Temporal Changes in Gut Microbiota of Healthy Adults Before and After Migrating to High Altitude: a Longitudinal Study
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 10
- 试验地点
- 1
- 主要终点
- the bacterial composition difference using 16S rRNA sequencing 3
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
the bacterial composition difference using 16S rRNA sequencing 3
时间窗: 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.
the bacterial composition difference using 16S rRNA sequencing 1
时间窗: 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
时间窗: 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 4
时间窗: 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.
次要结局
- the bacterial composition difference using 16S rRNA sequencing 5(one month 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.)
- the bacterial composition difference using 16S rRNA sequencing 7(six month 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.)