Evidence map›Paper›PMID 40593932›Full record

ArticleScientific data2025

Sexually Dimorphic Profiling of Osteoarthritis: A Comprehensive Metabolomic Dataset.

Yuhan Zhang, Yonghui Jiang, Qixian Jia, Gengchen Feng, Ziyi Yang, Wei Zhang

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Yuhan Zhang *Department of Orthopaedics, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Yonghui Jiang *Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China.
Qixian JiaDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Gengchen FengDepartment of Orthopaedics, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Ziyi YangDepartment of Orthopaedics, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.ORCID 0000-0002-4138-5598
Wei ZhangDepartment of Orthopaedics, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China. weizhang80s@126.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82201798Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) ZR2024QH245, ZR2021QH082
6 · The paper itself

Abstract

Osteoarthritis (OA) is a chronic disease characterized by high morbidity, affecting multiple body systems and associated with systemic metabolic disorders. The clinical features of OA exhibit significant sexual dimorphism. However, the specific metabolic characteristics underlying this difference remain incompletely understood, with a notable lack of molecular risk factors related to OA. In this study, we established a cohort of 60 OA cases comprising different genders. Employing liquid chromatography-tandem mass spectrometry (LC-MS/MS), we performed untargeted metabolomics analyses on synovial membrane, synovial fluid, urine, and serum samples, obtained simultaneously from each patient. Following rigorous quality control, we successfully constructed and annotated a metabolic profile of OA encompassing multiple sample types. This dataset provides a foundation for further investigation into the impact of sex on OA at metabolic level. Additionally, these findings are expected to enhance the study of potential sex-related biomarkers in OA and offer novel insights into clinical gender-specific management strategies.

Indexed as

MetabolomeOsteoarthritisSex CharacteristicsAgedBiomarkersChromatography, LiquidFemaleHumansMaleMetabolomicsMiddle AgedSynovial FluidSynovial MembraneTandem Mass SpectrometryBiomarkers

Identifiers

PMID40593932
PMCPMC12219417

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.