Evidence map›Paper›PMID 37749624›Full record

ArticleArthritis research & therapy2023

Identification of candidate genes and chemicals associated with osteoarthritis by transcriptome-wide association study and chemical-gene interaction analysis.

Lin Mei, Zhiming Zhang, Ruiqi Chen, Zhongyue Liu, Xiaolei Ren, Zhihong Li

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Bisphenol A disrupts cartilage homeostasis through CYP2C19.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  7. Article
  8. Genetic polymorphisms ofBiomarkers in medicine · 2024
    Article
  9. Article
  10. 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

6 authors at 1 institution in 1 country.

Lin MeiDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Zhiming ZhangDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Ruiqi ChenDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Zhongyue LiuDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Xiaolei RenDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Zhihong LiDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China. lizhihong@csu.edu.cn.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a common degenerative joint disease and causes chronic pain and disability to the elderly. Several risk factors are involved, such as aging, obesity, genetic susceptibility, and environmental factors. We conducted a transcriptome-wide association study (TWAS) and chemical-related gene set enrichment analysis (CGSEA) to investigate the susceptibility genes and environmental factors.

methodsTWAS analysis was conducted to identify the susceptibility genes by integrating the summary-level genome-wide association study data of knee OA (KOA) and hip OA (HOA) with the precomputed expression weights from the Genotype-Tissue Expression Project (Version 8). The FUSION software was used for both single-tissue and cross-tissue TWAS, which were combined using an aggregate Cauchy association test. The biological function and pathways of the TWAS genes were explored using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) databases, and the human cartilage mRNA expression profiles were utilized to validate the TWAS genes. CGSEA analysis was performed to scan the OA-associated chemicals by integrating the TWAS results with the chemical-related gene sets.

resultsThere were 44 and 93 unique TWAS genes identified in 7 and 11 chromosomes for KOA and HOA, respectively, fourteen and four of which showed significantly differential expression in the mRNA profiles, such as CRHR1, LTBP1, WWP2, LMX1B, and PTHLH. OA-related pathways were found in the KEGG and GO analysis, such as TGF-beta signaling pathway, MAPK signaling pathway, hyaluronan metabolic process, and chondrocyte differentiation. Forty-five OA-associated chemicals were identified, including quercetin, bisphenol A, and cadmium chloride.

conclusionsSeveral candidate OA-associated genes and chemicals were identified through TWAS and CGSEA analysis, which expanded our understanding of the relationship between genes, chemicals, and their impact on OA.

Indexed as

OsteoarthritisTranscriptomeAgedCell DifferentiationGene Expression ProfilingGenome-Wide Association StudyHumansUbiquitin-Protein LigasesUbiquitin-Protein LigasesWWP2 protein, humanCGSEAGWASOsteoarthritisTWAS

Identifiers

PMID37749624
PMCPMC10518935
OpenAlexW4387023902

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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.