LECT2, a Ligand for Tie1, Plays a Crucial Role in Liver Fibrogenesis.

Liver fibrosis is a very common condition seen in millions of patients with various liver diseases, and yet no effective treatments are available owing to poorly characterized molecular pathogenesis. Here, we show that leukocyte cell-derived chemotaxin 2 (LECT2) is a functional ligand of Tie1, a poorly characterized endothelial cell (EC)-specific orphan receptor. Upon binding to Tie1, LECT2 interrupts Tie1/Tie2 heterodimerization, facilitates Tie2/Tie2 homodimerization, activates PPAR signaling, and inhibits the migration and tube formations of EC. In vivo studies showed that LECT2 overexpression inhibits portal angiogenesis, promotes sinusoid capillarization, and worsens fibrosis, whereas these changes were reversed in Lect2-KO mice. Adeno-associated viral vector serotype 9 (AAV9)-LECT2 small hairpin RNA (shRNA) treatment significantly attenuates fibrosis. Upregulation of LECT2 is associated with advanced human liver fibrosis staging. We concluded that targeting LECT2/Tie1 signaling may represent a potential therapeutic target for liver fibrosis, and serum LECT2 level may be a potential biomarker for the screening and diagnosis of liver fibrosis.

FOXS1 is increased in liver fibrosis and regulates TGFß responsiveness and proliferation pathways in human hepatic stellate cells.

Liver fibrosis commences with liver injury stimulating transforming growth factor beta (TGFß) activation of hepatic stellate cells (HSCs), causing scarring and irreversible damage. TGFß induces expression of the transcription factor Forkhead box S1 (FOXS1) in hepatocytes and may have a role in the pathogenesis of hepatocellular carcinoma (HCC). To date, no studies have determined how it affects HSCs. We analyzed human livers with cirrhosis, HCC, and a murine fibrosis model and found that FOXS1 expression is significantly higher in fibrotic livers but not in HCC. Next, we treated human LX2 HSC cells with TGFß to activate fibrotic pathways, and FOXS1 mRNA was significantly increased. To study TGFß-FOXS1 signaling, we developed human LX2 FOXS1 CRISPR KO and scrambled control HSCs. To determine differentially expressed gene transcripts controlled by TGFß-FOXS1, we performed RNA-seq in the FOXS1 KO and control cells and over 400 gene responses were attenuated in the FOXS1 KO HSCs with TGFß-activation. To validate the RNA-seq findings, we used our state-of-the-art PamGene PamStation kinase activity technology that measures hundreds of signaling pathways nonselectively in real time. Using our RNA-seq data, kinase activity data, and descriptive measurements, we found that FOXS1 controls pathways mediating TGFß responsiveness, protein translation, and proliferation. Our study is the first to identify that FOXS1 may serve as a biomarker for liver fibrosis and HSC activation, which may help with early detection of hepatic fibrosis or treatment options for end-stage liver disease.

Hepatorenal Syndrome in Cirrhosis.

Hepatorenal syndrome (HRS) is a form of kidney dysfunction that characteristically occurs in liver cirrhosis. It is characterized by a marked impairment of kidney function in response to circulatory and hemodynamic alterations that occur in advanced stages of liver cirrhosis, aggravated by systemic inflammation and bacterial translocation. The classical definitions of the types of HRS have been recently revisited and 2 forms of HRS have been redefined: the acute form, referred to as acute kidney injury (HRS-AKI), and the chronic form, referred to as chronic kidney disease. HRS-AKI is one of the most severe forms of AKI in patients with cirrhosis and it consists of an abrupt impairment of kidney function, frequently triggered by an infection, appearing in the setting of advanced decompensated cirrhosis. Differential diagnosis with other causes of AKI is crucial because HRS-AKI requires a specific treatment. Differential diagnosis with AKI-acute tubular necrosis may be challenging and kidney biomarkers may be useful in this setting. Treatment of HRS-AKI is based on the administration of vasoconstrictor drugs in combination with volume expansion with albumin. Prognosis of HRS-AKI is poor, and the ideal definitive treatment consists of liver transplantation or simultaneous liver-kidney transplantation. HRS-AKI has a big impact on patients' quality of life. Management of HRS-AKI remains challenging in specific situations such as alcohol-associated hepatitis or metabolic-associated steatotic liver disease cirrhosis. Developing preventive measures for HRS-AKI, improving its early identification, discovering new biomarkers for differential diagnosis, and improving the response to therapy are some of the unmet needs in the field of HRS-AKI.

Impact of Longitudinal Alcohol Use Patterns on Long-Term Risk of Cirrhosis Among US Veterans With Steatotic Liver Disease.

