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Intestinal Epithelial AMPK Does Not Protect Against High Dose DSS‐Induced Colitis in Mice

2018· article· en· W3173873367 on OpenAlexaff
Stephanie J. King, Kyrillos Girgis, Rocio Alvarez, Russell G. Jones, Declan F. McCole

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsMcGill University
FundersNational Institutes of Health
KeywordsAMPKColitisChemistryProtein kinase AAMP-activated protein kinaseKnockout mouseMedicineImmunologyKinaseBiochemistry

Abstract

fetched live from OpenAlex

AMP‐Activated Protein Kinase (AMPK) is a master regulator of cellular energy status whose activity requires α1 and α2 isoforms of the catalytic subunit. Recent evidence suggested AMPK protects against DSS‐induced colitis using villin‐Cre AMPKα1 knockout mice and nonspecific pharmacological activators. However, previous studies have not tested if both AMPKα isoforms are required for protection as α1/α2 double‐knockout is embryonic lethal in mice. Moreover, we previously showed AMPKα1 protein is increased in AMPKα2−/− mice, potentially confounding conclusions. Furthermore, the role of intestinal epithelial AMPK in inflammatory responses remains poorly understood. The goals of this study were to determine if AMPK is necessary for intestinal homeostasis and to confirm if intestinal epithelial AMPK is required for protection against colitis in a mouse model. Methods Intestinal epithelial‐specific deletion of both AMPK catalytic isoforms (AMPKα ΔIEC KO ) was generated by crossing villin‐Cre recombinase mice with Prkaa1 and Prkaa2 floxed mice (AMPKα fl/fl ). Barrier integrity and function were assessed histologically, by 40 kDa FITC‐dextran (FD4) intestinal permeability assay and by agonist stimulation of chloride secretion ex vivo in Ussing chambers. Colitis was induced with 5% dextran sulfate sodium (DSS) in drinking water for 5 days, followed by 3 days of water. Body weight, stool consistency and hemoccult were recorded daily to determine disease activity index scores. Intestinal permeability during colitis was determined by FD4 permeability. Mice were euthanized according to institutional IACUC protocols. Tissues were fixed in 4% paraformaldehyde for imaging or flash frozen for protein and RNA analysis. Results Unchallenged AMPKα ΔIEC KO mice showed no histologic changes in intestinal integrity, nor any significant change in intestinal permeability or agonist‐stimulated chloride secretion. Mice administered 5% DSS developed severe colitis indicated by dramatic weight loss and increased disease activity index score compared to untreated controls. Colitis induced similar levels of colonic shortening and increased intestinal permeability in both floxed and AMPKα ΔIEC KO mice, however AMPK‐regulated pro‐inflammatory gene expression was unchanged compared to untreated controls. Despite the lack of an overt phenotypic difference in AMPKα ΔIEC KO mice compared to AMPKα fl/fl mice, we did observe significant differences in protein expression. The tight junction protein claudin 2 was significantly decreased in proximal colon of AMPKα ΔIEC KO mice compared to AMPKα fl/fl mice without DSS challenge. Untreated and DSS‐treated AMPKα ΔIEC KO mice had decreased levels of the apoptosis markers cleaved caspase 3 in ileum, and PARP in proximal colon respectively, while cleaved caspase 3 was increased in distal colon compared to matched AMPKα fl/fl mice. Conclusion Loss of AMPK alone altered levels of claudin 2 and apoptotic markers in intestinal epithelial cells but did not alter DSS‐induced colitis severity. Support or Funding Information NIH 2R01DK091281 (DFM) This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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
Published2018
Admission routes1
Has abstractyes

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