{"data":{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36440001", "kind": "science-record", "revision": 3, "content_hash": "sha256:eaea8e8e2371072a18d27761ec09f76dd91d1025e2b70a503bc37e25f652386c", "created_at": "2026-11-01T19:00:55Z", "updated_at": "2026-11-01T22:08:11Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and exploration of novel M2 macrophage-related biomarkers in the development of acute myocardial infarction.", "doi": "10.3389/fcvm.2022.974353", "pmid": "36440001", "authors": ["Qiaoyu Zhou", "Guogang Zhang", "Zhaoya Liu", "Jiayi Zhang", "Ruizheng Shi"], "journal": "Frontiers in cardiovascular medicine", "year": 2022, "abstract": "Background: Acute myocardial infarction (AMI), one of the most severe and fatal cardiovascular diseases, is a major cause of morbidity and mortality worldwide. Macrophages play a critical role in ventricular remodeling after AMI. The regulatory mechanisms of the AMI progression remain unclear. This study aimed to identify hub regulators of macrophage-related modules and provide translational experiments with potential therapeutic targets.\nMaterials and methods: The GSE59867 dataset was downloaded from the Gene Expression Omnibus (GEO) database for bioinformatics analysis. The expression patterns of 22 types of immune cells were determined using CIBERSORT. GEO2R was used to identify differentially expressed genes (DEGs) through the limma package. Then, DEGs were clustered into different modules, and relationships between modules and macrophage types were analyzed using weighted gene correlation network analysis (WGCNA). Further functional enrichment analysis was performed using significantly associated modules. The module most significantly associated with M2 macrophages (Mϕ2) was chosen for subsequent analysis. Co-expressed DEGs of AMI were identified in the GSE123342 and GSE97320 datasets and module candidate hub genes. Additionally, hub gene identification was performed in GSE62646 dataset and clinical samples.\nResults: A total of 8,760 DEGs were identified and clustered into ten modules using WGCNA analysis. The blue and turquoise modules were significantly related to Mϕ2, and 482 hub genes were discerned from two hub modules that conformed to module membership values > 0.8 and gene significance values > 0.25. Subsequent analysis using a Venn diagram assessed 631 DEGs in GSE123342, 1457 DEGs in GSE97320, and module candidate hub genes for their relationship with Mϕ2 in the progression of AMI. Finally, four hub genes (CSF2RB, colony stimulating factor 2 receptor subunit beta; SIGLEC9, sialic acid-binding immunoglobulin-like lectin 9; LRRC25, leucine-rich repeat containing 25; and CSF3R, colony-stimulating factor-3 receptor) were validated to be differentially expressed and to have high diagnostic value in both GSE62646 and clinical samples.\nConclusion: Using comprehensive bioinformatics analysis, we identified four novel genes that may play crucial roles in the pathophysiological mechanism of AMI. This study provides novel insights into the impact of macrophages on the progression of AMI and directions for Mϕ2-targeted molecular therapies for AMI.", "claims": [{"id": "claim-method", "statement": "Then, DEGs were clustered into different modules, and relationships between modules and macrophage types were analyzed using weighted gene correlation network analysis (WGCNA).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36440001", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Then, DEGs were clustered into different modules, and relationships between modules and macrophage types were analyzed using weighted gene correlation network analysis (WGCNA)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36440001", "locator": "sections[20] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Four Mϕ2-related hub genes—CSF2RB, SIGLEC9, LRRC25, and CSF3R—were identified and validated as differentially expressed with high diagnostic value for acute myocardial infarction.