BACKGROUND & AIMS: Conflicting data exist on the impact of alcohol use on risk of liver disease progression in patients with steatotic liver disease. We aimed to evaluate the effect of longitudinal alcohol use on risk of cirrhosis among veterans with steatotic liver disease. METHODS: US veterans with steatotic liver disease were identified from January 2010 through December 2022. Alcohol use was assessed using documented Alcohol Use Disorders Identification Test-Concise (AUDIT-C) scores and categorized as no alcohol (AUDIT-C = 0), low-risk alcohol use (AUDIT-C 1-2 for women and 1-3 for men), and high-risk alcohol (AUDIT-C ≥ 3 for women and ≥ 4 for men). Incidence of cirrhosis was evaluated with competing risks Nelson-Aalen methods. Adjusted multivariable regression models evaluated risks of cirrhosis associated with baseline alcohol use and changes in alcohol use during follow-up. RESULTS: There were 1,156,189 veterans with steatotic liver disease identified (54.2% no alcohol, 34.6% low-risk alcohol, and 11.2% high-risk alcohol). Veterans with steatotic liver disease and high-risk alcohol have a 43% higher incidence of cirrhosis compared with patients reporting no alcohol use. Compared with patients with baseline high-risk alcohol who reported no change in alcohol use, those who decreased their alcohol use during follow-up experienced a 39% reduction in long-term risk of cirrhosis (hazard ratio, 0.61; 95% CI, 0.45-0.83; P < .01). CONCLUSIONS: One in 9 veterans with steatotic liver disease report concurrent high-risk alcohol use, which is associated with 43% greater risk of cirrhosis compared with no alcohol use. However, reducing alcohol use lowers risk of cirrhosis, emphasizing the importance of timely alcohol use assessment and early interventions to address high-risk alcohol use in steatotic liver disease.

Metabolic Dysfunction-Associated Fibrosis 5 (MAF-5) Score Predicts Liver Fibrosis Risk and Outcome in the General Population With Metabolic Dysfunction.

BACKGROUND & AIMS: There is an unmet need for noninvasive tests to improve case-finding and aid primary care professionals in referring patients at high risk of liver disease. METHODS: A metabolic dysfunction-associated fibrosis (MAF-5) score was developed and externally validated in a total of 21,797 individuals with metabolic dysfunction in population-based (National Health and Nutrition Examination Survey 2017-2020, National Health and Nutrition Examination Survey III, and Rotterdam Study) and hospital-based (from Antwerp and Bogota) cohorts. Fibrosis was defined as liver stiffness ≥8.0 kPa. Diagnostic accuracy was compared with FIB-4, nonalcoholic fatty liver disease fibrosis score (NFS), LiverRisk score and steatosis-associated fibrosis estimator (SAFE). MAF-5 was externally validated with liver stiffness measurement ≥8.0 kPa, with shear-wave elastography ≥7.5 kPa, and biopsy-proven steatotic liver disease according to Metavir and Nonalcoholic Steatohepatitis Clinical Research Network scores, and was tested for prognostic performance (all-cause mortality). RESULTS: The MAF-5 score comprised waist circumference, body mass index (calculated as kg / m2), diabetes, aspartate aminotransferase, and platelets. With this score, 60.9% was predicted at low, 14.1% at intermediate, and 24.9% at high risk of fibrosis. The observed prevalence was 3.3%, 7.9%, and 28.1%, respectively. The area under the receiver operator curve of MAF-5 (0.81) was significantly higher than FIB-4 (0.61), and outperformed the FIB-4 among young people (negative predictive value [NPV], 99%; area under the curve [AUC], 0.86 vs NPV, 94%; AUC, 0.51) and older adults (NPV, 94%; AUC, 0.75 vs NPV, 88%; AUC, 0.55). MAF-5 showed excellent performance to detect liver stiffness measurement ≥12 kPa (AUC, 0.86 training; AUC, 0.85 validation) and good performance in detecting liver stiffness and biopsy-proven liver fibrosis among the external validation cohorts. MAF-5 score >1 was associated with increased risk of all-cause mortality in (un)adjusted models (adjusted hazard ratio, 1.59; 95% CI, 1.47-1.73). CONCLUSIONS: The MAF-5 score is a validated, age-independent, inexpensive referral tool to identify individuals at high risk of liver fibrosis and all-cause mortality in primary care populations, using simple variables.

Diagnostic Prediction of portal vein thrombosis in chronic cirrhosis patients using data-driven precision medicine model.

