Metabolite profiles in spinal fluid predict mortality in tuberculous meningitis

Radboudumc researchers Kirsten van Abeelen, Edwin Ardiansyah, Sofiati Dian, Vinod Kumar, Reinout van Crevel and Arjan van Laarhoven used metabolomics to study cerebrospinal fluid (CSF) samples from tuberculous meningitis patients in Vietnam and Indonesia, with long-standing collaborators from Bandung and Jakarta (Indonesia), the Broad Institute (Boston) and the Oxford University Research Unit in Ho Chi Minh City (Vietnam).

Meningitis is the most severe form of tuberculosis. Damaging inflammation contributes to its poor prognosis. Corticosteroids reduce mortality, but nearly 50% of patients still die or are left disabled. The researchers hypothesized that metabolic pathways may influence disease outcome and help develop more effective host-directed therapy. They measured levels of 469 metabolites in cerebrospinal fluid obtained from 1,067 Vietnamese and Indonesian tuberculous meningitis patients with and without HIV before the start of treatment, and observed these patients for clinical outcome.

Mortality was strongly associated with ten metabolites, including three hydroxylated fatty acids with a maximum carbon length of eight. These metabolites predicted mortality, regardless of HIV status, disease severity and cerebrospinal fluid tryptophan levels, which they previously identified as an important prognostic metabolite.

The results suggests that dysregulated β-oxidation may be an important and potentially modifiable contributor to mortality in tuberculous meningitis. Follow-up studies are underway, including quantitative trait locus mapping and rare genetic variant analysis, in the same patient groups. Future intervention studies should examine whether interventions targeting cerebral metabolism or oxygenation can improve survival of this deadly disease. 

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Traditional Chinese medicine targets cholesterol metabolism for cancer treatment