Literature DB >> 26378277

Metabolomic Profiling of Plasma from Patients with Tuberculosis by Use of Untargeted Mass Spectrometry Reveals Novel Biomarkers for Diagnosis.

Susanna K P Lau1, Kim-Chung Lee2, Shirly O T Curreem2, Wang-Ngai Chow2, Kelvin K W To3, Ivan F N Hung4, Deborah T Y Ho2, Siddharth Sridhar2, Iris W S Li2, Vanessa S Y Ding2, Eleanor W F Koo5, Chi-Fong Wong6, Sidney Tam7, Ching-Wan Lam7, Kwok-Yung Yuen3, Patrick C Y Woo1.   

Abstract

Although tuberculosis (TB) is a reemerging disease that affects people in developing countries and immunocompromised populations in developed countries, the current diagnostic methods are far from optimal. Metabolomics is increasingly being used for studies on infectious diseases. We performed metabolome profiling of plasma samples to identify potential biomarkers for diagnosing TB. We compared the plasma metabolome profiles of TB patients (n = 46) with those of community-acquired pneumonia (CAP) patients (n = 30) and controls without active infection (n = 30) using ultrahigh-performance liquid chromatography-electrospray ionization-quadrupole time of flight mass spectrometry (UHPLC-ESI-QTOFMS). Using multivariate and univariate analyses, four metabolites, 12R-hydroxy-5Z,8Z,10E,14Z-eicosatetraenoic acid [12(R)-HETE], ceramide (d18:1/16:0), cholesterol sulfate, and 4α-formyl-4β-methyl-5α-cholesta-8-en-3β-ol, were identified and found to have significantly higher levels in TB patients than those in CAP patients and controls. In a comparison of TB patients and controls, the four metabolites demonstrated area under the receiver operating characteristic curve (AUC) values of 0.914, 0.912, 0.905, and 0.856, sensitivities of 84.8%, 84.8%, 87.0%, and 89.1%, specificities of 90.0%, 86.7%, 86.7%, and 80.0%, and fold changes of 4.19, 26.15, 6.09, and 1.83, respectively. In a comparison of TB and CAP patients, the four metabolites demonstrated AUC values of 0.793, 0.717, 0.802, and 0.894, sensitivities of 89.1%, 71.7%, 80.4%, and 84.8%, specificities of 63.3%, 66.7%, 70.0%, and 83.3%, and fold changes of 4.69, 3.82, 3.75, and 2.16, respectively. 4α-Formyl-4β-methyl-5α-cholesta-8-en-3β-ol combined with 12(R)-HETE or cholesterol sulfate offered ≥70% sensitivity and ≥90% specificity for differentiating TB patients from controls or CAP patients. These novel plasma biomarkers, especially 12(R)-HETE and 4α-formyl-4β-methyl-5α-cholesta-8-en-3β-ol, alone or in combination, are potentially useful for rapid and noninvasive diagnosis of TB. The present findings may offer insights into the pathogenesis and host response in TB.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 26378277      PMCID: PMC4652110          DOI: 10.1128/JCM.01568-15

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  52 in total

1.  Clinical evaluation of the polymerase chain reaction for the rapid diagnosis of tuberculosis.

Authors:  V C C Cheng; W C Yam; I F N Hung; P C Y Woo; S K P Lau; B S F Tang; K Y Yuen
Journal:  J Clin Pathol       Date:  2004-03       Impact factor: 3.411

2.  A metabolomics approach to characterise and identify various Mycobacterium species.

Authors:  Ilse Olivier; Du Toit Loots
Journal:  J Microbiol Methods       Date:  2012-01-24       Impact factor: 2.363

3.  Evaluation of the analytical performance of the Xpert MTB/RIF assay.

Authors:  Robert Blakemore; Elizabeth Story; Danica Helb; JoAnn Kop; Padmapriya Banada; Michelle R Owens; Soumitesh Chakravorty; Martin Jones; David Alland
Journal:  J Clin Microbiol       Date:  2010-05-26       Impact factor: 5.948

