Department of Experimental Pathology, Via San Giacomo 14, 40126, Bologna, Italy.
Immun Ageing. 2010 Dec 16;7 Suppl 1(Suppl 1):S4. doi: 10.1186/1742-4933-7-S1-S4.
The population longitudinal study named "The Conselice Study" has been the focus of the present investigation. 65 years old or older participants of this population study on brain aging were followed up for 5 years: 937 subjects completed the follow-up. Relationships of 46 genetic, phenotypic, clinical and nutritional factors on incident cognitive decline and incident dementia cases were investigated.
A new statistical approach, called the Auto Contractive Map (AutoCM) was applied to find relationship between variables and a possible hierarchy in the relevance of each variable with incident dementia. This method, based on an artificial adaptive system, was able to define the association strength of each variable with all the others. Moreover, few variables resulted to be aggregation points in the variable connectivity map related to cognitive decline and dementia. Gene variants and cognate phenotypic variables showed differential degrees of relevance to brain aging and dementia. A risk map for age associated cognitive decline and dementia has been constructed and will be presented and discussed.
This map of variables may be use to identify subjects with increased risk of developing cognitive decline end/or dementia and provide pivotal information for early intervention protocols for prevention of dementia.
本研究的重点是名为“Conselice 研究”的人口纵向研究。这项针对大脑衰老的人口研究中,年龄在 65 岁及以上的参与者被随访了 5 年:937 名受试者完成了随访。本研究调查了 46 种遗传、表型、临床和营养因素与认知能力下降和痴呆事件的关系。
本研究应用了一种新的统计方法,称为自收缩映射(AutoCM),以发现变量之间的关系,并确定每个变量与痴呆事件的相关性的可能层次结构。这种基于人工自适应系统的方法能够定义每个变量与所有其他变量的关联强度。此外,在与认知能力下降和痴呆相关的变量连接图中,少数变量成为聚集点。基因变异和相关的表型变量与大脑衰老和痴呆的相关性程度不同。已经构建了一个与年龄相关的认知能力下降和痴呆风险图,并将对其进行介绍和讨论。
该变量图可用于识别认知能力下降和/或痴呆风险增加的受试者,并为预防痴呆的早期干预方案提供关键信息。