Evidence map›Paper›PMID 36398240›Full record

ArticleAmerican journal of translational research2022

Correlation of synovial tissue protein abundance with menopause in osteoarthritis.

Xiao Yang, Zhe Fu, Qiuyu Ren, Shuang Wang, Shuai Yin, Jun Liu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Xiao YangGraduate School of Tianjin Medical University Tianjin, China.
Zhe FuGraduate School of Tianjin Medical University Tianjin, China.
Qiuyu RenDepartment of Orthopaedics, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital Chengdu, Sichuan, China.
Shuang WangDepartment of Orthopaedics, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital Chengdu, Sichuan, China.
Shuai YinGraduate School of Tianjin Medical University Tianjin, China.
Jun LiuGraduate School of Tianjin Medical University Tianjin, China.
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNTianjin Hospital · CNCangzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a common articular disorder. Epidemiologic surveys show a higher prevalence of OA in women than men and that morbidity is higher during menopause. We aimed to explore whether menopause influences the clinical recovery of a knee joint following OA and injury, and identify associated mechanisms by analyzing the proteomic profile of synovial tissue (ST) samples.

methodsRoutine blood examination and hormone level tests were conducted before surgery. ST samples from eight participants were collected intraoperatively for proteomic analysis. One day before and one month after the surgery, we assessed various aspects of function in the affected knee including the with Visual Analog Score (VAS), Lysholm, The Western Ontario, and McMaster Universities Osteoarthritis Index (WOMAC) scores. The relationships between proteomic data, estrogen levels, and affected knee function were compared and analyzed. This was a retrospective study.

resultMenopause was associated with the clinical outcomes of knee OA and knee injuries. ST proteomic data identified that 80 proteins in premenopausal OA females were significantly different from menopausal OA females. In addition, 100 proteins were significantly different between premenopausal OA females and premenopausal injured females.

conclusionsAge and menopause showed a positive correlation with the protein profile of ST from OA or knee injury female patients, indicating that the protein components might be affected by menopause. Postoperative clinical outcomes were affected by menopause. We conclude that menopause may, in part, regulate knee joint function by altering ST protein expression.

Indexed as

menopause femaleosteoarthritisProteomesynovial tissues

Identifiers

PMID36398240
PMCPMC9641427
OpenAlexW4309411833

What OpenQuestion holds

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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.