Biomarkers Of Liver Fibrosis Research Articles

Prognostic Value of Fibrosis-4 in Acute Ischemic Stroke Patients Undergoing Intravenous Thrombolysis.

Although recombinant tissue plasminogen activator (rt-PA) treatment is efficient in patients with acute ischemic stroke (AIS), a significant percentage of patients who received rt-PA intravenous thrombolysis (IVT) do not achieve a good prognosis. Therefore, the factors that affect the poor prognosis of patients with IVT are needed. The Fibrosis-4 (FIB-4) index has been used as a liver fibrosis biomarker. We aimed to investigate the relationship between the FIB-4 index and functional outcomes in patients with AIS receiving IVT. This study prospectively included consecutive patients with AIS receiving IVT between April 2015 and May 2022. We collected clinical and laboratory data and calculated the FIB-4 index. Clinical outcome was poor functional outcome (mRS ≥3) at 3 months after IVT. Multivariate logistic regression analysis was used to analyze the association between FIB-4 and outcome. We explored the interactive effect of FIB-4 and dyslipidemia on poor outcomes, and subgroup analysis was performed. Furthermore, an individualized prediction model based on the FIB-4 for functional outcome was established in the dyslipidemia group. A total of 1135 patients were included, and 41.50% had poor 3-month outcomes. After adjusted by other variants that P value <0.05 in univariable analysis, FIB-4 was independently associated with poor outcomes (OR=1.420; 95% CI: 1.113-1.812; P=0.004). There was a significant interaction between FIB-4 and dyslipidemia on poor outcome (P=0.036), and the independent association between FIB-4 and poor outcome was maintained in the dyslipidemia subgroup (OR=1.646; 95% CI: 1.228-2.206; P=0.001). Furthermore, in the dyslipidemia group, the FIB-4-based prediction model had good predictive value (the AUC of the training and validation sets were 0.767 and 0.708, respectively), good calibration (P-values for the Hosmer-Lemeshow test >0.05), and clinical usefulness. FIB-4 is an independent risk factor for poor outcomes in IVT patients with dyslipidemia, which can be used as a simple predictor of their prognosis.

Hepatic stellate cell single cell atlas reveals a highly similar activation process across liver disease aetiologies

Background & AimsThe progression of chronic liver disease (CLD) is characterized by excessive extracellular matrix deposition, disrupting hepatic architecture and function. Upon liver injury, hepatic stellate cells (HSCs) differentiate towards myofibroblasts and become inflammatory, proliferative and fibrogenic. To date it is still unclear whether HSC activation is driven by similar mechanisms in different aetiologies. MethodsHSCs from multiple publicly available single-cell RNA-sequencing datasets were annotated and merged into a single-cell HSC activation atlas. Spheroid co-cultures of primary mouse hepatocytes/HSCs (n=5) and ELISAs on patient plasma samples (n=80) were performed to validate the mechanistic insight obtained from the HSC atlas. ResultsWe established an HSC activation atlas in which HSCs are clearly divided into 3 distinct transcriptomic profiles: quiescent HSCs, initiatory HSCs and myofibroblasts. These transcriptomic profiles are present in each of the investigated mouse liver injury models as well as in human chronic liver diseases, indicating that HSC activation is a conserved process. This activation process is driven by a core set of transcription factors independent of liver injury or species. Furthermore, we reveal novel ligands associated with activation of HSCs in multiple liver injury models and validate the profibrotic effect of parathyroid hormone. Finally, we identify COLEC10 as a conserved marker for quiescent HSCs and a biomarker of liver fibrosis in patients with different CLDs (p<0.0001). ConclusionsWe reveal unexpected similarities in the regulatory mechanisms of HSCs across diverse liver injury settings and species. The HSC activation atlas has the potential to provide novel insights into liver fibrosis and steer novel treatment options. Impact and implicationsThis study establishes a single-cell atlas of hepatic stellate cells across various liver injuries, highlighting a conserved activation process between different injuries and across species. The discovery of novel activating ligands and the biomarker COLEC10 in human plasma enhances diagnostic and therapeutic strategies. Additionally, the conserved activation process supports the use of any mouse model for mechanistic studies and testing of new anti-fibrotic compounds, streamlining preclinical research efforts.

