Cortisol and cortisone determination by disposable pipette extraction (DPX) and ultra-efficient liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) in urine and saliva samples from patients with Parkinson's disease.

Anxiety Cortisol Cortisone Sample preparation Urine

Journal

Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327

Informations de publication

Date de publication:
26 Sep 2024
Historique:
received: 26 07 2024
accepted: 17 09 2024
revised: 12 09 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 26 9 2024
Statut: aheadofprint

Résumé

Higher serum cortisol levels appear to be associated with stress that can overlap or manifest anxiety, fatigue, depression, and sleep dysfunction. These are common and intrusive non-motor symptoms of Parkinson's disease (PD). Thus, stress has been proposed to mediate Parkinson's disease development, and cortisol has been suggested as a biomarker for the generation of stress-related symptoms in Parkinson's disease. This study describes sensitive and robust disposable pipette extraction (DPX) and ultra-efficient liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) method to determine cortisol and cortisone (as potential endocrine biomarkers for Parkinson's disease) in 24-h urine and saliva samples obtained from Parkinson's disease patients. Important parameters on DPX extraction were optimized to achieve the best extraction recovery and cleanup efficiency. The proposed method was linear from 0.5 (lower limit of quantification) to 500 ng mL

Identifiants

DOI: 10.1007/s00216-024-05557-6 PMID: 39327306
pubmed: 39327306
doi: 10.1007/s00216-024-05557-6
pii: 10.1007/s00216-024-05557-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.

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Auteurs

Priscila Kakuda (P)

Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.

Israel Donizeti de Souza (ID)

Departamento de Química, Faculdade de Filosofia Ciências E Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.

Larissa Fritz Covari (LF)

Departamento de Química, Faculdade de Filosofia Ciências E Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.

Vitor Tumas (V)

Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.

Maria Eugênia Costa Queiroz (MEC)

Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil. mariaeqn@ffclrp.usp.br.
Departamento de Química, Faculdade de Filosofia Ciências E Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil. mariaeqn@ffclrp.usp.br.

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