Amplifying hepatic L-aspartate levels suppresses CCl4-induced liver fibrosis by reversing glucocorticoid receptor ß-mediated mitochondrial malfunction.

Liver fibrosis is a determinant-stage process of many chronic liver diseases and affected over 7.9 billion populations worldwide with increasing demands of ideal therapeutic agents. Discovery of active molecules with anti-hepatic fibrosis efficacies presents the most attacking filed. Here, we revealed that hepatic L-aspartate levels were decreased in CCl4-induced fibrotic mice. Instead, supplementation of L-aspartate orally alleviated typical manifestations of liver injury and fibrosis. These therapeutic efficacies were alongside improvements of mitochondrial adaptive oxidation. Notably, treatment with L-aspartate rebalanced hepatic cholesterol-steroid metabolism and reduced the levels of liver-impairing metabolites, including corticosterone (CORT). Mechanistically, L-aspartate treatment efficiently reversed CORT-mediated glucocorticoid receptor ß (GRß) signaling activation and subsequent transcriptional suppression of the mitochondrial genome by directly binding to the mitochondrial genome. Knockout of GRß ameliorated corticosterone-mediated mitochondrial dysfunction and hepatocyte damage which also weakened the improvements of L-aspartate in suppressing GRß signaling. These data suggest that L-aspartate ameliorates hepatic fibrosis by suppressing GRß signaling via rebalancing cholesterol-steroid metabolism, would be an ideal candidate for clinical liver fibrosis treatment.

Performance of novel collagen turnover biomarkers to detect increased liver stiffness in MASLD.

BACKGROUND: Cleavage products from collagen formation and degradation hold potential as first-line biomarkers for the risk of advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Here, we evaluated the performance of PRO-C3, PRO-C6, C4M, PRO-C18L, and the clinical score ADAPT (age, diabetes, PRO-C3, and platelet count) to detect patients with an LSM >8 kPa or >12 kPa in comparison to the Fibrosis-4 Index (FIB-4). METHODS: Serum from patients with MASLD (n = 269) from six Swedish University Hospitals was analyzed using enzyme-linked immunosorbent assay-based methods. Liver stiffness measurement (LSM) by vibration-controlled transient elastography was performed. The area under the curve (AUC), calibration curves, and net benefit analysis were used. RESULTS: An LSM >8 kPa was found in 108 (40.1%) patients. PRO-C3, PRO-C6, C4M, and PRO-C18L had AUCs ranging from 0.48 to 0.62. ADAPT had the highest AUC (0.73, 95% confidence interval [CI] = 0.67-0.79) to detect patients >8 kPa, compared to FIB-4 (0.71, (95%CI = 0.64-0.77, p = 0.35), and had a higher net benefit compared to FIB-4 from a probability threshold of 15%. FIB-4 and ADAPT performed equally well to detect patients with an LSM >12 kPa, AUC 0.76 versus 0.76, p = 0.93. CONCLUSIONS: ADAPT seems to be marginally better than FIB-4 in identifying patients with an LSM >8 kPa. However, the clinical utility of ADAPT as a first line test is uncertain, especially in low-risk populations. The overall performance of FIB-4 was similar to that of ADAPT in detecting patients with an LSM of >12 kPa. Altogether, the results suggest that ADAPT might be useful to detect earlier stages of fibrosis in MASLD, but that FIB-4 remains a first-line test for advanced fibrosis.

Pharmacotherapeutic options for metabolic dysfunction-associated steatotic liver disease: where are we today?

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is defined by hepatic steatosis and cardiometabolic risk factors like obesity, type 2 diabetes, and dyslipidemia. Persistent metabolic injury may promote inflammatory processes resulting in metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis. Mechanistic insights helped to identify potential drug targets, thereby supporting the development of novel compounds modulating disease drivers. AREAS COVERED: The U.S. Food and Drug Administration has recently approved the thyroid hormone receptor ß-selective thyromimetic resmetirom as the first compound to treat MASH and liver fibrosis. This review provides a comprehensive overview of current and potential future pharmacotherapeutic options and their modes of action. Lessons learned from terminated clinical trials are discussed together with the first results of trials investigating novel combinational therapeutic approaches. EXPERT OPINION: Approval of resmetirom as the first anti-MASH agent may revolutionize the therapeutic landscape. However, long-term efficacy and safety data for resmetirom are currently lacking. In addition, heterogeneity of MASLD reflects a major challenge to define effective agents. Several lead compounds demonstrated efficacy in reducing obesity and hepatic steatosis, while anti-inflammatory and antifibrotic effects of monotherapy appear less robust. Better mechanistic understanding, exploration of combination therapies, and patient stratification hold great promise for MASLD therapy.

