Liquid Biopsy in Neurological Diseases

Other authors

Institut Català de la Salut

Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (CEMCAT), Vall d’Hebron Hospital Universitari, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2023-08-23T07:24:39Z

2023-08-23T07:24:39Z

2023-07-22

Abstract

Liquid biopsy; MicroRNA; Neurological diseases


Biòpsia líquida; MicroARN; Malalties neurològiques


Biopsia líquida; MicroARN; Enfermedades neurológicas


The most recent and non-invasive approach for studying early-stage biomarkers is liquid biopsy. This implies the extraction and analysis of non-solid biological tissues (serum, plasma, saliva, urine, and cerebrospinal fluid) without undergoing invasive procedures to determine disease prognosis. Liquid biopsy can be used for the screening of several components, such as extracellular vesicles, microRNAs, cell-free DNA, cell-free mitochondrial and nuclear DNA, circulating tumour cells, circulating tumour DNA, transfer RNA, and circular DNA or RNA derived from body fluids. Its application includes early disease diagnosis, the surveillance of disease activity, and treatment response monitoring, with growing evidence for validating this methodology in cancer, liver disease, and central nervous system (CNS) disorders. This review will provide an overview of mentioned liquid biopsy components, which could serve as valuable biomarkers for the evaluation of complex neurological conditions, including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, multiple sclerosis, epilepsy, stroke, traumatic brain injury, CNS tumours, and neuroinfectious diseases. Furthermore, this review highlights the future directions and potential limitations associated with liquid biopsy.


S.M. was supported by the grant from Instituto Salud Carlos III (PI20/01697).

Document Type

Article


Published version

Language

English

Publisher

MDPI

Related items

Cells;12(14)

https://doi.org/10.3390/cells12141911

info:eu-repo/grantAgreement/ES/PEICTI2021-2023/PI20%2F01697

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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