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Record W2889591431 · doi:10.1091/mbc.e18-07-0434

Dysfunctional peroxisomes compromise gut structure and host defense by increased cell death and Tor-dependent autophagy

2018· article· en· W2889591431 on OpenAlexafffund
Francesca Di Cara, Margret H. Bülow, Andrew Simmonds, Richard A. Rachubinski

Bibliographic record

VenueMolecular Biology of the Cell · 2018
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchAlberta Innovates - Health SolutionsFraternal Order of Eagles
KeywordsBiologyAutophagyCell biologyDysfunctional familyProgrammed cell deathHost (biology)PeroxisomeApoptosisGeneticsGene

Abstract

fetched live from OpenAlex

The gut has a central role in digestion and nutrient absorption, but it also serves in defending against pathogens, engages in mutually beneficial interactions with commensals, and is a major source of endocrine signals. Gut homeostasis is necessary for organismal health and changes to the gut are associated with conditions like obesity and diabetes and inflammatory illnesses like Crohn's disease. We report that peroxisomes, organelles involved in lipid metabolism and redox balance, are required to maintain gut epithelium homeostasis and renewal in Drosophila and for survival and development of the organism. Dysfunctional peroxisomes in gut epithelial cells activate Tor kinase-dependent autophagy that increases cell death and epithelial instability, which ultimately alter the composition of the intestinal microbiota, compromise immune pathways in the gut in response to infection, and affect organismal survival. Peroxisomes in the gut effectively function as hubs that coordinate responses from stress, metabolic, and immune signaling pathways to maintain enteric health and the functionality of the gut-microbe interface.

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 score0.005

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.233
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".

Quick stats

Citations35
Published2018
Admission routes2
Has abstractyes

Explore more

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