← All .science files
pmid:38363941
Molecular characterization of allergic constitution based on network pharmacology and multi-omics analysis methods.
Pengcheng Sun · Xing Liu · Yi Wang · Rongmin Shen · Xuemei Chen · Zhuqing Li · Diankun Cui · Ji Wang · Qi Wang
Medicine · 2024 doi:10.1097/MD.0000000000036892
Paper
complete
Experiment
complete
Data
partial
Analysis
partial
Execution
absent
Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
paper object · 10 fields
authors array · 9 items
claims array · 3 items
[0] object · 6 fields
evidence array · 1 item
[0] object · 3 fields
[1] object · 6 fields
gaps array · 0 items
experiment object · 8 fields
steps array · 3 items
[0] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
parameters object · 0 fields
inputs array · 1 item
outputs array · 1 item
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
assets array · 4 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 10 items
[2] object · 15 fields
structure object · 15 fields
sample_accessions array · 12 items
[3] object · 15 fields
structure object · 15 fields
sample_accessions array · 80 items
gaps array · 6 items
analysis object · 4 fields
methods array · 3 items
[0] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
targets array · 0 items
gaps array · 1 item
capability object · 3 fields
requirements array · 1 item
[0] object · 6 fields
assay_families array · 9 items
gaps array · 0 items
readiness object · 8 fields
axes object · 3 fields
method object · 5 fields
required_operations array · 1 item
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 4 items
resolved_accessions array · 3 items
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 1 item
assets array · 2 items
steps array · 1 item
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
gaps array · 0 items
review object · 5 fields
machine_critique object · 5 fields
reader object · 5 fields
evidence_check object · 2 fields
usage object · 3 fields
stages array · 1 item
[0] object · 4 fields
gaps array · 3 items
provenance object · 7 fields
entities array · 3 items
activities array · 3 items
[0] object · 4 fields
used array · 3 items
[0] object · 3 fields
[1] object · 3 fields
[2] object · 3 fields
[1] object · 4 fields
agents array · 2 items
lineage object · 4 fields
gaps array · 11 items
assays array · 2 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 3 items
[1] object · 11 fields
required_operations array · 1 item
source_hashes object · 1 field
evidence array · 1 item
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38363941", "kind": "science-record", "revision": 2, "content_hash": "sha256:18e4a08c44e26e0d56585f5632f9a6bc44f86a3f03dc06ebac4e575da1071b66", "created_at": "2026-11-01T19:20:18Z", "updated_at": "2026-11-01T21:32:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Molecular characterization of allergic constitution based on network pharmacology and multi-omics analysis methods.", "doi": "10.1097/MD.0000000000036892", "pmid": "38363941", "authors": ["Pengcheng Sun", "Xing Liu", "Yi Wang", "Rongmin Shen", "Xuemei Chen", "Zhuqing Li", "Diankun Cui", "Ji Wang", "Qi Wang"], "journal": "Medicine", "year": 2024, "abstract": "The objective of this study was to identify critical pathways associated with allergic constitution. Shared genes among allergic rhinitis (AR), asthma (AA), and atopic dermatitis (AD) were extracted from the GWAS catalog. RNA-seq data of AR, AA, and AD from gene expression omnibus (GEO) database were preprocessed and subjected to differential gene expression analysis. The differentially expressed genes (DEGs) were merged using the Robust Rank Aggregation (RRA) algorithm. Weighted gene co-expression network analysis (WGCNA) was performed to identify modules associated with allergies. Components of Guominkang (GMK) were obtained from 6 databases and activate components were identified by SwissADME website. Utilizing the SwissTarget Prediction, PharmMapper, SymMap, and HERB, the targets of GMK were predicted and subsequently validated using gene chip data from our team previous study. Differentially expressed proteins (DEPs) related to the allergic constitution were also extracted based on a previous study. Pathway enrichment analysis was performed using KOBAS-i on the GWAS, RRA, WGCNA modules, DEPs, and GMK targets. P values from multi-omics datasets were combined by meta-analysis, and Bonferroni correction was applied. The significant pathways were further validated using Gene Set Enrichment Analysis (GSEA) with intervention data of GMK. The GWAS results yielded 172 genes. Four datasets AR1, AA1, AD1, and AD2 were acquired from GSE75011, GSE125916, and GSE184237. The RRA algorithm identified 19 upregulated and 20 downregulated genes. WGCNA identified 5 significant modules, with the blue and turquoise modules displaying a moderate correlation with allergies. By performing network pharmacology analysis, we identified 127 active ingredients of GMK and predicted 618 targets. Validation using gene chip data confirmed 107 GMK targets. Single-omics pathway analysis was conducted using