Ngiambudulu M Francisco1, Yi-Min Fang2, Li Ding3, Siyuan Feng1, Yiying Yang1, Minhao Wu1, Muazzam Jacobs4, Bernhard Ryffel5, Xi Huang6. 1. Program of Immunology, Affiliated Guangzhou Women and Children's Medical Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, PR China; Institute of Tuberculosis Control, Key Laboratory of Tropical Diseases Control, Ministry of Education, Sun Yat-sen University, Guangzhou, PR China. 2. Guangzhou Chest Hospital, Guangzhou, PR China. 3. Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, PR China. 4. Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, Health Sciences Faculty, University of Cape Town, Cape Town, South Africa. 5. CNRS UMR7355, Experimental and Molecular Immunology and Neurogenetics, 45071 Orleans, France. 6. Program of Immunology, Affiliated Guangzhou Women and Children's Medical Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, PR China; Institute of Tuberculosis Control, Key Laboratory of Tropical Diseases Control, Ministry of Education, Sun Yat-sen University, Guangzhou, PR China; Guangzhou Chest Hospital, Guangzhou, PR China; Department of Infectious Diseases, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, PR China. Electronic address: huangxi6@mail.sysu.edu.cn.
Abstract
OBJECTIVE: We validated the accuracy of host selected signature gene set using unstimulated whole blood (WB), and peripheral blood mononuclear cells (PBMC) in the diagnosis of tuberculosis (TB). METHODS: The unstimulated WB and PBMC from 1417 individuals with active pulmonary TB patients, other lung diseases and healthy participants were analyzed using real time polymerase chain reaction (RT-PCR). RESULTS: The WB cohort test demonstrates that the combination of GBP5 and KLF2 can differentiate active TB versus HC with sensitivity and specificity of 77.8% and 87.1%, respectively; but most importantly active TB versus OD with sensitivity and specificity of 96.1% and 85.2%, respectively. Again during treatment course, the TB score of GBP5 and KLF2, analytes secretion and clinical parameters were found to be associated in disease progression. In the PBMC cohort test, we found that the only and best discriminatory combination was GBP5, DUSP3 and KLF2 inthe active TB versus HC with a sensitivity and specificity of 76.4% and 85.9%, respectively. CONCLUSIONS: Our study reveals that GBP5 and KLF2 may be useful as a diagnostic tool for active TB, also the two-gene set may serve as surrogate biomarkers for monitoring TB therapy.
OBJECTIVE: We validated the accuracy of host selected signature gene set using unstimulated whole blood (WB), and peripheral blood mononuclear cells (PBMC) in the diagnosis of tuberculosis (TB). METHODS: The unstimulated WB and PBMC from 1417 individuals with active pulmonary TBpatients, other lung diseases and healthy participants were analyzed using real time polymerase chain reaction (RT-PCR). RESULTS: The WB cohort test demonstrates that the combination of GBP5 and KLF2 can differentiate active TB versus HC with sensitivity and specificity of 77.8% and 87.1%, respectively; but most importantly active TB versus OD with sensitivity and specificity of 96.1% and 85.2%, respectively. Again during treatment course, the TB score of GBP5 and KLF2, analytes secretion and clinical parameters were found to be associated in disease progression. In the PBMC cohort test, we found that the only and best discriminatory combination was GBP5, DUSP3 and KLF2 inthe active TB versus HC with a sensitivity and specificity of 76.4% and 85.9%, respectively. CONCLUSIONS: Our study reveals that GBP5 and KLF2 may be useful as a diagnostic tool for active TB, also the two-gene set may serve as surrogate biomarkers for monitoring TB therapy.
Authors: Samuel G Schumacher; Claudia M Denkinger; Erik Södersten; Stefano Ongarello; Anna Mantsoki; Romain Wyss; David H Persing; Sara Banderby; Linda Strömqvist Meuzelaar; Jacqueline Prieto; Devasena Gnanashanmugam; Purvesh Khatri Journal: J Clin Microbiol Date: 2021-02-18 Impact factor: 5.948
Authors: Alexandra J Zimmer; Samuel G Schumacher; Morten Ruhwald; Claudia M Denkinger; Erik Södersten; Anna Mantsoki; Romain Wyss; David H Persing; Sara Banderby; Linda Strömqvist Meuzelaar; Jacqueline Prieto; Devasena Gnanashanmugam; Purvesh Khatri; Stefano Ongarello Journal: BMC Res Notes Date: 2021-06-30