Liver Fibrosis Markers Improve Prediction of Outcome in Non-Acetaminophen-Associated Acute Liver Failure

Recent Use of Hyaluronic Acid in Dental Medicine

This systematic review evaluates the clinical effectiveness of hyaluronic acid (HA) in periodontal therapy, oral surgery, and temporomandibular joint (TMJ) disorders. Background. HA, a biocompatible glycosaminoglycan with anti-inflammatory and regenerative properties, is increasingly used in dentistry to enhance healing, reduce pain, and support periodontal regeneration. However, its efficacy compared to conventional treatments remains debated. Materials and Methods. A systematic search was conducted following PRISMA guidelines across PubMed, Scopus, and Web of Science databases (2015-2025). Twenty-one clinical studies, including randomized controlled trials (RCTs) and case-control studies, were analyzed for outcomes related to pain reduction, tissue regeneration, and functional recovery. HA improved clinical attachment levels, reduced probing depth, and enhanced wound healing in periodontal therapy and oral surgery. It accelerated healing after extractions and frenectomies. However, TMJ disorder studies showed mixed results, with some reporting pain relief and functional improvement, while others found no significant advantage over platelet-rich plasma (PRP) or corticosteroids. Variability in HA formulations and protocols influenced outcomes. HA is a promising adjunct for periodontal therapy and wound healing. However, its role in TMJ treatment remains uncertain. Further RCTs with standardized protocols are needed to determine its optimal clinical application.

The predictive value of fibrosis profiles for hepatitis E virus-related liver failure among hospitalized patients with acute hepatitis E: a retrospective cohort study

BACKGROUND

Hepatitis E virus (HEV) infection is an important etiology of liver failure. This study aimed to explore the associations of blood fibrosis profiles with HEV-related liver failure (HEV-LF) onset and evaluate their prediction performance in hospitalized patients with acute hepatitis E.

METHODS

Participants were obtained from two tertiary medical centers in Jiangsu, China, between January 2018 and November 2024. Cox proportional hazards regression, restricted cubic splines, and threshold effect analysis were used to examine associations between fibrosis markers and HEV-LF risk. The predictive value of these markers was evaluated for importance ranking, discrimination, calibration, and net benefit.

RESULTS

Among 504 included participants, 59 developed HEV-LF during hospitalization. After adjusting for covariates, elevated baseline laminin (HR = 1.432, 95% CI: 1.080-1.900), fibrosis-4 score (HR = 1.865, 95% CI: 1.375-2.530), and aspartate aminotransferase to platelet ratio index (APRI) (HR = 1.603, 95% CI: 1.315-1.954) were associated with a higher HEV-LF risk in a dose-dependent manner. Hyaluronic acid (≤ 740 ng/mL: HR = 1.797, 95% CI: 1.177-2.744) and type IV collagen (≤ 137 ng/mL: HR = 3.075, 95% CI: 1.709-5.533) showed nonlinear associations. APRI was ranked the highest in importance, and its combination with the other two top important markers provided good discrimination (7-day HEV-LF: AUROC = 84.98%, 95% CI: 78.55-91.41; 14-day HEV-LF: AUROC = 80.11%, 95% CI: 73.49-86.73), calibration, and clinical utility for predicting HEV-LF onset.

CONCLUSIONS

Several blood fibrosis markers are closely associated with HEV-LF risk and have promising predictive value. These findings may inform clinical risk stratification in patients with AHE.

TRIAL REGISTRATION

Not applicable.