BACKGROUND: Portal vein thrombosis (PVT) is a significant issue in cirrhotic patients, necessitating early detection. This study aims to develop a data-driven predictive model for PVT diagnosis in chronic hepatitis liver cirrhosis patients. METHODS: We employed data from a total of 816 chronic cirrhosis patients with PVT, divided into the Lanzhou cohort (n = 468) for training and the Jilin cohort (n = 348) for validation. This dataset encompassed a wide range of variables, including general characteristics, blood parameters, ultrasonography findings and cirrhosis grading. To build our predictive model, we employed a sophisticated stacking approach, which included Support Vector Machine (SVM), Naïve Bayes and Quadratic Discriminant Analysis (QDA). RESULTS: In the Lanzhou cohort, SVM and Naïve Bayes classifiers effectively classified PVT cases from non-PVT cases, among the top features of which seven were shared: Portal Velocity (PV), Prothrombin Time (PT), Portal Vein Diameter (PVD), Prothrombin Time Activity (PTA), Activated Partial Thromboplastin Time (APTT), age and Child-Pugh score (CPS). The QDA model, trained based on the seven shared features on the Lanzhou cohort and validated on the Jilin cohort, demonstrated significant differentiation between PVT and non-PVT cases (AUROC = 0.73 and AUROC = 0.86, respectively). Subsequently, comparative analysis showed that our QDA model outperformed several other machine learning methods. CONCLUSION: Our study presents a comprehensive data-driven model for PVT diagnosis in cirrhotic patients, enhancing clinical decision-making. The SVM-Naïve Bayes-QDA model offers a precise approach to managing PVT in this population.

Comparison of 6 tests for diagnosing minimal hepatic encephalopathy and predicting clinical outcome: A prospective, observational study.

BACKGROUND AND AIMS: Current guidelines recommend the assessment for minimal HE in patients with liver cirrhosis. Various efforts were made to find tools that simplify the diagnosis. Here, we compare the 6 most frequently used tests for their validity and their predictive value for overt hepatic encephalopathy (oHE), rehospitalization, and death. APPROACH AND RESULTS: One hundred thirty-two patients with cirrhosis underwent the Portosystemic Encephalopathy-Syndrome-Test yielding the psychometric hepatic encephalopathy score (PHES), Animal Naming Test (ANT), Critical Flicker Frequency (CFF), Inhibitory Control Test (ICT), EncephalApp (Stroop), and Continuous Reaction Time Test (CRT). Patients were monitored for 365 days regarding oHE development, rehospitalization, and death. Twenty-three patients showed clinical signs of HE grade 1-2 at baseline. Of the remaining 109 neurologically unimpaired patients, 35.8% had abnormal PHES and 44% abnormal CRT. Percentage of abnormal Stroop (79.8% vs. 52.3%), ANT (19.3% vs. 51.4%), ICT (28.4% vs. 36.7%), and CFF results (18.3% vs. 25.7%) changed significantly when adjusted norms were used for evaluation instead of fixed cutoffs. All test results correlated significantly with each other ( p <0.05), except for CFF. During follow-up, 24 patients developed oHE, 58 were readmitted to the hospital, and 20 died. Abnormal PHES results were linked to oHE development in the multivariable model. No other adjusted test demonstrated predictive value for any of the investigated endpoints. CONCLUSIONS: Where applicable, the diagnosis of minimal HE should be made based on adjusted norm values for the tests, exclusively. The minimal HE tests cannot be equated with one another and have an overall limited value in predicting clinical outcomes.

Determinants of clinical response to empirical antibiotic treatment in patients with cirrhosis and bacterial and fungal infections-Results from the ICA "Global Study" (EABCIR-Global Study).

BACKGROUND: The administration of an appropriate empirical antibiotic treatment is essential in cirrhosis and severe bacterial infections. We aimed to investigate the predictors of clinical response of empirical antibiotic treatment in a prospective cohort of patients with cirrhosis and bacterial and fungal infections included in the International Club of Ascites "Global Study." METHODS: Patients hospitalized with cirrhosis and bacterial/fungal infection were prospectively enrolled at 46 centers. Clinical response to antibiotic treatment was defined according to changes in markers of infection/inflammation, vital signs, improvement of organ failure, and results of cultures. RESULTS: From October 2015 to September 2016, 1302 patients were included at 46 centers. A clinical response was achieved in only 61% of cases. Independent predictors of lack of clinical response to empirical treatment were C-reactive protein (OR = 1.16; 95% CI = 1.02-1.31), blood leukocyte count (OR = 1.39;95% CI = 1.09-1.77), serum albumin (OR = 0.70; 95% CI = 0.55-0.88), nosocomial infections (OR = 1.96; 95% CI = 1.20-2.38), pneumonia (OR = 1.75; 95% CI = 1.22-2.53), and ineffective treatment according to antibiotic susceptibility test (OR = 5.32; 95% CI = 3.47-8.57). Patients with a lack of clinical response to first-line antibiotic treatment had a significantly lower resolution rate of infections (55% vs. 96%; p < 0.001), a higher incidence of second infections (29% vs. 15%; p < 0.001), shock (35% vs. 7%; p < 0.001) and new organ failures (52% vs. 19 %; p < 0.001) than responders. Clinical response to empirical treatment was an independent predictor of 28-day survival ( subdistribution = 0.20; 95% CI = 0.14-0.27). CONCLUSIONS: Four out of 10 patients with cirrhosis do not respond to the first-line antibiotic therapy, leading to lower resolution of infections and higher mortality. Broader-spectrum antibiotics and strategies targeting systemic inflammation may improve prognosis in patients with a high degree of inflammation, low serum albumin levels, and severe liver impairment.

