Systems biology approaches to investigate the role of granulomas in TB-HIV coinfection

Tuberculosis-related deaths at a tertiary hospital in Zambia: Insights into the prevalence and associated factors

Tuberculosis (TB) mortality remains a significant public health concern globally. This study aimed to determine the prevalence of tuberculosis-related deaths and associated factors among patients at Livingstone University Teaching Hospital (LUTH) Chest Clinic, Zambia. We conducted a retrospective cross-sectional study among 694 individuals (507 adult and 187 children) diagnosed with drug susceptible TB disease between January 1, 2021, and December 31, 2022. Demographic and clinical information were collected from medical records using a data collection form. Multivariable logistic regression was used to determine factors associated with TB-related death. Statistical significance was set at p < 0.05. STATA version 15 was used for all data analysis. The prevalence of TB-related death among adults (above 19 years old) was 18.4% (n = 93) whereas that in children (below 19 years old) was 7.0% (n = 187). Living with HIV (AOR 1.75, 95% CI 1.00-3.08, p = 0.049) was positively associated with TB-related death among the adult patients while being on a family based direct observation therapy (DOT) plan was negatively associated with TB-related death both among adults and among children, (AOR 0.24, 95% CI 0.13-0.45, p <0.001) and (AOR 0.2, 95% CI 0.03-0.99, p = 0.039) respectively. This study found a high TB-related mortality rate, both among adults and children, exceeding the national target of 5% and it was significantly associated with HIV status and DOT plan. There is therefore a need to enhance strategies aimed at reducing TB-related deaths, especially among those living with HIV.

3D human tissue models and microphysiological systems for HIV and related comorbidities

Three-dimensional (3D) human tissue models/microphysiological systems (e.g., organs-on-chips, organoids, and tissue explants) model HIV and related comorbidities and have potential to address critical questions, including characterization of viral reservoirs, insufficient innate and adaptive immune responses, biomarker discovery and evaluation, medical complexity with comorbidities (e.g., tuberculosis and SARS-CoV-2), and protection and transmission during pregnancy and birth. Composed of multiple primary or stem cell-derived cell types organized in a dedicated 3D space, these systems hold unique promise for better reproducing human physiology, advancing therapeutic development, and bridging the human-animal model translational gap. Here, we discuss the promises and achievements with 3D human tissue models in HIV and comorbidity research, along with remaining barriers with respect to cell biology, virology, immunology, and regulatory issues.

Single-Cell Transcriptomics of Mtb/HIV Co-Infection

Tuberculosis (TB) and Human Immunodeficiency Virus (HIV) co-infection continues to pose a significant healthcare burden. HIV co-infection during TB predisposes the host to the reactivation of latent TB infection (LTBI), worsening disease conditions and mortality. There is a lack of biomarkers of LTBI reactivation and/or immune-related transcriptional signatures to distinguish active TB from LTBI and predict TB reactivation upon HIV co-infection. Characterizing individual cells using next-generation sequencing-based technologies has facilitated novel biological discoveries about infectious diseases, including TB and HIV pathogenesis. Compared to the more conventional sequencing techniques that provide a bulk assessment, single-cell RNA sequencing (scRNA-seq) can reveal complex and new cell types and identify more high-resolution cellular heterogeneity. This review will summarize the progress made in defining the immune atlas of TB and HIV infections using scRNA-seq, including host-pathogen interactions, heterogeneity in HIV pathogenesis, and the animal models employed to model disease. This review will also address the tools needed to bridge the gap between disease outcomes in single infection vs. co-infection. Finally, it will elaborate on the translational benefits of single-cell sequencing in TB/HIV diagnosis in humans.