← All .science files
pmid:39205658
Identification of NET formation and the renoprotective effect of degraded NETs in lupus nephritis.
Yong Jin · Yutong Wang · Xu Ma · Hongbin Li · Manling Zhang
American journal of physiology. Renal physiology · 2024 doi:10.1152/ajprenal.00122.2024
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 · 5 items
claims array · 3 items
[0] object · 6 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 · 3 items
[0] object · 15 fields
structure object · 4 fields
[1] object · 15 fields
structure object · 15 fields
sample_accessions array · 47 items
[2] object · 15 fields
structure object · 15 fields
sample_accessions array · 55 items
gaps array · 4 items
analysis object · 4 fields
methods array · 4 items
[0] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[1] object · 10 fields
dsl_operations array · 4 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[2] object · 10 fields
dsl_operations array · 1 item
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[3] object · 10 fields
dsl_operations array · 3 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
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 · 3 items
missing_operations array · 0 items
capability object · 4 fields
data object · 6 fields
accessions array · 2 items
resolved_accessions array · 2 items
statements array · 1 item
can_run object · 3 fields
dsl_operations array · 3 items
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 · 9 items
assays array · 5 items
[0] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 2 items
[1] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 4 items
[2] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 1 item
[3] object · 11 fields
required_operations array · 0 items
source_hashes object · 1 field
evidence array · 1 item
[4] object · 11 fields
required_operations array · 3 items
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:39205658", "kind": "science-record", "revision": 4, "content_hash": "sha256:e68cdc93aa7e5f5a8ae116727302984e721d1fcdcfebf36547f09fb3033c4f1c", "created_at": "2026-11-01T20:29:19Z", "updated_at": "2026-11-01T22:55:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of NET formation and the renoprotective effect of degraded NETs in lupus nephritis.", "doi": "10.1152/ajprenal.00122.2024", "pmid": "39205658", "authors": ["Yong Jin", "Yutong Wang", "Xu Ma", "Hongbin Li", "Manling Zhang"], "journal": "American journal of physiology. Renal physiology", "year": 2024, "abstract": "To explore molecular biomarkers associated with the pathophysiology and therapy of lupus nephritis (LN), we conducted a joint analysis of transcriptomic data from 40 peripheral blood mononuclear cells (PBMCs) (GSE81622) and 21 kidney samples (GSE112943) from the Gene Expression Omnibus database using bioinformatics. A total of 976 and 2,427 differentially expressed genes (DEGs) were identified in PBMCs and renal tissues. Seven and two functional modules closely related to LN were identified. Further enrichment analysis revealed that the neutrophil activation pathway was highly active in both PBMCs and the kidney. Subsequently, 16 core genes closely associated with LN were verified by protein-protein interaction screening and quantitative PCR. In vitro cell models and MRL/lpr mouse models confirmed that the abnormal expression of these core genes was closely linked to neutrophil extracellular traps (NETs) generated by neutrophil activation, while degradation of NETs led to downregulation of core gene expression, thereby improving pathological symptoms of LN. Therefore, identification of patients with systemic lupus erythematosus exhibiting abnormal expression patterns for these core genes may serve as a useful indicator for kidney involvement. In addition, targeting neutrophils to modulate their activation levels and inhibit aberrant expression of these genes represents a potential therapeutic strategy for treating LN. NEW & NOTEWORTHY The mechanisms by which immune cells cause kidney injury in lupus nephritis are poorly understood. We integrated and analyzed the transcriptomic features of PBMCs and renal tissues from the GEO database to identify key molecular markers associated with neutrophil activation. We confirmed that neutrophil extracellular traps (NETs) formed by neutrophil activation promoted the upregulation of key genes in cell and animal models. Targeted degradation of NETs significantly ameliorated kidney injury in MRL/lpr mice.", "claims": [{"id": "claim-method", "statement": "The limma R software package was used to screen DEGs in each dataset.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39205658", "locator": "sections[3] \"Dataset Selection, Preprocessing, and Identification of DEGs\" paragraph 3", "quote": "The limma R software package was used to screen DEGs in each dataset."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39205658", "locator": "sections[27] \"DATA AVAILABILITY\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Further enrichment analysis revealed that the neutrophil activation pathway was highly active in both PBMCs and the kidney.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39205658", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Further enrichment analysis revealed that the neutrophil activation pathway was highly active in both PBMCs and the kidney."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Further enrichment analysis revealed that the neutrophil activation pathway was highly active in both PBMCs and the kidney.", "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:39205658"], "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:GSE112943"], "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:GSE112943"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39205658", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1152/ajprenal.00122.2024", "sha256": "sha256:0f72eeef9d523549766e01e61028226090b5adf0f47b6299aed643d8b42cc411", "bytes": 76813, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1152/ajprenal.00122.2024", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11483074", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE112943", "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=GSE112943", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE112943", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3091745", "GSM3091746", "GSM3091747", "GSM3091748", "GSM3091749", "GSM3091750", "GSM3091751", "GSM3091752", "GSM3091753", "GSM3091754", "GSM3091755", "GSM3091756", "GSM3091757", "GSM3091758", "GSM3091759", "GSM3091760", "GSM3091765", "GSM3091766", "GSM3091767", "GSM3091768", "GSM3091769", "GSM3091770", "GSM3091771", "GSM3091772", "GSM3091773", "GSM3091774", "GSM3091775", "GSM3091776", "GSM3091777", "GSM3091778", "GSM3091779", "GSM3091780", "GSM3091781", "GSM3091782", "GSM3091783", "GSM3091784", "GSM3091785", "GSM3091786", "GSM3091787", "GSM3091788", "GSM3091789", "GSM3091790", "GSM3091791", "GSM3091792", "GSM3091793", "GSM3091794", "GSM3091795"], "sample_count": 47, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Genome-wide analysis of gene expression of cutaneous lupus skin samples and lupus nephritis kidney samples", "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:GSE81622", "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=GSE81622", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE81622", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2159829", "GSM2159830", "GSM2159831", "GSM2159832", "GSM2159833", "GSM2159834", "GSM2159835", "GSM2159836", "GSM2159837", "GSM2159838", "GSM2159839", "GSM2159840", "GSM2159841", "GSM2159842", "GSM2159843", "GSM2159844", "GSM2159845", "GSM2159846", "GSM2159847", "GSM2159848", "GSM2159849", "GSM2159850", "GSM2159851", "GSM2159852", "GSM2159853", "GSM2159854", "GSM2159855", "GSM2159856", "GSM2159857", "GSM2159858", "GSM2159859", "GSM2159860", "GSM2159861", "GSM2159862", "GSM2159863", "GSM2159864", "GSM2159865", "GSM2159866", "GSM2159867", "GSM2159868", "GSM2159869", "GSM2159870", "GSM2159871", "GSM2159872", "GSM2159873", "GSM2159874", "GSM2159875", "GSM2159876", "GSM2159877", "GSM2159878", "GSM2159879", "GSM2159880", "GSM2159881", "GSM2159882", "GSM2159883"], "sample_count": 55, "group_sizes": null, "group_sizes_basis": null, "platform": "10558", "taxon": "Homo sapiens", "title": "Whole genome transcription and DNA methylation analysis of peripheral blood mononuclear cells identified aberrant gene regulation pathways in systemic lupus erythematosus [expression]", "resolution_checked_at": "2026-11-01T15:39:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE112943 not downloaded", "asset:data:geo:GSE112943 licence not read", "asset:data:geo:GSE81622 not downloaded", "asset:data:geo:GSE81622 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": "verbatim", "quote": "The limma R software package was used to screen DEGs in each dataset."}}, {"id": "method-2", "family": "group_comparison", "specific": "anova", "label": "Group comparison", "dsl_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 0.8, "band": "high", "quote": "ANOVA"}}, {"id": "method-3", "family": "principal_component_analysis", "specific": "pca", "label": "Principal component analysis", "dsl_operations": ["pca_fit"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["wide_numeric_matrix"], "evidence": {"score": 0.8, "band": "high", "quote": "principal component analysis"}}, {"id": "method-4", "family": "network_analysis", "specific": "ppi_network", "label": "Network / pathway analysis", "dsl_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["edge_list"], "evidence": {"score": 0.7, "band": "medium", "quote": "protein-protein interaction"}}], "targets": [], "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": ["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": ["GSE81622", "GSE112943"], "resolved_accessions": ["GSE81622", "GSE112943"], "statements": ["The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author."], "basis": "The paper names GSE81622, GSE112943 in Gene Expression Omnibus (GEO) database 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:39205658", "data:geo:GSE112943"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE112943"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:29:43Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 21657, "completion_tokens": 1653, "cached_tokens": 256}}, "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:39205658", "type": "paper", "label": "pmid:39205658"}, {"id": "source:pmid:39205658", "type": "manuscript", "label": "PMID 39205658 full text"}, {"id": "data:geo:GSE112943", "type": "dataset", "label": "GEO GSE112943"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39205658", "type": "paper", "label": "pmid:39205658"}, {"id": "source:pmid:39205658", "type": "manuscript", "label": "PMID 39205658 full text"}, {"id": "data:geo:GSE112943", "type": "dataset", "label": "GEO GSE112943"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39205658", "type": "extraction", "used": ["source:pmid:39205658"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE112943", "type": "accession_resolution", "used": ["data:geo:GSE112943"], "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:39205658", "parent_hash": "sha256:e085ba7653622d40396c506d57d469f499d375d6d019de8bb06a47142d21740c", "fork_of": null, "generation": 3}, "gaps": ["asset:data:geo:GSE112943 licence not read", "asset:data:geo:GSE112943 not downloaded", "asset:data:geo:GSE81622 licence not read", "asset:data:geo:GSE81622 not downloaded", "execution.not_run", "method.reader_differs_from_extractor", "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": 0.93, "evidence": ["ritis (LN), we conducted a joint analysis of transcriptomic data from 40 peripheral blood mononuclear ce", "y understood. We integrated and analyzed the transcriptomic features of PBMCs and renal tissues from the"], "order_basis": "paper_text_order:192", "id": "assay:1"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tative PCR. In vitro cell models and MRL/lpr mouse models confirmed that the abnormal expressio", "ical (Beijing, China). A total of 20 MRL/lpr mice were used for this study. In addition, 15 C57BL/6", "sed for this study. In addition, 15 C57BL/6J mice were included as a control group. MRL/lpr mice we", "ce were included as a control group. MRL/lpr mice were randomly divided into model groups at 13 wk,"], "order_basis": "paper_text_order:840", "id": "assay:2"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["entification of DEGs in Patients With LN All microarray datasets were subjected to standardization a"], "order_basis": "paper_text_order:4829", "id": "assay:3"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": [", as shown in Fig. 4C. Subsequently, we used qPCR to validate the expression of these core gen"], "order_basis": "paper_text_order:9698", "id": "assay:4"}, {"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": 1.0, "evidence": ["The limma R software package was used to screen DEGs in each dataset."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}