A combination model of CT-based radiomics and clinical biomarkers for staging liver fibrosis in the patients with chronic liver disease

A combined model was developed using contrast-enhanced CT-based radiomics features and clinical characteristics to predict liver fibrosis stages in patients with chronic liver disease (CLD). We retrospectively analyzed multiphase CT scans and biopsy-confirmed liver fibrosis. 160 CLD patients were randomly divided into 7:3 training/validation ratio. Clinical laboratory indicators associated with liver fibrosis were identified using Spearman's correlation and multivariate logistic regression correlation. Radiomic features were extracted after segmenting the entire liver from multiphase CT images. Feature dimensionality reduction was performed using RF-RFE, LASSO, and mRMR methods. Six radiomics-based models were developed in the training cohort of 112 patients. Internal validation was conducted on 48 randomly assigned patients. Receptor Operating Characteristic (ROC) curves and confusion matrices were constructed to evaluate model performance. The radiomics model exhibited robust performance, with AUC values of 0.810 to 1.000 for significant fibrosis, advanced fibrosis, and cirrhosis. The integrated clinical-radiomics model had superior diagnostic efficacy in the validation cohort, with AUC values of 0.836 to 0.997. Moreover, these models outperformed established biomarkers such as the aspartate aminotransferase to platelet ratio index (APRI) and the fibrosis 4 score (FIB-4), as well as the gamma glutamyl transpeptidase to platelet ratio (GPR), in predicting the fibrotic stages. The clinical-radiomics model holds considerable promise as a non-invasive diagnostic tool for the assessment and staging of liver fibrosis in the patients with CLD, potentially leading to better patient management and outcomes.

Associations between per- and polyfluoroalkyl substance exposures and metabolic dysfunction associated steatotic liver disease (MASLD) in adult National Health and Nutrition Examination Survey 2017 to 2018.

Per- and polyfluoroalkyl substances (PFAS) are persistent organic pollutants previously associated with elevated liver enzymes in human cohorts and steatotic liver disease in animal models. We aimed to evaluate the associations between PFAS exposures, and liver enzymes and vibration controlled transient elastography (VCTE) biomarkers of metabolic dysfunction associated steatotic liver disease (MASLD) in adult National Health and Nutrition Examination Survey (NHANES) 2017 to 2018. VCTE was determined by FibroScan. Serum PFAS (n = 14), measured by mass spectrometry, were analyzed individually and by principal component (PC). Univariate and multivariable associations were determined between PFAS exposures and liver disease outcome variables: alanine aminotransferase (ALT), controlled attenuation parameter (CAP), liver stiffness measurement (LSM), FibroScan-based Score (FAST), using R. About 1,400 participants including 50% women with a mean age of 48 ± 19 years and a mean BMI of 29 ± 7 kg/m2 were analyzed. Four PFAS clustered to PC1, whereas 3 PFAS clustered to PC2. PC1 was significantly associated with ALT (β = 0.028), CAP (β = 0.041), LSM (β = 0.025), and FAST (β = 0.198) in univariate analysis. Individual PFAS exposures were oftentimes inversely associated with these measurements in multivariate analysis. In adult NHANES 2017-2018, PFAS may not be a significant burden for MASLD, because of the inconsistent associations between the environmental PFAS exposures and biomarkers of liver steatosis, inflammation, and fibrosis. More data are required to better understand the relationships between PFAS exposures and liver disease.

The galectin-3 inhibitor selvigaltin reduces liver inflammation and fibrosis in a high fat diet rabbit model of metabolic-associated steatohepatitis.

