Protocol of a prospective study for the combination treatment of Shu-Gan-jian-Pi decoction and steroid standard therapy in autoimmune hepatitis patients.

BACKGROUND: Prednisone plus azathioprine is considered the mainstay of therapy in the current recommendations for autoimmune hepatitis (AIH). However, it does not provide good benefits for AIH patients because of its serious side effects. Therefore, more and more AIH patients prefer to seek for traditional Chinese medicine (TCM) to manage their symptoms and reduce the side effects of steroids in China. Shu-Gan-Jian-Pi Decoction is a popular used Chinese herbal formula in Guangdong province of China, which has demonstrated the effect of improving efficacy and reducing side effects of corticosteroids in AIH patients. The aim of this study is to evaluate the effects of Shu-Gan-Jian-Pi Decoction combined with steroid in AIH patients. So, this study aims to explore whether the combination treatment of Shu-Gan-Jian-Pi Decoction and steroid standard therapy could improve the clinical management of AIH. METHODS: A prospective non-randomized study on AIH will be conducted between October 2015 and June 2017 in Guangdong Provincial hospital of Chinese medicine. Eligible AIH patients will be classified as the case group (n = 66) and the control group (n = 66) based on the interventions. Patients taking Shu-Gan-Jian-Pi Decoction combined with prednisone and azathioprine will be in the case group and those taking prednisone and azathioprine will be in the control group. The whole study will last 48 weeks, including a 24-week observation period and a 24-week follow-up period. The primary outcome was complete response to therapy, defined as complete biochemical remission at the patient's last visit of observation period and the absence of predefined steroid-specific side effects throughout treatment. DISCUSSION: This trial will evaluate the efficacy and safety of Shu-Gan-Jian-Pi Decoction combined with prednisone and azathioprine on AIH patients. The achievement of this trial will provide evidence-based data for Shu-Gan-Jian-Pi Decoction, which could provide good benefits for AIH patients. TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR-OOC-15006155 . Registration date: 28 March 2015.

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.

Association Between Metabolic Dysfunction-Associated Fatty Liver Disease and the Risk of Cirrhosis in Patients with Chronic Hepatitis B-A Retrospective Cohort Study.

Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a novel proposed concept that is being recognized worldwide. Both chronic hepatitis B (CHB) and MAFLD have been independently attributed to an increased risk of disease development to cirrhosis. However, it is still unclear whether MAFLD is associated with an increased risk of cirrhosis in CHB patients. Aim: This study aimed to analyze the impact of MAFLD on the risk of cirrhosis in CHB patients. Methods: In this retrospective cohort study, consecutive CHB patients with or without MAFLD were enrolled from January 1st, 2007, to May 1st, 2020, in Guangdong Provincial Hospital of Chinese Medicine. Inverse probability treatment weighting (IPTW) was performed to balance the covariates across groups. The weighted Kaplan-Meier analysis and Cox regression analysis were used to compare both groups for the risk of cirrhosis. Results: A total of 1223 CHB patients were included in this study during the median follow-up of 5.25 years; of these patients, 355 were CHB-MAFLD patients. After IPTW, the weighted Kaplan-Meier analysis showed that the weighted cumulative incidence of cirrhosis was significantly higher in patients with MAFLD than that in patients without MAFLD (12.6% versus 7.1%, P=0.015). In the weighted multivariate Cox analysis, coexisting MAFLD was related to an increased risk of cirrhosis [adjusted weighted hazard ratio (HR) 1.790; P =0.020]. Age (>40 years, adjusted weighted HR, 1.950; P=0.015), diabetes mellitus (adjusted weighted HR, 1.883; P=0.041), non-antiviral treatment (adjusted weighted HR, 2.037; P=0.013), and baseline serum HBV DNA levels (>2.4 log10 IU/mL, adjusted weighted HR, 1.756; P=0.045) were significant risk factors for cirrhosis. Conclusion: We found that MAFLD was associated with a higher risk of cirrhosis in CHB patients.

Impact of Metabolic Dysfunction Associated Fatty Liver Disease on the Prognosis of Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma Based on Propensity Score Matching Analysis.

