Evidence map›Paper›PMID 30185670›Full record

ReviewJCI insight2018

The complex landscape of microRNAs in articular cartilage: biology, pathology, and therapeutic targets.

Helal Endisha, Jason Rockel, Igor Jurisica, Mohit Kapoor

Open access · goldAbstract readReview
In one paragraph

Review in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
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  18. Heliyon · 2023
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7 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

4 authors at 1 institution in 2 countries.

Helal EndishaArthritis Program, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Jason RockelArthritis Program, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Igor JurisicaArthritis Program, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
Mohit KapoorArthritis Program, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
University Health Network · CA

Funding

CIHR 285893
6 · The paper itself

Abstract

The disabling degenerative disease osteoarthritis (OA) is prevalent among the global population. Articular cartilage degeneration is a central feature of OA; therefore, a better understanding of the mechanisms that maintain cartilage homeostasis is vital for developing effective therapeutic interventions. MicroRNAs (miRs) modulate cell signaling pathways and various processes in articular cartilage via posttranscriptional repression of target genes. As dysregulated miRs frequently alter the homeostasis of articular cartilage, modulating select miRs presents a potential therapeutic opportunity for OA. Here, we review key miRs that have been shown to modulate cartilage-protective or -destructive mechanisms and signaling pathways. Additionally, we use an integrative computational biology approach to provide insight into predicted miR gene targets that may contribute to OA pathogenesis, and highlight the complexity of miR signaling in OA by generating both unique and overlapping gene targets of miRs that mediate protective or destructive effects. Early OA detection would enable effective prevention; thus, miRs are being explored as diagnostic biomarkers. We discuss these ongoing efforts and the applicability of miR mimics and antisense inhibitors as potential OA therapeutics.

Indexed as

ApoptosisAutophagyBiomarkersCartilage, ArticularChondrocytesComputational BiologyGenes, OverlappingHomeostasisHumansMicroRNAsOsteoarthritisSignal TransductionSynovial MembraneTranscription FactorsBiomarkersMicroRNAsTranscription Factors

Identifiers

PMID30185670
PMCPMC6171796
OpenAlexW2889639332

What OpenQuestion holds

Textmetadata
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.