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阿尔茨海默病、帕金森病和多发性硬化症患者的血清化学元素与氧化状态

Serum chemical elements and oxidative status in Alzheimer's disease, Parkinson disease and multiple sclerosis.

作者信息

Alimonti Alessandro, Ristori Giovanni, Giubilei Franco, Stazi Maria Antonia, Pino Anna, Visconti Andrea, Brescianini Sonia, Sepe Monti Micaela, Forte Giovanni, Stanzione Paolo, Bocca Beatrice, Bomboi Giuseppe, D'Ippolito Cristina, Annibali Viviana, Salvetti Marco, Sancesario Giuseppe

机构信息

Department of the Environment and Primary Prevention, Istituto Superiore di Sanità, Viale Regine Elena 299, 00161 Rome, Italy.

出版信息

Neurotoxicology. 2007 May;28(3):450-6. doi: 10.1016/j.neuro.2006.12.001. Epub 2006 Dec 9.

Abstract

The role of some chemical elements in neurodegeneration was suggested by various authors. To obtain a profile of chemical elements and oxidative status in complex neurological diseases, an unbiased "omics" approach, i.e., quantification of 26 elements and oxidative stress parameters (serum oxidative status (SOS) and serum anti-oxidant capacity (SAC)), combined with multivariate statistical procedures (forward discriminant analysis, FDA) to analyse the vast amount of data, was applied to four groups of subjects (53 patients with Alzheimer's disease (AD), 71 with Parkinson disease (PD), 60 with multiple sclerosis (MS) and 124 healthy individuals). Descriptive statistics revealed numerous differences between each disease and healthy status. A concordant imbalance (reduction in Fe, Zn and SAC, and increase in SOS) was shared by AD, PD and MS. The FDA yielded three significant discriminant functions based on age, SOS, Ca, Fe, Si, Sn, V, Zn and Zr, and identified disease-specific profiles of element imbalances, thus showing the appropriateness of the "omics" approach. It may help assess the contribution of chemical elements and oxidative stress to disease causation and may provide complex predictors of disease evolution or treatment response.

摘要

多位作者提出了某些化学元素在神经退行性变中的作用。为了获得复杂神经系统疾病中的化学元素概况和氧化状态,一种无偏倚的“组学”方法,即对26种元素和氧化应激参数(血清氧化状态(SOS)和血清抗氧化能力(SAC))进行定量,并结合多元统计程序(向前判别分析,FDA)来分析大量数据,应用于四组受试者(53例阿尔茨海默病(AD)患者、71例帕金森病(PD)患者、60例多发性硬化症(MS)患者和124名健康个体)。描述性统计揭示了每种疾病与健康状态之间的众多差异。AD、PD和MS存在一致的失衡(铁、锌和SAC降低,SOS升高)。FDA基于年龄、SOS、钙、铁、硅、锡、钒、锌和锆产生了三个显著的判别函数,并确定了元素失衡的疾病特异性概况,从而表明了“组学”方法的适用性。它可能有助于评估化学元素和氧化应激对疾病病因的贡献,并可能提供疾病进展或治疗反应的综合预测指标。

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