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pmid:40901026

PI3 as a Common Hub Gene Linking Atopic Dermatitis and Ulcerative Colitis Through Immune Cell Recruitment Mechanisms.

Dan Jian · Jian Chen · Jinping Yuan · Kunwar Namrata · Dan Su · Bingxue Bai

Journal of inflammation research · 2025 doi:10.2147/JIR.S527507

Paper

complete

Experiment

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Data

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Analysis

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title
PI3 as a Common Hub Gene Linking Atopic Dermatitis and Ulcerative Colitis Through Immune Cell Recruitment Mechanisms.
doi
10.2147/JIR.S527507
pmid
40901026
authors array · 6 items
[0]
Dan Jian
[1]
Jian Chen
[2]
Jinping Yuan
[3]
Kunwar Namrata
[4]
Dan Su
[5]
Bingxue Bai
journal
Journal of inflammation research
year
2025
abstract
Background: Atopic dermatitis (AD) and ulcerative colitis (UC) are increasingly prevalent, and growing evidence suggests a potential link between them. However, the shared pathogenesis remains unclear. This study aims to identify the hub genes and immunological features underlying the connection between AD and UC. Methods: In this study, we downloaded the GSE121212 and GSE75214 datasets from the GEO database. Differentially expressed genes (DEGs) were identified through DESeq2 and limma R packages, revealing enrichment in immune-related pathways such as neutrophil migration and chemokine signaling. Subsequently, weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were performed to identify common candidate genes. Three machine learning algorithms were employed to select the hub gene, and single-cell RNA sequencing was used to validate the findings. Results: Seven common candidate genes (CXCL1, CCL20, CXCL2, ZC3H12A, PI3, CXCL3, LCN2) were identified, showing significant expression differences in both diseases and associations with immune cell infiltration. Among them, PI3 emerged as the hub gene with strong diagnostic potential (AUC > 0.95) based on three machine learning models. Single-cell RNA sequencing supported high PI3 expression in UC intestinal epithelial cells and AD keratinocytes, with correlations to certain CCL and CXCL chemokines. These chemokines play overlapping roles in recruiting M1 macrophages, CD4 T cells, and neutrophils, thereby regulating inflammation in both AD and UC. Conclusion: Our study uncovers shared immune cell recruitment mechanisms in both diseases, suggesting that CCR1 may serve as a potential common target. Additionally, PI3 is identified as a potential biomarker for both AD and UC, providing new insights into the mechanisms and potential connections between these diseases.
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Subsequently, we employed |FC|>2 and p-adjust<0.05 as the filtration conditions using the “DESeq2” R package and “limma” R package to isolate the differentially expressed genes (DEGs) in the two datasets independently.
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Subsequently, we employed |FC|>2 and p-adjust<0.05 as the filtration conditions using the “DESeq2” R package and “limma” R package to isolate the differentially expressed genes (DEGs) in the two datasets independently.
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PI3 was identified as a shared diagnostic biomarker with an AUC exceeding 0.95 in both atopic dermatitis and ulcerative colitis.
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Among them, PI3 emerged as the hub gene with strong diagnostic potential (AUC > 0.95) based on three machine learning models.
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PI3 was identified as a shared diagnostic biomarker with an AUC exceeding 0.95 in both atopic dermatitis and ulcerative colitis.
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[20]
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[21]
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[22]
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[24]
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[25]
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[26]
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[27]
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[29]
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[30]
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[31]
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[36]
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[37]
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[38]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[46]
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[47]
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[48]
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[49]
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[50]
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[51]
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[52]
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[53]
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[54]
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[55]
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[56]
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[57]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
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[65]
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[66]
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[67]
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[68]
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[69]
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[70]
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[71]
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[72]
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[73]
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[74]
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[75]
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[79]
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[80]
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[81]
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[82]
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[83]
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[84]
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[85]
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[86]
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[87]
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[88]
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[89]
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[90]
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[91]
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[92]
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[93]
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[94]
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[95]