Purpose: Both metabolic dysfunction-associated fatty liver disease (MAFLD) and hepatitis B virus (HBV) are risk factors for hepatocellular carcinoma (HCC). Although concurrent MAFLD is common in patients with HBV-related HCC, whether MAFLD increases the risk of poor prognosis in patients with HBV-related HCC remains unclear. This study aimed to investigate the impact of MAFLD on prognosis in patients with HBV-related HCC. Patients and Methods: In this retrospective cohort study, 549 patients with HBV-related HCC were enrolled from January 2010 to April 2020 in Guangdong Provincial Hospital of Chinese Medicine, including 169 patients with MAFLD (MAFLD group) and 380 patients without MAFLD (Non-MAFLD group). Propensity score matching (PSM) analysis was performed to balance the baseline characteristics. Kaplan-Meier survival curves were performed to compare the prognosis between the two matched groups. A multivariate Cox proportional hazards model was used to determine the risk factors for poor prognosis. Results: The median follow-up time for all patients was 20 (interquartile range 8-40) months. We found concurrent MAFLD was associated with a significantly decreased PFS rate before and after PSM analysis. The 1-year, 2-year, and 3-year PFS rates for the MAFLD and Non-MAFLD groups after PSM were 61.3% and 70.8%, 43.9% and 54.5%, 31.1% and 41.8%, respectively. Cox multivariable analysis showed that concurrent MAFLD was an independent risk factor for poor prognosis (death or progression) (HR = 1.49, P = 0.001). More interestingly, the risk of poor prognosis was significantly higher in the MAFLD subtype with metabolic components ≥2 compared to those with metabolic components <2 (HR = 1.97, P < 0.001). Conclusion: Concurrent MAFLD was associated with a higher risk of poor prognosis in patients with HBV-related HCC, especially MAFLD with metabolic components ≥2.

A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study.

Background: Currently, there are no effective methods for assessing hepatic inflammation without resorting to histological examination of liver tissue obtained by biopsy. T2-weighted images (T2WI) are routinely obtained from liver magnetic resonance imaging (MRI) scan sequences. We aimed to establish a radiomics signature based on T2WI (T2-RS) for assessment of hepatic inflammation in people with nonalcoholic fatty liver disease (NAFLD). Methods: A total of 203 individuals with biopsy-confirmed NAFLD from two independent Chinese cohorts with liver MRI examination were enrolled in this study. The hepatic inflammatory activity score (IAS) was calculated by the unweighted sum of the histologic scores for lobular inflammation and ballooning. One thousand and thirty-two radiomics features were extracted from the localized region of interest (ROI) in the right liver lobe of T2WI and, subsequently, selected by minimum redundancy maximum relevance and least absolute shrinkage and selection operator (LASSO) methods. The T2-RS was calculated by adding the selected features weighted by their coefficients. Results: Eighteen radiomics features from Laplacian of Gaussian, wavelet, and original images were selected for establishing T2-RS. The T2-RS value differed significantly between groups with increasing grades of hepatic inflammation (P<0.01). The T2-RS yielded an area under the receiver operating characteristic (ROC) curve (AUROC) of 0.80 [95% confidence interval (CI): 0.71-0.89] for predicting hepatic inflammation in the training cohort with excellent calibration. The AUROCs of T2-RS in the internal cohort and external validation cohorts were 0.77 (0.61-0.93) and 0.75 (0.63-0.84), respectively. Conclusions: The T2-RS derived from radiomics analysis of T2WI shows promising utility for predicting hepatic inflammation in individuals with NAFLD.

Efficacy and safety of AnluoHuaxian pills on chronic hepatitis B with normal or minimally elevated alanine transaminase and early liver fibrosis: A randomized controlled trial.

ETHNOPHARMACOLOGICAL RELEVANCE: The AnluoHuaxian pill (AHP) is a widely used patented medicine for chronic hepatitis B (CHB) patients with advanced fibrosis or cirrhosis that has been used in China for more than 15 years. However, data are lacking on whether monotherapy with AHP can be effective in CHB patients with alanine aminotransferase (ALT) levels less than 2 times the upper limit of normal (ALT<2ULN) and early liver fibrosis (F ≤ 2). AIM OF THE STUDY: We aimed to investigate whether monotherapy with AHP improves liver histology in these patients. MATERIALS AND METHODS: In this double-blind, randomized, placebo-controlled trial, 270 CHB patients with ALT<2ULN and F ≤ 2 were treated in 12 hospitals in China. The patients were randomly assigned to an intervention (AHP) group and a placebo group at a ratio of 2:1. Of these 270 enrolled patients, 147 had paired liver biopsies. The primary end point was histological change after 48 weeks of treatment. RESULTS: Per-protocol analysis revealed that the rate of histologic improvement in liver fibrosis patients in the AHP group was significantly higher than that in the placebo group (37.7% vs. 19.5%, P = 0.035) after 48 weeks of treatment, which was consistent with results from intention-to-treat and sensitivity analyses. Moreover, after adjusting for baseline characteristics, AHP was superior to placebo with respect to improving liver fibrosis (odds ratio [OR] = 2.58, 95% confidence interval [CI]: (1.01, 6.63),P = 0.049) and liver histology (OR = 3.62, 95% CI: (1.42, 9.20),P = 0.007). In noninvasive measurement of liver fibrosis (FibroScan®), the level of liver stiffness measurement (LSM) had decreased significantly at 48 weeks (5.1 kPa) compared with that at baseline (5.7 kPa) (P = 0.008) in the AHP group, whereas it did not decrease significantly in the placebo group. Cirrhosis developed in one patient in the placebo group but in no patients in the AHP group. No serious side effects occurred in the AHP-treated patients. CONCLUSIONS: Treatment of CHB patients who had ALT<2ULN and F ≤ 2 with the traditional Chinese medicine AHP for 48 weeks improves liver fibrosis. However, due to the short duration of treatment and the limited sample size of liver pathology, the long-term benefits of AHP in reducing fibrosis and the risk of cirrhosis and hepatocellular carcinoma in these patients need to be further studied in the future.