Combined use of the CLivD score and FIB-4 for prediction of liver-related outcomes in the population.

BACKGROUND AND AIMS: A need exists for effective and practical tools to identify individuals at increased risk of liver-related outcomes (LROs) within the general population. APPROACH AND RESULTS: We externally validated the chronic liver disease (CLivD) score for LROs in the UK Biobank cohort. We also investigated the sequential combined use of CLivD and fibrosis-4 (FIB-4) scores. Our analysis included 369,832 adults without baseline liver disease and with available data for CLivD and FIB-4 computation. LROs reflecting compensated or decompensated liver cirrhosis or HCC were ascertained through linkages with electronic health care registries. Discriminatory performance and cumulative incidence were evaluated with competing-risk methodologies. Over a 10-year follow-up, time-dependent AUC values for LRO prediction were 0.80 for CLivD lab (including gamma-glutamyltransferase), 0.72 for CLivD non-lab (excluding laboratory values), and 0.75 for FIB-4. CLivD lab demonstrated AUC values exceeding 0.85 for liver-related death and severe alcohol-associated liver outcomes. The predictive performance of FIB-4 increased with rising CLivD scores; 10-year FIB-4 AUC values ranged from 0.60 within the minimal-risk CLivD subgroup to 0.81 within the high-risk CLivD subgroup. Moreover, in the minimal-risk CLivD subgroup, the cumulative incidence of LRO varied from 0.05% to 0.3% across low-to-high FIB-4 strata. In contrast, within the high-risk CLivD subgroup, the corresponding incidence ranged from 1.7% to 21.1% (up to 33% in individuals with FIB-4 >3.25). CONCLUSIONS: The CLivD score is a valid tool for LRO risk assessment and improves the predictive performance of FIB-4. The combined use of CLivD and FIB-4 identified a subgroup where 1 in 3 individuals developed LROs within 10 years.

Impending HCC diagnosis in patients with cirrhosis after HCV cure features a natural killer cell signature.

BACKGROUND AND AIMS: The risk of developing HCC in chronically infected patients with AQ2 HCV with liver cirrhosis is significantly elevated. This risk remains high even after a sustained virological response with direct-acting antivirals. To date, disease-associated signatures of NK cells indicating HCC development are unclear. APPROACH AND RESULTS: This study investigated NK cell signatures and functions in 8 cohorts covering the time span of HCC development, diagnosis, and onset. In-depth analysis of NK cell profiles from patients with cirrhosis who developed HCC (HCV-HCC) after sustained virological response compared with those who remained tumor-free (HCV-noHCC) revealed increasingly dissimilar NK cell signatures over time. We identified expression patterns with persistently high frequencies of TIM-3 and CD38 on NK cells that were largely absent in healthy controls and were associated with a high probability of HCC development. Functional assays revealed that the NK cells had potent cytotoxic features. In contrast to HCV-HCC, the signature of HCV-noHCC converged with the signature found in healthy controls over time. Regarding tissue distribution, single-cell sequencing showed high frequencies of these cells in liver tissue and the invasive margin but markedly lower frequencies in tumors. CONCLUSIONS: We show that HCV-related HCC development has profound effects on the imprint of NK cells. Persistent co-expression of TIM-3hi and CD38 + on NK cells is an early indicator for HCV-related HCC development. We propose that the profiling of NK cells may be a rapid and valuable tool to assess the risk of HCC development in a timely manner in patients with cirrhosis after HCV cure.

In-Depth Serum Proteomics Reveals the Trajectory of Hallmarks of Cancer in Hepatitis B Virus-Related Liver Diseases.

