Cytokine Levels in Saliva Are Associated with Salivary Gland Fibrosis and Hyposalivation in Mice after Fractionated Radiotherapy of the Head and Neck

Author:

Zlygosteva Olga1ORCID,Juvkam Inga Solgård2ORCID,Aass Hans Christian D.3,Galtung Hilde K.2,Søland Tine M.24,Malinen Eirik15,Edin Nina F. J.1ORCID

Affiliation:

1. Department of Physics, University of Oslo, 0371 Oslo, Norway

2. Institute of Oral Biology, University of Oslo, 0372 Oslo, Norway

3. The Blood Cell Research Group, Department of Medical Biochemistry, Oslo University Hospital, 0450 Oslo, Norway

4. Department of Pathology, Oslo University Hospital, 0372 Oslo, Norway

5. Department of Radiation Biology, Oslo University Hospital, 0379 Oslo, Norway

Abstract

Cytokines are mediators of inflammation that could lead to fibrosis. The aim was to monitor cytokine levels in saliva and serum after locally fractionated radiotherapy of the head and neck in mice and investigate associations with salivary gland fibrosis and hyposalivation. C57BL/6 mice were randomized to sham or X-ray irradiation of 66 Gy in 10 fractions over 5 days. Blood and saliva were collected on days −7, 5, 35, 80, and 105 following cytokine analysis. The harvested submandibular salivary gland was assessed for the presence of fibrosis. Decision tree regression analysis was used to investigate whether cytokine levels could predict late endpoints in terms of hyposalivation or fibrosis. Significant formation of fibrosis in gland tissue and reduced saliva production was found after irradiation. The pro-inflammatory cytokines IL-1α, TNF, TIMP1, G-CSF, KC, and MIP-1α showed increased levels in saliva in irradiated mice and a strong correlation with late endpoints. The decision tree analysis largely separated controls from irradiated animals, with IL-1α being the strongest predictor. Pro-inflammatory cytokines in saliva, but not in serum, were associated with late endpoints. This indicates that cytokine expression in saliva is a good biomarker for local salivary gland damage with IL-1α as the strongest single predictor.

Funder

UiO: Life Science at the University of Oslo

South-Eastern Norway Regional Health Authority

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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