Among chronic hepatitis B patients undergoing long-term treatment with nucleos（t）ide analogues （NAs）， approximately 10%—20% can achieve a low level of <100 IU/mL for hepatitis B surface antigen （HBsAg）. These patients have the advantage to achieve clinical cure （HBsAg clearance） and are currently a key focus for treatment discontinuation and combination treatment strategies. As for the selection of clinical management strategies， the NAs discontinuation strategy， based on the “immune reactivation” hypothesis， may lead to HBsAg clearance in some patients， especially among Caucasians， but the risk of recurrence after discontinuation cannot be neglected. The treatment strategies based on pegylated interferon-α exhibit a higher potential for active HBsAg clearance， and some novel immunomodulators have also shown preliminary efficacy. Overall， for patients with HBsAg <100 IU/mL previously treated with NAs， treatment discontinuation or active combination treatment should be carefully assessed based on individual risk-benefit profiles. In the future， it is essential to incorporate more refined biomarkers for precise stratification and explore novel combination regimens with finite treatment courses that are safe and highly effective， in order to help more patients achieve clinical cure and reduce long-term risks of liver disease.

Background::Total human immunodeficiency virus (HIV) DNA and integrated HIV DNA are widely used markers of HIV persistence. Droplet digital polymerase chain reaction (ddPCR) can be used for absolute quantification without needing a standard curve. Here, we developed duplex ddPCR assays to detect and quantify total HIV DNA and integrated HIV DNA.Methods::The limit of detection, dynamic ranges, sensitivity, and reproducibility were evaluated by plasmid constructs containing both the HIV long terminal repeat (LTR) and human CD3 gene (for total HIV DNA) and ACH-2 cells (for integrated HIV DNA). Forty-two cases on stable suppressive antiretroviral therapy (ART) were assayed in total HIV DNA and integrated HIV DNA. Correlation coefficient analysis was performed on the data related to DNA copies and cluster of differentiation 4 positive (CD4 +) T-cell counts, CD8 + T-cell counts and CD4/CD8 T-cell ratio, respectively. The assay linear dynamic range and lower limit of detection (LLOD) were also assessed. Results::The assay could detect the presence of HIV-1 copies 100% at concentrations of 6.3 copies/reaction, and the estimated LLOD of the ddPCR assay was 4.4 HIV DNA copies/reaction (95% confidence intervals [CI]: 3.6-6.5 copies/reaction) with linearity over a 5-log 10-unit range in total HIV DNA assay. For the integrated HIV DNA assay, the LLOD was 8.0 copies/reaction (95% CI: 5.8-16.6 copies/reaction) with linearity over a 3-log 10-unit range. Total HIV DNA in CD4 + T cells was positively associated with integrated HIV DNA ( r = 0.76, P <0.0001). Meanwhile, both total HIV DNA and integrated HIV DNA in CD4 + T cells were inversely correlated with the ratio of CD4/CD8 but positively correlated with the CD8 + T-cell counts. Conclusions::This ddPCR assay can quantify total HIV DNA and integrated HIV DNA efficiently with robustness and sensitivity. It can be readily adapted for measuring HIV DNA with non-B clades, and it could be beneficial for testing in clinical trials.