Prognostic models in acute liver failure-historic evolution and newer updates "prognostic models in acute liver failure"

Acute liver failure (ALF) is a rare and dynamic syndrome occurring as a sequela of severe acute liver injury (ALI). Its mortality ranges from 50% to 75% based on the aetiology, patients age and severity of encephalopathy at admission. With improvement in intensive care techniques, transplant-free survival in ALF has improved over time. Timely recognition of patients who are unlikely to survive with medical intervention alone is crucial since these individuals may rapidly develop multiorgan failure and render liver transplantation futile. Various predictive models, biomarkers and AI-based models are currently used in clinical practice, each with its fallacies. The King's College Hospital criteria (KCH) were initially established in 1989 to identify patients with acute liver failure (ALF) caused by paracetamol overdose or other causes who are unlikely to improve with conventional treatment and would benefit from a liver transplant. Since then, various models have been developed and validated worldwide. Most models include age, aetiology of liver disease, encephalopathy grade, and liver injury markers like INR, lactate, factor V level, factor VIII/V ratio and serum bilirubin. But none of the currently available models are dynamic and lack accuracy in predicting transplant free survival. There is an increasing interest in developing prognostic serum biomarkers that when used alone or in combination with clinical models enhance the accuracy of predicting outcomes in ALF. Genomics, transcriptomics, proteomics, and metabolomics as well as machine learning and artificial intelligence (AI) algorithms are areas of interest for developing higher-precision predictive models. Overall, the future of prognostic models in ALF is promising, with ongoing research paving the way for more accurate, personalized, and dynamic risk assessment tools that can potentially save lives in this challenging condition. This article summarizes the history of prognostic models in ALF and future trends.

A novel scoring system to predict short-term mortality after living donor liver transplantation for acute liver failure

Liver transplantation is often the only lifesaving option for acute liver failure (ALF); however, the predictors of short-term mortality (death within one year) after living donor liver transplantation (LDLT) for ALF have yet to be defined. We retrospectively collected patients ≥18 years old who underwent LDLT for ALF between 2010 and 2020 at 35 centers in Asia. Univariate and multivariate logistic regression analyses were conducted to identify the clinical variables related to short-term mortality and establish a novel scoring system. The Kaplan-Meier method was performed to explore the association between the score and overall survival. Of the 339 recipients, 46 (13.6%) died within 1 year after LDLT. Multivariate analyses revealed 4 independent risk factors for death: use of vasopressors or mechanical ventilation, the higher model for end-stage liver disease score, and a lower graft-to-recipient weight ratio. The internally validated c-statistic of the short-term mortality after transplant (SMT) score derived from these 4 variables was 0.80 (95% confidence interval: 0.74-0.87). The SMT score successfully stratified recipients into low-, intermediate-, and high-risk groups with 1-year overall survival rates of 96%, 80%, and 50%, respectively. In conclusion, our novel SMT score based on 4 predictors will guide ALF recipient and living donor selection.

Comprehensive analysis of miRNAs-lncRNAs-mRNAs modules and ceRNA network in acute liver failure: Hsa-miR3175 and C-reactive protein determination

Acute liver failure (ALF), also known as fulminant hepatitis, coagulation disorders, and worsening mental status. It has a poor prognosis and high mortality rate. Among these, the top 10 upregulated genes included GKA-DPA1, IGLL5, PLA2G7, CCL5, IGLJ, GUSBP11, RHOBT1, IGLL3P, CCL18, and ADRBK2. On the other hand, the top 10 downregulated genes were SLC6A1, PID1, AVPR1A, PP1R1A, ST3GAL6, TPST, ERO1LB, SLCO4C1, and KLF15. Furthermore, the DEGs were found to be enriched in processes related to LIAO metastasis and creighton endocrine therapy resistance. To explore the interactions among the DEGs, we constructed a PPI network. This network revealed 16 hub genes that play crucial roles in ALF pathogenesis. Within this network, hsa-mir-375 and hsa-mir-650 were identified as central nodes, indicating their potential importance in ALF. By identifying and analyzing the transcriptional-level ceRNA network, we have provided valuable insights into the etiology of ALF.

The challenges and potential in developing microRNA associated with regeneration as biomarkers to improve prognostication for liver failure syndromes and hepatocellular carcinoma

INTRODUCTION

Determining the need for liver transplantation remains critical in the management of hepatocellular carcinoma (HCC) and liver failure syndromes (including acute liver failure and decompensated cirrhosis states). Conventional prognostic models utilize biomarkers of liver and non-liver failure and have limitations in their application. Novel biomarkers which predict regeneration may fulfil this niche. microRNA are implicated in health and disease and are present in abundance in the circulation. Despite this, they have not translated into mainstream clinical biomarkers.

