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Record W2745226686 · doi:10.1002/1873-3468.12777

Physiological levels of formate activate mitochondrial superoxide/hydrogen peroxide release from mouse liver mitochondria

2017· letter· en· W2745226686 on OpenAlexafffund
Adrian Young, Danielle Gardiner, Margaret E. Brosnan, John T. Brosnan, Ryan J. Mailloux

Bibliographic record

VenueFEBS Letters · 2017
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsSodium formateFormateChemistrySuperoxideHydrogen peroxideMitochondrionBiochemistryFormate dehydrogenasePyruvate dehydrogenase complexCytochrome c oxidaseCatalaseMetaboliteMetabolismEnzymeInorganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Here, we found that formate, an essential one‐carbon metabolite, activates superoxide ( )/hydrogen peroxide (H2O2) release from mitochondria. Sodium formate (30 μm) induces a significant increase in /H2O2 production in liver mitochondria metabolizing pyruvate (50 μm). At concentrations deemed to be toxic, formate does not increase /H2O2 production further. It was observed that the formate‐mediated increase in /H2O2 production is not associated with cytochrome c oxidase (COX) inhibition or changes in membrane potential and NAD(P)H levels. Sodium formate supplementation increases phosphorylating respiration without altering proton leaks. Finally, it was observed that the 2‐oxoglutarate dehydrogenase (OGDH) inhibitors 3‐methyl‐2‐oxovaleric acid (KMV) and CPI‐613 inhibit the formate‐induced increase in pyruvate‐driven ROS production. The importance of these findings in one‐carbon metabolism and physiology are discussed herein.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.028
GPT teacher head0.244
Teacher spread0.216 · 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

Citations26
Published2017
Admission routes2
Has abstractyes

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