Objective: To compare the impact of different prognostic scores in patients with acute-on-chronic liver failure (ACLF) in order to provide treatment guidance for liver transplantation. Methods: The information on inpatients with ACLF admitted at Beijing You'an Hospital Affiliated to Capital Medical University and the First Affiliated Hospital of Zhejiang University School of Medicine from January 2015 to October 2022 was collected retrospectively. ACLF patients were divided into liver transplantation and non-liver transplantation groups, and the two groups prognostic conditions were followed-up. Propensity score matching was carried out between the two groups on the basis of liver disease (non-cirrhosis, compensated cirrhosis, and decompensated cirrhosis), the model for end-stage liver disease incorporating serum sodium (MELD-Na), and ACLF classification as matching factors. The prognostic condition of the two groups after matching was compared. The difference in 1-year survival rate between the two groups was analyzed under different ACLF grades and MELD-Na scores. The independent sample t-test or rank sum test was used for inter-group comparison, and the χ (2) test was used for the comparison of count data between groups. Results: In total, 865 ACLF inpatients were collected over the study period. Of these, 291 had liver transplantation and 574 did not. The overall survival rates at 28, 90, and 360 days were 78%, 66%, and 62%, respectively. There were 270 cases of matched ACLF post-liver transplantation and 270 cases without ACLF, in accordance with a ratio of 1:1. At 28, 90, and 360 days, patients with non-liver transplantation had significantly lower survival rates (68%, 53%, and 49%) than patients with liver transplantation (87%, 87%, and 78%, respectively; P < 0.001). Patients were classified into four groups according to the ACLF classification criteria. Kaplan-Meier survival analysis showed that the survival rates of liver transplantation and non-liver transplantation patients in ACLF grade 0 were 77.2% and 69.4%, respectively, with no statistically significant difference (P = 0.168). The survival rate with an ACLF 1-3 grade was significantly higher in liver transplantation patients than that of non-liver transplantation patients (P < 0.05). Patients with ACLF grades 1, 2, and 3 had higher 1-year survival rates compared to non-liver transplant patients by 50.6%, 43.6%, and 61.7%, respectively. Patients were divided into four groups according to the MELD-Na score. Among the patients with a MELD-Na score of < 25, the 1-year survival rates for liver transplantation and non-liver transplantation were 78.2% and 74.0%, respectively, and the difference was not statistically significant (P = 0.149). However, among patients with MELD-Na scores of 25-30, 30-35, and≥35, the survival rate was significantly higher in liver transplantation than that of non-liver transplantation, and the 1-year survival rate increased by 36.4%, 54.9%, and 62.5%, respectively (P < 0.001). Further analysis of the prognosis of patients with different ACLF grades and MELD-Na scores showed that ACLF grades 0 or 1 and MELD-Na score of < 30 had no statistically significant difference in the 1-year survival rate between liver transplantation and non-liver transplantation (P > 0.05), but in patients with MELD-Na score≥30, the 1-year survival rate of liver transplantation was higher than that of non-liver transplantation patients (P < 0.05). In the ACLF grade 0 and MELD-Na score of≥30 group, the 1-year survival rates of liver transplantation and non-liver transplantation patients were 77.8% and 25.0% respectively (P < 0.05); while in the ACLF grade 1 and MELD-Na score of≥30 group, the 1-year survival rates of liver transplantation and non-liver transplantation patients were 100% and 20.0%, respectively (P < 0.01). Among patients with ACLF grade 2, the 1-year survival rate with MELD-Na score of < 25 in patients with liver transplantation was 73.9% and 61.6%, respectively, and the difference was not statistically significant (P > 0.05); while in the liver transplantation patients group with MELD-Na score of ≥25, the 1-year survival rate was 79.5%, 80.8%, and 75%, respectively, which was significantly higher than that of non-liver transplantation patients (36.6%, 27.6%, 15.0%) (P < 0.001). Among patients with ACLF grade 3, regardless of the MELD-Na score, the 1-year survival rate was significantly higher in liver transplantation patients than that of non-liver transplantation patients (P < 0.01). Additionally, among patients with non-liver transplantation with an ACLF grade 0~1 and a MELD-Na score of < 30 at admission, 99.4% survived 1 year and still had an ACLF grade 0-1 at discharge, while 70% of deaths progressed to ACLF grade 2-3. Conclusion: Both the MELD-Na score and the EASL-CLIF C ACLF classification are capable of guiding liver transplantation; however, no single model possesses a consistent and precise prediction ability. Therefore, the combined application of the two models is necessary for comprehensive and dynamic evaluation, but the clinical application is relatively complex. A simplified prognostic model and a risk assessment model will be required in the future to improve patient prognosis as well as the effectiveness and efficiency of liver transplantation.
Humans ; Acute-On-Chronic Liver Failure ; Prognosis ; Retrospective Studies ; End Stage Liver Disease ; Severity of Illness Index

