Evidence map›Paper›PMID 28758108›Full record

ArticleInternational journal of genomics2017

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

Michał Korostyński, Natalia Małek, Marcin Piechota, Katarzyna Starowicz

Abstract read
In one paragraph

Article in International journal of genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michał KorostyńskiDepartment of Molecular Neuropharmacology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland.ORCID 0000-0002-4273-7401
Natalia MałekDepartment of Pain Pharmacology, Laboratory of Pain Pathophysiology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland.
Marcin PiechotaDepartment of Molecular Neuropharmacology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland.
Katarzyna StarowiczDepartment of Pain Pharmacology, Laboratory of Pain Pathophysiology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland.ORCID 0000-0003-0091-0066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID28758108
PMCPMC5512050

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