Effects of Bulleyaconitine A on Extracellular Matrix Secretion and Expression of Related Proteins in Acetaldehyde-Activated Hepatic Stellate Cells.

Activated hepatic stellate cells differentiate into myofibroblasts, which synthesize and secrete extracellular matrix (ECM) leading to liver fibrosis. It was previously demonstrated that bulleyaconitine A (BLA), an alkaloid from Aconitum bulleyanum, inhibits proliferation and promotes apoptosis of human hepatic Lieming Xu-2 (LX-2) cells. In this study, we analyzed the effect of BLA on the production of ECM and related proteins by LX-2 cells activated with acetaldehyde (AA). The cells were randomized into the control group, AA group (cells activated with 400 µM AA), and BLA+AA group (cells cultured in the presence of 400 µM AA and 18.75 µg/ml BLA). In the BLA+AA group, the contents of collagens I and III and the expression of α-smooth muscle actin and transforming growth factor-ß1 (TGF-ß1) were statistically significantly higher than in the control, but lower than in the AA group. Expression of MMP-1 in the BLA+AA group was also significantly higher than in the AA group, but lower than in the control. Expression of TIMP-1 in the BLA+AA group was significantly higher than in the control, but lower than in the AA group. Thus, BLA suppressed activation and proliferation of LX-2 cells by inhibiting TGF-ß1 signaling pathway and decreasing the content of collagens I and III by reducing the MMP-1/TIMP-1 ratio.

Therapeutic Effect of Melatonin on CCl4-Induced Fibrotic Liver Model by Modulating Oxidative Stress, Inflammation, and TGF-ß1 Signaling Pathway in Pinealectomized Rats.

The study aimed to determine the CCl4-induced liver fibrosis model in pinealectomized rats and biochemically, immunohistochemically, and histopathologically investigate the therapeutic effect of melatonin on liver fibrosis. The surgical procedure for pinealectomy was performed at the beginning of the study, and the sham and pinealectomized rats were administered CCl4 dissolved in corn oil (1:1) alone every other day to induce liver fibrosis or together with melatonin (10 mg/kg) therapy for 15 days. Melatonin is an essential therapeutic agent and offers an alternative therapeutic strategy in CCl4-induced liver fibrosis by suppressing inflammation, oxidative stress, and the TGF-ß1 signaling pathway. Treatment with melatonin ameliorated CCl4-induced liver fibrosis by restoring hepatocellular damage and reducing plasma AST, ALT, and ALP values. Melatonin increases the activity of SOD and CAT, which are important enzymes for antioxidant defence, and raises GSH levels, which further enhances antioxidant function. Also, melatonin reduced hepatic inflammation (IL-6 and IL-1ß) and oxidative stress indices. Moreover, histopathological changes and immunohistochemical expression of TGF-ß1 were restored following melatonin supplementation in the CCl4-induced liver fibrosis model in pinealectomized rats. Our study shows that melatonin supplementation has a beneficial effect in protecting the liver fibrosis induced by CCl4 in pinealectomized rats.

Enhanced Liver Fibrosis Score for Diagnosing Liver Fibrosis in Chronic Hepatitis.

Background and aims: The enhanced liver fibrosis (ELF) score is a blood test that combines three markers linked to liver fibrosis. The utility of the ELF score has been demonstrated primarily in Western countries, but whether it is useful in areas with a high number of elderly people suffering from chronic liver disease has yet to be determined. Methods: This is a prospective study that included 373 consecutive patients who underwent a liver biopsy and had their ELF score measured on the same day. The diagnostic accuracy of the ELF score for liver fibrosis and the effect of age on the ELF score were investigated. Results: The median (interquartile) ELF scores in F0, F1, F2, F3, and F4 are 8.7 (8.2-9.2), 9.3 (8.8-10.0), 10.1 (9.4-10.7), 10.7 (9.9-11.2), and 12.0 (11.2-12.7), respectively. ELF scores increased with increasing liver fibrosis stage (p < 0.001). The diagnostic accuracy of the ELF score and FIB-4 for significant fibrosis (F2-4) and advanced fibrosis (F3-4) was comparable, but the ELF score had a higher diagnostic accuracy for cirrhosis (F4) than FIB-4. When patients were stratified by age of 60 years, the median ELF score did not differ by age in F2, F3, and F4. However, the median FIB-4 increased in patients with ≥60 years compared to those with <60 years in all fibrosis stages. Conclusions: ELF score has high diagnostic accuracy for liver fibrosis, regardless of age, and it could be used as a primary screening method.