Galectin-3 is a pro-fibrotic β-galactoside binding lectin highly expressed in fibrotic liver and implicated in hepatic fibrosis. Selvigaltin (previously known as GB1211) is a novel orally active galectin-3 small molecule inhibitor that has high affinity for galectin-3 (human KD = 25nM; rabbit KD = 12nM) and high oral bioavailability in rabbits and man. In this study the efficacy of selvigaltin was investigated in a high fat diet (HFD) rabbit model of metabolic-associated steatohepatitis (MASH). Male New Zealand White rabbits were individually caged under standard conditions in a temperature and humidity-controlled room on a 12h light/darkness cycle. After 1week of regular diet (RD), rabbits were randomly assigned for 8 or 12weeks to different groups: RD/vehicle, RD/selvigaltin, HFD (8weeks), HFD/vehicle and HFD/selvigaltin (0.3, 1.0, 5.0 or 30mg/kg selvigaltin with vehicle/selvigaltin p.o. dosed therapeutically q.d. 5days per week from week 9 or 12). Liver inflammation, steatosis, ballooning, and fibrosis was measured via blood metabolic markers, histomorphological evaluation [Oil Red O, Giemsa, Masson's trichome, picrosirius red (PSR) and second harmonic generation (SHG)], and mRNA and protein expression. Steatosis, inflammation, ballooning, and fibrosis were all increased from RD to HFD/vehicle groups. Selvigaltin demonstrated target engagement by significantly decreasing galectin-3 levels in the liver as measured via immunohistochemistry and mRNA analysis. Selvigaltin dose-dependently reduced biomarkers of liver function (AST, ALT, bilirubin), inflammation (cells foci), and fibrosis (PSR, SHG), as well as decreasing the mRNA and protein expression of several key inflammation and fibrosis biomarkers (e.g., IL6, TGFβ3, SNAI2, collagen). Doses of 1.0 or 5.0mg/kg demonstrated consistent efficacy across most biological endpoints supporting the current clinical doses of selvigaltin being investigated in liver disease. Selvigaltin significantly reduced hepatic inflammation and fibrosis in an HFD rabbit model of MASH following therapeutic dosing for 4 weeks in a dose-dependent manner. These data support the human selvigaltin dose of 100mg b.i.d. that has been shown to reduce key liver biomarkers during a clinical study in liver cirrhosis.

Probiotics may be useful for drug-induced liver dysfunction in patients with depression – A secondary analysis of a randomized clinical trial

Background & AimsThere is a need to identify new treatment options for depression with its comorbidities. Depression often coexists with liver steatosis and the two may share a pathophysiological overlap, including inflammation and microbiota changes. Probiotics might represent a safe option as an adjunctive therapy in patients with depression and possible liver steatosis. The paper presents the secondary analysis of a clinical trial of the effect of probiotic supplementation on the levels of non-invasive markers of liver steatosis and fibrosis in adult patients with depressive disorders. MethodsThe research had a two-arm, parallel-group, prospective, randomized, double-blind, controlled design on probiotics in depression. 116 participants received a probiotic preparation containing Lactobacillus helveticus Rosell®-52 and Bifidobacterium longum Rosell®-175 over 60 days. Here, data from 92 subjects was analyzed. The following were assessed: alanine aminotransferase (ALT), alanine aminotransferase/aspartate aminotransferase (ALT/AST) ratio, Hepatic Steatosis Index, Framingham Steatosis Index, as well as non-invasive biomarkers of liver fibrosis (AST to Platelet Ratio Index, Fibosis-4 Index), or baseline socio-demographic, clinical, and laboratory parameters. ResultsThe probiotics did not influence liver steatosis and fibrosis parameters compared with placebo (p=.940 for HSI). However, the subgroup analysis revealed significant differences in liver-related parameters when stratified by the main diagnosis group (better improvement in steatosis indices after probiotics in depressive episode than mixed depression and anxiety disorder patients) or psychotropic medications use (better improvement in ALT-based indices after probiotics in antidepressant-treated subjects than those non-antidepressant-treated). The interplay between probiotics, medications, clinical and metabolic profiles of depression, and the changes in liver-related parameters has been discussed. ConclusionsMultiple factors may modulate the postulated hepatoprotective properties of probiotics efficacy in patients with depression. Further studies with larger sample sizes, different probiotic strains, and longer intervention period are necessary to assess the real significance of probiotics for liver health in this population. ClinicalTrials.gov identifierNCT04756544.

