The Peripheral Blood Transcriptome Is Correlated With PET Measures of Lung Inflammation During Successful Tuberculosis Treatment

Bibliographic Details
Title: The Peripheral Blood Transcriptome Is Correlated With PET Measures of Lung Inflammation During Successful Tuberculosis Treatment
Authors: Trust Odia, Stephanus T. Malherbe, Stuart Meier, Elizna Maasdorp, Léanie Kleynhans, Nelita du Plessis, Andre G. Loxton, Daniel E. Zak, Ethan Thompson, Fergal J. Duffy, Helena Kuivaniemi, Katharina Ronacher, Jill Winter, Gerhard Walzl, Gerard Tromp, the Catalysis TB-Biomarker Consortium, André G. Loxton, Annare Ellman, Bronwyn Smith, Caroline G. G. Beltran, Clifton E. Barry, David Alland, Friedrich Thienemann, James M. Warwick, Kim Stanley, Ilse Kant, Lani Thiart, Lance A. Lucas, Laura E. Via, Lori E. Dodd, Magdalena Kriel, Nelita Plessis Du, Patrick Dupont, Ray Y. Chen, Robert J. Wilkinson, Shubhada Shenai, Stephanie Griffith-Richards
Source: Frontiers in Immunology, Vol 11 (2021)
Publisher Information: Frontiers Media S.A., 2021.
Publication Year: 2021
Collection: LCC:Immunologic diseases. Allergy
Subject Terms: gene expression, [18F]FDG PET-CT, RNA-sequencing, mixed-effect models, pathway analysis, transcription factor binding site, Immunologic diseases. Allergy, RC581-607
More Details: Pulmonary tuberculosis (PTB) is characterized by lung granulomas, inflammation and tissue destruction. Here we used within-subject peripheral blood gene expression over time to correlate with the within-subject lung metabolic activity, as measured by positron emission tomography (PET) to identify biological processes and pathways underlying overall resolution of lung inflammation. We used next-generation RNA sequencing and [18F]FDG PET-CT data, collected at diagnosis, week 4, and week 24, from 75 successfully cured PTB patients, with the [18F]FDG activity as a surrogate for lung inflammation. Our linear mixed-effects models required that for each individual the slope of the line of [18F]FDG data in the outcome and the slope of the peripheral blood transcript expression data correlate, i.e., the slopes of the outcome and explanatory variables had to be similar. Of 10,295 genes that changed as a function of time, we identified 639 genes whose expression profiles correlated with decreasing [18F]FDG uptake levels in the lungs. Gene enrichment over-representation analysis revealed that numerous biological processes were significantly enriched in the 639 genes, including several well known in TB transcriptomics such as platelet degranulation and response to interferon gamma, thus validating our novel approach. Others not previously associated with TB pathobiology included smooth muscle contraction, a set of pathways related to mitochondrial function and cell death, as well as a set of pathways connecting transcription, translation and vesicle formation. We observed up-regulation in genes associated with B cells, and down-regulation in genes associated with platelet activation. We found 254 transcription factor binding sites to be enriched among the 639 gene promoters. In conclusion, we demonstrated that of the 10,295 gene expression changes in peripheral blood, only a subset of 639 genes correlated with inflammation in the lungs, and the enriched pathways provide a description of the biology of resolution of lung inflammation as detectable in peripheral blood. Surprisingly, resolution of PTB inflammation is positively correlated with smooth muscle contraction and, extending our previous observation on mitochondrial genes, shows the presence of mitochondrial stress. We focused on pathway analysis which can enable therapeutic target discovery and potential modulation of the host response to TB.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1664-3224
Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2020.596173/full; https://doaj.org/toc/1664-3224
DOI: 10.3389/fimmu.2020.596173
Access URL: https://doaj.org/article/70919f9b260c42568cd12c831dc3bbde
Accession Number: edsdoj.70919f9b260c42568cd12c831dc3bbde
Database: Directory of Open Access Journals
More Details
ISSN:16643224
DOI:10.3389/fimmu.2020.596173
Published in:Frontiers in Immunology
Language:English