Dataset Information

Fecal metaproteomics reveals reduced gut inflammation and changed microbial metabolism following lifestyle-induced weight loss

ABSTRACT: Aims Gut microbiota-mediated inflammation promotes obesity-associated low-grade inflammation, which represents a hallmark of the metabolic syndrome (MetS). Lifestyle-induced weight loss (WL) is regarded as an efficient therapy to reverse MetS and to prevent disease progression. The objective of this study was to investigate if lifestyle-induced WL modulates the gut microbiome and its interaction with the host. Methods We analyzed and compared the fecal metaproteome of 33 individuals with MetS in a longitudinal study before and after lifestyle-induced WL in a well-defined cohort (ICTRP Trial Number: U1111-1158-3672). Results The 6-month WL intervention resulted in reduced BMI (-13.9%), increased insulin sensitivity (HOMA-IR; -53.70%) and reduced levels of circulating CRP (-66.86%), indicating MetS reversal. The metaprotein spectra of the host revealed a decrease of human proteins associated with gut inflammation and reduced abundance of human pancreatic alpha-amylase. Surprisingly, taxonomic analysis of the fecal metaproteome revealed only minor changes in the bacterial composition with an increase of low-abundant families (Desulfovibrionaceae, Leptospiraceae, Syntrophomonadaceae, Thermotogaceae, Verrucomicrobiaceae). Yet, we detected increased abundance of microbial metaprotein spectra that correspond to enhanced hydrolysis of complex carbohydrates (endoglucanase A, β-1,4-mannooligosaccharide phosphorylase, galactokinase, 5-keto-D-gluconate 5-reductase), indicating functional changes of the gut microbiome. Conclusions Our results indicate that lifestyle induced WL may improve interaction between the gut microbiome and the host in individuals with MetS, while bacterial composition remained almost stable. Metaproteome analysis of host proteins reveals reduced gut inflammation whereas microbial metaprotein spectra indicate functional changes towards degradation of complex carbohydrates. The filenames correspond to the ID of the patient (1-33), whereas “C” corresponds to baseline and “ABC” to weight loss.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Human Gut Metagenome

SUBMITTER: Robert Heyer

LAB HEAD: Dirk Benndorf

PROVIDER: PXD020902 | Pride | 2021-04-19

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 198

Similar Datasets

Project description:On going efforts are directed at understanding the mutualism between the gut microbiota and the host in breast-fed versus formula-fed infants. Due to the lack of tissue biopsies, no investigators have performed a global transcriptional (gene expression) analysis of the developing human intestine in healthy infants. As a result, the crosstalk between the microbiome and the host transcriptome in the developing mucosal-commensal environment has not been determined. In this study, we examined the host intestinal mRNA gene expression and microbial DNA profiles in full term 3 month-old infants exclusively formula fed (FF) (n=6) or breast fed (BF) (n=6) from birth to 3 months. Host mRNA microarray measurements were performed using isolated intact sloughed epithelial cells in stool samples collected at 3 months. Microbial composition from the same stool samples was assessed by metagenomic pyrosequencing. Both the host mRNA expression and bacterial microbiome phylogenetic profiles provided strong feature sets that clearly classified the two groups of babies (FF and BF). To determine the relationship between host epithelial cell gene expression and the bacterial colony profiles, the host transcriptome and functionally profiled microbiome data were analyzed in a multivariate manner. From a functional perspective, analysis of the gut microbiota's metagenome revealed that characteristics associated with virulence differed between the FF and BF babies. Using canonical correlation analysis, evidence of multivariate structure relating eleven host immunity / mucosal defense-related genes and microbiome virulence characteristics was observed. These results, for the first time, provide insight into the integrated responses of the host and microbiome to dietary substrates in the early neonatal period. Our data suggest that systems biology and computational modeling approaches that integrate “-omic” information from the host and the microbiome can identify important mechanistic pathways of intestinal development affecting the gut microbiome in the first few months of life. KEYWORDS: infant, breast-feeding, infant formula, exfoliated cells, transcriptome, metagenome, multivariate analysis, canonical correlation analysis 12 samples, 2 groups

			Action	DRS
	ABC-01.dat	Other
	ABC-01.mgf	Mgf
	ABC-01.raw	Raw
	ABC-02.dat	Other
	ABC-02.mgf	Mgf

Dataset Information

Fecal metaproteomics reveals reduced gut inflammation and changed microbial metabolism following lifestyle-induced weight loss

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets