Dried blood spots in clinical lipidomics: optimization and recent findings

• Autor(a) principal: Ferreira, Helena Beatriz
• Data de Publicação: 2022
• Outros Autores: Guerra, Inês M. S. , Melo, Tânia , Rocha, Hugo, Moreira, Ana S. P. , Paiva, Artur , Domingues, M. Rosário
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.22/22143
• topic: Dried blood spots; Mass spectrometry; Lipidomics; Disease biomarkers

Dried blood spots (DBS) are being considered as an alternative sampling method of blood collection that can be used in combination with lipidomic and other omic analysis. DBS are successfully used in the clinical context to collect samples for newborn screening for the measurement of specifc fatty acid derivatives, such as acylcarnitines, and lipids from whole blood for diagnostic purposes. However, DBS are scarcely used for lipidomic analysis and investigations. Lipidomic stud ies using DBS are starting to emerge as a powerful method for sampling and storage in clinical lipidomic analysis, but the major research work is being done in the pre- and analytical steps and procedures, and few in clinical applications. This review presents a description of the impact factors and variables that can afect DBS lipidomic analysis, such as the type of DBS card, haematocrit, homogeneity of the blood drop, matrix/chromatographic efects, and the chemical and physi cal properties of the analyte. Additionally, a brief overview of lipidomic studies using DBS to unveil their application in clinical scenarios is also presented, considering the studies of method development and validation and, to a less extent, for clinical diagnosis using clinical lipidomics. DBS combined with lipidomic approaches proved to be as efective as whole blood samples, achieving high levels of sensitivity and specifcity during MS and MS/MS analysis, which could be a useful tool for biomarker identifcation. Lipidomic profling using MS/MS platforms enables signifcant insights into physiological changes, which could be useful in precision medicine.