Publications by authors named "YuanWang Qiu"

The exclusion of cirrhosis is important in chronic hepatitis B (CHB) patients with normal alanine aminotransferase (ALT). We aimed to optimise the performance of the aspartate aminotransferase to platelet ratio index (APRI) and fibrosis score based on four factors (FIB-4) to exclude cirrhosis in these patients. Five hundred and eighty four patients with normal ALT who underwent liver biopsy were included in the study.

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Functional cure for chronic hepatitis B (CHB) remains challenging due to the lack of direct intervention methods for hepatic inflammation. Multi-omics research offers a promising approach to understand hepatic inflammation mechanisms in CHB. A Bayesian linear model linked gene expression with clinical parameters, and population-specific expression analysis (PSEA) refined bulk gene expression into specific cell types across different clinical phases.

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Article Synopsis
  • The study focuses on developing machine learning models to noninvasively assess advanced fibrosis and cirrhosis in patients with chronic hepatitis B (CHB) and hepatic steatosis (HS).
  • Researchers enrolled treatment-naive CHB patients who underwent liver biopsies and compared the performance of six ML models to traditional fibrosis assessment methods using statistical analysis.
  • The random forest models demonstrated high accuracy (AUROC scores around 0.778-0.828) in both training and validation cohorts, outperforming existing methods and showing promise as reliable diagnostic tools for this patient population.
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Tuberculosis (TB) remains a leading cause of mortality among individuals coinfected with HIV, characterized by progressive pulmonary inflammation. Despite TB's hallmark being focal granulomatous lung lesions, our understanding of the histopathological features and regulation of inflammation in HIV & TB coinfection remains incomplete. In this study, we aimed to elucidate these histopathological features through an immunohistochemistry analysis of HIV & TB co-infected and TB patients, revealing marked differences.

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Article Synopsis
  • * Conducted in China, the research used data from 1,787 treatment-naive patients to build the model, selecting key features for diagnosis and validating it through external cohorts.
  • * The gradient boosting classifier emerged as the most accurate model for predicting severe hepatic inflammation, showing promising results and resulting in a publicly available web tool for use in clinical settings.
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Background: The upper limits of normal (ULNs) for alanine aminotransferase (ALT) are different among international guidelines for chronic hepatitis B (CHB). We aimed to investigate the proportion of significant histological disease in Asian patients with CHB with detectable hepatitis B virus (HBV) DNA under diverse ALT ULNs.

Methods: Consecutive patients with CHB and detectable HBV DNA who underwent liver biopsy were retrospectively included from four tertiary hospitals.

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Background And Aims: Normal serum transaminases and immunoglobulin G (IgG) levels are surrogate markers for hepatic histologic disease activity in autoimmune hepatitis (AIH). This study aimed to evaluate liver inflammation in patients with AIH with normal serum alanine aminotransferase (ALT) and IgG levels.

Methods: Two hundred and five AIH patients who underwent liver biopsy in four medical centers were included.

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The presence of significant liver inflammation is an important indication for antiviral treatment in patients with chronic hepatitis B (CHB) in the indeterminate phase. We aimed to establish a non-invasive nomogram to predict significant liver inflammation in these patients. A total of 195 CHB patients in the indeterminate phase were randomly split into training and validation sets.

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Background: Patients with autoimmune hepatitis-primary biliary cholangitis (AIH-PBC) overlap syndrome have a worse prognosis compared to AIH or PBC alone and accurately predicting the severity and dynamically monitoring the progression of disease are therefore essential. We aimed to develop a nomogram-based model to predict advanced liver fibrosis in patients with AIH-PBC overlap syndrome.

Methods: A total of 121 patients with AIH-PBC overlap syndrome were retrospectively included and randomly assigned to a development set and a validation set.

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Objective: To observe the short-term effect of sequentially combined multimodal artificial liver treatment (SCMALT) on HBV-related acute-on-chronic liver failure (HBV-ACLF).

Methods: HBV-ACLF patients 155 cases undergoing artificial liver treatment were analyzed, and they were sorted into the SCMALT group and the conventional-modal artificial liver treatment (CALT) group. The clinical data of all patients were recorded and the serum levels of interleukin-8 (IL-8), chemokine interferon-inducible protein-10 (IP-10), and interleukin-6 (IL-6) were detected.