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36440001", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Finally, four hub genes (CSF2RB, colony stimulating factor 2 receptor subunit beta; SIGLEC9, sialic acid-binding immunoglobulin-like lectin 9; LRRC25, leucine-rich repeat containing 25; and CSF3R, colony-stimulating factor-3 receptor) were validated to be differentially expressed and to have high diagnostic value in both GSE62646 and clinical samples."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Four Mϕ2-related hub genes—CSF2RB, SIGLEC9, LRRC25, and CSF3R—were identified and validated as differentially expressed with high diagnostic value for acute myocardial infarction.", "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:36440001"], "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:GSE123342"], "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:GSE123342"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36440001", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fcvm.2022.974353", "sha256": "sha256:61a283cfe3a6217a6d93f2892c3b7e02d506d7b9aa6221346a19337c96439b0d", "bytes": 36260, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fcvm.2022.974353", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9685672", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE123342", "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=GSE123342", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE123342", "version": null, "note": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3501241", "GSM3501242", "GSM3501243", "GSM3501244", "GSM3501245", "GSM3501246", "GSM3501247", "GSM3501248", "GSM3501249", "GSM3501250", "GSM3501251", "GSM3501252", "GSM3501253", "GSM3501254", "GSM3501255", "GSM3501256", "GSM3501257", "GSM3501258", "GSM3501259", "GSM3501260", "GSM3501261", "GSM3501262", "GSM3501263", "GSM3501264", "GSM3501265", "GSM3501266", "GSM3501267", "GSM3501268", "GSM3501269", "GSM3501270", "GSM3501271", "GSM3501272", "GSM3501273", "GSM3501274", "GSM3501275", "GSM3501276", "GSM3501277", "GSM3501278", "GSM3501279", "GSM3501280", "GSM3501281", "GSM3501282", "GSM3501283", "GSM3501284", "GSM3501285", "GSM3501286", "GSM3501287", "GSM3501288", "GSM3501289", "GSM3501290", "GSM3501291", "GSM3501292", "GSM3501293", "GSM3501294", "GSM3501295", "GSM3501296", "GSM3501297", "GSM3501298", "GSM3501299", "GSM3501300", "GSM3501301", "GSM3501302", "GSM3501303", "GSM3501304", "GSM3501305", "GSM3501306", "GSM3501307", "GSM3501308", "GSM3501309", "GSM3501310", "GSM3501311", "GSM3501312", "GSM3501313", "GSM3501314", "GSM3501315", "GSM3501316", "GSM3501317", "GSM3501318", "GSM3501319", "GSM3501320", "GSM3501321", "GSM3501322", "GSM3501323", "GSM3501324", "GSM3501325", "GSM3501326", "GSM3501327", "GSM3501328", "GSM3501329", "GSM3501330", "GSM3501331", "GSM3501332", "GSM3501333", "GSM3501334", "GSM3501335", "GSM3501336", "GSM3501337", "GSM3501338", "GSM3501339", "GSM3501340", "GSM3501341", "GSM3501342", "GSM3501343", "GSM3501344", "GSM3501345", "GSM3501346", "GSM3501347", "GSM3501348", "GSM3501349", "GSM3501350", "GSM3501351", "GSM3501352", "GSM3501353", "GSM3501354", "GSM3501355", "GSM3501356", "GSM3501357", "GSM3501358", "GSM3501359", "GSM3501360", "GSM3501361", "GSM3501362", "GSM3501363", "GSM3501364", "GSM3501365", "GSM3501366", "GSM3501367", "GSM3501368", "GSM3501369", "GSM3501370", "GSM3501371", "GSM3501372", "GSM3501373", "GSM3501374", "GSM3501375", "GSM3501376", "GSM3501377", "GSM3501378", "GSM3501379", "GSM3501380", "GSM3501381", "GSM3501382", "GSM3501383", "GSM3501384", "GSM3501385", "GSM3501386", "GSM3501387", "GSM3501388", "GSM3501389", "GSM3501390", "GSM3501391", "GSM3501392", "GSM3501393", "GSM3501394", "GSM3501395", "GSM3501396", "GSM3501397", "GSM3501398", "GSM3501399", "GSM3501400", "GSM3501401", "GSM3501402", "GSM3501403", "GSM3501404", "GSM3501405", "GSM3501406", "GSM3501407", "GSM3501408", "GSM3501409", "GSM3501410", "GSM3501411", "GSM3501412", "GSM3501413", "GSM3501414", "GSM3501415", "GSM3501416", "GSM3501417", "GSM3501418", "GSM3501419", "GSM3501420", "GSM3501421", "GSM3501422", "GSM3501423", "GSM3501424", "GSM3501425", "GSM3501426", "GSM3501427", "GSM3501428", "GSM3501429", "GSM3501430", "GSM3501431", "GSM3501432"], "sample_count": 