4.  Misidentification of Aspergillus nomius and Aspergillus tamarii as Aspergillus flavus: characterization by internal transcribed spacer, β-Tubulin, and calmodulin gene sequencing, metabolic fingerprinting, and matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Emily W T Tam; Jonathan H K Chen; Eunice C L Lau; Antonio H Y Ngan; Kitty S C Fung; Kim-Chung Lee; Ching-Wan Lam; Kwok-Yung Yuen; Susanna K P Lau; Patrick C Y Woo
Journal:  J Clin Microbiol       Date:  2014-01-22       Impact factor: 5.948

5.  Specificity in ceramide biosynthesis from long chain bases and various fatty acyl coenzyme A's by brain microsomes.

Authors:  P Morell; N S Radin
Journal:  J Biol Chem       Date:  1970-01-25       Impact factor: 5.157

6.  Genetic diversity of antigens Rv2945c and Rv0309 in Mycobacterium tuberculosis strains may reflect ongoing immune evasion.

Authors:  Yi Jiang; Xiangfeng Dou; Wen Zhang; Haican Liu; Xiuqin Zhao; Haiyin Wang; Lulu Lian; Qin Yu; Jingrui Zhang; Guilian Li; Chen Chen; Kanglin Wan
Journal:  FEMS Microbiol Lett       Date:  2013-08-23       Impact factor: 2.742

7.  Lipidomic discovery of deoxysiderophores reveals a revised mycobactin biosynthesis pathway in Mycobacterium tuberculosis.

Authors:  Cressida A Madigan; Tan-Yun Cheng; Emilie Layre; David C Young; Matthew J McConnell; C Anthony Debono; Jeffrey P Murry; Jun-Rong Wei; Clifton E Barry; G Marcela Rodriguez; Isamu Matsunaga; Eric J Rubin; D Branch Moody
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

8.  Acidic sphingomyelinase mediates entry of N. gonorrhoeae into nonphagocytic cells.

Authors:  H Grassmé; E Gulbins; B Brenner; K Ferlinz; K Sandhoff; K Harzer; F Lang; T F Meyer
Journal:  Cell       Date:  1997-11-28       Impact factor: 41.582

Review 9.  Diagnosis of smear-negative pulmonary tuberculosis in people with HIV infection or AIDS in resource-constrained settings: informing urgent policy changes.

Authors:  Haileyesus Getahun; Mark Harrington; Rick O'Brien; Paul Nunn
Journal:  Lancet       Date:  2007-06-16       Impact factor: 79.321

10.  Expression and regulation of 12/15-lipoxygenases in human primary macrophages.

Authors:  Sophia J A Wuest; Margot Crucet; Claudio Gemperle; Christa Loretz; Martin Hersberger
Journal:  Atherosclerosis       Date:  2012-08-23       Impact factor: 5.162

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  21 in total

1.  Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis.

Authors:  Susanna K P Lau; Kim-Chung Lee; George C S Lo; Vanessa S Y Ding; Wang-Ngai Chow; Tony Y H Ke; Shirly O T Curreem; Kelvin K W To; Deborah T Y Ho; Siddharth Sridhar; Sally C Y Wong; Jasper F W Chan; Ivan F N Hung; Kong-Hung Sze; Ching-Wan Lam; Kwok-Yung Yuen; Patrick C Y Woo
Journal:  Int J Mol Sci       Date:  2016-02-27       Impact factor: 5.923

2.  Tuberculosis causes highly conserved metabolic changes in human patients, mycobacteria-infected mice and zebrafish larvae.

