Identification of MiR-223 Associated with Diagnosis in Ectopic Pregnancy.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37398511", "kind": "science-record", "revision": 5, "content_hash": "sha256:3a47231e9144048f04bca6aa1258f3f3e7248a73ddd91eb086beab729c216790", "created_at": "2026-11-01T19:02:10Z", "updated_at": "2026-11-01T22:52:15Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of MiR-223 Associated with Diagnosis in Ectopic Pregnancy.", "doi": "10.2147/IJGM.S412439", "pmid": "37398511", "authors": ["Jiahan Qiu", "Jiaxun Chen", "Gaopi Deng", "Shuo Yuan"], "journal": "International journal of general medicine", "year": 2023, "abstract": "Background: In this study, we conducted an integrated study of the diagnostic value of MiR-223 in ectopic pregnancy (EP).\nMethods: We used GSE44731 downloaded from GEO and GEO2R to identify differentially expressed miRNA. The hub genes corresponding to the differential miRNA were then identified by using the Xiantao academic tool, GO (Gene Ontology), and KEGG (Kyoto Encyclopedia of Genes and Genomes). Afterward, we used the miEAA database to perform gene set enrichment analysis (GSEA) of differential miRNA, and used Xiantao academic tools again to conduct the ceRNA network based on the target genes. Protein-protein interaction (PPI) network construction and lncRNA of hub miRNA target genes were then predicted by the starbase database. For validation, the villus tissue from intrauterine pregnancy and tubal pregnancy was collected and assayed by qPCR.\nResults: In total 19 differentially expressed miRNAs were screened out, of which MiR-223 had a relatively clear diagnostic significance. Hub genes were enriched and analyzed by GO, KEGG, and GSEA, and the results showed that regulation of NF-κB and other signaling pathways are primarily enriched in ectopic pregnancy. We also obtained 215 key genes from PPI analysis. Our ceRNA analysis indicated that LRRC75A-AS1 and PITPNA-AS1 were associated with MiR-223, and the expression of MiR-223 in qPCR was significantly high in tubal pregnancy group.\nConclusion: We found that MiR-223 can be used in the diagnosis of EP. Our findings provide valuable information and direction for future research into novel targets for EP diagnosis.", "claims": [{"id": "claim-method", "statement": "In this study, we carried out differentially expressed analysis of our dataset using GEO2R for dataset GSE44731 with default values for the options parameters. This time we use the GEOquery8 and limma9 R packages in the Bioconductor project8–10 to acquire comparisons of those processed data tables provided by the original author. In addition, we evaluated the diagnostic efficacy of DEmiRNAs. To do this we drew the ROC curve again using the Xiantao academic tool and calculated the area below the ROC curve (AUC).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37398511", "locator": "sections[4] \"Identification of Differentially Expressed miRNAs\" paragraph 3", "quote": "In this study, we carried out differentially expressed analysis of our dataset using GEO2R for dataset GSE44731 with default values for the options parameters."}, {"asset": "source:pmid:37398511", "locator": "sections[4] \"Identification of Differentially Expressed miRNAs\" paragraph 2", "quote": "This time we use the GEOquery8 and limma9 R packages in the Bioconductor project8–10 to acquire comparisons of those processed data tables provided by the original author."}, {"asset": "source:pmid:37398511", "locator": "sections[4] \"Identification of Differentially Expressed miRNAs\" paragraph 3", "quote": "In addition, we evaluated the diagnostic efficacy of DEmiRNAs."}, {"asset": "source:pmid:37398511", "locator": "sections[4] \"Identification of Differentially Expressed miRNAs\" paragraph 3", "quote": "To do this we drew the ROC curve again using the Xiantao academic tool and calculated the area below the ROC curve (AUC)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data sets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37398511", "locator": "sections[21] \"Data Availability\" paragraph 2", "quote": "The data sets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The integrated analysis showed that MiR-223 had an AUC of 0.938 for diagnosing ectopic pregnancy.", "kind": "quantitative", "target": {"value": 0.938, "unit": "auc", "tolerance": null, "source": "Currently, the research in an integrated analysis of GSE44731 dataset shows that MiR-223 has a relatively high diagnostic performance for EP, with an AUC of 0.938."}, "evidence": [{"asset": "source:pmid:37398511", "locator": "sections[18] \"Discussion\" paragraph 5", "quote": "Currently, the research in an integrated analysis of GSE44731 dataset shows that MiR-223 has a relatively high diagnostic performance for EP, with an AUC of 0.938."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The integrated analysis showed that MiR-223 had an AUC of 0.938 for diagnosing ectopic pregnancy.", "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:37398511"], "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:GSE44731"], "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:GSE44731"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37398511", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/IJGM.S412439", "sha256": "sha256:fe276b3505428da477b87025540c0a1c1c2b2c90eda2d1c322134e29badc8071", "bytes": 30682, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/IJGM.S412439", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10314770", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE44731", "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=GSE44731", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE44731", "version": null, "note": "The data sets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data sets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1089755", "GSM1089756", "GSM1089757", "GSM1089758", "GSM1089759", "GSM1089760", "GSM1089761", "GSM1089762", "GSM1089763", "GSM1089764", "GSM1089765", "GSM1089766", "GSM1089767", "GSM1089768", "GSM1089769", "GSM1089770"], "sample_count": 16, "group_sizes": null, "group_sizes_basis": null, "platform": "14767", "taxon": "Homo sapiens", "title": "Differential miRNA profiles of pregnancy tissue in ectopic pregnancies", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE44731 not downloaded", "asset:data:geo:GSE44731 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "differential_expression", "specific": "limma_voom", "label": "Differential expression analysis", "dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["count_matrix_with_condition"], "evidence": {"score": 1.0, "band": "reordered", "quote": "In this study, we carried out differentially expressed analysis of our dataset using GEO2R for dataset GSE44731 with default values for the options parameters. 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