Relevance of combined influence of nutritional and inflammatory status on non-alcoholic fatty liver disease and advanced fibrosis: A mediation analysis of lipid biomarkers.

BACKGROUND AND AIM: This study aimed to investigate the relationship between advanced lung cancer inflammation index (ALI) and non-alcoholic fatty liver disease (NAFLD) and advanced liver fibrosis (AF). METHODS: A total of 5642 individuals from the National Health and Nutrition Examination Survey (NHANES) between 2017 and 2020 were examined. Limited cubic spline regression model, and weighted logistic regression were employed to determine if ALI levels were related to the prevalence of NAFLD and AF. Additionally, a mediating analysis was conducted to investigate the role of lipid biomarkers, such as total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C), in the effects of ALI on the prevalence of NAFLD and AF. RESULTS: After adjusting for potential confounders, a significant positive association was found between ALI with NAFLD and AF prevalence. Compared with those in ALI Tertile 1, participants in Tertile 3 had higher odds of NAFLD prevalence (odds ratio [OR]: 3.16; 95% confidence interval [CI]: 2.52-3.97) and AF (OR: 3.17; 95% CI: 2.30-4.36). Participants in both Tertile 2 and Tertile 3 had lower odds of developing AF (P for trend = 0.005). Moreover, we discovered a nonlinear association between ALI and NAFLD. An inflection point of 74.25 for NAFLD was identified through a two-segment linear regression model. Moreover, TC and HDL-C levels mediated the association between ALI and NAFLD by 10.2% and 4.2%, respectively (both P < 0.001). CONCLUSION: Our findings suggest that higher ALI levels are positively associated with an increased prevalence of NAFLD and AF, partly mediated by lipid biomarkers.

An Alternative Non-Invasive Screening Model for Liver Fibrosis among US Adults at Risk of MASLD.

Background and Aims: Screening for liver fibrosis presents a clinical challenge. This study aimed to explore a useful alternative method for assessing fibrosis risk among US adults at risk of metabolic dysfunction-associated steatotic liver disease (MASLD). Methods: A liver stiffness score (LSS) model was proposed and tested using data from 3976 participants at possible risk of MASLD, obtained from the US National Health and Nutrition Examination Survey (NHANES). Results: The LSS model was developed using liver stiffness measurements, blood biochemistry, and body measurement data from 2414 NHANES participants at risk of MASLD, sampled between 2017 and 2020: LSS = exp(0.007035 × bodyweightkg - 0.1061 × raceblack1,0 + 0.183221 × diabetes1,0 + 0.008539 × ASTIU/L - 0.0018 × plateletcount1000cell/UL - 0.21011 × albuming/dL + 2.259087). The probability (P) of having fibrosis F3 + F4 is calculated as follows: P = 0.0091 × LSS2 - 0.0791 × LSS + 0.1933. The developed LSS model was tested on 1562 at-risk participants from the 2017-2018 cycle. The results showed that the LSS model achieved AUROC values of 0.79 and 0.78 for diagnosing cirrhosis (F4) and advanced fibrosis (F3 + F4) in the US population, respectively. It outperformed existing models such as NFS, FIB-4, SAFE, and FIB-3. For screening F3 + F4 fibrosis, the LSS model's top decile outperformed the NFS and FIB-4 models by 37.7% and 42.6%, respectively. Additionally, it showed superior performance compared to the waist circumference classification method by 29.5%. Conclusions: derived from an ethnically diverse population dataset, the LSS screening model, along with its probability equation, may offer clinicians a valuable alternative method for assessing the risk of liver fibrosis in the at-risk adult population.

Lasting differential gene expression of circulating CD8 T cells in chronic HCV infection with cirrhosis identifies a role for Hedgehog signaling in cellular hyperfunction.

