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pmid:41550502

Mitigating psychological stress-induced cardiac injury: The impact of CB2R agonists on endoplasmic reticulum stress and mitophagy.

Chenke Ma · Wenbin Gai · Kan Zhang · Cheng Qin

Biochemistry and biophysics reports · 2026 doi:10.1016/j.bbrep.2025.102425

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complete

Experiment

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Data

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Analysis

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title
Mitigating psychological stress-induced cardiac injury: The impact of CB2R agonists on endoplasmic reticulum stress and mitophagy.
doi
10.1016/j.bbrep.2025.102425
pmid
41550502
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[0]
Chenke Ma
[1]
Wenbin Gai
[2]
Kan Zhang
[3]
Cheng Qin
journal
Biochemistry and biophysics reports
year
2026
abstract
Background: Psychological stress is a recognized contributor to cardiac injury and disease; however, the molecular mechanisms underlying this relationship remain incompletely understood, and effective therapeutic strategies are still limited. Materials and methods: DEGs were identified from our sequencing data and GEO datasets, intersected with ER stress/mitophagy-related genes, and then prioritized by machine-learning and network analyses; pathway activity, immune signatures, molecular subtypes, and miRNA-mRNA interactions (DIANA-TarBase) were further characterized and experimentally validated. Results: In cardiac injury induced by psychological stress, 38 differentially expressed ER stress- and mitophagy-related genes were identified. Through methods such as LASSO regression, four key genes-Foxo3, Pparg, Sirt1, and Stat3-were selected. ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720). Correlation analysis revealed that Sirt1 exhibited significant positive correlations with CD56bright natural killer cells, MDSCs, and Type 1 T helper cells. Pparg showed a notable positive association with Type 1 T helper cells, while γδ T cells showed significant negative correlations with Stat3, Sirt1, Pparg, anRd Foxo3. Treatment with a cannabinoid type 2 receptor (CB2R) agonist notably downregulated the expression of these four key genes. Conclusion: This study provides mechanistic insight into molecular processes underlying psychological stress-induced cardiac injury. The identified four-gene module may serve as an exploratory molecular signature and a starting point for evaluating CB2R agonism as a modulator of ER stress and mitophagy.
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To construct a diagnostic model based on phenotype-associated differentially expressed genes within the test set, we performed Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling conducted with the glmnet package in R.
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To construct a diagnostic model based on phenotype-associated differentially expressed genes within the test set, we performed Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling conducted with the glmnet package in R.
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All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.
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All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.
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ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720).
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ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720).
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ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720).
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Molecular mechanisms of cannabinoid type II receptor agonists in a mouse model of psychological stress-induced cardiac injury revealed by whole transcriptomic analysis
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evidence object · 3 fields
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principal_component_analysis
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label
Principal component analysis
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wide_numeric_matrix
evidence object · 3 fields
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0.8
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PCA
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Network / pathway analysis
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0.8
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Network / pathway analysis
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[5]
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ROC analysis
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id
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null
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null
label
LASSO regression
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To construct a diagnostic model based on phenotype-associated differentially expressed genes within the test set, we performed Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling conducted with the glmnet package in R.
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method.reader_named_unmapped
[1]
method.student_t
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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complete
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nothing:replicable_now
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: student_t_test.
capability object · 4 fields
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capability:computational_analysis
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
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[0]
GSE68077
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[0]
GSE68077
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All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.
basis
The paper names GSE68077, GSE210820 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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source:pmid:41550502
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MiniMax-M3.1-Flash
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minimax
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minimax
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independence
single_reader
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method
verbatim
availability
verbatim
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usage object · 3 fields
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[0] object · 4 fields
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extraction
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MiniMax-M3.1-Flash
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minimax
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pmid:41550502
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paper