New Biomarkers in Liver Fibrosis: A Pass through the Quicksand?

Chronic liver diseases (CLD) stem from various causes and lead to a gradual progression that ultimately may result in fibrosis and eventually cirrhosis. This process is typically prolonged and asymptomatic, characterized by the complex interplay among various cell types, signaling pathways, extracellular matrix components, and immune responses. With the prevalence of CLD increasing, diagnoses are often delayed, which leads to poor prognoses and in some cases, the need for liver transplants. Consequently, there is an urgent need for the development of novel, non-invasive methods for the diagnosis and monitoring of CLD. In this context, serum biomarkers-safer, repeatable, and more acceptable alternatives to tissue biopsies-are attracting significant research interest, although their clinical implementation is not yet widespread. This review summarizes the latest advancements in serum biomarkers for detecting hepatic fibrogenesis and advocates for concerted efforts to consolidate current knowledge, thereby providing patients with early, effective, and accessible diagnoses that facilitate personalized therapeutic strategies.

Value of Mac-2 Binding Protein Glycosylation Isomer (M2BPGi) in Assessing Liver Fibrosis in Metabolic Dysfunction-Associated Liver Disease: A Comprehensive Review of its Serum Biomarker Role.

Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) is a broad condition characterized by lipid accumulation in the liver tissue, which can progress to fibrosis and cirrhosis if left untreated. Traditionally, liver biopsy is the gold standard for evaluating fibrosis. However, non-invasive biomarkers of liver fibrosis are developed to assess the fibrosis without the risk of biopsy complications. Novel serum biomarkers have emerged as a promising tool for non-invasive assessment of liver fibrosis in MAFLD patients. Several studies have shown that elevated levels of Mac-2 binding protein glycosylation isomer (M2BPGi) are associated with increased liver fibrosis severity in MAFLD patients. This suggests that M2BPGi could serve as a reliable marker for identifying individuals at higher risk of disease progression. Furthermore, the use of M2BPGi offers a non-invasive alternative to liver biopsy, which is invasive and prone to sampling errors. Overall, the usage of M2BPGi in assessing liver fibrosis in MAFLD holds great promise for improving risk stratification and monitoring disease progression in affected individuals. Further research is needed to validate its utility in clinical practice and establish standardized protocols for its implementation.

Assessment of Galectin 3 as a New Biomarker of Liver Fibrosis in Chronic HCV Egyptian Patients and its Correlation to Transient Elastography, FIB-4 Index, and APRI Score

Abstract Background Invasive liver biopsy is the current method for the assessment of liver fibrosis. In search of noninvasive alternatives, galectin-3-binding protein (G3BP) was introduced as a candidate-marker of hepatitis C-related fibrosis based on serum proteomics. Aim of the Work to evaluate serum Galectin-3 as a marker of liver fibrosis and correlate it to the stage of fibrosis assessed by FibroScan, FIB-4 index and APRI score Patients and Methods This was prospective study, was carried out on 30 patients with liver fibrosis/cirrhosis due to chronic HCV inthe Hepatic Virology Unit and the gastroenterology department of Ain Shams university hospitals and 30 health controls with normal, non fibrotic and non cirrhotic, liver, from January 2022 to June 2022 Results There were high significant difference between both groups as regard Serum level of Galectin-3 and APRI score. Conclusion Serum level of galectin-3 was highly expressed in chronic HCV Egyptain patients and positively correlated to FIB-4 index, APRI score and fibroscan.so the serum level of galectin-3 beside other modalities, lab investigations and clinical examination may guide us about the progression to fibrosis and cirrhosis in those patients. In these patients, if galectin-3 levels were found to be high, serum alpha-feto protein level and ultrasonographic examination could be repeated at more frequent intervals. This may also guide us in terms of the treatment plan. Measurement of galectin-3 in sera of large number of patients and follow up may pave the way to pick up early fibrosis and showed its prognostic effect.

