Neonatal Research Unit, Health Research Institute La Fe, Valencia, Spain.
Neurology Unit, University and Polytechnic Hospital La Fe, Valencia, Spain.
J Neurochem. 2021 Jun;157(6):2187-2194. doi: 10.1111/jnc.15183. Epub 2020 Sep 30.
Alzheimer's Disease (AD) is the most common neurodegenerative disease worldwide. So, there is a need to identify AD early diagnosis and monitoring biomarkers in blood samples. The aim of this study was to analyse the utility of lipid peroxidation biomarkers in AD progression evaluation. Participants (n = 19) were diagnosed with AD at early stages (Time 0, T0), and they were re-evaluated 2 years later (Time 1, T1). Plasma biomarkers from AD patients were determined at both times. Some analytes, such as dihomo-isoprostanes (17-epi-17-F2t-dihomo-IsoP, 17-F2t-dihomo-IsoP, Ent-7(RS)-7-F2t-dihomo-IsoP), and neuroprostanes (10-epi-10-F4t-NeuroP) showed very high probability of showing an increasing trend over time. Baseline values allowed to develop an affordable preliminary regression model to predict long-term cognitive status. So, some lipid peroxidation biomarkers would deserve consideration as useful progression AD biomarkers. The developed prediction model would constitute an important minimally invasive approach in AD personalized prognosis and perhaps could have some interest also in experimental treatments evaluation.
阿尔茨海默病（AD）是全球最常见的神经退行性疾病。因此，有必要识别 AD 的早期诊断和监测生物标志物在血液样本中。本研究的目的是分析脂质过氧化生物标志物在 AD 进展评估中的应用。参与者（n=19）被诊断为早期 AD（时间 0，T0），并在 2 年后（时间 1，T1）重新评估。在两个时间点均测定了 AD 患者的血浆生物标志物。一些分析物，如二同型异前列烷（17-epi-17-F2t-二同型异前列腺素，17-F2t-二同型异前列腺素，Ent-7（RS）-7-F2t-二同型异前列腺素）和神经前列腺素（10-epi-10-F4t-神经前列腺素）显示出随时间推移呈明显上升趋势的高概率。基线值允许开发一种经济实惠的初步回归模型，以预测长期认知状态。因此，一些脂质过氧化生物标志物有望作为有用的 AD 进展生物标志物。所开发的预测模型将构成 AD 个体化预后的一种重要微创方法，也许在实验性治疗评估中也具有一定的意义。