Background: The impact of chronic hepatic infection on antigen non-specific immune cells in circulation remains poorly understood. We reported lasting global hyperfunction of peripheral CD8 T cells in HCV-infected individuals with cirrhosis. Whether gene expression patterns in bulk CD8 T cells are associated with the severity of liver fibrosis in HCV infection is not known. Methods: RNA sequencing of blood CD8 T cells from treatment naïve, HCV-infected individuals with minimal (Metavir F0-1 ≤ 7.0 kPa) or advanced fibrosis or cirrhosis (F4 ≥ 12.5 kPa), before and after direct-acting antiviral therapy, was performed. CD8 T cell function was assessed by flow cytometry. Results: In CD8 T cells from pre-DAA patients with advanced compared to minimal fibrosis, Gene Ontology analysis and Gene Set Enrichment Analysis identified differential gene expression related to cellular function and metabolism, including upregulated Hedgehog (Hh) signaling, IFN-α, -γ, TGF-ß response genes, apoptosis, apical surface pathways, phospholipase signaling, phosphatidyl-choline/inositol activity, and second-messenger-mediated signaling. In contrast, genes in pathways associated with nuclear processes, RNA transport, cytoskeletal dynamics, cMyc/E2F regulation, oxidative phosphorylation, and mTOR signaling, were reduced. Hh signaling pathway was the top featured gene set upregulated in cirrhotics, wherein hallmark genes GLI1 and PTCH1 ranked highly. Inhibition of Smo-dependent Hh signaling ablated the expression of IFN-γ and perforin in stimulated CD8 T cells from chronic HCV-infected patients with advanced compared to minimal fibrosis. CD8 T cell gene expression profiles post-DAA remained clustered with pre-DAA profiles and disparately between advanced and minimal fibrosis, suggesting a persistent perturbation of gene expression long after viral clearance. Conclusions: This analysis of bulk CD8 T cell gene expression in chronic HCV infection suggests considerable reprogramming of the CD8 T cell pool in the cirrhotic state. Increased Hh signaling in cirrhosis may contribute to generalized CD8 T cell hyperfunction observed in chronic HCV infection. Understanding the lasting nature of immune cell dysfunction may help mitigate remaining clinical challenges after HCV clearance and more generally, improve long term outcomes for individuals with severe liver disease.

Clinical features of individuals with laboratory values suggestive of advanced liver fibrosis when first treated for alcohol use disorder.

BACKGROUND: Effective screening for alcohol-associated liver disease is relevant in the context of chronic, excessive alcohol consumption. Patients with alcohol-associated liver disease are often not diagnosed until their liver disease is decompensated. We analyzed the prevalence and associations of Fibrosis-4 index (FIB-4) values suggestive of advanced liver fibrosis in patients referred for their first treatment of alcohol use disorder (AUD). METHODS: We conducted a cross-sectional, multicenter study of noncirrhotic individuals referred for their first AUD treatment between March 2013 and April 2021. We obtained sociodemographic data, substance use characteristics, and blood samples at admission. We considered a FIB-4 value ≥2.67 suggestive of advanced liver fibrosis and used logistic regression analyses to identify features associated with this value. RESULTS: We included 604 patients (67% male), with a median age at admission of 48 years [IQR: 41-56 years]. The median duration of regular alcohol consumption was 21 years [IQR: 18-30 years] and the median alcohol consumption was 105 standard drink units (SDU)/week [IQR: 63-160 SDU/week]. A FIB-4 value ≥ 2.67 was present in 19.3% of cases. These patients reported more frequent binge drinking (75.4% vs. 66%, p = 0.05) than those with FIB-4 values below 2.67. In multivariate analysis, a history of binge drinking (OR 1.9, 95% CI, 1.05-3.47), anemia (OR 2.95, 95% CI, 1.42-6.11), leukopenia (OR 7.46, 95% CI, 2.07-26.8), and total serum bilirubin >1 mg/dL (OR 6.46, 95% CI, 3.57-11.7) were independently associated with FIB-4 values ≥2.67. CONCLUSIONS: One in five patients admitted to treatment for AUD without evidence of decompensated liver disease have FIB-4 values suggestive of advanced liver fibrosis. The presence of a binge drinking history, anemia, leukopenia, and elevated bilirubin levels is associated with high FIB-4 values.

Vitamin D Deficiency Is Associated with Advanced Liver Fibrosis and Impaired Fasting Glucose in Alcohol Use Disorder.

