Literature DB >> 31028564

Modelling of protein turnover provides insight for metabolic demands on those specific amino acids utilised at disproportionately faster rates than other amino acids.

R H Dunstan1, M M Macdonald2, G R Murphy2, B Thorn2, T K Roberts2.   

Abstract

The nitrogen balance is regulated by factors such as diet, physical activity, age, pathogenic challenges, and climatic conditions. A paradigm was developed from published recommended rates of protein intake (g/kg/day) with corresponding rates of endogenous protein turnover and excretion, to extrapolate amino acid balances under various conditions. The average proportions of amino acids in the ingested proteins representing a well-balanced diet were used to assess intake and an average human composition profile from five major high-turnover proteins in the body to assess endogenous protein turnover. The amino acid excretion profiles for urine and sweat were constructed for males and females from published data. The model calculated the nitrogen balances for a range of amino acids to determine the amino acid requirements to support daily exertion. Histidine, serine, glycine, and ornithine were in negative balances in males and females and this potential deficit was greater in the higher body-mass ranges. Conversely, leucine, isoleucine, and valine were conserved during nitrogen flux and resulted in positive balances. The model was run under a scenario of high demand for the synthesis of IgG during a response to an infectious challenge which indicated that these were increased requirements for tyrosine, threonine, and valine. It was concluded that these amino acids represent points of limitation to anabolic metabolism by restriction of their supply at critical times of demand. This would especially occur under conditions of fitness training, maintaining intensive exercise regimes, facilitating responses to pathogenic challenge, or recovery from injury.

Entities:  

Keywords:  Amino acids; Metabolic homeostasis; Metabolic modelling; Nitrogen balance; Protein turnover

Mesh:

Substances:

Year:  2019        PMID: 31028564     DOI: 10.1007/s00726-019-02734-1

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


  3 in total

1.  13C values of glycolytic amino acids as indicators of carbohydrate utilization in carnivorous fish.

Authors:  Yiming V Wang; Alex H L Wan; Åshild Krogdahl; Mark Johnson; Thomas Larsen
Journal:  PeerJ       Date:  2019-09-18       Impact factor: 2.984

2.  MicroRNAs Deregulated in Intraductal Papillary Mucinous Neoplasm Converge on Actin Cytoskeleton-Related Pathways That Are Maintained in Pancreatic Ductal Adenocarcinoma.

Authors:  Elena Fernandez-Castañer; Maria Vila-Casadesus; Elena Vila-Navarro; Carolina Parra; Juan Jose Lozano; Antoni Castells; Meritxell Gironella
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

3.  Modelling of amino acid turnover in the horse during training and racing: A basis for developing a novel supplementation strategy.

Authors:  R Hugh Dunstan; Margaret M Macdonald; Brittany Thorn; David Wood; Timothy K Roberts
Journal:  PLoS One       Date:  2020-01-03       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.