LEARN algorithm: a novel option for predicting non-alcoholic steatohepatitis.

Background: There is an unmet need for accurate non-invasive methods to diagnose non-alcoholic steatohepatitis (NASH). Since impedance-based measurements of body composition are simple, repeatable and have a strong association with non-alcoholic fatty liver disease (NAFLD) severity, we aimed to develop a novel and fully automatic machine learning algorithm, consisting of a deep neural network based on impedance-based measurements of body composition to identify NASH [the bioeLectrical impEdance Analysis foR Nash (LEARN) algorithm]. Methods: A total of 1,259 consecutive subjects with suspected NAFLD were screened from six medical centers across China, of which 766 patients with biopsy-proven NAFLD were included in final analysis. These patients were randomly subdivided into the training and validation groups, in a ratio of 4:1. The LEARN algorithm was developed in the training group to identify NASH, and subsequently, tested in the validation group. Results: The LEARN algorithm utilizing impedance-based measurements of body composition along with age, sex, pre-existing hypertension and diabetes, was able to predict the likelihood of having NASH. This algorithm showed good discriminatory ability for identifying NASH in both the training and validation groups [area under the receiver operating characteristics (AUROC): 0.81, 95% CI: 0.77-0.84 and AUROC: 0.80, 95% CI: 0.73-0.87, respectively]. This algorithm also performed better than serum cytokeratin-18 neoepitope M30 (CK-18 M30) level or other non-invasive NASH scores (including HAIR, ION, NICE) for identifying NASH (P value <0.001). Additionally, the LEARN algorithm performed well in identifying NASH in different patient subgroups, as well as in subjects with partial missing body composition data. Conclusions: The LEARN algorithm, utilizing simple easily obtained measures, provides a fully automated, simple, non-invasive method for identifying NASH.

Soy diet for nonalcoholic fatty liver disease: A meta-analysis of randomized controlled trials.

INTRODUCTION: The efficacy of soy diet for nonalcoholic fatty liver disease remains controversial. We conduct a systematic review and meta-analysis to explore the influence of soy diet vs placebo on the treatment of non-alcoholic fatty liver disease. METHODS: We search PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through October 2020 for randomized controlled trials assessing the efficacy of soy diet vs placebo for nonalcoholic fatty liver disease. This meta-analysis is performed using the random-effect model. RESULTS: Five randomized controlled trials are included in the meta-analysis. Overall, compared with control group for nonalcoholic fatty liver disease, soy diet is associated with significantly reduced HOMA-IR (standard mean difference [SMD] = -0.42; 95% confidence interval [CI] = -0.76 to -0.08; P = .01), increased insulin (SMD = -0.64; 95% CI = -0.98 to -0.30; P = .0002) and decreased malondialdehyde (SMD = -0.43; 95% CI = -0.74 to -0.13; P = .005), but demonstrated no substantial impact on body mass index (SMD = 0.17; 95% CI = -0.20 to 0.53; P = .37), alanine aminotransferase (SMD = -0.01; 95% CI = -0.61 to 0.60; P = .98), aspartate-aminotransferase (SMD = 0.01; 95% CI = -0.47 to 0.49; P = .97), total cholesterol (SMD = 0.05; 95% CI = -0.25 to 0.35; P = .73) or low density lipoprotein (SMD = 0; 95% CI = -0.30 to 0.30; P = .99). CONCLUSIONS: Soy diet may benefit to alleviate insulin resistance for nonalcoholic fatty liver disease.

Clinical risk factors and predictive tool of bacteremia in patients with cirrhosis.

