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pmid:40722799

Neuropilin-1: A Conserved Entry Receptor for SARS-CoV-2 and a Potential Therapeutic Target.

Vivany Maydel Sierra-Sánchez · Citlali Margarita Blancas-Napoles · Aina Daniela Sánchez-Maldonado · Indira Medina · Rodrigo Romero-Nava · Fengyang Huang · Enrique Hong · Asdrúbal Aguilera-Méndez · Sergio Adrian Ocampo-Ortega · Santiago Villafaña

Biomedicines · 2025 doi:10.3390/biomedicines13071730

Paper

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Experiment

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Data

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Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
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title
Neuropilin-1: A Conserved Entry Receptor for SARS-CoV-2 and a Potential Therapeutic Target.
doi
10.3390/biomedicines13071730
pmid
40722799
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[0]
Vivany Maydel Sierra-Sánchez
[1]
Citlali Margarita Blancas-Napoles
[2]
Aina Daniela Sánchez-Maldonado
[3]
Indira Medina
[4]
Rodrigo Romero-Nava
[5]
Fengyang Huang
[6]
Enrique Hong
[7]
Asdrúbal Aguilera-Méndez
[8]
Sergio Adrian Ocampo-Ortega
[9]
Santiago Villafaña
journal
Biomedicines
year
2025
abstract
Background/Objectives: Neuropilin-1 (NRP1) is a key co-receptor for SARS-CoV-2, complementing the ACE2 receptor. Several investigations have documented highly conserved sequences in this receptor, supporting the implication of NRP1 as a key mediator in SARS-CoV-2 cellular entry mechanisms. Methods: To investigate this hypothesis, we examined 104,737 SARS-CoV-2 genome fastas from GISAID genomic data, corresponding to isolates collected between 2020 and 2025 in Mexico. Specifically, we focused on the RRAR motif, a known furin-binding site for NRP-1 and the binding site for ACE2 with the spike protein. Our analysis revealed high conservation (>98%) of the RRAR domain compared to a rapidly diminishing ACE2-binding domain. A complementary analysis, using Data from Gene Expression Omnibus (GEO, GSE150316), showed that NRP1 expression in lung tissue remains relatively stable, whereas ACE2 displayed high inter-individual variability and lower abundance compared to NRP1. Based on this evidence, we designed two humans-rats NRP1 siRNAs that were tested in vivo using a melittin-induced lung injury model. Results: The RT-PCR assays confirmed an effective NRP1 knockdown, and the siRNA-treated group showed a significant reduction in the lesions severity. These findings highlight NRP1 as a stable and relevant therapeutic target and suggest the protective potential of siRNA-mediated gene silencing. Conclusions: The evidence presented here supports the rational design of NRP1-directed therapies for multiple circulating SARS-CoV-2 variants in Mexico.
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In addition, paired Wilcoxon signed-rank tests were conducted to compare the expression levels of NRP1 and ACE2 within the same samples, stratified by group (control or COVID-19).
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In addition, paired Wilcoxon signed-rank tests were conducted to compare the expression levels of NRP1 and ACE2 within the same samples, stratified by group (control or COVID-19).
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The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article.
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The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article.
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The NRP1-targeting siRNAs significantly reduced NRP1 expression in both lungs and significantly reduced melittin-induced lung injury compared with melittin alone.
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sections[19] "3.6. Evaluation of the Effect of siRNA Administration in a Melittin-Induced Lung Injury Model" paragraph 4
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The administered siRNAs exerted a protective effect on lung tissue, as the extent of injury following melittin administration was significantly lower in the siRNA-treated groups compared to the control group.
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The NRP1-targeting siRNAs significantly reduced NRP1 expression in both lungs and significantly reduced melittin-induced lung injury compared with melittin alone.
