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Record W2980913517 · doi:10.1161/res.125.suppl_1.847

Abstract 847: Adipocyte-specific Pharmacological Inhibition of Adipose Triglyceride Lipase (ATGL) Ameliorates Cardiac Fibrosis in Heart Failure

2019· article· en· W2980913517 on OpenAlexaff
Shingo Takahara, Shubham Soni, Nikole J. Byrne, Nirmal Parajuli, Zaid H. Maayah, Mourad Ferdaoussi, Jody Levasseur, Anna Katharina Migglautsch, Rolf Breinbauer, Jason R.B. Dyck

Bibliographic record

VenueCirculation Research · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAdipose triglyceride lipaseLipolysisInternal medicineEndocrinologyAdipocyteFibrosisSirius RedHeart failureAdipose tissueMedicineLipotoxicityCardiac fibrosisTriglycerideHormone-sensitive lipaseInsulinInsulin resistance

Abstract

fetched live from OpenAlex

Objectives: ATGL is a key enzyme that regulates triglyceride lipolysis in most cells, including the adipocyte and the cardiomyocyte. Recent studies indicate that accelerated adipose tissue lipolysis contributes to worsening heart failure (HF), suggesting that ATGL inhibition specifically in the adipocyte may prevent worsening HF. Indeed, we have shown that the ATGL inhibitor, Atglistatin, which appears to be largely adipocyte-specific, ameliorates cardiac dysfunction and hypertrophy in HF induced by transverse aortic constriction (TAC). However, the mechanisms by which Atglistatin treatment prevents worsening HF in mice remains unknown. Methods: Eight week-old C57BL/6N mice underwent TAC or sham surgery. After 1 week, mice with HF were assigned into 4 groups: 1) vehicle (standard chow)-sham, 2) Atglistain-sham, 3) vehicle-TAC and 4) Atglistatin-TAC. Atglistain was administered in food pellets containing 2mmol Atglistatin/kg for 2 weeks. Thereafter, mice were euthanized and hearts were used for subsequent histological and quantitative PCR analysis. Results: Picro-sirius red staining demonstrated that hearts from the Atglistatin TAC mice had significantly less cardiac fibrosis than the vehicle TAC mice (1.6±0.4 vs 5.3±1.1%, in Atglistatin TAC vs vehicle TAC; p<0.01). Consistent with this finding, Atglistatin treatment of the TAC group reduced transcript levels of fibrosis-related genes, including Col1a1 (-58.7%, p=0.03) and Postn (-54.7%, p<0.01), compared to vehicle-treated hearts. Furthermore, Atglistatin decreased the transcript levels of the macrophage polarization-related genes, including Lgals3 (-55.3%, p<0.01) and Spp1 (-38.7%, p=0.03) , in the hearts from TAC mice compared to controls. Moreover, immunofluorescent analysis showed that Atglistatin reduced infiltration of Galectin-3 positive macrophages in the heart compared to vehicle-TAC mice, suggesting reduced macrophage infiltration and activation and less cardiac fibrosis. Conclusion: Our data indicate that reducing triglyceride lipolysis in the adipose tissue via ATGL inhibition may ameliorate HF via modulation of HF-induced macrophage and fibroblast activation in the heart.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.047
GPT teacher head0.341
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designObservational
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

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