192, "group_sizes": null, "group_sizes_basis": null, "platform": "17586", "taxon": "Homo sapiens", "title": "Peripheral blood whole transcriptome in patients with acute myocardial infarction and at follow-up", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE59867", "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=GSE59867", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE59867", "version": null, "note": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1448335", "GSM1448336", "GSM1448337", "GSM1448338", "GSM1448339", "GSM1448340", "GSM1448341", "GSM1448342", "GSM1448343", "GSM1448344", "GSM1448345", "GSM1448346", "GSM1448347", "GSM1448348", "GSM1448349", "GSM1448350", "GSM1448351", "GSM1448352", "GSM1448353", "GSM1448354", "GSM1448355", "GSM1448356", "GSM1448357", "GSM1448358", "GSM1448359", "GSM1448360", "GSM1448361", "GSM1448362", "GSM1448363", "GSM1448364", "GSM1448365", "GSM1448366", "GSM1448367", "GSM1448368", "GSM1448369", "GSM1448370", "GSM1448371", "GSM1448372", "GSM1448373", "GSM1448374", "GSM1448375", "GSM1448376", "GSM1448377", "GSM1448378", "GSM1448379", "GSM1448380", "GSM1448381", "GSM1448382", "GSM1448383", "GSM1448384", "GSM1448385", "GSM1448386", "GSM1448387", "GSM1448388", "GSM1448389", "GSM1448390", "GSM1448391", "GSM1448392", "GSM1448393", "GSM1448394", "GSM1448395", "GSM1448396", "GSM1448397", "GSM1448398", "GSM1448399", "GSM1448400", "GSM1448401", "GSM1448402", "GSM1448403", "GSM1448404", "GSM1448405", "GSM1448406", "GSM1448407", "GSM1448408", "GSM1448409", "GSM1448410", "GSM1448411", "GSM1448412", "GSM1448413", "GSM1448414", "GSM1448415", "GSM1448416", "GSM1448417", "GSM1448418", "GSM1448419", "GSM1448420", "GSM1448421", "GSM1448422", "GSM1448423", "GSM1448424", "GSM1448425", "GSM1448426", "GSM1448427", "GSM1448428", "GSM1448429", "GSM1448430", "GSM1448431", "GSM1448432", "GSM1448433", "GSM1448434", "GSM1448435", "GSM1448436", "GSM1448437", "GSM1448438", "GSM1448439", "GSM1448440", "GSM1448441", "GSM1448442", "GSM1448443", "GSM1448444", "GSM1448445", "GSM1448446", "GSM1448447", "GSM1448448", "GSM1448449", "GSM1448450", "GSM1448451", "GSM1448452", "GSM1448453", "GSM1448454", "GSM1448455", "GSM1448456", "GSM1448457", "GSM1448458", "GSM1448459", "GSM1448460", "GSM1448461", "GSM1448462", "GSM1448463", "GSM1448464", "GSM1448465", "GSM1448466", "GSM1448467", "GSM1448468", "GSM1448469", "GSM1448470", "GSM1448471", "GSM1448472", "GSM1448473", "GSM1448474", "GSM1448475", "GSM1448476", "GSM1448477", "GSM1448478", "GSM1448479", "GSM1448480", "GSM1448481", "GSM1448482", "GSM1448483", "GSM1448484", "GSM1448485", "GSM1448486", "GSM1448487", "GSM1448488", "GSM1448489", "GSM1448490", "GSM1448491", "GSM1448492", "GSM1448493", "GSM1448494", "GSM1448495", "GSM1448496", "GSM1448497", "GSM1448498", "GSM1448499", "GSM1448500", "GSM1448501", "GSM1448502", "GSM1448503", "GSM1448504", "GSM1448505", "GSM1448506", "GSM1448507", "GSM1448508", "GSM1448509", "GSM1448510", "GSM1448511", "GSM1448512", "GSM1448513", "GSM1448514", "GSM1448515", "GSM1448516", "GSM1448517", "GSM1448518", "GSM1448519", "GSM1448520", "GSM1448521", "GSM1448522", "GSM1448523", "GSM1448524", "GSM1448525", "GSM1448526", "GSM1448527", "GSM1448528", "GSM1448529", "GSM1448530", "GSM1448531", "GSM1448532", "GSM1448533", "GSM1448534", "GSM1448535", "GSM1448536", "GSM1448537", "GSM1448538", "GSM1448539", "GSM1448540", "GSM1448541", "GSM1448542", "GSM1448543", "GSM1448544", "GSM1448545", "GSM1448546", "GSM1448547", "GSM1448548", "GSM1448549", "GSM1448550", "GSM1448551", "GSM1448552", "GSM1448553", "GSM1448554", "GSM1448555", "GSM1448556", "GSM1448557", "GSM1448558", "GSM1448559", "GSM1448560", "GSM1448561", "GSM1448562", "GSM1448563", "GSM1448564", "GSM1448565", "GSM1448566", "GSM1448567", "GSM1448568", "GSM1448569", "GSM1448570", "GSM1448571", "GSM1448572", "GSM1448573", "GSM1448