AREAS COVERED

We will discuss current challenges in the prognostication of patients with liver failure syndromes as well as for patients with HCC. We will discuss biomarkers implicated with liver regeneration. We then provide an overview of the challenges in developing microRNA into clinically tractable biomarkers. Finally, we will provide a scoping review of microRNA which may have potential as prognostic biomarkers in liver failure syndromes and HCC.

EXPERT OPINION

Novel biomarkers are needed to improve prognostic models in liver failure syndromes and HCC. Biomarkers associated with liver regeneration are currently lacking and may fulfil this niche. microRNA have the potential to be developed into clinically tractable biomarkers but a consensus on standardizing methodology and reporting is required prior to large-scale studies.

Acute Liver Failure: Biomarkers Evaluated by the Acute Liver Failure Study Group

There has been a growing interest in identifying prognostic biomarkers that alone or with available prognostic models (King's College Criteria, KCC; MELD and ALFSG Prognostic Index) would improve prognosis in acute liver failure (ALF) patients being assessed for liver transplantation. The Acute Liver Failure Study Group (ALFSG) has evaluated 15 potential prognostic biomarkers: serum AFP; apoptosis-associated proteins; serum actin-free Gc-globulin; serum glycodeoxycholic acid; sRAGE/RAGE ligands; plasma osteopontin; circulating MBL, M-, L-, H-ficolin and CL-1; plasma galectin-9; serum FABP1; serum Lct2; miRNAs; factor V; thrombocytopenia, and sCD163. The ALFSG also has reported on 4 susceptibility biomarkers: keratins 8 and 18 (K8/K18) gene variants; polymorphisms of genes encoding putative APAP-metabolizing enzymes ( UGT1A1 , UGT 1A0 , UGT 2B15 , SULT1A1 , CYP2E1 , and CYP3A5 ) as well as CD44 and BHMT1 ; single nucleotide polymorphisms (SNPs) of genes associated with human behavior, rs2282018 in the arginine vasopressin ( AVP ) gene and rs11174811 in the AVP receptor 1A gene. Finally, rs2277680 of the CSCL16 gene in HBV-ALF patients. In conclusion, we have reviewed the prognostic and susceptibility biomarkers studied by the ALFSG. We suggest that a better approach to predicting the clinical outcome of an ALF patient will require a combination of biomarkers of pathogenic processes such as cell death, hepatic regeneration, and degree of inflammation that could be incorporated into prognostic models such as KCC, MELD or ALFSG PI.

Identification of significant modules and hub genes involved in hepatic encephalopathy using WGCNA

BACKGROUND

Hepatic encephalopathy (HE) is a reversible syndrome of brain dysfunction caused by advanced liver disease. Weighted gene co-expression network analysis (WGCNA) could establish a robust co-expression network to identify the hub genes and underlying biological functions. This study was aimed to explore the potential therapeutic targets in HE by WGCNA.

RESULTS

The green and brown modules were found to be significantly associated with the development of HE. Functional enrichment analyses suggested the neuroinflammation, neuroimmune, extracellular matrix (ECM), and coagulation cascade were involved in HE. CYBB and FOXO1 were calculated as hub genes, which were upregulated in the HE patients. Tamibarotene and vitamin E were suggested as possible drug candidates to alleviate HE.

CONCLUSIONS

It is the first time to analyze transcriptomic data of HE by WGCNA. Our study not only promoted the current understanding of neuroinflammation in HE, but also provided the first evidence that CYBB and FOXO1 played pivotal roles in the pathogenesis of HE, which might be potential biomarkers and therapeutic targets. Tamibarotene might be a novel drug compound against HE.

