Literature DB >> 1011541

Plasma amino acids in children and adolescents on hemodialysis.

R Counahan, M El-Bishti, B D Cox, C S Ogg.   

Abstract

Fasting plasma amino acid concentrations were measured in 16 children on regular hemodialysis for renal failure. Reductions compared to normal were found in valine, leucine, isoleucine, lysine, histidine, tyrosine, and serine; and increases were found in glycine, citruline, proline, and 1- and 3-methylhistidine. Acute reductions in amino acid concentrations occurred in response to i.v. glucose, similar to those reported in normal adults, but plasma alanine, which was raised only in those with poor glucose tolerance, fell to normal and did not vary in those with normal glucose tolerance. No correlations were found with growth, but the plasma glycine concentration was highest in those patients with poorest energy intakes. Plasma alanine concentrations correlated with raised triglyceride concentrations. It is suggested that many of the abnormalities are due to the excessive utilization of protein for energy because of impaired availability of conventional energy sources in uremia.

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Year:  1976        PMID: 1011541     DOI: 10.1038/ki.1976.134

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  3 in total

1.  Intracellular amino acid concentrations in children with chronic renal insufficiency.

Authors:  J Kist-van Holthe tot Echten; J G Huijmans; W C Hop; L A Monnens; M C de Jong; C M Noordzij; R Slotema; J Nauta; E D Wolff
Journal:  Pediatr Nephrol       Date:  1996-02       Impact factor: 3.714

Review 2.  Nutritional management of children with chronic renal failure. Summary of the task force on nutritional management of children with chronic renal failure.

Authors:  S Hellerstein; M A Holliday; W E Grupe; R N Fine; R S Fennell; R W Chesney; J C Chan
Journal:  Pediatr Nephrol       Date:  1987-04       Impact factor: 3.714

3.  Identification of biomarkers for development of end-stage kidney disease in chronic kidney disease by metabolomic profiling.

Authors:  Tomonori Kimura; Keiko Yasuda; Ryohei Yamamoto; Tomoyoshi Soga; Hiromi Rakugi; Terumasa Hayashi; Yoshitaka Isaka
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

  3 in total

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