Ficus hirta Vahl. ameliorates liver fibrosis by triggering hepatic stellate cell ferroptosis through GSH/GPX4 pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Ficus hirta Vahl., a traditional Chinese medicine commonly used in the Lingnan region, has been extensively used for liver diseases treatment in China. Its notable antioxidant and anti-inflammatory properties have reported in previous studies. However, its potential effect and underlying mechanism on liver fibrosis remains unclear. AIM OF STUDY: This study was aimed to investigate the mechanism underlying the treatment of liver fibrosis using Ficus hirta Vahl in vitro and in vivo. MATERIALS AND METHODS: The main components of Ficus hirta Vahl in blood were investigated by using UPLC-Q/TOF-MS/MS. Two animal models of liver fibrosis, the CCl4 and MCD induced mice, were used to assess the efficacy of Ficus hirta Vahl on liver fibrosis. Metabolomics was used to detect the level of metabolites in serum of liver fibrosis mice after Ficus hirta Vahl treatment. Furthermore, the mechanism was validated in vitro using the human liver stellate cell line LX-2. The binding affinities of the active ingredients of Ficus hirta Vahl to the main targets of liver fibrosis were also determined. Finally, we identified the key active ingredients responsible for the treatment of liver fibrosis in vivo. RESULTS: Fibrosis and inflammatory markers were significant down-regulation in both CCl4 and MCD induced liver fibrosis mice after Ficus hirta Vahl administration in a dose-dependent manner. We found that Ficus hirta Vahl may primarily exert its effect on liver fibrosis through the glutathione metabolic pathway. Importantly, the glutathione metabolic pathway is closely associated with ferroptosis, and our subsequent in vitro experiments provided evidence supporting this association. Ficus hirta Vahl was found to modulate the GSH/GPX4 pathway, ultimately leading to the amelioration of liver fibrosis. Moreover, using serum pharmacochemistry and molecular docking, we successfully identified apigenin as a probable efficacious monomer for the management of liver fibrosis and subsequently validated its efficacy in mice with CCl4-induced hepatic fibrosis. CONCLUSION: Ficus hirta Vahl triggered hepatic stellate cell ferroptosis by regulating the GSH/GPX4 pathway, thereby alleviating liver fibrosis. Moreover, apigenin is a key compound in Ficus hirta Vahl responsible for the effective treatment of liver fibrosis.

The association between liver fibrosis score and incident dementia: A nationwide retrospective cohort study.

BACKGROUND: We assessed the relationship of liver fibrosis score with incident dementia in a large, national sample. METHODS: For this retrospective cohort study, data of dementia-free individuals aged 40-69 years were derived from electronic records of the largest healthcare provider in Israel. The association between liver fibrosis score (FIB-4), assessed from routine laboratory measurements, and incident dementia was explored through multivariate cox regression models. RESULTS: Of the total sample (N = 826,578, mean age 55 ± 8 years at baseline), 636,967 (77%) had no fibrosis, 180,114 (21.8%) had inconclusive fibrosis status and 9497 (1.2%) had high risk for advanced fibrosis. Over a median follow-up of 17 years, 41,089 dementia cases were recorded. Inconclusive liver fibrosis and advanced fibrosis were associated with increased dementia risk (HR = 1.09, 95%CI: 1.07-1.11 and HR = 1.18, 95%CI: 1.10-1.27, respectively). This association remained robust through seven sensitivity analyses. CONCLUSIONS: Liver fibrosis assessed through a serum-based algorithm may serve as a risk factor for dementia in the general population. HIGHLIGHTS: Liver fibrosis may predict dementia diagnosis in the general population. Inconclusive liver fibrosis was associated with 9% increased dementia risk. Advanced liver fibrosis was associated with 18% increased dementia risk. Findings remained robust in sensitivity analyses and after adjustments.

