Our process.
Your lab.

The Metabolon Verus™ Metabolomics Profiling Kit brings world-class bioinformatics and Metabolon-standard science directly to your lab.

Metabolon Verus Kit product box

Our process.
Your lab.

The Metabolon Verus™ Metabolomics Profiling Kit brings world-class bioinformatics and Metabolon-standard science directly to your lab.

kits box

Discover the functional phenotype and complementary nature of metabolomics research with Metabolon.

Metabolomics identifies exogenous and endogenous compounds in a biological sample, enabling researchers to observe their effects on host biology and their role in multiomics applications. This makes it a powerful tool for studying how diseases, treatments, and the environment can impact health. Explore our services below.

Untargeted Metabolomics

The most cited, highest-impact data generation service for metabolomics research. Explore over 70 biochemical pathways and identify over 5,400 metabolites in a single sample with us.

Targeted Panels and Assays

Absolute quantification services for more than 1,000 metabolites and lipids, conducted in ISO 9001:2015 and CLIA-certified labs.

Bioinformatics Software

Advanced analysis and data enrichment tools, curated pathways, statistics, and customizable visualizations all included within our Integrated Bioinformatics Platform.

Advanced analysis and data enrichment tools, curated pathways, statistics, and customizable visualizations all included within our Integrated Bioinformatics Platform.

Guide to Metabolomics

Explore the functional role of metabolomics in commercial, clinical, and basic research projects.

Why Metabolon?

High-Impact Data, Higher-Value Solutions

Metabolon is the industry’s leading metabolomics service provider, with over 25 years of experience delivering high-quality data and actionable insights to researchers worldwide.

Our platform combines ultra-high-performance liquid chromatography/tandem accurate mass spectrometry (UHPLC/MS/MS) with the world’s largest proprietary biochemical reference library. With over 5,400 metabolites spanning 70+ metabolic pathways, we deliver reliable data that drives biomarker discovery and supports multiomics research outcomes not possible with other methods, alone.

Metabolon’s services extend beyond data generation. We provide integrated bioinformatics solutions and advanced interpretation services led by PhD-level experts, empowering clients to uncover critical insights, accelerate biomarker identification, and maximize their research potential.

Stay ahead in your research: Failure to utilize Metabolon’s industry-leading metabolomics data risks gaps in your multiomic analysis, placing you at a competitive disadvantage.

mayo clinic
national cancer institute
cleveland clinic
johns hopkins
merck
johnson johnson

Gold Standard for Actionable Metabolomics

5,400+

5,400+ metabolites and the largest Level 1 annotated library in the industry.

Contributing to Scientific Advancement

4,000+

4,000+ publications citing data from Metabolon, more than any other metabolomics service provider.

Global Metabolomics Leader

15,000+

15,000+ Projects completed by 45+ PhDs over 25 years in the metabolomics industry

Experience Counts

2,000,000+

2,000,000+ samples analyzed in Metabolon’s state of the art research facility.

Don’t know where to begin?

Explore the potential of Metabolon’s Global Discovery Panel for accelerating your research outcomes, browse our project deliverables, or speak with a member of the team to discuss your study requirements.

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.