Evidence map›Paper›PMID 34213828›Full record

ReviewJournal of cellular and molecular medicine2021

Drivers of phenotypic variation in cartilage: Circadian clock genes.

Xiaopeng Song, Hui Bai, Xinghua Meng, Jianhua Xiao, Li Gao

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Drivers of phenotypic variation in cartilage: Circadian clock genes.Journal of cellular and molecular medicine · 2021
    Review
  5. Article
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 1 institution in 1 country.

Xiaopeng SongCollege of Veterinary Medicine, Heilongjiang Key Laboratory Animals and Comparative Medicine, Northeast Agricultural University, Harbin, China.ORCID 0000-0003-4881-3935
Hui BaiCollege of Veterinary Medicine, Heilongjiang Key Laboratory Animals and Comparative Medicine, Northeast Agricultural University, Harbin, China.
Xinghua MengCollege of Veterinary Medicine, Heilongjiang Key Laboratory Animals and Comparative Medicine, Northeast Agricultural University, Harbin, China.
Jianhua XiaoCollege of Veterinary Medicine, Heilongjiang Key Laboratory Animals and Comparative Medicine, Northeast Agricultural University, Harbin, China.ORCID 0000-0003-1109-9133
Li GaoCollege of Veterinary Medicine, Heilongjiang Key Laboratory Animals and Comparative Medicine, Northeast Agricultural University, Harbin, China.ORCID 0000-0001-9190-0562
Northeast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endogenous homeostasis and peripheral tissue metabolism are disrupted by irregular fluctuations in activation, movement, feeding and temperature, which can accelerate negative biological processes and lead to immune reactions, such as rheumatoid arthritis (RA) and osteoarthritis (OA). This review summarizes abnormal phenotypes in articular joint components such as cartilage, bone and the synovium, attributed to the deletion or overexpression of clock genes in cartilage or chondrocytes. Understanding the functional mechanisms of different genes, the differentiation of mouse phenotypes and the prevention of joint ageing and disease will facilitate future research.

Indexed as

AgingBiological Variation, PopulationCircadian ClocksHomeostasisAnimalsCartilageHumansOsteoarthritiscartilagecircadian clockgeneosteoarthritisphenotype

Identifiers

PMID34213828
PMCPMC8358851
OpenAlexW3174058080

What Socratic 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 Socratic graph.