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Introduction And Objectives: Chronic hepatitis B (CHB) may progress to more serious liver diseases and it is often accompanied by non-alcoholic fatty liver disease (NAFLD). NAFLD and CHB share risk factors for liver fibrosis and cirrhosis, but the influence of NAFLD on fibrosis progression is controversial. This retrospective study evaluated the prevalence of NAFLD in patients with CHB and investigated associations between NAFLD and liver fibrosis in a large multi-center cohort of hepatitis B patients submitted to liver biopsy.

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Background: Noninvasive diagnosis of liver inflammation is important for patients with chronic hepatitis B (CHB). This study aimed to develop a nomogram to predict significant liver inflammation for CHB patients.

Methods: CHB patients who underwent liver biopsy were retrospectively collected and randomly divided into a development set and a validation set.

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Introduction And Objectives: Assessment of liver inflammation plays a vital role in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate a nomogram to predict severe liver inflammation in AIH patients.

Patients And Methods: AIH patients who underwent liver biopsy were included and randomly divided into a training set and a validation set.

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Objective: Patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) are characterized by severe liver function impairment, coagulation disorder, and multiple organ function impairment. The aim of this study was to explore the predictive value of antithrombin Ⅲ activity to the prognosis of HBV-ACLF patients.

Methods: A total of 186 HBV-ACLF patients were included in the analysis, and the baseline clinical data of patients were recorded to analyze the risk factors affecting the 30-day survival outcome of patients.

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Background: To systematically evaluate the survival rate and postoperative adverse reactions of patients with hepatocellular carcinoma treated with traditional Chinese medicine combined with TACE by meta-analysis.

Methods: Four major literature databases (Cochrane Library, Embase, PubMed, and Web of Science) were retrieved to collect published English articles since 2009. After determining the random effect model or fixed utility model based on a heterogeneity test, odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.

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Background: The evaluation of liver fibrosis is essential in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate an easy-to-use nomogram to identify AIH patients with advanced liver fibrosis.

Methods: AIH patients who underwent liver biopsies were included and randomly divided into a training set and a validation set.

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There are still lack of non-invasive models to evaluate liver fibrosis in chronic hepatitis B (CHB) patients with nonalcoholic fatty liver disease (NAFLD). We aimed to establish a predictive model for advanced fibrosis in these patients. A total of 504 treatment-naive CHB patients with NAFLD who underwent liver biopsy were enrolled and randomly divided into a training set (n = 336) and a validation set (n = 168).

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Background: Many patients with chronic hepatitis B (CHB) do not meet the definitions of the traditional natural phases and are classified as being in the grey zone (GZ).

Aims: To investigate liver histology, and to establish a management strategy for patients with CHB in the GZ.

Methods: This study included 1043 patients with CHB who underwent liver biopsy.

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The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses an imminent threat to humanity. SARS-CoV-2 invades host cells, causing a failure of host immune recognition. Instead of an effective antiviral immunological response after SARS-CoV-2 invasion, the cascading pathological syndrome of COVID-19, especially in severe disease, is exacerbated by an overt inflammatory response and the suppression of SARS-CoV-2-specific immune responses.

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Article Synopsis
  • The study investigates the molecular properties of enteroviruses responsible for hand, foot and mouth disease (HFMD) in Wuxi, highlighting challenges in diagnosis and prevention due to unknown viral strains circulating in the region.
  • Anal swabs from 249 clinically confirmed cases were collected in spring 2019, leading to the identification of seven genotypes, with Coxsackievirus A16 being the most prevalent.
  • Phylogenetic analyses revealed that a CVA16 subtype was the first reported strain in China, suggesting potential risks and underscoring the need for better surveillance and prevention strategies for HFMD in the area.
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Background: Data on safety and immunogenicity of coronavirus disease 2019 (COVID-19) vaccination in patients with compensated (C-cirrhosis) and decompensated cirrhosis (D-cirrhosis) are limited.

Methods: In this prospective multicenter study, adult participants with C-cirrhosis and D-cirrhosis were enrolled and received two doses of inactivated whole-virion COVID-19 vaccines. Adverse events were recorded within 14 days after any dose of vaccination, and serum samples of enrolled patients were collected and tested for SARS-CoV-2 neutralizing antibodies at least 14 days after the second dose.

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Numerous canonical cellular signaling pathways modulate hepatitis B virus (HBV) replication. HBV genome products are known to play a significant role in regulating these cellular pathways for the liver's viral-related pathology and physiology and have been identified as the main factor in hepatocarcinogenesis. Signaling changes during viral replication ultimately affect cellular persistence, multiplication, migration, genome instability, and genome damage, leading to proliferation, evasion of apoptosis, block of differentiation, and immortality.

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