Hepatocellular carcinoma (HCC) is a prevalent cancer in China, with chronic hepatitis B (CHB) and liver cirrhosis (LC) being high-risk factors for developing HCC. Here, we determined the serum proteomes (762 proteins) of 125 healthy controls and Hepatitis B virus-infected CHB, LC, and HCC patients and constructed the first cancerous trajectory of liver diseases. The results not only reveal that the majority of altered biological processes were involved in the hallmarks of cancer (inflammation, metastasis, metabolism, vasculature, and coagulation) but also identify potential therapeutic targets in cancerous pathways (i.e., IL17 signaling pathway). Notably, the biomarker panels for detecting HCC in CHB and LC high-risk populations were further developed using machine learning in two cohorts comprised of 200 samples (discovery cohort = 125 and validation cohort = 75). The protein signatures significantly improved the area under the receiver operating characteristic curve of HCC (CHB discovery and validation cohort = 0.953 and 0.891, respectively; LC discovery and validation cohort = 0.966 and 0.818, respectively) compared to using the traditional biomarker, alpha-fetoprotein, alone. Finally, selected biomarkers were validated with parallel reaction monitoring mass spectrometry in an additional cohort (n = 120). Altogether, our results provide fundamental insights into the continuous changes of cancer biology processes in liver diseases and identify candidate protein targets for early detection and intervention.

Proteomic Analysis Identifies GSN as a Noninvasive Circulating Serum Biomarker for Predicting Early Recurrence of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is susceptible to early recurrence, but it lacks effective predictive biomarkers. In this study, we retrospectively selected 179 individuals as a discovery cohort (126 HCC patients and 53 liver cirrhosis (LC) patients) for screening candidate serum biomarkers of early recurrence based on data independent acquisition-mass spectrometry strategy. And then, the candidate biomarkers were validated in an additional independent cohort with 192 individuals (142 HCC patients and 50 LC patients) using parallel reaction monitoring targeted quantitative techniques (PXD047852). Eventually, we validated that gelsolin (GSN) concentrations were significantly lower in HCC than in LC (p < 0.0001), patients with low GSN concentrations had a poor prognosis (p < 0.0001), and GSN concentrations were significantly lower in early recurrence HCC than in late recurrence HCC (p < 0.0001). These trends were also observed in alpha-fetoprotein (AFP)-negative HCC patients. The area under the curve of machine-learning-based predictive model (GSN and microvascular invasion) for predicting early recurrence risk reached 0.803 (95% confidence interval (CI): 0.786-0.820) and maintained the same efficacy in AFP-negative patients. In conclusion, GSN is a novel serum biomarker for early recurrence of HCC. The model could provide timely warning to HCC patients at high risk of recurrence.

Unveiling Endogenous Serum Peptides as Potential Biomarkers for Hepatocellular Carcinoma in Patients with Liver Cirrhosis.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, mainly associated with liver cirrhosis. Current diagnostic methods for HCC have limited sensitivity and specificity, highlighting the need for improved early detection and intervention. In this study, we used a comprehensive approach involving endogenous peptidome along with bioinformatics analysis to identify and evaluate potential biomarkers for HCC. Serum samples from 40 subjects, comprising 20 HCC cases and 20 patients with liver cirrhosis (CIRR), were analyzed. Among 2568 endogenous peptides, 67 showed significant differential expression between the HCC vs CIRR. Further analysis revealed three endogenous peptides (VMHEALHNHYTQKSLSLSPG, NRFTQKSLSLSPG, and SARQSTLDKEL) that showed far better performance compared to AFP in terms of area under the receiver operating characteristic curve (AUC), showcasing their potential as biomarkers for HCC. Additionally, endogenous peptide IAVEWESNGQPENNYKT that belongs to the precursor protein Immunoglobulin heavy constant gamma 4 was detected in 100% of the HCC group and completely absent in the CIRR group, suggesting a promising diagnostic biomarker. Gene ontology and pathway analysis revealed the potential involvement of these dysregulated peptides in HCC. These findings provide valuable insights into the molecular basis of HCC and may contribute to the development of improved diagnostic methods and therapeutic targets for HCC.

A new clinical and prognostic characterization of the patterns of decompensation of cirrhosis.

