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Abstract 11802: IRF2BP2 Regulates Hormone Sensitive Lipase and Lipolysis in Human Adipocytes and in Mice

2023· article· en· W4389953488 on OpenAlexaff
Chen Yang, Lin Liu, David J. Steger, Lan Cheng, Alexandre F.R. Stewart, Patrick Seale

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLipolysisAdipocyteAdipose triglyceride lipaseHormone-sensitive lipaseInternal medicineEndocrinologyAdipose tissueBiologyLipodystrophyChromatin immunoprecipitationPerilipinLipoprotein lipaseMedicineGene expressionBiochemistryImmunologyGenePromoter

Abstract

fetched live from OpenAlex

Background: IRF2BP2, a transcriptional co-factor, has emerged as a potential regulator of circulating lipid levels based on several coronary artery disease (CAD) genome-wide association studies (GWAS) studies. However, the role of IRF2BP2 in adipocytes, which regulate fat storage, energy expenditure, and fatty acid release, remains unexplored. Our aim is to investigate the role of IRF2BP2 in adipocyte function regulation. Methods: Human adipocyte stem cells (hASC) were differentiated into adipocytes for in vitro studies. We used the CRISPR system and lentiviral expression constructs to knockout (KO) and overexpress (OE) IRF2BP2. Control, IRF2BP2 KO and IRF2BP2 OE adipocytes were assessed by several methods, including RNA-seq, western blot analysis, and functional assessment of lipolysis and glucose uptake. IRF2BP2 chromatin immunoprecipitation (ChIP)-seq was performed in vitro . Adiponectin-Cre mice were crossed with Irf2bp2 flox/flox mice to generate adipocyte-specific KO (AKO) animals. We evaluated the effect of IRF2BP2 KO on adipose morphology and gene profiles. Circulating fatty acids were assessed in control and AKO mice. Results: IRF2BP2 deletion or OE in hASC-differentiated adipocytes did not affect adipocyte differentiation or glucose uptake. However, triglyceride lipolysis was markedly increased in KO cells. Conversely, IRF2BP2 OE suppressed lipolysis. RNA-seq analysis of control vs. IRF2BP2 KO or OE cells identified the enrichment of lipid catabolic pathways. Notably, IRF2BP2 KO upregulated, whereas IRF2BP2 OE downregulated the mRNA and protein levels of LIPE (i.e. hormone sensitive lipase, or HSL). Further, ChIP-seq analysis demonstrates strong binding of IRF2BP2 to a LIPE enhancer, suggesting direct regulation. In mice, Irf2bp2 AKO increased circulating fatty acids, accompanied by a reduction of adipocyte size. LIPE mRNA and protein expression in adipose tissue was also elevated. Finally, Irf2bp2 AKO induces massive adipose tissue inflammation, evidenced by F4/80 staining and chemotaxis gene markers expression. Conclusions: We established IRF2BP2, as a novel transcriptional regulator of adipocyte lipolysis, through the key lipolytic gene LIPE, which may shed light on deciphering the role of IRF2BP2 in CAD.

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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)0.001
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 score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.006

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 head0.010
GPT teacher head0.262
Teacher spread0.252 · 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
Published2023
Admission routes1
Has abstractyes

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