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pmid:40093958

Supplementation of Glucosamine Selenium Ameliorates DSS-Induced Chronic Colitis in Mice via Affecting Gut Microbiota, Inhibiting Pyroptosis and Inactivating Chemokine Signaling Pathway.

Tingting Zhao · Zhiyue Wen · Li Cui

Journal of inflammation research · 2025 doi:10.2147/JIR.S486751

Paper

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Experiment

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Data

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Analysis

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title
Supplementation of Glucosamine Selenium Ameliorates DSS-Induced Chronic Colitis in Mice via Affecting Gut Microbiota, Inhibiting Pyroptosis and Inactivating Chemokine Signaling Pathway.
doi
10.2147/JIR.S486751
pmid
40093958
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Tingting Zhao
[1]
Zhiyue Wen
[2]
Li Cui
journal
Journal of inflammation research
year
2025
abstract
Introduction: Ulcerative colitis (UC) is a chronic disease that requires pharmacological therapy to achieve remission. This study aimed to evaluate the effect of glucosamine selenium (GASe) on chronic colitis and reveal the underlying regulatory mechanisms. Methods: We evaluated the cumulative toxicity of GASe by gavage in mice for 40 days. Dextran sulfate sodium (DSS; 2.5%) was added to drinking water to induce chronic colitis, and GASe was administered to mice with chronic DSS colitis. 16S rRNA sequencing was performed to investigate the influence of GASe on gut microbiota, followed by diversity and LDA Effect Size (LEfSe) analyses. Differentially expressed genes (DEGs) associated with chronic DSS colitis were identified based on the expression profiling from the Gene Expression Omnibus (GEO) database and were subjected to functional enrichment analysis. Next, the effects of GASe on pyroptosis and chemokine signaling pathways were studied in vitro and in vivo. Results: GASe had no significant toxicity in mice, and administration of low-GASe and high-GASe increased the length of the colon, inhibited the expression of IL-12, IL-6, and TNF-α, and improved colonic tissue structure. Low-GASe improved the diversity of the gut microbiota and mainly affected the Burkholderiaceae family, Paenalcaligenes genus, and Erysipelatoclostridium genus. Low-GASe and high-GASe suppressed the pyroptosis-related proteins NLRP3, GSDMD, and caspase-1. Furthermore, we identified 114 DEGs from the GSE87466 and GSE53306 datasets and these DEGs were mainly enriched in the chemokine signaling pathway and some inflammatory pathways. Further experiments showed that administration of GASe inhibited the chemokine signaling pathway in chronic DSS colitis mice and NCM460 cells. Discussion: This study reveals abnormalities in the gut microbiota, pyroptosis, and chemokine signaling pathways involved in chronic colitis and may provide GASe as an alternative supplement for chronic colitis management.
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GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to identify DEGs between healthy samples and UC samples with p <0.05, and |log2FoldChange| ≥1.5 (UC).
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sections[13] "Identification of Differential Expressed Genes (DEGs) and Functional Enrichment Analysis" paragraph 2
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GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to identify DEGs between healthy samples and UC samples with p <0.05, and |log2FoldChange| ≥1.5 (UC).
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Furthermore, 114 co-DEGs were subjected to KEGG enrichment analysis. These DEGs were mainly enriched in the IL-17 signaling pathway, cytokine and cytokine receptor interaction, TNF signaling pathway, and chemokine signaling pathway (Figure 7C and D).
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Differential Gene Expression between Active and Quiescent Stages of Ulcerative Colitis: Insights into a Distinctive Pathogenesis Profile
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nium Ameliorates DSS-Induced Chronic Colitis in Mice via Affecting Gut Microbiota, Inhibiting Pyr
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signaling pathways were studied in vitro and in vivo. Results: GASe had no significant toxicity i