Artificial intelligence-assisted identification and retrieval of chronic hepatitis C patients lost to follow-up in the health area of Pontevedra and O Salnés (Spain).

OBJECTIVE: Direct-acting antivirals (DAAs) to treat hepatitis C virus (HCV) infection offer an opportunity to eliminate the disease. This study aimed to identify and relink to care HCV patients previously lost to medical follow-up in the health area of Pontevedra and O Salnés (Spain) using an artificial intelligence-assisted system. PATIENTS AND METHODS: Active retrospective search of previously diagnosed HCV cases recorded in the Galician Health Service proprietary health information exchange database using the Herramientas para la EXplotación de la INformación (HEXIN) application. RESULTS AND CONCLUSIONS: Out of 99 lost patients identified, 64 (64.6%) were retrieved. Of these, 62 (96.88%) initiated DAA treatment and 54 patients (87.1%) achieved a sustained virological response. Mean time from HCV diagnosis was over 10 years. Main reasons for loss to follow-up were fear of possible adverse effects of treatment (30%) and mobility impediments (21%). Among the retrieved patients, almost one in three presented advanced liver fibrosis (F3) or cirrhosis (F4) at evaluation. In sum, HCV patients lost to follow-up can be retrieved by screening past laboratory records. This strategy promotes the achievement of HCV elimination goals.

Increase Toll-like receptors 2 and 4 in apical periodontitis of rats with chronic liver disease.

The aim of this study was to evaluate the influence of liver fibrosis (LF) on the expression of Toll-like receptors (TLR) 2 and 4 in apical periodontitis (AP) in Wistar rats. Forty Wistar rats were allocated in the following groups (n = 10): C-control; AP-apical periodontitis; LF-liver fibrosis; AP + LF-rats with AP and LF. LF and AP were induced by established methodologies. Histological, bacteriological, and immunohistochemical analyses were performed according to pre-established scores. For comparisons between AP and AP + LF groups, the Mann-Whitney test was used (P < .05). The livers of the LF and AP + LF groups showed generalized portal inflammatory infiltrate and collagen fibers confirming the presence of LF. Histopathological analysis in the maxilla of the AP + LF group showed areas of necrosis comprising the entire dental pulp and periapical tissue surrounded by a more intense inflammatory infiltrate than observed in the AP group (P = 0.032). A significant number of specimens in the AP + LF group showed microorganisms beyond the apical foramen adhered to the extraradicular biofilm, demonstrating greater invasion compared to the AP group (P = .008). Immunohistochemical analysis showed a large number of cells immunoreactive for TLR2 and TLR4 in the AP + LF group, compared to the AP group (P < 0.05). Liver fibrosis favors the inflammation and contamination of microorganisms in apical periodontitis and triggers the expression of TLR2 and TLR4, modulating innate immunity response in periapical lesions.

Diagnostic performance of two-dimensional shear wave elastography and attenuation imaging for fibrosis and steatosis assessment in chronic liver disease.

PURPOSE: We investigated the diagnostic performance of two-dimensional shear wave elastography (2D-SWE) and attenuation imaging (ATI) in detecting fibrosis and steatosis in patients with chronic liver disease (CLD), comparing them with established methods. METHODS: In 190 patients with CLD, 2D-SWE and vibration-controlled transient elastography (VCTE) were used for liver stiffness measurement (LSM), and ATI and controlled attenuation parameter (CAP) were used for steatosis quantification. The correlations between these new and established methods were analyzed. RESULTS: Significant correlations were found between 2D-SWE and VCTE (r = 0.78, P < 0.001), and between ATI and CAP (r = 0.70, P < 0.001). Liver stiffness tended to be lower with 2D-SWE compared with that with VCTE, especially in cases with higher LSM, and ATI was less influenced by skin-capsular distance than CAP. Area under the receiver-operating characteristics curves (AUCs) and optimal cut-offs of 2D-SWE for diagnosing liver fibrosis stages F2, F3, and F4 were 0.73 (8.7 kPa), 0.79 (9.1 kPa), and 0.88 (11.6 kPa), respectively. The AUCs and optimal cut-offs of ATI for diagnosing hepatic steatosis grades S1, S2, and S3 were 0.91 (0.66 dB/cm/MHz), 0.80 (0.79 dB/cm/MHz), and 0.88 (0.86 dB/cm/MHz), respectively. A subgroup analysis of 86 patients with metabolic dysfunction-associated steatotic liver disease also demonstrated good performance for 2D-SWE and ATI. CONCLUSION: 2D-SWE and ATI performed comparably with conventional VCTE and CAP in evaluating CLD, offering reliable alternatives for diagnosing liver fibrosis and steatosis.

[Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators].

OBJECTIVE: To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. METHODS: Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People's Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients'radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients'radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. RESULTS: The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = -5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. CONCLUSIONS: The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

LncRNA Snhg12/IGFBP3 axis is involved in liver fibrosis by promoting the proliferation and activation of mouse hepatic stellate cells.

Liver fibrosis is a persistent damage repair response triggered by various injury factors, which leads to an abnormal accumulation of extracellular matrix within liver tissue samples. The current clinical treatment of liver fibrosis is currently ineffective; therefore, elucidating the mechanism of liver fibrogenesis is of significant importance. Herein, the function and related mechanisms of lncRNA Snhg12 within hepatic fibrosis were investigated. Snhg12 expression was shown to be increased in mouse hepatic fibrotic tissue samples, and Snhg12 knockdown suppressed hepatic pathological injury and down-regulated the expression levels of fibrosis-associated proteins. Mechanistically, Snhg12 played a role in the early activation of mouse hepatic stellate cells (mHSCs) based on bioinformatics analysis, and Snhg12 was positively correlated with Igfbp3 expression. Further experimental results demonstrated that Snhg12 knockdown impeded mHSCs proliferation and activation and also downregulated the protein expression of Igfbp3. Snhg12 could interact with IGFBP3 and boost its protein stability, and overexpression of Igfbp3 partially reversed the inhibition of mHSCsproliferation and activation by the knockdown of Snhg12. In conclusion, LncRNA Snhg12 mediates liver fibrosis by targeting IGFBP3 and promoting its protein stability, thereby promoting mHSC proliferation and activation. Snhg12 has been identified as an underlying target for treating liver fibrosis.

Screening for metabolic dysfunction-associated fatty liver disease: Time to discard the emperor's clothes of normal liver enzymes?

Metabolic dysfunction-associated fatty liver disease (MAFLD) is the most prevalent chronic liver condition worldwide. Current liver enzyme-based screening methods have limitations that may missed diagnoses and treatment delays. Regarding Chen et al, the risk of developing MAFLD remains elevated even when alanine aminotransferase levels fall within the normal range. Therefore, there is an urgent need for advanced diagnostic techniques and updated algorithms to enhance the accuracy of MAFLD diagnosis and enable early intervention. This paper proposes two potential screening methods for identifying individuals who may be at risk of developing MAFLD: Lowering these thresholds and promoting the use of noninvasive liver fibrosis scores.

S-glutathionylation in hepatocytes is involved in arsenic-induced liver fibrosis through activation of the NLRP3 inflammasome, an effect alleviated by NAC.

Arsenic, a toxicant widely distributed in the environment, is considered as a risk factor for liver fibrosis. At present, the underlying mechanism still needs to be explored. In the present study, we found that, for mice, chronic exposure to arsenic induced liver fibrosis, activated the NLRP3 inflammasome, and increased the levels of reactive oxygen species (ROS). After hepatocytes were co-cultured with hepatic stellate cells (HSCs), we observed the arsenic-activated NLRP3 inflammasome in hepatocytes, and the co-cultured HSCs were activated. Further, we found that, in livers of mice, arsenic disturbed GSH metabolism and promoted protein S-glutathionylation. A 3D molecular docking simulation suggested that NLRP3 binds with GSH, which was confirmed by immunoprecipitation experiments. N-acetylcysteine (NAC) increased the levels of GSH in hepatocytes, which suppressed the S-glutathionylation of NLRP3 and blocked arsenic-induced activation of the NLRP3 inflammasome. Mechanistically, an imbalance of the redox state induced by arsenic promotes the S-glutathionylation of NLRP3, which regulates activation of the NLRP3 inflammasome, leading into the activation of HSCs. Moreover, NAC increases the levels of GSH to block arsenic-induced S-glutathionylation of NLRP3, thereby blocking arsenic-induced liver fibrosis. Thus, via activating HSCs, the S-glutathionylation of NLRP3 in hepatocytes is involved in arsenic-induced liver fibrosis, and, for hepatocytes, NAC alleviates these effects by increasing the levels of GSH. These results reveal a new mechanism and provide a possible therapeutic target for the liver fibrosis induced by environmental factors.

