Evidence map›Paper›PMID 27388770›Full record

ArticleArthritis research & therapy2016

Systematic protein-protein interaction and pathway analyses in the idiopathic inflammatory myopathies.

Joanna E Parkes, Simon Rothwell, Philip J Day, Neil J McHugh, Zoë E Betteridge, Robert G Cooper, William E Ollier, Hector Chinoy, Janine A Lamb, Myositis Genetics Consortium (MYOGEN)

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In one paragraph

Article in Arthritis research & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

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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

10 authors.

Joanna E ParkesCentre for Epidemiology, University of Manchester, 2.722 Stopford Building, Oxford Road, Manchester, M13 9PT, UK.
Simon RothwellCentre for Genetics and Genomics, Arthritis Research UK, University of Manchester, Manchester, UK.
Philip J DayCentre for Epidemiology, University of Manchester, 2.722 Stopford Building, Oxford Road, Manchester, M13 9PT, UK.
Neil J McHughBath Institute of Rheumatic Diseases, Royal National Hospital for Rheumatic Diseases, Bath, UK.
Zoë E BetteridgeBath Institute of Rheumatic Diseases, Royal National Hospital for Rheumatic Diseases, Bath, UK.
Robert G CooperMRC/ARUK Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.
William E OllierCentre for Epidemiology, University of Manchester, 2.722 Stopford Building, Oxford Road, Manchester, M13 9PT, UK.
Hector ChinoyNational Institute of Health Research Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, UK.
Janine A LambCentre for Epidemiology, University of Manchester, 2.722 Stopford Building, Oxford Road, Manchester, M13 9PT, UK. Janine.Lamb@manchester.ac.uk.
Myositis Genetics Consortium (MYOGEN)

Funding

Arthritis Research UK 18474Medical Research Council MR/K006312/1Medical Research Council MR/N003322/1Wellcome Trust
6 · The paper itself

Abstract

backgroundThe idiopathic inflammatory myopathies (IIM) are autoimmune diseases characterised by acquired proximal muscle weakness, inflammatory cell infiltrates in muscle and myositis-specific/associated autoantibodies. It is unclear which pathways are involved in IIM, and the functional relationship between autoantibody targets has not been systematically explored. Protein-protein interaction and pathway analyses were conducted to identify pathways relevant to disease, using autoantibody targets and gene products of IIM-associated single nucleotide polymorphism (SNP) loci.

methodsProtein-protein interactions were analysed using Disease Association Protein-Protein Link Evaluator (DAPPLE). Gene ontology and pathway analyses were conducted using Database for Annotation Visualisation and Integrated Discovery (DAVID) and Gene Relationships Across Implicated Loci (GRAIL). Analyses were undertaken including the targets of published autoantibodies, significant and suggestive SNPs from an IIM association study and autoantibody targets plus SNPs combined.

resultsThe protein-protein interaction networks formed by autoantibody targets and associated SNPs showed significant direct and/or indirect connectivity (p < 0.05). Autoantibody targets plus associated SNPs combined resulted in more significant indirect and common interactor connectivity, suggesting autoantibody targets and proteins encoded by IIM-associated loci may be involved in common pathways. Tumour necrosis factor receptor-associated factor 6 (TRAF6) was identified as a hub protein, and UBE3B, HSPA1A, HSPA1B and PSMD3 also were identified as genes with significant connectivity. Pathway analysis identified that autoantibody targets and associated SNP regions are significantly interconnected (p < 0.01), and confirmed autoantibody target involvement in translational and post-translational processes. 'Ubiquitin' was the only keyword strongly linking significant genes across regions in all three GRAIL analyses of autoantibody targets and IIM-associated SNPs.

conclusionsAutoantibody targets and IIM-associated loci show significant connectivity and inter-relatedness, and identify several key genes and pathways in IIM pathogenesis, possibly mediated via the ubiquitination pathway.

Indexed as

Protein Interaction MapsAutoantibodiesAutoantigensHumansMyositisPolymorphism, Single NucleotideProtein Interaction MappingAutoantibodiesAutoantigensAssociationAutoantibodiesIdiopathic inflammatory myopathiesPathway analysisProtein-protein interaction

Identifiers

PMID27388770
PMCPMC4936183
OpenAlexW2341673509

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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.