Microbial-host-isozyme analyses reveal microbial DPP4 as a potential antidiabetic target
Cite this dataset
Nie, Qixing et al. (2023). Microbial-host-isozyme analyses reveal microbial DPP4 as a potential antidiabetic target [Dataset]. Dryad. https://doi.org/10.5061/dryad.b2rbnzsmq
Abstract
A mechanistic understanding of how microbial proteins affect the host could yield deeper insights into gut microbiota–host cross-talk. We developed an enzyme activity-screening platform to investigate how gut microbiota-derived enzymes might influence host physiology. We discovered that dipeptidyl peptidase 4 (DPP4) is expressed by specific bacterial taxa of the microbiota. Microbial DPP4 was able to decrease the active glucagon like peptide-1 (GLP-1) and disrupt glucose metabolism in mice with a leaky gut. Furthermore, the current drugs targeting human DPP4, including sitagliptin, had little effect on microbial DPP4. Using high-throughput screening, we identified daurisoline-d4 (Dau-d4) as a selective microbial DPP4 inhibitor that improves glucose tolerance in diabetic mice.
README
On Dryad:
16S rRNA gene amplicon sequencing data
Fastq files from S1B-0 to S1E20 are 16S rRNA gene amplicon sequencing data. representing the bacteria composition in human stool samples and related ex vivo communities in fig. S1B, fig. S1D and fig.S1E. Library strategy: AMPLICON, library building type: single, sequencing platform: ILLUMINA, sequencing instrument: Illumina HiSeq 1500.
The metagenomic data of human and animal samples.
Fastq files from 1-1 to A6-6 are the metagenomic data including 57 human stool samples and 36 mouse faces samples. The human samples ID (1-57) correspond to the ID in supplementary table 4. The mouse samples (A1-1 to 16-6) were fecal microbiota transplant experiments in fig. S12 D to F. Each sample contains two sequencing data from paired-end sequencing. Library strategy: METAGENOMIC, library building type: paired, sequencing platform: ILLUMINA, sequencing instrument: Illumina HiSeq 1500.
On Zenodo:
Source data of Figure 1-6 and supplementary figure 1-21.
The source data are presented in 27 separate Excel files and each sheet represent one panel of each figure.
Phylo-tree
Phylo-tree is the raw data of phylogenetic analysis of microbial DPP4 protein sequences in fig. S4C.
Supplementary methods
Supplementary methods file is the process for isoenzyme activity detection, related to Fig 1.
Funding
National Natural Science Foundation of China, Award: 82288102
National Natural Science Foundation of China, Award: 82130022
National Natural Science Foundation of China, Award: 31925021
National Natural Science Foundation of China, Award: 91857115
National Natural Science Foundation of China, Award: 92149306
National Natural Science Foundation of China, Award: 82071658
National Natural Science Foundation of China, Award: 81921001
National Natural Science Foundation of China, Award: 22193073
National Natural Science Foundation of China, Award: 92253305
National Natural Science Foundation of China, Award: 2018YFA0800700
National Natural Science Foundation of China, Award: 2022YFC3401500
Beijing Municipal Science & Technology Commision, Award: Z201100006820010
China Postdoctoral Science Foundation, Award: BX20190019
National Cancer Institute, Award: ZIABC005708, Intramural Research Program
the Beijing Outstanding Young Scientist Program, Award: BJJWZYJH01201910001001