Integrating large microbiome cohorts with smaller metabolome data reveals robust microbiome-metabolome-disease links using a novel multi-reference framework.
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Integrating large microbiome cohorts with smaller metabolome data reveals robust microbiome-metabolome-disease links using a novel multi-reference framework.
NMFBatch reduces technical variation by effectively correcting batch effects in proteomics data, demonstrated across diverse datasets including plasma and single-cell samples.
Hepatic and serum metabolite levels show weak correlation, with liver metabolites more strongly associated with steatosis and inflammation than serum metabolites in severe obesity.
Chronic multi-metal exposure in solar greenhouse workers is linked to significant alterations in serum amino acid profiles, with a notable negative joint effect on six amino acids.
MetaboCensoR reduces feature redundancy by up to 50% in untargeted LC-MS metabolomics, significantly enhancing data interpretability across diverse biological samples.
Metabolic signatures of ischemic stroke and hypertensive subtype identified with diagnostic models achieving AUCs over 0.86 in validation sets.
Exposome research in IBD highlights the importance of environmental factors, including microplastics and nanoplastics, for understanding disease risk and prevention strategies.
Multi-omics integration has revealed complex microbial functions across diverse environments, with datasets encompassing genomic, transcriptomic, proteomic, and metabolomic data.
Integrated proteomic and metabolomic analyses reveal a distinct molecular signature of acute mountain sickness with 3,137 proteins and 4,104 metabolites differentiating affected individuals.
Brown adipose tissue reduces hepatic oxidative stress by releasing 3-hydroxystearic acid, a cold-induced metabolite that modulates liver mitochondrial function.
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