Early Dynamics of MELD Scores Predict Corticosteroid Responsiveness to Severe Acute-Onset Autoimmune Hepatitis

Timely diagnosis and management of severe acute-onset autoimmune hepatitis (SA-AIH), a potential cause of acute liver failure (ALF), are challenging. An initial trial of corticosteroids (CS) followed by an assessment of clinical responses over 1-2 weeks is advocated by the latest international practice guidelines^1,2 and expert reviews.^3,4 Consideration of a second-line drug while evaluating for liver transplantation (LT) is also recommended.² Established predictors of "CS responsiveness" to guide decision-making are nonexistent. Herein, we determined the diagnostic abilities of early dynamics to define CS responsiveness in SA-AIH using the model for end-stage liver disease (MELD) scores.

Dynamics of type IV collagen 7S fragment on eradication of HCV with direct antiviral agents: Prognostic and metabolomic impacts

BACKGROUND

Liver fibrosis is one of the cardinal clinical features of chronic hepatitis C (CHC). However, the mechanisms underlying the evolution and reversion of liver fibrosis after hepatitis C virus (HCV) eradication and their relationship with clinical outcomes and metabolic alterations are not fully elucidated. Whether any non-invasive fibrosis marker can predict prognosis is unknown.

METHODS

Between October 2014 and September 2019, 418 patients with CHC or compensated cirrhosis with HCV were prospectively recruited in this observational study. 326 patients that were successfully eradicated with interferon-free direct antiviral agents (IFN-free DAAs) were analyzed. Peri-treatment dynamics of serum levels of type IV collagen 7S fragment (4COL7S), a fibrosis marker, and subsequent clinical outcomes, including hepatic decompensation, newly emerged hepatocellular carcinoma (HCC), and all-cause mortality were analyzed.

RESULTS

Ten (3.1%) patients died during the observation period. 4COL7S-defined fibrosis progression (n = 97, 29.8%) at SVR was significantly correlated with worse all-cause mortality post-SVR (P = 0.0062) but not with the probability of newly emerged HCC (P = 0.24). Prognostic tendency was more prominent in patients with advanced fibrosis (P< 0.0001). 4COL7S-defined fibrosis progression at SVR and a baseline platelet count less than 10×104/μL were significantly predicted all-cause mortality (P = 0.0051). In exploratory analyses, a decreased 4COL7S at the end of treatment was correlated with a matrix-degrading phenotype that showed higher serum metalloproteinase to tissue inhibitors of metalloproteinase-1 ratios and characteristic metabolic fingerprints such as increased butyrate, some medium-chain fatty acids, anabolic amino acids, and decreased uremia toxins.

CONCLUSIONS

Peri-treatment dynamics of serum 4COL7S, a non-invasive fibrosis marker, predict prognosis. Non-invasive fibrosis markers may be useful biomarkers for risk stratification post-SVR.

Acute liver failure

PURPOSE OF REVIEW

Present an outline of acute liver failure, from its definition to its management in critical care, updated with findings of selected newer research.

RECENT FINDINGS

Survival of patients with acute liver failure has progressively improved. Intracranial hypertension complicating hepatic encephalopathy is now much less frequent than in the past and invasive ICP monitoring is now rarely used. Early renal replacement therapy and possibly therapeutic plasma exchange have consolidated their role in the treatment. Further evidence confirms the low incidence of bleeding in these patients despite striking abnormalities in standard tests of coagulation and new findings of abnormalities on thromboelastographic testing. Specific coagulopathy profiles including an abnormal vWF/ADAMTS13 ratio may be associated with poor outcome and increased bleeding risk. Use of N-acetylcysteine in nonparacetamol-related cases remains unsupported by robust clinical evidence. New microRNA-based prognostic markers to select patients for transplantation are described but are still far from widespread clinical applicability; imaging-based prognostication tools are also promising. The use of extracorporeal artificial liver devices in clinical practice is yet to be supported by evidence.

SUMMARY

Medical treatment of patients with acute liver failure is now associated with significantly improved survival. Better prognostication and selection for emergency liver transplant may further improve care for these patients.

