Biological variation of methylmalonic acid in urine in spanish population.

Biological variation Index of individuality Methylmalonic acid Reference change value Urine

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:
25 Aug 2024
Historique:
received: 24 05 2024
revised: 13 08 2024
accepted: 24 08 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 27 8 2024
Statut: aheadofprint

Résumé

Methylmalonic acid (MMA) is currently the best biomarker of functional vitamin B12 deficiency. However, for a correct interpretation of the patient's results it is necessary to know its biological variation (BV). No BV data are available for urine MMA values, as measured by mass spectrometry. Hence, the aim of this study was to estimate the within- and between-person coefficients of variation (CV Random urine samples from 34 healthy volunteers were collected over four consecutive weeks. Samples were stored at -80 °C until analysis in a single analytical run. MMA excretion was quantified by tandem liquid chromatography coupled to mass spectrometry (HPLC-MS/MS). Results were normalized to urine creatinine. The coefficients of variation were estimated by CV-ANOVA. Confidence intervals (95 %) were calculated. Quality specifications were defined according to international recommendations. A total of 128 samples were included. The coefficients of variation were CV Considering the II obtained, MMA in urine has high individuality, therefore, RCV is better to evaluate serial clinical results. Our results will contribute to a better clinical interpretation of this biomarker and will represent a great aid when defining analytical performance specifications for this magnitude.

Sections du résumé

BACKGROUND-AIM OBJECTIVE
Methylmalonic acid (MMA) is currently the best biomarker of functional vitamin B12 deficiency. However, for a correct interpretation of the patient's results it is necessary to know its biological variation (BV). No BV data are available for urine MMA values, as measured by mass spectrometry. Hence, the aim of this study was to estimate the within- and between-person coefficients of variation (CV
METHODS METHODS
Random urine samples from 34 healthy volunteers were collected over four consecutive weeks. Samples were stored at -80 °C until analysis in a single analytical run. MMA excretion was quantified by tandem liquid chromatography coupled to mass spectrometry (HPLC-MS/MS). Results were normalized to urine creatinine. The coefficients of variation were estimated by CV-ANOVA. Confidence intervals (95 %) were calculated. Quality specifications were defined according to international recommendations.
RESULTS RESULTS
A total of 128 samples were included. The coefficients of variation were CV
CONCLUSION CONCLUSIONS
Considering the II obtained, MMA in urine has high individuality, therefore, RCV is better to evaluate serial clinical results. Our results will contribute to a better clinical interpretation of this biomarker and will represent a great aid when defining analytical performance specifications for this magnitude.

Identifiants

pubmed: 39191346
pii: S0009-8981(24)02196-X
doi: 10.1016/j.cca.2024.119943
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119943

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Maria Santes Berto (M)

Department of Laboratory Medicine, Hospital Universitari Son Espases, Palma, Spain. Electronic address: maria.santes@ssib.es.

Sara Sanchez Asis (S)

Department of Laboratory Medicine, Hospital Universitari Son Espases, Palma, Spain.

Juan Robles (J)

Department of Laboratory Medicine, Hospital Universitari Son Espases, Palma, Spain.

Ana Rubio Alaejos (A)

Department of Laboratory Medicine, Hospital Universitari Son Espases, Palma, Spain.

Josep Miquel Bauça (J)

Department of Laboratory Medicine, Hospital Universitari Son Espases, Palma, Spain; Institut d́Investigació Sanitària de Ies Illes Balears (IdISBa), Spain.

Jose Antonio Delgado (J)

Department of Laboratory Medicine, Hospital Universitari Son Espases, Palma, Spain.

Classifications MeSH