Redefining the practical utility of blood transcriptome biomarkers in inflammatory bowel diseases
Download from source ↗Dataset overview
Whole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis.
Abstract
<h4>Background & aims</h4>Genetic and microbiome studies across patients with primary sclerosing cholangitis (PSC) and ulcerative colitis (UC) have indicated that UC in PSC is a separate disease entity to primary UC, but expression studies for PSC are lacking.<h4>Methods</h4>We conducted whole blood RNA sequencing experiments for 495 patients with UC, 220 patients with PSC (including 177 with UC), and 320 healthy controls from Germany and Norway. Differential expression analyses, gene ontology and coexpression analyses and random forest machine learning were performed to identify genes, ontologies and transcriptional features that discriminate diagnoses.<h4>Results</h4>The blood transcriptome in UC and PSC is dominated by neutrophil activation genes (<i>e.g. S100A12</i>). In UC, but not in PSC (neither PSC alone nor patients with an additional diagnosis of UC [PSC/UC]), ribosomal, mitochondrial, and energy metabolism genes are upregulated in conjunction with antibody transcript expression (<i>MZB1</i>, <i>IGJ</i>). In PSC, there is an increase in modules related to apoptosis and expression of genes of interferon-I-related ontologies. Random forest analysis could poorly discriminate PSC alone from PSC/UC (AUROC 0.56), but could discriminate PSC, UC, and controls with high accuracy (AUROC UC <i>vs.</i> controls 0.95, PSC <i>vs.</i> controls 0.88, UC <i>vs.</i> PSC 0.986). The main coexpression modules relevant for distinguishing PSC, UC, and controls are enriched in neutrophil degranulation and antibody production genes.<h4>Conclusions</h4>Supported by machine learning results, PSC and UC appear to be separate entities on a molecular level, while PSC/UC and PSC are indistinguishable.<h4>Impact and implications</h4>Clinical and genetic studies suggest that the colitis-like symptoms in primary sclerosing cholangitis (PSC) represent a different disease entity from primary ulcerative colitis (UC). The present study supports this assumption with transcriptomic data from whole blood and describes notable differences in gene expression between primary UC and PSC, providing insights into the still unclear pathophysiology of both diseases. These findings are of interest to scientists seeking to decipher the molecular pathophysiology of both diseases and provide evidence that a redefinition of the PSC-UC phenotype should be considered. The study practically supports future molecular research by providing a large transcriptomic whole blood reference cohort.
doi:10.1016/j.jhepr.2023.100988 ↗ PMID 38304234 ↗ PMC10832281 ↗
Study facts
- Organism
- —
- Platform
- Ion Torrent Proton
- Age group
- mixed
- 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
- Sample counts are documented
Limitations
- Not documented: feature/otu tables are advertised
- Not documented: taxonomic tables are advertised
- 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
| Field | Value | Evidence |
|---|---|---|
assay.platform |
Ion Torrent Proton from source |
ENA instrument_model=Ion Torrent Proton Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.age_group |
mixed |
Of these, 51 and 46 samples were from paediatric and adult patients with CD, 51 and 49 samples were from paediatric and adult patients with UC, and 50 and 46 samples were from control children and adults, respectively. Section |
cohort.disease_activity_metadata_available |
True |
In total, 31 patients in each paediatric IBD subgroup and seven patients in each adult IBD subgroup had active disease [with a score above 30] at blood collection. Section |
cohort.study_design |
cross_sectional inferred |
In total, 31 patients in each paediatric IBD subgroup and seven patients in each adult IBD subgroup had active disease [with a score above 30] at blood collection. Section |
cohort.treatment_exposure_documented |
True |
Before inclusion most patients were given mesalazine, but for majority of them the blood samples were collected before additional medications [immunosupressants, glucocorticoids, biological therapy] were ordered. Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.pipeline_or_tool_versions |
True |
Signal processing and base calling were conducted with Torrent Suite version 5.0.4. Reads were mapped to the hg19 AmpliSeq Transcriptome version 1 genome. Section |
data_assets.raw_reads |
True |
The RNA sequencing datasets generated during the study were deposited in European Nucleotide Archive under the PRJEB28822 accession number. Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.body_site |
whole peripheral blood |
we used the Ion AmpliSeq Transcriptome Human Gene Expression Kit to sequence 293 RNA samples extracted from whole peripheral blood. Section |
specimens.number_of_samples |
336 from source |
ENA sample_count=336 Section |