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Record W6959279686 · doi:10.11575/prism/47430

Mechanisms of Mycophenolic Acid-Induced Gastrointestinal Toxicity and Potential Therapeutic Interventions in Primary Mouse Colonic Organoids

2024· other· en· W6959279686 on OpenAlexfundno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsOrganoidMycophenolateGuanosineIntracellularCytotoxicityMycophenolic acidToxicityBarrier function

Abstract

fetched live from OpenAlex

Mycophenolate Mofetil (MMF) is a commonly prescribed immunosuppressant that demonstrates important clinical relevance. However, MMF therapy is linked to frequent gastrointestinal (GI) side effects that limit its use. Little is known about the mechanisms underlying MMF-induced GI injury. Using a primary mouse colon organoid model, we have found that mycophenolic acid (MPA), the pharmacologically active metabolite of MMF, significantly alters intestinal barrier function and permeability through modulation of tight junctions. RNA sequencing revealed that MPA significantly disrupted pathways related to cell cycle regulation, DNA replication, cytoskeleton dynamics, and suppression of senescence. MPA was observed to significantly reduce cellular proliferation, which was ameliorated through guanosine supplementation. Addition of exogenous guanosine was also observed to significantly restore barrier function back to control levels. The guanosine studies presented in this thesis suggest MPA’s inhibition of nucleotide metabolism is not selective for lymphocytes but is broader than originally described. This work represents one of the first investigations of MPA using a colon organoid model, providing critical insights into the intracellular mechanisms of MPA-induced GI toxicity.

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 score0.003

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 head0.026
GPT teacher head0.281
Teacher spread0.255 · 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
Published2024
Admission routes1
Has abstractyes

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