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Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression

BACKGROUND: Currently no methods are available to predict the clinical outcome of individual horses with equine sarcoid (ES) disease. OBJECTIVE: To investigate if whole blood microRNA (miRNA) profiles can predict the long‐term development of ES tumors. ANIMALS: Five horses with regression and 5 with...

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Autores principales: Unger, Lucia, Jagannathan, Vidhya, Pacholewska, Alicja, Leeb, Tosso, Gerber, Vinzenz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335546/
https://www.ncbi.nlm.nih.gov/pubmed/30506726
http://dx.doi.org/10.1111/jvim.15375
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author Unger, Lucia
Jagannathan, Vidhya
Pacholewska, Alicja
Leeb, Tosso
Gerber, Vinzenz
author_facet Unger, Lucia
Jagannathan, Vidhya
Pacholewska, Alicja
Leeb, Tosso
Gerber, Vinzenz
author_sort Unger, Lucia
collection PubMed
description BACKGROUND: Currently no methods are available to predict the clinical outcome of individual horses with equine sarcoid (ES) disease. OBJECTIVE: To investigate if whole blood microRNA (miRNA) profiles can predict the long‐term development of ES tumors. ANIMALS: Five horses with regression and 5 with progression of ES lesions monitored over 5‐7 years and 5 control horses free of ES for at least 5 years. METHODS: For this cohort study, RNA extracted from whole blood samples from the regression, progression, and control groups was used for high throughput sequencing. Known and novel miRNAs were identified using miRDeep2 and differential expression analysis was carried out by the DESeq2 algorithm. Target gene and pathway prediction as well as enrichment and network analyses were conducted using TarBase, mirPath, and metaCore from GeneGo. RESULTS: Fourteen miRNAs were differentially expressed between regression and progression groups after accounting for the control condition: 4 miRNAs (28.6%) were upregulated and 10 miRNAs (71.4%) were downregulated with >2‐fold change. Seven of the 10 downregulated miRNAs are encoded in an miRNA cluster on equine chromosome 24, homologous to the well‐known 14q32 cluster in humans. Their target genes show enrichment for pathways involved in viral carcinogenesis. CONCLUSIONS AND CLINICAL IMPORTANCE: Whole blood miRNA expression profiles are associated with long‐term ES growth in horses and warrant further validation as prognostic biomarkers in a larger study cohort. Deregulation of miRNAs on equine chromosome 24 might represent a trigger for ES development.
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spelling pubmed-63355462019-01-23 Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression Unger, Lucia Jagannathan, Vidhya Pacholewska, Alicja Leeb, Tosso Gerber, Vinzenz J Vet Intern Med EQUID BACKGROUND: Currently no methods are available to predict the clinical outcome of individual horses with equine sarcoid (ES) disease. OBJECTIVE: To investigate if whole blood microRNA (miRNA) profiles can predict the long‐term development of ES tumors. ANIMALS: Five horses with regression and 5 with progression of ES lesions monitored over 5‐7 years and 5 control horses free of ES for at least 5 years. METHODS: For this cohort study, RNA extracted from whole blood samples from the regression, progression, and control groups was used for high throughput sequencing. Known and novel miRNAs were identified using miRDeep2 and differential expression analysis was carried out by the DESeq2 algorithm. Target gene and pathway prediction as well as enrichment and network analyses were conducted using TarBase, mirPath, and metaCore from GeneGo. RESULTS: Fourteen miRNAs were differentially expressed between regression and progression groups after accounting for the control condition: 4 miRNAs (28.6%) were upregulated and 10 miRNAs (71.4%) were downregulated with >2‐fold change. Seven of the 10 downregulated miRNAs are encoded in an miRNA cluster on equine chromosome 24, homologous to the well‐known 14q32 cluster in humans. Their target genes show enrichment for pathways involved in viral carcinogenesis. CONCLUSIONS AND CLINICAL IMPORTANCE: Whole blood miRNA expression profiles are associated with long‐term ES growth in horses and warrant further validation as prognostic biomarkers in a larger study cohort. Deregulation of miRNAs on equine chromosome 24 might represent a trigger for ES development. John Wiley & Sons, Inc. 2018-12-02 2019 /pmc/articles/PMC6335546/ /pubmed/30506726 http://dx.doi.org/10.1111/jvim.15375 Text en © 2018 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle EQUID
Unger, Lucia
Jagannathan, Vidhya
Pacholewska, Alicja
Leeb, Tosso
Gerber, Vinzenz
Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression
title Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression
title_full Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression
title_fullStr Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression
title_full_unstemmed Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression
title_short Differences in miRNA differential expression in whole blood between horses with sarcoid regression and progression
title_sort differences in mirna differential expression in whole blood between horses with sarcoid regression and progression
topic EQUID
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335546/
https://www.ncbi.nlm.nih.gov/pubmed/30506726
http://dx.doi.org/10.1111/jvim.15375
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