Prediction Model of HBsAg Seroclearance in Patients with Chronic HBV Infection

Cao, Jing; Gong, Jiao; Fong, Christ-Jonathan Tsia Hin; Xiao, Cuicui; Lin, Guoli; Li, Xiangyong; Jie, Yusheng; Chong, Yutian

doi:10.1155/2020/6820179

Cited by 6 publications

(3 citation statements)

References 14 publications

(18 reference statements)

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“…Several large sample-sized studies showed a negative correlation between HBsAg and the risk of NAFLD in the future[ 16 , 17 ]. In addition, higher BMI also helps the seroclearance of HBsAg[ 18 ]. Consistent with previous studies[ 19 ], our results showed that concomitant HBV infection led to a lower degree of steatosis.…”

Section: Discussionmentioning

confidence: 99%

Clinic-pathological features of metabolic associated fatty liver disease with hepatitis B virus infection

Wang¹,

Wan²,

Wu³

et al. 2021

WJG

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BACKGROUND Metabolic associated fatty liver disease (MAFLD) is a novel concept proposed in 2020. AIM To compare the characteristics of MAFLD and MAFLD with hepatitis B virus (HBV) infection. METHODS Patients with histopathologically proven MAFLD from a single medical center were included. Patients were divided into MAFLD group (without HBV infection) and HBV-MAFLD group (with HBV infection). Propensity score matching was utilized to balance the baseline characteristics between two groups. RESULTS A total of 417 cases with MAFLD were included, 359 (86.1%) of whom were infected with HBV. There were significantly more males in the HBV-MAFLD group than in the MAFLD group ( P < 0.05). After propensity score matching, 58 pairs were successfully matched with no significant differences found in gender, age, body mass index, lipid levels, liver enzymes, and the other metabolic associated comorbidities between the two groups ( P > 0.05). The rank sum test results showed that the degree of liver steatosis in the MAFLD group was more severe than that in the HBV-MAFLD group, while the degree of inflammation and fibrosis in the liver was less severe ( P < 0.05). In multivariate analysis, HBV infection was associated with significantly lower grade of hepatic steatosis [odds ratio (OR) = 0.088, 95% confidence interval (CI): 0.027-0.291] but higher inflammation level (OR = 4.059, 95%CI: 1.403-11.742) and fibrosis level (OR = 3.016, 95%CI: 1.087-8.370) after adjusting for age, gender, and other metabolic parameters. CONCLUSION HBV infection is associated with similar metabolic risks, lower steatosis grade, higher inflammation, and fibrosis grade in MAFLD patients.

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Section: Discussionmentioning

confidence: 99%

Clinic-pathological features of metabolic associated fatty liver disease with hepatitis B virus infection

Wang¹,

Wan²,

Wu³

et al. 2021

WJG

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“…The phenotypes include patients who underwent HBsAg seroclearance before the age of 60 and patients who demonstrated a high level (> 1000 IU/mL) of HBsAg after the age of 60 as case and control, respectively. HBsAg seroclearance is the absence of circulating HBsAg with or without the presence of antibodies in patients with CHB, hence considering it a functional cure for the infection 14,34 . For further details regarding the data, refer to this paper 14 .…”

Section: Data Description and Preprocessingmentioning

confidence: 99%

Genetic risk assessment based on association andprediction studies

Astrologo,

Gaudillo,

Albia

et al. 2023

Preprint

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The genetic basis of phenotypic emergence provides valuable information for assessing individual risk. While associationstudies have been pivotal in identifying genetic risk factors within a population, complementing it with insights derived frompredictions studies that assess individual-level risk offers a more comprehensive approach to understanding phenotypicexpression. In this study, we established personalized risk assessment models using single-nucleotide polymorphism (SNP)data from 200 Korean patients, of which 100 experienced hepatitis B surface antigen (HBsAg) seroclearance and 100 patientsdemonstrated high levels of HBsAg. The risk assessment models determined the predictive power of the following: (1)genome-wide association study (GWAS)-identified candidate biomarkers considered significant in a reference study and(2) machine learning (ML)-identified candidate biomarkers with the highest feature importance scores obtained by usingrandom forest (RF). While utilizing all features yielded 64% model accuracy, using relevant biomarkers achieved higher modelaccuracies: 82% for 52 GWAS-identified candidate biomarkers, 71% for three GWAS-identified biomarkers, and 80% for 150ML-identified candidate biomarkers. Findings highlight that the joint contributions of relevant biomarkers significantly influencephenotypic emergence. On the other hand, combining ML-identified candidate biomarkers into the pool of GWAS-identifiedcandidate biomarkers resulted in the improved predictive accuracy of 90%, demonstrating the capability of ML as an auxiliaryanalysis to GWAS. Furthermore, some of the ML-identified candidate biomarkers were found to be linked with hepatocellularcarcinoma (HCC), reinforcing previous claims that HCC can still occur despite the absence of HBsAg.

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“…Previous studies have identified several factors related to HBsAg loss e.g. gender, HBV DNA levels, Hepatitis B e antigen (HBeAg) status and ALT level at baseline (10)(11)(12). Apart from the direct action of immune cells, cytokines are also thought to mediate HBsAg loss (13).…”

Section: Introductionmentioning

confidence: 99%

Describing immune factors associated with Hepatitis B surface antigen loss: A nested case-control study of a Chinese sample from Wuwei City

Yuan

Xiao

et al. 2022

Front. Immunol.

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BackgroundHepatitis B surface antigen (HBsAg) loss is considered a functional cure for chronic hepatitis B (CHB), however, several factors influence HBsAg loss.Methods29 CHB patients who had achieved HBsAg loss, were selected and 58 CHB patients with persistent HBsAg were matched, according to gender and age (+/- 3 years). Logistic regression and restricted cubic spline (RCS) modelling were performed.ResultsMultivariate-adjusted logistic regression, based on stepwise selection, showed that baseline HBsAg levels negatively correlated with HBsAg loss (odds ratio [OR] = 0.99, 95% confidence interval [CI] = 0.98-0.99). Interferon treatment positively related with HBsAg loss (OR = 7.99, 95%CI = 1.62-44.88). After adjusting for age, HBsAg level, ALT level, HBeAg status and interferon treatment, MMP-1 (OR = 0.66, 95%CI = 0.44-0.97), CXCL9 (OR = 0.96, 95%CI = 0.93-0.99) and TNF-R1 (OR = 0.97, 95%CI = 0.94-0.99) baseline levels all negatively correlated with HBsAg loss. Our multivariate-adjusted RCS model showed that baseline CXCL10 was associated with HBsAg loss although the relationship was “U-shaped”.ConclusionsCytokines such as MMP-1, CXCL9, CXCL10 and TNF-R1 are important factors which influence HBsAg loss. It may be possible to develop a nomogram which intercalates these factors; however, further research should consider immune processes involved in HBsAg loss.

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Prediction Model of HBsAg Seroclearance in Patients with Chronic HBV Infection

Cited by 6 publications

References 14 publications

Clinic-pathological features of metabolic associated fatty liver disease with hepatitis B virus infection

Clinic-pathological features of metabolic associated fatty liver disease with hepatitis B virus infection

Genetic risk assessment based on association andprediction studies

Describing immune factors associated with Hepatitis B surface antigen loss: A nested case-control study of a Chinese sample from Wuwei City

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