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MetabolomicsMetabolic Database of Sepsis
SepsisLiMetDB is a curated metabolomics database characterizing sepsis-induced liver injury, comprising 2,894 metabolites identified from 88 longitudinal clinical samples (20 healthy controls, 36 sepsis without liver injury, 32 sepsis with liver injury) across four disease progression timepoints (D1...
2026-08-03 | MTBLS14459 | MetaboLights
MetabolomicsHepatic PPARα function and lipid metabolic pathways are dysregulated in polymicrobial sepsis

Despite intensive research and constant medical progress, sepsis remains one of the most urgent unmet medical needs of today. Most studies have been focused on the inflammatory component of the disease, however, recent advances support the notion that sepsis is accompanied by extensive metabolic ...

2020-01-10 | MTBLS1386 | MetaboLights
MetabolomicsUPLC-Q-TOF/MS-Based Plasma and Urine Metabolomics Contribute to the Diagnosis of Sepsis
In this study, we aimed to identify potential metabolic biomarkers that can improve the diagnostic accuracy of sepsis. Sixty-six patients including 30 septic and 36 nonsepsis patients from an intensive care unit were recruited. The global plasma and urine metabolomic profiles were determined by ultr...
2023-04-18 | MTBLS3505 | MetaboLights
MetabolomicsCirculating sepsis-related metabolite sphinganine could protect against intestinal damage during sepsis

INTRODUCTION: Sepsis is intricately linked to intestinal damage and barrier dysfunction. At present times, there is a growing interest in a metabolite-based therapy for multiple diseases.

METHODS: Serum samples from septic patients and healthy individuals...

2023-07-28 | MTBLS7878 | MetaboLights
MetabolomicsAn explainable prognostic prediction panel for sepsis based on serum amino acid profiles

Sepsis is a life-threatening syndrome requiring aggressive management, and novel noninvasive biomarkers to enable risk stratification of sepsis with high confidence and to predict the sepsis-related outcomes are urgently needed. 

A mass spectrometry–based quantitative method was used t...

2026-05-24 | MTBLS14567 | MetaboLights
MetabolomicsTGF-β uncouples glycolysis and inflammation in macrophages and controls the survival during sepsis

The mechanisms by which macrophage metabolism is regulated and the effects of metabolism on diseases remain largely unknown. We show here that TGF-β regulates the glycolysis of macrophages independently of inflammatory cytokine production, and thus affects the survival in experimental sepsis. Spe...

2023-02-17 | MTBLS6886 | MetaboLights
MetabolomicsBioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Streptococcus pneumoniae assays)

The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escheric...

2022-08-03 | MTBLS2323 | MetaboLights
MetabolomicsBioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Staphylococcus aureus assays)

The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escheric...

2022-08-03 | MTBLS1898 | MetaboLights
MetabolomicsBioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Streptococcus pyogenes assays)

The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escheric...

2022-08-03 | MTBLS2324 | MetaboLights
MetabolomicsBioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Klebsiella pneumoniae assays)

The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escheric...

2022-08-03 | MTBLS2322 | MetaboLights
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