Nature Communications (Mar 2022)

Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics

  • P. S. Ramachandran,
  • A. Ramesh,
  • F. V. Creswell,
  • A. Wapniarski,
  • R. Narendra,
  • C. M. Quinn,
  • E. B. Tran,
  • M. K. Rutakingirwa,
  • A. S. Bangdiwala,
  • E. Kagimu,
  • K. T. Kandole,
  • K. C. Zorn,
  • L. Tugume,
  • J. Kasibante,
  • K. Ssebambulidde,
  • M. Okirwoth,
  • N. C. Bahr,
  • A. Musubire,
  • C. P. Skipper,
  • C. Fouassier,
  • A. Lyden,
  • P. Serpa,
  • G. Castaneda,
  • S. Caldera,
  • V. Ahyong,
  • J. L. DeRisi,
  • C. Langelier,
  • E. D. Crawford,
  • D. R. Boulware,
  • D. B. Meya,
  • M. R. Wilson

DOI
https://doi.org/10.1038/s41467-022-29353-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

Read online

Tuberculous meningitis is difficult to differentiate from meningitis caused by other pathogens. Here, the authors combine metagenomics-based pathogen detection in cerebrospinal fluid with a host gene expression-based machine learning classifier for diagnosis.