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Variable Intensity Exercise Increases Protein Requirements in Active Male and Female Adolescents as Determined by the Indicator Amino Acid Oxidation (IAAO) Technique

2017· article· en· W2955415589 on OpenAlexaff
Jahmal Brooks, Kim A Volterman, Daniel W. D. West, Glenda Courtney‐Martin, Paul B. Pencharz, Daniel R. Moore

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPhenylalanineIngestionAnimal scienceAmino acidMedicineIntensity (physics)Physical activityLean body massInternal medicineChemistryBiologyPhysical therapyBody weightBiochemistryPhysics

Abstract

fetched live from OpenAlex

Adolescence is characterized by the greatest increase in linear growth and accrual of fat‐free mass (FFM) during the life cycle. This growth spurt is optimized by adequate energy and protein intake. Active adolescents also display a greater FFM than their sedentary peers with the sexual dimorphism of puberty leading to a greater total gain in males than females. Given current evidence which suggest that protein requirement is higher in active adults than their sedentary counterparts, we aimed to determine the protein requirements of active, growing adolescents by utilizing the minimally invasive Indicator Amino Acid Oxidation (IAAO) technique. Fourteen active male (n=7; 13±0.6 years; 171±2.8 cm; 57.3±4.2 kg; 48.4±5.0 kg FFM; 0.3±0.2 years from peak height velocity (PHV); means±95% CI) and female (n=7; 11±0.4 years; 159±3.3 cm; 51.6±8.1 kg; 41.5±6.7 kg FFM; 0.5±0.4 years from PHV; means±95% CI) participants each underwent 6 metabolic trials that included an acute bout of a variable intensity exercise (modified Loughborough Intermittent Shuttle Test) followed by the ingestion of 8 hourly meals providing a variable amount of protein (0.2 – 2.67 g·kg −1 ·d −1 ), 6 g·kg −1 of carbohydrate, and sufficient energy to match habitual intake. Protein was provided as crystalline amino acid mixtures modeled on the basis of egg protein, with the exception of tyrosine (40 mg·kg −1 ·d −1 ) and phenylalanine (30.5 mg·kg −1 ·d −1 of which 5.46 mg·kg −1 was L‐[ 13 C] phenylalanine over the final 4 drinks). After the determination of breath 13 CO 2 enrichment by continuous‐flow isotope ratio mass spectrometry and CO 2 production by indirect calorimetry, the estimated average requirement (EAR) was determined from the breakpoint of the 13 CO 2 excretion (F 13 CO 2 ) after application of a bi‐phase linear regression. Preliminary analysis of F 13 CO 2 revealed breakpoints of 1.53 g·kg −1 ·d −1 (r 2 = 0.57) and 1.34 g·kg −1 ·d −1 (r 2 = 0.69) for males and females respectively. When normalized to FFM, the breakpoints were 1.97 ± 0.33 g·kg FFM −1 ·d −1 (r 2 = 0.68) and 1.45 ± 0.22 g·kg FFM −1 ·d −1 (r 2 = 0.63) for males and females, respectively. The breakpoints derived herein exceed current estimated breakpoint values using the IAAO method for sedentary adults and children (0.93 g·kg −1 ·d −1 , and 1.3 g·kg −1 ·d −1 respectively). Adjusting for the upper 95% CI, a recommended dietary allowance (RDA) was determined to be 1.83 g·kg −1 ·d −1 and 1.54 g·kg −1 ·d −1 for males and females respectively. Our estimate of the RDA in active adolescents exceeds the current protein RDA based on the factorial estimate of nitrogen balance for adolescents (0.9 g·kg −1 ·d −1 ), suggesting that variable intensity exercise increases daily protein requirements in active adolescents (and especially males) to potentially support greater FFM development and/or the replenishment of exercise‐induced oxidative losses. Support or Funding Information Supported by the Ajinomoto Innovation Alliance Program.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.013
GPT teacher head0.255
Teacher spread0.242 · 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 designObservational
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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