Capacities

This panel optimizes, validates, and applies a multi-metabolite platform for exposome research based on metabolomics.

This methodology stands out for its broad metabolome coverage and its applicability in fields such as health research, nutrimetabolomics, toxicometabolomics, and pharmacometabolomics.

Key features:

• Simultaneous quantification of up to 2,000 metabolites.
• Applicable to urine, blood, plasma, and fecal samples.
• Short analysis times.
• Requires small sample volumes, enabling large-scale epidemiological studies.

The MEGA-UB panel enables the quantification and identification of novel biomarkers for cardiovascular disease, cognitive decline, metabolic disorders, and more.

Key Features:

• Simultaneous quantification up to 600 metabolites.
• Ensures precision in metabolite quantification.
• Efficient and cost-effective for managing large sample volumes.
• Broad metabolite coverage for essential clinical insights into health and disease.
• Transformative development for precision diagnostics and therapeutic monitoring.

This panel has been validated in a clinical study focused on mild cognitive impairment, where it helped measure metabolic changes in response to a Mediterranean diet intervention (Zhang L, et al,. Metabolites. 2024).

The GIGA-UB panel is an advanced tool for metabolomic analysis of plasma, serum, urine, tissues, milk, cerebrospinal fluid, meat, cell media, cell lysates, and cells.

Key Features:

• Up to 1,300+ metabolites.
• Covers up to 27 chemical families, including microbial metabolites.
• Chemical Families: Acylcarnitines, Amino acids, Biogenic amines, Cholesterol esters, and Diglycerides.
• Metabolic Pathways: Amino acid metabolism, Fatty acid metabolism, Central carbon metabolism, Lipid metabolism, Urea Cycle, Redox Balance, Cholesterol metabolism, Microbial metabolism.
• Validated for plasma, urine, and fecal extracts.

The UB-Prime panel enables the identification and quantification of 143 different metabolites commonly measured in biofluids and other sample matrices.

Key Features:

• Up to 145 metabolites.
• Covers up to 11 chemical families.
• Chemical Classes: Lipids, Fatty acids, Amino acids, Organic acids, Biogenic amines, Acylcarnitines, Phosphatidylcholines, Lysophosphatidylcholines (LysoPCs), Sphingomyelins, Sugars, and Neurotransmitters.
• Metabolic Pathways: Tricarboxylic acid cycle (Krebs cycle), Amino acid metabolism, Fatty acid metabolism, Central carbon metabolism, Lipid metabolism, Urea cycle, Redox balance, and One-carbon metabolism.
• Fully validated and optimized for plasma and urine samples.

Targeted Quantitative Metabolomic Panel
Aimed at better characterizing the biological imprint of external agents, including environmental pollutants and contaminants. This panel enables targeted analysis of exposome-related metabolites in multiple biofluids using LC-MS.

Key Features:

• Up to 115 metabolites.
• Chemical Families: Amino acids, Organic acids, Biogenic amines, Vitamins, Metals, and Fatty acids.
• Metabolic Pathways: Tricarboxylic acid cycle (TCA), Amino acid metabolism, Fatty acid metabolism, Central carbon metabolism, Metal ion metabolism, and Cation metabolism.