Comparison of Noninvasive Imagery Methods to Observe Healthy and Degenerated Olfactory Epithelium in Mice for the Early Diagnosis of Neurodegenerative Diseases.

Alzheimer disease epithelium olfactory medical imaging neurodegenerative diseases optical biopsy

Journal

Frontiers in neuroanatomy
ISSN: 1662-5129
Titre abrégé: Front Neuroanat
Pays: Switzerland
ID NLM: 101477943

Informations de publication

Date de publication:
2020
Historique:
received: 05 12 2019
accepted: 28 05 2020
entrez: 8 8 2020
pubmed: 8 8 2020
medline: 8 8 2020
Statut: epublish

Résumé

Olfactory dysfunction could be an early and reliable indicator for the diagnosis of neurodegenerative disorders such as Alzheimer and Parkinson's diseases. In this paper, we compare the potential of different noninvasive medical imaging modalities (optical coherence tomography, confocal microscopy, and fluorescence endomicroscopy) to distinguish how the olfactory epithelium, both at the cellular and the structural levels, is altered. Investigations were carried out on three experimental groups: two pathological groups (mice models with deliberately altered olfactory epithelium and Alzheimer's disease transgenic mice models) were compared with healthy mice models. As histological staining, the three tested noninvasive imaging tools demonstrated the general tubular organization of the olfactory epithelium on healthy mice. Contrary to OCT, confocal microscopy, and endomicroscopy allowed visualizing the inner structure of olfactory epithelium as well as its morphological or functional changes on pathological models, alterations classically observed with histological assessment. The results could lead to relevant development of imaging tools for noninvasive and early diagnosis of neurodegenerative diseases through the

Identifiants

pubmed: 32760253
doi: 10.3389/fnana.2020.00034
pmc: PMC7371997
doi:

Types de publication

Journal Article

Langues

eng

Pagination

34

Informations de copyright

Copyright © 2020 Etievant, Monnin, Lihoreau, Tamadazte, Rougeot, Magnin, Tavernier, Pazart and Haffen.

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Auteurs

Adeline Etievant (A)

Laboratoire de Neurosciences Intégratives et Cliniques, Université Bourgogne-Franche-Comté, Université de Franche-Comté, Besançon, France.

Julie Monnin (J)

Laboratoire de Neurosciences Intégratives et Cliniques, Université Bourgogne-Franche-Comté, Université de Franche-Comté, Besançon, France.
CHU Besançon, INSERM, CIC 1431, Centre d'Investigation Clinique, Besançon, France.

Thomas Lihoreau (T)

CHU Besançon, INSERM, CIC 1431, Centre d'Investigation Clinique, Besançon, France.

Brahim Tamadazte (B)

FEMTO-ST, Dép. AS2M, CNRS, Université Bourgogne Franche-Comté, 24 rue Savary, Besançon, France.
Institut des Systémes Intelligents et de Robotique, Sorbonne Université, CNRS, UMR 7222, Paris, France.

Patrick Rougeot (P)

FEMTO-ST, Dép. AS2M, CNRS, Université Bourgogne Franche-Comté, 24 rue Savary, Besançon, France.

Eloi Magnin (E)

Laboratoire de Neurosciences Intégratives et Cliniques, Université Bourgogne-Franche-Comté, Université de Franche-Comté, Besançon, France.

Laurent Tavernier (L)

Service d'oto-Rhino-Laryngologie et Chirurgie Cervico-Faciale, CHU Besançon, Université Bourgogne-Franche-Comté, Besançon, France.

Lionel Pazart (L)

Laboratoire de Neurosciences Intégratives et Cliniques, Université Bourgogne-Franche-Comté, Université de Franche-Comté, Besançon, France.
CHU Besançon, INSERM, CIC 1431, Centre d'Investigation Clinique, Besançon, France.

Emmanuel Haffen (E)

Laboratoire de Neurosciences Intégratives et Cliniques, Université Bourgogne-Franche-Comté, Université de Franche-Comté, Besançon, France.
CHU Besançon, INSERM, CIC 1431, Centre d'Investigation Clinique, Besançon, France.

Classifications MeSH