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Dataset Information

A diagnostic model for distinguishing between active tuberculosis and latent tuberculosis infection based on the blood expression profiles of autophagy-related genes.


ABSTRACT:

Background

Autophagy is closely involved in the control of mycobacterial infection.

Objectives

Here, a diagnostic model was developed using the levels of autophagy-related genes (ARGs) in the blood to differentiate active tuberculosis (ATB) and latent tuberculosis infection (LTBI).

Design

Secondary data analysis of three prospective cohorts.

Methods

The expression of ARGs in patients with ATB and LTBI were analyzed using the GSE37250, GSE19491, and GSE28623 datasets from the GEO database.

Results

Twenty-two differentially expressed ARGs were identified in the training dataset GSE37250. Using least absolute shrinkage and selection operator and multivariate logistic regression, three ARGs (FOXO1, CCL2, and ITGA3) were found that were positive

SUBMITTER: Wang C 

PROVIDER: S-EPMC10748544 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature