METABOLOMICS

Our Process

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Study Design

With expertise honed over more than 10,000 projects, our early study design guidance can help ensure your study is properly powered, properly controlled and aligned to your research objectives.

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Sample Collection

The quality of your sample is everything. Our Sample Prep team provides time-tested sample collection and handling guidelines for collection and storage, volumes requirements and tube selection to ensure you are prepped for success, right from the start.

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Analysis

Metabolon’s proprietary LC-MS metabolomics platform can help reveal detect more unique metabolites than any other platform.

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Curation

Voluminous metabolomics data sets are often riddled with noisy ion features. Our highly trained curation staff has the skills and technical expertise to confidently navigate large data sets to deliver a reliable, high-fidelity view of your results.

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Bioinformatics

Our integrated bioinformatics solution makes it possible to efficiently and accurately mine the world’s largest Level 1 metabolomics compound library for every study, to ensure consistently reliable results, every time.

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Interpretation

Our Discovery and Translational Science experts elevate meaningful biological insights from pages of spreadsheet data to help narrate a comprehensive and credible story of your research discoveries.

Personalized Guidance At Every Step

From study design to sample collection, report visualization to biological interpretation, Metabolon experts guide you every step of the way.

Learn More

See how Metabolon can advance your path to preclinical and clinical insights

Get A Project Quote

Talk with an expert

Request a quote for our services, get more information on sample types and handling procedures, request a letter of support, or submit a question about how metabolomics can advance your research.

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Corporate Headquarters

617 Davis Drive, Suite 100
Morrisville, NC 27560

Mailing Address:
P.O. Box 110407
Research Triangle Park, NC 27709

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+1 (919) 572-1711

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+1 (919) 572-1721

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International Headquarters

Metabolon GmbH

Zeppelinstraße 3
85399 Hallbergmoos
Germany

References

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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.

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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.

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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.