Gut Microbiota
Conditions
Brief summary
This prospective observational cohort study aims to learn about temporal changes in the gut microbiota before and after migrating to high altitudes in healthy participants. The main questions it aims to answer are: * changes in the gut microbiome before and after migrating to high altitude. * Do the migrants tend to share similar gut microbiota characteristics with the residents? Participants will detect 16S ribosomal RNA profiles from stool samples. Researchers will compare the residents with the migrants to see if gut microbiota characteristics are similar.
Detailed description
Changes in geographical environment can lead to alterations in the composition of the host's gut microbiota. However, the dynamic process and specific bacterial composition and patterns of change in the microbiota are not yet clear. In this study, the investigators conducted microbial analysis of the gut microbiota based on 16S rRNA amplicon sequencing in five healthy volunteers living in a plain area (Liaocheng City, Shandong Province) before and after their relocation to a high-altitude region (Gangcha County, Qinghai Province). Samples were collected at multiple time points, including 1 month, 3 months, 6 months, and 12 months after relocation, as well as 1 month, 3 months, 6 months, and 12 months after returning to Liaocheng City from Gangcha County. Additionally, a control group consisting of five local healthy individuals from Gangcha County (matched for age, gender, and ethnicity in a 1:1 ratio) was included. Dietary and lifestyle habits were investigated to determine the impact of environmental changes on the gut microbiota. The study aimed to analyze the diversity and abundance changes of the gut microbiota at different time points and identify specific bacterial compositions through clustering analysis.
Interventions
OTHERthere are no intervention
no intervention
Sponsors
Liaocheng People's Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
Volunteers in good health, without any diagnosed chronic diseases or gastrointestinal disorders.
Exclusion criteria
recent antibiotic use; severe gastrointestinal infections; long-term use of immunosuppressive drugs or other medications that may impact the gut microbiota; history of gastrointestinal surgical interventions.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| the bacterial composition difference using 16S rRNA sequencing 4 | twelve month after relocation | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and twelve month after relocation. |
| the bacterial composition difference using 16S rRNA sequencing 1 | one month after relocation | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and one month after relocation. |
| the bacterial composition difference using 16S rRNA sequencing 2 | three month after relocation | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and three month after relocation. |
| the bacterial composition difference using 16S rRNA sequencing 3 | six month after relocation | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and six month after relocation. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| the bacterial composition difference using 16S rRNA sequencing 5 | one month after returning to Liaocheng City from Gangcha County. | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and one months after returning to Liaocheng City from Gangcha County. |
| the bacterial composition difference using 16S rRNA sequencing 6 | three month after returning to Liaocheng City from Gangcha County. | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and three months after returning to Liaocheng City from Gangcha County. |
| the bacterial composition difference using 16S rRNA sequencing 7 | six month after returning to Liaocheng City from Gangcha County. | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and six months after returning to Liaocheng City from Gangcha County. |
| the bacterial composition difference using 16S rRNA sequencing 8 | twelve month after returning to Liaocheng City from Gangcha County. | Alpha and beta diversity were calculated based on the rooted phylogenetic tree. Read classification to taxonomic profiles at four levels e.g., phylum, family, genus and species was compared between baseline and twelve months after returning to Liaocheng City from Gangcha County. |
Countries
China
Outcome results
None listed