent data showed that interleukin-1β receptor antagonist anakinra attenuated inflammation and liver damage. We designed a multicenter, double-blind, randomized controlled trial to assess the safety and efficacy of anakinra compared to prednisone., Methods: Patients meeting the clinical and biochemical criteria for severe AH with MELD scores between 20 and 35 were recruited at eight clinical sites. Eligible patients enrolled in the study were randomized to anakinra, 100 mg subcutaneous injection for 14 days, plus zinc sulfate 220 mg for 90 days, vs. prednisone 40 mg PO daily for 30 days. Matching placebos for anakinra, zinc, and prednisone were provided to mask the treatment. Participants were followed for 180 days. The primary outcome was overall survival at 90 days. An unadjusted log-rank test was used to compare the survival of the two treatments in the first 90 days. Between July 10, 2020, and March 4, 2022, we screened 1082 patients with severe AH, and 147 eligible patients were enrolled and randomized. The average baseline MELD score was 25 [range 20-35], Maddrey discriminant function (MDF) was 59.4 [range 20.2-197.5]. The mean aspartate transaminase (AST)-to-alanine transaminase (ALT) ratio was 3.5. The baseline characteristics were not statistically different between the two treatment groups., Conclusions: The study provided a direct comparison of the survival benefits and safety profiles of anakinra plus zinc vs. prednisone in patients with severe AH., Competing Interests: Dr. Samer Gawrieh provides consulting services to TransMedics and Pfizer and he receives research grant support from Cirius, Viking, and Zydus. Dr. Vijay Shah serves on Advisory boards of Akaza Bioscience Ltd, AgomAb Therapeutics, Generon Shanghai, Intercept Pharmaceuticals, Inc, Mallinckrodt Pharmaceuticals, and Surrozen. He provides consulting services Ambys Medicines, Durect Corporation, HepaRegeniX, and Novartis Pharma AG. Dr. Mack Mitchell owns stocks in Amygdala Neuroscience and Advisory at Prodigy Biotech. Dr. Douglass Simonetto provides consulting services to BioVie and Mallinckrodt. Dr. Wanzhu Tu provides consulting services to Bayer. Dr. Gyongyi Szabo provides consulting services to Alnylam, Duret, Generon, Glympse Bio, Novartis, Quest Diagnostics, Surrozen, Terra Firma, and Zomagen. Dr. Arun Sanyal owns stocks in Sanyal Bio, Exhalenz, Conatus, Genfit, Duret, Indalo, and Tiziana. He provides consulting services to Conatus, Genfit, Gilead, Mallinckrodt Pharmaceuticals, Pfizer, BI, Novartis, Merck, Lilly, Novo Nordisk, Terns, Albireo, Sanofi, Jannsen, Takeda, Northsea, Poxel, 89Bio, NGM Bio, Amgen, Genentech, Roche, Madrigal, Inventiva, Covance, Prosciento, Histoindex, PathAI, and Biocellvia. Other authors declared no conflicts of interest., (© 2023 Published by Elsevier Inc.)

Pathogenesis roles of phospholipids (PLs) in nonalcoholic fatty liver disease (NAFLD) remain incompletely understood. This study investigated the role of PLs in the progression of NAFLD among obese individuals via studying the alterations in serum PL composition throughout the spectrum of disease progression and evaluating the effects of specific phosphatidylethanolamines (PEs) on FLD development in vitro. A total of 203 obese subjects, who were undergoing bariatric surgery, were included in this study. They were histologically classified into 80 controls (C) with normal liver histology, 93 patients with simple hepatic steatosis (SS), 16 with borderline nonalcoholic steatohepatitis (B-NASH) and 14 with progressive NASH (NASH). Serum PLs were profiled by automated electrospray ionization tandem mass spectrometry (ESI-MS/MS). HepG2 (hepatoma cells) and LX2 (immortalized hepatic stellate cells or HSCs) were used to explore the roles of PL in NAFLD/NASH development. Several PLs and their relative ratios were significantly associated with NAFLD progression, especially those involving PE. Incubation of HepG2 cells with two phosphatidylethanolamines (PEs), PE (34:1) and PE (36:2), resulted in significant inhibition of cell proliferation, reduction of mitochondrial mass and membrane potential, induction of lipid accumulation and mitochondrial ROS production. Meanwhile, treatment of LX2 cells with both PEs markedly increased cell activation and migration. These effects were associated with a significant change in the expression levels of genes involved in lipogenesis, lipid oxidation, autophagy, apoptosis, inflammation, and fibrosis. Thus, our study demonstrated that elevated level of PEs increases susceptibility to the disease progression of obesity associated NAFLD, likely through a causal cascade of impacts on the function of different liver cells.

