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Record W4387353061 · doi:10.1126/sciadv.adi8317

Apollo-NADP <sup>+</sup> reveals in vivo adaptation of NADPH/NADP <sup>+</sup> metabolism in electrically activated pancreatic β cells

2023· article· en· W4387353061 on OpenAlexafffund
Cindy V. Bui, Curtis W. Boswell, Brian Ciruna, Jonathan V. Rocheleau

Bibliographic record

VenueScience Advances · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsHospital for Sick ChildrenToronto General HospitalDiabetes CanadaUniversity of TorontoUniversity Health Network
FundersBanting and Best Diabetes Centre, University of TorontoNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsPentose phosphate pathwayNAD+ kinaseGlycolysisBiochemistryIn vivoCell biologyCytosolBiologyChemistryMetabolismEnzymeGenetics

Abstract

fetched live from OpenAlex

Several genetically encoded sensors have been developed to study live cell NADPH/NADP + dynamics, but their use has been predominantly in vitro. Here, we developed an in vivo assay using the Apollo-NADP + sensor and microfluidic devices to measure endogenous NADPH/NADP + dynamics in the pancreatic β cells of live zebrafish embryos. Flux through the pentose phosphate pathway, the main source of NADPH in many cell types, has been reported to be low in β cells. Thus, it is unclear how these cells compensate to meet NADPH demands. Using our assay, we show that pyruvate cycling is the main source of NADP + reduction in β cells, with contributions from folate cycling after acute electrical activation. INS1E β cells also showed a stress-induced increase in folate cycling and further suggested that this cycling requires both increased glycolytic intermediates and cytosolic NAD + . Overall, we show in vivo application of the Apollo-NADP + sensor and reveal that β cells are capable of adapting NADPH/NADP + redox during stress.

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 score0.004

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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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

Citations7
Published2023
Admission routes2
Has abstractyes

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