Investigation of serum proteome homeostasis during radiation therapy by a quantitative proteomics approach.


Journal

Bioscience reports
ISSN: 1573-4935
Titre abrégé: Biosci Rep
Pays: England
ID NLM: 8102797

Informations de publication

Date de publication:
31 07 2019
Historique:
received: 07 12 2018
revised: 11 06 2019
accepted: 08 07 2019
pubmed: 14 7 2019
medline: 19 8 2020
entrez: 14 7 2019
Statut: epublish

Résumé

The purpose of the present study is to analyze the serum proteome of patients receiving Radiation Therapy (RT) at different stages of their treatment to discovery candidate biomarkers of the radiation-induced skin lesions and the molecular pathways underlying the radiation signatures. Six stages of RT treatment were monitored from patients treated because of brain cancer: before starting the treatment, during the treatment (four time points), and at 4 weeks from the last RT dose. Serum samples were analyzed by a proteomics approach based on the Data Independent Acquisition (DIA) mass spectrometry (MS). RT induced clear changes in the expression levels of 36 serum proteins. Among these, 25 proteins were down- or up-regulated significantly before the emergence of skin lesions. Some of these were still deregulated after the completion of the treatment. Few days before the appearance of the skin lesions, the levels of some proteins involved in the wound healing processes were down-regulated. The pathway analysis indicated that after partial body irradiation, the expression levels of proteins functionally involved in the acute inflammatory and immune response, lipoprotein process and blood coagulation, were deregulated.

Identifiants

pubmed: 31300526
pii: BSR20182319
doi: 10.1042/BSR20182319
pmc: PMC6663990
pii:
doi:

Substances chimiques

Blood Proteins 0
Proteome 0

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2019 The Author(s).

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Auteurs

Amira Ouerhani (A)

Tunis El Manar University, High Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, 9th Dr. ZouhairEssafi Street, Tunis 1006, Tunisia.

Giovanni Chiappetta (G)

Laboratory of Proteomics and Biological Mass Spectrometry, USR 3149 CNRS - ESPCI Paris, PSL University, 10 rue Vauquelin, Paris cedex 05 75231, France giovanni.chiappetta@espci.fr.

Oussema Souiai (O)

Laboratory of BioInformatics, bioMathematics and bioStatistics (BIMS) Institute Pasteur of Tunis, Tunis, Tunisia.

Halima Mahjoubi (H)

Tunis El Manar University, High Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, 9th Dr. ZouhairEssafi Street, Tunis 1006, Tunisia.

Joelle Vinh (J)

Laboratory of Proteomics and Biological Mass Spectrometry, USR 3149 CNRS - ESPCI Paris, PSL University, 10 rue Vauquelin, Paris cedex 05 75231, France.

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Classifications MeSH