BACKGROUND: Vitamin D deficiency is a risk factor for liver disease, insulin resistance, and beta cell dysfunction. Individuals with alcohol use disorder (AUD) have many comorbidities, with a heavy burden of liver disease and metabolic complications, including type 2 diabetes mellitus (T2DM). OBJECTIVE: We aimed to analyze the prevalence and associations of vitamin D deficiency in patients admitted for in-hospital treatment of AUD. METHODS: A cross-sectional study was conducted in patients consecutively admitted for the treatment of AUD between January 2017 and October 2023. Sociodemographic data, substance use characteristics, and blood parameters were available at admission. Vitamin D status was assessed through the serum concentrations of 25-hydroxyvitamin D [25(OH)D] levels using a direct competitive chemiluminescent immunoassay method. Deficiency of vitamin D was defined as a concentration less than 20 ng/mL; impaired fasting glucose (IFG) was defined by fasting blood glucose >100 mg/dL (5.6 mmol/L), and advanced liver fibrosis by an FIB-4 index >3.25. RESULTS: Two hundred and forty-three patients were included (75% male) with a mean age of 49 ± 10 years, mean BMI of 26.4 ± 7.3, mean alcohol consumption of 163 ± 81 g/day, and a mean duration of AUD of 18.1 ± 11.2 years. Mean 25(OH)D, fasting blood glucose, AST, ALT, and platelets were 14.4 ± 10.2 ng/mL, 103.4 ± 40.9 mg/dL, 55.1 ± 75.8 U/L, 44.8 ± 76.6 U/L, and 206.3 ± 84.8 × 109/L, respectively. The prevalence of vitamin D deficiency was 80.6%, and 41.1% of patients had levels less than 10 ng/mL. IFG was present in 32.3% of patients, and 20.5% had FIB-4 values >3.25. In the multivariable analysis, IFG (OR, 2.51; 95% CI: 1.02-6.17, p = 0.04) and advanced liver fibrosis (OR, 4.27; 95% CI: 1.21-15.0, p = 0.02) were the only factors associated with vitamin D deficiency. CONCLUSIONS: Vitamin D deficiency was very prevalent in this series of patients with AUD and was associated with impaired fasting glucose and advanced liver fibrosis.

Prognostic nutritional index (PNI) and risk of non-alcoholic fatty liver disease and advanced liver fibrosis in US adults: Evidence from NHANES 2017-2020.

Objective: This study explored the potential association between the Prognostic Nutritional Index (PNI) and the incidence of non-alcoholic fatty liver disease (NAFLD) and advanced liver fibrosis (AF) in the adult population of the United States. Methods: Information on 6409 participants ≥18 years old was downloaded from the U.S. National Health and Nutrition Examination Survey (NHANES) from 2017 to 2020. Multivariate analysis was combined with demographic factors to assess the relationships between PNI, NAFLD, and AF. A restricted cubic spline (RCS) was used to characterise the nonlinear association between the PNI and NAFLD and AF. Results: Patients without NAFLD had substantially lower mean values for parameters such as age, lymphocyte count, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), total cholesterol, triglycerides, HbA1c, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) than patients with NAFLD. Interestingly, non-NAFLD patients showed a pronounced increase in serum albumin levels compared to their NAFLD counterparts. In the subset without AF, there were discernibly lower measures of NLR, age, AST, ALT, γ-glutamyl transferase, triglycerides, neutrophil count, and body mass index (BMI) than in patients with AF. It was evident that those without AF had markedly elevated mean albumin and PNI levels in comparison to AF-affected individuals. In the comprehensive multivariable framework, a direct correlation was observed between PNI and NAFLD (adjusted odds ratio[aOR] = 1.07, 95% confidence interval [CI]: 1.05-1.09; p < 0.001), whereas PNI and AF were inversely correlated (aOR = 0.92; 95% CI: 0.88-0.96; p < 0.001). Within the RCS model, a swift ascendancy was noted in the relationship between the PNI and NAFLD, peaking at approximately 52. Conversely, a non-linear inverse association was observed between PNI and AF. Conclusion: Our analytical results indicate that elevated PNI levels are positively associated with an increased risk of NAFLD, but inversely related to the risk of AF. For robust validation of these observations, further research is required.

The Correlation Between Serum Copper and Non-alcoholic Fatty Liver Disease in American Adults: an Analysis Based on NHANES 2011 to 2016.

Copper functions as an essential micronutrient influencing diverse metabolic processes in mammals, encompassing oxidative stress responses, lipid metabolism, and participation in enzymatic reactions. However, the impact of serum copper on non-alcoholic fatty liver disease (NAFLD) remains controversial. Our aim was to explore the precise correlation between serum copper and NAFLD in a large-scale population-based study. A total of 1377 participants from the National Health and Nutrition Examination Survey (NHANES) 2011-2016 were included in our study. The diagnosis of NAFLD and its progress to advanced liver fibrosis were based on serological indexes. One-way ANOVA, Kruskal-Wallis H test, and Chi-square test were used to access variations between quartiles groups of serum copper. We conducted multivariate-adjusted logistic regression models and subgroup analyses to investigate the association between serum copper and NAFLD, along with several metabolic diseases. Among the 1377 participants, 661 were diagnosed with NAFLD, and 141 of whom were classified into advanced liver fibrosis. Higher serum copper levels (≥ 21.00 µmol/L) were associated with an increased incidence of NAFLD (odds ratio (OR) = 2.07 (1.38-3.10), p < 0.001), as well as advanced liver fibrosis (OR = 2.40 (1.17-5.19), p = 0.025). Moreover, serum copper exhibited a positive correlation with hypertension, overweight, and abdominal obesity, all of which have been identified as risk factors of NAFLD. Additionally, female participants, under the age of 60, and with a higher body mass index (BMI) (> 24.9 kg/m2) emerged as the most vulnerable subgroup concerning the relationship between serum copper and NAFLD. In the U.S. population, a notable association has been identified, linking elevated serum copper to an increased susceptibility for both the onset and progression of NAFLD, along with several metabolic disorders associated with NAFLD. The adverse effects of excess copper warrant attention in the context of public health considerations.