Investigating the correlation between polyunsaturated fatty acids intake and non-invasive biomarkers of liver fibrosis

BackgroundPolyunsaturated fatty acids (PUFAs) have potentially beneficial effects on the liver tissue. Noninvasive biomarkers, including imaging techniques and blood-based biomarkers, are important tools for assessing liver fibrosis. This study aims to investigate the relationship between dietary intake of PUFAs and noninvasive biomarkers for liver fibrosis in the general population. MethodsThe National Health and Nutrition Examination Survey 2017-2018 (NHANES 2017-2018) datasets were used. Fibrosis-4 index (FIB-4), FIB-8, and Fatty Liver Index (FLI) were calculated for each subject. The fibrosis groups were compared based on their intake of PUFA. The correlation between each score and PUFA intake was calculated. Correlation analysis was performed. ResultsA total of 5087 subjects (50.36% female) with a mean age of 49.37±12.14 were evaluated. The mean of median liver stiffness measurement (LSM) was 5.92±5.20 kilo Pascal (kPa). The mean PUFA intake was reported as 20.2±13.9 gm. Fibrosis (F) grouping revealed that 190 subjects had F3, and 154 F4. HDL had a significant correlation with Docosapentaenoic acid (DPA) intake (r = -0.038, p = 0.007). Moreover, AST and ALT had a significant correlation with Docosahexaenoic acid (DHA) intake (r = 0.033 and 0.059, p = 0.019 and <0.001, respectively). FIB-4 and FIB-8 had no correlation with PUFA intake. FLI had a significant correlation with DPA acid (r = 0.062, p <0.001). ConclusionA significant correlation between FLI, and PUFA intake suggests that increasing PUFA consumption could have a positive impact on liver health.

Exercise improves surrogate measures of liver histological response in metabolic dysfunction-associated steatotic liver disease.

Exercise is recommended for the management of metabolic dysfunction-associated steatotic liver disease (MASLD), yet effects on liver histology remain unknown, especially without significant weight loss. We aimed to examine changes in surrogate measures of liver histological response with exercise training. We conducted a post hoc pooled analysis of three randomised controlled trials (duration: 12-20 weeks) comparing aerobic exercise interventions with controls. The primary outcome measure was a ≥30% relative reduction in (MRI-measured) liver fat, as a surrogate measure of liver histological response (the threshold necessary for fibrosis improvement). Secondary outcome measures were changes in other biomarkers of liver fibrosis, anthropometry, body composition and aerobic fitness. Eighty-eight adults (exercise: 54, control: 34; male: 67%) were included with mean (SD) age 51 (11) years and body mass index 33.3 (5.2) kg/m2. Following the intervention, exercise had ~5-fold (OR [95%CI]: 4.86 [1.72, 13.8], p = .002) greater odds of ≥30% relative reduction in MRI-measured liver fat compared with control. This paralleled the improvements in anthropometry (waist and hip circumference reduction), body composition (body fat, visceral and subcutaneous adipose tissue) and aerobic fitness (V̇O2peak, ventilatory threshold and exercise capacity). Importantly, these effects were independent of clinically significant body weight loss (<3% body weight). Exercise training led to clinically meaningful improvements in surrogate serum- and imaging-based measures of liver histological change, without clinically meaningful body weight reduction. These data reinforce the weight-neutral benefit of exercise training and suggest that aerobic training may improve liver fibrosis in patients with MASLD.

Exploring Traditional and Novel Diagnostic Biomarkers for Liver Fibrosis: A Comprehensive Review

Exploring Traditional and Novel Diagnostic Biomarkers for Liver Fibrosis: A Comprehensive Review

WED-207 Non-invasive biomarkers of liver fibrosis may be used for diagnosing fibrosis and prognostication in patients with metabolic dysfunction-associated steatotic liver disease

WED-207 Non-invasive biomarkers of liver fibrosis may be used for diagnosing fibrosis and prognostication in patients with metabolic dysfunction-associated steatotic liver disease

Serum miR‑29 is increased in mice with early liver fibrosis.