Introduction: To gain insights into the mechanisms underlying distinct nonalcoholic fatty liver disease (NAFLD) histological phenotypes between children and adults, we compared hepatic gene expression profiles associated with NAFLD phenotypes between the two age groups., Methods: Histological characteristics of intra-operative liver biopsies from adolescents and adults undergoing bariatric surgery were assessed by the same pathologist using the non-alcoholic steatohepatitis (NASH) Clinical Research Network scoring system. Hepatic gene expression was measured by microarray analysis. Transcriptomic signatures of histological phenotypes between the two groups were compared, with significance defined as p-value <0.05 and a fold change >1.5., Results: In 67 adolescents and 76 adults, distribution of histological phenotypes was: not-NAFLD (controls) 51% vs 39%, NAFL 39% vs 37%, and NASH 10% vs 24%, respectively. There were 279 differentially expressed genes in adolescents and 213 in adults with NAFLD vs controls. In adolescents, transcriptomes for NAFL vs controls, and borderline vs definite NASH were undifferentiable, whereas in adults, NAFL and borderline NASH demonstrated a transcriptomic gradient between controls and definite NASH. When applied to adolescents, significant adult genes discriminated borderline and definite NASH from control and NAFL, but the majority of significant pediatric genes were not portable to adults. Genes associated with NASH in adolescents and adults showed some ontological consistency but notable differences., Conclusions: There is some similarity but major differences in the transcriptomic profiles associated with NAFLD between adolescents and adults with severe obesity. These data suggest different mechanisms contribute to the pathogenesis of NAFLD severity at different stages in life.

Background & Aims: The population prevalence of high-risk non-alcoholic steatohepatitis (NASH), defined as nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage ≥2, is unknown. The FibroScan-AST (FAST) score, calculated using liver stiffness measurement and controlled attenuation parameter values from FibroScan and aspartate aminotransferase levels, is a validated algorithm to identify individuals with high-risk NASH. We estimated the prevalence of high-risk NASH using the FAST score in the United States population., Methods: Data were derived from the National Health and Nutrition Examination Surveys 2017-2018, which included a total of 4218 adults with valid elastography measurements. FAST scores of ≥0.35 (sensitivity, 90%) and ≥0.67 (specificity, 90%) were used to identify adults with high-risk NASH in the general population., Results: At 90% sensitivity for the FAST score, the prevalence of age-adjusted high-risk NASH was 5.8% and was higher among men (8.2% vs 3.6% in women) and in Hispanics (9.2% vs. 5.8% non-Hispanic (N.H.) Asians, 5.2% in N.H. whites, and 3.8% in N.H. blacks). The prevalence of high-risk NASH was 11.7% in those with metabolic syndrome and 22.5% in individuals with type 2 diabetes mellitus (T2DM). At 90% specificity for the FAST score, the prevalence of age-adjusted high-risk NASH was 1.2% and was higher among men (1.7% vs 0.8% in women) and in Hispanics (2.2% vs 1.0% in N.H. Asians, 0.9% in N.H. whites, and 0.4% in N.H. blacks). The prevalence of high-risk NASH was 3.4% in those with metabolic syndrome and 8.7% in adults with T2DM., Conclusions: We estimate at least 2 million adults have high-risk NASH in the United States. Moreover, the prevalence of high-risk NASH among individuals with T2DM is higher, ranging between 8.7% and 22.5%, supporting the case for coordinated case-finding and management., (Copyright © 2023 AGA Institute. Published by Elsevier Inc. All rights reserved.)