574", "GSM1448575", "GSM1448576", "GSM1448577", "GSM1448578", "GSM1448579", "GSM1448580", "GSM1448581", "GSM1448582", "GSM1448583", "GSM1448584", "GSM1448585", "GSM1448586", "GSM1448587", "GSM1448588", "GSM1448589", "GSM1448590", "GSM1448591", "GSM1448592", "GSM1448593", "GSM1448594", "GSM1448595", "GSM1448596", "GSM1448597", "GSM1448598", "GSM1448599", "GSM1448600", "GSM1448601", "GSM1448602", "GSM1448603", "GSM1448604", "GSM1448605", "GSM1448606", "GSM1448607", "GSM1448608", "GSM1448609", "GSM1448610", "GSM1448611", "GSM1448612", "GSM1448613", "GSM1448614", "GSM1448615", "GSM1448616", "GSM1448617", "GSM1448618", "GSM1448619", "GSM1448620", "GSM1448621", "GSM1448622", "GSM1448623", "GSM1448624", "GSM1448625", "GSM1448626", "GSM1448627", "GSM1448628", "GSM1448629", "GSM1448630", "GSM1448631", "GSM1448632", "GSM1448633", "GSM1448634", "GSM1448635", "GSM1448636", "GSM1448637", "GSM1448638", "GSM1448639", "GSM1448640", "GSM1448641", "GSM1448642", "GSM1448643", "GSM1448644", "GSM1448645", "GSM1448646", "GSM1448647", "GSM1448648", "GSM1448649", "GSM1448650", "GSM1448651", "GSM1448652", "GSM1448653", "GSM1448654", "GSM1448655", "GSM1448656", "GSM1448657", "GSM1448658", "GSM1448659", "GSM1448660", "GSM1448661", "GSM1448662", "GSM1448663", "GSM1448664", "GSM1448665", "GSM1448666", "GSM1448667", "GSM1448668", "GSM1448669", "GSM1448670", "GSM1448671", "GSM1448672", "GSM1448673", "GSM1448674", "GSM1448675", "GSM1448676", "GSM1448677", "GSM1448678", "GSM1448679", "GSM1448680", "GSM1448681", "GSM1448682", "GSM1448683", "GSM1448684", "GSM1448685", "GSM1448686", "GSM1448687", "GSM1448688", "GSM1448689", "GSM1448690", "GSM1448691", "GSM1448692", "GSM1448693", "GSM1448694", "GSM1448695", "GSM1448696", "GSM1448697", "GSM1448698", "GSM1448699", "GSM1448700", "GSM1448701", "GSM1448702", "GSM1448703", "GSM1448704", "GSM1448705", "GSM1448706", "GSM1448707", "GSM1448708", "GSM1448709", "GSM1448710", "GSM1448711", "GSM1448712", "GSM1448713", "GSM1448714", "GSM1448715", "GSM1448716", "GSM1448717", "GSM1448718", "GSM1448719", "GSM1448720", "GSM1448721", "GSM1448722", "GSM1448723", "GSM1448724", "GSM1620759", "GSM1620760", "GSM1620761", "GSM1620762", "GSM1620763", "GSM1620764", "GSM1620765", "GSM1620766", "GSM1620767", "GSM1620768", "GSM1620769", "GSM1620770", "GSM1620771", "GSM1620772", "GSM1620773", "GSM1620774", "GSM1620775", "GSM1620776", "GSM1620777", "GSM1620778", "GSM1620779", "GSM1620780", "GSM1620781", "GSM1620782", "GSM1620783", "GSM1620784", "GSM1620785", "GSM1620786", "GSM1620787", "GSM1620788", "GSM1620789", "GSM1620790", "GSM1620791", "GSM1620792", "GSM1620793", "GSM1620794", "GSM1620795", "GSM1620796", "GSM1620797", "GSM1620798", "GSM1620799", "GSM1620800", "GSM1620801", "GSM1620802", "GSM1620803", "GSM1620804"], "sample_count": 436, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE62646", "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=GSE62646", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE62646", "version": null, "note": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1530765", "GSM1530766", "GSM1530767", "GSM1530768", "GSM1530769", "GSM1530770", "GSM1530771", "GSM1530772", "GSM1530773", "GSM1530774", "GSM1530775", "GSM1530776", "GSM1530777", "GSM1530778", "GSM1530779", "GSM1530780", "GSM1530781", "GSM1530782", "GSM1530783", "GSM1530784", "GSM1530785", "GSM1530786", "GSM1530787", "GSM1530788", "GSM1530789", "GSM1530790", "GSM1530791", "GSM1530792", "GSM1530793", "GSM1530794", "GSM1530795", "GSM1530796", "GSM1530797", "GSM1530798", "GSM1530799", "GSM1530800", "GSM1530801", "GSM1530802", "GSM1530803", "GSM1530804", "GSM1530805", "GSM1530806", "GSM1530807", "GSM1530808", "GSM1530809", "GSM1530810", "GSM1530811", "GSM1530812", "GSM1530813", "GSM1530814", "GSM1530815", "GSM1530816", "GSM1530817", "GSM1530818", "GSM1530819", "GSM1530820", "GSM1530821", "GSM1530822", "GSM1530823", "GSM1530824", "GSM1530825", "GSM1530826", "GSM1530827", "GSM1530828", "GSM1530829", "GSM1530830", "GSM1530831", "GSM1530832", "GSM1530833", "GSM1530834", "GSM1530835", "GSM1530836", "GSM1530837", "GSM1530838", "GSM1530839", "GSM1530840", "GSM1530841", "GSM1530842", "GSM1530843", "GSM1530844", "GSM1530845", "GSM1530846", "GSM1530847", "GSM1530848", "GSM1530849", "GSM1530850", "GSM1530851", "GSM1530852", "GSM1530853", "GSM1530854", "GSM1530855", "GSM1530856", "GSM1530857", "GSM1530858", "GSM1530859", "GSM1530860", "GSM1530861", "GSM1530862"], "sample_count": 98, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Altered gene expression pattern in peripheral blood mononuclear cells in patients with acute myocardial infarction", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE97320", "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=GSE97320", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE97320", "version": null, "note": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2561549", "GSM2561550", "GSM2561551", "GSM2561552", "GSM2561553", "GSM2561554"], "sample_count": 6, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction", "resolution_checked_at": "2026-11-01T18:06:44Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE123342 not downloaded", "asset:data:geo:GSE123342 licence not read", "asset:data:geo:GSE59867 not downloaded", "asset:data:geo:GSE59867 licence not read", "asset:data:geo:GSE62646 not downloaded", "asset:data:geo:GSE62646 licence not read", "asset:data:geo:GSE97320 not downloaded", "asset:data:geo:GSE97320 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": 0.7, "band": "medium", "quote": "limma"}}, {"id": "method-2", "family": "clustering", "specific": "hierarchical", "label": "Clustering", "dsl_operations": ["hierarchical_cluster"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["feature_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "hierarchical clustering"}}, {"id": "method-3", "family": "network_analysis", "specific": "pathway_enrichment", "label": "Network / pathway analysis", "dsl_operations": ["pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.8, "band": "high", "quote": "pathway enrichment"}}, {"id": "method-4", "family": null, "specific": null, "label": "Weighted gene correlation network analysis (WGCNA)", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Then, DEGs were clustered into different modules, and relationships between modules and macrophage types were analyzed using weighted gene correlation network analysis (WGCNA)."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "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": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE59867", "GSE123342", "GSE97320", "GSE62646"], "resolved_accessions": ["GSE59867", "GSE123342", "GSE97320", "GSE62646"], "statements": ["The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s."], "basis": "The paper names GSE59867, GSE123342, GSE97320, GSE62646 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "assets": ["source:pmid:36440001", "data:geo:GSE123342"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE123342"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:17:20Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 10254, "completion_tokens": 2133, "cached_tokens": 264}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:36440001", "type": "paper", "label": "pmid:36440001"}, {"id": "source:pmid:36440001", "type": "manuscript", "label": "PMID 36440001 full text"}, {"id": "data:geo:GSE123342", "type": "dataset", "label": "GEO GSE123342"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:36440001", "type": "paper", "label": "pmid:36440001"}, {"id": "source:pmid:36440001", "type": "manuscript", "label": "PMID 36440001 full text"}, {"id": "data:geo:GSE123342", "type": "dataset", "label": "GEO GSE123342"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-36440001", "type": "extraction", "used": ["source:pmid:36440001"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE123342", "type": "accession_resolution", "used": ["data:geo:GSE123342"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:36440001", "parent_hash": "sha256:96461959931f0c5080c5767fa6cc710683b8bd264364d4c91158476949cce4b1", "fork_of": null, "generation": 