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Series GSE262290 Query DataSets for GSE262290
Status Public on Mar 27, 2024
Title Metabolic modeling reveals the aging-associated decline of host–microbiome metabolic interactions in mice
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Aging is the predominant cause of morbidity and mortality in industrialized countries. The specific molecular mechanisms that drive aging are poorly understood, especially the contribution of the microbiota in these processes. Here, we combined multi-omics with metabolic modeling in mice to comprehensively characterize host–microbiome interactions and how they are affected by aging. Our findings reveal a complex dependency of host metabolism on microbial functions, including previously known as well as novel interactions. We observed a pronounced reduction in metabolic activity within the aging microbiome, which we attribute to reduced beneficial interactions in the microbial community and a reduction in the metabolic output of the microbiome. These microbial changes coincided with a corresponding downregulation of key host pathways predicted by our model that are crucial for maintaining intestinal barrier function, cellular replication, and homeostasis. Our results elucidate potential microbiome–host interactions that may influence host aging processes, focusing on microbial nucleotide metabolism as a pivotal factor in aging dynamics.
 
Overall design total-RNA with Illumina’s TruSeq stranded kit, with polyA enrichment, 100bp or 75bp paired end sequencing of 52 samples each from male mice’s (C57BL/6J/Ukj) colons, livers, brains at different ages: 2 (n = 10), 9 (n = 10), 15 (n = 10), 24 (n = 10), and 30 (n = 12) months.
Web link https://doi.org/10.1101/2024.03.28.587009
 
Contributor(s) Best L, Dost T, Esser D, Flor S, Haase M, Kadibalban AS, Marinos G, Walker A, Zimmermann J, Simon R, Schmidt S, Taubenheim J, Künzel S, Häsler R, Groth M, Waschina S, Witte OW, Schmitt-Kopplin P, Baines JF, Frahm C, Kaleta C
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Submission date Mar 22, 2024
Last update date Apr 17, 2024
Contact name Lena Best
E-mail(s) l.best@iem.uni-kiel.de
Organization name Christian-Albrechts-University Kiel
Department Institute of Experimental Medicine
Lab Kaleta Lab
Street address Michaelis-Straße 5
City Kiel
ZIP/Postal code 24105
Country Germany
 
Platforms (1)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (156)
GSM8162643 Colon, 2 Months, Rep1
GSM8162644 Colon, 2 Months, Rep2
GSM8162645 Colon, 2 Months, Rep3
Relations
BioProject PRJNA1090973

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE262290_brain_RNA_gene_counts.tsv.gz 2.2 Mb (ftp)(http) TSV
GSE262290_colon_RNA_gene_counts.tsv.gz 2.1 Mb (ftp)(http) TSV
GSE262290_liver_RNA_gene_counts.tsv.gz 1.8 Mb (ftp)(http) TSV
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Raw data are available in SRA
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