Background and Aims: The effects of diet quality (DQ), physical activity (PA), and socioeconomic status (SES) on the risk of NAFLD are unclear. We examined the association among DQ, PA, SES, and NAFLD risk., Approach and Results: This is a cross-sectional analysis of the National Health and Nutrition Examination Surveys, 2017-2018, which included 3589 participants with reliable information on vibration-controlled transient elastography (VCTE) measurements, 24-h dietary recalls, PA, and SES. DQ was assessed by the Healthy Eating Index (HEI)-2015. PA was determined by the Global Physical Activity Questionnaire. SES was assessed by the educational attainment and family poverty income ratio (PIR). Risk of NAFLD was considered by means of a composite outcome using VCTE measurements: non-NAFLD versus NAFLD without clinically significant fibrosis (CSF) versus NAFLD with CSF. The NAFLD risk was lower in physically active (≥600 metabolic equivalent of task [MET] min/week) versus inactive participants (<600 MET min/week) (OR: 0.71, p = 0.043). A high-quality diet (HQD) (HEI > 56.64) was associated with a lower risk of NAFLD (OR: 0.58, p < 0.01) compared with a non-HQD. The lowest NAFLD risk was observed in those physically active with HQD (OR: 0.43, p < 0.01). Body mass index and waist circumference significantly mediated the effect of DQ and PA on NAFLD risk. Education (college or above) (OR: 0.65, p = 0.034), but not PIR, was associated with a reduced NAFLD risk. HQD and increased PA partially mediated the effect of education on NAFLD risk. The total effect of education on NAFLD risk mediated by DQ was 29% and by PA was 8%., Conclusions: HQD, increased physical activity, and college education were associated with lower NAFLD risk in the US population., (© 2021 American Association for the Study of Liver Diseases.)

Differences in mortality between critically ill patients with severe alcohol-associated hepatitis (sAH) and acute-on-chronic liver failure (ACLF) and non-sAH ACLF (i.e., ACLF not precipitated by sAH) are unknown. Such differences are important, as they may inform on prognosis and optimal timing of liver transplantation (LT). Thus, we aimed to compare short-term and longer-term mortality between patients with sAH ACLF and patients with non-sAH ACLF who were admitted to the intensive care unit. Patients with ACLF admitted from 2016-2018 at two tertiary care intensive care units were analyzed. SAH was defined by the National Institute on Alcohol Abuse and Alcoholism's Alcoholic Hepatitis Consortium and Model for End-Stage Liver Disease score >20. Mortality without LT was compared between sAH ACLF and non-sAH ACLF using Fine and Gray's competing-risks regression. A total of 463 patients with ACLF (18% sAH and 82% non-sAH) were included. Compared to patients with non-sAH ACLF, patients with sAH ACLF were younger (49 vs. 56 years; P < 0.001) and had higher admission Model for End-Stage Liver Disease (MELD) (35 vs. 25; P < 0.001) and Chronic Liver Failure Consortium (CLIF-C) scores (61 vs. 57; P = 0.002). There were no significant differences between the two groups for vasopressor, mechanical ventilation, and hemodialysis use. The cumulative incidence of death was significantly higher in patients with sAH ACLF compared to patients with non-sAH ACLF: 30-day 74.7% versus 45.3%; 90-day 81.9% versus 57.4%; 180-day 83.2% versus 63.0% (unadjusted subdistribution hazard ratio [sHR] 1.88 [95% confidence interval (CI) 1.44-2.46]; P < 0.001). After adjusting for CLIF-C score and infection in a multivariable competing-risk model, patients with sAH ACLF had significantly higher risk of death (sHR 1.57 [95% CI 1.20-2.06]; P = 0.001) compared to patients with non-sAH ACLF. Conclusion: Critically ill patients with sAH ACLF have worse mortality compared to patients with non-sAH ACLF. These data may inform prognosis in patients with sAH and ACLF, and early LT referral in potentially eligible patients., (© 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases.)

