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Record W2767514675 · doi:10.1002/nbm.3845

Probing the cardiac malate–aspartate shuttle non‐invasively using hyperpolarized [1,2‐<sup>13</sup>C<sub>2</sub>]pyruvate

2017· article· en· W2767514675 on OpenAlexafffund
Albert P. Chen, Angus Lau, Yiping Gu, Marie Schroeder, Jennifer Barry, Charles H. Cunningham

Bibliographic record

VenueNMR in Biomedicine · 2017
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsSunnybrook Health Science CentreSunnybrook HospitalUniversity of TorontoGeneral Electric (Canada)
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsCitric acid cycleMalate dehydrogenasePyruvate dehydrogenase complexCytosolFlux (metallurgy)FumarasePyruvate decarboxylationBiochemistryPyruvic acidChemistryMetaboliteTricarboxylic acidGlutamate receptorGlutamate dehydrogenaseMetabolismEnzyme

Abstract

fetched live from OpenAlex

Previous studies have demonstrated that using hyperpolarized [2‐ 13 C]pyruvate as a contrast agent can reveal 13 C signals from metabolites associated with the tricarboxylic acid (TCA) cycle. However, the metabolites detectable from TCA cycle‐mediated oxidation of [2‐ 13 C]pyruvate are the result of several metabolic steps. In the instance of the [5‐ 13 C]glutamate signal, the amplitude can be modulated by changes to the rates of pyruvate dehydrogenase (PDH) flux, TCA cycle flux and metabolite pool size. Also key is the malate–aspartate shuttle, which facilitates the transport of cytosolic reducing equivalents into the mitochondria for oxidation via the malate–α‐ketoglutarate transporter, a process coupled to the exchange of cytosolic malate for mitochondrial α‐ketoglutarate. In this study, we investigated the mechanism driving the observed changes to hyperpolarized [2‐ 13 C]pyruvate metabolism. Using hyperpolarized [1,2‐ 13 C]pyruvate with magnetic resonance spectroscopy (MRS) in the porcine heart with different workloads, it was possible to probe 13 C–glutamate labeling relative to rates of cytosolic metabolism, PDH flux and TCA cycle turnover in a single experiment non‐invasively. Via the [1‐ 13 C]pyruvate label, we observed more than a five‐fold increase in the cytosolic conversion of pyruvate to [1‐ 13 C]lactate and [1‐ 13 C]alanine with higher workload. 13 C–Bicarbonate production by PDH was increased by a factor of 2.2. Cardiac cine imaging measured a two‐fold increase in cardiac output, which is known to couple to TCA cycle turnover. Via the [2‐ 13 C]pyruvate label, we observed that 13 C–acetylcarnitine production increased 2.5‐fold in proportion to the 13 C–bicarbonate signal, whereas the 13 C–glutamate metabolic flux remained constant on adrenergic activation. Thus, the 13 C–glutamate signal relative to the amount of 13 C–labeled acetyl‐coenzyme A (acetyl‐CoA) entering the TCA cycle was decreased by 40%. The data strongly suggest that NADH (reduced form of nicotinamide adenine dinucleotide) shuttling from the cytosol to the mitochondria via the malate–aspartate shuttle is limited on adrenergic activation. Changes in [5‐ 13 C]glutamate production from [2‐ 13 C]pyruvate may play an important future role in non‐invasive myocardial assessment in patients with cardiovascular diseases, but careful interpretation of the results is required.

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)0.000
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 score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.292
Teacher spread0.266 · 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

Citations10
Published2017
Admission routes2
Has abstractyes

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