Topic Editors

Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
Dr. Ying Xue
Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA

Discriminating Tuberculosis Infection States: Immunological Signatures and Emerging Diagnostics

Abstract submission deadline
30 August 2027
Manuscript submission deadline
30 October 2027
Viewed by
1129

Topic Information

Dear Colleagues,

Tuberculosis (TB) manifests across a spectrum, from asymptomatic infection to progressive disease. Precise discrimination between these infection states is essential for targeted therapy, transmission control, and effective public health interventions. This Topic examines the immunological signatures that distinguish TB states, including immune cell dynamics and multiplexed molecular profiles. It highlights novel biomarkers and emerging diagnostic technologies—such as single-cell sequencing, high-dimensional immunological assays, and machine learning approaches—designed to enhance the accuracy and efficiency of TB diagnosis. Advances in these areas promise to enable timely, personalized interventions and bolster global efforts to control and eliminate TB.

Dr. Ying Luo
Dr. Ying Xue
Topic Editors

Keywords

  • tuberculosis
  • infection states
  • immunological signatures
  • biomarkers
  • single-cell sequencing
  • immune profiling
  • machine learning

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Biomedicines
biomedicines
4.5 7.8 2013 18.2 Days CHF 2600 Submit
Diagnostics
diagnostics
3.8 6.9 2011 20.4 Days CHF 2600 Submit
International Journal of Molecular Sciences
ijms
5.6 10.0 2000 17.5 Days CHF 2900 Submit
Journal of Respiration
jor
- - 2021 44.4 Days CHF 1000 Submit
Pathogens
pathogens
3.8 6.7 2012 12.5 Days CHF 2400 Submit

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Published Papers (1 paper)

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15 pages, 5395 KB  
Article
Research on Gut Microbiota Features and Potential Biomarkers in Patients with Pulmonary Tuberculosis
by Zi-Jie Chen, Gang Liu, Yuan Wang, Jie-Qing Zhong, Yu-Jie Mo, Dong-Xu Liang and Dan Luo
Pathogens 2026, 15(8), 805; https://doi.org/10.3390/pathogens15080805 - 30 Jul 2026
Viewed by 257
Abstract
(1) Objective: To characterize structural and functional alterations of gut microbiota in patients with newly diagnosed active pulmonary tuberculosis (ATB), screen differential bacterial taxa associated with Mycobacterium tuberculosis (MTB) infection, and explore tuberculosis-related microbial metabolic alterations via predictive functional profiling. (2) Methods: Fresh [...] Read more.
(1) Objective: To characterize structural and functional alterations of gut microbiota in patients with newly diagnosed active pulmonary tuberculosis (ATB), screen differential bacterial taxa associated with Mycobacterium tuberculosis (MTB) infection, and explore tuberculosis-related microbial metabolic alterations via predictive functional profiling. (2) Methods: Fresh morning fecal samples were collected from 33 treatment-naive patients with newly diagnosed ATB (ATB group) and 30 healthy controls (HC group). 16S rRNA gene high-throughput sequencing was performed to compare intergroup differences in gut microbial α/β diversity, taxonomic composition, and predicted KEGG functional profiles. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the internal discriminative ability of candidate differential genera in this single small cohort. (3) Results: The ATB group showed significantly lower gut microbial α-diversity than healthy controls (all P < 0.05). Principal coordinate analysis (PCoA) based on Bray-Curtis distances combined with permutational multivariate analysis of variance (PERMANOVA) revealed significant overall dissimilarity of gut microbial community structure between the two groups (R2 = 0.31, p = 0.005). At the phylum level, the relative abundances of Firmicutes and Bacteroidetes were higher, while Proteobacteria was less abundant in ATB patients relative to HC. At the genus level, Streptococcus, R. gnavus and Parabacteroides were significantly enriched in ATB patients, whereas Bifidobacterium, Pseudomonas, Megamonas and Faecalibacterium were depleted. Linear discriminant analysis effect size (LEfSe) analysis uncovered group-specific signature taxa, with pro-inflammatory genera Streptococcus and R. gnavus markedly enriched in the ATB group. ROC analysis yielded area under the curve (AUC) values of 0.836 for Streptococcus and 0.805 for R. gnavus. Predictive KEGG functional analysis demonstrated obvious intergroup differences in microbial metabolism, with purine and pyrimidine nucleotide metabolism pathways significantly upregulated in the ATB group. (4) Conclusions: Treatment-naive patients with ATB exhibited reduced gut microbial diversity in this small cohort. The enrichment of Streptococcus and R. gnavus, as well as the upregulation of purine and pyrimidine metabolic pathways, are all associated with active MTB infection. Full article
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