Background and Aims: Management of patients with NASH who are at elevated risk of progressing to complications of cirrhosis (at-risk NASH) would be enhanced by an accurate, noninvasive diagnostic test. The new FAST™ score, a combination of FibroScan® parameters liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) and aspartate aminotransferase (AST), has shown good diagnostic accuracy for at-risk NASH (area-under-the-Receiver-Operating-Characteristic [AUROC] = 0.80) in European cohorts. We aimed to validate the FAST™ score in a North American cohort and show how its diagnostic accuracy might vary by patient mix. We also compared the diagnostic performance of FAST™ to other non-invasive algorithms for the diagnosis of at-risk NASH., Methods: We studied adults with biopsy-proven non-alcoholic fatty liver disease (NAFLD) from the multicenter NASH Clinical Research Network (CRN) Adult Database 2 (DB2) cohort study. At-risk-NASH was histologically defined as definite NASH with a NAFLD Activity Score (NAS) ≥ 4 with at least 1 point in each category and a fibrosis stage ≥ 2. We used the Echosens® formula for FAST™ from LSM (kPa), CAP (dB/m), and AST (U/L), and the FAST™-based Rule-Out (FAST™ ≤ 0.35, sensitivity = 90%) and Rule-In (FAST™ ≥ 0.67, specificity = 90%) zones. We determined the following diagnostic performance measures: AUROC, sensitivity (Se), specificity (Sp), positive predictive value (PPV), and negative predictive value (NPV); these were calculated for the total sample and by subgroups of patients and by FibroScan® exam features. We also compared the at-risk NASH diagnostic performance of FAST™ to other non-invasive algorithms: NAFLD fibrosis score (NFS), Fibrosis-4 (FIB-4) index, and AST to platelet ratio index (APRI)., Results: The NASH CRN population of 585 patients was 62% female, 79% white, 14% Hispanic, and 73% obese; the mean age was 51 years. The mean (SD) AST and ALT were 50 (37) U/L and 66 (45) U/L, respectively. 214 (37%) had at-risk NASH. The AUROC of FAST™ for at-risk NASH in the NASH CRN study population was 0.81 (95% CI: 0.77, 0.84. Using FAST™-based cut-offs, 35% of patients were ruled-out with corresponding NPV = 0.90 and 27% of patients were ruled-in with corresponding PPV = 0.69. The diagnostic accuracy of FAST™ was higher in non-whites vs. whites (AUROC: 0.91 vs 0.78; p = 0.001), and in patients with a normal BMI vs. BMI > 35 kg/m2 (AUROC: 0.94 vs 0.78, p = 0.008). No differences were observed by other patient characteristics or FibroScan® exam features. The FAST™ score had higher diagnostic accuracy than other non-invasive algorithms for the diagnosis of at-risk NASH (AUROC for NFS, FIB-4, and APRI 0.67, 0.73, 0.74, respectively)., Conclusion: We validated the FAST™ score for the diagnosis of at-risk NASH in a large, multi-racial population in North America, with a prevalence of at-risk NASH of 37%. Diagnostic performance varies by subgroups of NASH patients defined by race and obesity. FAST™ performed better than other non-invasive algorithms for the diagnosis of at-risk NASH., Competing Interests: Dr. Manal Abdelmalek: None for this project. Dr. Abdelmalek has served as a consultant to Merck, Bristol Myers Squibb, Novartis, Novo Nordisk, Hanmi, TaiwanJ, Madrigal and NGM Bio. Her institution has received grant support from Allergan, Intercept, Boehringer-Ingelheim, Bristol Myers Squibb, Madrigal, Novo Nordisk, NGM Bio, Novartis, Viking, Hanmi, TARGET NASH, Celgene, and Genentech. She receives royalties from Elsevier and Up-to-Date Dr. Cynthia Behling: Dr. Behling is a consultant for ICON, COVANCE, Eli Lilly, Hologic, and Leica outside the submitted work. Dr. Naga Chalasani: There are none for this paper. For full disclosure, Dr. Chalasani has ongoing consulting activities (or had in preceding 12 months) with Abbvie, Madrigal, Zydus, Galectin, Boehringer-Ingelheim, Altimmune, and Foresite. These consulting activities are generally in the areas of nonalcoholic fatty liver disease and drug hepatotoxicity. Dr. Chalasani has equity in RestUp, a home health care provider agency. Dr. Chalasani receives