Evidence map›Paper›PMID 24630964›Full record

ArticleGene2014

Integration of gene expression data with network-based analysis to identify signaling and metabolic pathways regulated during the development of osteoarthritis.

Amy L Olex, William H Turkett, Jacquelyn S Fetrow, Richard F Loeser

Abstract read
In one paragraph

Article in Gene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Chemokines in Cartilage Regeneration and Degradation: New Insights.International journal of molecular sciences · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Article
  13. Association between Single Nucleotide Polymorphisms ofJournal of clinical and diagnostic research : JCDR · 2017
    Article
  14. Chemokines and inflammation in osteoarthritis: Insights from patients and animal models.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Review
  15. Article
  16. The microRNA-29 family in cartilage homeostasis and osteoarthritis.Journal of molecular medicine (Berlin, Germany) · 2016
    Article
  17. Review
  18. Review
  19. Review
  20. Elevated expression of periostin in human osteoarthritic cartilage and its potential role in matrix degradation via matrix metalloproteinase-13.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2015
    Article
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.

Amy L OlexDepartment of Computer Science, Wake Forest University, Winston-Salem, NC, USA. Electronic address: amy.lynn81@gmail.com.
William H TurkettDepartment of Computer Science, Wake Forest University, Winston-Salem, NC, USA. Electronic address: turketwh@wfu.edu.
Jacquelyn S FetrowDepartment of Computer Science, Wake Forest University, Winston-Salem, NC, USA; Department of Physics, Wake Forest University, Winston-Salem, NC, USA. Electronic address: fetrowjs@wfu.edu.
Richard F LoeserDepartment of Internal Medicine, Section of Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA. Electronic address: richard_loeser@med.unc.edu.
Wake Forest University · US

Funding

Integrin Function in CartilageR37AR049003 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LOESER, RICHARD F · 2012 to 2021
$4.1M
NIAMS NIH HHS R37 AR049003NIAMS NIH HHS R37 AR049003-12
6 · The paper itself

Abstract

Osteoarthritis (OA) is characterized by remodeling and degradation of joint tissues. Microarray studies have led to a better understanding of the molecular changes that occur in tissues affected by conditions such as OA; however, such analyses are limited to the identification of a list of genes with altered transcript expression, usually at a single time point during disease progression. While these lists have identified many novel genes that are altered during the disease process, they are unable to identify perturbed relationships between genes and gene products. In this work, we have integrated a time course gene expression dataset with network analysis to gain a better systems level understanding of the early events that occur during the development of OA in a mouse model. The subnetworks that were enriched at one or more of the time points examined (2, 4, 8, and 16 weeks after induction of OA) contained genes from several pathways proposed to be important to the OA process, including the extracellular matrix-receptor interaction and the focal adhesion pathways and the Wnt, Hedgehog and TGF-β signaling pathways. The genes within the subnetworks were most active at the 2 and 4 week time points and included genes not previously studied in the OA process. A unique pathway, riboflavin metabolism, was active at the 4 week time point. These results suggest that the incorporation of network-type analyses along with time series microarray data will lead to advancements in our understanding of complex diseases such as OA at a systems level, and may provide novel insights into the pathways and processes involved in disease pathogenesis.

Indexed as

AnimalsArthritis, ExperimentalDisease Models, AnimalDisease ProgressionFocal AdhesionsGene ExpressionGene Expression ProfilingHedgehog ProteinsJointsMaleMetabolic Networks and PathwaysMiceMice, Inbred C57BLOligonucleotide Array Sequence AnalysisOsteoarthritisReceptors, CytoadhesinHedgehog ProteinsReceptors, CytoadhesinRiboflavinTransforming Growth Factor betaWnt ProteinsArthritisArticular cartilageCell signalingExtracellular matrixSystems biology

Identifiers

PMID24630964
PMCPMC4031746
OpenAlexW1973394305

What OpenQuestion holds

Textmetadata
LicenceTDM
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.