Non-alcoholic steatohepatitis (NASH) is a fatty liver disease that is not caused by alcohol consumption and is characterized by fatty degeneration, inflammation and hepatocellular damage. Therefore, predicting future fibrosis is critical in the early stages of NASH to prevent disease progression. The present study examined histological changes in the liver as well as microRNA (miR/miRNA) expression changes in the liver and serum of NASH mice model to identify potential biomarker candidates that could predict early fibrosis. This study used 6-week-old C57BL/6NJcl male mice and fed the control with a standard solid diet (CE-2) for breeding and propagation and NASH groups with a high-fat diet [choline-deficient high-fat and 0.1% (w/v) methionine supplemented diet], respectively. Agilent Technologies miRNA microarray was used to investigate microRNA expression in the liver and serum. Hematoxylin and eosin staining of the livers of the NASH group mice during the second week of feeding revealed fatty degeneration, balloon-like degeneration and inflammatory cell infiltration, confirming that the mice were in a state of NASH. The livers of the NASH group mice at 6 weeks of feeding showed fibrosis. Microarray analysis revealed that miRNAs were upregulated and 47 miRNAs were downregulated in the liver of the NASH group. Pathway analysis using OmicsNet predicted miR-29 to target collagen genes. Furthermore, miR-29 was downregulated in the livers of NASH-induced mice but upregulated in serum. These findings suggested that lower miR-29 expression in NASH-induced liver would increase collagen expression and fibrosis. Early liver fibrosis suggests that miR-29 leaks from the liver into the bloodstream, and elevated serum miR-29 levels may be a predictive biomarker for early liver fibrosis.

Genetic-driven biomarkers for liver fibrosis through bioinformatic approach

BackgroundLiver fibrosis is a widespread chronic liver ailment linked to substantial mortality and limited therapeutic options. An in-depth comprehension of the genetic underpinnings of liver fibrogenesis is crucial for the development of effective management and treatment approaches.ResultsUsing bioinformatics tools and the DisGeNET database, we pinpointed 105 genes significantly linked to liver fibrosis. Subsequently, we conducted functional assessments, incorporating gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and the STRING database, to construct protein–protein interaction networks (PPI) for these 105 liver fibrosis-associated genes. These analyses were executed via the WebGestalt 2019 online platform. We employed Cytoscape plugins, MCODE, and CytoHubba, to identify potential biomarker genes from these functional networks. Noteworthy hub genes encompassed TGF-β1, MMP2, CTNNB1, FGF2, IL6, LOX, CTGF, SMAD3, ALB, and VEGFA. TGF-β1 and MMP-2 exhibited substantial promise as liver fibrosis biomarkers, as denoted by their high systemic scores determined through the MCC algorithm in the CytoHubba methodology.ConclusionsIn summary, this study presents a robust genetic biomarker strategy that may prove invaluable in the identification of potential liver fibrosis biomarkers.

Serum Elabela Level as a Reliable Biomarker for Predicting of Liver Fibrosis in Iraqi Patients with Chronic Hepatitis C

Abstract Background: Elabela is a newly discovered peptide hormone that has been implicated in liver disease. Objective: The main objective of the current work is to assess whether variations in blood Elabela levels among chronic hepatitis C (CHC) patients from Iraq might be used as a biomarker for liver fibrosis. Materials and Methods: A case-control study was conducted in Baghdad, Iraq. The overall sample size (n = 80) that met the inclusion criteria was divided into two groups as follows: 40 patients who were diagnosed with CHC and 40 healthy matched individuals. The aspartate aminotransferase-to-platelet ratio index (APRI) was used to identify the group of patients at risk for liver fibrosis. The routine complete blood count, liver function, and serum Elabela tests were performed. Serum Elabela level was evaluated by using the enzyme-linked immunosorbent assay technique. Results: Serum Elabela was significantly higher in the CHC group (33.89 ± 8.51 ng/mL) than in the control group (18.11 ± 5.27 ng/mL). In addition, the percentage of CHC patients at a high risk of developing fibrosis was 42.5%. Also, the high-risk fibrosis group showed a significantly higher concentration of Elabela and APRI than the other groups (low-risk and control) at P &lt; 0.0001. Alanine aminotransaminase and aspartate aminotransaminase showed a high increase while a low decrease in both Hb and platelet count against the healthy group (P &lt; 0.0001). Conclusion: High serum Elabela level in CHC patients compared to the control group was associated with liver fibrosis and could be used clinically as a reliable biomarker to determine the high-risk patient in need of invasive liver biopsy and hazardous therapeutics.