OBJECTIVE: We aimed to analyze the risk factors and to establish a predictive tool for the occurrence of bloodstream infections (BSI) in patients with cirrhosis. METHODS: A total of 2888 patients with cirrhosis were retrospectively included. Multivariate analysis for risk factors of BSI were tested using logistic regression. Multivariate logistic regression was validated using five-fold cross-validation. RESULTS: Variables that were independently associated with incidence of BSI were white blood cell count (odds ratio [OR] = 1.094, 95% confidence interval [CI] 1.063-1.127)], C-reactive protein (OR = 1.005, 95% CI 1.002-1.008), total bilirubin (OR = 1.003, 95% CI 1.002-1.004), and previous antimicrobial exposure (OR = 4.556, 95% CI 3.369-6.160); albumin (OR = 0.904, 95% CI 0.883-0.926), platelet count (OR = 0.996, 95% CI 0.994-0.998), and serum creatinine (OR = 0.989, 95% CI 0.985-0.994) were associated with lower odds of BSI. The area under receiver operating characteristic (ROC) curve of the risk assessment scale was 0.850, and its sensitivity and specificity were 0.762 and 0.801, respectively. There was no significant difference between the ROC curves of cross-validation and risk assessment. CONCLUSIONS: We developed a predictive tool for BSI in patients with cirrhosis, which could help with early identification of such episodes at admission, to improve outcome in these patients.

Interface Hepatitis over Grade 2 May Differentiate Chronic Inflammation Associated with CHB from NAFLD in the Early Stage.

BACKGROUND: Patients with chronic hepatitis B (CHB) concomitant with nonalcoholic fatty liver disease (NAFLD) are increasing. OBJECTIVES: To identify pathological features that can be used to differentiate between chronic inflammation caused by CHB and that caused by NAFLD. METHODS: Patients with CHB (n = 31) needing antiviral treatment, NAFLD (n = 50), or CHB-NAFLD (n = 51) who underwent biopsy were retrospectively enrolled. Pathological characteristics of chronic inflammation were evaluated using the METAVIR scoring system. The rates of three pathological characteristics were first compared in patients with NAFLD and those with CHB, then compared after fibrosis matching, and were finally compared in CHB-NAFLD patients with different viral loads. RESULTS: The rates of interface hepatitis over grade 2 and fibrosis over grade 2 were significantly higher in the CHB group than in the NAFLD group (100% vs. 4% and 80.6% vs. 22%; both P < 0.0001), while no significant difference was observed in the rate of lobular inflammation over grade 2 between the two groups. After fibrosis matching, in patients with F0-2 fibrosis, the rate of interface hepatitis over grade 2 in CHB was significantly higher than that in NAFLD (100% vs. 0%; P < 0.0001). In CHB-NAFLD patients with F0-2 fibrosis, the rate of interface hepatitis over grade 2 in cases with a high viral load was significantly higher than cases with a low viral load (66.6% vs. 0%; P < 0.0001). The rate of lobular inflammation showed no difference between groups. CONCLUSION: Interface hepatitis over grade 2 can be used for the differential diagnosis of chronic inflammation associated with CHB or NAFLD in the early stage.

[The effect of endotoxemia on gluconeogenesis in livers and kidneys during acute hepatic failure].