2}, "gaps": ["asset:data:geo:GSE123342 licence not read", "asset:data:geo:GSE123342 not downloaded", "asset:data:geo:GSE59867 licence not read", "asset:data:geo:GSE59867 not downloaded", "asset:data:geo:GSE62646 licence not read", "asset:data:geo:GSE62646 not downloaded", "asset:data:geo:GSE97320 licence not read", "asset:data:geo:GSE97320 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "clinical_cohort", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.85, "evidence": ["Table 3, 8,760 DEGs were identified between patients with AMI and SCAD, according to an adjusted p-val"], "order_basis": "paper_text_order:3486", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["limma"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]},"meta":{"api_version":"v1","automation_ladder_snapshot":"ba34b49490d9bfaf","automation_ladder_caveats":["Method extraction is rule-based and has no hand-judged accuracy sample. Evidence bands order textual support; method agreement intervals are null (n=0), never probabilities. Work-type validation does not validate methods.","Operation coverage describes only explicitly named methods. It does not prove a complete protocol, compatible parameters, successful compilation or re-execution. Unrecognised or ambiguous methods require review.","Data reachability is a textual accession or public-data statement. No dataset was downloaded or checked for access, completeness or licence.","Capabilities are planning states seeded from the dated equipment register. No bench ownership, completed quote or partner booking is inferred. Procurement counts are dependencies, not guaranteed replications or financial returns.","Tier and blocker counts are deterministic assessments of this corpus, not measured agreement. R3 is reserved for procurement; unresolved methods and data require human work (R4). The most restrictive axis wins, with capability, method, data as tie-breaks. Resolving one blocker can leave another at the same tier."],"engine":"corpus_engine","engine_provider":"rule_based_v1+lex99e1195c7d6f","run_id":"run-20261023T122449232913","source":"esearch","source_detail":"PubMed mirror biomed_pubmed (read-only)","run_status":"complete","imported_at":"2026-11-03T20:16:52+00:00","generated_at":"2026-11-04T02:38:37+00:00","total_papers":5529,"total_assays_tracked":29,"automatable_assay_families":6,"validated":true,"caveat_count":9,"blocking_caveats":5,"caveats":[{"code":"low_evidence_dominates","basis":["4,152 of 5,529 classifications (75.1%) matched no cue evidence and sit at the 0.05 floor.","34 of 230 data_only calls (14.8%) are in that group."],"claim":"Work type and confidence bands","gloss":"Most records were classified from their title and framing alone, with assay-cue coverage at zero.","detail":"Most classifications in this run rest on no matched evidence at all. At the evidence floor the work type comes from title framing and a fixed prior, not from anything in the paper, so the published work-type split should be read as a rough triage signal rather than a measured distribution. The impact is bounded but not removed: since 2026-10-23 the engine excludes floor-confidence records from the shortlist entirely and publishes them separately as held out, so the recommendation is unaffected even though the census is.","status":"unverified","severity":"high"},{"code":"runtime_is_modelled","basis":["Runtime is summed from published per-assay hour figures. Timing awaits the first executed replication.","4,407 of 5,529 records (79.7%) model to 0.00 hours because no assay was matched, which the ranking then reads as \"cheapest\".","0 of 10 shortlisted records carry a 0.00-hour estimate."],"claim":"Estimated replication runtime","gloss":"The hour figures are estimates built from assay mentions; timing awaits the first executed replication.","detail":"The hour figures are a cost model derived from the bench steps implied by each matched assay