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Record W2922134032 · doi:10.1093/jcag/gwz006.033

A34 EFFECT OF AUTOPHAGY INDUCTION VIA TRPML1 ACTIVATION ON HEPATIC STEATOSIS

2019· article· en· W2922134032 on OpenAlexaff
Claudia Tersigni, Mariana Capurro, Sonya A. MacParland, Nazia Selzner-Malekkiani, Nicola L. Jones

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsAutophagySteatosisTFEBDownregulation and upregulationLysosomeATG5Cell biologyBiologyHepatocyteOil Red OLipid dropletHepatic stellate cellBAG3LAMP1Western blotChemistryEndocrinologyBiochemistryIn vitroApoptosisAdipogenesisEnzymeGene

Abstract

fetched live from OpenAlex

Extended criteria donors (ECD) are increasingly used to minimize the gap between available organs and liver transplant candidates. Steatotic liver grafts are a common type of ECD organs though they are often discarded as they are associated with poor transplant outcomes. Autophagy regulates lipid droplet (LD) accumulation in hepatocytes suggesting that altered autophagic function could be involved in the development of steatotic liver diseases. A lysosomal calcium channel, TRPML1, regulates autophagy via downstream TFEB activation and successive upregulation of autophagic and lysosomal gene expression. Therefore, we hypothesized that activation of TRPML1 via synthetic agonist ML-SA1 will attenuate hepatic steatosis by increasing autophagic flux and lysosomal function. The aims of the present study are to determine if:1)autophagic dysfunction contributes to steatosis, and 2)induction of autophagy via TRPML1 activation reduces hepatic steatosis in vitro. We established an in vitro fatty liver model by incubating a human hepatoma cell line (Hep3B cells) or isolated primary mouse hepatocytes with free fatty acids (FFA). LD accumulation was observed by BODIPY staining. To determine if autophagic flux was disrupted, Western blot (WB) for autophagy marker LC3II was performed in the presence of autophagy inhibitor, bafilomycin. To determine if TRPML1 was present and functional in Hep3B cells, cells were incubated with a bacterial toxin (VacA) that inhibits TRPML1 followed by incubation with ML-SA1. Cells were stained with LAMP1 and LC3II antibodies to visualize lysosomal and autophagy markers, respectively. WB was performed to measure levels of autophagy marker LC3II. FFA treatment in Hep3B cells induced significant LD accumulation as assessed by BODIPY staining. WB for LC3II with bafilomycin showed that a 1mM FFA concentration activates autophagy, whereas a 1.5mM FFA concentration and above disrupts autophagy. Hep3B cells incubated with the bacterial toxin VacA, displayed features consistent with disrupted TRPML1 function including enlarged LAMP1-positive vacuoles and accumulation of the autophagy marker LC3II. ML-SA1 treatment reversed vacuolation and normalized LC3II levels. These findings suggest that in a hepatocyte cell line TRPML1 activation can restore lysosomal function and autophagic flux in toxin-treated cells. We determined that in an in vitro model of hepatic steatosis, progressive accumulation of lipids is associated with disrupted autophagic flux. Furthermore, since TRPML1 is functional in a hepatocyte cell line and can be activated by the agonist ML-SA1, we can determine if ML-SA1 decreases steatosis. These studies will determine if TRPML1 could be a potential therapeutic target for reducing steatosis in ex vivo graft perfusion models to improve fatty liver grafts. CCC

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 score0.003
Threshold uncertainty score0.012

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)0.0030.000

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 head0.214
Teacher spread0.209 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

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