A245 CROHN’S DISEASE-ASSOCIATED BACTERIAL PATHOBIONT EVOKED EPITHELIAL MITOCHONDRIAL DAMAGE DRIVES TYPE I INTERFERON EXPRESSION
Bibliographic record
Abstract
Abstract Background The Crohn’s disease-associated adherent invasive E. coli (AIEC) (strain LF82) decreases mitochondrial membrane potential and fragments the epithelial mitochondrial network. Due to the evolutionary history of mitochondria as former bacteria, they present a variety of molecular patterns known to trigger innate immune responses. Specifically, mitochondrial DNA (mtDNA) released following mitochondrial damage causes upregulation of type I interferons, priming inflammatory signalling. Thus, we hypothesized that AIEC-induced mitochondrial dysfunction results in mtDNA release to activate innate immune signalling that could contribute to disease pathogenesis in the gut. Aims We aimed determine if an inflammatory response occurs downstream of mitochondrial damage evoked by E. coli-LF82 infection. Methods Control T84 epithelial cells, T84s infected E. coli-LF82 (108 cfu, MOI=100, 4h) and T84s infected with the commensal E. coli-HB101 (108 cfu for an MOI=100, 4h) were collected for protein and RNA extraction. RNA was used to measure IFNα and IFNβ expression following infection, while protein was used to measure upstream mediators including phosphorylation of TANK Binding Kinase-1 (TBK1) via Western blot. Results Epithelia infected with E. coli-LF82 but not E. coli-HB101 displayed dramatic fragmentation of their mitochondria network and increased levels of phosphorylated-TBK1 compared to control T84 cells (pampersand:003C0.01). Assessment of IFNα and IFNβ mRNA revealed significant up-regulation E. coli-LF82 infected T84 cells and human colon organoids. Conclusions Our findings identify a novel role for E. coli-LF82 in activating type I interferon response and for the first time show AIEC-induced activation of TBK1 and type I interferons, which may occur through mitochondrial damage, rather than through response to bacterial molecular patterns. As a result, our findings suggest that the AIEC colonization seen in Crohn’s disease may dysregulate inflammatory signalling through mitochondrial damage. Ultimately, we believe this dysregulation of inflammatory signalling may sensitize the host to further inflammatory signalling, contributing to the pathogenesis of inflammatory bowel disease. Funding Agencies CIHR
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".