Evidence map›Paper›PMID 31344123›Full record

ArticlePloS one2019

Analysis of gene expression in rheumatoid arthritis and related conditions offers insights into sex-bias, gene biotypes and co-expression patterns.

Alexander Platzer, Thomas Nussbaumer, Thomas Karonitsch, Josef S Smolen, Daniel Aletaha

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Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alexander PlatzerDivision of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-2318-8806
Thomas NussbaumerChair and Institute of Environmental Medicine, UNIKA-T, Technical University and Helmholtz Zentrum München, Augsburg, Germany.ORCID 0000-0003-4922-1966
Thomas KaronitschDivision of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Josef S SmolenDivision of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Daniel AletahaDivision of Rheumatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The era of next-generation sequencing has mounted the foundation of many gene expression studies. In rheumatoid arthritis research, this has led to the discovery of important candidate genes which offered novel insights into mechanisms and their possible roles in the cure of the disease. In the last years, data generation has outstripped data analysis and while many studies focused on specific aspects of the disease, a global picture of the disease is not yet accomplished. Here, we analyzed and compared a collection of gene expression information from healthy individuals and from patients suffering under different arthritis conditions from published studies containing the following clinical conditions: early and established rheumatoid arthritis, osteoarthritis and arthralgia. We show comprehensive overviews of this data collection and give new insights specifically on gene expression in the early stage, into sex-dependent gene expression, and we describe general differences in expression of different biotypes of genes. Many genes that are related to cytoskeleton changes (actin filament related genes) are differently expressed in early rheumatoid arthritis in comparison to healthy subjects; interestingly, eight of these genes reverse their expression ratio significantly between men and women compared early rheumatoid arthritis and healthy subjects. There are some slighter changes between men and woman between the conditions early and established rheumatoid arthritis. Another aspect are miRNAs and other gene biotypes which are not only promising candidates for diagnoses but also change their expression grossly in average at rheumatoid arthritis and arthralgia compared to the healthy condition. With a selection of intersecting genes, we were able to generate simple classification models to distinguish between healthy and rheumatoid arthritis as well as between early rheumatoid arthritis to other arthritides based on gene expression.

Indexed as

Gene Expression RegulationSexismArthritis, RheumatoidCluster AnalysisFemaleGene OntologyHumansMaleModels, BiologicalOsteoarthritisPrincipal Component Analysis

Identifiers

PMID31344123
PMCPMC6657850

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.