A Cross-Sectional Study of the Gut Microbiota Composition in Moscow Long-Livers

Autor: Elizaveta V Starikova, Denis A Gudkov, Irina D. Strazhesko, Olga N. Tkacheva, Nataliya S Klimenko, Oksana E. Glushchenko, Daria A. Kashtanova
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Microorganisms
Volume 8
Issue 8
Microorganisms, Vol 8, Iss 1162, p 1162 (2020)
ISSN: 2076-2607
Popis: The aim was to assess the gut microbiota of long-livers from Moscow. This study included two groups of patients who signed their consent to participate. The group of long-livers (LL) included 20 participants aged 97&ndash
100 years (4 men and 16 women). The second group included 22 participants aged 60&ndash
76 years (6 men) without clinical manifestations of chronic diseases (healthy elderly). Gut microbiota was studied by 16S rRNA sequencing. Long-livers underwent a complex geriatric assessment as well as expanded blood biochemistry. Gut microbiota composition in the cohorts was also compared with microbiome in long-livers from Japan and Italy. Russian long-livers&rsquo
microbiome contained more beneficial bacteria than healthy elderly including Ruminococcaceae, Christensenellaceae, Lactobacillaceae families. Conditional pathogens like Veillonellaceae, Mogibacteriaceae, Alcaligenaceae, Peptococcaceae, Peptostreptococcaceae were more abundant in the healthy elderly. Compared with Italian and Japanese microbiome LL, the Russian LL appeared to be more similar to the Italian cohort. Bifidobacterium/Coprococcus and Faecalibacterium/Coprococcus balances were associated with femoral and carotid intima&ndash
media thickness, respectively. Bifidobacterium/Coriobacteriaceae balance was assessed with the folic acid level and Faecalibacterium/Coriobacteriaceae_u the with Mini Nutritional Assessment score. Long-livers&rsquo
microbiome appeared to be unexpectedly balanced. The high representation of beneficial bacteria in long-livers may prevent them from low-grade inflammation and thus protect them from the development of atherosclerosis and other aging-associated conditions.
Databáze: OpenAIRE