Evidence map›Paper›PMID 29099860›Full record

ArticlePloS one2017

Autoimmunity and autoinflammation: A systems view on signaling pathway dysregulation profiles.

Arsen Arakelyan, Lilit Nersisyan, David Poghosyan, Lusine Khondkaryan, Anna Hakobyan, Henry Löffler-Wirth, Evie Melanitou, Hans Binder

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% of its field
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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  17. Immunoenhancing Effects ofMarine drugs · 2022
    Article
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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

8 authors at 5 institutions in 3 countries.

Arsen ArakelyanBioinformatics Group, Institute of Molecular Biology, National Academy of Sciences RA, Yerevan, Armenia.ORCID http://orcid.org/0000-0002-6851-1056
Lilit NersisyanBioinformatics Group, Institute of Molecular Biology, National Academy of Sciences RA, Yerevan, Armenia.
David PoghosyanGroup of Immune Response Regulation, Institute of Molecular Biology, National Academy of Sciences RA, Yerevan, Armenia.
Lusine KhondkaryanGroup of Immune Response Regulation, Institute of Molecular Biology, National Academy of Sciences RA, Yerevan, Armenia.
Anna HakobyanBioinformatics Group, Institute of Molecular Biology, National Academy of Sciences RA, Yerevan, Armenia.
Henry Löffler-WirthInterdisciplinary Centre for Bioinformatics, University of Leipzig, Leipzig, Germany.
Evie MelanitouDepartment of Parasitology and Insect Vectors, Institut Pasteur, Paris, France.
Hans BinderInterdisciplinary Centre for Bioinformatics, University of Leipzig, Leipzig, Germany.
Institute of Molecular Biology · AMLeipzig University · DEAmerican University of Armenia · AMInstitut Pasteur · FRRussian-Armenian University · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAutoinflammatory and autoimmune disorders are characterized by aberrant changes in innate and adaptive immunity that may lead from an initial inflammatory state to an organ specific damage. These disorders possess heterogeneity in terms of affected organs and clinical phenotypes. However, despite the differences in etiology and phenotypic variations, they share genetic associations, treatment responses and clinical manifestations. The mechanisms involved in their initiation and development remain poorly understood, however the existence of some clear similarities between autoimmune and autoinflammatory disorders indicates variable degrees of interaction between immune-related mechanisms.

methodsOur study aims at contributing to a holistic, pathway-centered view on the inflammatory condition of autoimmune and autoinflammatory diseases. We have evaluated similarities and specificities of pathway activity changes in twelve autoimmune and autoinflammatory disorders by performing meta-analysis of publicly available gene expression datasets generated from peripheral blood mononuclear cells, using a bioinformatics pipeline that integrates Self Organizing Maps and Pathway Signal Flow algorithms along with KEGG pathway topologies. RESULTS AND

conclusionsThe results reveal that clinically divergent disease groups share common pathway perturbation profiles. We identified pathways, similarly perturbed in all the studied diseases, such as PI3K-Akt, Toll-like receptor, and NF-kappa B signaling, that serve as integrators of signals guiding immune cell polarization, migration, growth, survival and differentiation. Further, two clusters of diseases were identified based on specifically dysregulated pathways: one gathering mostly autoimmune and the other mainly autoinflammatory diseases. Cluster separation was driven not only by apparent involvement of pathways implicated in adaptive immunity in one case, and inflammation in the other, but also by processes not explicitly related to immune response, but rather representing various events related to the formation of specific pathophysiological environment. Thus, our data suggest that while all of the studied diseases are affected by activation of common inflammatory processes, disease-specific variations in their relative balance are also identified.

Indexed as

Systems BiologyAutoimmunityHumansInflammation

Identifiers

PMID29099860
PMCPMC5669448
OpenAlexW2766258897

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.