One kit, broad applications

Identify metabolite signatures associated with disease, treatment response, or physiological states to support biomarker discovery and validation.

Integrate metabolomics with genomics, transcriptomics, proteomics, and microbiome data to connect molecular changes to real-time biological phenotype.

Reveal pathway perturbations and biochemical responses that help explain how drugs, interventions, or environmental exposures impact biology.

Identify metabolically connected pathways and biological processes that uncover novel therapeutic targets and opportunities for intervention.

Characterize altered metabolic pathways to better understand disease biology, progression, and underlying molecular mechanisms.

Differentiate patient subgroups based on metabolic phenotypes to support precision medicine and improved cohort definition.

Identify metabolic patterns associated with therapeutic response or resistance to help predict and monitor treatment outcomes.

Enable large-scale characterization of metabolic variation across populations to study health, disease risk, lifestyle, diet, and environmental influences.

Detect biochemical changes associated with toxicity, organ stress, or off-target effects to support safety evaluation and risk assessment.

Profile markers that report on systemic biological stress responses such as inflammation, injury, glycemic stress, oxidative stress, wasting and stress signaling molecules.

Profile a variety of exposures including dietary, halogens, consumer products and medications.

Measure microbial signals that influence human health through secondary bile acids, aromatic / indole amino acid derivatives and many other metabolites of established microbial origin.

See functional outputs of liver Phase 2 metabolism, as well as markers that report on liver health.

See metabolites that report on kidney function and injury, as well as uremic toxins.

Profile metabolites from central energy pathways, as well as cofactors that support reactions, signaling molecules and molecules catabolized to generate energy.

Characterize tumor-driven metabolic reprogramming through alterations in glycolysis, TCA cycle intermediates, amino acid utilization, redox balance, and oncometabolite pathways associated with proliferation and therapeutic response.

Profile lipid metabolism, bile acid signaling, acylcarnitines, and amino acid pathways linked to insulin resistance, mitochondrial dysfunction, cardiometabolic health, and energy homeostasis.

Characterize tryptophan/arginine pathways and lipid mediators that define immune tone and inflammatory state.