Simultaneous grading diagnosis of liver fibrosis, inflammation, and steatosis using multimodal quantitative ultrasound and artificial intelligence framework.

Noninvasive, accurate, and simultaneous grading of liver fibrosis, inflammation, and steatosis is valuable for reversing the progression and improving the prognosis quality of chronic liver diseases (CLDs). In this study, we established an artificial intelligence framework for simultaneous grading diagnosis of these three pathological types through fusing multimodal tissue characterization parameters dug by quantitative ultrasound methods derived from ultrasound radiofrequency signals, B-mode images, shear wave elastography images, and clinical ultrasound systems, using the liver biopsy results as the classification criteria. One hundred forty-two patients diagnosed with CLD were enrolled in this study. The results show that for the classification of fibrosis grade ≥ F1, ≥ F2, ≥ F3, and F4, the highest AUCs were respectively 0.69, 0.82, 0.84, and 0.88 with single clinical indicator alone, and were 0.81, 0.83, 0.89, and 0.91 with the proposed method. For the classification of inflammation grade ≥ A2 and A3, the highest AUCs were respectively 0.66 and 0.76 with single clinical indicator alone and were 0.80 and 0.93 with the proposed method. For the classification of steatosis grade ≥ S1 and ≥ S2, the highest AUCs were respectively 0.71 and 0.90 with single clinical indicator alone and were 0.75 and 0.92 with the proposed method. The proposed method can effectively improve the grading diagnosis performance compared with the present clinical indicators and has potential applications for noninvasive, accurate, and simultaneous diagnosis of CLDs.

Metagenomic comparison of intestinal microbiota between normal and liver fibrotic rhesus macaques (Macaca mulatta).

Liver fibrosis is an important pathological process in chronic liver disease and cirrhosis. Recent studies have found a close association between intestinal microbiota and the development of liver fibrosis. To determine whether there are differences in the intestinal microbiota between rhesus macaques with liver fibrosis (MG) and normal rhesus macaques (MN), fecal samples were collected from 8 male MG and 12 male MN. The biological composition of the intestinal microbiota was then detected using 16S rRNA gene sequencing. The results revealed statistically significant differences in ASVs and Chao1 in the alpha-diversity and the beta-diversity of intestinal microbiota between MG and MN. Both groups shared Prevotella and Lactobacillus as common dominant microbiota. However, beneficial bacteria such as Lactobacillus were significantly less abundant in MG (P = 0.02). Predictive functional analysis using PICRUSt2 gene prediction revealed that MG exhibited a higher relative abundance of functions related to substance transport and metabolic pathways. This study may provide insight into further exploration of the mechanisms by which intestinal microbiota affect liver fibrosis and its potential future use in treating liver fibrosis.

Depletion of Activated Hepatic Stellate Cells and Capillarized Liver Sinusoidal Endothelial Cells Using a Rationally Designed Protein for Nonalcoholic Steatohepatitis and Alcoholic Hepatitis Treatment.

Nonalcoholic steatohepatitis (NASH) and alcoholic hepatitis (AH) affect a large part of the general population worldwide. Dysregulation of lipid metabolism and alcohol toxicity drive disease progression by the activation of hepatic stellate cells and the capillarization of liver sinusoidal endothelial cells. Collagen deposition, along with sinusoidal remodeling, alters sinusoid structure, resulting in hepatic inflammation, portal hypertension, liver failure, and other complications. Efforts were made to develop treatments for NASH and AH. However, the success of such treatments is limited and unpredictable. We report a strategy for NASH and AH treatment involving the induction of integrin αvß3-mediated cell apoptosis using a rationally designed protein (ProAgio). Integrin αvß3 is highly expressed in activated hepatic stellate cells (αHSCs), the angiogenic endothelium, and capillarized liver sinusoidal endothelial cells (caLSECs). ProAgio induces the apoptosis of these disease-driving cells, therefore decreasing collagen fibril, reversing sinusoid remodeling, and reducing immune cell infiltration. The reversal of sinusoid remodeling reduces the expression of leukocyte adhesion molecules on LSECs, thus decreasing leukocyte infiltration/activation in the diseased liver. Our studies present a novel and effective approach for NASH and AH treatment.

