Evidence map›Paper›PMID 35321117›Full record

ArticleTherapeutic advances in musculoskeletal disease2022

Circulating microRNAs differentiate fast-progressing from slow-progressing and non-progressing knee osteoarthritis in the Osteoarthritis Initiative cohort.

Shabana Amanda Ali, Osvaldo Espin-Garcia, Andy K Wong, Pratibha Potla, Chiara Pastrello, Madison McIntyre, Starlee Lively, Igor Jurisica, Rajiv Gandhi, Mohit Kapoor

Abstract readAddress
PubMed Full text at PMC Publisher
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  17. Can genetics guide exercise prescriptions in osteoarthritis?Frontiers in rehabilitation sciences · 2022
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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

10 authors.

Shabana Amanda AliBone and Joint Center, Henry Ford Health System, 6135 Woodward Avenue, Detroit, MI, 48202, USA.ORCID https://orcid.org/0000-0002-4339-9467
Osvaldo Espin-GarciaOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Andy K WongOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Pratibha PotlaOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Chiara PastrelloOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Madison McIntyreOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Starlee LivelyOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Igor JurisicaOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Rajiv GandhiOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Mohit KapoorOsteoarthritis Research Program, Division of Orthopaedics, Schroeder Arthritis Institute, University Health Network, 60 Leonard Avenue, Toronto, ON, M5T 2R1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The objective of this study is to identify circulating microRNAs that distinguish fast-progressing radiographic knee osteoarthritis (OA) in the Osteoarthritis Initiative cohort by applying microRNA-sequencing. Methods: Participants with Kellgren-Lawrence (KL) grade 0/1 at baseline were included ( Results: DE analyses revealed 48 microRNAs at baseline and 2 microRNAs at 4-year follow-up [false discovery rate (FDR) < 0.05] comparing fast-progressors with both slow-progressors and non-progressors. Among these were hsa-miR-320b, hsa-miR-320c, hsa-miR-320d, and hsa-miR-320e, which were predicted to target gene families, including members of the 14-3-3 gene family, involved in signal transduction. PLR models included miR-320 members as top predictors of fast-progressors and yielded AUC ranging from 82.6 to 91.9, representing good accuracy. Conclusion: The miR-320 family is associated with fast-progressing radiographic knee OA and merits further investigation as potential biomarkers and mechanistic drivers of knee OA.

Indexed as

epigeneticsknee OA progressionlongitudinalnoncoding RNAsphenotypingprognostic biomarkerssequencing

Identifiers

PMID35321117
PMCPMC8935408

What OpenQuestion holds

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Registered trials

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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.