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Record W3133905104 · doi:10.1093/jcag/gwab002.047

A49 BUTYRATE PRESERVES THE EPITHELIAL MITOCHONDRIAL NETWORK DISRUPTED BY THE CROHN’S DISEASE PATHOBIONT ADHERENT-INVASIVE <i>E. COLI</i>

2021· article· en· W3133905104 on OpenAlexaff
Samira Hamed, A wang, Jane Shearer, Timothy E. Shutt, Derek M. McKay

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiologyFIS1MitochondrionButyrateCell biologyMitochondrial biogenesismitochondrial fusionBiogenesisMicrobiologyMitochondrial DNABiochemistryGene

Abstract

fetched live from OpenAlex

Abstract Background Mitochondria exist in a dynamic network that undergoes continuous cycles of fission and fusion that is tightly controlled. Mitochondrial dysfunction is implicated in several autoimmune and inflammatory diseases. Adherent-invasive E. coli (AIEC) is a pathogenic strain of bacteria associated with Crohn’s disease (CD), that can evoke pro-inflammatory responses. Data from our lab showed that AIEC (strain LF82) infection in gut epithelial cells (T84 human cell line) caused dramatic mitochondrial network fragmentation and loss of mitochondrial membrane potential. Short chain fatty acids (SCFA) produced by commensal bacteria in the gut have a wide range of benefits including enhancing mitochondrial biogenesis. Aims To determine (1) if sodium butyrate (NaB) treatment can protect against mitochondrial dysfunction induced by AIEC (strain LF82) infection in T84 epithelial cells and then (2) to identify the mechanism by which NaB restores mitochondrial functions. Methods We assessed changes in mitochondrial network morphology through confocal microscopy live cell imaging of mitotracker-stained T84 epithelial cells based on unbiased Hoechst-stained nuclei to select the field of view. The effect of NaB on the proliferation of bacteria and their invasion of T84-epithelia was assessed by growth curve analysis and bacterial internalisation assays. Finally, mRNA and protein expression of peroxisome proliferating activator receptor gamma co-activator 1 alpha (PGC1α), a regulator of mitochondrial biogenesis, were assessed by qPCR and Western Blot. Results We confirmed that AIEC infection (strain LF82, 108cfu, 4h) induces massive mitochondrial fragmentation in T84 cells (2x105). We also found that cotreatment of T84 cells with NaB (10mM) and LF82 showed increased percentage of fused mitochondrial networks compared to LF82-treated cells. This result was also seen in cells treated with mitochondrial uncoupler dinitrophenol (DNP; 0.1 mM, 2h) and NaB. Moreover, the protective effect of NaB was not related to inhibition of proliferation of the bacteria as we demonstrated that LF82 growth and its invasive phenotype was not compromised by NaB (3-20mM; 0-24hr). In agreement with the effect of LF82 on mitochondrial functions, LF82 significantly reduced PGC1α mRNA expression in T84 cells, that was prevented by co-treatment with NaB. Conclusions These data suggest the pathogen disruption of the epithelial mitochondrial network is a component of IBD; thus, identifying mitochondrial fission and fusion pathways as novel therapeutic targets to control enteric inflammation. The data underscore the complex interplay between bacteria and the epithelium, such that commensal organisms may preserve the mitochondrial network in the face of challenge from pathogens that seek to disrupt mitochondrial form and 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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.214
Teacher spread0.208 · 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
Published2021
Admission routes1
Has abstractyes

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