Literature DB >> 24190671

Levels of amino acids in 52 discrete areas of postmortem brain of adult and aged humans.

M Banay-Schwartz1, M Palkovits, A Lajtha.   

Abstract

In a series of studies we have analyzed the regional distribution of the free amino acid pool in 52 discrete areas of postmortem brain of adult and aged humans. Here we show the distribution of eleven amino acids: alanine, methionine, valine, leucine, isoleucine, glutamine, asparagine, lysine, arginine, ornithine, and histidine. As found previously for other amino acids, the distribution of these amino acids was seen to be heterogeneous, the level of the area of highest level being 3.4 to 10.7 times that of the area of the lowest level. On average we found a five- or six-fold difference in concentration between the highest and lowest level areas in the brain samples from adult and old respectively. The distribution patterns were found to be different for each amino acid; they were not similar even in the same class (amides, branched chain, basic amino acids), and they were different from those recently found in rat brain. Only a few changes, mostly increases, were found in the aged brain, such as increases in alanine and valine levels in cortical areas. In studies of changes in cerebral amino acid levels, the great regional heterogeneity of distribution has to be taken into account since changes in whole brain values may not reflect regional changes. The functional significance and the control of this regional heterogeneity are under investigation.

Entities:  

Year:  1993        PMID: 24190671     DOI: 10.1007/BF00805990

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


  37 in total

1.  A method for measuring brain protein synthesis rates in young and adult rats.

Authors:  D S Dunlop; W van Elden; A Lajtha
Journal:  J Neurochem       Date:  1975-02       Impact factor: 5.372

2.  Concentrations of GABA and glycine in discrete brain nuclei. Stress-induced changes in the levels of inhibitory amino acids.

Authors:  I Elekes; A Patthy; T Láng; M Palkovits
Journal:  Neuropharmacology       Date:  1986-07       Impact factor: 5.250

3.  Effects of chronic administration of antipsychotic drugs on GABA and other amino acids in the mesolimbic area of rat brain.

Authors:  T L Perry; S Hansen; S J Kish
Journal:  Life Sci       Date:  1979-01-15       Impact factor: 5.037

4.  Isolated removal of hypothalamic or other brain nuclei of the rat.

Authors:  M Palkovits
Journal:  Brain Res       Date:  1973-09-14       Impact factor: 3.252

5.  Perinatal changes in the free amino acid pool of the brain in mice.

Authors:  A Lajtha; J Toth
Journal:  Brain Res       Date:  1973-05-30       Impact factor: 3.252

6.  Regional distribution and movement of amino acids in the brain.

Authors:  L Battistin; A Lajtha
Journal:  J Neurol Sci       Date:  1970-03       Impact factor: 3.181

7.  Heterogeneous distribution of functionally important amino acids in brain areas of adult and aging humans.

Authors:  M Banay-Schwartz; M Palkovits; A Lajtha
Journal:  Neurochem Res       Date:  1993-04       Impact factor: 3.996

8.  Hyperphenylalanemia: effect on brain polyribosomes can be partially reversed by other amino acids.

Authors:  J V Hughes; T C Johnson
Journal:  Science       Date:  1977-01-28       Impact factor: 47.728

9.  Changes with aging in the levels of amino acids in rat CNS structural elements. II. Taurine and small neutral amino acids.

Authors:  M Banay-Schwartz; A Lajtha; M Palkovits
Journal:  Neurochem Res       Date:  1989-06       Impact factor: 3.996

10.  Amino acid neurotransmitter alterations in three sublines of Rb mice differing by their susceptibility to audiogenic seizures.

Authors:  S Simler; L Ciesielski; J Clement; P Mandel
Journal:  Neurochem Res       Date:  1990-07       Impact factor: 3.996

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  2 in total

1.  Alteration of protease levels in different brain areas of suicide victims.

Authors:  M Banay-Schwartz; T DeGuzman; G Faludi; A Lajtha; M Palkovits
Journal:  Neurochem Res       Date:  1998-07       Impact factor: 3.996

2.  Reconstructed Metabolic Network Models Predict Flux-Level Metabolic Reprogramming in Glioblastoma.

Authors:  Emrah Özcan; Tunahan Çakır
Journal:  Front Neurosci       Date:  2016-04-18       Impact factor: 4.677

  2 in total

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