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PMID 41550502 full text
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data:geo:GSE210820
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GEO GSE210820
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paper
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pmid:41550502
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source:pmid:41550502
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manuscript
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PMID 41550502 full text
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id
data:geo:GSE210820
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dataset
label
GEO GSE210820
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agent:corpus-assay-engine
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activity-read-41550502
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extraction
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data:geo:GSE210820
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agent:corpus-assay-engine
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343fb30756ba6ec3
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41550502", "kind": "science-record", "revision": 3, "content_hash": "sha256:da10ed5b3e494e53b8852dd13f6801c2b3034fdcdcd9390a9793a79a35e58dc0", "created_at": "2026-11-01T20:31:31Z", "updated_at": "2026-11-01T22:15:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Mitigating psychological stress-induced cardiac injury: The impact of CB2R agonists on endoplasmic reticulum stress and mitophagy.", "doi": "10.1016/j.bbrep.2025.102425", "pmid": "41550502", "authors": ["Chenke Ma", "Wenbin Gai", "Kan Zhang", "Cheng Qin"], "journal": "Biochemistry and biophysics reports", "year": 2026, "abstract": "Background: Psychological stress is a recognized contributor to cardiac injury and disease; however, the molecular mechanisms underlying this relationship remain incompletely understood, and effective therapeutic strategies are still limited.\nMaterials and methods: DEGs were identified from our sequencing data and GEO datasets, intersected with ER stress/mitophagy-related genes, and then prioritized by machine-learning and network analyses; pathway activity, immune signatures, molecular subtypes, and miRNA-mRNA interactions (DIANA-TarBase) were further characterized and experimentally validated.\nResults: In cardiac injury induced by psychological stress, 38 differentially expressed ER stress- and mitophagy-related genes were identified. Through methods such as LASSO regression, four key genes-Foxo3, Pparg, Sirt1, and Stat3-were selected. ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720). Correlation analysis revealed that Sirt1 exhibited significant positive correlations with CD56bright natural killer cells, MDSCs, and Type 1 T helper cells. Pparg showed a notable positive association with Type 1 T helper cells, while γδ T cells showed significant negative correlations with Stat3, Sirt1, Pparg, anRd Foxo3. Treatment with a cannabinoid type 2 receptor (CB2R) agonist notably downregulated the expression of these four key genes.\nConclusion: This study provides mechanistic insight into molecular processes underlying psychological stress-induced cardiac injury. The identified four-gene module may serve as an exploratory molecular signature and a starting point for evaluating CB2R agonism as a modulator of ER stress and mitophagy.", "claims": [{"id": "claim-method", "statement": "To construct a diagnostic model based on phenotype-associated differentially expressed genes within the test set, we performed Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling conducted with the glmnet package in R.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41550502", "locator": "sections[7] \"LASSO analysis\" paragraph 2", "quote": "To construct a diagnostic model based on phenotype-associated differentially expressed genes within the test set, we performed Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling conducted with the glmnet package in R."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41550502", "locator": "sections[36] \"Data availability\" paragraph 2", "quote": "All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized."}], "state": "complete"}, {"id": "claim-target-result", "statement": "ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41550502", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "ROC analysis of the four-gene phenotype score showed strong discrimination in the test dataset (AUC = 0.917 for control vs. stress; AUC = 0.938 for stress vs. CB2R-agonist treatment) and moderate discrimination in the external validation cohort GSE68077 for the comparison of controls versus 5dayStress-1dayRest samples (AUC = 0.720).", "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:41550502"], "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:GSE210820"], "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:student_t", "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:GSE210820"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:student_t"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41550502", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1016/j.bbrep.2025.102425", "sha256": "sha256:4010bf51ef2363f8b33ff07289d6bd0e8ae8a5817ce5da59f48bab7024481be2", "bytes": 63051, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1016/j.bbrep.2025.102425", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12808523", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE210820", "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=GSE210820", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE210820", "version": null, "note": "All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM6438710", "GSM6438711", "GSM6438712", "GSM6438713", "GSM6438714", "GSM6438715", "GSM6438716", "GSM6438717", "GSM6438718", "GSM6438719", "GSM6438720", "GSM6438721", "GSM6438722", "GSM6438723", "GSM6438724", "GSM6438725", "GSM6438726", "GSM6438727", "GSM6438728", "GSM6438729", "GSM6438730", "GSM6438731"], "sample_count": 22, "group_sizes": null, "group_sizes_basis": null, "platform": "24247", "taxon": "Mus musculus", "title": "Molecular mechanisms of cannabinoid type II receptor agonists in a mouse model of psychological stress-induced cardiac injury revealed by whole transcriptomic analysis", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE68077", "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=GSE68077", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE68077", "version": null, "note": "All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. No additional proprietary or confidential data were utilized.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "All data relevant to this study are publicly available through the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). The specific datasets analyzed include GSE210820 and GSE68077. 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