Air pollution associate with advanced hepatic fibrosis among patients with chronic liver disease.

We aimed to investigate the association between air pollution and advanced fibrosis among patients with metabolic associated fatty liver disease (MAFLD) and chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections. A total of 1376 participants who were seropositive for HBV surface antigen (HBsAg) or antibodies to HCV (anti-HCV) or had abnormal liver function in a community screening program from 2019 to 2021 were enrolled for the assessment of liver fibrosis using transient elastography. Daily estimates of air pollutants (particulate matter ≤2.5 µm in diameter [PM2.5 ], nitrogen dioxide [NO2 ], ozone [O3 ] and benzene) were aggregated into mean estimates for the previous year based on the date of enrolment. Of the 1376 participants, 767 (52.8%) and 187 (13.6) had MAFLD and advanced fibrosis, respectively. A logistic regression analysis revealed that the factors associated with advanced liver fibrosis were HCV viremia (odds ratio [OR], 3.13; 95% confidence interval [CI], 2.05-4.77; p < 0.001), smoking (OR, 1.79; 95% CI, 1.16-2.74; p = 0.01), age (OR, 1.04; 95% CI, 1.02-1.05; p < 0.001) and PM2.5 (OR, 1.10; 95% CI, 1.05-1.16; p < 0.001). Linear regression analysis revealed that LSM was independently correlated with PM2.5 (ß: 0.134; 95% CI: 0.025, 0.243; p = 0.02). There was a dose-dependent relationship between different fibrotic stages and the PM2.5 level (the PM2.5 level in patients with fibrotic stages 0, 1-2 and 3-4: 27.9, 28.4, and 29.3 µg/m3 , respectively; trend p < 0.001). Exposure to PM2.5 , as well as HBV and HCV infections, is associated with advanced liver fibrosis in patients with MAFLD. There was a dose-dependent correlation between PM2.5 levels and the severity of hepatic fibrosis.

Association of time in range with metabolic associated fatty liver disease and liver fibrosis in patients with type 2 diabetes / 中华内分泌代谢杂志

Objective:To investigate the association of time in range with metabolic associated fatty liver disease(MAFLD) and advanced liver fibrosis in patients with type 2 diabetes.Methods:This study was a retrospective study. A total of 494 type 2 diabetic patients were recruited in the Department of Endocrinololgy of Henan Provincial People′s Hospital from November 2019 to April 2022. Time in range(TIR) was calculated with continuous glucose monitoring data. Abdominal ultrasound scan was used to diagnose fatty liver. Liver stiffness measurement(LSM) by transient elastography was used to evaluate liver fibrosis. Pearson and multivariate linear regression analysis was used to evaluate the association between TIR and LSM. Multivariate logistic regression analysis was used to analyze the association of TIR with risk of MAFLD and advanced liver fibrosis.Results:Pearson correlation analysis showed that LSM was negatively correlated with TIR( r=-0.86, P<0.001) and was positively correlated with homeostasis model assessment for insulin resistance(HOMA-IR; r=0.48, P<0.001). After adjusting for confounding factors, multivariate linear regression analysis showed that TIR significantly negatively predicted LSM( β=-0.75, P<0.001), and HOMA-IR significantly positively predicted LSM( β=0.21, P=0.025). After adjusting for confounding factors, logistic regression analysis showed that compared with TIR Q4 patients, TIR Q1 patients had an increased risk of MAFLD( OR=1.96, 95% CI 1.07-3.62, P=0.027), advanced liver fibrosis( OR=3.82, 95% CI 1.17-12.50, P=0.027), and HOMA-IR was an independent risk factor for MAFLD( OR=1.22, 95% CI 1.04-1.43, P=0.005) and advanced liver fibrosis( OR=1.26, 95% CI 1.03-1.54, P=0.025). Conclusions:TIR and insulin resistance are independent risk factors for MAFLD and advanced liver fibrosis in patients with type 2 diabetes. TIR has a significant predictive value for MAFLD and advanced liver fibrosis.