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ed the cumulative toxicity of GASe by gavage in mice for 40 days. Dextran sulfate sodium (DSS; 2.
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ministered to mice with chronic DSS colitis. 16S rRNA sequencing was performed to investigate the
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g, China). The V3–V4 variable regions of the 16S rRNA genes were amplified using TransStart Fastpf
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yroptosis-related proteins NLRP3, GSDMD, and caspase-1. Furthermore, we identified 114 DEGs from
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f2132e96ae6c7a4e
required_operations array · 4 items
[0]
group_summary
[1]
welch_t
[2]
bootstrap_mean_difference
[3]
group_comparison_anova
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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analysis of variance
order_basis
consumes_earlier_output
id
assay:5
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40093958", "kind": "science-record", "revision": 3, "content_hash": "sha256:d77d1f02b921a326a2b4221ec0b0316efbf793414bc9dff4a61ad63efc1a8b93", "created_at": "2026-11-01T20:30:18Z", "updated_at": "2026-11-01T22:13:46Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Supplementation of Glucosamine Selenium Ameliorates DSS-Induced Chronic Colitis in Mice via Affecting Gut Microbiota, Inhibiting Pyroptosis and Inactivating Chemokine Signaling Pathway.", "doi": "10.2147/JIR.S486751", "pmid": "40093958", "authors": ["Tingting Zhao", "Zhiyue Wen", "Li Cui"], "journal": "Journal of inflammation research", "year": 2025, "abstract": "Introduction: Ulcerative colitis (UC) is a chronic disease that requires pharmacological therapy to achieve remission. This study aimed to evaluate the effect of glucosamine selenium (GASe) on chronic colitis and reveal the underlying regulatory mechanisms.\nMethods: We evaluated the cumulative toxicity of GASe by gavage in mice for 40 days. Dextran sulfate sodium (DSS; 2.5%) was added to drinking water to induce chronic colitis, and GASe was administered to mice with chronic DSS colitis. 16S rRNA sequencing was performed to investigate the influence of GASe on gut microbiota, followed by diversity and LDA Effect Size (LEfSe) analyses. Differentially expressed genes (DEGs) associated with chronic DSS colitis were identified based on the expression profiling from the Gene Expression Omnibus (GEO) database and were subjected to functional enrichment analysis. Next, the effects of GASe on pyroptosis and chemokine signaling pathways were studied in vitro and in vivo.\nResults: GASe had no significant toxicity in mice, and administration of low-GASe and high-GASe increased the length of the colon, inhibited the expression of IL-12, IL-6, and TNF-α, and improved colonic tissue structure. Low-GASe improved the diversity of the gut microbiota and mainly affected the Burkholderiaceae family, Paenalcaligenes genus, and Erysipelatoclostridium genus. Low-GASe and high-GASe suppressed the pyroptosis-related proteins NLRP3, GSDMD, and caspase-1. Furthermore, we identified 114 DEGs from the GSE87466 and GSE53306 datasets and these DEGs were mainly enriched in the chemokine signaling pathway and some inflammatory pathways. Further experiments showed that administration of GASe inhibited the chemokine signaling pathway in chronic DSS colitis mice and NCM460 cells.\nDiscussion: This study reveals abnormalities in the gut microbiota, pyroptosis, and chemokine signaling pathways involved in chronic colitis and may provide GASe as an alternative supplement for chronic colitis management.", "claims": [{"id": "claim-method", "statement": "GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to identify DEGs between healthy samples and UC samples with p <0.05, and |log2FoldChange| ≥1.5 (UC).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40093958", "locator": "sections[13] \"Identification of Differential Expressed Genes (DEGs) and Functional Enrichment Analysis\" paragraph 2", "quote": "GEO2R (https://www.ncbi.nlm.nih.gov/geo/geo2r/) was used to identify DEGs between healthy samples and UC samples with p <0.05, and |log2FoldChange| ≥1.5 (UC)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40093958", "locator": "sections[32] \"Data Sharing Statement\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 114 co-DEGs were identified at the intersection of the GSE87466 and GSE53306 datasets (Figure 7B).