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pmid:40799218

Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.

Yibo Jiang · Wen Li · Lihao Zheng · Nan Ba

Frontiers in genetics · 2025 doi:10.3389/fgene.2025.1560832

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:40799218
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science-record
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sha256:b60738455915281a6e48b11a9ce7dcf11cb2c10477f9e181314d47f07e57846c
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:30:53Z
updated_at
2026-11-01T22:57:00Z
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paper object · 10 fields
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title
Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.
doi
10.3389/fgene.2025.1560832
pmid
40799218
authors array · 4 items
[0]
Yibo Jiang
[1]
Wen Li
[2]
Lihao Zheng
[3]
Nan Ba
journal
Frontiers in genetics
year
2025
abstract
Chronic Spontaneous Urticaria (CSU) disrupts patients' physical wellbeing through recurrent wheals that last for up to 24 h and pruritus, and may also contribute to the development and progression of mental health conditions such as depression due to poor control of CSU symptoms. Clinical evidence has shown significant comorbidity between CSU and major depressive disorder (MDD), but our understanding of the underlying molecular mechanisms and how they differ by sex remains limited. In this work, five gene expression datasets were obtained from the Gene Expression Omnibus (GEO), encompassing three for MDD (GSE52790, GSE38206, GSE76826) and two exclusively whole-blood datasets for CSU (GSE167882, GSE72541). Following data preprocessing and batch effect correction, differentially expressed genes (DEGs) in CSU and MDD were identified in male, female, and total populations. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to characterize putative pathophysiological mechanisms. Subsequently, machine learning algorithms were implemented via 10-fold cross-validation to build transcriptomic classifiers for MDD in a sex-stratified manner. Results indicated shared molecular patterns between CSU and MDD, with 26 key genes in the total population, 6 in males and 7 in females. Further feature selection yielded 6 core transcriptomic features in the total population (BCL11A, BEX2, C5AR1, DDX60L, LCE3D, NAMPT), 2 in males (GNAQ, RNF19B), and 4 in females (GNG7, LCE3D, PYGL, UPP1). Validation analyses showed that these transcriptomic classifiers conferred high classification accuracy, with the model for females surpassing that for males. Potential drug candidates targeting shared molecular mechanisms were identified. Overall, these findings reveal sex-specific molecular signatures that may underlie CSU-MDD comorbidity and offer insight into future precision treatment paradigms.
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The “limma” package was used, applying a threshold of |log2FC|>0.25 and p<0.05 Illumina (2015).
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sections[5] "2.3 Identification of differentially expressed genes (DEGs)" paragraph 2
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The “limma” package was used, applying a threshold of |log2FC|>0.25 and p<0.05 Illumina (2015).
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sections[24] "Data availability statement" paragraph 2
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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An initial screening of the CSU data sets identified 690 differentially expressed genes (DEGs) according to the criteria of |log2FC|>0.25 and FDR <0.05.
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qualitative
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sections[13] "3.2 Results of differentially expressed gene analysis" paragraph 2
quote
An initial screening of the CSU data sets identified 690 differentially expressed genes (DEGs) according to the criteria of |log2FC|>0.25 and FDR <0.05
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An initial screening of the CSU data sets identified 690 differentially expressed genes (DEGs) according to the criteria of |log2FC|>0.25 and FDR <0.05.
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the published estimate and its evidence
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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Changes in human basophil mRNA profiles during treatment with omalizumab
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13607
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Transcription profiling of major depression peripheral blood mononuclear cells (PBMCs) at clinical remission compared to severe acute state
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2026-11-01T17:30:42Z
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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lncRNA and mRNA expression data in peripheral blood sampled from MDD patients
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2026-11-01T20:16:08Z
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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16699
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Gene expression profile of patients with moderate and severe chronic spontaneous urticaria [blood]
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resolution_check
identifier_resolution_only_no_download_no_licence_read
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
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17077
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Homo sapiens
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Blood transcriptomic markers in patients with late-onset major depressive disorder
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The “limma” package was used, applying a threshold of |log2FC|>0.25 and p<0.05 Illumina (2015).
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GSE76826
[3]
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GEO GSE167882
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agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-40799218
type
extraction
used array · 1 item
[0]
source:pmid:40799218
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE167882
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE167882
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
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 object · 4 fields
parent_id
pmid:40799218
parent_hash
sha256:dcabc6a8d50716d08bf25f1fb97f1ac024b1e07067d7070cf9c7268b38bc354d
fork_of
null
gaps array · 15 items
[0]
asset:data:geo:GSE167882 licence not read
[1]
asset:data:geo:GSE167882 not downloaded
[2]
asset:data:geo:GSE38206 licence not read
[3]
asset:data:geo:GSE38206 not downloaded
[4]
asset:data:geo:GSE52790 licence not read
[5]
asset:data:geo:GSE52790 not downloaded
[6]
asset:data:geo:GSE72541 licence not read
[7]
asset:data:geo:GSE72541 not downloaded
[8]
asset:data:geo:GSE76826 licence not read
[9]
asset:data:geo:GSE76826 not downloaded
[10]
execution.not_run
[11]
method.reader_differs_from_extractor
