Transcriptional profiles discriminate patients with pulmonary tuberculosis from non-tuberculous individuals depending on the presence of non-insulin diabetes mellitus
Copyright © 2015 Elsevier Inc. All rights reserved.
| Veröffentlicht in: | Clinical immunology (Orlando, Fla.). - 1999. - 162(2016) vom: 01. Jan., Seite 107-17 |
|---|---|
| 1. Verfasser: | |
| Weitere Verfasser: | , , , , , , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2016
|
| Zugriff auf das übergeordnete Werk: | Clinical immunology (Orlando, Fla.) |
| Schlagworte: | Journal Article Research Support, Non-U.S. Gov't Biomarkers Diabetes Transcriptional profile Tuberculosis |
| Zusammenfassung: | Copyright © 2015 Elsevier Inc. All rights reserved. Our objective was to identify transcriptional biomarkers in peripheral blood mononuclear cells (PBMC) that discriminate individuals with latent tuberculosis infection (LTBI) from those with pulmonary tuberculosis (PTB) in subjects with non-insulin-dependent diabetes mellitus (NIDDM) and in individuals without NIDDM. Using gene expression microarrays we identified differentially expressed genes from lungs of mice infected with Mycobacterium tuberculosis (Mtb) or a mutant (ΔsigH) representing a non-inflammatory model. Genes expressed in blood, with inflammatory related functions were evaluated in humans by RT-qPCR. NCF1 and ORM transcripts have the better discriminatory capacity to identify PTB subjects from LTBI and non-infected controls (NICs) independently of the presence of NIDDM. The sequential evaluation of the mRNA levels of NCF1 and ORM as multiple diagnostic tests showed 95% Sensitivity (Se) and 80% Specificity (Sp). In addition, FPR2 promises to be a good biomarker for the PTB detection in subjects with NIDDM (Se=100%; Sp=90%) |
|---|---|
| Beschreibung: | Date Completed 05.05.2016 Date Revised 01.01.2016 published: Print-Electronic Citation Status MEDLINE |
| ISSN: | 1521-7035 |
| DOI: | 10.1016/j.clim.2015.11.008 |