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[96]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[106]
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[107]
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[108]
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[109]
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[110]
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[111]
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[112]
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[113]
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[114]
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[115]
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[116]
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[117]
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[118]
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[119]
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[120]
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[121]
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[122]
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[123]
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[124]
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[125]
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[129]
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[130]
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[131]
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[132]
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[133]
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[134]
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[135]
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[136]
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[137]
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[138]
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[139]
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[140]
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[141]
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[142]
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[143]
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[144]
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[145]
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[146]
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[147]
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[148]
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[149]
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[150]
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[151]
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[152]
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[153]
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[154]
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[155]
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[156]
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[157]
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[158]
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[159]
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[160]
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[161]
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[162]
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[163]
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[164]
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[165]
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[166]
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[167]
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[168]
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[169]
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[171]
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[172]
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[173]
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[174]
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[175]
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[178]
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[179]
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[180]
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[181]
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[182]
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[183]
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[184]
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[185]
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[186]
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[187]
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[188]
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[189]
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[190]
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[191]
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[192]
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[193]
GSM1945836
sample_count
194
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Mucosal gene expression profiling in patients with inflammatory bowel disease study
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[7] object · 15 fields
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
All datasets used for analysis (GSE121212, GSE75214, GSE16161, GSE87466, GSE214695, GSE197023 and GSE153760) were derived from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database, a publicly available dataset.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
All datasets used for analysis (GSE121212, GSE75214, GSE16161, GSE87466, GSE214695, GSE197023 and GSE153760) were derived from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database, a publicly available dataset.
access_statement_kind
data_availability_statement
sample_accessions array · 108 items
[0]
GSM2332098
[1]
GSM2332099
[2]
GSM2332100
[3]
GSM2332101
[4]
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[5]
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[6]
GSM2332104
[7]
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[8]
GSM2332106
[9]
GSM2332107
[10]
GSM2332108
[11]
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[12]
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[13]
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[14]
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[15]
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[16]
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[17]
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[18]
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[19]
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[20]
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[21]
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[22]
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[23]
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[24]
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[25]
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[26]
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[27]
