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Record W2761566202 · doi:10.24870/cjb.2017-a130

Plant extract AE11 acts as a potent modulator of adipocyte development and function

2017· article· en· W2761566202 on OpenAlexvenueno aff
Anuj Kumar Borah, Sougata Saha

Bibliographic record

VenueCanadian Journal of Biotechnology · 2017
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsAdipocyteFunction (biology)Cell biologyBiologyChemistryEndocrinologyAdipose tissue

Abstract

fetched live from OpenAlex

Use of herbal formulation to modulate adipocyte development and function has been argued as a potent strategy to tackle alarmingly increasing problem of obesity and associated disease like type 2 diabetes and other cardiovascular problems. However, till date no single formulation exists with good efficacy and little side effects. In this study we are investigating the effect of AE11 (6% v/v, nontoxic to 3T3-L1), a plant extract prepared using cold maceration of shade dried leaves of a common flowering plant of Lakhimpur district of Assam, on 3T3-L1 pre-adipocyte differentiation and function. AE11 very efficiently decreased lipid accumulation in differentiating 3T3-L1 cells. To understand the mechanism of such inhibition, we performed gene expression analysis using semi-quantitative PCR for adipogenic master regulator PPAR1 and PPAR2A marked reduction in expression of both of the genes were observed in AE11 treated differentiating 3T3-L1 cells. Western blot analysis confirmed reduction of the two factors at protein level as well. Not surprisingly PPARdownstream GLUT4, PLN1, FABP4, FAS and LPL mRNA content was also reduced in treated groups. Interestingly mRNA content of the transcription factor GATA2, which is a negative regulator of PPAR expression and is normally downregulated during adipogenesis, found to be very high in the AE11 treated cells. This raised a possibility of GATA2 mediated downregulation of PPAR in AE11 treated groups. GATA3 mRNA content was however not different in treated and untreated groups. mRNA of CCAAT enhancer binding protein (CEBP) which is a positive regulator of PPARexpression was decreased by AE11 exposure to 3T3-L1 cells during differentiation. AE11 targeted the expression of another positive regulator of PPAR expression, SREBP1c. SREBP1c mRNA content was decreased upon AE11 treatment in differentiating 3T3-L1 cells. These preliminary results suggest AE11 is an effective modulator of adipocyte development and function by targeting positive and negative regulators of PPAR gene expression. The authors thank Department of Biotechnology (DBT) for providing fellowship and funds to carry out the work.

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 score0.007

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)0.0020.000

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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
Published2017
Admission routes1
Has abstractyes

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