BACKGROUND & AIMS: The prognostic impact of acute decompensation (AD), i.e. the development of complications that require hospitalization, has recently been assessed. However, complications of cirrhosis do not necessarily require hospitalization and can develop progressively, as in the recently defined non-acute decompensation (NAD). Nevertheless, there is no data regarding the incidence and prognostic impact of NAD. The aim of the study was to evaluate the incidence and the prognostic impact of NAD and AD in outpatients with cirrhosis. METHODS: A total of 617 outpatients with cirrhosis from two Italian tertiary centers (Padua and Milan) were enrolled from January 2003 to June 2021 and followed prospectively until the end of the study, death or liver transplantation. The complications registered during follow-up were considered as AD if they required hospitalization, or NAD if managed at the outpatient clinic. RESULTS: During follow-up, 154 patients (25.0% of total patients) developed complications, 69 patients (44.8%) developed NAD and 85 (55.2%) developed AD, while 29 patients with NAD (42.0%) developed a further episode of AD during follow-up. Sixty-month survival was significantly higher in patients with no decompensation than in patients with NAD or AD. On multivariable analysis, AD (hazard ratio [HR] 21.07, p <0.001), NAD (HR 7.13, p <0.001), the etiological cure of cirrhosis (HR 0.38, p <0.001) and model for end-stage liver disease score (HR 1.12, p = 0.003) were found to be independent predictors of mortality. CONCLUSIONS: The first decompensation is non-acute in almost 50% of outpatients, though such events are still associated with decreased survival compared to no decompensation. Patients who develop NAD must be treated with extreme care and monitored closely to prevent the development of AD. IMPACT AND IMPLICATIONS: This multicenter study is the first to investigate the role of non-acute decompensation (NAD) in patients with cirrhosis. In fact, while the unfavorable impact of acute decompensation is well known, there is currently a dearth of evidence on NAD, despite it being a common occurrence in clinical practice. Our data show that almost half of decompensations in patients with cirrhosis can be considered NAD and that such events are associated with a higher risk of mortality than no decompensation. This study has important clinical implications because it highlights the need to carefully consider patients who develop NAD, in order to prevent further decompensation and reduce mortality.

Validation of Baveno VII criteria and other non-invasive diagnostic algorithms for clinically significant portal hypertension in hepatitis delta.

BACKGROUND & AIMS: Non-invasive tests (NITs) for clinically significant portal hypertension (CSPH) require validation in patients with hepatitis D virus (HDV)-related compensated advanced chronic liver disease (cACLD). Therefore, we aimed to validate existing NIT algorithms for CSPH in this context. METHODS: Patients with HDV-cACLD (LSM ≥10 kPa or histological METAVIR F3/F4 fibrosis) who underwent paired HVPG and NIT assessment at Medical University of Vienna or Hannover Medical School between 2013 and 2023 were retrospectively included. Liver stiffness measurement (LSM), von Willebrand factor to platelet count ratio (VITRO), and spleen stiffness measurement (SSM) were assessed. Individual CSPH risk was calculated according to previously published models (ANTICIPATE, 3P/5P). The diagnostic performance of Baveno VII criteria and refined algorithms (Baveno VII-VITRO, Baveno VII-SSM) was evaluated. The prognostic utility of NITs was investigated in the main cohort and an independent, multicenter, validation cohort. RESULTS: Fifty-one patients (HVPG ≥10 mmHg/CSPH prevalence: 62.7%, varices: 42.2%) were included. Patients with CSPH had significantly higher LSM (25.8 [17.2-31.0] vs. 14.0 [10.5-19.8] kPa; p <0.001), VITRO (n = 31, 3.5 [2.7-4.5] vs. 1.3 [0.6-2.0] %/[G/L]; p <0.001), and SSM (n = 20, 53.8 [41.7-75.5] vs. 24.0 [17.0-33.9] kPa; p <0.001). Composite CSPH risk models yielded excellent AUROCs (ANTICIPATE: 0.885, 3P: 0.903, 5P: 0.912). Baveno VII criteria ruled out CSPH with 100% sensitivity and ruled in CSPH with 84.2% specificity. The Baveno VII 'grey zone' (41.1%) was significantly reduced by Baveno VII-VITRO or Baveno VII-SSM algorithms, which maintained diagnostic accuracy. Hepatic decompensation within 2 years only occurred in patients who had CSPH or met Baveno VII rule-in criteria. The prognostic value of NITs was confirmed in the validation cohort comprising 92 patients. CONCLUSIONS: Standalone and composite NIT/diagnostic algorithms are useful for CSPH diagnosis in patients with HDV-cACLD. Thus, NITs may be applied to identify and prioritize patients with CSPH for novel antiviral treatments against chronic hepatitis D. IMPACT AND IMPLICATIONS: Non-invasive tests (NITs) for clinically significant portal hypertension (CSPH) have been developed to identify patients with compensated advanced chronic liver disease (cACLD) at risk of decompensation, but conflicting data has been published regarding the accuracy of liver stiffness measurement (LSM) for the staging of fibrosis in patients infected with hepatitis D virus (HDV). In our study, including 51 patients with HDV-cACLD, LSM- and lab-based NITs yielded high AUROCs for CSPH. Moreover, only patients with CSPH or high non-invasively assessed CSPH risk were at risk of decompensation within 2 years, with the prognostic value of NITs confirmed in a validation cohort. Thus, NITs should be applied and updated in yearly intervals in clinical routine to identify patients with HDV-cACLD at short-term risk of clinical events; NITs may also guide prioritization for novel antiviral treatment options.

