Literature DB >> 29395996

Cerebral tryptophan metabolism and outcome of tuberculous meningitis: an observational cohort study.

Arjan van Laarhoven1, Sofiati Dian2, Raúl Aguirre-Gamboa3, Julian Avila-Pacheco4, Isis Ricaño-Ponce3, Carolien Ruesen5, Jessi Annisa6, Valerie A C M Koeken5, Lidya Chaidir1, Yang Li3, Tri Hanggono Achmad7, Leo A B Joosten5, Richard A Notebaart8, Rovina Ruslami9, Mihai G Netea10, Marcel M Verbeek11, Bachti Alisjahbana6, Vinod Kumar3, Clary B Clish4, A Rizal Ganiem12, Reinout van Crevel13.   

Abstract

BACKGROUND: Immunopathology contributes to the high mortality of tuberculous meningitis, but the biological pathways involved are mostly unknown. We aimed to compare cerebrospinal fluid (CSF) and serum metabolomes of patients with tuberculous meningitis with that of controls without tuberculous meningitis, and assess the link between metabolite concentrations and mortality.
METHODS: In this observational cohort study at the Hasan Sadikin Hospital (Bandung, Indonesia) we measured 425 metabolites using liquid chromatography-mass spectrometry in CSF and serum from 33 HIV-negative Indonesian patients with confirmed or probable tuberculous meningitis and 22 control participants with complete clinical data between March 12, 2009, and Oct 27, 2013. Associations of metabolite concentrations with survival were validated in a second cohort of 101 patients from the same centre. Genome-wide single nucleotide polymorphism typing was used to identify tryptophan quantitative trait loci, which were used for survival analysis in a third cohort of 285 patients.
FINDINGS: Concentrations of 250 (70%) of 351 metabolites detected in CSF were higher in patients with tuberculous meningitis than in controls, especially in those who died during follow-up. Only five (1%) of the 390 metobolites detected in serum differed between patients with tuberculous meningitis and controls. CSF tryptophan concentrations showed a pattern different from most other CSF metabolites; concentrations were lower in patients who survived compared with patients who died (9-times) and to controls (31-times). The association of low CSF tryptophan with patient survival was confirmed in the validation cohort (hazard ratio 0·73; 95% CI 0·64-0·83; p<0·0001; per each halving). 11 genetic loci predictive for CSF tryptophan concentrations in tuberculous meningitis were identified (p<0·00001). These quantitative trait loci predicted survival in a third cohort of 285 HIV-negative patients in a prognostic index including age and sex, also after correction for possible confounders (p=0·0083).
INTERPRETATION: Cerebral tryptophan metabolism, which is known to affect Mycobacterium tuberculosis growth and CNS inflammation, is important for the outcome of tuberculous meningitis. CSF tryptophan concentrations in tuberculous meningitis are under strong genetic influence, probably contributing to the variable outcomes of tuberculous meningitis. Interventions targeting tryptophan metabolism could improve outcomes of tuberculous meningitis. FUNDING: Royal Dutch Academy of Arts and Sciences; Netherlands Foundation for Scientific Research; Radboud University; National Academy of Sciences; Ministry of Research, Technology, and Higher Education, Indonesia; European Research Council; and PEER-Health.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29395996     DOI: 10.1016/S1473-3099(18)30053-7

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  26 in total

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Journal:  J Infect Dis       Date:  2019-04-19       Impact factor: 5.226

3.  Tryptophan catabolism reflects disease activity in human tuberculosis.

Authors:  Jeffrey M Collins; Amnah Siddiqa; Dean P Jones; Ken Liu; Russell R Kempker; Azhar Nizam; N Sarita Shah; Nazir Ismail; Samuel G Ouma; Nestani Tukvadze; Shuzhao Li; Cheryl L Day; Jyothi Rengarajan; James Cm Brust; Neel R Gandhi; Joel D Ernst; Henry M Blumberg; Thomas R Ziegler
Journal:  JCI Insight       Date:  2020-05-21

Review 4.  Advanced imaging tools for childhood tuberculosis: potential applications and research needs.

Authors:  Sanjay K Jain; Savvas Andronikou; Pierre Goussard; Sameer Antani; David Gomez-Pastrana; Christophe Delacourt; Jeffrey R Starke; Alvaro A Ordonez; Patrick Jean-Philippe; Renee S Browning; Carlos M Perez-Velez
Journal:  Lancet Infect Dis       Date:  2020-06-23       Impact factor: 25.071

5.  Long term outcomes of patients with tuberculous meningitis: The impact of drug resistance.

Authors:  Emily E Evans; Teona Avaliani; Mariam Gujabidze; Tinatin Bakuradze; Maia Kipiani; Shorena Sabanadze; Alison G C Smith; Zaza Avaliani; Jeffrey M Collins; Russell R Kempker
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6.  Identification of Discriminating Metabolic Pathways and Metabolites in Human PBMCs Stimulated by Various Pathogenic Agents.

Authors:  Xiang Zhang; Adil Mardinoglu; Leo A B Joosten; Jan A Kuivenhoven; Yang Li; Mihai G Netea; Albert K Groen
Journal:  Front Physiol       Date:  2018-02-27       Impact factor: 4.566

7.  High neopterin and IP-10 levels in cerebrospinal fluid are associated with neurotoxic tryptophan metabolites in acute central nervous system infections.

Authors:  Else Quist-Paulsen; Pål Aukrust; Anne-Marte Bakken Kran; Oona Dunlop; Vidar Ormaasen; Birgitte Stiksrud; Øivind Midttun; Thor Ueland; Per Magne Ueland; Tom Eirik Mollnes; Anne Ma Dyrhol-Riise
Journal:  J Neuroinflammation       Date:  2018-11-23       Impact factor: 8.322

Review 8.  The pathogenesis of tuberculous meningitis.

Authors:  Angharad Grace Davis; Ursula Karin Rohlwink; Alizé Proust; Anthony A Figaji; Robert J Wilkinson
Journal:  J Leukoc Biol       Date:  2019-01-15       Impact factor: 4.962

Review 9.  Abnormal Tryptophan Metabolism in HIV and Mycobacterium tuberculosis Infection.

Authors:  Xiaolei Wang; Smriti Mehra; Deepak Kaushal; Ronald S Veazey; Huanbin Xu
Journal:  Front Microbiol       Date:  2021-06-28       Impact factor: 5.640

10.  Genetic influence of Toll-like receptors on non-HIV cryptococcal meningitis: An observational cohort study.

Authors:  Ying-Kui Jiang; Ji-Qin Wu; Hua-Zhen Zhao; Xuan Wang; Rui-Ying Wang; Ling-Hong Zhou; Ching-Wan Yip; Li-Ping Huang; Jia-Hui Cheng; Ya-Hong Chen; Hua Li; Li-Ping Zhu; Xin-Hua Weng
Journal:  EBioMedicine       Date:  2018-10-23       Impact factor: 8.143

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