Associations of advanced liver fibrosis with heart failure with preserved ejection fraction in type 2 diabetic patients according to obesity and metabolic goal achievement status.

Background: Heart failure with preserved ejection fraction (HFpEF), a major cause of morbidity and mortality in patients with type 2 diabetes mellitus (T2DM), is frequently coexisted with obesity, poor glycemic, blood pressure (BP), and/or lipid control. We aimed to investigate the associations of nonalcoholic fatty liver disease (NAFLD) and its advanced fibrosis with HFpEF according to obesity, glycated hemoglobin A1c (HbA1c), BP, and low-density lipoprotein cholesterol (LDL-C) goal achievement status in T2DM patients. Methods: A total of 2,418 T2DM patients who were hospitalized were cross-sectionally assessed. Liver fibrosis was evaluated by non-invasive biomarkers. Logistic regression analysis was used to evaluate the independent and combined associations of fibrosis status and diabetic care goal attainments with HFpEF risk. Results: Simple steatosis was not associated with HFpEF risk compared with patients without steatosis, while advanced liver fibrosis was found to have significantly higher odds for HFpEF risk (odds ratio,1.59; 95% confidence interval, 1.22-2.08). Advanced fibrosis in NAFLD was significantly associated with an increased risk of HFpEF, regardless of obesity status, HbA1c, BP, and LDL-C goal achievement status. P values for the interactions between fibrosis status and HbA1c control status, fibrosis status and BP control status, fibrosis status and LDL-C control status, and fibrosis status and body mass index (BMI) status on HFpEF risk were 0.021, 0.13, 0.001, and 0.23, respectively. Conclusion: In patients with T2DM, advanced hepatic fibrosis was significantly associated with HFpEF risk, irrespective of obesity status, HbA1c, BP, and LDL-C goal attainment status. Further, HbA1c and LDL-C goal attainment status modified this association.

Accuracy of a sequential algorithm based on FIB-4 and ELF to identify high-risk advanced liver fibrosis at the primary care level.

Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease, and liver fibrosis is the strongest predictor of morbimortality. We aimed to assess the performance of a sequential algorithm encompassing the Fibrosis 4 (FIB-4) and Enhanced Liver Fibrosis (ELF) scores for identifying patients at risk of advanced fibrosis. This cross-sectional study included one hospital-based cohort with biopsy-proven NAFLD (n = 140) and two primary care cohorts from different clinical settings: Type 2 Diabetes (T2D) follow-up (n = 141) and chronic liver disease (CLD) initial study (n = 138). Logistic regression analysis was performed to assess liver fibrosis diagnosis models based on FIB-4 and ELF biomarkers. The sequential algorithm retrieved the following accuracy parameters in predicting stages F3-4 in the biopsy-confirmed cohort: sensitivity (85%), specificity (73%), negative predictive value (79%) and positive predictive value (81%). In both T2D and CLD cohorts, a total of 28% of patients were classified as stages F3-4. Furthermore, of all F3-4 classified patients in the T2D cohort, 80% had a diagnosis of liver disease and 44% were referred to secondary care. Likewise, of all F3-4 classified patients in the CLD cohort, 71% had a diagnosis of liver disease and 44% were referred to secondary care. These results suggest the potential utility of this algorithm as a liver fibrosis stratifying tool in primary care, where updating referral protocols to detect high-risk F3-4 is needed. FIB-4 and ELF sequential measurement is an efficient strategy to prioritize patients with high risk of F3-4 in populations with metabolic risk factors.

Dietary and lifestyle oxidative balance scores are independently and jointly associated with nonalcoholic fatty liver disease: a 20 years nationally representative cross-sectional study.

