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Luc Cynober

Researcher at Paris Descartes University

Publications -  82
Citations -  1358

Luc Cynober is an academic researcher from Paris Descartes University. The author has contributed to research in topics: Ornithine & Glutamine. The author has an hindex of 17, co-authored 82 publications receiving 1299 citations. Previous affiliations of Luc Cynober include French Institute of Health and Medical Research & Centre national de la recherche scientifique.

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Plasma amino acid levels with a note on membrane transport: characteristics, regulation, and metabolic significance.

TL;DR: The plasma concentration of an amino acid (AA) is the result of its rates of appearance (Ra) in and disappearance (Rd) from plasma, and regulation of plasma AA concentrations involves hormones, in particular insulin and glucagon, and cortisol, which induce hypoaminoacidemia.
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Amino acid determination in biological fluids by automated ion-exchange chromatography: performance of Hitachi L-8500A

TL;DR: The results obtained with the Hitachi L-8500A are satisfactory when compared with those of other AA analyzers utilizing the same method and displays several advantages including programming flexibility, microsample capacity, low noise plotting, ammonia filtering, and manual repacking of the analytical column.
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Arginine metabolism in mammals

TL;DR: In the context of clinical nutrition, the use of ARG supplemented diets may be advocated while keeping in mind that in severe injury with organ failure such regimens could be detrimental.
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Evidence for the detrimental role of proteolysis during liver preservation in humans

TL;DR: Data suggest that liver proteolysis occurs during cold storage and may have a detrimental effect on the outcome after transplantation, and measurement of the amino acids in the preservation fluid at the end of the cold storage period could help to identify the most severely damaged organs.

Fat mass protects hospitalized elderly persons against morbidity and mortality 1-3

TL;DR: In this paper, the relation between body composition, based on the 4-compartment model, and morbidity and mortality in hospitalized elderly patients was evaluated, and it was shown that overweight is associated with a decreased risk of adverse events.