Authors:  Yi Ding; Robert-Jan Raterink; Rubén Marín-Juez; Wouter J Veneman; Koen Egbers; Susan van den Eeden; Mariëlle C Haks; Simone A Joosten; Tom H M Ottenhoff; Amy C Harms; A Alia; Thomas Hankemeier; Herman P Spaink
Journal:  Sci Rep       Date:  2020-07-15       Impact factor: 4.379

Review 3.  Clinical Mass Spectrometry in the Bioinformatics Era: A Hitchhiker's Guide.

Authors:  Yeow-Kuan Chong; Chi-Chun Ho; Shui-Yee Leung; Susanna K P Lau; Patrick C Y Woo
Journal:  Comput Struct Biotechnol J       Date:  2018-08-28       Impact factor: 7.271

4.  NMR metabolome of Borrelia burgdorferi in vitro and in vivo in mice.

Authors:  Otto Glader; Elina Puljula; Johanna Jokioja; Maarit Karonen; Jari Sinkkonen; Jukka Hytönen
Journal:  Sci Rep       Date:  2019-05-29       Impact factor: 4.379

5.  Identification of serum biomarkers for active pulmonary tuberculosis using a targeted metabolomics approach.

Authors:  Yonggeun Cho; Youngmok Park; Bora Sim; Jungho Kim; Hyejon Lee; Sang-Nae Cho; Young Ae Kang; Sang-Guk Lee
Journal:  Sci Rep       Date:  2020-03-02       Impact factor: 4.379

6.  Performance of metabonomic serum analysis for diagnostics in paediatric tuberculosis.

Authors:  Nicholas J Andreas; Robindra Basu Roy; Maria Gomez-Romero; Verena Horneffer-van der Sluis; Matthew R Lewis; Stephane S M Camuzeaux; Beatriz Jiménez; Joram M Posma; Leopold Tientcheu; Uzochukwu Egere; Abdou Sillah; Toyin Togun; Elaine Holmes; Beate Kampmann
Journal:  Sci Rep       Date:  2020-04-29       Impact factor: 4.379

7.  Plasma LOX-Products and Monocyte Signaling Is Reduced by Adjunctive Cyclooxygenase-2 Inhibitor in a Phase I Clinical Trial of Tuberculosis Patients.

Authors:  Marthe Jøntvedt Jørgensen; Kristin G Nore; Hans Christian D Aass; Emilie Layre; Jérôme Nigou; Rasmus Mortensen; Kjetil Tasken; Dag Kvale; Synne Jenum; Kristian Tonby; Anne Ma Dyrhol-Riise
Journal:  Front Cell Infect Microbiol       Date:  2021-07-09       Impact factor: 5.293

8.  Integrative Multi-Omics Reveals Serum Markers of Tuberculosis in Advanced HIV.

Authors:  Sonya Krishnan; Artur T L Queiroz; Amita Gupta; Nikhil Gupte; Gregory P Bisson; Johnstone Kumwenda; Kogieleum Naidoo; Lerato Mohapi; Vidya Mave; Rosie Mngqibisa; Javier R Lama; Mina C Hosseinipour; Bruno B Andrade; Petros C Karakousis
Journal:  Front Immunol       Date:  2021-06-08       Impact factor: 8.786

Review 9.  Diagnostic 'omics' for active tuberculosis.

Authors:  Carolin T Haas; Jennifer K Roe; Gabriele Pollara; Meera Mehta; Mahdad Noursadeghi
Journal:  BMC Med       Date:  2016-03-23       Impact factor: 8.775

10.  High-resolution plasma metabolomics analysis to detect Mycobacterium tuberculosis-associated metabolites that distinguish active pulmonary tuberculosis in humans.

Authors:  Jeffrey M Collins; Douglas I Walker; Dean P Jones; Nestani Tukvadze; Ken H Liu; ViLinh T Tran; Karan Uppal; Jennifer K Frediani; Kirk A Easley; Neeta Shenvi; Manoj Khadka; Eric A Ortlund; Russell R Kempker; Henry M Blumberg; Thomas R Ziegler
Journal:  PLoS One       Date:  2018-10-11       Impact factor: 3.240

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