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Record W7064380582

Branched-Chain Amino Acid Catabolism: Regulation and Effect on Insulin Resistance

2024· other· en· W7064380582 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
FundersYork University
KeywordsInsulin resistanceDownregulation and upregulationCatabolismInsulinGlucose uptakeSkeletal muscleAmino acidCarbohydrate metabolismMetabolism
DOInot available

Abstract

fetched live from OpenAlex

Insulin resistance is the reduced responsiveness of a target tissue to insulin. Insulin resistance is an underlying cause of Type 2 diabetes mellitus (T2DM) and cardiovascular diseases, two debilitating diseases. Therefore, targeting insulin resistance can help prevent the development of T2DM and cardiovascular diseases. \n\nDietary protein, and in particular branched-chain amino acids (BCAAs; leucine, valine and isoleucine) stimulate muscle protein synthesis, and regulate body weight and glucose homeostasis. However, despite these benefits, circulating levels of BCAAs and BCAA metabolites, branched-chain a-ketoacids (BCKAs) are upregulated in insulin-resistant states like T2DM. This raises the question if upregulated levels of BCAAs and BCKAs cause insulin resistance or are a symptom of insulin resistance. Numerous studies have also shown how insulin resistant states can regulate the BCAA catabolic pathway and the enzymes involved, and how targeting this pathway can provide benefits in regards to insulin resistance and its sequalae. Thus, the purpose of this dissertation is to examine the link between BCAAs and their metabolism, and insulin resistance.\n\nPrevious in vitro studies have showed that depletion of branched-chain ketoacid dehydrogenase (BCKD), the enzyme responsible for the catabolism of BCKAs, suppressed insulin-stimulated glucose uptake in L6 myotubes and the metabolite of leucine, ketoisocaproic acid (KIC) worsens it. Thus, I demonstrated that interventions that increased BCKD activity improved insulin sensitivity and attenuated the suppressive effect of KIC on insulin sensitivity in L6 myotubes. \n\nWe have previously shown that KIC reduces insulin-stimulated glucose transport in muscle cells. However, contributions from other tissues aside from skeletal muscle in BCAA metabolism emphasize the importance of studying the effect of KIC gavage in vivo as well. Whereas KIC alters insulin signaling in the liver, it did not affect whole-body insulin tolerance. \n\nFinally, since BCAA catabolism is implicated in many chronic conditions like insulin resistance, and age is a major risk factor in insulin resistance, we assessed how aging affects BCAA catabolism in both sexes. There was an increase in plasma BCAAs of old male mice, but changes in BCAA levels in plasma/tissues were not largely consistent with any changes in metabolic enzyme abundance/activity and did not correlate with changes in insulin sensitivity with sex or aging. Taken together, this thesis shows that although KIC suppresses glucose transport in vitro and its effect is attenuated by increasing BCAA oxidation, it does not affect insulin sensitivity in vivo likely due to contributions of the liver to catabolize KIC. Also, increases in plasma BCAAs seen in older male mice does not correlate with increased insulin resistance, suggesting that greater BCAAs in plasma may only be present in disease states. Together these studies suggest that altered BCAA levels do not cause insulin resistance but are a result of insulin resistance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.142
Teacher spread0.137 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

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