KOBAS-i, and 39 significant pathways were identified across multiple omics datasets. GSEA analysis using GMK intervention data identified 11 of 39 significant pathways as the final key pathways associated with the allergic constitution. Through multi-omics integrated pathway analysis, we identified 11 critical pathways of allergic constitution, including TH1 and TH2 cell differentiation, TLR cascade, and TH17 cell differentiation. Identifying these pathways suggests that the observed alterations at the pathway level may play significant roles in the molecular characteristics of the allergic constitution.", "claims": [{"id": "claim-method", "statement": "The P values were combined using Fisher method in the meta-analysis. The merged P values (P.fisher) underwent correction by applying the Bonferroni correction, which involves multiplying the P value by the total number of tested pathways.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38363941", "locator": "sections[32] \"2.8. Integrated pathway analysis of multi-omics data\" paragraph 3", "quote": "The P values were combined using Fisher method in the meta-analysis. The merged P values (P.fisher) underwent correction by applying the Bonferroni correction, which involves multiplying the P value by the total number of tested pathways."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are publicly available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38363941", "locator": "sections[72] \"fn-group\" paragraph 1", "quote": "The datasets generated during and/or analyzed during the current study are publicly available."}], "state": "complete"}, {"id": "claim-target-result", "statement": "GSEA analysis using GMK intervention data identified 11 of 39 significant pathways as the final key pathways associated with the allergic constitution.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38363941", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "GSEA analysis using GMK intervention data identified 11 of 39 significant pathways as the final key pathways associated with the allergic constitution."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "GSEA analysis using GMK intervention data identified 11 of 39 significant pathways as the final key pathways associated with the allergic constitution.", "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:38363941"], "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:GSE125916"], "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:GSE125916"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38363941", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000036892", "sha256": "sha256:db27c88dee3888b8297bb83bbc8bd565c9fc77fdf620017bbbf2f592a61aed27", "bytes": 50347, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1097/MD.0000000000036892", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10869101", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE125916", "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=GSE125916", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE125916", "version": null, "note": "The datasets generated during and/or analyzed during the current study are publicly available.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are publicly available.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3584918", "GSM3584919", "GSM3584920", "GSM3584921", "GSM3584922", "GSM3584923", "GSM3584924", "GSM3584925", "GSM3584926", "GSM3584927"], "sample_count": 10, "group_sizes": null, "group_sizes_basis": null, "platform": "21290", "taxon": "Homo sapiens", "title": "RNA-sequencing of CD56dim NK cells from atopic dermatitis and control patients", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE184237", "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=GSE184237", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE184237", "version": null, "note": "The datasets generated during and/or analyzed during the current study are publicly available.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are publicly available.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM5582243", "GSM5582244", "GSM5582245", "GSM5582246", "GSM5582247", "GSM5582248", "GSM5582249", "GSM5582250", "GSM5582251", "GSM5582252", "GSM5582253", "GSM5582254"], "sample_count": 12, "group_sizes": null, "group_sizes_basis": null, "platform": "23227", "taxon": "Homo sapiens", "title": "Epigenetic and Transcriptional Dysregulation in T cells of patients with Atopic Dermatitis [RNA-Seq]", "resolution_checked_at": "2026-11-01T19:09:46Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE75011", "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=GSE75011", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE75011", "version": null, "note": "The datasets generated during and/or analyzed during the current study are publicly available.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets generated during and/or analyzed during the current study are publicly available.