Circulating miRNome of Trachemys scripta after elective gonadectomy under general anesthesia.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 07 2021
Historique:
received: 17 09 2020
accepted: 05 07 2021
entrez: 20 7 2021
pubmed: 21 7 2021
medline: 1 12 2021
Statut: epublish

Résumé

Post-surgical management is an important issue in veterinary medicine, requiring biomarkers with high sensitivity and specificity for timely and effective treatment. Emerging evidence suggests that miRNAs are promising stress- and pain-related markers. The aims were to profile the circulating miRNA signature in plasma of turtles (Trachemys scripta) and point out potential candidate biomarkers to assess the status of the animal. The plasma of female turtles underwent surgical gonadectomy were collected 24 h pre-surgery, and 2.5 h and 36 h post-surgery. The expression of miRNAs was profiled by Next Generation Sequencing and the dysregulated miRNAs were validated using RT-qPCR. The diagnostic value of miRNAs was calculated by ROC curves. The results showed that 14 miRNAs were differentially expressed over time. RT-qPCR validation highlighted that 2-miR-499-3p and miR-203-5p-out of 8 miRNAs tested were effectively modulated. The Area Under the Curve (AUC) of miR-203-5p was fair (AUC 0.7934) in discriminating pre- and 36 h post-surgery samples and poor for other time points; the AUC of miR-499-3p was excellent (AUC 0.944) in discriminating pre-surgery and 2.5 h post-surgery samples, and fair in discriminating pre-surgery and 36 h post-surgery (AUC 0.7292) and 2.5 h and 36 h post-surgery (AUC 0.7569) samples. In conclusion, we demonstrated for the first time that miRNAs profile changes in plasma of turtles underwent surgical oophorectomy and identified miR-203-5p and miR-499-3p as potential candidate biomarkers to assess animals' status. Further studies are necessary to confirm their diagnostic value and to investigate functional and mechanistic networks to improve our understanding of the biological processes.

Identifiants

pubmed: 34282201
doi: 10.1038/s41598-021-94113-8
pii: 10.1038/s41598-021-94113-8
pmc: PMC8289937
doi:

Substances chimiques

Circulating MicroRNA 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14712

Informations de copyright

© 2021. The Author(s).

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Auteurs

Edoardo Bardi (E)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.

Stefano Brizzola (S)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.

Giuliano Ravasio (G)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.

Stefano Romussi (S)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.

Paola Dall'Ara (P)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.

Valentina Zamarian (V)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy.

Maddalena Arigoni (M)

Department of Biotechnology and Health Sciences, Molecular Biotechnology Center, Università di Torino, 10126, Turin, Italy.

Raffaele Adolfo Calogero (RA)

Department of Biotechnology and Health Sciences, Molecular Biotechnology Center, Università di Torino, 10126, Turin, Italy.

Cristina Lecchi (C)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133, Milan, Italy. cristina.lecchi@unimi.it.

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