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[28]
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[29]
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[30]
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[31]
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[32]
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[33]
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[34]
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[35]
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[36]
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[37]
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[38]
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[39]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[46]
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[48]
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[50]
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[51]
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[52]
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[53]
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[54]
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[55]
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[56]
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[57]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
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[65]
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[66]
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[67]
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[68]
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[69]
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[70]
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[71]
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[72]
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[73]
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[74]
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[75]
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[76]
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[77]
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[78]
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[79]
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[80]
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[81]
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[82]
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[83]
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[84]
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[85]
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[86]
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[87]
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[88]
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[89]
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[90]
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[91]
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[92]
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[93]
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[94]
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[95]
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[96]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[106]
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[107]
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 array · 14 items
[0]
asset:data:geo:GSE121212 not downloaded
[1]
asset:data:geo:GSE121212 licence not read
[2]
asset:data:geo:GSE153760 not downloaded
[3]
asset:data:geo:GSE153760 licence not read
[4]
asset:data:geo:GSE16161 not downloaded
[5]
asset:data:geo:GSE16161 licence not read
[6]
asset:data:geo:GSE197023 not downloaded
[7]
asset:data:geo:GSE197023 licence not read
[8]
asset:data:geo:GSE214695 not downloaded
[9]
asset:data:geo:GSE214695 licence not read
[10]
asset:data:geo:GSE75214 not downloaded
[11]
asset:data:geo:GSE75214 licence not read
[12]
asset:data:geo:GSE87466 not downloaded
[13]
asset:data:geo:GSE87466 licence not read
analysis object · 4 fields
state
complete
methods array · 3 items
[0] object · 10 fields
id
method-1
family
differential_expression
specific
deseq2
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
1
band
verbatim
quote
Subsequently, we employed |FC|>2 and p-adjust<0.05 as the filtration conditions using the “DESeq2” R package and “limma” R package to isolate the differentially expressed genes (DEGs) in the two datasets independently.
[1] object · 10 fields
id
method-2
family
differential_expression
specific
limma_voom
label
Differential expression analysis
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
count_matrix_with_condition
evidence object · 3 fields
score
0.7
band
medium
quote
limma
[2] object · 10 fields
id
method-3
family
network_analysis
specific
ppi_network
label
Network / pathway analysis
dsl_operations array · 3 items
[0]
build_graph
[1]
centrality_scores
[2]
pathway_enrich
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
edge_list
evidence object · 3 fields
score
0.7
band
medium
quote
protein-protein interaction
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: deseq2.
capability object · 4 fields
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 object · 6 fields
tier
R1
reachable
true
accessions array · 7 items
[0]
GSE121212
[1]
GSE75214
[2]
GSE16161
[3]
GSE87466
[4]
GSE214695
[5]
GSE197023
[6]
GSE153760
resolved_accessions array · 7 items
[0]
GSE121212
[1]
GSE75214
[2]
GSE16161
[3]
GSE87466
[4]
GSE214695
[5]
GSE197023
[6]
GSE153760
statements array · 1 item
[0]
All datasets used for analysis (GSE121212, GSE75214, GSE16161, GSE87466, GSE214695, GSE197023 and GSE153760) were derived from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database, a publicly available dataset.
basis
The paper names GSE121212, GSE75214, GSE16161, GSE87466, GSE214695, GSE197023, GSE153760 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 3 items
[0]
normalise_counts
[1]
differential_expression_fit
[2]
fdr_bh
assets array · 2 items
[0]
source:pmid:40901026
[1]
data:geo:GSE121212
steps array · 1 item
[0]
run_analysis
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
[0]
data:geo:GSE121212
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T20:01:02Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
12448
completion_tokens
1949
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:40901026
type
paper
label
pmid:40901026
[1] object · 3 fields
id
source:pmid:40901026
type
manuscript
label
PMID 40901026 full text
[2] object · 3 fields
id
data:geo:GSE121212
type
dataset
label
GEO GSE121212
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:40901026
type
paper
label
pmid:40901026
[1] object · 3 fields
id
source:pmid:40901026
type
manuscript
label
PMID 40901026 full text
[2] object · 3 fields
id
data:geo:GSE121212
type
dataset
label
GEO GSE121212
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-40901026
type
extraction
used array · 1 item
[0]
