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Record W7132918224

The Effect of β-cell Specific ZnT8 Deficiency on Insulin Secretion

2020· dissertation· W7132918224 on OpenAlexafffund
Anne Ying Wu

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldNursing
TopicTrace Elements in Health
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchBanting and Best Diabetes Centre, University of TorontoNovo Nordisk
KeywordsHaploinsufficiencyInsulinDiabetes mellitusHomeostasisGlucose homeostasisGene knockdownType 1 diabetes
DOInot available

Abstract

fetched live from OpenAlex

Zinc plays a role in insulin processing, storage, and secretion. Zinc transport processes may be linked to defects in insulin secretion associated with type 2 diabetes (T2D). Indeed, ZnT8, a zinc influx transporter highly expressed in pancreatic β-cells, is associated with T2D risk. Presently, the role ZnT8 plays in diabetes progression and whether altered ZnT8 activity affects T2D risk/treatment is controversial. The effects of ZnT8 knockdown in mouse are modestly to severely deleterious, whereas in humans, ZnT8 loss-of-function haploinsufficiency appears to reduce diabetes risk. A β-cell specific ZnT8 knockout and haploinsufficiency model were developed and examined under normal and metabolically stressed conditions. Mice with reduced ZnT8 did not have significantly impaired glucose homeostasis or β-cell function compared to controls under normal and conditions of acute insulin resistance. Overall, pancreatic β-cell ZnT8 deletion or knockdown did not impair β-cell function, nor was it protective of hyperglycaemia associated with 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 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 score0.003
Threshold uncertainty score0.011

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.342
Teacher spread0.324 · 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
Published2020
Admission routes2
Has abstractyes

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