Metagenomic DNA sequencing to quantify Mycobacterium tuberculosis DNA and diagnose tuberculosis

© 2022. The Author(s)..

Tuberculosis (TB) remains a significant cause of mortality worldwide. Metagenomic next-generation sequencing has the potential to reveal biomarkers of active disease, identify coinfection, and improve detection for sputum-scarce or culture-negative cases. We conducted a large-scale comparative study of 428 plasma, urine, and oral swab samples from 334 individuals from TB endemic and non-endemic regions to evaluate the utility of a shotgun metagenomic DNA sequencing assay for tuberculosis diagnosis. We found that the composition of the control population had a strong impact on the measured performance of the diagnostic test: the use of a control population composed of individuals from a TB non-endemic region led to a test with nearly 100% specificity and sensitivity, whereas a control group composed of individuals from TB endemic regions exhibited a high background of nontuberculous mycobacterial DNA, limiting the diagnostic performance of the test. Using mathematical modeling and quantitative comparisons to matched qPCR data, we found that the burden of Mycobacterium tuberculosis DNA constitutes a very small fraction (0.04 or less) of the total abundance of DNA originating from mycobacteria in samples from TB endemic regions. Our findings suggest that the utility of a minimally invasive metagenomic sequencing assay for pulmonary tuberculosis diagnostics is limited by the low burden of M. tuberculosis and an overwhelming biological background of nontuberculous mycobacterial DNA.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Scientific reports - 12(2022), 1 vom: 10. Okt., Seite 16972

Sprache:

Englisch

Beteiligte Personen:

Chang, Adrienne [VerfasserIn]
Mzava, Omary [VerfasserIn]
Djomnang, Liz-Audrey Kounatse [VerfasserIn]
Lenz, Joan Sesing [VerfasserIn]
Burnham, Philip [VerfasserIn]
Kaplinsky, Peter [VerfasserIn]
Andama, Alfred [VerfasserIn]
Connelly, John [VerfasserIn]
Bachman, Christine M [VerfasserIn]
Cattamanchi, Adithya [VerfasserIn]
Steadman, Amy [VerfasserIn]
De Vlaminck, Iwijn [VerfasserIn]

Links:

Volltext

Themen:

9007-49-2
Biomarkers
DNA
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Anmerkungen:

Date Completed 12.10.2022

Date Revised 28.12.2022

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41598-022-21244-x

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM347321917