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pmid:36419937

WDR43 is a potential diagnostic biomarker and therapeutic target for osteoarthritis complicated with Parkinson's disease.

Hongquan Heng · Jie Liu · Mingwei Hu · Dazhuang Li · Wenxing Su · Jian Li

Frontiers in cellular neuroscience · 2022 doi:10.3389/fncel.2022.1013745

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36419937
kind
science-record
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:00:53Z
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2026-11-01T22:08:08Z
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paper object · 10 fields
state
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title
WDR43 is a potential diagnostic biomarker and therapeutic target for osteoarthritis complicated with Parkinson's disease.
doi
10.3389/fncel.2022.1013745
pmid
36419937
authors array · 6 items
[0]
Hongquan Heng
[1]
Jie Liu
[2]
Mingwei Hu
[3]
Dazhuang Li
[4]
Wenxing Su
[5]
Jian Li
journal
Frontiers in cellular neuroscience
year
2022
abstract
Osteoarthritis (OA) and Parkinson's disease (PD) are on the rise and greatly impact the quality of individuals' lives. Although accumulating evidence indicates a relationship between OA and PD, the particular interactions connecting the two diseases have not been thoroughly examined. Therefore, this study explored the association through genetic characterization and functional enrichment. Four datasets (GSE55235, GSE12021, GSE7621, and GSE42966) were chosen for assessment and validation from the Gene Expression Omnibus (GEO) database. Weighted Gene Co-Expression Network Analysis (WGCNA) was implemented to determine the most relevant genes for clinical features. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were carried out to explore the biological processes of common genes, and to display the interrelationships between common genes, the STRING database and the application Molecular Complex Detection Algorithm (MCODE) of Cytoscape software were leveraged to get hub genes. By intersecting the common genes with the differentially expressed genes (DEGs) acquired from GSE12021 and GSE42966, the hub genes were identified. Finally, we validated the diagnostic efficacy of hub genes and explored their correlation with 22 immune infiltrating cells. As a consequence, we discovered 71 common genes, most of which were functionally enriched in antigen processing and presentation, mitochondrial translation, the mRNA surveillance pathway, and nucleocytoplasmic transport. Furthermore, WDR43 was found by intersecting eight hub genes with 28 DEGs from the two validation datasets. Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD. Immune infiltration research revealed that T-cell regulatory (Tregs), monocytes, and mast cells resting were associated with the pathogenesis of OA and PD. WDR43 may provide key insights into the relationship between OA and PD.
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We applied WGCNA to discover gene modules co-expressed in OA and PD datasets.
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sections[13] "Identification of co-expression gene modules" paragraph 2
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We applied WGCNA to discover gene modules co-expressed in OA and PD datasets.
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sections[22] "Data Availability Statement" paragraph 2
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The datasets presented in this study can be found in online repositories. The names of the repository and accession numbers can be found in the article.
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Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD.
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Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD.
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Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD.
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Identification of inter-individual and gene-specific variances in mRNA expression profiles in the RA SM
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Transcriptional and interactome network analyses of Substantia Nigra in progressive stages of Parkinson’s disease
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Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation
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The datasets presented in this study can be found in online repositories. The names of the repository and accession numbers can be found in the article.
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Expression data of substantia nigra from postmortem human brain of Parkinson's disease patients (PD)
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assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36419937", "kind": "science-record", "revision": 3, "content_hash": "sha256:519b776ddef2ed392dd721b325eb360cb9b332131a3588064749059bf83656ad", "created_at": "2026-11-01T19:00:53Z", "updated_at": "2026-11-01T22:08:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "WDR43 is a potential diagnostic biomarker and therapeutic target for osteoarthritis complicated with Parkinson's disease.", "doi": "10.3389/fncel.2022.1013745", "pmid": "36419937", "authors": ["Hongquan Heng", "Jie Liu", "Mingwei Hu", "Dazhuang Li", "Wenxing Su", "Jian Li"], "journal": "Frontiers in cellular neuroscience", "year": 2022, "abstract": "Osteoarthritis (OA) and Parkinson's disease (PD) are on the rise and greatly impact the quality of individuals' lives. Although accumulating evidence indicates a relationship between OA and PD, the particular interactions connecting the two diseases have not been thoroughly examined. Therefore, this study explored the association through genetic characterization and functional enrichment. Four datasets (GSE55235, GSE12021, GSE7621, and GSE42966) were chosen for assessment and validation from the Gene Expression Omnibus (GEO) database. Weighted Gene Co-Expression Network Analysis (WGCNA) was implemented to determine the most relevant genes for clinical features. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were carried out to explore the biological processes of common genes, and to display the interrelationships between common genes, the STRING database and the application Molecular Complex Detection Algorithm (MCODE) of Cytoscape software were leveraged to get hub genes. By intersecting the common genes with the differentially expressed genes (DEGs) acquired from GSE12021 and GSE42966, the hub genes were identified. Finally, we validated the diagnostic efficacy of hub genes and explored their correlation with 22 immune infiltrating cells. As a consequence, we discovered 71 common genes, most of which were functionally enriched in antigen processing and presentation, mitochondrial translation, the mRNA surveillance pathway, and nucleocytoplasmic transport. Furthermore, WDR43 was found by intersecting eight hub genes with 28 DEGs from the two validation datasets. Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD. Immune infiltration research revealed that T-cell regulatory (Tregs), monocytes, and mast cells resting were associated with the pathogenesis of OA and PD. WDR43 may provide key insights into the relationship between OA and PD.", "claims": [{"id": "claim-method", "statement": "We applied WGCNA to discover gene modules co-expressed in OA and PD datasets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36419937", "locator": "sections[13] \"Identification of co-expression gene modules\" paragraph 2", "quote": "We applied WGCNA to discover gene modules co-expressed in OA and PD datasets."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository and accession numbers can be found in the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36419937", "locator": "sections[22] \"Data Availability Statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository and accession numbers can be found in the article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36419937", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Receiver Operating Characteristic (ROC) implied the diagnostic role of WDR43 in OA and PD.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36419937"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE12021"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE12021"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36419937", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fncel.2022.1013745", "sha256": "sha256:8d8ac6844881d78d404c375ca31b6918c625b9b39292ea6b4fd625e4b3f8e068", "bytes": 30696, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fncel.2022.1013745", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9677099", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE12021", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE12021", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE12021", "version": null, "note": "The datasets presented in this study can be found in online repositories. The names of the repository and accession numbers can be found in the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets presented in this study can be found in online repositories. 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