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Record W4407285182 · doi:10.1093/jcag/gwae059.019

A19 INTERLEUKIN-6 AND INTERLEUKIN-22 MEDIATE DISTICT REGULATION OF MITOCHONDRIAL DYNAMICS IN PATHOBIONT INFECTED GUT EPITHELIA

2025· article· en· W4407285182 on OpenAlexafffund
Saranya Navaneetha Krishnan, A Wang, Timothy E. Shutt, Derek M. McKay

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsInterleukin 1βInterleukinDynamics (music)BiologyInterleukin 15Cell biologyImmunologyCytokinePsychology

Abstract

fetched live from OpenAlex

Abstract Background The IBD-associated pathobiont attaching-invading Escherichia coli (AIEC) strain LF82 induces mitochondrial fragmentation and depolarization in epithelial cells, resulting in impaired ATP production and reduced barrier function. Interleukin (IL)-6 and IL-22 are omnipresent in the inflamed gut, can directly affect epithelial function and both mobilize STAT-3, the serine727 phosphorylated form of which can translocate to mitochondria. Thus, we posed the question, will IL-6 or IL-22 rescue or exaggerate the mitochondrial damage evoked by exposure to E. coli-LF82? Aims 1. To determine if IL-6 and IL-22 modulate mitochondrial function during E. coli-LF82 infection 2. To assess the mechanisms by which IL-6 and IL-22 affect mitochondrial function in model gut epithelia Methods Human colon-derived T84 epithelial cells were infected with E. coli-LF82 (108 CFU/mL, 4h) ± a 18h pre-treatment and then co-treatment with IL-6 or IL-22 (both 10 ng/mL). Bacterial internalization was evaluated, and mitochondrial network morphology visualized with MitoTracker Red and confocal microscopy. Mitochondrial membrane potential was evaluated using TMRE staining and flow cytometry, and ATP measured by a luminescence assay. STAT3 phosphorylation (S727 and Y705) in whole-cell extracts was determined via western blot in response to IL-6 or IL-22 during E. coli-LF82 infection. Results IL-6 inhibited E. coli-LF82 evoked mitochondrial fragmentation, with significantly more cells showing a fused tubular pattern: mitochondrial membrane potential was restored by ~50% and ATP depletion was less severe (n=5). IL-6 elicited increased pS727-STAT3. In contrast, IL-22 failed to prevent any of the mitochondrial changes caused by E. coli-LF82, did not cause increased pS727-STAT3 but bioactivity was confirmed by increased pY705-STAT3. IL-6, but not IL-22, reduced the number of viable intracellular bacteria without affecting bacterial growth and increased markers of autophagy activation. Conclusions We have uncovered divergent effects of the STAT3 activators, IL-6 and IL-22, in the control of epithelial mitochondrial dynamics and function when challenged with a bacterial pathobiont. We speculate that IL-6 limits the effects of E. coli-LF82 via mitochondrially-directed pS727-STAT3 signaling and upregulation of autophagy. Understanding the precise role of STAT3- activating cytokines signaling in mitochondrial regulation could reveal new target to enhance epithelial barrier function. Funding Agencies CIHR

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.003
GPT teacher head0.212
Teacher spread0.210 · 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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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