family. The first executed replication will supply measured timing. Records without an assay match currently receive a zero-hour model value.","status":"unverified","severity":"high"},{"code":"signal_score_without_citations","basis":["5,529 of 5,529 records (100.0%) have no citation count from the source metadata."],"claim":"Signal score","gloss":"The signal score uses publication-type weight because the mirror supplied zero citation counts.","detail":"The source supplied no citation counts for any record in this run, so the signal score is publication-type weight only. The citation term of the ranking is inert here, and the shortlist is ordered by publication type alone.","status":"unverified","severity":"high"},{"code":"abstract_absent","basis":["1,667 of 5,529 records (30.2%) carry no abstract at all."],"claim":"Evidence base for classification","gloss":"Some records contain a title and publication type only, defining the available classification evidence.","detail":"Where the mirror contains a title and publication types only, those fields define the classifier evidence. A methods section is required for fuller automated and human review.","status":"unverified","severity":"medium"},{"code":"classifier_agreement_measured","basis":["Published two-way decision agreement 77.7% (310 of 399 decidable records) from a stratified hand-check of 438 real records.","Three-way diagnostic agreement 73.9% (288 of 390 decidable records).","data_only agreement 75.2% (100 of 133 decidable).","48 record(s) could not be decided from title and abstract and were excluded from the denominator.","56 analysis-only records were published under another work type, so the data_only share is not an upper bound."],"claim":"Published automatable decision","gloss":"This figure has been checked against a human reading the same papers, so we know how often it is right.","detail":"The published automatable / not-automatable distribution comes from a rule-based classifier that was hand-checked against a fixed ground-truth definition. The agreement rates below are measured, not estimated. The three-way work type remains a diagnostic and is reported separately.","status":"measured","severity":"high"},{"code":"llm_comparison_not_measured","basis":["rule_based_v1+lex99e1195c7d6f produced 5,529 of 5,529 classifications.","Measured on 438 labelled records; these are RULE-BASED figures, not model results."],"claim":"Rule-based versus LLM agreement","gloss":"Every number here is the rule engine’s own. Model comparison begins when a working API credential is connected and measured.","detail":"The published two-way decision agreed with a human reading on 310 of 399 decidable records (77.7%). The diagnostic three-way label agreed on 288 of 390 decidable records (73.9%). Every percentage in this run belongs to the rule engine. Model comparison begins when a working API credential is connected and measured.","status":"not_measured","severity":"high"},{"code":"confidence_is_a_band","basis":["low band: 135 of 210 hand-judged records were correct, 64.3% [57.6, 70.5] (95% CI).","medium band: 80 of 104 hand-judged records were correct, 76.9% [68.0, 84.0] (95% CI).","high band: 73 of 76 hand-judged records were correct, 96.0% [89.0, 98.7] (95% CI).","A fitted calibrated probability was built, measured and withdrawn: it overstated held-out accuracy and reorders nothing."],"claim":"Confidence band and evidence score","gloss":"The confidence band carries a measured accuracy interval; 0.85 represents relative rank strength.","detail":"Confidence on this run is a BAND plus its measured accuracy interval. The number stored alongside each record is a monotone evidence score that orders records; 0.85 represents relative rank strength. A fitted probability was withdrawn after it overstated held-out accuracy. Threshold on the band.","status":"measured","severity":"medium"},{"code":"three_way_split_is_diagnostic","basis":["The corpus is published at the two-way decision: automatable or not-automatable. The