Plasma alterations in cholinergic and serotonergic systems in early Alzheimer Disease: Diagnosis utility.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 03 09 2019
revised: 21 10 2019
accepted: 21 10 2019
pubmed: 5 11 2019
medline: 3 6 2020
entrez: 4 11 2019
Statut: ppublish

Résumé

Alzheimer Disease (AD) is the most common cause of dementia and it involves a high social and economic cost worldwide, and the health system still does not count with an effective treatment. This may be explained by the lack of a reliable early diagnosis and the complex physiological mechanisms involved in the disease development. In this sense, the cholinergic and serotonergic systems may be altered in the disease course. In this study, metabolites from these pathways were determined in order to develop a non-invasive and early diagnosis model, as well as to advance in the knowledge of the physiopathological mechanisms of the disease. For this, plasma samples from mild cognitive impairment due to AD patients (MCI-AD, n = 25) and healthy controls (n = 25) were analysed. choline and tryptophan pathways were deregulated in MCI-AD. Therefore, a model based on betaine, cytidine, uridine, choline, acetylcholine, serotonin and tryptophan was developed, showing an AUC-ROC of 0.862, and sensitivity and specificity of 96% and 72%, respectively. Alterations in metabolites from these pathways are related to cognitive impairment and neurodegeneration, and they could be useful in AD diagnosis. Nevertheless, further research is required in order to validate this diagnosis model.

Sections du résumé

BACKGROUND BACKGROUND
Alzheimer Disease (AD) is the most common cause of dementia and it involves a high social and economic cost worldwide, and the health system still does not count with an effective treatment. This may be explained by the lack of a reliable early diagnosis and the complex physiological mechanisms involved in the disease development. In this sense, the cholinergic and serotonergic systems may be altered in the disease course.
METHODS METHODS
In this study, metabolites from these pathways were determined in order to develop a non-invasive and early diagnosis model, as well as to advance in the knowledge of the physiopathological mechanisms of the disease. For this, plasma samples from mild cognitive impairment due to AD patients (MCI-AD, n = 25) and healthy controls (n = 25) were analysed.
RESULTS RESULTS
choline and tryptophan pathways were deregulated in MCI-AD. Therefore, a model based on betaine, cytidine, uridine, choline, acetylcholine, serotonin and tryptophan was developed, showing an AUC-ROC of 0.862, and sensitivity and specificity of 96% and 72%, respectively.
CONCLUSION CONCLUSIONS
Alterations in metabolites from these pathways are related to cognitive impairment and neurodegeneration, and they could be useful in AD diagnosis. Nevertheless, further research is required in order to validate this diagnosis model.

Identifiants

pubmed: 31678274
pii: S0009-8981(19)32085-6
doi: 10.1016/j.cca.2019.10.023
pii:
doi:

Substances chimiques

Serotonin 333DO1RDJY
Choline N91BDP6H0X

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

233-240

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Carmen Peña-Bautista (C)

Health Research Institute La Fe, Valencia, Spain.

Lidia Flor (L)

Health Research Institute La Fe, Valencia, Spain.

Marina López-Nogueroles (M)

Health Research Institute La Fe, Valencia, Spain.

Lorena García (L)

Division of Neurology, University and Polytechnic Hospital La Fe, Valencia, Spain.

Inés Ferrer (I)

Division of Neurology, University and Polytechnic Hospital La Fe, Valencia, Spain.

Miguel Baquero (M)

Division of Neurology, University and Polytechnic Hospital La Fe, Valencia, Spain.

Máximo Vento (M)

Health Research Institute La Fe, Valencia, Spain.

Consuelo Cháfer-Pericás (C)

Health Research Institute La Fe, Valencia, Spain. Electronic address: m.consuelo.chafer@uv.es.

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Classifications MeSH