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Record W4318539580 · doi:10.1093/ecco-jcc/jjac190.0149

P019 Host-Enterobacteriaceae interactions and mitochondrial dysfunction in Crohn’s colitis

2023· article· en· W4318539580 on OpenAlexaffabout
Ravi Holani, Haggai Bar‐Yoseph, Zakhar Krekhno, K M Moon, R. Greg Stacey, Antonio Serapio-Palacios, B Bressler, Katherine Donald, Leonard J. Foster, B. Brett Finlay

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsDysbiosisEnterobacteriaceaeMicrobiomeColitisInflammatory bowel diseaseProteomicsBiologyGut floraMicrobiologyInflammationCrohn's diseaseImmunologyMedicineDiseaseInternal medicineBioinformaticsEscherichia coliGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Background Crohn’s disease (CD) is characterized by chronic gastrointestinal inflammation and unfavourable changes in the composition of intestinal microbiota (‘dysbiosis’). Members of Enterobacteriaceae such as K. pneumoniae and E. coli are often over-represented in colonic mucosa of CD patients. These bacteria contribute to vicious circle of dysbiosis and inflammation by expressing multiple virulence factors. Further, mitochondrial dysfunction in Paneth cells has recently been reported in ileal CD. In agreement, high-fat diet and repeated use of antibiotics increases susceptibility to colitis by damaging mitochondria. However, it remains unknown whether impaired mitochondrial bioenergetics could enhance mucosal colonization by Enterobacteriaceae and thus, contribute to the pathophysiology of colonic CD. Furthermore, the molecular mechanism leading to mitochondrial damage in colonic CD are incompletely understood. Methods Right colonic biopsies were collected from 74 adult CD patients and 28 healthy participants at St. Paul’s Hospital (Vancouver, BC, Canada). Microbes in colonic biopsies were characterized by 16S rDNA sequencing using Illumina MiSeq platform, followed by analysis of differentially abundant families via ANCOM-BC methodology. Further, high-throughput data-independent acquisition (DIA) proteomics was performed in colonic biopsies (Bruker Daltonics TimsTof Pro2 LC-MS/MS), and later analyzed via DIA-neural network software. Spearman's rank correlation approach was used for host proteomics- Enterobacteriaceae correlational analysis. Microbiome and proteomic data were corrected for false discovery rate (FDR; < 0.5 for statistical significance). For validation studies, human colonic TC7 epithelial cells and patient-derived organoid cultures were infected with CD-patient derived E. coli ± C75, a chemical inhibitor of fatty acid synthase (FASN; de novo fatty acid synthesis enzyme). Results We found an increased abundance of Enterobacteriaceae members in colonic mucosa of CD patients compared to healthy controls (Fig A). Next, our proteomics data revealed a significant downregulation in a group of proteins which were functionally related to mitochondrial health and activity, in CD patients compared to controls (Fig B). Further, Spearman’s analysis showed a positive correlation between Enterobacteriaceae and host FASN enzyme (Fig C), a protein directly related to mitochondrial metabolism. Interestingly, we found that blocking FASN with chemical inhibitor (C75) significantly enhanced colonization by E. coli in TC7 cells (Fig D). Conclusion Mechanistically, our study reports that aberrant activity of host FASN enzyme may cause mitochondrial dysfunction and thus, facilitates intestinal colonization by Enterobacteriaceae in CD patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.246
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes2
Has abstractyes

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