research grant support from DSM and Exact Sciences where his institution receives the funding. Dr. Anna Mae Diehl: Dr. Diehl has consulted for Allergan, Alderya Therapeutics, Boehringer-Ingelheim, Celgene, Filcitrine, IBM Watson Health, Lumena, Merk, Novartis, Pfizer, Pliant, Roche, Quest Diagnostics, and twoXAR. She has research collaborations with Allergan, Boehringer-Ingelheim, Bristol Myers Squibb, Conatus, Exalenze, Galactin, Galmed, Genfit, Gilead, Hanmi, Hi La, Immuron, Intercept, Madrigal Metabolomics, NGM Pharmaceuticals, Prometheus, and Shire. Dr. Samer Gawrieh: Dr. Gawrieh has consulted for TransMedics and Pfizer and received research grant support from Cirius, Galmed, Viking, Zydus and Sonic Incytes. Dr. Kris Kowdley: Dr. Kowdley has consulted for Akero, Calliditas, Corcept, CymaBay, Enanta, Genfit, Gilead, HighTide, Inipharm and Intercept. His institution has received grant and research support from Allergan, Enanta, Galectin, Gilead, Immuron, Intercept, Novartis, Prometheus, and Zydus. Dr. Kowdley is on the Advisory Board for Conatus and Gilead, and is on the Speaker Bureau for Abbvie, Gilead and Intercept. Dr. Rohit Loomba: There are none for this paper. Dr. Loomba serves as a consultant or advisory board member for 89bio, Alnylam, Arrowhead Pharmaceuticals, AstraZeneca, Boehringer Ingelheim, Bristol-Myer Squibb, Cirius, CohBar, DiCerna, Galmed, Gilead, Glympse bio, Intercept, Ionis, Metacrine, NGM Biopharmaceuticals, Novo Nordisk, Pfizer, Sagimet and Viking Therapeutics. In addition, his institution has received grant support from Allergan, Boehringer-Ingelheim, Bristol-Myers Squibb, Eli Lilly and Company, Galmed Pharmaceuticals, Genfit, Gilead, Intercept, Inventiva, Janssen, Madrigal Pharmaceuticals, NGM Biopharmaceuticals, Novartis, Pfizer, pH Pharma, and Siemens. He is also co-founder of Liponexus, Inc. Dr. Loomba receives funding support from NIEHS (5P42ES010337), NCATS (5UL1TR001442), NIDDK (R01DK106419, 1R01DK121378, R01 DK124318, P30DK120515), and DOD PRCRP (CA170674P2). Dr. Brent Neuschwander-Tetri: None for the project. Consultant or advisor for Akero, Alimentiv, Allergan, Alnylam, Amgen, Arrowhead, Axcella, Boehringer Ingelheim, BMS, Durect, Enanta, Fortress, Gelesis, Genfit, Gilead, HepGene, High Tide, HistoIndex, Intercept, Ionis, LG Chem, Lipocine, Madrigal, Medimmune, Merck, Mirum, NGM, NovoNordisk, pH-Pharma, Sagimet, Siemens, Theratechnologies, 89Bio; Institutional research grants: Allergan, BMS, Cirius, Enanta, Genfit, Gilead, Intercept, Madrigal, NGM Dr. Arun Sanyal: None for this project. Dr. Sanyal is President of Sanyal Biotechnology and has stock options in Genfit, Akarna, Tiziana, Indalo, Durect Inversago and Galmed. He has served as a consultant to Astra Zeneca, Nitto Denko, Conatus, Nimbus, Salix, Tobira, Takeda, Jannsen, Gilead, Terns, Birdrock, Merck, Valeant, Boehringer-Ingelheim, Bristol Myers Squibb, Lilly, Hemoshear, Zafgen, Novartis, Novo Nordisk, Pfizer, Exhalenz and Genfit. He has been an unpaid consultant to Intercept, Echosens, Immuron, Galectin, Fractyl, Syntlogic, Affimune, Chemomab, Zydus, Nordic Bioscience, Albireo, Prosciento, Surrozen. His institution has received grant support from Gilead, Salix, Tobira, Bristol Myers, Shire, Intercept, Merck, Astra Zeneca, Malinckrodt, Cumberland and Novartis. He receives royalties from Elsevier and UptoDate. Dr. Mohammad Siddiqui: Dr. Siddiqui is a consultant for Pfizer and is on an advising board for AMRA. Dr. Norah Terrault: Dr. Terrault received institutional grant support from Gilead Sciences, Roche-Genentech and GSK, and consulting for Gilead Sciences, Saol Therapeutics and Moderna. Dr. Raj Vuppalanchi: Dr. Vuppalanchi received a one-time consultant fee from EchoSens on spleen stiffness measurement. No conflicts of interest: Jeanne Clark, Srinivasan Dasarathy, Mark Fishbein, Paula Hertel, David Kleiner, Arunkumar Krishnan, Mariana Lazo, Arthur McCullough, Laura Miriel, Emily Mitchell, James Tonascia, Mark Van Natta, Laura Wilson, Tinsay Woreta This does not alter our adherence to PLOS ONE policies on sharing data and materials.