One kit, broad applications

The Metabolon Verus™ Kit enables breakthrough research across therapeutic areas, research settings, and sample types.

IBP on a computer with kits reagents

One kit, broad applications

The Metabolon Verus™ Kit enables breakthrough research across therapeutic areas, research settings, and sample types.

IBP on a computer with kits reagents

Explore themes and applications

For the Metabolon Verus™ Metabolomics Profiling Kit

Applications
Biological Themes

Biomarker Studies

Disease
Treatment response

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

Multi-omics Integration

Genomics
Transcriptomics
Proteomics

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

Mechanism of Action

Drugs
Interventions
Exposures

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

Drug Target Discovery

Connected pathways
Biological processes

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

Disease Underpinnings

Disease progression
Molecular mechanisms

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

Patient Stratification

Precision medicine
Cohort definition

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

Responder/Non-Responder

Therapeutic response
Treatment outcomes

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

Population Studies

Population health

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

Safety/Toxicity Assessment

Toxicity
Organ stress

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

Biological Stress

Oxidative stress
Redox

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

Exposome and Nutrition

Diet response
Xenobiotics

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

Microbiome Research

Gut dysbiosis
Bile acids

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

Liver Function

Phase 2 metabolism

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

Kidney Function

Uremic toxins

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

Energy and Mitochondrial Health

TCA cycle
Mitochondria

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

Cancer Metabolism

Glycolysis
Redox balance

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.

Metabolic Disease

Insulin resistance
Cardiometabolism

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

Immunometabolism

Inflammation
Immune profiling

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

Explore themes and applications for the Metabolon Verus™ Metabolomics Profiling Kit

Applications
Biological Themes

Biomarker Studies

Disease
Treatment response

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

Multi-omics Integration

Genomics
Transcriptomics
Proteomics

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

Mechanism of Action

Drugs
Interventions
Exposures

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

Drug Target Discovery

Connected pathways
Biological processes

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

Disease Underpinnings

Disease progression
Molecular mechanisms

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

Patient Stratification

Precision medicine
Cohort definition

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

Responder/Non-Responder

Therapeutic response
Treatment outcomes

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

Population Studies

Population health

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

Safety/Toxicity Assessment

Toxicity
Organ stress

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

Biological Stress

Oxidative stress
Redox

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

Exposome and Nutrition

Diet response
Xenobiotics

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

Microbiome Research

Gut dysbiosis
Bile acids

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

Liver Function

Phase 2 metabolism

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

Kidney Function

Uremic toxins

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

Energy and Mitochondrial Health

TCA cycle
Mitochondria

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

Cancer Metabolism

Glycolysis
Redox balance

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.

Metabolic Disease

Insulin resistance
Cardiometabolism

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

Immunometabolism

Inflammation
Immune profiling

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

See the Metabolon Verus™ Kit in action for your application

See the Metabolon Verus™ Kit in action for your application

References

1. Zgoda-Pols, J.R., et al., Metabolomics analysis reveals elevation of 3-indoxyl sulfate in plasma and brain during chemically-induced acute kidney injury in mice: investigation of nicotinic acid receptor agonists. Toxicol Appl Pharmacol, 2011. 255(1): p. 48-56.

2. Bryant, J.A., et al., The impact of an oral purified microbiome therapeutic on the gastrointestinal microbiome. Nat Med, 2026. 32(1): p. 186-196

3. McGovern, B .H., et al., SER-109, an Investigational Microbiome Drugto Reduce Recurrence After Clostridioides difficile Infection: Lessons Learned From a Phase 2 Trial. Clin Infect Dis, 2021. 72(12): p. 2132-2140.

4. Feuerstadt, P., et al., SER-109, an Oral Microbiome Therapy for Recurrent Clostridioides difficile Infection. N Engl J Med, 2022. 386(3): p. 220-229.

5. Hu, Z., et al., Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer. Mol Oncol, 2025. 19(6): p. 1737-1750.

6. Butler, F.M., et al., Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort. J Ren Nutr, 2025.

7. Stanford, J., et al., Metabolomic Profiling and Diet Quality Scoring in a Randomized Crossover Trial of Healthy and Typical Dietary Patterns. Mol Nutr Food Res, 2025 . 69(23): p. e70271.

