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A rapid time-resolved host gene expression signature predicts responses to antibiotic treatment in neonatal bacterial sepsis

Parkinson, EC; Watkins, WJ; Edkins, S; McLaren, JE; Clements, MN; Andrews, R; Liberatore, F; Lutsar, I; Turner, MA; Roilides, E; et al. Parkinson, EC; Watkins, WJ; Edkins, S; McLaren, JE; Clements, MN; Andrews, R; Liberatore, F; Lutsar, I; Turner, MA; Roilides, E; Heath, PT; Sharland, M; Hill, LF; Ghazal, P; Huertas, TM; Khan, U; Ilmoja, M-L; Hallik, M; Metsvaht, T; Kalamees, R; Karachristou, K; Vontzalidis, A; Anatolitou, F; Petropoulou, C; Siahanidou, T; Nikaina, E; Papaevangelou, V; Triantafyllidou, P; Sarafidis, K; Kontou, A; Nika, A; Tataropoulou, K; Mitsiakos, G; Iosifidis, E; Gialamprinou, D; Martinelli, S; Ilardi, L; Baraldi, E; Bonadies, L; Del Vecchio, A; Franco, C; Dotta, A; De Luca, M; Tzialla, C; Alonso-Diaz, C; de Alba Romero, C; de la Cruz, J; Catalina Morales-Betancourt, P; Alarcon Allen, A; Reyné, M; Mahaveer, A; Booth, N; Bilardi, D; Donà, D; Rawcliffe, L; Bafadal, B; Roberts, D; Silvestri, A; Manfredi, C; Felisi, M; Gandini, P (2025) A rapid time-resolved host gene expression signature predicts responses to antibiotic treatment in neonatal bacterial sepsis. Science Translational Medicine, 17 (826). eadt1938. ISSN 1946-6234 https://doi.org/10.1126/scitranslmed.adt1938
SGUL Authors: Heath, Paul Trafford Hill, Louise Frances

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Abstract

Sepsis is a leading cause of mortality and morbidity in neonates yet remains difficult to diagnose. This leads to widespread empiric antibiotic therapy, which can facilitate the development of antimicrobial resistance. How the dysregulated host response to infection and sepsis evolves after antibiotic treatment is poorly understood. Temporal gene expression in neonates with microbiologically confirmed sepsis, treated with the antibiotic vancomycin as part of a randomized controlled trial, was profiled to reveal a treatment-responsive gene signature. The signature exhibited a rapid reversal of the septic state, observable within 24 hours of the initiation of therapy. Unexpectedly, response rates associated with the adaptive immune system were among the fastest, and these changes were reproduced in both pediatric and adult patients with sepsis, indicating conservation and reversibility of sepsis signatures across the life course. We demonstrated how these treatment-responsive genes could be translated into a prognostic clinical measure, exhibiting strong agreement with clinical assessments. Network modeling of sepsis-responsive genes identified a signature associated with treatment comprising an early transient elevation of antimicrobial defensive genes, suggesting an impaired bactericidal response in neonatal sepsis. These findings suggest that the host response is regulated in sepsis and offer insights into early prognostic approaches for reducing antibiotic overuse.

Item Type: Article
Additional Information: Copyright © 2025 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. https://www.sciencemag.org/about/science-licenses-journal-article-reuse This is an article distributed under the terms of the Science Journals Default License (https://www.science.org/content/page/science-licenses-journal-article-reuse).
Keywords: Humans, Anti-Bacterial Agents, Infant, Newborn, Neonatal Sepsis, Gene Expression Profiling, Vancomycin, Adult, Male, Sepsis, Time Factors, Female, Transcriptome
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Science Translational Medicine
ISSN: 1946-6234
Language: en
Media of Output: Print-Electronic
Related URLs:
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
602041Seventh Framework Programmehttp://dx.doi.org/10.13039/501100004963
UNSPECIFIEDWelsh GovernmentUNSPECIFIED
UNSPECIFIEDEuropean Regional Development Fundhttps://doi.org/10.13039/501100008530
PubMed ID: 41296831
Dates:
Date Event
2025-11-26 Published
2025-10-17 Accepted
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/118113
Publisher's version: https://doi.org/10.1126/scitranslmed.adt1938

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