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Record W7132909797

Exploring β-cell NADPH production and glucose-stimulated insulin secretion in proinflammatory cytokine induced stress

2024· dissertation· W7132909797 on OpenAlexfundno aff
Mahnoor Memon

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsProinflammatory cytokineInflammationInsulinNitric oxide synthaseNicotinamide adenine dinucleotide phosphateNitric oxidePancreatic isletsOxidative stressSecretionGlycolysis
DOInot available

Abstract

fetched live from OpenAlex

The role of inflammation in the pathophysiology of Type I (T1D) and Type II diabetes (T2D) has prompted research into targeting inflammation to improve disease prevention and management. Pancreatic β cells respond to elevated blood glucose levels by releasing insulin hormone in a rapid first-phase burst followed by a sustained second phase. Loss of first-phase insulin secretion is both a predictor of the onset of T1D and a marker of early stages of T2D, highlighting the importance of the metabolic flux of first-phase response to the disease. Additionally, during inflammatory stress, the need for antioxidant defense through nicotinamide adenine dinucleotide phosphate (NADPH) is high, however it is unclear how the β cell responds to these needs. This thesis focuses on studying glucose-stimulated metabolism in a model of β-cell inflammation and investigates the dynamics of NADPH/NADP+ for antioxidant defense and the impact on glucose-stimulated insulin secretion. To investigate NADPH/NADP+ redox dynamics in stressed β cells, we used live-cell imaging of the Apollo-NADP+ sensor in mouse pancreatic β cells treated with pro-inflammatory cytokines (hereby referred to as PIC; Tumour Necrosis Factor alpha (TNF-α), Interferon‐gamma (IFN-γ), Interleukin-1beta (IL-1β)) and showed a diminishment in NADP+ reduction. We show a loss or muted glucose-stimulated insulin secretion (GSIS) in PIC-treated islets using our insulin secretion chip (InsC-Chip), suggesting a loss of glycolytic flux. This response was recovered with an inducible nitric oxide synthase (iNOS) inhibitor, N(G)-Nitro-L-arginine methyl ester (L-NAME) suggesting a role for iNOS induction in the loss of β-cell function. β-cells normally reduce NADP+ via mitochondrial pyruvate cycling. However, inhibitor studies in PIC-treated β-cells showed that NADP+ reduction mainly occurs through the pentose phosphate pathway (PPP) and citrate cycling (supplied by glutamate). Our data also suggested lower NADP+ pools in PIC-stressed β cells, which may be a limiting factor in NADP+ reduction. Lower NADP+ pools suggested diminished nicotinamide adenine dinucleotide (NAD+) in PIC, which we confirmed in PIC-treated INS1 cells. NADP+ pools were recovered with L-NAME (an iNOS inhibitor) and N-acetylcysteine (NAC; NF-κB inhibitor and reactive oxygen species (ROS) scavenger), suggesting their activation in cytokine-induced stress. Based on our findings, β-cells metabolically adapt to pro-inflammatory cytokines with reduced NADP+ availability, diminished redox factors NAD+ and NADP+, and impaired insulin secretion. We propose that this metabolic adaptation to NADP+ reduction could limit glycolytic flux to limit insulin secretion.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.055
GPT teacher head0.303
Teacher spread0.248 · 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
Published2024
Admission routes1
Has abstractyes

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