Differential plasma cytokine variation following X-ray or proton brain irradiation using machine-learning approaches.

Brain irradiation Cytokine Inflammation Irradiation cérébrale Mouse model Proton radiation Radiation protonique

Journal

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
ISSN: 1769-6658
Titre abrégé: Cancer Radiother
Pays: France
ID NLM: 9711272

Informations de publication

Date de publication:
21 Sep 2024
Historique:
received: 29 03 2024
accepted: 19 08 2024
medline: 23 9 2024
pubmed: 23 9 2024
entrez: 22 9 2024
Statut: aheadofprint

Résumé

X-ray and proton irradiation have been reported to induce distinct modifications in cytokine expression in vitro and in vivo, suggesting a dissimilar inflammatory response between X-rays and protons. We aimed to investigate the differences in cytokine profiles early following fractionated brain irradiation with X-rays or protons and their relationship with leukocyte subpopulations in rodents. Our study utilized data from 80 tumor-free mice subjected to X-ray or proton brain irradiation in four fractions of 2.5Gy. Sixteen non-irradiated mice were used as the controls. Blood was collected 12h postirradiation to examine the profile of 13 cytokines. Correlation analysis, principal component analysis (PCA), and tree-based modeling were used to investigate the relationship between cytokine levels and leukocyte subpopulation variations following irradiation in the blood. Regardless of the irradiation type, brain irradiation resulted in a notable elevation in the plasma levels of IFN-γ and MCP-1. The use of either X-ray or proton beam had differential effect on plasma cytokine levels following brain irradiation. Specifically, X-ray irradiation was associated with significantly increased plasma levels of IFN-β, IL-12p70, and IL-23, along with a decreased level of IL-1α, in comparison to proton irradiation. Correlation analysis revealed distinct cytokine regulatory patterns between X-ray and proton brain irradiation. PCA highlighted the association of MCP-1, IL-6, TNF-α, IL-17A, and IFN-γ with neutrophils, monocytes, and naïve T-cells following X-ray irradiation. TNF-α and IL-23 levels correlated with naïve CD4+-cells following proton irradiation. Tree-based models demonstrated that high TNF-α level resulted in an increase in naïve T-cells, neutrophils, and monocytes, whereas low IL-6 level was associated with decreases in these cell counts. Our findings revealed distinct inflammatory responses induced by X-ray irradiation in contrast to proton brain irradiation, as demonstrated by the differential regulation of cytokines in the bloodstream. Moreover, the study highlighted the association between specific cytokine levels and various leukocyte subpopulations. Further investigation is essential to accurately determine the impact of proton and X-ray brain irradiation on the inflammatory response and the efficacy of radiotherapy treatment.

Identifiants

pubmed: 39307604
pii: S1278-3218(24)00127-6
doi: 10.1016/j.canrad.2024.08.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

Auteurs

Thao-Nguyen Pham (TN)

Université de Caen Normandie, CNRS, Normandie Université, ISTCT UMR6030, GIP CYCERON, Caen, France; Laboratoire de physique corpusculaire, UMR6534 IN2P3/EnsiCaen, Caen, France.

Julie Coupey (J)

Université de Caen Normandie, CNRS, Normandie Université, ISTCT UMR6030, GIP CYCERON, Caen, France.

Viktoriia Ivanova (V)

Université de Caen Normandie, CNRS, Normandie Université, ISTCT UMR6030, GIP CYCERON, Caen, France.

Juliette Thariat (J)

Laboratoire de physique corpusculaire, UMR6534 IN2P3/EnsiCaen, Caen, France; Department of Radiation Oncology, Centre François-Baclesse, Caen, France. Electronic address: jthariat@gmail.com.

Samuel Valable (S)

Université de Caen Normandie, CNRS, Normandie Université, ISTCT UMR6030, GIP CYCERON, Caen, France. Electronic address: samuel.valable@cnrs.fr.

Classifications MeSH