Value of autotaxin for hepatocellular carcinoma risk assessment in chronic hepatitisB patients treated with nucleos(t)ide analogs.

Autotaxin (ATX) is a newly identified liver fibrosis biomarker; however, its clinical usefulness remains unclear. Therefore, we analyzed the changes in patients with chronic hepatitisB virus infection treated with nucleos(t)ide analogs (NAs) to evaluate its usefulness. We also investigated the predictors of hepatocellular carcinoma development, including ATX, in patients with chronic hepatitisB based on their clinical characteristics. This retrospective study included 179 patients with hepatitisB virus infection treated with NAs for >2years. First, we measured the ATX levels before and up to 10years after initiating entecavir (therapy for 88 patients whose serial ATX levels could be measured before and during entecavir therapy. Subsequently, for 179 patients whose ATX levels could be measured at the commencement of NAs, we examined the factors involved in developing hepatocellular carcinoma, including ATX. The ATX levels showed a gradual and significant decrease during the observation period of up to 10years. Multivariable analysis showed that a baseline ATX/upper limits of normal ratio ≥1.214, age, and alkaline phosphatase levels were independent risk factors for hepatocellular carcinoma development. The combination of age and ATX/upper limits of normal ratio was used to stratify the high-risk groups for liver carcinogenesis. A decrease in ATX levels up to 10years after the commencement of therapy suggested that ATX is a helpful biomarker in evaluating fibrosis in patients undergoing long-term NA therapy. Furthermore, this study showed that combining age and the baseline ATX/upper limits of normal ratio may help identify high-risk carcinogenesis groups.

CCL20 and CD8A as potential diagnostic biomarkers for HBV-induced liver fibrosis in chronic hepatitis B

BackgroundThe main cause of the liver fibrosis (LF) remains hepatitis B virus (HBV) infection, especially in China. Histologically, liver fibrosis still occurs progressively in chronic hepatitis B (CHB) patients, even if HBV-DNA is negative or undetectable. The diagnosis of LF is beneficial to control the development of it, also it may promote the reversal of LF. Although liver biopsy is the gold standard of diagnosis in LF at present, it isa traumatic diagnosis. There are no diagnostic biomarkers as yet for the condition. It is badly in need of biomarkers clinically, which is simple to test, minimally invasive, highly specific, and sensitive. Early detection of HBV-LF development is crucial in the prevention, treatment, and prognosis prediction of HBV-LF. Cytokines are closely associated with both immune regulation and inflammation in the progression of hepatitis B virus associated-liver fibrosis (HBV-LF). In this bioinformatic study, we not only analyzed the relationship between HBV-LF and immune infiltration, but also identified key genes to uncover new therapeutic targets. ObjectivesTo find potential biomarkers for liver fibrosis in the development of chronic hepatic B patients. Materials and methodsWe obtained two sets of data including CHB/healthy control and CHB/HBV-LF from the Integrated Gene Expression (GEO) database to select for differential expression analysis. Protein-protein interaction (PPI) network was also generated, while key genes and important gene modules involved in the occurrence and development of HBV-LF were identified. These key genes were analyzed by functional enrichment analysis, module analysis, and survival analysis. Furthermore, the relationship between these two diseases and immune infiltration was explored. ResultsAmong the identified genes, 150 were individually associated with CHB and healthy control in the differential gene expression (DGE) analysis. While 14 with CHB and HBV-LF. It was also analyzed in the Robust rank aggregation (RRA) analysis, 34 differential genes were further identified by Cytohubba. Among 34 differential genes, two core genes were determined: CCL20 and CD8A. CCL20 was able to predict CHB positivity (area under the receiver operating characteristic curve [AUC-ROC] = 0.883, 95% confidence interval [CI] 0.786–0.963), while HBV-LF positivity ([AUC-ROC] = 0.687, 95% confidence interval [CI] 0.592–0.779). And CD8A was able to predict CHB positivity ([AUC-ROC] = 0.960, 95% confidence interval [CI] 0.915–0.992), while HBV-LF positivity ([AUC-ROC] = 0.773, 95% confidence interval [CI] 0.680–0.856). Relationship between CCL20 gene expression and LF grades was P < 0.05, as well as CD8A. ConclusionCCL20 and CD8A were found to be potential biomarkers and therapeutic targets for HBV-LF. It is instructive for research on the progression of LF in HBV patients, suppression of chronic inflammation, and development of molecularly targeted-therapy for HBV-LF.

