1. Whole blood transcriptional profiles and the pathogenesis of tuberculous meningitis
- Author
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Hoang Thanh Hai, Le Thanh Hoang Nhat, Trinh Thi Bich Tram, Do Dinh Vinh, Artika P Nath, Joseph Donovan, Nguyen Thi Anh Thu, Dang Van Thanh, Nguyen Duc Bang, Dang Thi Minh Ha, Nguyen Hoan Phu, Ho Dang Trung Nghia, Le Hong Van, Michael Inouye, Guy E Thwaites, and Nguyen Thuy Thuong Thuong
- Subjects
tuberculous meningitis ,mortality ,pathogenesis ,prognostic ,whole blood RNA sequencing ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Mortality and morbidity from tuberculous meningitis (TBM) are common, primarily due to inflammatory response to Mycobacterium tuberculosis infection, yet the underlying mechanisms remain poorly understood. We aimed to uncover genes and pathways associated with TBM pathogenesis and mortality, and determine the best predictors of death, utilizing whole-blood RNA sequencing from 281 Vietnamese adults with TBM, 295 pulmonary tuberculosis (PTB), and 30 healthy controls. Through weighted gene co-expression network analysis, we identified hub genes and pathways linked to TBM severity and mortality, with a consensus analysis revealing distinct patterns between HIV-positive and HIV-negative individuals. We employed multivariate elastic-net Cox regression to select candidate predictors of death, then logistic regression and internal bootstrap validation to choose best predictors. Increased neutrophil activation and decreased T and B cell activation pathways were associated with TBM mortality. Among HIV-positive individuals, mortality associated with increased angiogenesis, while HIV-negative individuals exhibited elevated TNF signaling and impaired extracellular matrix organization. Four hub genes—MCEMP1, NELL2, ZNF354C, and CD4—were strong TBM mortality predictors. These findings indicate that TBM induces a systemic inflammatory response similar to PTB, highlighting critical genes and pathways related to death, offering insights for potential therapeutic targets alongside a novel four-gene biomarker for predicting outcomes.
- Published
- 2024
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