Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Health and Biosecurity, Commonwealth Scientific and Industrial Research Organization, Adelaide, SA 5000, Australia.
Nutrients. 2021 Dec 24;14(1):64. doi: 10.3390/nu14010064.
Ageing is associated with changes in biological processes, including reductions in cognitive functions and gut microbiome diversity. However, not much is known about the relationship between cognition and the microbiome with increasing age. Therefore, we examined the relationship between the gut microbiome and cognition in 69 healthy participants aged 60-75 years. The gut microbiome was analysed with the 16S rRNA sequencing method. The cognitive assessment included the Cognitive Drug Research computerised assessment battery, which produced five cognitive factors corresponding to 'Quality of Episodic Secondary Memory', 'Quality of Working Memory', 'Continuity of Attention, 'Speed of Memory' and 'Power of Concentration'. Multiple linear regression showed that the bacterial family explained 9% of the variance in predicting Quality of Episodic Secondary Memory. and explained 15% of the variance in predicting Quality of Working Memory; and explained 11% of the variance in Power of Concentration. The present study provides specific evidence of a relationship between specific families of bacteria and different domains of cognition.
衰老是与生物过程的变化相关联的,包括认知功能和肠道微生物多样性的降低。然而,对于认知与微生物组随年龄增长的关系,人们知之甚少。因此,我们研究了 69 名 60-75 岁健康参与者的肠道微生物组与认知之间的关系。肠道微生物组采用 16S rRNA 测序方法进行分析。认知评估包括认知药物研究计算机化评估电池,该电池产生了五个认知因素,分别对应“情节性二级记忆的质量”、“工作记忆的质量”、“注意力的连续性”、“记忆速度”和“注意力集中的力量”。多元线性回归显示,细菌科解释了预测情节性二级记忆质量的 9%的方差。和解释了预测工作记忆质量的 15%的方差;和解释了注意力集中力量的 11%的方差。本研究提供了特定细菌家族与不同认知领域之间存在关系的具体证据。