CIBERFES, Department of Physiology, Institute INCLIVA, Faculty of Medicine, Health Research University of Valencia, Avda. Blasco Ibanez 17, 46010 Valencia, Spain.
Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain.
Int J Mol Sci. 2021 Oct 8;22(19):10889. doi: 10.3390/ijms221910889.
Biomarkers for disease diagnosis and prognosis are crucial in clinical practice. They should be objective and quantifiable and respond to specific therapeutic interventions. Optimal biomarkers should reflect the underlying process (pathological or not), be reproducible, widely available, and allow measurements repeatedly over time. Ideally, biomarkers should also be non-invasive and cost-effective. This review aims to focus on the usefulness and limitations of electroencephalography (EEG) in the search for Alzheimer's disease (AD) biomarkers. The main aim of this article is to review the evolution of the most used biomarkers in AD and the need for new peripheral and, ideally, non-invasive biomarkers. The characteristics of the EEG as a possible source for biomarkers will be revised, highlighting its advantages compared to the molecular markers available so far.
用于疾病诊断和预后的生物标志物在临床实践中至关重要。它们应该是客观的、可量化的,并对特定的治疗干预有反应。最佳的生物标志物应该反映潜在的过程(病理性或非病理性),具有可重复性、广泛可用性,并允许在一段时间内重复测量。理想情况下,生物标志物还应该是非侵入性和具有成本效益的。本综述旨在关注脑电图(EEG)在寻找阿尔茨海默病(AD)生物标志物方面的有用性和局限性。本文的主要目的是回顾 AD 中使用最广泛的生物标志物的演变,以及对新的外周生物标志物的需求,理想情况下是非侵入性的。将回顾 EEG 作为生物标志物来源的可能性,强调其与迄今为止可用的分子标志物相比的优势。