Characteristics of treatment-naïve HBV-infected individuals with HIV-1 coinfection: A cross-sectional study from South India

Persistence and risk factors of occult hepatitis B virus infections among antiretroviral therapy-naïve people living with HIV in Botswana

Aim

This study aimed to determine the kinetics of occult hepatitis B virus infections (OBI) among people with HIV (PWH).

Methods

The study used archived plasma samples from longitudinal HIV natural history studies. We identified new OBI cases and assessed risk factors for OBI using Cox proportional hazards regression analysis.

Results

At baseline, 8 of 382 [(2.1%) (95% CI: 1.06-4.1)] samples tested positive for hepatitis B surface antigen (HBsAg+). Of the 374 HBsAg-negative samples, 76 had sufficient sample volume for HBV DNA screening. OBI positivity (OBI+) at baseline was reported in 11 of 76 [14.7 95% CI (8.3-24.1)] HBsAg-negative (HBsAg-) participants. Baseline HBsAg-negative samples with sufficient follow-up samples (n = 90) were used for analysis of newly identified OBI cases. Participants contributed 129.74 person-years to the study and were followed for a median of 1.02 years (IQR: 1.00-2.00). Cumulatively, there were 34 newly identified OBI cases from the 90 participants, at the rate of 26.2/100 person-years (95% CI: 18.7-36.7). Newly identified OBI cases were more common among men than women (61.1% vs. 31.9%) and among participants with CD4+ T-cell counts ≤450 cells/mL (p-value = 0.02). Most of the newly identified OBI cases [55.9% (19/34)] were possible reactivations as they were previously HBV core antibody positive.

Conclusion

There was a high rate of newly identified OBI among young PWH in Botswana, especially in men and in participants with lower CD4+ T-cell counts. OBI screening in PWH should be considered because of the risk of transmission, possible reactivation, and risk factors for the development of chronic liver disease, including hepatocellular carcinoma.

The Screening of Hepatitis B and Hepatitis C Virus Infection among HIV-Infected Inpatients and Evaluation of Correlated Characteristics in a General Hospital in Shenyang, Liaoning, China

Background: In this study, we surveyed the prevalence of hepatitis B virus (HBV) surface antigen (HBsAg) and hepatitis C virus (HCV) antibody (anti-HCV) among inpatients with human immunodeficiency virus (HIV) infection and analyzed the correlated factors. Methods: We conducted a retrospective data collection of the HIV-infected inpatients in our hospital from January 2010 to December 2020. We utilized multivariate logistic regression to identify the correlated factors. Results: The proportion of patients screened for HBsAg was 81.8%, which increased from 66.7% in 2010 to 85.7% in 2020. The proportion of patients with anti-HCV screening was 73.9%, which increased from 58.3% in 2010 to 86.7% in 2020. The prevalence of HBsAg positivity was 10.9%, which decreased from 15.0% in the period of 2010−2015 to 9.0% during 2016−2020. Positive anti-HCV was identified in 4.1% of cases. Compared to 4.8% in the period of 2010−2015, there was a similar prevalence of anti-HCV at 3.1% during 2016−2020. Among the HBsAg-positive cases, HBV deoxyribonucleic acid was screened in 70.8% of cases. Among the anti-HCV positive cases, HCV ribonucleic acid (RNA) was screened in 90% of cases. Albumin < 30 g/L, thrombocytopenia and aspartate aminotransferase (AST) > 40 U/L were associated with HBsAg positivity. AST > 40 U/L and higher CD4-positive T lymphocyte counts were associated with HIV/HCV coinfection. Conclusions: The routine screening for both HBV and HCV among HIV-positive inpatients has been greatly improved in the past decade. However, screening for the complete HBV serological markers in HIV-positive inpatients and HCV genotyping among HCV RNA-positive cases leaves much to be desired. A concerted effort should be made to improve HBV vaccine compliance in the HIV-positive population and provide direct-acting antiviral therapies to HCV RNA-positive patients.

The Correlated Risk Factors for Severe Liver Damage Among HIV-Positive Inpatients With Abnormal Liver Tests

Background:

This study investigated the factors correlated with severe liver damage among HIV-infected inpatients.

Methods:

We retrospectively collected the first hospitalized HIV-infected patients in the Department of Infectious Disease of the First Affiliated Hospital of China Medical University from January 1, 2010, to December 31, 2019. We used multivariate logistic regression to identify the factors associated with severe liver damage.

Results:

A total of 493 patients with abnormal liver tests were recruited. Among 63 cases (12.8%) with severe liver injury, drug-induced liver injury (DILI) identified by the updated Roussel Uclaf Causality Assessment Method (RUCAM) score as the direct cause was found in 43 cases. Anti-tuberculosis drug (ATD) exposure [adjusted odds ratio (aOR) = 1.835, 95% confidence interval (CI): 1.031–3.268], cotrimoxazole exposure (aOR = 2.775, 95% CI: 1.511–5.096), comorbidity of viral hepatitis (aOR = 2.340, 95% CI: 1.161–4.716), alcohol consumption history (aOR = 2.392, 95% CI: 1.199–4.769), and thrombocytopenia (aOR = 2.583, 95% CI:1.127–5.917) were associated with severe liver injury (all P < 0.05).