Accuracy of blood-based biomarkers for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline.

Blood-based biomarkers have been proposed as an alternative to liver biopsy for noninvasive liver disease assessment in chronic liver disease. Our aims for this systematic review were to evaluate the diagnostic utility of selected blood-based tests either alone, or in combination, for identifying significant fibrosis (F2-4), advanced fibrosis (F3-4), and cirrhosis (F4), as compared to biopsy in chronic liver disease. We included a comprehensive search of databases including Ovid MEDLINE(R), EMBASE, Cochrane Database, and Scopus through to April 2022. Two independent reviewers selected 286 studies with 103,162 patients. The most frequently identified studies included the simple aspartate aminotransferase-to-platelet ratio index and fibrosis (FIB)-4 markers (with low-to-moderate risk of bias) in HBV and HCV, HIV-HCV/HBV coinfection, and NAFLD. Positive (LR+) and negative (LR-) likelihood ratios across direct and indirect biomarker tests for HCV and HBV for F2-4, F3-4, or F4 were 1.66-6.25 and 0.23-0.80, 1.89-5.24 and 0.12-0.64, and 1.32-7.15 and 0.15-0.86, respectively; LR+ and LR- for NAFLD F2-4, F3-4, and F4 were 2.65-3.37 and 0.37-0.39, 2.25-6.76 and 0.07-0.87, and 3.90 and 0.15, respectively. Overall, the proportional odds ratio indicated FIB-4 <1.45 was better than aspartate aminotransferase-to-platelet ratio index <0.5 for F2-4. FIB-4 >3.25 was also better than aspartate aminotransferase-to-platelet ratio index >1.5 for F3-4 and F4. There was limited data for combined tests. Blood-based biomarkers are associated with small-to-moderate change in pretest probability for diagnosing F2-4, F3-4, and F4 in viral hepatitis, HIV-HCV coinfection, and NAFLD, with limited comparative or combination studies for other chronic liver diseases.

The influence of resolution on the predictive power of spatial heterogeneity measures as biomarkers of liver fibrosis

Spatial heterogeneity of cells in liver biopsies can be used as biomarker for disease severity of patients. This heterogeneity can be quantified by non-parametric statistics of point pattern data, which make use of an aggregation of the point locations. The method and scale of aggregation are usually chosen ad hoc, despite values of the aforementioned statistics being heavily dependent on them. Moreover, in the context of measuring heterogeneity, increasing spatial resolution will not endlessly provide more accuracy. The question then becomes how changes in resolution influence heterogeneity indicators, and subsequently how they influence their predictive abilities. In this paper, cell level data of liver biopsy tissue taken from chronic Hepatitis B patients is used to analyze this issue. Firstly, Morisita–Horn indices, Shannon indices and Getis–Ord statistics were evaluated as heterogeneity indicators of different types of cells, using multiple resolutions. Secondly, the effect of resolution on the predictive performance of the indices in an ordinal regression model was investigated, as well as their importance in the model. A simulation study was subsequently performed to validate the aforementioned methods. In general, for specific heterogeneity indicators, a downward trend in predictive performance could be observed. While for local measures of heterogeneity a smaller grid-size is outperforming, global measures have a better performance with medium-sized grids. In addition, the use of both local and global measures of heterogeneity is recommended to improve the predictive performance.