8. O’Connor, L.E., et al., Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr, 2023. 153(8): p. 2181-2192.

9. Fritsch, D.A., et al., Microbiome function underpins the efficacy of a fiber-supplemented dietary intervention in dogs with chronic large bowel diarrhea. BMC Vet Res, 2022. 18(1): p. 245.

10. Leal, L.N., et al., Preweaning nutrient supply improves lactation productivity and reduces the risk of culling in Holstein cows. J Dairy Sci, 2025. 108(6): p. 5875-5888.

11. Ahsin, M., et al., Soil and pasture health underlie improved beef nutrient density determined by untargeted metabolomics in Southern US grass finished beef systems. NPJ Sci Food, 2025. 9(1): p. 151.

12. Yin, W., et al., Plasma lipid profiling across species for the identification of optimal animal models of human dyslipidemia. J Lipid Res, 2012. 53(1): p. 51-65.

13. Porter, F .D., et al., Cholesterol oxidation products are sensitive and specific blood-based biomarkers for Niemann-Pick C1 disease. Sci Transl Med, 2010. 2(56): p. 56ra81.

14. Needham, B .D., et al., Plasma and Fecal Metabolite Profiles in Autism Spectrum Disorder. Biol Psychiatry, 2021. 89(5): p. 451-462

15. Li, C., et al., Estradiol and mTORC2 cooperate to enhance prostaglandin biosynthesis and tumorigenesis in TSC2-deficient LAM cells. J Exp Med, 2014. 211(1): p. 15-28.

16. Green, P.G., et al., Metabolic flexibility and reverse remodelling of the failing human heart. Eur Heart J, 2025. 46(25): p. 2422-2433.

17. Maekawa, H., et al., SGLT2 inhibition protects kidney function by SAM-dependent epigenetic repression of inflammatory genes under metabolic stress. J Clin Invest, 2025. 135(19).

18. Wu, D., et al., Integrated screens reveal that guanine nucleotide depletion, which is irreversible via targeting IMPDH2, inhibits pancreatic cancer and potentiates KRAS inhibition. Gut, 2026.

19. Schwerdtfeger, L.A., et al., Gut microbiota and metabolites are linked to disease progression in multiple sclerosis. Cell Rep Med, 2025. 6(4): p. 102055.

20. Wu, H., et al., Microbiome-metabolome dynamics associated with impaired glucose control and responses to lifestyle changes. Nat Med, 2025. 31(7): p. 2222-2231.

21. Jacobs, J.P., et al., Cognitive behavioral therapy for irritable bowel syndrome induces bidirectional alterations in the brain-gut-microbiome axis associated with gastrointestinal symptom improvement. Microbiome, 2021. 9(1): p. 236.

22. Pietzner, M., et al., Plasma metabolites to profile pathways in noncommunicable disease multimorbidity. Nat Med, 2021. 27(3): p. 471-479.

23. Faquih, T.O., et al., Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites. J Gerontol A Biol Sci Med Sci, 2025. 80(3).

24. Scherer, N., et al., Coupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits. Nat Genet, 2025. 57(1): p. 193-205.

25. Holmes, Z.C., et al., Untargeted metabolomic analysis of human milk from healthy mothers reveals drivers of metabolite variability. Sci Rep, 2024. 14(1): p. 20827.

26. Titz, B., et al., Implications of Ocular Confounding Factors for Aqueous Humor Proteomic and Metabolomic Analyses in Retinal Diseases. Transl Vis Sci Technol, 2024. 13(6): p. 17.

27. Bloom, S.M., et al., Cysteine dependence of Lactobacillus iners is a potential therapeutic target for vaginal microbiota modulation. Nat Microbiol, 2022. 7(3): p. 434-450.

28. Leimer, E.M., et al., Lipid profile of human synovial fluid following intra-articular ankle fracture. J Orthop Res, 2017. 35(3): p. 657-666.

Instrument Requirements

LC platform Waters Acquity I-Class UPLC
Thermo Vanquish Flex or Horizon
Mass spec platform Thermo Scientific Orbitraps
  • Tribrids (IDX/IQX)
  • Orbitrap Exploris series (120/240/480)
  • Q Exactive (Plus and UHMR)
More instruments to follow
Software required Xcalibur 4.2 or higher Freestyle 1.8 or higher Tune Software 2.11 or higher
Column (not included) Waters BEH C18 (2.1 × 100 mm, 1.7 µm) column is required for this kit (not included)

Register your interest

Fill out the form below to register your interest.

loading gif

Thank you! Redirecting...