Study: NCT06147154

Intervention type: OTHER
Intervention: 16S rRNA amplicon sequencing and untargeted metabolomics
Description: 16S rRNA sequencing is a method for large-scale identification of community composition, expression abundance, and phylogenetic analysis by polymerase chain reaction (PCR) amplification of specific variable regions of 16S rRNA, combined with high-throughput sequencing and bioinformatics analysis. It also enables large-scale identification of the entire flora in a given habitat to study microbial diversity.~Untargeted metabolomics refers to the use of Liquid Chromatograph Mass Spectrometer (LC-MS), Gas Chromatograph Mass Spectrometer (GC-MS), and nuclear magnetic resonance (NMR) technology. The dynamic changes of small molecular metabolites in cells, tissues, organs or organisms before and after stimulation or disturbance were detected without bias. The differential metabolites were screened by bioinformatics analysis, and the pathway analysis of differential metabolites was performed to reveal the physiological mechanism of their changes.

Intervention type: OTHER
Intervention: 16S rRNA amplicon sequencing and untargeted metabolomics
Description: 16S rRNA sequencing is a method for large-scale identification of community composition, expression abundance, and phylogenetic analysis by polymerase chain reaction (PCR) amplification of specific variable regions of 16S rRNA, combined with high-throughput sequencing and bioinformatics analysis. It also enables large-scale identification of the entire flora in a given habitat to study microbial diversity.~Untargeted metabolomics refers to the use of Liquid Chromatograph Mass Spectrometer (LC-MS), Gas Chromatograph Mass Spectrometer (GC-MS), and nuclear magnetic resonance (NMR) technology. The dynamic changes of small molecular metabolites in cells, tissues, organs or organisms before and after stimulation or disturbance were detected without bias. The differential metabolites were screened by bioinformatics analysis, and the pathway analysis of differential metabolites was performed to reveal the physiological mechanism of their changes.

Intervention type: OTHER
Intervention: 16S rRNA amplicon sequencing and untargeted metabolomics
Description: 16S rRNA sequencing is a method for large-scale identification of community composition, expression abundance, and phylogenetic analysis by polymerase chain reaction (PCR) amplification of specific variable regions of 16S rRNA, combined with high-throughput sequencing and bioinformatics analysis. It also enables large-scale identification of the entire flora in a given habitat to study microbial diversity.~Untargeted metabolomics refers to the use of Liquid Chromatograph Mass Spectrometer (LC-MS), Gas Chromatograph Mass Spectrometer (GC-MS), and nuclear magnetic resonance (NMR) technology. The dynamic changes of small molecular metabolites in cells, tissues, organs or organisms before and after stimulation or disturbance were detected without bias. The differential metabolites were screened by bioinformatics analysis, and the pathway analysis of differential metabolites was performed to reveal the physiological mechanism of their changes.

Intervention type: OTHER
Intervention: 16S rRNA amplicon sequencing and untargeted metabolomics
Description: 16S rRNA sequencing is a method for large-scale identification of community composition, expression abundance, and phylogenetic analysis by polymerase chain reaction (PCR) amplification of specific variable regions of 16S rRNA, combined with high-throughput sequencing and bioinformatics analysis. It also enables large-scale identification of the entire flora in a given habitat to study microbial diversity.~Untargeted metabolomics refers to the use of Liquid Chromatograph Mass Spectrometer (LC-MS), Gas Chromatograph Mass Spectrometer (GC-MS), and nuclear magnetic resonance (NMR) technology. The dynamic changes of small molecular metabolites in cells, tissues, organs or organisms before and after stimulation or disturbance were detected without bias. The differential metabolites were screened by bioinformatics analysis, and the pathway analysis of differential metabolites was performed to reveal the physiological mechanism of their changes.