Document Type

Journal Article

Publication Title

Frontiers in Immunology

Volume

13

PubMed ID

35990635

Publisher

Frontiers

School

School of Medical and Health Sciences / Centre for Integrative Metabolomics and Computational Biology

RAS ID

45395

Funders

National Health and Medical Research Council

Grant Number

NHMRC Number : 1129996

Grant Link

http://purl.org/au-research/grants/nhmrc/1129996

Comments

Read, J., Serralha, M., Mok, D., Holt, B. J., Cruickshank, M. N., Karpievitch, Y. V., ... & Bosco, A. (2022). Lipopolysaccharide-induced interferon response networks at birth are predictive of severe viral lower respiratory infections in the first year of life. Frontiers in immunology, 13, Article 876654. https://doi.org/10.3389/fimmu.2022.876654

Abstract

Appropriate innate immune function is essential to limit pathogenesis and severity of severe lower respiratory infections (sLRI) during infancy, a leading cause of hospitalization and risk factor for subsequent asthma in this age group. Employing a systems biology approach to analysis of multi-omic profiles generated from a high-risk cohort (n = 50), we found that the intensity of activation of an LPS-induced interferon gene network at birth was predictive of sLRI risk in infancy (AUC = 0.724). Connectivity patterns within this network were stronger among susceptible individuals, and a systems biology approach identified IRF1 as a putative master regulator of this response. These findings were specific to the LPS-induced interferon response and were not observed following activation of viral nucleic acid sensing pathways. Comparison of responses at birth versus age 5 demonstrated that LPS-induced interferon responses but not responses triggered by viral nucleic acid sensing pathways may be subject to strong developmental regulation. These data suggest that the risk of sLRI in early life is in part already determined at birth, and additionally that the developmental status of LPS-induced interferon responses may be a key determinant of susceptibility. Our findings provide a rationale for the identification of at-risk infants for early intervention aimed at sLRI prevention and identifies targets which may be relevant for drug development.

DOI

10.3389/fimmu.2022.876654

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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