Evidence map›Paper›PMID 32659941›Full record

ArticleGenes2020

Network Analysis Identifies Gene Regulatory Network Indicating the Role of RUNX1 in Human Intervertebral Disc Degeneration.

Nazir M Khan, Martha E Diaz-Hernandez, Steven M Presciutti, Hicham Drissi

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Aging · 2025
    Article
  4. Review
  5. Computational and structural biotechnology journal · 2025
    Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Nazir M KhanDepartment of Orthopaedics, Emory University, Atlanta, GA 30322, USA.
Martha E Diaz-HernandezDepartment of Orthopaedics, Emory University, Atlanta, GA 30322, USA.
Steven M PresciuttiDepartment of Orthopaedics, Emory University, Atlanta, GA 30322, USA.ORCID 0000-0001-6547-9495
Hicham DrissiDepartment of Orthopaedics, Emory University, Atlanta, GA 30322, USA.
Emory University · US

Funding

NIH HHS R21-AR071536
6 · The paper itself

Abstract

Intervertebral disc (IVD) degeneration (IDD) is a multifactorial physiological process which is often associated with lower back pain. Previous studies have identified some molecular markers associated with disc degeneration, which despite their significant contributions, have provided limited insight into the etiology of IDD. In this study, we utilized a network medicine approach to uncover potential molecular mediators of IDD. Our systematic analyses of IDD associated with 284 genes included functional annotation clustering, interaction networks, network cluster analysis and Transcription factors (TFs)-target gene network analysis. The functional enrichment and protein-protein interaction network analysis highlighted the role of inflammatory genes and cytokine/chemokine signaling in IDD. Moreover, sub-network analysis identified significant clusters possessing organized networks of 24 cytokine and chemokine genes, which may be considered as key modulators for IDD. The expression of these genes was validated in independent microarray datasets. In addition, the regulatory network analysis identified the role of multiple transcription factors, with RUNX1 being a master regulator in the pathogenesis of IDD. Our analyses highlighted the role of cytokine genes and interacting pathways in IDD and further improved our understanding of the genetic mechanisms underlying IDD.

Indexed as

Gene Regulatory NetworksCore Binding Factor Alpha 2 SubunitCytokinesHumansIntervertebral Disc DegenerationCore Binding Factor Alpha 2 SubunitCytokinesRUNX1 protein, humangene-ontologyinteraction networknetwork clusterpathway enrichmentregulatory-networkRUNX1transcription factor

Identifiers

PMID32659941
PMCPMC7397129
OpenAlexW3040935224

What OpenQuestion holds

Textmetadata
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.