ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2018
Blood transcriptomic markers of
Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Commensal antimicrobial resistance mediates microbiome resilience to antibiotic disruption.Science translational medicine · 2024Article
- People Living With HIV Have More Intact HIV DNA in Circulating CD4+ T Cells if They Have History of Pulmonary Tuberculosis.Pathogens & immunity · 2024Article
- Prediction of anti-tuberculosis treatment duration based on a 22-gene transcriptomic model.The European respiratory journal · 2021Article
- Gastrointestinal microbiota composition predicts peripheral inflammatory state during treatment of human tuberculosis.Nature communications · 2021Article
- RNA-Seq Transcriptome Analysis of Peripheral Blood From Cattle Infected WithFrontiers in veterinary science · 2021Article
- Urinary biomarkers of mycobacterial load and treatment response in pulmonary tuberculosis.JCI insight · 2020Article
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10 authors.
Funding
Abstract
backgroundPeripheral blood transcriptome signatures that distinguish active pulmonary tuberculosis (TB) from control groups have been reported, but correlations of these signatures with sputum mycobacterial load are incompletely defined.
methodsWe assessed the performance of published TB transcriptomic signatures in Haiti, and identified transcriptomic biomarkers of TB bacterial load in sputum as measured by Xpert® MTB/RIF molecular testing. People in Port au Prince, Haiti, with untreated pulmonary TB (n = 51) formed the study cohort: 19 people with low and 32 with high sputum Mycobacterium tuberculosis load. Peripheral whole blood transcriptomes were generated using RNA sequencing.
resultsTwenty of the differentially expressed transcripts in TB vs. no TB were differentially expressed in people with low vs. high sputum mycobacterial loads. The difference between low and high bacterial load groups was independent of radiographic severity. In a published data set of transcriptomic response to anti-tuberculosis treatment, this 20-gene subset was more treatment-responsive at 6 months than the full active TB signature.
conclusionWe identified genes whose transcript levels in the blood distinguish active TB with high vs. low M. tuberculosis loads in the sputum. These transcripts may reveal mechanisms of mycobacterial control of M. tuberculosis during active infection, as well as identifying potential biomarkers for bacterial response to anti-tuberculosis treatment.
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