Application of Cerebrospinal Fluid Host Protein Biosignatures in the Diagnosis of Tuberculous Meningitis in Children from a High Burden Setting.
Manyelo. Charles M CM; Solomons. Regan S RS; Snyders. Candice I CI; Manngo. Portia M PM; Mutavhatsindi. Hygon H; Kriel. Belinda B; Stanley. Kim K; Walzl. Gerhard G; Chegou. Novel N NN
Key Findings
- A previously identified three‑protein signature (VEGF, IL‑13, LL‑37) correctly identified most TB meningitis cases but had low specificity.
- Replacing IL‑13 and LL‑37 with IFN‑γ and MPO raised both sensitivity (up to 91%) and specificity (up to 100%).
- An alternative four‑protein signature (sICAM‑1, MPO, CXCL8, IFN‑γ) also achieved very high diagnostic accuracy (AUC = 0.97).
Practical Outcomes
- For biohackers or DIY health enthusiasts, this study offers no direct guidance on using LL‑37 for health optimization. It is primarily a diagnostic research effort that could eventually lead to better bedside tests for TB meningitis, but it does not suggest any actionable supplement or protocol involving LL‑37.
Summary
Researchers tested a set of proteins in spinal fluid to see if they could reliably tell whether kids with meningitis had tuberculosis. They found that swapping some proteins (including LL‑37) for others improved the test’s accuracy, but the work is about diagnosing disease, not about using LL‑37 as a supplement or therapy.
Abstract
The diagnosis of tuberculous meningitis (TBM) especially in children is challenging. New tests are urgently needed for the diagnosis of the disease, especially in resource-limited settings. We collected cerebrospinal fluid (CSF) samples from children presenting with symptoms requiring investigation for meningitis at a tertiary hospital in Cape Town, South Africa. Children were later classified as TBM or no TBM using published case definitions. Using a multiplex platform, we investigated the concentrations of biomarkers comprising a previously established 3-marker biosignature (VEGF, IL-13, and LL-37) and other potentially useful host biomarkers as diagnostic candidates for TBM. Out of 47 children, age, 3 months to 13 years, 23 were diagnosed with TBM and six (16%) were HIV-infected. We validated the previously identified CSF biosignature (sensitivity of 95.7% (95% CI, 79.0-99.2%) and specificity of 37.5% (95% CI, 21.2-57.3%)). However, substitution of IL-13 and LL-37 with IFN-<i>γ</i> and MPO, respectively, resulted in improved accuracy (area under the ROC curve (AUC) = 0.97, 95% CI, 0.92-1.00, up to 91.3% (21/23) sensitivity and up to 100% (24/24) specificity). An alternative four-marker biosignature (sICAM-1, MPO, CXCL8, and IFN-<i>γ</i>) also showed potential, with an AUC of 0.97. We validated a previously identified CSF biosignature and showed that refinement of this biosignature by incorporation of other biomarkers diagnosed TBM with high accuracy. Incorporation of these biomarkers into a point-of-care or bedside diagnostic test platform may result in the improved management of TBM in children.
Study Information
pubmed
2019
2019-04-16T00:00:00.000Z
10.1155/2019/7582948
30
42