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AMPK Deletion in the Intestinal Epithelium Reveals Region‐Specific Roles in Health and Disease

2020· article· en· W3017366499 on OpenAlexaff
Stephanie J. King, Rocio Alvarez, Anica Becerra-Sayoc, Vinicius Canale, Christian Lytle, Russell G. Jones, Declan F. McCole

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsMcGill University
Fundersnot available
KeywordsAMPKBarrier functionIntestinal permeabilityIntestinal epitheliumChemistryColitisLamina propriaIntestinal mucosaTight junctionEndocrinologyProtein kinase AInternal medicineEpitheliumCell biologyMedicineBiologyPathologyKinaseBiochemistry

Abstract

fetched live from OpenAlex

AMP‐Activated Protein Kinase (AMPK) is a conserved energy sensor that has been suggested to modulate intestinal barrier function. Intestinal barrier function contributes to partitioning of the gut lumen and lamina propria and is primarily mediated by intestinal epithelial cell (IEC) control of permeability, ion transport, and regulation of cell turnover. Dysfunction of the intestinal barrier is a feature of pathologies such as Inflammatory Bowel Disease (IBD) and diarrhea. The aim of this study was to identify the impact of AMPK activity on intestinal barrier function by utilizing a tissue‐specific knockout mouse model lacking both AMPK‐α catalytic isoforms. Methods Intestinal epithelial‐specific AMPK knockout mice (AMPKα Δ IEC KO ) were created by crossing Prkaa1 and Prkaa2 floxed mice (AMPKα fl/fl ) with Villin‐Cre mice. Large intestine (cecum, proximal, and distal colon) was stripped of the seromuscular layer and mounted in Ussing chambers containing Kreb’s Ringer’s buffer. Transepithelial electrical resistance (TER), 4 kDa FITC‐dextran (FD4) permeability and ion transport responses to Forskolin (20 μM, bilateral) and Carbachol (300 μM, serosal) were measured. Protein expression was analyzed in isolated IECs or whole tissue by immunoblotting or by immunostaining of whole intestinal tissue. Colitis was induced by 5% Dextran Sodium Sulfate (DSS) in drinking water (ad libitum for 5 days) followed by 3 days of water. Results AMPKα Δ IEC KO mice had decreased TER only in the proximal colon vs. AMPKα fl/fl mice (p = 0.057, n = 6–7), with no change in FD4 permeability. Decreased TER in the proximal colon was associated with reduced Claudin‐4 expression. Claudin‐4 in the distal colon was significantly decreased in AMPKα Δ IEC KO mice (48% decrease, p = 0.0136, n = 5). Ion transport responses to Carbachol were increased in the cecum of AMPKα Δ IEC KO mice vs . AMPKα fl/fl mice (p = 0.012, n = 3), while Forskolin responses were unchanged. Expression of the AMPK‐regulated ion transport protein, Na + ‐K + ‐Cl − Cotransporter 1 (NKCC1) was increased in the cecum and distal colon of AMPKα Δ IEC KO vs . AMPKα fl/fl mice, thus indicating that AMPK repressed NKCC1 expression in these regions (p<0.05 ‐ p<0.001). Inflammatory challenge (DSS colitis) caused increased cell death (TUNEL staining) in cecum and distal colon but TUNEL staining was reduced in the cecum of AMPKα Δ IEC KO mice vs . AMPKα fl/fl mice (6.2‐fold, p = 0.0241, n = 2–3). Consistent with unaltered TUNEL staining in the proximal colon, the apoptosis markers cleaved caspase‐3 and PARP‐1 were also reduced in both mouse genotypes. However, despite increased TUNEL staining, these cleavage events were not increased in the cecum or distal colon of DSS‐treated mice suggesting cell death occurred by a mechanism independent of caspase‐3 and PARP cleavage. Conclusions Epithelial AMPK regulation of intestinal barrier permeability, ion transport, and inflammation‐induced cell death displays regional heterogeneity along the large intestine. Support or Funding Information NIH 2R01DK091281 (DFM)

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 score0.008

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)0.0020.001

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 head0.024
GPT teacher head0.253
Teacher spread0.228 · 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
Published2020
Admission routes1
Has abstractyes

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