Objective To investigate the prevalence of hepatitis D virus (HDV) infection among patients with chronic hepatitis B virus (HBV) infection in some regions of China. Methods Serum samples were collected from 3 131 patients with chronic HBV infection in 10 provinces, cities, and autonomous regions of China from March 2021 to June 2022, and anti-HDV IgG ELISA was used for the detection of all serum samples. Nested reverse transcription-polymerase chain reaction (nRT-PCR) was used to detect HDV RNA in anti-HDV IgG-positive samples, and the nRT-PCR amplification products of HDV RNA-positive samples were sequenced and analyzed to determine HDV genotype. The clinical features of anti-HDV IgG-positive patients were analyzed. The Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups. Results The positive rate of anti-HDV IgG in the 3 131 patients with chronic HBV infection was 0.70% (22/3 131), and that in the patients with chronic HBV infection in Inner Mongolia Autonomous Region, Xinjiang Uygur Autonomous Region, Beijing, and Hunan Province was 1.81% (16/886), 0.88% (2/226), 0.28% (2/708), and 1.00% (2/200), respectively; the patients with chronic HBV infection in Inner Mongolia Autonomous Region had a significantly higher positive rate of anti-HDV IgG than those in Beijing ( P =0.004), and there was no significant difference between the other regions ( P > 0.05). Clinical features of the patients with chronic HBV infection in Inner Mongolia Autonomous Region showed that compared with the anti-HDV IgG-negative group, the anti-HDV IgG-positive group had a significantly higher proportion of patients with Mongol nationality ( P =0.001), abnormal alanine aminotransferase ( P =0.007), or antiviral treatment ( P =0.029), as well as a significantly lower median HBV DNA level ( P =0.030). A total of 19 HDV RNA-positive samples were identified, all of which had HDV genotype 1. Conclusion The prevalence rate of HDV varies greatly across different regions of China, with a higher prevalence rate of HDV in patients with chronic HBV infection from Inner Mongolia Autonomous Region. HDV genotype 1 is the predominant genotype in some provinces and cities of northern China.

Haemochromatosis is characterised by elevated transferrin saturation (TSAT) and progressive iron loading that mainly affects the liver. Early diagnosis and treatment by phlebotomy can prevent cirrhosis, hepatocellular carcinoma, diabetes, arthropathy and other complications. In patients homozygous for p.Cys282Tyr in HFE, provisional iron overload based on serum iron parameters (TSAT >45% and ferritin >200 μg/L in females and TSAT >50% and ferritin >300 μg/L in males and postmenopausal women) is sufficient to diagnose haemochromatosis. In patients with high TSAT and elevated ferritin but other HFE genotypes, diagnosis requires the presence of hepatic iron overload on MRI or liver biopsy. The stage of liver fibrosis and other end-organ damage should be carefully assessed at diagnosis because they determine disease management. Patients with advanced fibrosis should be included in a screening programme for hepatocellular carcinoma. Treatment targets for phlebotomy are ferritin <50 μg/L during the induction phase and <100 μg/L during the maintenance phase.
Male ; Humans ; Female ; Hemochromatosis/therapy* ; Hemochromatosis Protein/genetics* ; Carcinoma, Hepatocellular/complications* ; Iron Overload/genetics* ; Ferritins ; Liver Cirrhosis/complications* ; Iron ; Fibrosis ; Liver Neoplasms/complications* ; Transferrins

Objective To further verify the ability of noninvasive diagnostic method for liver fibrosis in predicting liver fibrosis in chronic hepatitis C patients followed up after sustained virologic response (SVR) based on liver biopsy. Methods A prospective cohort study was performed for the chronic hepatitis C patients who attended Beijing YouAn Hospital, Capital Medical University, from October 2015 to December 2017, and all patients were followed up regularly after SVR and underwent liver biopsy. The diagnostic efficiency of the noninvasive diagnostic method for liver fibrosis was verified based on pathological results. The receiver operating characteristic (ROC) curve was used to evaluate the ability of LSM, aspartate aminotransferase-to-platelet ratio index (APRI), and fibrosis-4 (FIB-4) in the diagnosis of liver fibrosis, and STATA and R language were used to compare the area under the ROC curve (AUC). Results A total of 96 patients were successfully enrolled. The LSM after SVR was significantly lower than that at baseline, and LSM had a significantly larger AUC than APRI (0.89 vs 0.67, P < 0.05) and FIB (0.89 vs 0.69, P < 0.05) in the diagnosis of liver cirrhosis after SVR. LSM at a cut-off value of 7.95 kPa, and based on the best specificity, the diagnosis of liver cirrhosis could be considered when LSM was greater than 9.15 kPa, with a positive likelihood ratio of 5.91%; progressive liver fibrosis could be excluded based on LSM < 6.85 kPa, with a negative predictive value of 0.98. Follow-up time and antiviral regimen had no influence on the diagnostic ability of LSM. Conclusion The cut off value of LSM needs to be lowered to predict liver fibrosis after SVR in chronic hepatitis C patients.

Carcinoma, Hepatocellular/pathology* ; Cell Line, Tumor ; Hepatic Stellate Cells/pathology* ; Humans ; Liver Cirrhosis/pathology* ; Liver Neoplasms/pathology* ; Signal Transduction