化学
代谢组学
载脂蛋白E
基因型
疾病
线性判别分析
痴呆
代谢组
计算生物学
生物信息学
内科学
生物
医学
生物化学
人工智能
基因
计算机科学
作者
Carmen Peña‐Bautista,Marta Roca,Rogelio López‐Cuevas,Miguel Baquero,Máximo Vento,Consuelo Cháfer‐Pericás
标识
DOI:10.1016/j.jpba.2019.113088
摘要
Alzheimer Disease (AD) is the main cause of dementia, and it has a great social and economic impact worldwide. It is a complex multifactorial disease, and we still do not know enough about its causes. For this reason, omics studies could be a useful tool for the search for new biomarkers and for enhancing the knowledge of different metabolic pathways that may be altered in the initial stages of the disease. Metabolomic analysis was carried out for plasma samples from early AD patients and healthy controls. Obtained data were normalized and analyzed by volcano plot and supervised orthogonal-least-squares-discriminant analysis. Fifteen variables were selected as the most important variables for the groups' discrimination, and the different levels of 6 identified metabolites could discriminate between patients with different ApoE4 genotypes (ε4-carriers and non ε4-carriers). In conclusion, ApoE4 genotype is associated with changes in lipid metabolomics profile in AD patients, and it could be relevant for the development of AD since early stages.
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