Evidence map›Paper›PMID 25475114›Full record

ArticleAnnals of the rheumatic diseases2016

Oxidative changes and signalling pathways are pivotal in initiating age-related changes in articular cartilage.

Wang Hui, David A Young, Andrew D Rowan, Xin Xu, Tim E Cawston, Carole J Proctor

Open access · hybridAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

119 citing papers in PubMed, 2 syntheses or guidelines pooled it, 207 citations in OpenAlex.

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59 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

6 authors at 1 institution in 1 country.

Wang HuiMRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), Musculoskeletal Research Group, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK.
David A YoungMRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), Musculoskeletal Research Group, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Andrew D RowanMRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), Musculoskeletal Research Group, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Xin XuBiomedicine Biobank, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Tim E CawstonMRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), Musculoskeletal Research Group, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK.
Carole J ProctorMRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), Musculoskeletal Research Group, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle upon Tyne, UK Newcastle University Institute for Ageing, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
Newcastle University · GB

Funding

Medical Research Council MR/K006312/1
6 · The paper itself

Abstract

objectiveTo use a computational approach to investigate the cellular and extracellular matrix changes that occur with age in the knee joints of mice.

methodsKnee joints from an inbred C57/BL1/6 (ICRFa) mouse colony were harvested at 3-30 months of age. Sections were stained with H&E, Safranin-O, Picro-sirius red and antibodies to matrix metalloproteinase-13 (MMP-13), nitrotyrosine, LC-3B, Bcl-2, and cleaved type II collagen used for immunohistochemistry. Based on this and other data from the literature, a computer simulation model was built using the Systems Biology Markup Language using an iterative approach of data analysis and modelling. Individual parameters were subsequently altered to assess their effect on the model.

resultsA progressive loss of cartilage matrix occurred with age. Nitrotyrosine, MMP-13 and activin receptor-like kinase-1 (ALK1) staining in cartilage increased with age with a concomitant decrease in LC-3B and Bcl-2. Stochastic simulations from the computational model showed a good agreement with these data, once transforming growth factor-β signalling via ALK1/ALK5 receptors was included. Oxidative stress and the interleukin 1 pathway were identified as key factors in driving the cartilage breakdown associated with ageing.

conclusionsA progressive loss of cartilage matrix and cellularity occurs with age. This is accompanied with increased levels of oxidative stress, apoptosis and MMP-13 and a decrease in chondrocyte autophagy. These changes explain the marked predisposition of joints to develop osteoarthritis with age. Computational modelling provides useful insights into the underlying mechanisms involved in age-related changes in musculoskeletal tissues.

Indexed as

Activin Receptors, Type IAgingAnimalsCartilage, ArticularCollagen Type IIComputer SimulationExtracellular MatrixImmunohistochemistryInterleukin-1Knee JointMatrix Metalloproteinase 13MiceMice, Inbred C57BLOxidative StressSignal TransductionTransforming Growth Factor beta3-nitrotyrosineActivin Receptors, Type ICollagen Type IIInterleukin-1Matrix Metalloproteinase 13Transforming Growth Factor betaTyrosineChondrocytesOsteoarthritisSynovial fluid

Identifiers

PMID25475114
PMCPMC4752670
OpenAlexW2163432819

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.