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Cross-species blood transcriptional correlates of BCG-mediated protection against tuberculosis include innate and adaptive immune processes
Kate Bridges, Denis Awany, Anele Gela, Temwa-Dango Mwambene, Sherry L. Kurtz, Richard E. Baker, Karen L. Elkins, Christopher M. Sassetti, Thomas J. Scriba, Douglas A. Lauffenburger
Kate Bridges, Denis Awany, Anele Gela, Temwa-Dango Mwambene, Sherry L. Kurtz, Richard E. Baker, Karen L. Elkins, Christopher M. Sassetti, Thomas J. Scriba, Douglas A. Lauffenburger
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Research Article Immunology Infectious disease

Cross-species blood transcriptional correlates of BCG-mediated protection against tuberculosis include innate and adaptive immune processes

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Abstract

The immune mechanisms induced by the Bacillus Calmette-Guérin (BCG) vaccine, and the subset of which that mediate protection against tuberculosis (TB), remain poorly understood. This is further complicated by difficulties in verifying vaccine-induced protection in humans. Although research in animal models, namely mice and nonhuman primates (NHPs), has begun to close this knowledge gap, discrepancies in the relative importance of biological pathways across species limit the utility of animal model–derived biological insights in humans. To address these challenges, we applied a systems modeling framework, Translatable Components Regression (TransCompR), to identify human blood transcriptional variability that could predict Mycobacterium tuberculosis challenge outcomes in BCG-vaccinated NHPs. These protection-associated pathways included both innate and adaptive immune activation mechanisms, along with signaling via type I IFNs and antimycobacterial Th cytokines. We further partially validated the associations between these mechanisms and protection in humans using publicly available microarray data collected from BCG-vaccinated infants who either developed TB or remained healthy during 2 years of follow-up. Overall, our work demonstrates how species translation modeling can leverage animal studies to generate hypotheses about the mechanisms that underlie human infectious disease and vaccination outcomes, which may be difficult or impossible to ascertain using human data alone.

Authors

Kate Bridges, Denis Awany, Anele Gela, Temwa-Dango Mwambene, Sherry L. Kurtz, Richard E. Baker, Karen L. Elkins, Christopher M. Sassetti, Thomas J. Scriba, Douglas A. Lauffenburger

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Figure 4

Protection-associated hPCs are enriched for innate and adaptive immune processes and pathways.

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Protection-associated hPCs are enriched for innate and adaptive immune p...
(A) Bar graph demonstrating the total number of significantly enriched (Padj < 0.1) Reactome terms along hPC5 and hPC12. (B) Heatmap showing enrichment scores for select Reactome terms across hPC5 and hPC12. *Padj < 0.1. P values were estimated using an adaptive multilevel split Monte-Carlo scheme implemented in the fgsea package in R. (C) Bar graph as in A, with terms now separated into significant (black) or nonsignificant (white) categories by how their leading-edge gene sets distinguished NHP samples by challenge outcome (P values obtained by unpaired t test). hPC12-enriched terms were evaluated for their ability to separate NHP samples collected 2 days after vaccination by their challenge outcome, while hPC5-enriched terms were evaluated using NHP samples collected 2 weeks after vaccination. (D) Normalized enrichment scores (NESs) calculated using single-sample gene set enrichment analysis (ssGSEA) for each sample in the NHP dose cohort. Gene sets for each pathway/process were derived from the Reactome Pathway Database. Sample scores were lumped by post–M. tuberculosis challenge protection outcome for visualization. Data are presented as mean ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001 by unpaired t test with Holm-Šídák’s multiple comparison correction, as calculated in GraphPad.

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ISSN 2379-3708

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