Evidence map›Paper›PMID 35457215›Full record

SynthesisInternational journal of molecular sciences2022

Identifying Novel Osteoarthritis-Associated Genes in Human Cartilage Using a Systematic Meta-Analysis and a Multi-Source Integrated Network.

Emily Shorter, Roberto Avelar, Margarita Zachariou, George M Spyrou, Priyanka Raina, Aibek Smagul, Yalda Ashraf Kharaz, Mandy Peffers, Kasia Goljanek-Whysall, João Pedro de Magalhães and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. MicroRNA expression in osteoarthritis: a meta-analysis.Clinical and experimental medicine · 2023
    Pooled it
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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

11 authors.

Emily ShorterDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.ORCID 0000-0001-9431-3742
Roberto AvelarDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.ORCID 0000-0003-4997-9953
Margarita ZachariouBioinformatics Department, The Cyprus Institute of Neurology & Genetics, Nicosia 23462, Cyprus.ORCID 0000-0001-8950-4077
George M SpyrouBioinformatics Department, The Cyprus Institute of Neurology & Genetics, Nicosia 23462, Cyprus.ORCID 0000-0002-2470-3363
Priyanka RainaDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.
Aibek SmagulDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.
Yalda Ashraf KharazDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.
Mandy PeffersDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.
Kasia Goljanek-WhysallDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.
João Pedro de MagalhãesDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.ORCID 0000-0002-6363-2465
Blandine PouletDepartment of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/M011186/1Biotechnology and Biological Sciences Research Council BB/R014949/1Health Research Board COV19-2020-060Irish Research Council IRCLA/2017/101),Medical Research Council MR/P020941/1Pet Plan Charitable Trust S20-857-896Science Foundation Ireland 19/FFP/6709Versus Arthritis MR/P020941/1Wellcome Trust 107471/Z/15/Z
6 · The paper itself

Abstract

Osteoarthritis, the most common joint disorder, is characterised by deterioration of the articular cartilage. Many studies have identified potential therapeutic targets, yet no effective treatment has been determined. The aim of this study was to identify and rank osteoarthritis-associated genes and micro-RNAs to prioritise those most integral to the disease. A systematic meta-analysis of differentially expressed mRNA and micro-RNAs in human osteoarthritic cartilage was conducted. Ingenuity pathway analysis identified cellular senescence as an enriched pathway, confirmed by a significant overlap (p < 0.01) with cellular senescence drivers (CellAge Database). A co-expression network was built using genes from the meta-analysis as seed nodes and combined with micro-RNA targets and SNP datasets to construct a multi-source information network. This accumulated and connected 1689 genes which were ranked based on node and edge aggregated scores. These bioinformatic analyses were confirmed at the protein level by mass spectrometry of the different zones of human osteoarthritic cartilage (superficial, middle, and deep) compared to normal controls. This analysis, and subsequent experimental confirmation, revealed five novel osteoarthritis-associated proteins (PPIB, ASS1, LHDB, TPI1, and ARPC4-TTLL3). Focusing future studies on these novel targets may lead to new therapies for osteoarthritis.

Indexed as

Cartilage, ArticularMicroRNAsOsteoarthritisComputational BiologyHumansRNA, MessengerMicroRNAsRNA, Messengercartilagedysregulationjointmeta-analysismicroRNAmRNAnovelosteoarthritisproteomics

Identifiers

PMID35457215
PMCPMC9030814

What OpenQuestion holds

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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.