From discovery to translation across every domain

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

IBP on a computer with kits reagents

From discovery to translation across every domain

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

scientist smiling with kit reagents

Built for diverse users

And broad research applications

The Metabolon Verus™ Kit is designed for any laboratory with an LC-MS platform. Whether you run a shared core facility or a focused research team, it delivers the same standardized, reproducible results.

Labs with LC-MS Instruments
Research Teams

Core Institutes

gloved hand handles a vial in a lab

Run multiple projects per plate, each processed against matrix-specific libraries built on historical knowledge, maximizing instrument utilization and scientific rigor in a single workflow. Every user, regardless of study size, has direct access to the Integrated Bioinformatics Platform, a comprehensive analytical environment for statistical modeling, pathway analysis, and multi-omics integration.

CROs

woman operates equipment in a lab

Offer a metabolomics capability that is standardized, reproducible, and globally comparable, positioning the CRO as a premium partner for preclinical, late-stage studies, and sponsor-critical programs where reproducible data quality is non-negotiable. Detect pathway-level metabolic shifts linked to efficacy, safety, and patient response across in vitro, in vivo, and ex vivo models, providing clients with the biomarker and mechanistic evidence needed to make faster, better-informed go/no-go decisions.

New Labs

woman smiles facing camera in lab attire

Deploy validated, standardized LC-MS workflows immediately, eliminating the typical 6–12 months of method optimization required to establish reliable metabolomics workflows in a new laboratory and dramatically reducing the total cost and time required to launch metabolomics capabilities.

Academic Researchers

several scientists all working together on a project

Interrogate the exposome, microbiome, and host metabolic pathways within a single experiment, generating the biological breadth needed to understand how diet, environment, and metabolism converge on disease mechanisms.

Biotech

male lab researcher directs a presentation

Integrate metabolomics with other data modalities to build a more complete biological picture, strengthening the evidence base for clinical success, label expansion, and patent protection.

Pharma

pharma executive works on a clipboard

Incorporate metabolomics across clinical programs at any scale, from early translational studies through to multi-site Phase III trials, with data quality and reproducibility that meets the demands of each stage.

Built for diverse users and broad research applications

The Metabolon Verus™ Kit is designed for any laboratory with an LC-MS platform. Whether you run a shared core facility or a focused research team, it delivers the same standardized, reproducible results.

Labs with LC-MS Instruments
Research Teams

Core Institutes

gloved hand handles a vial in a lab

Run multiple projects per plate, each processed against matrix-specific libraries built on historical knowledge, maximizing instrument utilization and scientific rigor in a single workflow. Every user, regardless of study size, has direct access to the Integrated Bioinformatics Platform, a comprehensive analytical environment for statistical modeling, pathway analysis, and multi-omics integration.

CROs

woman operates equipment in a lab

Offer a metabolomics capability that is standardized, reproducible, and globally comparable, positioning the CRO as a premium partner for preclinical, late-stage studies, and sponsor-critical programs where reproducible data quality is non-negotiable. Detect pathway-level metabolic shifts linked to efficacy, safety, and patient response across in vitro, in vivo, and ex vivo models, providing clients with the biomarker and mechanistic evidence needed to make faster, better-informed go/no-go decisions.

New Labs

woman smiles facing camera in lab attire

Deploy validated, standardized LC-MS workflows immediately, eliminating the typical 6–12 months of method optimization required to establish reliable metabolomics workflows in a new laboratory and dramatically reducing the total cost and time required to launch metabolomics capabilities.

Academic Researchers

several scientists all working together on a project

Interrogate the exposome, microbiome, and host metabolic pathways within a single experiment, generating the biological breadth needed to understand how diet, environment, and metabolism converge on disease mechanisms.

Biotech

male lab researcher directs a presentation

Integrate metabolomics with other data modalities to build a more complete biological picture, strengthening the evidence base for clinical success, label expansion, and patent protection.

Pharma

pharma executive smiles at camera

Incorporate metabolomics across clinical programs at any scale, from early translational studies through to multi-site Phase III trials, with data quality and reproducibility that meets the demands of each stage.

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)

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