Differences in MicroRNA Expression in Chronic Hepatitis B Patients with Early Liver Fibrosis Based on Traditional Chinese Medicine Syndromes.

The aim of this study was to determine if microRNA (miRNA) expression is different among chronic hepatitis B (CHB) patients with early liver fibrosis classified according to traditional Chinese medicine (TCM) syndromes. Eighteen CHB-fibrosis patients and 12 CHB patients without fibrosis were enrolled. The CHB-fibrosis group included 9 patients with the TCM syndrome of Ganyu Pixu Xueyu (GYPXXY), characterized by liver stagnation, spleen deficiency, and blood stasis, and 9 patients with the TCM syndrome of Qixu Xueyu (QXXY), characterized by deficiency of qi, blood, and blood stasis. Agilent miRNA microarray was performed first in liver specimens to determine whether miRNA expression is different in patients with these two TCM syndromes of CHB-fibrosis. Gene Ontology (GO) analysis and KEGG analysis were applied to determine the roles of the differentially expressed miRNAs. QRT-PCR was performed to validate the Agilent miRNA microarray results. Compared with GYPXXY patients, 6 differentially expressed miRNAs were upregulated (miR-144-5p, miR-18a-5p, miR-148b-3p, miR-654-3p, miR-139-3p, and miR-24-1-5p) and 1 was downregulated (miR-6834-3p) in QXXY patients. According to qRT-PCR data, miR-144-5p and miR-654-3p were confirmed as upregulated in CHB-liver fibrosis patients compared to CHB patients without fibrosis, whereas the other 4 miRNAs were not significantly different. More importantly, miR-654-3p was confirmed to be significantly upregulated in QXXY patients compared with values in GYPXXY patients, whereas no significant difference was found in miR-144-5p. Moreover, the pathways of central carbon metabolism in cancer and cell cycle related to miR-654-3p and the target genes of PTEN and ATM were found to be different between QXXY patients and GYPXXY patients. These results indicate that there are different miRNAs, pathways, and target genes between QXXY patients and GYPXXY patients. However, due to the limited sample, whether miR-654-3p and the target genes PTEN and ATM could be molecular markers to differentiate TCM syndromes could not be established.

Serum N-glycan markers for diagnosing liver fibrosis induced by hepatitis B virus.

