Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis

Biomarkers of osteoarthritis (OA) that can accurately diagnose the disease at the earliest stage would significantly support efforts to develop treatments for prevention and early intervention. We have sought to determine the time course of alterations in peripheral blood gene expression profile ass...

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Main Authors: Michał Korostyński, Natalia Małek, Marcin Piechota, Katarzyna Starowicz
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2017/1746426
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author Michał Korostyński
Natalia Małek
Marcin Piechota
Katarzyna Starowicz
author_facet Michał Korostyński
Natalia Małek
Marcin Piechota
Katarzyna Starowicz
author_sort Michał Korostyński
collection DOAJ
description Biomarkers of osteoarthritis (OA) that can accurately diagnose the disease at the earliest stage would significantly support efforts to develop treatments for prevention and early intervention. We have sought to determine the time course of alterations in peripheral blood gene expression profile associated with the development of OA. Blood samples were collected from a tail vein of individual rats with monosodium iodoacetate- (MIA-) induced OA (2, 14, 21, and 28 days after the treatment). We used whole-genome microarrays to reveal OA-related transcriptional alterations of 72 transcripts. Three main groups of coexpressed genes revealed diverse time-dependent profiles of up- and downregulation. Functional links that connect expression of the gradually downregulated genes to the G13 signaling pathway were indicated. The mRNA abundance levels of the identified transcripts were further analyzed in publicly available gene expression dataset obtained from a GARP study cohort of OA patients. We revealed three-gene signature differentially expressed in both rat and human blood (TNK2, KCTD2, and WDR37). The alterations in expression of the selected transcripts in peripheral blood samples of the patients indicate heterogeneity of the OA profiles potentially related to disease progress and severity of clinical symptoms. Our study identifies several potential stage-specific biomarkers of OA progression.
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spelling doaj-art-421a4db4fbfc44dbbda999258a5ac43e2025-02-03T01:09:05ZengWileyInternational Journal of Genomics2314-436X2314-43782017-01-01201710.1155/2017/17464261746426Blood Transcriptional Signatures for Disease Progression in a Rat Model of OsteoarthritisMichał Korostyński0Natalia Małek1Marcin Piechota2Katarzyna Starowicz3Department of Molecular Neuropharmacology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, PolandDepartment of Pain Pharmacology, Laboratory of Pain Pathophysiology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, PolandDepartment of Molecular Neuropharmacology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, PolandDepartment of Pain Pharmacology, Laboratory of Pain Pathophysiology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, PolandBiomarkers of osteoarthritis (OA) that can accurately diagnose the disease at the earliest stage would significantly support efforts to develop treatments for prevention and early intervention. We have sought to determine the time course of alterations in peripheral blood gene expression profile associated with the development of OA. Blood samples were collected from a tail vein of individual rats with monosodium iodoacetate- (MIA-) induced OA (2, 14, 21, and 28 days after the treatment). We used whole-genome microarrays to reveal OA-related transcriptional alterations of 72 transcripts. Three main groups of coexpressed genes revealed diverse time-dependent profiles of up- and downregulation. Functional links that connect expression of the gradually downregulated genes to the G13 signaling pathway were indicated. The mRNA abundance levels of the identified transcripts were further analyzed in publicly available gene expression dataset obtained from a GARP study cohort of OA patients. We revealed three-gene signature differentially expressed in both rat and human blood (TNK2, KCTD2, and WDR37). The alterations in expression of the selected transcripts in peripheral blood samples of the patients indicate heterogeneity of the OA profiles potentially related to disease progress and severity of clinical symptoms. Our study identifies several potential stage-specific biomarkers of OA progression.http://dx.doi.org/10.1155/2017/1746426
spellingShingle Michał Korostyński
Natalia Małek
Marcin Piechota
Katarzyna Starowicz
Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis
International Journal of Genomics
title Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis
title_full Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis
title_fullStr Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis
title_full_unstemmed Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis
title_short Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis
title_sort blood transcriptional signatures for disease progression in a rat model of osteoarthritis
url http://dx.doi.org/10.1155/2017/1746426
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AT katarzynastarowicz bloodtranscriptionalsignaturesfordiseaseprogressioninaratmodelofosteoarthritis