Identification of key gene contributing to vitiligo by immune infiltration.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35535201", "kind": "science-record", "revision": 4, "content_hash": "sha256:3fdd511ea1bf4d4435ce014e5be7b1c8058b200b91a766c41996933d95e21bdc", "created_at": "2026-11-01T18:14:25Z", "updated_at": "2026-11-01T22:06:29Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "partial", "title": "Identification of key gene contributing to vitiligo by immune infiltration.", "doi": null, "pmid": "35535201", "authors": ["Hefang Xiao", "Yonghui Dong", "Likang Xiao", "Xiaming Liang", "Jia Zheng"], "journal": "International journal of clinical and experimental pathology", "year": 2022, "abstract": "BACKGROUND: A deeper understanding of new prognostic and diagnostic biomarkers for vitiligo, an autoimmune disease, is needed. The purpose of this study is to identify the underlying long noncoding RNAs (lncRNAs) and immune infiltration related to the cause of vitiligo.\nMETHODS: The microarray data (GSE75819) were available to be downloaded from NCBI-GEO. Eight hub genes were identified from the Protein-protein interaction (PPI) network by the dissection of differentially expressed genes (DEG), Kyoto Gene and Genomic Encyclopedia (KEGG) expansion pathway, and Gene Ontology (GO). Further analysis based on the immune infiltration as well as the correlation between DEGs and immune cells was performed. Our conclusions were verified by using the GSE534 eventually.\nRESULTS: According to our analysis, we obtained a total of 666 DEGs and 8 hub genes that include ECT2, CCT8, VRK1, UQCRH, EBNA1BP2, CRY2, IFIH1, and BCCIP, which may play an important role in vitiligo. Moreover, the immune infiltration profiles varied significantly between normal and vitiligo tissues. Compared with normal tissues, vitiligo tissues contained a greater proportion of mast cells (P<0.05). The analysis revealed that T cells regulatory (Tregs) have a negative correlation with the VRK1 expression (R=-0:77, P<0.001), whereas the mast cells resting have a positive correlation with the VRK1 expression (R=0:72, P<0.001) in vitiligo.\nCONCLUSION: The gene expression profile of vitiligo was realized by a bioinformatics method. The expressions of 8 hub genes and 22 immune cells were found, as the same as CRY2 and VRK1 have a special correlation with immune cells, which may be a significant cause of the pathogenesis of vitiligo. This provides a new idea for the diagnosis and treatment of vitiligo.", "claims": [{"id": "claim-method", "statement": "Further analysis based on the immune infiltration as well as the correlation between DEGs and immune cells was performed.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35535201", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Further analysis based on the immune infiltration as well as the correlation between DEGs and immune cells was performed."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray data (GSE75819) were available to be downloaded from NCBI-GEO.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35535201", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The microarray data (GSE75819) were available to be downloaded from NCBI-GEO."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The analysis revealed that T cells regulatory (Tregs) have a negative correlation with the VRK1 expression (R=-0:77, P<0.001), whereas the mast cells resting have a positive correlation with the VRK1 expression (R=0:72, P<0.001) in vitiligo.", "kind": "quantitative", "target": {"value": -0.0, "unit": "correlation coefficient", "tolerance": null, "source": "The analysis revealed that T cells regulatory (Tregs) have a negative correlation with the VRK1 expression (R=-0:77, P<0.001), whereas the mast cells resting have a positive correlation with the VRK1 expression (R=0:72, P<0.001) in vitiligo."}, "evidence": [{"asset": "source:pmid:35535201", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The analysis revealed that T cells regulatory (Tregs) have a negative correlation with the VRK1 expression (R=-0:77, P<0.001), whereas the mast cells resting have a positive correlation with the VRK1 expression (R=0:72, P<0.001) in vitiligo."}], "state": "complete"}], "gaps": ["doi"]}, "experiment": {"state": "complete", "objective": "The analysis revealed that T cells regulatory (Tregs) have a negative correlation with the VRK1 expression (R=-0:77, P<0.001), whereas the mast cells resting have a positive correlation with the VRK1 expression (R=0:72, P<0.001) in vitiligo.", "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:35535201"], "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. 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