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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 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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| study group | The study group consists of five volunteers who originally lived in a plain area. They will be living in a high-altitude region for one year. |
| |
| control group | Five healthy residents living on the high-altitude region , matched 1:1 by age, gender, and race, will serve as control group. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| there are no intervention | Other | no intervention |
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| Measure | Description | Time Frame |
|---|---|---|
| the bacterial composition difference using 16S rRNA sequencing 1 | 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. | one month after relocation |
| the bacterial composition difference using 16S rRNA sequencing 2 | 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. | three month after relocation |
| the bacterial composition difference using 16S rRNA sequencing 3 | 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. | six month after relocation |
| the bacterial composition difference using 16S rRNA sequencing 4 | 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. | twelve month after relocation |
| Measure | Description | Time Frame |
|---|---|---|
| the bacterial composition difference using 16S rRNA sequencing 5 | 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. | one month after returning to Liaocheng City from Gangcha County. |
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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.
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The study group consists of five volunteers who originally lived in a plain area. They will be living in a high-altitude region for one year. Five healthy residents living on the high-altitude region , matched 1:1 by age, gender, and race, will serve as control group.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Liaocheng people's hospital | Liaocheng | Shandong | 252000 | China |
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stool samples
| the bacterial composition difference using 16S rRNA sequencing 6 | 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. | three month after returning to Liaocheng City from Gangcha County. |
| the bacterial composition difference using 16S rRNA sequencing 7 | 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. | six month after returning to Liaocheng City from Gangcha County. |
| the bacterial composition difference using 16S rRNA sequencing 8 | 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. | twelve month after returning to Liaocheng City from Gangcha County. |