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Record W2793510914 · doi:10.1093/jcag/gwy009.015

A15 VITAMIN D DEFICIENCY PROMOTES INTESTINAL AUTOPHAGY DYSFUNCTION VIA EPIGENETIC REGULATION INVOLVING MIR142-3P IN VITRO AND IN VIVO

2018· article· en· W2793510914 on OpenAlexaff
Dana M. Bronte-Tinkew, Frances Dang, Anne Hsieh, L. McGillis, I Verapalan, Ryan Murchie, Mariana Capurro, Laura Greenfield, David Philpott, Nina Jones

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutophagyATG16L1Downregulation and upregulationmicroRNATransfectionWestern blotIn vivoBiologyVitaminCell biologyEndocrinologyCell cultureBiochemistryGeneApoptosisGenetics

Abstract

fetched live from OpenAlex

Growing evidence from animal and human studies indicate that vitamin D deficiency is an important environmental factor contributing to IBD pathogenesis. The exact mechanism underlying the role of vitamin D in IBD is currently unknown. We hypothesize that vitamin D deficiency reduces autophagy to promote IBD progression via a mechanism involving the upregulation of specific microRNAs. To address this hypothesis, C57BL/6 mice were fed either a vitamin D deficient or control chow diet for 5 weeks prior to extraction of the terminal ileum and colon for experimental analysis. Ileal whole tissue was analyzed via Western Blot for changes in autophagy proteins LC3-II and ATG16L1. To further explore this relationship between autophagy proteins and miRNA, bioinformatics target prediction tools were employed to identify miRNA predicted to target ATG16L1 3’UTR. A dual luciferase reporter assay was used to determine whether miR-142-3p directly targets ATG16L1 in intestinal cells. To characterize the functional effect of miR-142-3p, HTC-116 cells and intestinal organoids were transfected with either a miR mimic or the anti-miR. LC3-II and ATG16L1 levels from transfected cells were assessed by immunoblot. In addition, transfected cells were immunostained for LC3-II as a marker of autophagy. Expression of miR-142-3p in ileal whole tissue from vitamin D deficient animals was investigated via qPCR. Ileal whole tissue homogenate from vitamin D deficient animals showed decreased levels of autophagy proteins ATG16L1 and LC3-II, indicating a role for vitamin D in promoting functional autophagy in vivo. Bioinformatics target prediction tools confirmed miR 142-3p as a target for ATG16L1. It was also selected for further characterization because of its known elevated expression in animal colitis models. Delivery of miR-142-3p mimic suppressed ATG16L1-3’UTR luciferase activity in HCT-116 cells. There was a reduction in both ATG16L1 and LC3-II protein levels in miR mimic transfected intestinal organoids and HTC-116 cells relative to control cells. In addition, a reduction in LC3 puncta characteristic of autophagosomes was detected in cells transfected with miR-142-3p mimic, when compared to sham-transfected cells. Furthermore, a significant upregulation of miR142-3p expression was detected in the ileum of vitamin D deficient animals as assessed by qPCR. These results indicate that miR142-3p can directly regulate ATG16L1 and repress autophagy. Ongoing studies are assessing the correlation between vitamin D deficiency and ileal mir 142-3p levels in a cohort of paediatric IBD patients. Taken together, our study demonstrates a potential mechanism by which vitamin D deficiency influences IBD pathogenesis. CAGCrohns and Colitis

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)0.0000.001
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 head0.008
GPT teacher head0.220
Teacher spread0.212 · 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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