Evidence map›Paper›PMID 35855332›Full record

ArticleAging and disease2022

The Metabolic Landscape in Osteoarthritis.

Xiaoxin Wu, Xiwei Fan, Ross Crawford, Yin Xiao, Indira Prasadam

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.1field-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

39 citing papers in PubMed, 46 citations in OpenAlex.

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  19. Identification of telomere-related diagnostic markers in osteoarthritis based on bioinformatics analysis and machine learning.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
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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

5 authors at 2 institutions in 1 country.

Xiaoxin Wu1Centre for Biomedical Technologies, Faculty of Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.
Xiwei Fan1Centre for Biomedical Technologies, Faculty of Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.
Ross Crawford1Centre for Biomedical Technologies, Faculty of Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.
Yin Xiao1Centre for Biomedical Technologies, Faculty of Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.
Indira Prasadam1Centre for Biomedical Technologies, Faculty of Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.
Prince Charles Hospital · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Articular cartilage function depends on the temporal and zonal distribution of coordinated metabolic regulation in chondrocytes. Emerging evidence shows the importance of cellular metabolism in the molecular control of the cartilage and its dysregulation in degenerative diseases like osteoarthritis (OA). Compared to most other tissues, chondrocytes are sparsely located in the extracellular matrix, lacking the typical proximity of neural, vascular, and lymphatic tissue. Making up under 5% of the total tissue weight of cartilage, chondrocytes have a relative deficiency of access to nutrients and oxygen, as well as limited pathways for metabolite removal. This makes cartilage a unique tissue with hypocellularity, prolonged metabolic rate, and tissue turnover. Studies in the past decade have shown that several pathways of central carbon metabolism are essential for cartilage homeostasis. Here, we summarised the literature findings on the role of cellular metabolism in determining the chondrocyte function and how this metabolic dysregulation led to cartilage aging in OA and provided an outlook on how the field may evolve in the coming years. Although the various energy metabolism pathways are inextricably linked with one another, for the purpose of this review, we initially endeavoured to examine them individually and in relative isolation. Subsequently, we comment on what is known regarding the integration and linked signalling pathways between these systems and the therapeutic opportunities for targeting OA metabolism.

Indexed as

articular cartilagechondrocyteenergy metabolismglycolysisosteoarthritisoxidative phosphorylation

Identifiers

PMID35855332
PMCPMC9286923
OpenAlexW4285743059

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.