TIMP-1 Promotes Expression of MCP-1 and Macrophage Migration by Inducing Fli-1 in Experimental Liver Fibrosis.

Background and Aims: Tissue inhibitor of metalloproteinase-1 (TIMP-1) plays a role in the excessive generation of extracellular matrix in liver fibrosis. This study aimed to explore the pathways through which TIMP-1 controls monocyte chemoattractant protein-1 (MCP-1) expression and promotes hepatic macrophage recruitment. Methods: Liver fibrosis was triggered through carbon tetrachloride, and an adeno-associated virus containing small interfering RNA targeting TIMP-1 (siRNA-TIMP-1) was administered to both rats and mice. We assessed the extent of fibrosis and macrophage recruitment. The molecular mechanisms regulating macrophage recruitment by TIMP-1 were investigated through transwell migration assays, luciferase reporter assays, the use of pharmacological modulators, and an analysis of extracellular vesicles (EVs). Results: siRNA-TIMP-1 alleviated carbon tetrachloride-induced liver fibrosis, reducing macrophage migration and MCP-1 expression. Co-culturing macrophages with hepatic stellate cells (HSCs) post-TIMP-1 downregulation inhibited macrophage migration. In siRNA-TIMP-1-treated HSCs, microRNA-145 (miRNA-145) expression increased, while the expression of Friend leukemia virus integration-1 (Fli-1) and MCP-1 was inhibited. Downregulation of Fli-1 led to decreased MCP-1 expression, whereas Fli-1 overexpression increased MCP-1 expression within HSCs. Transfection with miRNA-145 mimics reduced the expression of both Fli-1 and MCP-1, while miRNA-145 inhibitors elevated the expression of both Fli-1 and MCP-1 in HSCs. miRNA-145 bound directly to the 3'-UTR of Fli-1, and miRNA-145-enriched EVs secreted by HSCs after TIMP-1 downregulation influenced macrophage recruitment. Conclusions: TIMP-1 induces Fli-1 expression through miRNA-145, subsequently increasing MCP-1 expression and macrophage recruitment. MiRNA-145-enriched EVs from HSCs can transmit biological information and magnify the function of TIMP-1.

Effectiveness of human adipose tissue-derived mesenchymal stem cells expressing alpha-1 antitrypsin gene in liver fibrosis: a study in mice.

Aim: The present study examined the protective potential of human adipose tissue-derived mesenchymal stem cells (hASCs) modified to overexpress alpha-1 antitrypsin (AAT), in a mouse model of the liver fibrosis. Background: For the treatment of end-stage liver diseases, cell therapy has emerged as a promising noninvasive alternative to liver transplantation. Mesenchymal stem cells (MSCs) are being evaluated due to their dual capabilities of promoting liver regeneration and modulating the pathogenic inflammation of the immune system. Methods: Liver fibrosis was induced in mice via the intraperitoneal injection of carbon tetrachloride (CCl4). MSCs were extracted from the human adipose tissue. After stemness confirmation, the cells were transduced with the lentiviruses containing the AAT gene, and then injected into the mice's tail vein. Fourteen days' post-transplantation, mice were sacrificed, and blood and tissue samples were collected for analysis. Important liver enzymes, including alanine transaminase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), albumin, and total bilirubin (TB), were measured. Histological studies were carried out using the hematoxylin and eosin (H&E), as well as Masson's trichrome (MT) staining. Results: Compared to hASCs, treatment with AAT-hASCs resulted in greater reductions in ALT, AST, ALP, and TB, as well as normalized albumin levels. AAT-hASCs promoted enhanced liver regeneration histologically, likely attributable to anti-inflammatory and anti-proteolytic properties of AAT. Conclusion: These findings indicate AAT-engineered hASCs as a promising cell-gene therapy candidate for further study in liver cirrhosis models.