Correlation between Disease Severity and the Intestinal Microbiome in Mycobacterium tuberculosis-Infected Rhesus Macaques
Author(s) -
Sivaranjani Namasivayam,
Keith D. Kauffman,
John A. McCulloch,
Wuxing Yuan,
Vishal Thovarai,
Lara Mittereder,
Giorgio Trinchieri,
Daniel L. Barber,
Alan Sher
Publication year - 2019
Publication title -
mbio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.562
H-Index - 121
eISSN - 2161-2129
pISSN - 2150-7511
DOI - 10.1128/mbio.01018-19
Subject(s) - tuberculosis , microbiome , mycobacterium tuberculosis , immunology , biology , disease , macaque , lachnospiraceae , metagenomics , microbiology and biotechnology , virology , medicine , bacteria , 16s ribosomal rna , genetics , pathology , gene , firmicutes , paleontology
Why some but not all individuals infected withMycobacterium tuberculosis develop disease is poorly understood. Previous studies have revealed an important influence of the microbiota on host resistance to infection with a number of different disease agents. Here, we investigated the possible role of the individual’s microbiome in impacting the outcome ofM. tuberculosis infection in rhesus monkeys experimentally exposed to this important human pathogen. AlthoughM. tuberculosis infection itself caused only minor alterations in the composition of the gut microbiota in these animals, we observed a significant correlation between an individual monkey’s microbiome and the severity of pulmonary disease. More importantly, this correlation between microbiota structure and disease outcome was evident even prior to infection. Taken together, our findings suggest that the composition of the microbiome may be a useful predictor of tuberculosis progression in infected individuals either directly because of the microbiome’s direct influence on host resistance or indirectly because of its association with other host factors that have this influence. This calls for exploration of the potential of the microbiota composition as a predictive biomarker through carefully designed prospective studies.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom