Circulating miR-340-5p and miR-506-3p as Two Osteo-miRNAs for Predicting Osteoporosis in a Cohort of Postmenopausal Women.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36761245", "kind": "science-record", "revision": 4, "content_hash": "sha256:494d6627eb75238a3e8f567b12490af643eac44c43e41220d29d45f2d887ea2a", "created_at": "2026-11-01T19:01:20Z", "updated_at": "2026-11-01T22:51:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Circulating miR-340-5p and miR-506-3p as Two Osteo-miRNAs for Predicting Osteoporosis in a Cohort of Postmenopausal Women.", "doi": "10.1155/2023/7571696", "pmid": "36761245", "authors": ["Zifeng Lu", "Haiou Cao", "Xiaoyin Hu"], "journal": "Journal of environmental and public health", "year": 2023, "abstract": "Objective: An increasing risk of developing osteoporosis which is characterized by bone production weakness and microarchitectural deterioration is found among postmenopausal women. MicroRNAs (miRNAs) are secreted into the circulation from cells of various tissues in response to local disease severity including bone diseases. Herein, we set out to identify candidate miRNAs predictable for osteoporosis incidence in postmenopausal elderly women.\nMethods: The circulating miRNA expression profiles deposited in the dataset accessioned as GSE201543 were downloaded from the GEO database. The study included 176 postmenopausal women who underwent BMD testing, including 96 women reporting osteoporosis and 70 women reporting normal BMD. All subjects were submitted their serum samples for measurements of bone metabolism markers.\nResults: The miRNA expression profiles of the GSE201543 dataset were differentially analyzed and found 97 miRNAs being upregulated concomitantly with 31 miRNAs being downregulated in the serum samples between osteoporotic postmenopausal women and postmenopausal women with normal BMD. Osteoporotic postmenopausal women were demonstrated with elevated serum levels of miR-340-5p and miR-506-3p when compared to normal postmenopausal women. Pearson correlation analysis demonstrated that circulating miR-340-5p and miR-506-3p expressions were increased as BAP, β-CTx, and PINP levels increased, but osteocalcin and 25-(OH)VitD levels are declined in osteoporotic postmenopausal women. Results of the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) showed circulating miR-340-5p and miR-506-3p expressions alone or combined together produced 0.843 AUC, 0.851 AUC, and 0.935 AUC, respectively, when used to predict the incidence of osteoporosis in postmenopausal women.\nConclusion: Our work suggested that circulating miR-340-5p and miR-506-3p function as osteo-miRNAs in postmenopausal women and may serve as potential noninvasive biomarkers for the incidence of osteoporosis in postmenopausal women.", "claims": [{"id": "claim-method", "statement": "Osteoporosis diagnosis using miR-340-5p and miR-506-3p alone or in combination at a baseline expression level applied the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36761245", "locator": "sections[8] \"2.6. Statistical Analysis\" paragraph 2", "quote": "Osteoporosis diagnosis using miR-340-5p and miR-506-3p alone or in combination at a baseline expression level applied the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE201543 dataset was downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo) that is a public database. Other data supporting this study are included within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36761245", "locator": "sections[15] \"Data Availability\" paragraph 2", "quote": "The GSE201543 dataset was downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo) that is a public database. Other data supporting this study are included within the article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Combined circulating miR-340-5p and miR-506-3p levels achieved an AUC of 0.935 for predicting osteoporosis in postmenopausal women, with 84.40% sensitivity and 92.90% specificity.", "kind": "quantitative", "target": {"value": 0.935, "unit": "auc", "tolerance": null, "source": "Additionally, we found a much stronger diagnostic value for the incidence of osteoporosis in postmenopausal women with an AUC of 0.935 (p < 0.001, Figure 4(c)) produced by circulating miR-340-5p and miR-506-3p levels in combination compared to a single miRNA (p < 0.01)."}, "evidence": [{"asset": "source:pmid:36761245", "locator": "sections[13] \"3.4. The Diagnostic Values of Circulating miR-340-5p and miR-506-3p in Osteoporotic Postmenopausal Women\" paragraph 2", "quote": "Additionally, we found a much stronger diagnostic value for the incidence of osteoporosis in postmenopausal women with an AUC of 0.935 (p < 0.001, Figure 4(c)) produced by circulating miR-340-5p and miR-506-3p levels in combination compared to a single miRNA (p < 0.01)."}, {"asset": "source:pmid:36761245", "locator": "sections[13] \"3.4. The Diagnostic Values of Circulating miR-340-5p and miR-506-3p in Osteoporotic Postmenopausal Women\" paragraph 2", "quote": "Circulating miR-340-5p and miR-506-3p combined together conferred 84.40% sensitivity and 92.90% specificity for osteoporotic postmenopausal women."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Combined circulating miR-340-5p and miR-506-3p levels achieved an AUC of 0.935 for predicting osteoporosis in postmenopausal women, with 84.40% sensitivity and 92.90% specificity.", "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:36761245"], "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:GSE201543"], "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:GSE201543"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36761245", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2023/7571696", "sha256": "sha256:f2d61ca9c29fd88807a737b211e2e82708821394dffbfe795aa295ef4914d3f5", "bytes": 26583, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1155/2023/7571696", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9904902", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE201543", "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=GSE201543", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE201543", "version": null, "note": "The GSE201543 dataset was downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo) that is a public database. Other data supporting this study are included within the article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The GSE201543 dataset was downloaded from the Gene Expression Omnibus database (GEO, https://www.ncbi.nlm.nih.gov/geo) that is a public database. Other data supporting this study are included within the article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM6067330", "GSM6067331", "GSM6067332", "GSM6067333", "GSM6067334", "GSM6067335", "GSM6067336", "GSM6067337", "GSM6067338", "GSM6067339"], "sample_count": 10, "group_sizes": null, "group_sizes_basis": null, "platform": "20712", "taxon": "Homo sapiens", "title": "Bone metabolism-related serum miRNAs to diagnose postmenopausal osteoporosis in middle-aged and elderly women", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE201543 not downloaded", "asset:data:geo:GSE201543 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "diagnostic_evaluation", "specific": "roc", "label": "Diagnostic test evaluation", "dsl_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["reference_standard_and_test"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Osteoporosis diagnosis using miR-340-5p and miR-506-3p alone or in combination at a baseline expression level applied the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC)."}}, {"id": "method-2", "family": "correlation_analysis", "specific": "pearson", "label": "Correlation analysis", "dsl_operations": ["pearson_r"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["paired_numeric_columns"], "evidence": {"score": 0.7, "band": "medium", "quote": "Pearson correlation"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "classification_metrics", "expected_value": 0.935, "unit": "auc", "tolerance": null, "state": "complete", "note": "The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none."}], "gaps": ["method.reader_differs_from_extractor"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["confusion_counts", "roc_curve", "sensitivity_specificity", "solve_confusion_matrix", "classification_metrics", "published_precision_envelope"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: roc."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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