Transcriptomic Biomarkers for Tuberculosis: Evaluation of DOCK9. EPHA4, and NPC2 mRNA Expression in Peripheral Blood.
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
de Araujo, Leonardo SVaas, Lea A I
Ribeiro-Alves, Marcelo
Geffers, Robert
Mello, Fernanda C Q
de Almeida, Alexandre S
Moreira, Adriana da S R
Kritski, Afrânio L
Lapa E Silva, José R
Moraes, Milton O
Pessler, Frank
Saad, Maria H F
Issue Date
2016
Metadata
Show full item recordAbstract
Lately, much effort has been made to find mRNA biomarkers for tuberculosis (TB) disease/infection with microarray-based approaches. In a pilot investigation, through RNA sequencing technology, we observed a prominent modulation of DOCK9, EPHA4, and NPC2 mRNA abundance in the blood of TB patients. To corroborate these findings, independent validations were performed in cohorts from different areas. Gene expression levels in blood were evaluated by quantitative real-time PCR (Brazil, n = 129) or reanalysis of public microarray data (UK: n = 96; South Africa: n = 51; Germany: n = 26; and UK/France: n = 63). In the Brazilian cohort, significant modulation of all target-genes was observed comparing TB vs. healthy recent close TB contacts (rCt). With a 92% specificity, NPC2 mRNA high expression (NPC2(high)) showed the highest sensitivity (85%, 95% CI 65%-96%; area under the ROC curve [AUROC] = 0.88), followed by EPHA4 (53%, 95% CI 33%-73%, AUROC = 0.73) and DOCK9 (19%, 95% CI 7%-40%; AUROC = 0.66). All the other reanalyzed cohorts corroborated the potential of NPC2(high) as a biomarker for TB (sensitivity: 82-100%; specificity: 94-97%). An NPC2(high) profile was also observed in 60% (29/48) of the tuberculin skin test positive rCt, and additional follow-up evaluation revealed changes in the expression levels of NPC2 during the different stages of Mycobacterium tuberculosis infection, suggesting that further studies are needed to evaluate modulation of this gene during latent TB and/or progression to active disease. Considering its high specificity, our data indicate, for the first time, that NPC2(high) might serve as an accurate single-gene biomarker for TB.Citation
Transcriptomic Biomarkers for Tuberculosis: Evaluation of DOCK9. EPHA4, and NPC2 mRNA Expression in Peripheral Blood. 2016, 7:1586 Front MicrobiolAffiliation
Twincore Centre of Experimental and Clinical Infection Research; a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover 30625, Germany.Journal
Frontiers in microbiologyPubMed ID
27826286Type
ArticleLanguage
enae974a485f413a2113503eed53cd6c53
10.3389/fmicb.2016.01586
Scopus Count
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/4.0/
Related articles
- Transcriptomic Biomarkers for Tuberculosis: Validation of NPC2 as a Single mRNA Biomarker to Diagnose TB, Predict Disease Progression, and Monitor Treatment Response.
- Authors: de Araujo LS, Ribeiro-Alves M, Wipperman MF, Vorkas CK, Pessler F, Saad MHF
- Issue date: 2021 Oct 9
- Reprogramming of Small Noncoding RNA Populations in Peripheral Blood Reveals Host Biomarkers for Latent and Active Mycobacterium tuberculosis Infection.
- Authors: de Araujo LS, Ribeiro-Alves M, Leal-Calvo T, Leung J, Durán V, Samir M, Talbot S, Tallam A, Mello FCQ, Geffers R, Saad MHF, Pessler F
- Issue date: 2019 Dec 3
- Genome-wide transcriptional profiling identifies potential signatures in discriminating active tuberculosis from latent infection.
- Authors: Pan L, Wei N, Jia H, Gao M, Chen X, Wei R, Sun Q, Gu S, Du B, Xing A, Zhang Z
- Issue date: 2017 Dec 22
- Potential Immunological Biomarkers for Detection of Mycobacterium tuberculosis Infection in a Setting Where M. tuberculosis Is Endemic, Ethiopia.
- Authors: Teklu T, Kwon K, Wondale B, HaileMariam M, Zewude A, Medhin G, Legesse M, Pieper R, Ameni G
- Issue date: 2018 Apr
- Gene expression profiling of the TRIM protein family reveals potential biomarkers for indicating tuberculosis status.
- Authors: Chen Y, Cao S, Sun Y, Li C
- Issue date: 2018 Jan