Background: Oxidative stress is an important contributor to the progression of nonalcoholic fatty liver disease (NAFLD), but whether dietary and lifestyle pro- and antioxidants may have combined or independent effects on NAFLD, and advanced liver fibrosis (AHF) remains unclear. We aimed to elucidate the relationship between a well-established oxidative balance score (OBS) and NAFLD/AHF. Methods: This was a cross-sectional study. We included adult participants with complete data from the National Health and Nutrition Examination Survey 1999-2018. Survey-weighted adjusted multivariate regression analyses were used to examine the association of all OBS with NAFLD/AHF. A combination of restricted cubic splines, mediation analysis, stratified analysis, and sensitivity analysis were used to further elucidate these associations. Results: We included 6,341 eligible adult participants with prevalence of NAFLD and AHF of 30.2 and 13.9%, respectively. In the fully adjusted model, the highest quartile of OBS, dietary OBS, and lifestyle OBS were associated with 65, 55, and 77% reduced risk of NAFLD, respectively, compared with the reference population, respectively. However, all OBS were not associated with the risk of AHF. All OBS were nonlinearly associated with risk of NAFLD and had a more pronounced reduced risk for OBS, dietary OBS, and lifestyle OBS after exceeding 26, 21, and 5 points, respectively. OBS may exert a protective effect indirectly through inflammation, oxidative stress, and glycolipid metabolism markers. Stratification and sensitivity analyses demonstrate the robustness of our findings. Conclusion: All OBS were nonlinearly and negatively associated with NAFLD risk. These effects may exert indirectly through inflammation, oxidative stress, and glycolipid metabolism markers.

Noninvasive Methods for Detecting Advanced Liver Fibrosis and Cirrhosis in Patients with Chronic Hepatitis B: A Single-Center Retrospective Study.

Background and Aims: The performance of noninvasive assessments to rule-in or rule-out fibrosis may improve when combined. We aimed to evaluate the efficiencies of sequential algorithms based on the aspartate aminotransferase-to-platelet ratio index (APRI), the fibrosis index based on four factors (FIB-4), and transient elastography (TE) for the assessment of advanced fibrosis (AF) and cirrhosis. Methods: This study enrolled 179 CHB subjects who underwent liver biopsy (LB) before antiviral treatment. Results: AF and cirrhosis were identified in 71 (39.7%) and 28 (15.7%) patients, respectively. Compared with TE alone, sequential FIB-4-TE and APRI-TE algorithms saved a slightly higher number of liver biopsies for the identification of advanced fibrosis (69.3% or 68.2% vs 63.7%, P=0.263 or P=0.372, respectively). For the identification of cirrhosis, sequential FIB-4-TE and APRI-TE algorithms saved a significantly higher number of liver biopsies than TE alone (83.2% or 88.3% vs 69.8%, P=0.003 or P=0.000, respectively). No significant difference was found between the sequential algorithms and TE alone in the diagnostic accuracy for the detection of AF and cirrhosis. Conclusion: The sequential algorithms could significantly reduce the need for liver biopsy with high accuracy for diagnosis of AF and cirrhosis in CHB patients, which would be optimal especially in resource-limited areas.

Fatty liver is associated with significant liver inflammation and increases the burden of advanced fibrosis in chronic HBV infection.

BACKGROUND: Concurrent non-alcoholic fatty liver disease (NAFLD) is common in patients with chronic HBV infection. But the impact of fatty liver on the histologic progression of HBV infection remains controversial. METHODS: Consecutive HBV-infected patients who underwent liver biopsy between 2016 and 2021 were included. Alcohol consumption and other types of viral hepatitis were excluded. All biopsies were scored for grading and staging by Scheuer's score, and the steatosis was scored as an estimate of the percentage of liver parenchyma replaced by fat. Logistic regression analyses were applied to assess the associated factors for significant liver inflammation (G ≥ 2), significant fibrosis (S ≥ 2) and advanced fibrosis (S ≥ 3). RESULTS: Among the 871 HBV-infected patients, hepatic steatosis was prevalent in 255 patients (29.28%). Significant liver inflammation was present in 461 patients (52.93%). Significant fibrosis was observed in 527 patients (60.51%), while advanced liver fibrosis was observed in 171 patients (19.63%). Patients with concomitant NAFLD were more likely to have significant liver inflammation and advanced fibrosis. Fatty liver was an independent risk factor for significant liver inflammation (OR: 2.117, 95% CI: 1.500-2.988), but it could not predict the development of fibrosis. Especially, in HBV-infected patients with persistent normal ALT (immune tolerant and inactive carrier phase), the presence of significant liver inflammation was higher in NAFLD than those without NAFLD. The prevalence of advanced liver fibrosis was higher in NAFLD than non-NAFLD only in the immune tolerant phase, while NAFLD did not increase fibrosis burden in other stages of HBV infection. We developed a predictive model for significant liver inflammation with the area under receiver operating characteristic curve (AUROC) of 0.825, and a model for significant fibrosis with the AUROC of 0.760. CONCLUSIONS: NAFLD is independently associated with significant liver inflammation, and increases the burden of advanced liver fibrosis in HBV-infected patients. The influence of NAFLD on the degree of liver inflammation and fibrosis is different in distinct clinical phases of chronic HBV infection.

