Analysis of Hashimoto's thyroiditis on fine needle aspiration samples by MALDI-Imaging.
Hashimoto thyroiditis
MALDI-TOF
Mass spectrometry-imaging
Proteomics
Journal
Biochimica et biophysica acta. Proteins and proteomics
ISSN: 1878-1454
Titre abrégé: Biochim Biophys Acta Proteins Proteom
Pays: Netherlands
ID NLM: 101731734
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
29
02
2020
revised:
04
06
2020
accepted:
27
06
2020
pubmed:
10
7
2020
medline:
15
12
2020
entrez:
10
7
2020
Statut:
ppublish
Résumé
Matrix-Assisted Laser Desorption/Ionization (MALDI)-Mass Spectrometry imaging (MSI) has been applied in various diseases aimed to biomarkers discovery. In this study diagnosis and prognosis of Hashimoto Thyroiditis (HT) in cytopathology by MALDI-MSI has been investigated. Specimens from a routine series of subjects who underwent UltraSound-guided thyroid Fine Needle Aspirations (FNAs) were used. The molecular classifier trained in a previous study was modified to include HT as a separate entity in the group of benign lesions, in the diagnostic proteomic triage of thyroid nodules. The statistical analysis confirmed the existence of signals that HT shares with hyperplastic lesions and others that are specific and characterize this subgroup. Statistically relevant HT-related peaks were included in the model. Then, the discriminatory capability of the classifier was tested in a second validation phase, showing a good agreement with cytological diagnoses. The possibility to overlap the molecular signatures of both the lymphocytes and epithelial cells components (ROIs or pixel-by-pixel analysis) confirmed the composite proteomic background of HT. These results open the way to their possible translation as alternative serum biomarkers of this autoimmune condition.
Identifiants
pubmed: 32645440
pii: S1570-9639(20)30128-X
doi: 10.1016/j.bbapap.2020.140481
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
140481Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.