Trust Odia1,2,3,4,5, Stephanus T Malherbe1,2,3, Stuart Meier1,2,3,4,5, Elizna Maasdorp1,2,3,4,5, Léanie Kleynhans1,2,3, Nelita du Plessis1,2,3, Andre G Loxton1,2,3, Daniel E Zak6, Ethan Thompson6, Fergal J Duffy6,7, Helena Kuivaniemi1,2,3, Katharina Ronacher1,2,3,8, Jill Winter9, Gerhard Walzl1,2,3,4, Gerard Tromp1,2,3,4,5. 1. Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa. 2. DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa. 3. South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa. 4. Bioinformatics Unit, South African Tuberculosis Bioinformatics Initiative, Stellenbosch University, Cape Town, South Africa. 5. Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa. 6. Center for Infectious Disease Research, Seattle, WA, United States. 7. Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States. 8. Translational Research Institute, Mater Research Institute - The University of Queensland, Brisbane, QLD, Australia. 9. Catalysis Foundation for Health, San Ramon, CA, United States.
Abstract
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.
pan class="Disease">Pulmonary tuberculosis (PTB) is characterized by n>n class="Disease">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.
Authors: Ruth Wassermann; Muhammet F Gulen; Claudia Sala; Sonia Garcia Perin; Ye Lou; Jan Rybniker; Jonathan L Schmid-Burgk; Tobias Schmidt; Veit Hornung; Stewart T Cole; Andrea Ablasser Journal: Cell Host Microbe Date: 2015-06-02 Impact factor: 21.023
Authors: Laura L Koth; Owen D Solberg; Jeffrey C Peng; Nirav R Bhakta; Christine P Nguyen; Prescott G Woodruff Journal: Am J Respir Crit Care Med Date: 2011-08-18 Impact factor: 21.405
Authors: Kristel J M Janssen; Yvonne Vergouwe; A Rogier T Donders; Frank E Harrell; Qingxia Chen; Diederick E Grobbee; Karel G M Moons Journal: Clin Chem Date: 2009-03-12 Impact factor: 8.327
Authors: R A J Nievelstein; H M E Quarles van Ufford; T C Kwee; M B Bierings; I Ludwig; F J A Beek; J M H de Klerk; W P Th M Mali; P W de Bruin; J Geleijns Journal: Eur Radiol Date: 2012-04-27 Impact factor: 5.315
Authors: Thomas J Scriba; Adam Penn-Nicholson; Smitha Shankar; Tom Hraha; Ethan G Thompson; David Sterling; Elisa Nemes; Fatoumatta Darboe; Sara Suliman; Lynn M Amon; Hassan Mahomed; Mzwandile Erasmus; Wendy Whatney; John L Johnson; W Henry Boom; Mark Hatherill; Joe Valvo; Mary Ann De Groote; Urs A Ochsner; Alan Aderem; Willem A Hanekom; Daniel E Zak Journal: PLoS Pathog Date: 2017-11-16 Impact factor: 6.823
Authors: Stephanus T Malherbe; Patrick Dupont; Ilse Kant; Petri Ahlers; Magdalena Kriel; André G Loxton; Ray Y Chen; Laura E Via; Friedrich Thienemann; Robert J Wilkinson; Clifton E Barry; Stephanie Griffith-Richards; Annare Ellman; Katharina Ronacher; Jill Winter; Gerhard Walzl; James M Warwick Journal: EJNMMI Res Date: 2018-06-25 Impact factor: 3.138
Authors: Jan Heyckendorf; Sophia B Georghiou; Nicole Frahm; Norbert Heinrich; Irina Kontsevaya; Maja Reimann; David Holtzman; Marjorie Imperial; Daniela M Cirillo; Stephen H Gillespie; Morten Ruhwald Journal: Clin Microbiol Rev Date: 2022-03-21 Impact factor: 50.129
Authors: Faten Ahmad Alsulaimany; Nidal M Omer Zabermawi; Haifa Almukadi; Snijesh V Parambath; Preetha Jayasheela Shetty; Venkatesh Vaidyanathan; Ramu Elango; Babajan Babanaganapalli; Noor Ahmad Shaik Journal: Front Med (Lausanne) Date: 2022-02-07