BACKGROUND: Hepatitis B virus (HBV) infection is the primary cause of hepatitis with chronic HBV infection, which may develop into liver fibrosis, cirrhosis and hepatocellular carcinoma. Detection of early-stage fibrosis related to HBV infection is of great clinical significance to block the progression of liver lesion. Direct liver biopsy is regarded as the gold standard to detect and assess fibrosis; however, this method is invasive and prone to clinical sampling error. In order to address these issues, we attempted to find more convenient and effective serum markers for detecting HBV-induced early-stage liver fibrosis. AIM: To investigate serum N-glycan profiling related to HBV-induced liver fibrosis and verify multiparameter diagnostic models related to serum N-glycan changes. METHODS: N-glycan profiles from the sera of 432 HBV-infected patients with liver fibrosis were analyzed. Significant changed N-glycan levels (peaks) (P < 0.05) in different fibrosis stages were selected in the modeling group, and multiparameter diagnostic models were established based on changed N-glycan levels by logistic regression analysis. The receiver operating characteristic (ROC) curve analysis was performed to evaluate diagnostic efficacy of N-glycans models. These models were then compared with the aspartate aminotransferase to platelet ratio index (APRI) , fibrosis index based on the four factors (FIB-4), glutamyltranspeptidase platelet albumin index (S index), GlycoCirrho-test, and GlycoFibro-test. Furthermore, we combined multiparameter diagnostic models with alanine aminotransferase (ALT) and platelet (PLT) tests and compared their diagnostic power. In addition, the diagnostic accuracy of N-glycan models was also verified in the validation group of patients. RESULTS: Multiparameter diagnostic models constructed based on N-glycan peak 1, 3, 4 and 8 could distinguish between different stages of liver fibrosis. The area under ROC curves (AUROCs) of Model A and Model B were 0.890 and 0.752, respectively differentiating fibrosis F0-F1 from F2-F4, and F0-F2 from F3-F4, and surpassing other serum panels. However, AUROC (0.747) in Model C used for the diagnosis of F4 from F0-F3 was lower than AUROC (0.795) in FIB-4. In combination with ALT and PLT, the multiparameter models showed better diagnostic power (AUROC = 0.912, 0.829, 0.885, respectively) when compared with other models. In the validation group, the AUROCs of the three combined models (0.929, 0.858, and 0.867, respectively) were still satisfactory. We also applied the combined models to distinguish adjacent fibrosis stages of 432 patients (F0-F1/F2/F3/F4), and the AUROCs were 0.917, 0.720 and 0.785. CONCLUSION: Multiparameter models based on serum N-glycans are effective supplementary markers to distinguish between adjacent fibrosis stages of patients caused by HBV, especially in combination with ALT and PLT.

[Evaluation of Chai Shao Liu Jun Tang for the treatment of chronic hepatitis B].

OBJECTIVE: To evaluate the effect of Chai Shao Liu Jun Tang in combination with Lamivudine for the treatment chronic hepatitis B (CHB) patients. METHODS: 405 CHB patients in Guangdong Provincial Hospital were randomly divided into 2 groups, 220 in the treated group, and 185 in the control group. The control group was treated with Lamivudine for 18 months. The treated group was treated with Lamivudine in combination with Chai Shao Liu Jun Tang for 18months. At the 3rd, 6th, 9th, 12th and 18th month during the treatment, the clinical symptoms, ALT normalization rate, HBeAg seroconversion rate, the proportion of patients with undetectable serum HBV DNA, and YMDD mutation rate were observed. RESULTS: ALT normalization rates at the 3rd, 6th, 12th, 18th month of the treatment group (69.5%, 85.9%, 90.5%, 82.7%) were higher than those in the control group (50.3%, 65.4%, 78.4%, 69.7%; P < 0.01). HBeAg seroconversion rate, rate of HBV DNA undetectable, and YMDD mutation rate at he 12th and18th month are 77.7%, 57.7%, 25.5%, 6.8%; 86.8%, 74.1%, 33.2%, 8.6% in the treatment group, and 54.6%, 36.8%, 13.0%, 14.6%; 69.2%, 37.3%, 19.5%, 20.5% in the control group (P < 0.01, or P < 0.05). CONCLUSION: Compared to lamivudine alone, Cai Shao Liu Ju Tang in combination with lamivudine is more effective and induces less YMDD mutation rate in CHB patients.

The Score Model Containing Chinese Medicine Syndrome Element of Blood Stasis Presented a Better Performance Compared to APRI and FIB-4 in Diagnosing Advanced Fibrosis in Patients with Chronic Hepatitis B.

This study aims to explore a useful noninvasive assessment containing TCM syndrome elements for liver fibrosis in CHB patients. The demographic, clinical, and pathological data were retrospectively collected from 709 CHB patients who had ALT less than 2 times the upper limit of normal from April 2009 to October 2012. Logistical regression and area under receiver-operator curve (AUROC) were used to determine the diagnostic performances of simple tests for advanced fibrosis (Scheuer stage, F ≥ 3). Results showed that the most common TCM syndrome element observed in this CHB population was dampness and Qi stagnation, followed by blood stasis, by heat, and less by Qi deficiency and Yin deficiency. The logistical regression analysis identified AST ≥ 35 IU/L, PLT ≤ 161 × 10(9)/L, and TCM syndrome element of blood stasis as the independent risk factors for advanced fibrosis. Therefore, a score model containing these three factors was established and tested. The score model containing blood stasis resulted in a higher AUC (AUC = 0.936) compared with APRI (AUC = 0.731) and FIB-4 (AUC = 0.709). The study suggested that the score model containing TCM syndrome element of blood stasis could be used as a useful diagnostic tool for advanced fibrosis in CHB patients and presented a better performance compared to APRI and FIB-4.