Prospective head-to-head comparison of non-invasive scores for diagnosis of fibrotic MASH in patients with type 2 diabetes.

BACKGROUND & AIMS: Non-invasive scores have been proposed to identify patients with fibrotic, metabolic dysfunction-associated steatohepatitis (MASH), who are at the highest risk of progression to complications of cirrhosis and may benefit from pharmacologic treatments. However, data in patients with type 2 diabetes (T2DM) are lacking. The aim of this multicenter prospective study was to perform a head-to-head comparison of FAST (FibroScan-aspartate aminotransferase [AST]), MAST (MRI-AST), MEFIB (magnetic resonance elastography [MRE] plus FIB-4), and FNI (fibrotic NASH index) for detecting fibrotic MASH in patients with T2DM. METHODS: A total of 330 outpatients with T2DM and biopsy-proven metabolic dysfunction-associated steatotic liver disease (MASLD) from the QUID-NASH study (NCT03634098), who underwent FibroScan, MRI-proton density fat fraction and MRE at the time of liver biopsy were studied. The main outcome was fibrotic MASH, defined as NAS ≥4 (with at least one point for each parameter) and fibrosis stage ≥2 (centrally reviewed). RESULTS: All data for score comparisons were available for 245 patients (median age 59 years, 65% male, median BMI 31 kg/m2; fibrotic MASH in 39%). FAST and MAST had similar accuracy (AUROCs 0.81 vs. 0.79, p = 0.41) but outperformed FNI (0.74; p = 0.01) and MEFIB (0.68; p <0.0001). When using original cut-offs, MAST outperformed FAST, MEFIB and FNI when comparing the percentage of correctly classified patients, in whom liver biopsy would be avoided (69% vs. 48%, 46%, 39%, respectively; p <0.001). When using cut-offs specific to our population, FAST outperformed FNI and MAST (56% vs. 40%, and 38%, respectively; p <0.001). CONCLUSION: Our findings show that FAST, MAST, MEFIB and FNI are accurate non-invasive tools to identify patients with T2DM and fibrotic MASH in secondary/tertiary diabetes clinics. Cut-offs adapted to the T2DM population should be considered. IMPACT AND IMPLICATIONS: Among patients with type 2 diabetes (T2DM), identifying those with metabolic dysfunction-associated steatohepatitis and significant fibrosis, who are the most at risk of developing clinical liver-related outcomes and who may benefit from pharmacologic treatments, is an unmet need. In this prospective multicenter study, we compared four non-invasive scores, three based on imaging (MRI or ultrasound technologies) and one on laboratory blood tests, for this purpose, using original and study-specific cut-offs. Our findings show that FAST, MAST, MEFIB and FNI are accurate non-invasive tools to identify patients with T2DM and fibrotic MASH in secondary/tertiary diabetes clinics. Cut-offs adapted to the T2DM population should be considered. TRIAL REGISTRATION NUMBER: NCT03634098.

Fatty Liver Disease: Diagnosis and Stratification.

Nonalcoholic fatty liver disease (NAFLD) is a major public health crisis affecting approximately 25% of the world's population. The spectrum of NAFLD ranges from bland steatosis to steatohepatitis with fibrosis; eventual development of cirrhosis in a subgroup of patients now represents the leading indication for liver transplant in women and in individuals older than 65. The development of noninvasive liver disease assessment tools has led to substantial progress in the diagnosis of NAFLD. Patients with NAFLD are at increased risk of cardiometabolic disease, which should therefore be an important part of the therapeutic approach. This review focuses on diagnosis and risk stratification of NAFLD across the full spectrum of disease, including important considerations in the approach to patients with cirrhosis.

Lower uromodulin serum levels are associated with poorer prognosis in patients with cirrhosis and hepatorenal syndrome type 2.

Hepatorenal syndrome (HRS) is associated with a dismal prognosis in patients with cirrhosis, and therapeutic options are limited. Biomarkers to identify patients with poor response to therapy are urgently needed. This study aimed to evaluate the predictive value of serum levels of uromodulin (sUMOD) in patients with cirrhosis and HRS treated with terlipressin and albumin (T/A). In total, 156 patients [81 patients with HRS treated with T/A, 42 patients with cirrhosis without kidney injury, and 33 patients with cirrhosis with prerenal acute kidney injury (AKI)] were included. sUMOD levels were analyzed by ELISA. Patients with HRS were prospectively followed for the composite endpoint of hemodialysis-/liver transplantation-free survival (HD/LTx-free survival). Of the 81 patients with HRS, 40 had HRS type 1 and 41 type 2. In the cohort of patients with HRS treated with T/A, median sUMOD level was 100 ng/mL (IQR 64; 144). sUMOD differed significantly between patients with HRS compared with patients without AKI (P = 0.001) but not between patients with HRS and prerenal AKI (P = 0.9). In multivariable analyses, sUMOD levels in the lowest quartile were independently associated with a lower rate of complete response to T/A (OR 0.042, P = 0.008) and a higher risk for reaching the composite endpoint of HD/LTX-free survival (HR 2.706, P = 0.013) in patients with HRS type 2 treated with T/A. In contrast, sUMOD was not significantly associated with these outcomes in patients with HRS type 1. sUMOD may be a valuable biomarker for identifying patients with HRS type 2 treated with T/A to predict response and prognosis.NEW & NOTEWORTHY Biomarkers identifying patients with hepatorenal syndrome (HRS) and poor response to therapy are urgently needed. In this study, lower serum uromodulin (sUMOD) levels were associated with poorer response to therapy with terlipressin and albumin and consequently with poorer prognosis in patients with HRS type 2. In patients with HRS type 1, there was no association between sUMOD and poorer prognosis.