Associations between exposure to ambient particulate matter and advanced liver fibrosis in Chinese MAFLD patients.

BACKGROUND & AIMS: Liver fibrosis is an important feature in patients with metabolic dysfunction-associated fatty liver disease (MAFLD). This study aimed to explore the association between long-term ambient particulate matter (PM) exposure and advanced liver fibrosis (ALF) in MAFLD participants. METHODS: A cross-sectional study of 23170 adults recruited from 33 provinces of China from 2010 to 2020. ALF was detected using the nonalcoholic fatty liver disease fibrosis score (NFS). The annual average levels of particulate matter with aerodynamic diameters of ≤ 1 µm (PM1), ≤ 2.5 µm (PM2.5) and ≤ 10 µm (PM10) were calculated using validated spatiotemporal models. Generalized additive models were applied to analyze the association between PM and ALF in patients with MAFLD. RESULTS: One-year exposure to higher levels of all PM was found to increase the risk of ALF, with odds ratios (ORs) of 1.10 (95% CI 1.06-1.14), 1.05 (1.03-1.07), and 1.03(1.02-1.04) for each 10 µg/m3 increase in PM1, PM2.5 and PM10, respectively. With the dissection of the impact of PM1 in PM2.5, PM2.5 in PM10 and PM1 in PM10, we found that PM2.5 had a stronger impact on ALF (both Pinteraction＜0.05) in comparison with PM1 and PM10. CONCLUSIONS: Long-term exposure to PM is associated with ALF in patients with MAFLD, with PM2.5 playing a dominant role.

Combined use of the ELF test and CLivD score improves prediction of liver-related outcomes in the general population.

BACKGROUND AND AIMS: Effective and feasible population screening strategies are needed for the early detection of individuals at high risk of future severe liver-related outcomes. We evaluated the predictive performance of the combination of liver fibrosis assessment, phenotype profile, and genetic risk. METHODS: Data from 5795 adults attending the Finnish Health 2000 Survey were linked with healthcare registers for liver-related outcomes (hospitalization, hepatocellular cancer, and death). Fibrosis was assessed using the enhanced liver fibrosis (ELF) test, phenotype profile by the chronic liver disease (CLivD) risk score, and genetic risk by a validated Polygenic Risk Score (PRS-5). Predictive performance was assessed by competing-risk analyses. RESULTS: During a median 13-year follow-up, 64 liver-related outcome events were recorded. ELF, CLivD score, and PRS-5 were independently associated with liver-related outcomes. The absolute 10-year risk of liver-related outcomes at an ELF value of 11.3 ranged from 0.3% to 33% depending on the CLivD score. The CLivD score added 51% of new predictive information to the ELF test and improved areas under the curve (AUCs) from 0.91, 0.81, and 0.71 for ELF alone to 0.95, 0.85, and 0.80, respectively, for ELF combined with the CLivD score at 1, 5, and 10 years. The greatest improvement was for 10-year predictions (delta-AUC 0.097, p < .0001). Adding PRS-5 did not significantly increase predictive performance. Findings were consistent in individuals with obesity, diabetes, or alcohol risk use, and regardless of whether gamma-glutamyltransferase was used in the CLivD score. CONCLUSION: A combination of ELF and CLivD score predicts liver-related outcomes significantly better than the ELF test alone.

Is metabolic-dysfunction-associated fatty liver disease or advanced liver fibrosis associated with erythropoietin stimulating agent hypo-responsiveness among patients with end-stage kidney disease on haemodialysis?

