دورية أكاديمية
أعرض في EDS

Immunometabolic Signatures Predict Risk of Progression to Active Tuberculosis and Disease Outcome.

التفاصيل البيبلوغرافية
العنوان: Immunometabolic Signatures Predict Risk of Progression to Active Tuberculosis and Disease Outcome.
المؤلفون: Duffy FJ; Center for Global Infectious Disease Research, Seattle Childrens Research Institute, Seattle, WA, United States., Weiner J 3rd; Max Planck Institute for Infection Biology, Berlin, Germany., Hansen S; Oregon Health and Science University, Portland, OR, United States., Tabb DL; Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa., Suliman S; Department of Pathology, South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine & Division of Immunology, University of Cape Town, Cape Town, South Africa., Thompson E; Center for Infectious Disease Research, Seattle, WA, United States., Maertzdorf J; Max Planck Institute for Infection Biology, Berlin, Germany., Shankar S; Center for Infectious Disease Research, Seattle, WA, United States., Tromp G; Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa., Parida S; Max Planck Institute for Infection Biology, Berlin, Germany.; Translational Medicine & Global Health Consulting, Berlin, Germany., Dover D; Center for Global Infectious Disease Research, Seattle Childrens Research Institute, Seattle, WA, United States., Axthelm MK; Oregon Health and Science University, Portland, OR, United States., Sutherland JS; Vaccines & Immunity Theme, Medical Research Council Unit, Fajara, Gambia., Dockrell HM; Department of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, United Kingdom., Ottenhoff THM; Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands., Scriba TJ; Department of Pathology, South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine & Division of Immunology, University of Cape Town, Cape Town, South Africa., Picker LJ; Oregon Health and Science University, Portland, OR, United States., Walzl G; Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa., Kaufmann SHE; Max Planck Institute for Infection Biology, Berlin, Germany., Zak DE; Center for Infectious Disease Research, Seattle, WA, United States.
مؤلفون مشاركون: GC6-74 Consortium
المصدر: Frontiers in immunology [Front Immunol] 2019 Mar 22; Vol. 10, pp. 527. Date of Electronic Publication: 2019 Mar 22 (Print Publication: 2019).
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: [Lausanne : Frontiers Research Foundation]
مواضيع طبية MeSH: Tuberculosis*/genetics , Tuberculosis*/immunology , Tuberculosis*/metabolism, Adolescent ; Adult ; Africa ; Animals ; Biomarkers ; Disease Progression ; Female ; Humans ; Macaca mulatta ; Male ; Metabolome ; Mycobacterium tuberculosis ; Transcriptome ; Tuberculosis Vaccines ; Young Adult
مستخلص: There remains a pressing need for biomarkers that can predict who will progress to active tuberculosis (TB) after exposure to Mycobacterium tuberculosis (MTB) bacterium. By analyzing cohorts of household contacts of TB index cases (HHCs) and a stringent non-human primate (NHP) challenge model, we evaluated whether integration of blood transcriptional profiling with serum metabolomic profiling can provide new understanding of disease processes and enable improved prediction of TB progression. Compared to either alone, the combined application of pre-existing transcriptome- and metabolome-based signatures more accurately predicted TB progression in the HHC cohorts and more accurately predicted disease severity in the NHPs. Pathway and data-driven correlation analyses of the integrated transcriptional and metabolomic datasets further identified novel immunometabolomic signatures significantly associated with TB progression in HHCs and NHPs, implicating cortisol, tryptophan, glutathione, and tRNA acylation networks. These results demonstrate the power of multi-omics analysis to provide new insights into complex disease processes.
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معلومات مُعتمدة: P51 OD011092 United States OD NIH HHS; MC_UP_A900_1122 United Kingdom MRC_ Medical Research Council; U19 AI135976 United States AI NIAID NIH HHS; U19 AI106761 United States AI NIAID NIH HHS; P41 GM109824 United States GM NIGMS NIH HHS; MC_U190071468 United Kingdom MRC_ Medical Research Council
فهرسة مساهمة: Investigator: SHE Kaufmann; SK Parida; R Golinski; J Maertzdorf; J Weiner; M Jacobson; G McEwen; G Walzl; GF Black; G van der Spuy; K Stanley; M Kriel; N Du Plessis; N Nene; AG Loxton; NN Chegou; S Suliman; T Scriba; M Fisher; H Mahomed; J Hughes; K Downing; A Penn-Nicholson; H Mulenga; B Abel; M Bowmaker; B Kagina; W Kwong; CW Hanekom; THM Ottenhoff; MR Klein; MC Haks; KL Franken; A Geluk; KE van Meijgaarden; SA Joosten; D van Baarle; F Miedema; WH Boom; B Thiel; J Sadoff; D Sizemore; S Ramachandran; L Barker; M Brennan; F Weichold; S Muller; L Geiter; G Schoolnik; G Dolganov; T Van; H Mayanja-Kizza; M Joloba; S Zalwango; M Nsereko; B Okwera; H Kisingo; HM Dockrell; S Smith; P Gorak-Stolinska; YG Hur; M Lalor; JS Lee; AC Crampin; N French; B Ngwira; AB Smith; K Watkins; L Ambrose; F Simukonda; H Mvula; F Chilongo; J Saul; K Branson; D Kassa; A Abebe; T Mesele; B Tegbaru; R Howe; A Mihret; A Aseffa; Y Bekele; R Iwnetu; M Tafesse; L Yamuah; M Ota; J Sutherland; P Hill; R Adegbola; T Corrah; M Antonio; T Togun; I Adetifa; S Donkor; P Andersen; I Rosenkrands; M Doherty; K Weldingh
Keywords: biomarker; host-pathogen interaction; household contact; inflammation; metabolomics; rhesus macaque; transcriptomics; tuberculosis
المشرفين على المادة: 0 (Biomarkers)
0 (Tuberculosis Vaccines)
تواريخ الأحداث: Date Created: 20190411 Date Completed: 20200824 Latest Revision: 20210109
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6440524
DOI: 10.3389/fimmu.2019.00527
PMID: 30967866
قاعدة البيانات: MEDLINE
الوصف
تدمد:1664-3224
DOI:10.3389/fimmu.2019.00527