Classification of tuberculosis-related programmed cell death-related patient subgroups and associated immune cell profiling.

ABSTRACT:

Background

Tuberculosis (TB) is the deadliest communicable disease in the world with the exception of the ongoing COVID-19 pandemic. Programmed cell death (PCD) patterns play key roles in the development and progression of many disease states such that they may offer value as effective biomarkers or therapeutic targets that can aid in identifying and treating TB patients.

Materials and methods

The Gene Expression Omnibus (GEO) was used to gather TB-related datasets after which immune cell profiles in these data were analyzed to examine the potential TB-related loss of immune homeostasis. Profiling of differentially expressed PCD-related genes was performed, after which candidate hub PCD-associated genes were selected via a machine learning approach. TB patients were then str

SUBMITTER: Shen J 

PROVIDER: S-EPMC10185908 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature