Ferroptosis is an iron- and lipotoxicity-dependent form of regulated cell death (RCD). It is morphologically and biochemically distinct from characteristics of other cell death. This modality has been intensively investigated in recent years due to its involvement in a wide array of pathologies, including cancer, neurodegenerative diseases, and acute kidney injury. Dysregulation of ferroptosis has also been linked to various liver diseases and its modification may provide a hopeful and attractive therapeutic concept. Indeed, targeting ferroptosis may prevent the pathophysiological progression of several liver diseases, such as hemochromatosis, nonalcoholic steatohepatitis, and ethanol-induced liver injury. On the contrary, enhancing ferroptosis may promote sorafenib-induced ferroptosis and pave the way for combination therapy in hepatocellular carcinoma. Glutathione peroxidase 4 (GPx4) and system xc− have been identified as key players to mediate ferroptosis pathway. More recently diverse signaling pathways have also been observed. The connection between ferroptosis and other forms of RCD is intricate and compelling, where discoveries in this field advance our understanding of cell survival and fate. In this review, we summarize the central molecular machinery of ferroptosis, describe the role of ferroptosis in non-cancer hepatic disease conditions and discuss the potential to manipulate ferroptosis as a therapeutic strategy.

Background Alterations in body compositions are related to poor outcomes and the presence of complications in cirrhosis. However, no predictive tools combining all these anthropometric parameters are applicable in the clinical setting. We aimed to clarify the potential utility of body compositions and develop a nomogram incorporating any independent factor for prognosticating long‐term mortality in cirrhosis. Methods A total of 414 patients were randomized into primary (n = 274) and validation (n = 140) cohorts. X‐tile was performed to identify optimal cut points for stratifying participants. Multivariate Cox regression was performed, and nomogram incorporating body compositions were generated. The utility of developed models was evaluated by Harrell concordance index (C‐index), calibration curve, and decision curve analysis (DCA). Results Stratifying by X‐tilederived cut points, low skeletal muscle index (myopenia), high intramuscular adipose tissue content (myosteatosis), and the ratio of high visceral to subcutaneous adipose tissue area (adiposity) was independently associated with 3‐year mortality. A sex‐stratified nomogram incorporating anthropometric indices and clinical factors resulted in moderate discriminative accuracy, with a C‐index of 0.787 (95% CI, 0.736–0.838) and 0.789 (95% CI, 0.727–0.851) in males and females, respectively. The calibration curve showed predictive survival corresponding optimally with the actual outcomes. Our models were feasible in the clinical settings based on DCA. Similar results were observed in the validation cohort. Additionally, participants could be classified into 3 distinct risk groups by the nomogram. Conclusions Our proposed nomogram embedding body compositions rendered an individualized predictive tool for long‐term mortality in cirrhosis.

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Background Liver cirrhosis is characterized by immune dysfunction, contributing to malnutrition. We previously revealed neutrophil‐to‐lymphocyte ratio (NLR) as an indicator of disordered immune system. Herein we aimed to (1) determine the optimal NLR cutoff that best predicts malnutrition risk and (2) clarify the association between NLR and nutrition status. Methods A total of 135 hospitalized patients with cirrhosis were included. Immune dysfunction was evaluated by levels of serum C‐reactive protein (CRP), NLR, and other parameters. Malnutrition was screened by a risk score referring to the Royal Free Hospital–Nutritional Prioritizing Tool (RFH‐NPT). Receiver operating characteristic (ROC) curve was implemented to determine the best NLR cutoff that predicts malnutrition risk. Correlation between NLR and indicators of hepatic and physical function (handgrip strength) were also examined. Multivariable logistic regression was used to assess the association between NLR and malnutrition risk. Results ROC curve revealed that the optimum cutoff to predict malnutrition risk was NLR > 4.2, with a sensitivity of 47.2%, specificity of 81.0%, negative predictive value of 58.0%, and positive predictive value of 74.5%, respectively. Patients with NLR > 4.2 exhibited a higher RFH‐NPT score, serum platelet‐to‐lymphocyte ratio, and CRP. A positive correlation was found between NLR values and Child‐Turcotte‐Pugh (r = 0.22; P = .010), model for end‐stage liver disease (r = 0.36; P < .001), and RFH‐NPT scores (r = 0.31; P < .001). NLR was a risk factor for malnutrition independently of alcoholic liver disease and presence of ascites. Conclusions Immune dysfunction measured by NLR was associated with malnutrition risk estimated by RFH‐NPT in cirrhosis.

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Bicyclol, a novel synthetic antihepatitis drug, has been shown to protect against liver injury via various pharmacological activities. The purpose of the current study was to further investigate the protective effect of bicyclol against carbon tetrachloride (CCl 4)-induced acute liver injury (ALI) and its underlying molecular mechanism, particularly autophagic machinery, antioxidative, and anti-inflammatory potentials. Our results found that treatment with bicyclol significantly reduced CCl 4-induced hepatotoxicity by alleviating histopathological liver changes, decreasing the alanine transaminase levels, promoting autophagic flux, attenuating the expression of inflammatory cytokines, and modulating oxidative markers. Furthermore, bicyclol efficiently induced the conversion of LC3 and enhanced the liver expressions of ATG7 and Beclin-1. Meanwhile, bicyclol induced the activation of nuclear factor erythroid 2-related factor 2 (Nrf2) and p62. These protective effects may be mediated by activation of AMP-activated protein kinase and inhibition of mTOR or MAPK signaling pathways. Taken together, our study firstly suggests that bicyclol has protective potential against CCl 4-induced hepatotoxicity, which might be closely associated with induction of autophagy, concomitant anti-oxidative stress, and anti-inflammatory response.

Background: Frailty is a syndrome that diminishes the potential for functional recovery in liver cirrhosis (LC). However, its utility is limited due to sole reliance on physical performance, especially in hospitalized patients. We investigate the predictive value of a modified self-reported Frailty Index in cirrhotics, and identify which health deficits play more important roles. Methods: Consecutive LC patients were assessed by our frailty scale. Outcomes of interest were mortality for 90-day, 1-year and 2-year. Independent predictors were identified by multivariate Cox regression. Receiver operating characteristic curve (ROC) was performed to evaluate discriminative ability. We used a combination of stepwise selection, best subset selection, and Akaike information criteria (AIC) to identify pivotal frailty components. Results: The study cohort consisted of 158 patients, in which 37 expired during follow-up. Compared with non-frail groups, the frail group had higher 1-and 2-year mortality. The area under ROC of the Child-Turcotte-Pugh classification (CTP) and Frailty Index were 0.66 and 0.68, while 0.72 for CTP + Frailty Index (P=0.034), respectively. The optimal predictors comprised instrumental activities of daily living (IADL) limitation, falls and loss of weight (AIC =170, C-statistic =0.67). Conclusions: It is plausible for incorporating Frailty Index to improve prognostication in cirrhotics. IADL limitation, falls and loss of weight play more crucial roles on mortality determination.