학술논문
Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics
Document Type
article
Author
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
Source
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
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.