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1940649", "GSM1940650", "GSM1940651", "GSM1940652", "GSM1940653", "GSM1940654", "GSM1940655", "GSM1940656", "GSM1940657", "GSM1940658", "GSM1940659", "GSM1940660", "GSM1940661", "GSM1940662", "GSM1940663", "GSM1940664", "GSM1940665", "GSM1940666", "GSM1940667", "GSM1940668", "GSM1940669", "GSM1940670", "GSM1940671", "GSM1940672", "GSM1940673", "GSM1940674", "GSM1940675", "GSM1940676", "GSM1940677", "GSM1940678", "GSM1940679", "GSM1940680", "GSM1940681", "GSM1940682", "GSM1940683", "GSM1940684", "GSM1940685", "GSM1940686", "GSM1940687", "GSM1940688", "GSM1940689", "GSM1940690", "GSM1940691", "GSM1940692", "GSM1940693", "GSM1940694", "GSM1940695", "GSM1940696", "GSM1940697", "GSM1940698", "GSM1940699", "GSM1940700", "GSM1940701", "GSM1940702", "GSM1940703", "GSM1940704", "GSM1940705", "GSM1940706", "GSM1940707", "GSM1940708", "GSM1940709", "GSM1940710", "GSM1940711", "GSM1940712", "GSM1940713", "GSM1940714", "GSM1940715", "GSM1940716", "GSM1940717", "GSM1940718", "GSM1940719", "GSM1940720", "GSM1940721", "GSM1940722", "GSM1940723", "GSM1940724", "GSM1940725", "GSM1940726", "GSM1940727", "GSM1940728"], "sample_count": 80, "group_sizes": null, "group_sizes_basis": null, "platform": "16791", "taxon": "Homo sapiens", "title": "Transcriptional profiling of TH2 cells identifies pathogenic features associated with asthma", "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:GSE125916 not downloaded", "asset:data:geo:GSE125916 licence not read", "asset:data:geo:GSE184237 not downloaded", "asset:data:geo:GSE184237 licence not read", "asset:data:geo:GSE75011 not downloaded", "asset:data:geo:GSE75011 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "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": 0.7, "band": "medium", "quote": "Pathway enrichment"}}, {"id": "method-2", "family": "genetic_association", "specific": "gwas", "label": "Genetic association (GWAS / linkage / MR)", "dsl_operations": ["gwas_locus_scan"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["genotype_phenotype_table"], "evidence": {"score": 0.7, "band": "medium", "quote": "GWAS"}}, {"id": "method-3", "family": null, "specific": null, "label": "Fisher method in the meta-analysis, with Bonferroni correction", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The P values were combined using Fisher method in the meta-analysis. The merged P values (P.fisher) underwent correction by applying the Bonferroni correction, which involves multiplying the P value by the total number of tested pathways."}}], "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": ["pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: pathway_enrichment."}, "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": ["GSE75011", "GSE125916", "GSE184237", "GSE125916 and GSE184237"], "resolved_accessions": ["GSE75011", "GSE125916", "GSE184237"], "statements": ["The datasets generated during and/or analyzed during the current study are publicly available."], "basis": "The paper names GSE75011, GSE125916, GSE184237 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": ["pathway_enrich"], "assets": ["source:pmid:38363941", "data:geo:GSE125916"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE125916"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:09:14Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 15141, "completion_tokens": 2406, "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:38363941", "type": "paper", "label": "pmid:38363941"}, {"id": "source:pmid:38363941", "type": "manuscript", "label": "PMID 38363941 full text"}, {"id": "data:geo:GSE125916", "type": "dataset", "label": "GEO GSE125916"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:38363941", "type": "paper", "label": "pmid:38363941"}, {"id": "source:pmid:38363941", "type": "manuscript", "label": "PMID 38363941 full text"}, {"id": "data:geo:GSE125916", "type": "dataset", "label": "GEO GSE125916"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-38363941", "type": "extraction", "used": ["source:pmid:38363941"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE125916", "type": "accession_resolution", "used": ["data:geo:GSE125916"], "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:38363941", "parent_hash": "sha256:e91f194f8acf90d0ea45ff4b49636f841604aa4d3502c00d4db21375b1acb01c", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE125916 licence not read", "asset:data:geo:GSE125916 not downloaded", "asset:data:geo:GSE184237 licence not read", "asset:data:geo:GSE184237 not downloaded", "asset:data:geo:GSE75011 licence not read", "asset:data:geo:GSE75011 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["s (AD) were extracted from the GWAS catalog. RNA-seq data of AR, AA, and AD from gene expression", "yers - genomics (represented by GWAS genes), transcriptomics (represented by RRA genes, blue-hub genes, a", "g multiple omics layers, including genomics, transcriptomics, proteomics, and network pharmacology, enabl"], "order_basis": "paper_text_order:293", "id": "assay:1"}, {"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["Pathway enrichment"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}