[12]
review.human_critique
[13]
review.independent_reader
[14]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
differential_expression
definition_version
f2132e96ae6c7a4e
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The “limma” package was used, applying a threshold of |log2FC|>0.25 and p<0.05 Illumina (2015).
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40799218", "kind": "science-record", "revision": 4, "content_hash": "sha256:b60738455915281a6e48b11a9ce7dcf11cb2c10477f9e181314d47f07e57846c", "created_at": "2026-11-01T20:30:53Z", "updated_at": "2026-11-01T22:57:00Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.", "doi": "10.3389/fgene.2025.1560832", "pmid": "40799218", "authors": ["Yibo Jiang", "Wen Li", "Lihao Zheng", "Nan Ba"], "journal": "Frontiers in genetics", "year": 2025, "abstract": "Chronic Spontaneous Urticaria (CSU) disrupts patients' physical wellbeing through recurrent wheals that last for up to 24 h and pruritus, and may also contribute to the development and progression of mental health conditions such as depression due to poor control of CSU symptoms. Clinical evidence has shown significant comorbidity between CSU and major depressive disorder (MDD), but our understanding of the underlying molecular mechanisms and how they differ by sex remains limited. In this work, five gene expression datasets were obtained from the Gene Expression Omnibus (GEO), encompassing three for MDD (GSE52790, GSE38206, GSE76826) and two exclusively whole-blood datasets for CSU (GSE167882, GSE72541). Following data preprocessing and batch effect correction, differentially expressed genes (DEGs) in CSU and MDD were identified in male, female, and total populations. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to characterize putative pathophysiological mechanisms. Subsequently, machine learning algorithms were implemented via 10-fold cross-validation to build transcriptomic classifiers for MDD in a sex-stratified manner. Results indicated shared molecular patterns between CSU and MDD, with 26 key genes in the total population, 6 in males and 7 in females. Further feature selection yielded 6 core transcriptomic features in the total population (BCL11A, BEX2, C5AR1, DDX60L, LCE3D, NAMPT), 2 in males (GNAQ, RNF19B), and 4 in females (GNG7, LCE3D, PYGL, UPP1). Validation analyses showed that these transcriptomic classifiers conferred high classification accuracy, with the model for females surpassing that for males. Potential drug candidates targeting shared molecular mechanisms were identified. Overall, these findings reveal sex-specific molecular signatures that may underlie CSU-MDD comorbidity and offer insight into future precision treatment paradigms.", "claims": [{"id": "claim-method", "statement": "The “limma” package was used, applying a threshold of |log2FC|>0.25 and p<0.05 Illumina (2015).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40799218", "locator": "sections[5] \"2.3 Identification of differentially expressed genes (DEGs)\" paragraph 2", "quote": "The “limma” package was used, applying a threshold of |log2FC|>0.25 and p<0.05 Illumina (2015)."}], "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:40799218", "locator": "sections[24] \"Data availability statement\" 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": "An initial screening of the CSU data sets identified 690 differentially expressed genes (DEGs) according to the criteria of |log2FC|>0.25 and FDR <0.05.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40799218", "locator": "sections[13] \"3.2 Results of differentially expressed gene analysis\" paragraph 2", "quote": "An initial screening of the CSU data sets identified 690 differentially expressed genes (DEGs) according to the criteria of |log2FC|>0.25 and FDR <0.05"}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "An initial screening of the CSU data sets identified 690 differentially expressed genes (DEGs) according to the criteria of |log2FC|>0.25 and FDR <0.05.", "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:40799218"], "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:GSE167882"], "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:GSE167882"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40799218", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fgene.2025.1560832", "sha256": "sha256:a5a490b3a826da48447f829b767a4d812ed18d7c5863d45e040d29e22d022427", "bytes": 43470, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fgene.2025.1560832", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12339353", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE167882", "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=GSE167882", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE167882", "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": ["GSM5114525", "GSM5114526", "GSM5114527", "GSM5114528", "GSM5114529", "GSM5114530", "GSM5114531", "GSM5114532", "GSM5114533", "GSM5114534", "GSM5114535", "GSM5114536", "GSM5114537", "GSM5114538", "GSM5114539", "GSM5114540", "GSM5114541", "GSM5114542", "GSM5114543", "GSM5114544", "GSM5114545"], "sample_count": 21, "group_sizes": null, "group_sizes_basis": null, "platform": "23159", "taxon": "Homo sapiens", "title": "Changes in human basophil mRNA profiles during treatment with omalizumab", "resolution_checked_at": "2026-11-01T20:16:08Z", "resolution_check": 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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": ["GSM1864783", "GSM1864784", "GSM1864785", "GSM1864786", "GSM1864787", "GSM1864788", "GSM1864789", "GSM1864790", "GSM1864791", "GSM1864792", "GSM1864793", "GSM1864794", "GSM1864795", "GSM1864796", "GSM1864797", "GSM1864798", "GSM1864799", "GSM1864800", "GSM1864801", "GSM1864802", "GSM1864803", "GSM1864804", "GSM1864805", "GSM1864806", "GSM1864807", "GSM1864808", "GSM1864809", "GSM1864810", "GSM1864811", "GSM1864812"], "sample_count": 30, "group_sizes": null, "group_sizes_basis": null, "platform": "16699", "taxon": "Homo sapiens", "title": "Gene expression profile of patients with moderate and severe chronic spontaneous 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"access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM2038455", "GSM2038456", "GSM2038457", "GSM2038458", "GSM2038459", "GSM2038460", "GSM2038461", "GSM2038462", "GSM2038463", "GSM2038464", "GSM2038465", "GSM2038466", "GSM2038467", "GSM2038468", "GSM2038469", "GSM2038470", "GSM2038471", "GSM2038472", "GSM2038473", "GSM2038474", "GSM2038475", "GSM2038476", "GSM2038477", "GSM2038478", "GSM2038479", "GSM2038480", "GSM2038481", "GSM2038482", "GSM2038483", "GSM2038484", "GSM2038485", "GSM2038486"], "sample_count": 32, "group_sizes": null, "group_sizes_basis": null, "platform": "17077", "taxon": "Homo sapiens", "title": "Blood transcriptomic markers in patients with late-onset major depressive disorder", "resolution_checked_at": "2026-11-01T18:46:34Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE167882 not downloaded", "asset:data:geo:GSE167882 licence not 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