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Record W4388540132 · doi:10.1093/jas/skad281.140

62 Sulphur Amino Acids: Assessing Requirements and Utilization in Dogs and Cats

2023· article· en· W4388540132 on OpenAlexaboutno aff
Júlia Guazzelli Pezzali

Bibliographic record

VenueJournal of Animal Science · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsTaurineMethionineCATSAmino acidCysteineSulfurBiochemistryHomocysteineChemistryBiologyInternal medicineMedicineEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Methionine (Met), cyst(e)ine (Cys), homocysteine and taurine are the four sulfur-containing amino acids. Met can serve as a substrate for protein synthesis or to produce homocysteine, which can be remethylated to Met or irreversibly catabolized to Cys. Unlike dogs, cats are unable to further metabolize Cys to taurine, making the latter an indispensable amino acid for the cat. Met, on the other hand, is a dietary indispensable amino acid for all mammals with Cys having the ability to spare part of the Met requirement (total sulfur amino acid requirement; Met + Cys). The amount of Met that cannot be replaced by Cys is defined as the Met requirement (NRC, 2006). Empirical determinations of the Met requirement in adult dogs and cats are still limited and the recommendations proposed by the NRC (2006) are based on studies that used insensitive techniques for mature animals. When a more robust technique, the indicator amino acid oxidation, and more practical experimental diets were used to empirically determine the Met requirement, a greater estimate was found in adult cats (Pezzali et al., 2022) and adult Labrador Retrievers and Beagles, but not in miniature Dachshunds (Mansilla et al., 2020), compared with the current recommendations proposed by the NRC (2006) and AAFCO (2023). Harrison et al. (2020), however, found a decreased estimate for the Met requirement in adult Labrador Retrievers compared with Mansilla et al. (2020), likely due to differences in experimental design and diet composition. This discrepancy highlights the need to standardize methodologies and to investigate the effect of other dietary factors on the Met and total sulfur amino acid requirements owing to their complex metabolism. Indeed, the metabolism of sulfur amino acids may differ between dog breeds, resulting in differences in Met requirements and potentially making taurine a conditionally indispensable amino acid in some breeds under specific dietary conditions. While dietary Met is usually provided in excess in commercial diets, excess of Met may lead to hyperhomocysteinemia, which has been associated with detrimental health effects in other species. Due to the complex metabolism of sulfur amino acids and the complex matrix of pet foods, determining the ideal provision of sulfur amino acids in commercial diets to maximize animal health is a challenge. More long-term studies investigating the effect of different doses and ratios (Met:Cys) of sulfur amino acids on overall metabolism are necessary, in addition to requirement studies, to optimize the dietary delivery of sulfur amino acids in dogs and cats.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.047
GPT teacher head0.349
Teacher spread0.302 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Animal Science→Same topicMetabolism and Genetic Disorders→French-language works237,207→