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MetabolomicsUnraveling the Heterogeneity of Hyperuricemia Using Untargeted Metabolomics and Statistical Modeling

Background. Hyperuricemia is the second most prevalent metabolic disorder globally and exhibits pronounced heterogeneity in clinical practice. Only about 10% of individuals with asymptomatic hyperuricemia (HUA) progress to gout, yet the lack of specific biomarkers and precise therapeutic targets ...

2025-10-05 | MTBLS13094 | MetaboLights
MetabolomicsNormalization techniques for PARAFAC modeling of urine metabolomics data
One of the body fluids often used in metabolomics studies is urine. The peak intensities of metabolites in urine are affected by the urine history of an individual resulting in dilution differences. This requires therefore normalization of the data to correct for such differences. Two normalization ...
2017-05-11 | MTBLS290 | MetaboLights
MetabolomicsIntegrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection
The metabolic effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on human blood plasma were characterized using multi-platform metabolic phenotyping with Nuclear Magnetic Resonance (NMR) spectroscopy and liquid chromatography-mass spectrometry (LC-MS). Quantitative mea...
2021-01-29 | MTBLS2014 | MetaboLights
MetabolomicsA microfluidic chip recapitulating the human neurovascular unit with a functional blood-brain barrier for modeling gut-brain interactions

The blood-brain barrier (BBB) is essential for central nervous system homeostasis, but most current in vitro models lack structural and functional fidelity. We developed a physiologically relevant human neurovascular unit microfluidic chip (hNVU-on-a-chip) incorporating brain microvascular endoth...

2025-10-28 | MTBLS13230 | MetaboLights
MetabolomicsModeling the metabolic interplay between a parasitic worm and its bacterial endosymbiont allows the identification of novel drug targets
Not available
ORGANISM(S): Brugia malayi 
ST001258 | MetabolomicsWorkbench
MetabolomicsModel-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation
Macrophages are central players in immune response, manifesting divergent phenotypes to control inflammation and innate immunity through release of cytokines and other signaling factors. Recently, the focus on metabolism has been reemphasized as critical signaling and regulatory pathways of human pa...
2012-09-05 | MTBLS23 | MetaboLights
TranscriptomicsModel-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation
We used genome-scale modeling and multi-omics (transcriptomics, proteomics, and metabolomics) analysis to assess metabolic features that are critical for macrophage activation. We constructed a genome-scale metabolic network for the RAW 264.7 cell line to determine metabolic modulators of activation...
ORGANISM(S): Mus musculus 
2012-08-02 | E-GEOD-39785 | biostudies-arrayexpress
MetabolomicsGenome-scale metabolic modelling of responses to polymyxins in Pseudomonas aeruginosa
Background: Pseudomonas aeruginosa often causes multidrug-resistant infections in immunocompromised patients and polymyxins are often used as the last-line therapy. Alarmingly, resistance to polymyxins has been increasingly reported worldwide recently. To rescue this last-resort class of antibiotics...
2018-02-28 | MTBLS630 | MetaboLights
ProteomicsGenome-scale metabolic modeling reveals metabolic trade-offs associated with lipid production in Rhodotorula toruloides
Rhodotorula toruloides is a non-conventional, oleaginous yeast able to naturally accumulate high amounts of microbial lipids. Constraint-based modeling of R. toruloides has been mainly focused on the comparison of experimentally measured and model predicted growth rates, while the analysis of intrac...
ORGANISM(S): Rhodotorula toruloides 
2023-03-13 | PXD037281 | Pride
Proteomics Rhodotorula toruloides Metabolic fluxes Multiple substrates Genome-scale model 
GenomicsMetabolic modeling reveals the aging-associated decline of host–microbiome metabolic interactions in mice
Metabolic modeling reveals the aging-associated decline of host–microbiome metabolic interactions in mice
PRJNA1090973 | ENA
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