AIM: This study aims to determine if metabolic-dysfunction-associated fatty liver disease (MAFLD) or advanced liver fibrosis is associated with erythropoietin stimulating agent (ESA) hypo-responsiveness in hemodialysis patients. METHODS: In a cross-sectional study of 379 hemodialysis patients, FibroTouch transient elastography was performed on all patients. Erythropoeitin resistance index (ERI) was used to measure the responsiveness to ESA. Patients in the highest tertile of ERI were considered as having ESA hypo-responsiveness. RESULTS: The percentage of patients with ESA hypo-responsiveness who had MAFLD was lower than patients without ESA hypo-responsiveness. FIB-4 index was significantly higher in ESA hypo-responsive patients. In multivariate analysis, female gender (aOR = 3.4, 95% CI = 1.9-6.2, p < 0.001), dialysis duration ≥50 months (aOR = 1.8, 95% CI = 1.1-2.9, p < 0.05), elevated waist circumference (aOR = 0.4, 95% CI = 0.2-0.8, p = 0.005), low platelet (aOR = 2.6, 95% CI 1.3-5.1, p < 0.01), elevated total cholesterol (aOR = 0.5, 95% CI 0.3-0.9, p < 0.05) and low serum iron (aOR = 3.8, 95% CI = 2.3-6.5, p < 0.001) were found to be independent factors associated with ESA hypo-responsiveness. Neither MAFLD nor advanced liver fibrosis was independently associated with ESA hypo-responsiveness. However, every 1 kPA increase in LSM increased the chance of ESA-hyporesponsiveness by 13% (aOR = 1.1, 95% CI = 1.0-1.2, p = 0.002) when UAP and LSM were used instead of presence of MAFLD and advanced liver fibrosis, respectively. CONCLUSION: MAFLD and advanced liver fibrosis were not independently associated with ESA hypo-responsiveness. Nevertheless, higher FIB-4 score in ESA hypo-responsive group and significant association between LSM and ESA hypo-responsiveness suggest that liver fibrosis may be a potential clinical marker of ESA hypo-responsiveness.

The Prevalence of Advanced Liver Fibrosis Among Patients With Type 2 Diabetes Mellitus: A Single-Centre Experience in Penang, Malaysia.

Objectives: Type 2 diabetes mellitus (T2DM) is an important risk factor for Non-alcoholic fatty liver disease (NAFLD). It worsens the course of NAFLD. We investigated the prevalence of advanced liver fibrosis among patients with T2DM. Our secondary objectives were to describe patient demographics, to explore associated clinical factors, and to compare FIB-4 Index and liver stiffness measurement (LSM). Methodology: This was a cross-sectional study on 258 patients with T2DM duration of at least 10 years. Transient elastography (FibroScan®) was performed on all subjects. Advanced liver fibrosis was diagnosed based on LSM results. The FIB-4 index formula was used. Results: The prevalence of advanced liver fibrosis was 22.1%. Associated factors were body mass index (BMI), alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT), triglyceride (TG) and high-density lipoprotein (HDL) cholesterol. Independent factors were BMI and GGT (p=0.003 and p<0.001). FIB-4 index has 30.0% sensitivity, 85.0% specificity, 38.7% positive predictive value, and 79.4% negative predictive value in detecting advanced liver fibrosis by LSM criteria. Conclusion: Our study confirmed the high prevalence of advanced liver fibrosis among patients with long-standing T2DM. This study suggests the benefit of advanced liver fibrosis screening in patients with a minimum of 10 years of T2DM, especially those with high BMI and GGT.

Multi-omics profiling of primary hepatic stellate cells from advanced liver fibrosis patients reveals distinctive molecular signatures.

BACKGROUND AND AIM: Hepatic fibrosis is a common pathogenic outcome of almost all chronic liver diseases and a growing public health problem globally. However, the key genes or proteins driving liver fibrosis and cirrhosis are not well understood. We aimed to identify novel hepatic fibrosis genes of human primary hepatic stellate cells (HSCs). METHODS: Human primary HSCs were isolated from surgically resected advanced fibrosis liver tissues (n = 6) and surgical resection of normal liver tissue around hemangioma (n = 5). Differences in the expression levels of mRNA and proteins from HSCs in advanced fibrosis group and the control group were analyzed using RNA sequencing and mass spectrometry as transcriptomic and proteomic approaches. The obtained biomarkers were further validated through real-time quantitative polymerase chain reaction (RT-qPCR), immunofluorescence, and Western blot. RESULTS: A total of 2156 transcripts and 711 proteins were found to be differently expressed between the advanced fibrosis group and the control group patients. The Venn diagram shows that a total of 96 upregulated molecules are overlapped in both the transcriptomic and proteomic datasets. Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes analysis indicated that those overlapped genes were mainly involved in wound healing, cell adhesion regulation, and actin binding, which reflects the major biological conversions in liver cirrhosis process. Pyruvate kinase M2 and EH domain-containing 2 were identified as potential new markers for advanced liver cirrhosis, which have been validated in primary human HSCs and in vitro cellular hepatic fibrosis model Lieming Xu-2 (LX-2) cells. CONCLUSIONS: Our results revealed the major transcriptomic and proteomic changes during liver cirrhosis process and identified new biomarkers and potential therapeutic targets for advanced liver fibrosis.