source:pmid:40901026
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE121212
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE121212
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:40901026
parent_hash
sha256:3b4be53b374f31ededd7fa345326c554a6bcf7e6a2e1c42d0bba5d75112371f8
fork_of
null
gaps array · 18 items
[0]
asset:data:geo:GSE121212 licence not read
[1]
asset:data:geo:GSE121212 not downloaded
[2]
asset:data:geo:GSE153760 licence not read
[3]
asset:data:geo:GSE153760 not downloaded
[4]
asset:data:geo:GSE16161 licence not read
[5]
asset:data:geo:GSE16161 not downloaded
[6]
asset:data:geo:GSE197023 licence not read
[7]
asset:data:geo:GSE197023 not downloaded
[8]
asset:data:geo:GSE214695 licence not read
[9]
asset:data:geo:GSE214695 not downloaded
[10]
asset:data:geo:GSE75214 licence not read
[11]
asset:data:geo:GSE75214 not downloaded
[12]
asset:data:geo:GSE87466 licence not read
[13]
asset:data:geo:GSE87466 not downloaded
[14]
execution.not_run
[15]
review.human_critique
[16]
review.independent_reader
[17]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
scrna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
unsupported
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
ms were employed to select the hub gene, and single-cell RNA sequencing was used to validate the findings. Results:
[1]
.95) based on three machine learning models. Single-cell RNA sequencing supported high PI3 expression in UC intestin
order_basis
paper_text_order:928
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
rna_seq
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 2 items
[0]
oyed to select the hub gene, and single-cell RNA sequencing was used to validate the findings. Results:
[1]
n three machine learning models. Single-cell RNA sequencing supported high PI3 expression in UC intestin
order_basis
paper_text_order:940
id
assay:2
[2] 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]
Subsequently, we employed |FC|>2 and p-adjust<0.05 as the filtration conditions using the “DESeq2” R package and “limma” R package to isolate the differentially expressed genes (DEGs) in the two datasets independently.
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:40901026", "kind": "science-record", "revision": 4, "content_hash": "sha256:240a60ae57c75f6672f075d1b04f14f7e96c6ddbfe9954cb16f8cc72bdac5385", "created_at": "2026-11-01T20:31:00Z", "updated_at": "2026-11-01T22:57:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "PI3 as a Common Hub Gene Linking Atopic Dermatitis and Ulcerative Colitis Through Immune Cell Recruitment Mechanisms.", "doi": "10.2147/JIR.S527507", "pmid": "40901026", "authors": ["Dan Jian", "Jian Chen", "Jinping Yuan", "Kunwar Namrata", "Dan Su", "Bingxue Bai"], "journal": "Journal of inflammation research", "year": 2025, "abstract": "Background: Atopic dermatitis (AD) and ulcerative colitis (UC) are increasingly prevalent, and growing evidence suggests a potential link between them. However, the shared pathogenesis remains unclear. This study aims to identify the hub genes and immunological features underlying the connection between AD and UC.\nMethods: In this study, we downloaded the GSE121212 and GSE75214 datasets from the GEO database. Differentially expressed genes (DEGs) were identified through DESeq2 and limma R packages, revealing enrichment in immune-related pathways such as neutrophil migration and chemokine signaling. Subsequently, weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were performed to identify common candidate genes. Three machine learning algorithms were employed to select the hub gene, and single-cell RNA sequencing was used to validate the findings.\nResults: Seven common candidate genes (CXCL1, CCL20, CXCL2, ZC3H12A, PI3, CXCL3, LCN2) were identified, showing significant expression differences in both diseases and associations with immune cell infiltration. Among them, PI3 emerged as the hub gene with strong diagnostic potential (AUC > 0.95) based on three machine learning models. Single-cell RNA sequencing supported high PI3 expression in UC intestinal epithelial cells and AD keratinocytes, with correlations to certain CCL and CXCL chemokines. These chemokines play overlapping roles in recruiting M1 macrophages, CD4 T cells, and neutrophils, thereby regulating inflammation in both AD and UC.\nConclusion: Our study uncovers shared immune cell recruitment mechanisms in both diseases, suggesting that CCR1 may serve as a potential common target. Additionally, PI3 is identified as a potential biomarker for both AD and UC, providing new insights into the mechanisms and potential connections between these diseases.", "claims": [{"id": "claim-method", "statement": "Subsequently, we employed |FC|>2 and p-adjust<0.05 as the filtration conditions using the “DESeq2” R package and “limma” R package to isolate the differentially expressed genes (DEGs) in the two datasets independently.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40901026", "locator": "sections[3] \"Data Preprocessing and Differential Expression\" paragraph 2", "quote": "Subsequently, we employed |FC|>2 and p-adjust<0.05 as the filtration conditions using the “DESeq2” R package and “limma” R package to isolate the differentially expressed genes (DEGs) in the two datasets independently."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All datasets used for analysis (GSE121212, GSE75214, GSE16161, GSE87466, GSE214695, GSE197023 and GSE153760) were derived from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database, a publicly available dataset.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40901026", "locator": "sections[27] \"Data Sharing Statement\" paragraph 2", "quote": "All datasets used for analysis (GSE121212, GSE75214, GSE16161, GSE87466, GSE214695, GSE197023 and GSE153760) were derived from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database, a publicly available dataset."}], "state": "complete"}, {"id": "claim-target-result", "statement": "PI3 was identified as a shared diagnostic biomarker with an AUC exceeding 0.95 in both atopic dermatitis and ulcerative colitis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40901026", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Among them, PI3 emerged as the hub gene with strong diagnostic potential (AUC > 0.95) based on three machine learning models."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "PI3 was identified as a shared diagnostic biomarker with an AUC exceeding 0.95 in both atopic dermatitis and ulcerative colitis.", "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:40901026"], "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:GSE121212"], "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:GSE121212"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:40901026", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/JIR.S527507", "sha256": 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