The utility of biomarkers in prognosis assessment of patients with acute liver failure

BACKGROUND

Acute liver failure (ALF) is a rare but potential lethal condition characterized by the sudden development of jaundice, coagulopathy and hepatic encephalopathy in patients without underlying liver disease. In selected patients, emergency liver transplantation is required. Selection of these patients is based on clinical criteria such as the Kings College Criteria (KCC) or the Clichy criteria.

AIMS

The aim of this work is to provide an overview of potential biomarkers that could improve the prognostic value of KCC.

RESULTS

Several promising biomarkers involved in related pathophysiological processes have been identified. Some could be as stand-alone biomarkers; however, the best prognostic values have been observed in the combination of biomarkers with current models. Among these, the ALFSG Index that combines clinical parameters and circulating blood levels of CK18 claims a higher prognostic value than KCC.

CONCLUSIONS

In this review, all potential biomarkers for ALF have been summarized to give an overview of the work performed over the last years, and a glimpse of what to expect in this field in the coming years.

Increased Endotoxin Activity Is Associated with the Risk of Developing Acute-on-Chronic Liver Failure

Acute-on-chronic liver failure (ACLF) leads to systematic inflammatory response syndrome and multiple organ failure. This study investigated the relationship between endotoxin (Et) and ACLF with the aim of determining whether Et activity (EA) is useful as a predictive biomarker of ACLF development and whether rifaximin treatment decreased the risk of ACLF development. Two hundred forty-nine patients with liver cirrhosis were enrolled in this study. Et concentration was determined in the whole blood by a semiquantitative EA assay. Predictive factors of ACLF development and the risk of ACLF development with and without rifaximin treatment were identified by univariate and multivariate analysis using Fine and Gray's proportional subhazards model. EA level was higher in Child-Pugh class B than in class A patients, and class B patients had an increased risk of ACLF development compared with class A patients. Multivariate analysis showed that EA level was a predictive factor independently associated with ACLF development. Rifaximin decreased EA level and the risk of ACLF development in Child-Pugh class B patients. Et levels were associated with functional liver capacity and were predictive of ACLF development in cirrhotic patients. Rifaximin decreased Et level and the risk of ACLF development in advanced cirrhotic patients.

CLIF-C Organ Failure Score and Liver Volume Predict Prognosis in Steroid-Treated Severe Acute Autoimmune Hepatitis

Controversies and debates remain regarding the best management of severe acute‐onset autoimmune hepatitis (SA‐AIH) due to the lack of useful outcome or complication prediction systems. We conducted this clinical practice‐based observational study to clarify whether Chronic Liver Failure Consortium Organ Failure scores (CLIF‐C OFs) and the computed tomography–derived liver volume to standard liver volume (CTLV/SLV) ratio at admission to a tertiary transplant center can predict outcomes and complications due to infection. Thirty‐four consecutive corticosteroid‐treated patients with SA‐AIH from 2007 to 2018 were included. Severe hepatitis was defined as an international normalized ratio (of prothrombin time) over 1.3 any time before admission. Of the 34 corticosteroid‐treated patients with SA‐AIH inclusive of 25 (73.5%) acute liver failure cases, transplant‐free survival was observed in 24 patients (70.6%). Any infection was noticed in 10 patients (29.4%). CLIF‐C OFs, at the cutoff of 9, significantly predicted survival (P = 0.0002, log‐rank test), outperformed the Model for End‐stage Liver Disease system in predicting outcome (P = 0.0325), and significantly discriminated between liver transplant and death in a competing risk analysis. SA‐AIH was characterized as having decreased CTLV/SLV, which was also predictive of survival (P < 0.0001). Interestingly, CLIF‐C OFs, especially the subscores for respiratory dysfunction, also predicted infection (P = 0.007). Conclusion: In corticosteroid‐treated patients with SA‐AIH, CLIF‐C OFs and CTLV/SLV ratios predicted both survival outcome and complications due to infection. Further investigation is warranted to determine whether making decisions based on CLIF‐C OFs or CTLV/SLV ratios is useful.