Evidence map›Paper›PMID 33610821›Full record

ArticleOsteoarthritis and cartilage2021

Circadian time series proteomics reveals daily dynamics in cartilage physiology.

M Dudek, C Angelucci, D Pathiranage, P Wang, V Mallikarjun, C Lawless, J Swift, K E Kadler, R P Boot-Handford, J A Hoyland and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Osteoarthritis and cartilage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Mechanisms of assembly and remodelling of the extracellular matrix.Nature reviews. Molecular cell biology · 2024
    Review
  11. Article
  12. Article
  13. Multitissue Circadian Proteome Atlas of WT and Per1Molecular & cellular proteomics : MCP · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

13 authors at 3 institutions in 2 countries.

M DudekWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
C AngelucciMurdoch Children's Research Institute and University of Melbourne, Parkville, Victoria, Australia.
D PathiranageWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
P WangDivision of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
V MallikarjunWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
C LawlessWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
J SwiftWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
K E KadlerWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
R P Boot-HandfordWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK.
J A HoylandDivision of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK; NIHR Manchester Biomedical Research Centre, Central Manchester Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
S R LamandeMurdoch Children's Research Institute and University of Melbourne, Parkville, Victoria, Australia.
J F BatemanMurdoch Children's Research Institute and University of Melbourne, Parkville, Victoria, Australia.
Q-J MengWellcome Centre for Cell Matrix Research, Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, UK. Electronic address: qing-jun.meng@manchester.ac.uk.
Wellcome Centre for Cell-Matrix Research · GBThe University of Melbourne · AUManchester Academic Health Science Centre · GB

Funding

Medical Research Council G0900414Medical Research Council MR/K019392/1Medical Research Council MR/P010709/1Medical Research Council MR/T016744/1Versus Arthritis 20875Wellcome Trust 110126/Z/15/Z
6 · The paper itself

Abstract

objectiveCartilage in joints such as the hip and knee experiences repeated phases of heavy loading and low load recovery during the 24-h day/night cycle. Our previous work has shown 24 h rhythmic changes in gene expression at transcript level between night and day in wild type mouse cartilage which is lost in a circadian clock knock-out mouse model. However, it remains unknown to what extent circadian rhythms also regulate protein level gene expression in this matrix rich tissue.

methodsWe investigated daily changes of protein abundance in mouse femoral head articular cartilage by performing a 48-h time-series LC-MS/MS analysis.

resultsOut of the 1,177 proteins we identified across all time points, 145 proteins showed rhythmic changes in their abundance within the femoral head cartilage. Among these were molecules that have been implicated in key cartilage functions, including CTGF, MATN1, PAI-1 and PLOD1 & 2. Pathway analysis revealed that protein synthesis, cytoskeleton and glucose metabolism exhibited time-of-day dependent functions. Analysis of published cartilage proteomics datasets revealed that a significant portion of rhythmic proteins were dysregulated in osteoarthritis and/or ageing.

conclusionsOur circadian proteomics study reveals that articular cartilage is a much more dynamic tissue than previously thought, with chondrocytes driving circadian rhythms not only in gene transcription but also in protein abundance. Our results clearly call for the consideration of circadian timing mechanisms not only in cartilage biology, but also in the pathogenesis, treatment strategies and biomarker detection in osteoarthritis.

Indexed as

ProteomicsAnimalsCartilage, ArticularChondrocytesChromatography, LiquidCircadian ClocksFemur HeadMiceMice, Inbred BALB CMice, KnockoutOsteoarthritisPeriod Circadian ProteinsRNA, MessengerTandem Mass SpectrometryPeriod Circadian ProteinsRNA, MessengerCartilageCircadian clockOsteoarthritisProteomics

Identifiers

PMID33610821
PMCPMC8113022
OpenAlexW3129891060

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.