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40093958", "locator": "sections[27] \"Identification of DEGs and Functional Enrichment Analysis\" paragraph 2", "quote": "A total of 114 co-DEGs were identified at the intersection of the GSE87466 and GSE53306 datasets (Figure 7B)."}, {"asset": "source:pmid:40093958", "locator": "sections[27] \"Identification of DEGs and Functional Enrichment Analysis\" paragraph 2", "quote": "Furthermore, 114 co-DEGs were subjected to KEGG enrichment analysis. These DEGs were mainly enriched in the IL-17 signaling pathway, cytokine and cytokine receptor interaction, TNF signaling pathway, and chemokine signaling pathway (Figure 7C and D)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 114 co-DEGs were identified at the intersection of the GSE87466 and GSE53306 datasets (Figure 7B).", "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:40093958"], "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:GSE53306"], "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:GSE53306"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40093958", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/JIR.S486751", "sha256": "sha256:62c70d836959a706d71ced8e05cf0ee4b633e609d1a2cf718f0b53e88020621f", "bytes": 47467, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/JIR.S486751", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11910912", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE53306", "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=GSE53306", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE53306", "version": null, "note": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM1289168", "GSM1289169", "GSM1289170", "GSM1289171", "GSM1289172", "GSM1289173", "GSM1289174", "GSM1289175", "GSM1289176", "GSM1289177", "GSM1289178", "GSM1289179", "GSM1289180", "GSM1289181", "GSM1289182", "GSM1289183", "GSM1289184", "GSM1289185", "GSM1289186", "GSM1289187", "GSM1289188", "GSM1289189", "GSM1289190", "GSM1289191", "GSM1289192", "GSM1289193", "GSM1289194", "GSM1289195", "GSM1289196", "GSM1289197", "GSM1289198", "GSM1289199", "GSM1289200", "GSM1289201", "GSM1289202", "GSM1289203", "GSM1289204", "GSM1289205", "GSM1289206", "GSM1289207"], "sample_count": 40, "group_sizes": null, "group_sizes_basis": null, "platform": "14951", "taxon": "Homo sapiens", "title": "Differential Gene Expression between Active and Quiescent Stages of Ulcerative Colitis: Insights into a Distinctive Pathogenesis Profile", "resolution_checked_at": "2026-11-01T17:30:42Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE87466", "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=GSE87466", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE87466", "version": null, "note": "The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The datasets used and/or analyzed during the current study are available from the 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"GSM2332160", "GSM2332161", "GSM2332162", "GSM2332163", "GSM2332164", "GSM2332165", "GSM2332166", "GSM2332167", "GSM2332168", "GSM2332169", "GSM2332170", "GSM2332171", "GSM2332172", "GSM2332173", "GSM2332174", "GSM2332175", "GSM2332176", "GSM2332177", "GSM2332178", "GSM2332179", "GSM2332180", "GSM2332181", "GSM2332182", "GSM2332183", "GSM2332184", "GSM2332185", "GSM2332186", "GSM2332187", "GSM2332188", "GSM2332189", "GSM2332190", "GSM2332191", "GSM2332192", "GSM2332193", "GSM2332194", "GSM2332195", "GSM2332196", "GSM2332197", "GSM2332198", "GSM2332199", "GSM2332200", "GSM2332201", "GSM2332202", "GSM2332203", "GSM2332204", "GSM2332205"], "sample_count": 108, "group_sizes": null, "group_sizes_basis": null, "platform": "13158", "taxon": "Homo sapiens", "title": "Gene expression profiling of mucosal biopsies from adult patients with moderately to severely active ulcerative colitis", "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:GSE53306 not downloaded", "asset:data:geo:GSE53306 licence not read", "asset:data:geo:GSE87466 not downloaded", "asset:data:geo:GSE87466 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "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-2", "family": null, "specific": null, "label": "GEO2R differential-expression analysis, followed by KEGG functional enrichment analysis using DAVID; gut microbiota differences were analyzed using PERMANOVA, ANOSIM, and LEfSe.", "dsl_operations": [], 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