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Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia
BACKGROUND/AIMS: Abnormalities in the plasma amino acid profile have been reported in Alzheimer disease (AD), but no data exist for the prodromal phase characterized by subjective memory complaint (SMC). It was our aim to understand if serum amino acid levels change along the continuum from normal t...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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S. Karger AG
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471778/ https://www.ncbi.nlm.nih.gov/pubmed/28626469 http://dx.doi.org/10.1159/000466688 |
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author | Corso, Gaetano Cristofano, Adriana Sapere, Nadia la Marca, Giancarlo Angiolillo, Antonella Vitale, Michela Fratangelo, Roberto Lombardi, Teresa Porcile, Carola Intrieri, Mariano Di Costanzo, Alfonso |
author_facet | Corso, Gaetano Cristofano, Adriana Sapere, Nadia la Marca, Giancarlo Angiolillo, Antonella Vitale, Michela Fratangelo, Roberto Lombardi, Teresa Porcile, Carola Intrieri, Mariano Di Costanzo, Alfonso |
author_sort | Corso, Gaetano |
collection | PubMed |
description | BACKGROUND/AIMS: Abnormalities in the plasma amino acid profile have been reported in Alzheimer disease (AD), but no data exist for the prodromal phase characterized by subjective memory complaint (SMC). It was our aim to understand if serum amino acid levels change along the continuum from normal to AD, and to identify possible diagnostic biomarkers. METHODS: Serum levels of 15 amino acids and 2 organic acids were determined in 4 groups of participants – 29 with probable AD, 18 with mild cognitive impairment (MCI), 24 with SMC, and 46 cognitively healthy subjects (HS) – by electrospray tandem mass spectrometry. RESULTS: Glutamate, aspartate, and phenylalanine progressively decreased, while citrulline, argininosuccinate, and homocitrulline progressively increased, from HS over SMC and MCI to AD. The panel including these 6 amino acids and 4 ratios (glutamate/citrulline, citrulline/phenylalanine, leucine plus isoleucine/phenylalanine, and arginine/phenylalanine) discriminated AD from HS with about 96% accuracy. Other panels including 20 biomarkers discriminated SMC or MCI from AD or HS with an accuracy ranging from 88 to 75%. CONCLUSION: Amino acids contribute to a characteristic metabotype during the progression of AD along the continuum from health to frank dementia, and their monitoring in elderly individuals might help to detect at-risk subjects. |
format | Online Article Text |
id | pubmed-5471778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-54717782017-06-16 Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia Corso, Gaetano Cristofano, Adriana Sapere, Nadia la Marca, Giancarlo Angiolillo, Antonella Vitale, Michela Fratangelo, Roberto Lombardi, Teresa Porcile, Carola Intrieri, Mariano Di Costanzo, Alfonso Dement Geriatr Cogn Dis Extra Original Research Article BACKGROUND/AIMS: Abnormalities in the plasma amino acid profile have been reported in Alzheimer disease (AD), but no data exist for the prodromal phase characterized by subjective memory complaint (SMC). It was our aim to understand if serum amino acid levels change along the continuum from normal to AD, and to identify possible diagnostic biomarkers. METHODS: Serum levels of 15 amino acids and 2 organic acids were determined in 4 groups of participants – 29 with probable AD, 18 with mild cognitive impairment (MCI), 24 with SMC, and 46 cognitively healthy subjects (HS) – by electrospray tandem mass spectrometry. RESULTS: Glutamate, aspartate, and phenylalanine progressively decreased, while citrulline, argininosuccinate, and homocitrulline progressively increased, from HS over SMC and MCI to AD. The panel including these 6 amino acids and 4 ratios (glutamate/citrulline, citrulline/phenylalanine, leucine plus isoleucine/phenylalanine, and arginine/phenylalanine) discriminated AD from HS with about 96% accuracy. Other panels including 20 biomarkers discriminated SMC or MCI from AD or HS with an accuracy ranging from 88 to 75%. CONCLUSION: Amino acids contribute to a characteristic metabotype during the progression of AD along the continuum from health to frank dementia, and their monitoring in elderly individuals might help to detect at-risk subjects. S. Karger AG 2017-05-04 /pmc/articles/PMC5471778/ /pubmed/28626469 http://dx.doi.org/10.1159/000466688 Text en Copyright © 2017 by S. Karger AG, Basel http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes as well as any distribution of modified material requires written permission. |
spellingShingle | Original Research Article Corso, Gaetano Cristofano, Adriana Sapere, Nadia la Marca, Giancarlo Angiolillo, Antonella Vitale, Michela Fratangelo, Roberto Lombardi, Teresa Porcile, Carola Intrieri, Mariano Di Costanzo, Alfonso Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia |
title | Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia |
title_full | Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia |
title_fullStr | Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia |
title_full_unstemmed | Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia |
title_short | Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia |
title_sort | serum amino acid profiles in normal subjects and in patients with or at risk of alzheimer dementia |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471778/ https://www.ncbi.nlm.nih.gov/pubmed/28626469 http://dx.doi.org/10.1159/000466688 |
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