Evidence map›Paper›PMID 26489762›Full record

ArticleScientific reports2015

Gene Expression Profiling Identifies Interferon Signalling Molecules and IGFBP3 in Human Degenerative Annulus Fibrosus.

Zepur Kazezian, Rahul Gawri, Lisbet Haglund, Jean Ouellet, Fackson Mwale, Finbarr Tarrant, Peadar O'Gaora, Abhay Pandit, Mauro Alini, Sibylle Grad

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
2.9field-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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Immune system expression profiling in patients experiencing low back pain: A pilot study.PM & R : the journal of injury, function, and rehabilitation · 2026
    Observational
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6 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 3 countries.

Zepur KazezianCentre for Research in Medical Devices (CÚRAM), National University of Ireland, Galway, Ireland.
Rahul GawriMcGill Scoliosis and Spine Group, Department of Surgery, McGill University, Montreal, Canada.
Lisbet HaglundMcGill Scoliosis and Spine Group, Department of Surgery, McGill University, Montreal, Canada.
Jean OuelletMcGill Scoliosis and Spine Group, Department of Surgery, McGill University, Montreal, Canada.
Fackson MwaleDepartment of Surgery, Lady Davis Institute, McGill University, Montreal, Canada.
Finbarr TarrantUCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland.
Peadar O'GaoraUCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland.
Abhay PanditCentre for Research in Medical Devices (CÚRAM), National University of Ireland, Galway, Ireland.
Mauro AliniAO Research Institute Davos, Davos, Switzerland.
Sibylle GradAO Research Institute Davos, Davos, Switzerland.
McGill University · CAAO Foundation · CHOllscoil na Gaillimhe – University of Galway · IEUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low back pain is a major cause of disability especially for people between 20 and 50 years of age. As a costly healthcare problem, it imposes a serious socio-economic burden. Current surgical therapies fail to replace the normal disc in facilitating spinal movements and absorbing load. The focus of regenerative medicine is on identifying biomarkers and signalling pathways to improve our understanding about cascades of disc degeneration and allow for the design of specific therapies. We hypothesized that comparing microarray profiles from degenerative and non-degenerative discs will lead to the identification of dysregulated signalling and pathophysiological targets. Microarray data sets were generated from human annulus fibrosus cells and analysed using IPA ingenuity pathway analysis. Gene expression values were validated by qRT-PCR, and respective proteins were identified by immunohistochemistry. Microarray analysis revealed 238 differentially expressed genes in the degenerative annulus fibrosus. Seventeen of the dysregulated molecular markers showed log2-fold changes greater than ±1.5. Various dysregulated cellular functions, including cell proliferation and inflammatory response, were identified. The most significant canonical pathway induced in degenerative annulus fibrosus was found to be the interferon pathway. This study indicates interferon-alpha signalling pathway activation with IFIT3 and IGFBP3 up-regulation, which may affect cellular function in human degenerative disc.

Indexed as

Regenerative MedicineAdultGene ExpressionGene Expression ProfilingHumansInsulin-Like Growth Factor Binding Protein 3Intervertebral DiscIntervertebral Disc DegenerationIntracellular Signaling Peptides and ProteinsLow Back PainMicroarray AnalysisSignal TransductionIFIT3 protein, humanIGFBP3 protein, humanInsulin-Like Growth Factor Binding Protein 3Intracellular Signaling Peptides and Proteins

Identifiers

PMID26489762
PMCPMC4614807
OpenAlexW2178938680

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.