MétaCan
Menu
Back to cohort
Record W2069668072 · doi:10.2174/187221410791196597

Protein Modification by β-N-Acetyl Glucosamine (O-GlcNAc) in Insulin Signaling and Insulin Resistance

2010· article· en· W2069668072 on OpenAlexaff
Sudharsana Rao Ande, Suresh Mishra

Bibliographic record

VenueRecent Patents on Endocrine Metabolic & Immune Drug Discovery · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInsulin resistanceSignal transductionPhosphorylationSerineBiologyInsulinInsulin receptorThreonineType 2 diabetesBiochemistryDiabetes mellitusCell biologyEndocrinology

Abstract

fetched live from OpenAlex

An enzymatic posttranslational modification of proteins at serine or threonine residue by β-N-acetyl glucosamine (GlcNAcylation, also known as O-GlcNAc modification), a product of hexosamine biosynthetic pathway (HBP), has been emerging as a fundamental regulatory mechanism like protein phosphorylation. A significant surge in the information in recent years due to technological advancement has implicated an important role for GlcNAcylation in a wide variety of cellular processes including cell division, metabolism, signal transduction and transcription. Furthermore, GlcNAcylation in proteins has been found to be intimately associated with phosphorylation which is one of the most diverse regulatory mechanisms in the biological system. Therefore, it is likely that altered protein GlcNAcylation may underlie etiology of various diseases including type 2 diabetes. Emerging evidence strongly indicates a role for GlcNAcylation in the development of insulin resistance, a hallmark of type 2 diabetes. Recent findings on protein GlcNAcylation, especially in relation to insulin signaling and insulin resistance have regenerated an immense interest in this field; which was first reported in early nineties. Here we summarize recent development in this area along with unanswered questions and future direction at the end. Some of the recently patented technologies in relation to GlcNAcylation are also summarized in this review. Further investigations in this area are timely and of critical importance with continuous increase in the incidence of type 2 diabetes and diabetes associated complications worldwide. A better understanding of the underlying mechanisms may provide new opportunities for the prevention and treatment of type 2 diabetes. Keywords: Glucose, GlcNAc, GlcNAc transferase, GlcNAc amidase, GlcNAcylation, glycation, hexosamine biosynthetic pathway, insulin resistance, insulin signaling, phosphorylation, posttranslational modification, protein-protein interaction, type 2 diabetes, tyrosine phosphorylation

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 categoriesMeta-epidemiology (narrow)
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 score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.015
GPT teacher head0.273
Teacher spread0.258 · 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 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueRecent Patents on Endocrine Metabolic & Immune Drug DiscoverySame topicGlycosylation and Glycoproteins ResearchFrench-language works237,207