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Aging progression of human gut microbiota
- Source :
- BMC Microbiology, BMC Microbiology, Vol 19, Iss 1, Pp 1-10 (2019)
- Publication Year :
- 2019
- Publisher :
- BioMed Central, 2019.
-
Abstract
- Background Human gut microbiota are important for human health and have been regarded as a “forgotten organ”, whose variation is closely linked with various factors, such as host genetics, diet, pathological conditions and external environment. The diversity of human gut microbiota has been correlated with aging, which was characterized by different abundance of bacteria in various age groups. In the literature, most of the previous studies of age-related gut microbiota changes focused on individual species in the gut community with supervised methods. Here, we aimed to examine the underlying aging progression of the human gut microbial community from an unsupervised perspective. Results We obtained raw 16S rRNA sequencing data of subjects ranging from newborns to centenarians from a previous study, and summarized the data into a relative abundance matrix of genera in all the samples. Without using the age information of samples, we applied an unsupervised algorithm to recapitulate the underlying aging progression of microbial community from hosts in different age groups and identify genera associated to this progression. Literature review of these identified genera indicated that for individuals with advanced ages, some beneficial genera are lost while some genera related with inflammation and cancer increase. Conclusions The multivariate unsupervised analysis here revealed the existence of a continuous aging progression of human gut microbiota along with the host aging process. The identified genera associated to this aging process are meaningful for designing probiotics to maintain the gut microbiota to resemble a young age, which hopefully will lead to positive impact on human health, especially for individuals in advanced age groups.
- Subjects :
- Microbiology (medical)
Adult
DNA, Bacterial
Male
Aging
Adolescent
lcsh:QR1-502
Sample progression discovery
Gut flora
Microbiology
DNA, Ribosomal
digestive system
lcsh:Microbiology
03 medical and health sciences
Human health
Young Adult
Human gut
Age groups
RNA, Ribosomal, 16S
Humans
Child
Phylogeny
030304 developmental biology
Aged
Aged, 80 and over
0303 health sciences
biology
Bacteria
030306 microbiology
Age Factors
Infant, Newborn
Infant
Sequence Analysis, DNA
Middle Aged
biology.organism_classification
Gastrointestinal Microbiome
16S rRNA sequencing
Young age
Unsupervised algorithm
Parasitology
Evolutionary biology
Child, Preschool
Female
Human gut microbiota
Unsupervised Machine Learning
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 14712180
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- BMC Microbiology
- Accession number :
- edsair.doi.dedup.....1f8a2beb7b2e2f65680bcdbe9ff1ac5d