Conclusions:

DILI was the predominant cause of severe liver damage, followed by hepatitis virus co-infection. For patients with alcohol consumption and thrombocytopenia, frequent monitoring of liver function tests should be considered.

Microbiota-Meditated Immunity Abnormalities Facilitate Hepatitis B Virus Co-Infection in People Living With HIV: A Review

Hepatitis B virus (HBV) co-infection is fairly common in people living with HIV (PLWH) and affects millions of people worldwide. Identical transmission routes and HIV-induced immune suppression have been assumed to be the main factors contributing to this phenomenon. Moreover, convergent evidence has shown that people co-infected with HIV and HBV are more likely to have long-term serious medical problems, suffer more from liver-related diseases, and have higher mortality rates, compared to individuals infected exclusively by either HIV or HBV. However, the precise mechanisms underlying the comorbid infection of HIV and HBV have not been fully elucidated. In recent times, the human gastrointestinal microbiome is progressively being recognized as playing a pivotal role in modulating immune function, and is likely to also contribute significantly to critical processes involving systemic inflammation. Both antiretroviral therapy (ART)-naïve HIV-infected subjects and ART-treated individuals are now known to be characterized by having gut microbiomic dysbiosis, which is associated with a damaged intestinal barrier, impaired mucosal immunological functioning, increased microbial translocation, and long-term immune activation. Altered microbiota-related products in PLWH, such as lipopolysaccharide (LPS) and short-chain fatty acids (SCFA), have been associated with the development of leaky gut syndrome, favoring microbial translocation, which in turn has been associated with a chronically activated underlying host immune response and hence the facilitated pathogenesis of HBV infection. Herein, we critically review the interplay among gut microbiota, immunity, and HIV and HBV infection, thus laying down the groundwork with respect to the future development of effective strategies to efficiently restore normally diversified gut microbiota in PLWH with a dysregulated gut microbiome, and thus potentially reduce the prevalence of HBV infection in this population.

Simple and Feasible Detection of Hepatitis B Virus via Combination of Multienzyme Isothermal Rapid Amplification and Lateral Flow Dipstick Strip

Hepatitis B virus infection is not only a huge burden in the field of social health but also a major public health problem that affects the lives and health of the people. Simple, rapid, feasible detection of HBV is critical for its prevention and spread, especially in the developing countries with low-resource laboratories. To this end, we combined multienzyme isothermal rapid amplification (MIRA) and lateral flow dipstick (LFD) strip to detect HBV. A pair of primers targeting the conserved region of HBV genome was designed and used in MIRA-LFD assay. Our results found that the entire amplification of MIRA-LFD only takes 10 min at 37°C and the dilution of the amplification products was added in the LFD strip and observed by the naked eye after 10 min. The detection sensitivity of this method can reach 10 pg. The 45 clinical samples were detected by MIRA-LFD and real-time PCR. The accuracy rate of MIRA-LFD was 100%. Therefore, these characteristics of our newly developed MIRA-LFD assay make it particularly useful and suitable for detecting HBV in the resource-limited condition.

A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China

Objective

To establish a machine learning model for identifying patients coinfected with hepatitis B virus (HBV) and human immunodeficiency virus (HIV) through two sexual transmission routes in Jiangsu, China.

Methods

A total of 14197 HIV cases transmitted by homosexual and heterosexual routes were recruited. After data processing, 12469 cases (HIV and HBV, 1033; HIV, 11436) were left for further analysis, including 7849 cases with homosexual transmission and 4620 cases with heterosexual transmission. Univariate logistic regression was used to select variables with significant P value and odds ratio for multivariable analysis. In homosexual transmission and heterosexual transmission groups, 10 and 6 variables were selected, respectively. For identifying HIV individuals coinfected with HBV, a machine learning model was constructed with four algorithms, including Decision Tree, Random Forest, AdaBoost with decision tree (AdaBoost), and extreme gradient boosting decision tree (XGBoost). The detective value of each variable was calculated using the optimal machine learning algorithm.

Results

AdaBoost algorithm showed the highest efficiency in both transmission groups (homosexual transmission group: accuracy = 0.928, precision = 0.915, recall = 0.944, F − 1 = 0.930, and AUC = 0.96; heterosexual transmission group: accuracy = 0.892, precision = 0.881, recall = 0.905, F − 1 = 0.893, and AUC = 0.98). Calculated by AdaBoost algorithm, the detective value of PLA was the highest in homosexual transmission group, followed by CR, AST, HB, ALT, TBIL, leucocyte, age, marital status, and treatment condition; in the heterosexual transmission group, the detective value of PLA was the highest (consistent with the condition in the homosexual group), followed by ALT, AST, TBIL, leucocyte, and symptom severity.

Conclusions

The univariate logistics regression combined with the AdaBoost algorithm could accurately screen the risk factors of HBV in HIV coinfection without invasive testing. Further studies are needed to evaluate the utility and feasibility of this model in various settings.