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Record W2614394717 · doi:10.1249/mss.0000000000001321

Beetroot Juice Increases Human Muscle Force without Changing Ca2+-Handling Proteins

2017· article· en· W2614394717 on OpenAlexaff
Jamie Whitfield, Daniel Gamu, George J. F. Heigenhauser, Luc J. C. van Loon, Lawrence L. Spriet, A. Russell Tupling, Graham P. Holloway

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsMcMaster UniversityUniversity of WaterlooUniversity of Guelph
Fundersnot available
KeywordsChemistryCalciumStimulationGlutathioneSkeletal muscleInternal medicineEndocrinologyBiochemistryMedicineEnzyme

Abstract

fetched live from OpenAlex

Dietary inorganic nitrate (NO3) supplementation improves skeletal muscle (SkM) contractile efficiency, and although rodent literature has suggested improvements in calcium handling or redox modifications as likely explanations, the direct mechanism of action in humans remains unknown. PURPOSE: This study aimed to examine the effects of 7 d of beetroot juice (BRJ) supplementation on SkM contractile characteristics and function. METHODS: Recreationally active males (n = 8) underwent transcutaneous electrical muscle stimulation of the vastus lateralis for the evaluation of contractile characteristics before and after 7 d of BRJ supplementation (280 mL·d, ~26 mmol NO3). An additional group of individuals (n = 8) followed the same supplementation protocol but underwent SkM biopsies pre- and post-supplementation for the determination of proteins associated with calcium handling via Western blotting, and the ratio of reduced/oxidized glutathione (GSH:GSSG), an indicator of cellular redox state, via high-performance liquid chromatography (HPLC). RESULTS: After supplementation, there was no change in maximal voluntary force production (602 ± 50 vs 596 ± 56 N) or electrically induced tetanic contractions. By contrast, force production was increased at 10 Hz electrical stimulation (41.1% ± 2.3% vs 37.6% ± 2.4% of peak force, P < 0.05), as was peak twitch tension (164.0 ± 12.5 vs 136.5 ± 7.2 N, P < 0.01) and maximal rates of force development and relaxation (3582.8 ± 382.3 vs 2575.7 ± 196.2 and -2752.4 ± 423.9 vs -2104.4 ± 249.0 N·s, respectively, P < 0.05). Despite these measurements implicating a change in calcium handling, the content of associated proteins (SERCA1a, SERCA2a, dihydropyradine receptor, ryanodine receptor, and calsequestrin) and the GSH:GSSG ratio were unaltered by BRJ. CONCLUSION: BRJ supplementation increases force production at low-stimulation frequencies; however, in human SkM, this is independent of changes in redox stress or the expression of protein targets associated with calcium handling.

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 score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.037
GPT teacher head0.318
Teacher spread0.281 · 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

Citations82
Published2017
Admission routes1
Has abstractyes

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