Development, validation, and prognostic evaluation of a risk score for long-term liver-related outcomes in the general population: a multicohort study.

BACKGROUND: Liver cirrhosis is a major cause of death worldwide. Cirrhosis develops after a long asymptomatic period of fibrosis progression, with the diagnosis frequently occurring late, when major complications or cancer develop. Few reliable tools exist for timely identification of individuals at risk of cirrhosis to allow for early intervention. We aimed to develop a novel score to identify individuals at risk for future liver-related outcomes. METHODS: We derived the LiverRisk score from an international prospective cohort of individuals from six countries without known liver disease from the general population, who underwent liver fibrosis assessment by transient elastography. The score included age, sex, and six standard laboratory variables. We created four groups: minimal risk, low risk, medium risk, and high risk according to selected cutoff values of the LiverRisk score (6, 10, and 15). The model's discriminatory accuracy and calibration were externally validated in two prospective cohorts from the general population. Moreover, we ascertained the prognostic value of the score in the prediction of liver-related outcomes in participants without known liver disease with median follow-up of 12 years (UK Biobank cohort). FINDINGS: We included 14 726 participants: 6357 (43·2%) in the derivation cohort, 4370 (29·7%) in the first external validation cohort, and 3999 (27·2%) in the second external validation cohort. The score accurately predicted liver stiffness in the development and external validation cohorts, and was superior to conventional serum biomarkers of fibrosis, as measured by area under the receiver-operating characteristics curve (AUC; 0·83 [95% CI [0·78-0·89]) versus the fibrosis-4 index (FIB-4; 0·68 [0·61-0·75] at 10 kPa). The score was effective in identifying individuals at risk of liver-related mortality, liver-related hospitalisation, and liver cancer, thereby allowing stratification to different risk groups for liver-related outcomes. The hazard ratio for liver-related mortality in the high-risk group was 471 (95% CI 347-641) compared with the minimal risk group, and the overall AUC of the score in predicting 10-year liver-related mortality was 0·90 (0·88-0·91) versus 0.84 (0·82-0·86) for FIB-4. INTERPRETATION: The LiverRisk score, based on simple parameters, predicted liver fibrosis and future development of liver-related outcomes in the general population. The score might allow for stratification of individuals according to liver risk and thus guide preventive care. FUNDING: European Commission under the H20/20 programme; Fondo de Investigación Sanitaria de Salud; Instituto de Salud Carlos III; Spanish Ministry of Economy, Industry, and Competitiveness; the European Regional Development Fund; and the German Ministry of Education and Research (BMBF).

QuickStroop Predicts Time to Development of Overt Hepatic Encephalopathy and Related Hospitalizations in Patients With Cirrhosis.

Cirrhosis-related neurocognitive impairment caused by covert or minimal hepatic encephalopathy (CHE) affects psychosocial function, increases risk of overt hepatic encephalopathy (OHE) development, and worsens survival.1,2 However, detection in clinical practice is challenging.2 One modality used for screening and prediction of outcomes related to cirrhosis is the EncephalApp Stroop, but it can require up to 10 minutes. Furthermore, the assessment comprises of distinct stages of difficulty, with an easier "Off" stage and a more challenging "On" stage.3 To alleviate these concerns, QuickStroop, which takes <1 minute, was developed. This uses only the first 2 runs of the Off stage of the EncephalApp Stroop, where number signs presented in red, green, or blue need to be matched quickly to their respective colors.4 A prior study showed these versions were comparable cross-sectionally to diagnose CHE.4 However, the utility of QuickStroop to predict cirrhosis-related outcomes is unclear.5-7 Our aim was to determine the ability of QuickStroop to determine time to development of OHE and OHE-related hospitalizations, all-cause hospitalizations, and death in outpatients with cirrhosis.