Tuberculous meningitis (TBM) has a very high mortality, especially in HIV-infected patients, and there is an urgent need to improve treatment. Intracerebral inflammation has long been recognized as an important determinant of TBM outcome and adjunctive anti-inflammatory corticosteroid treatment have been shown to prevent death, but not disability, in HIV-uninfected people with TBM. Corticosteroids represent the only host directed therapy of proven benefit in tuberculosis treatment, yet their effect is modest, their adverse effects substantial, and the mechanism by which they reduce mortality is unknown. Furthermore, there is evidence for heterogeneity in their effect, dependent upon inter-individual variation in the intracerebral inflammatory response; and whether those with HIV-infection benefit from corticosteroids remains uncertain. Cellular metabolism is critical for the function of immune cells. We recently found that high concentrations of cerebrospinal fluid (CSF) tryptophan strongly predicted mortality in Indonesian TBM patients. Using genome- wide SNP analysis we identified 11 quantitative trait loci that were associated with both CSF tryptophan concentrations and survival in a separate patient cohort. Many questions remain. How is tryptophan metabolism altered during TBM? How does it correlate with inflammation, immunopathology, and response to corticosteroids? How is tryptophan metabolism genetically regulated? Lastly, and very importantly, what is the effect of HIV co-infection on tryptophan metabolism before and during TBM treatment? Our aim is to address these questions by integrating data and specimens from large studies in Vietnam and Indonesia with state-of-the-art omics technology and systems biology in the Netherlands and USA. Based on our previous study findings ULTIMATE?s first aim is to define tryptophan metabolism in 1500 TBM patients and 300 controls with other brain infections from previous studies in Indonesia and Vietnam, using state-of-the-art LC-MS platforms.
Our second aim i s to define the genetic regulation of tryptophan metabolism in TBM with a combination of genome-wide SNP-typing of DNA from the same patient group and whole genome sequencing of a subset (n=200).
Our third aim i s to identify biomarkers predicting the effect of corticosteroids, and discover potential new targets for host-directed therapy by integrating clinical and neuroradiological data with CSF transcriptomics, metabolomics, and host genotyping of 600 patients randomized to corticosteroids or placebo. We will address these 3 aims in HIV-infected and uninfected patients because HIV-associated TBM has higher mortality and different immunopathology. Our strong preliminary data, unique access to two large bioarchives and on-going randomized controlled trials in TBM, and expertise in integration of large-scale clinical and multi-layer ?omics? data promises to provide a step-change in understanding TBM pathogenesis and discovery of new targets for future host-directed therapies.

Public Health Relevance

Tuberculous meningitis (TBM) is the most lethal form of disease caused by Mycobacterium tuberculosis and is now one of the commonest causes of meningitis worldwide, especially in those co-infected with HIV. ULTIMATE aims to better understand the biological pathways that determine death or survival from TBM and how they might be manipulated therapeutically. New host directed therapeutic strategies against TBM will benefit future patients with this life-threatening infection, but they are also likely to have relevance to all forms of tuberculosis.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
1R01AI145781-01
Application #
9775071
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Frank, Daniel J
Project Start
2019-04-01
Project End
2024-03-31
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Radboud University Nijmegen Medical Center
Department
Type
DUNS #
410241392
City
Nijmegen
State
Country
Netherlands
Zip Code
6525GA