OBJECTIVES: To explore the effects of endotoxemia on gluconeogenesis in livers and kidneys during acute hepatic failure. METHOD: Twenty-four healthy male SD rats were randomly divided into four groups (6 rats in each group) and all of them were injected intraperitoneally with solutions: group I with normal saline, group II with 400 mg/kg of D-galactosamine (D-GaLN), group III with 400 mg/kg of D-GaLN plus 50 microg/kg lipopolysaccharide(LPS), and group IV with 400 mg/kg of D-GaLN plus 500 microg/kg LPS. At 6 hours after the administration of different solutions intraperitoneally, blood samples were collected to examine blood urea nitrogen (BUN) and serum creatinine. Realtime PCR was used to study the expression of phosphoenolpyruvate carboxykinase (PEPCK) in the livers and kidneys. RESULTS: No endotoxemia developed in group I or group II but it was evident in group III and group IV. The level of endotoxemia in group IV was higher than in group III (8.05+/-0.43, 3.50+/-2.25, P<0.05). After 6 hours of administration of LPS in group IV, hypoglycemia appeared, and blood glucose was normal in the other three groups. BUN and serum creatinine were all normal in the four groups, except that blood urea nitrogen was elevated in group IV. The mRNA of PEPCK in livers decreased gradually in all the four groups (2.54+/-1.32 vs 1.87+/-0.15 vs 0.91+/-0.13 vs 0.44+/-0.42, P<0.05). In the kidneys there was no change in the expression of PEPCK in group I and group II (0.75+/-0.03 and 0.77+/-0.04, P>0.05), but it increased in group III (0.75+/-0.03 vs 1.63+/-0.86, P<0.05), and decreased in group IV (0.75+/-0.03 vs 0.13+/-0.07, P<0.05). CONCLUSION: During acute hepatic failure severe endotoxemia would damage the function of gluconeogenesis in livers and kidneys by inhibiting transcription of PEPCK and this can induce hypoglycemia.

Fibrinogen-like protein 2 fibroleukin expression and its correlation with disease progression in murine hepatitis virus type 3-induced fulminant hepatitis and in patients with severe viral hepatitis B.

AIM: To evaluate the expression of fibrinogen-like protein 2 (fgl2) and its correlation with disease progression in both mice and patients with severe viral hepatitis. METHODS: Balb/cJ or A/J mice were infected intraperitoneally (ip) with 100 PFU of murine hepatitis virus type 3 (MHV-3), liver and serum were harvested at 24, 48, and 72 h post infection for further use. Liver tissues were obtained from 23 patients with severe acute chronic (AOC) hepatitis B and 13 patients with mild chronic hepatitis B. Fourteen patients with mild chronic hepatitis B with cirrhosis and 4 liver donors served as normal controls. In addition, peripheral blood mononuclear cells (PBMC) were isolated from 30 patients (unpaired) with severe AOC hepatitis B and 10 healthy volunteers as controls. Procoagulant activity representing functional prothrombinase activity in PBMC and white blood cells was also assayed. A polyclonal antibody against fgl2 was used to detect the expression of both mouse and human fgl2 protein in liver samples as well as in PBMC by immunohistochemistry staining in a separate set of studies. Alanine aminotransferase (ALT) and total bilirubin (TBil) in serum were measured to assess the severity of liver injury. RESULTS: Histological changes were found in liver sections 12-24 h post MHV-3 infection in Balb/cJ mice. In association with changes in liver histology, marked elevations in serum ALT and TBil were observed. Mouse fgl2 (mfgl2) protein was detected in the endothelium of intrahepatic veins and hepatic sinusoids within the liver 24 h after MHV-3 infection. Liver tissues from the patients with severe AOC hepatitis B had classical pathological features of acute necroinflammation. Human fgl2 (hfgl2) was detected in 21 of 23 patients (91.30%) with severe AOC hepatitis B, while only 1 of 13 patients (7.69%) with mild chronic hepatitis B and cirrhosis had hfgl2 mRNA or protein expression. Twenty-eight of thirty patients (93.33%) with severe AOC hepatitis B and 1 of 10 with mild chronic hepatitis B had detectable hfgl2 expression in PBMC. No hfgl2 expression was found either in the liver tissue or in the PBMC from normal donors. There was a positive correlation between hfgl2 expression and the severity of the liver disease as indicated by the levels of TBil. PCA significantly increased in PBMC in patients with severe AOC hepatitis B. CONCLUSION: The molecular and cellular results reported here in both mice and patients with severe viral hepatitis suggest that virus-induced hfgl2 prothrombinase/fibroleukin expression and the coagulation activity associated with the encoded fgl2 protein play a pivotal role in initiating severe hepatitis. The measurement of hfgl2/fibroleukin expression in PBMC may serve as a useful marker to monitor the severity of AOC hepatitis B and a target for therapeutic intervention.