Foundry120 atlas

Gut Bacterial communities of PSC, PSC-IBD and UC patients

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Dataset overview

Participants None
Samples 109
Reuse readiness 5.6/10 evidence-backed score

CD74<sup>+</sup>CCL5<sup>+</sup> effector CD8<sup>+</sup> T cells drive mucosal inflammation and predict biologics response in inflammatory bowel disease.

Abstract

<h4>Background</h4>Inflammatory bowel disease (IBD) exhibits heterogeneous mucosal inflammation and variable responses to biologics therapy. This study aimed to identify the immune cell subsets and molecular programs driving disease pathogenesis and to develop predictive biomarkers for therapeutic outcomes.<h4>Methods</h4>We integrated single-cell RNA sequencing, bulk transcriptomic deconvolution, GWAS-based Mendelian randomization, and gut microbiome profiling across multiple IBD cohorts. Immune-microbial interactions were systematically characterized and linked with clinical phenotypes and treatment response. Immunohistochemistry was performed on colonic tissues from 12 IBD patients and 10 healthy controls to validate CCL5 and CD8 + T cell expression. Flow cytometric analysis of peripheral blood samples from 7 IBD patients and 12 healthy individuals was conducted to assess circulating CCL5 + CD8 + T cell proportions.<h4>Results</h4>CCL5 + effector CD8 + T cells emerged as key mediators of colonic inflammation, displaying high IFN-γ/TNF activity and RUNX3/NF-κB-coordinated transcriptional programs. Immunohistochemical validation demonstrated profoundly elevated CCL5 expression (median 4.170% vs. 0.3450%, P < 0.0001) and CD8 + T cell infiltration (median 2.025% vs. 0.2150%, P < 0.0001) in IBD colonic tissues. Peripheral blood showed modest trends toward increased CCL5 + CD8 + T cells, though far less pronounced than tissue changes. Tissue-resident effector CD8 + T cell abundance correlated with disease severity and infliximab resistance. Six causally associated genes (DMAJCI, RMF167, SPRY1, ZFP96, FKBP11, SELPLG) formed a predictive signature for diagnosis and treatment response. Microbiome analyses revealed disrupted networks and immune-microbiome coupling.<h4>Conclusion</h4>CCL5 + CD8 + T cells are profoundly enriched in IBD colonic tissues and drive mucosal inflammation through pro-inflammatory pathways. A six-gene model, particularly involving FKBP11, demonstrated potential for disease stratification and infliximab response prediction. These findings highlight immune and microbial features of IBD that merit further functional and clinical validation.

Study facts

Organism
Platform
Illumina MiSeq
Age group
Disease groups
Anatomical sites

Data availability

Specific data assets have not been resolved from the source yet — see the source repository below for the full file listing.

Strengths & limitations for reuse

Strengths

  • Raw reads are advertised
  • Feature/OTU tables are advertised
  • Taxonomic tables are advertised
  • Sample counts are documented

Limitations

  • Not documented: participant counts are documented
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.platform Illumina MiSeq from source
ENA instrument_model=Illumina MiSeq

Section ENA study report, offset —

assay.sequencing_type amplicon_16s
The IBD intestinal metagenomic datasets PRJEB7949 (mNGS), RJNA385949 (mNGS) and PRJNA368966 (16S) were downloaded

Section Gut microbiota linear discriminant analysis (LDA) analysis and co-occurrence network construction, offset —

Data_Assets

FieldValueEvidence
data_assets.feature_or_otu_table True inferred
Raw microbiome sequencing data underwent quality control to remove low-abundance and low-prevalence features

Section Gut microbiota linear discriminant analysis (LDA) analysis and co-occurrence network construction, offset —

data_assets.open_access True inferred
"study_accession": "PRJNA368966"

Section ena_study, offset —

data_assets.pipeline_or_tool_versions True
All microbiome analyses and visualizations were performed in R (v4.4.2) using SpiecEasi, microbiome, and the tidyverse ecosystem.

Section Gut microbiota linear discriminant analysis (LDA) analysis and co-occurrence network construction, offset —

data_assets.qc_or_negative_controls_reported True
Raw microbiome sequencing data underwent quality control

Section Gut microbiota linear discriminant analysis (LDA) analysis and co-occurrence network construction, offset —

data_assets.raw_reads True
"study_accession": "PRJNA368966", "run_count": 109

Section ena_study, offset —

data_assets.taxonomic_table True
taxonomic annotations were standardized to the latest NCBI nomenclature

Section Gut microbiota linear discriminant analysis (LDA) analysis and co-occurrence network construction, offset —

Specimens

FieldValueEvidence
specimens.number_of_samples 109 from source
ENA sample_count=109

Section ENA study report, offset —