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two humans-rats NRP1 siRNAs that were tested in vivo using a melittin-induced lung injury model.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40722799", "kind": "science-record", "revision": 3, "content_hash": "sha256:b0cb529b6f3097390e9eec14964adaa5a4a894bb19a7adce25e6bddb2511dcbc", "created_at": "2026-11-01T20:30:49Z", "updated_at": "2026-11-01T22:14:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Neuropilin-1: A Conserved Entry Receptor for SARS-CoV-2 and a Potential Therapeutic Target.", "doi": "10.3390/biomedicines13071730", "pmid": "40722799", "authors": ["Vivany Maydel Sierra-Sánchez", "Citlali Margarita Blancas-Napoles", "Aina Daniela Sánchez-Maldonado", "Indira Medina", "Rodrigo Romero-Nava", "Fengyang Huang", "Enrique Hong", "Asdrúbal Aguilera-Méndez", "Sergio Adrian Ocampo-Ortega", "Santiago Villafaña"], "journal": "Biomedicines", "year": 2025, "abstract": "Background/Objectives: Neuropilin-1 (NRP1) is a key co-receptor for SARS-CoV-2, complementing the ACE2 receptor. Several investigations have documented highly conserved sequences in this receptor, supporting the implication of NRP1 as a key mediator in SARS-CoV-2 cellular entry mechanisms. Methods: To investigate this hypothesis, we examined 104,737 SARS-CoV-2 genome fastas from GISAID genomic data, corresponding to isolates collected between 2020 and 2025 in Mexico. Specifically, we focused on the RRAR motif, a known furin-binding site for NRP-1 and the binding site for ACE2 with the spike protein. Our analysis revealed high conservation (>98%) of the RRAR domain compared to a rapidly diminishing ACE2-binding domain. A complementary analysis, using Data from Gene Expression Omnibus (GEO, GSE150316), showed that NRP1 expression in lung tissue remains relatively stable, whereas ACE2 displayed high inter-individual variability and lower abundance compared to NRP1. Based on this evidence, we designed two humans-rats NRP1 siRNAs that were tested in vivo using a melittin-induced lung injury model. Results: The RT-PCR assays confirmed an effective NRP1 knockdown, and the siRNA-treated group showed a significant reduction in the lesions severity. These findings highlight NRP1 as a stable and relevant therapeutic target and suggest the protective potential of siRNA-mediated gene silencing. Conclusions: The evidence presented here supports the rational design of NRP1-directed therapies for multiple circulating SARS-CoV-2 variants in Mexico.", "claims": [{"id": "claim-method", "statement": "In addition, paired Wilcoxon signed-rank tests were conducted to compare the expression levels of NRP1 and ACE2 within the same samples, stratified by group (control or COVID-19).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40722799", "locator": "sections[10] \"2.8. Statistical Analysis\" paragraph 2", "quote": "In addition, paired Wilcoxon signed-rank tests were conducted to compare the expression levels of NRP1 and ACE2 within the same samples, stratified by group (control or COVID-19)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40722799", "locator": "sections[25] \"Data Availability Statement\" paragraph 2", "quote": "The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The NRP1-targeting siRNAs significantly reduced NRP1 expression in both lungs and significantly reduced melittin-induced lung injury compared with melittin alone.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "This difference was statistically significant (p < 0.05)."}, "evidence": [{"asset": "source:pmid:40722799", "locator": "sections[19] \"3.6. Evaluation of the Effect of siRNA Administration in a Melittin-Induced Lung Injury Model\" paragraph 4", "quote": "The administered siRNAs exerted a protective effect on lung tissue, as the extent of injury following melittin administration was significantly lower in the siRNA-treated groups compared to the control group."