Single-Cell Transcriptomics of Mtb/HIV Co-Infection
Smita Kulkarni1, Janice J Endsley2, Zhao Lai3
1Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Cells
|September 28, 2023
Summary
Single-cell RNA sequencing (scRNA-seq) advances understanding of tuberculosis (TB) and Human Immunodeficiency Virus (HIV) co-infection. It reveals immune cell heterogeneity, crucial for diagnosing TB/HIV and predicting disease progression.
Area of Science:
- Immunology
- Genomics
- Infectious Diseases
Background:
- Tuberculosis (TB) and Human Immunodeficiency Virus (HIV) co-infection presents a major global health challenge.
- HIV co-infection exacerbates TB, increasing risks of latent TB infection (LTBI) reactivation, severe disease, and mortality.
- Current diagnostic methods lack biomarkers to differentiate active TB from LTBI or predict TB reactivation in co-infected individuals.
Purpose of the Study:
- To review the application of single-cell RNA sequencing (scRNA-seq) in dissecting the immune landscape of TB and HIV co-infection.
- To explore host-pathogen interactions and cellular heterogeneity in TB/HIV pathogenesis using scRNA-seq.
- To discuss the translational potential of scRNA-seq for improved TB/HIV diagnosis and management.
Main Methods:
- Review of studies utilizing single-cell RNA sequencing (scRNA-seq) to analyze immune responses in TB and HIV infections.
- Analysis of host-pathogen interactions and cellular heterogeneity at a single-cell level.
- Examination of animal models used in TB/HIV research and the utility of scRNA-seq in these models.
Main Results:
- scRNA-seq provides high-resolution insights into immune cell heterogeneity and function in TB and HIV infections.
- It facilitates the identification of distinct cellular signatures associated with single versus co-infections.
- scRNA-seq aids in understanding complex host-pathogen interactions and pathogenesis pathways.
Conclusions:
- scRNA-seq is a powerful tool for mapping the immune atlas in TB and HIV co-infection, revealing previously unrecognized cellular heterogeneity.
- This technology holds promise for identifying novel biomarkers for LTBI reactivation and predicting disease outcomes.
- Translational applications of scRNA-seq can significantly enhance diagnostic capabilities and therapeutic strategies for TB/HIV patients.