three-way split (data_only / physical / mixed) is published as a diagnostic with its measured reliability attached, not as a claim, because the rule engine's `mixed` call cannot be defended.","The engine called 22 record(s) mixed; 10 matched the human judgement (45.5%, 95% CI 26.9-65.3).","The engine's `mixed` call is right on 10/22 hand-judged records (45.5%, 95% CI 26.9%-65.3%); a constant `physical` guess scores 36.4%.","The engine's `mixed` call does not reliably beat a constant `physical` guess on the hand-judged records it labels mixed.","The sign of that difference flips between two independent samples, so the three-way refinement is not demonstrably informative.","The mixed stratum contributes a disproportionate share of errors relative to its size.","At title-only depth the physical/mixed split collapses: a title says that work was done, not whether it was also analysed."],"claim":"The published decision is two-way","gloss":"The three-way split is shown for diagnosis only. The published split is two ways.","detail":"Count and filter the corpus on automatable versus not-automatable. The data_only / physical / mixed split remains an internal engine diagnostic because the mixed call has lower measured reliability.","status":"measured","severity":"medium"},{"code":"automatable_flag_unproven","basis":["6 of 29 assay families are marked automatable now: meta_analysis, machine_learning, survival_analysis, pca, molecular_docking, differential_expression.","The flag is a rule over assay family and work type; validation begins with the first executed replication.","It inherits the 75.2% data_only agreement rate, because the flag requires the record to be analysis-only."],"claim":"Automatable now","gloss":"This flag marks assay families the rules classify as data-only. The first executed replication will validate it.","detail":"This flag marks families the rules consider replicable from data alone. Its validity depends on the analysis-only classification and will be measured through an executed replication.","status":"unverified","severity":"medium"}],"confidence_policy":"band_with_measured_interval","confidence_contract":{"policy":"band_with_measured_interval","summary":"Confidence is reported as a BAND with a measured accuracy interval. The raw evidence score supplies monotone ordering. A fitted point estimate was withdrawn after it overstated held-out accuracy.","evidence_score":"A monotone evidence score in [0,1] built from cue mass, axis separation and text coverage. Use it to order records. Interpret 0.85 as relative rank strength.","confidence_band":"low | medium | high. Consumers threshold on this value.","band_accuracy":"Wilson 95% interval on the measured agreement of the hand-judged records in this band.","calibrated_confidence":"WITHDRAWN. Reintroduction requires held-out evidence demonstrating reliable estimates across every bin."},"band_accuracy":{"low":{"n":210,"low":0.576,"band":"low","high":0.7046,"agree":135,"accuracy":0.6429},"high":{"n":76,"low":0.8903,"band":"high","high":0.9865,"agree":73,"accuracy":0.9605},"medium":{"n":104,"low":0.6795,"band":"medium","high":0.8397,"agree":80,"accuracy":0.7692}},"provider":"rule_based_v1+lex99e1195c7d6f","lexicon_id":"99e1195c7d6f","contract_published_at":"2026-10-23T12:25:29.022232+00:00","confidence_is_band":true,"confidence_is_probability":false,"decision_taxonomy":"two_way","decidable_fraction_two_way":0.8854,"decidable_fraction_two_way_low":0.8565,"decidable_fraction_two_way_high":0.9143,"decidable_fraction_three_way":0.8586,"decidable_fraction_three_way_low":0.8287,"decidable_fraction_three_way_high":0.8884,"decidable_population":5529,"validation_sample_size":438,"three_way_cost_fraction":0.0268,"three_way_cost_records":148,"decision_counts":{"automatable":230,"not_automatable":5299},"decision_split":{"automatable":{"count":230,"share":0.04159884246699222},"not_automatable":{"count":5299,"share":0.9584011575330078}},"diagnostic_work_type_counts":{"mixed":24,"physical":5275,"data_only":230}}}