}, {"asset": "source:pmid:40722799", "locator": "sections[19] \"3.6. Evaluation of the Effect of siRNA Administration in a Melittin-Induced Lung Injury Model\" paragraph 5", "quote": "This difference was statistically significant (p < 0.05)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The NRP1-targeting siRNAs significantly reduced NRP1 expression in both lungs and significantly reduced melittin-induced lung injury compared with melittin alone.", "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:40722799"], "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:GSE150316"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE150316"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40722799", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/biomedicines13071730", "sha256": "sha256:0d7a8084f32dad7c6ae23121a1d4223c025fe8c361d01ad417abe350c970bca2", "bytes": 57801, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/biomedicines13071730", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12292943", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE150316", "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=GSE150316", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE150316", "version": null, "note": "The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4546576", "GSM4546577", "GSM4546578", "GSM4546579", "GSM4546580", "GSM4546581", "GSM4546582", "GSM4546583", "GSM4546584", "GSM4546585", "GSM4546586", "GSM4546587", "GSM4546588", "GSM4546589", "GSM4546590", "GSM4546591", "GSM4546592", "GSM4546593", "GSM4546594", "GSM4546595", "GSM4546596", "GSM4546597", "GSM4546598", "GSM4546599", "GSM4546600", "GSM4546601", "GSM4546602", "GSM4546603", "GSM4546604", "GSM4546605", "GSM4546606", "GSM4546607", "GSM4546608", "GSM4546609", "GSM4546610", "GSM4546611", "GSM4546612", "GSM4698520", "GSM4698521", "GSM4698522", "GSM4698523", "GSM4698524", "GSM4698525", "GSM4698526", "GSM4698527", "GSM4698528", "GSM4698529", "GSM4698530", "GSM4698531", "GSM4698532", "GSM4698533", "GSM4698534", "GSM4698535", "GSM4698536", "GSM4698537", "GSM4698538", "GSM4698539", "GSM4698540", "GSM4698541", "GSM4698542", "GSM4698543", "GSM4698544", "GSM4698545", "GSM4698546", "GSM4698547", "GSM4698548", "GSM4698549", "GSM4698550", "GSM4698551", "GSM4698552", "GSM4698553", "GSM4698554", "GSM4698555", "GSM4698556", "GSM4698557", "GSM4698558", "GSM4698559", "GSM4698560", "GSM4698561", "GSM4698562", "GSM4698563", "GSM4698564", "GSM4698565", "GSM4698566", "GSM4698567", "GSM4698568", "GSM4698569", "GSM4698570"], "sample_count": 88, "group_sizes": null, "group_sizes_basis": null, "platform": "18573;15520", "taxon": "Homo sapiens", "title": "Spectrum of Viral Load and Host Response Seen in Autopsies of SARS-CoV-2 Infected Lungs", "resolution_checked_at": "2026-11-01T18:06:43Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE150316 not downloaded", "asset:data:geo:GSE150316 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "group_comparison", "specific": "wilcoxon", "label": "Group comparison", "dsl_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "expressible": false, "parameters": {}, "data_shapes": ["two_or_more_groups_continuous"], "evidence": {"score": 1.0, "band": "verbatim", "quote": "In addition, paired Wilcoxon signed-rank tests were conducted to compare the expression levels of NRP1 and ACE2 within the same samples, stratified by group (control or COVID-19)."}}, {"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": "analysis of variance"}}, {"id": "method-3", "family": "differential_expression", "specific": "deseq2", "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": 0.8, "band": "high", "quote": "DESeq2"}}], "targets": [{"id": "target-published-estimate", "claim_id": "claim-target-result", "operation": "bootstrap_mean_difference", "expected_value": 0.05, "unit": "p-value", "tolerance": null, "state": "complete", "note": "The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold."}], "gaps": ["method.group_comparison_wilcoxon"]}, "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": false, "required_operations": [], "missing_operations": ["group_comparison_wilcoxon"], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: wilcoxon."}, "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": ["GSE150316"], "resolved_accessions": ["GSE150316"], "statements": ["The original data used and analyzed in this study are available in public databases. SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/). Gene expression data were obtained from the GEO repository under accession number GSE150316 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE150316 (accessed on 4 July 2025)). Additionally, COVID-19 data from the Mexican national CONACYT repository (https://datos.covid-19.conacyt.mx/#DownZCSV (accessed on 4 July 2025)) were used. All additional data generated or analyzed during this study are included in this published article."], "basis": "The paper names GSE150316 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. 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