MULTIOMICS

Multiomics Mastery: Outperform & Outpace with Metabolon

Gain deeper insights into complex biological systems to unlock new discoveries with a comprehensive multiomic approach.

Unravel Disease Mechanisms
Accelerate Drug Discovery
Personalize Medicine

Read eBook

Demo our Platform$

Read eBook

Demo our Platform

Speak to a Metabolomics Expert Today

Request a quote, get detailed information on sample types, or learn how metabolomics can accelerate your research.

First Name(Required)

Last Name(Required)

Email(Required)

Company Name(Required)

This field is hidden when viewing the form

Industry(Required)

Country(Required)

State(Required)

Territory(Required)

Marketing Opt-in

I would like to receive information from Metabolon

By submitting this form, you agree to our Terms of Use, Privacy Policy, and Cookie Policy.

This field is hidden when viewing the form

FormSubmittedURL

This field is hidden when viewing the form

UTM Medium

This field is hidden when viewing the form

UTM Source

This field is hidden when viewing the form

UTM Campaign

This field is hidden when viewing the form

UTM Content

This field is hidden when viewing the form

UTM Term

This field is hidden when viewing the form

GCLID

Metabolomics in Genomics Research

Combining genomics and metabolomics technologies offers a powerful approach for understanding complex biological systems and disease mechanisms. Genomics provides insights into genetic variations and potential disease risk factors, while metabolomics reveals the dynamic changes in metabolic pathways and their products. Integrating these technologies allows researchers to link genetic information with metabolic profiles, uncovering how genetic variations influence metabolic processes and contribute to disease. This synergy enhances the ability to identify biomarkers, understand disease mechanisms, and develop personalized treatments. By correlating genomic data with metabolite levels, scientists can gain a more comprehensive view of health and disease, leading to improved diagnostics and therapeutic strategies.

Learn More

Metabolomics in Proteomics Research

Unlike proteins, which are situated at an intermediate step in the central dogma of biology, metabolites usually constitute the final stage of biological processes, making them reflectors of the combined inputs from the genome, proteome, microbiome, and environment. Thus, using metabolomics to evaluate the metabolome alongside the proteome is beneficial for numerous types of studies including, but not limited to, characterizing mechanisms of disease onset and progression, evaluating the therapeutic response, and elucidating various facets of non-human biology.

Learn More

Metabolomics in Transcriptomics Research

Metabolomics can significantly enhance transcriptomics research by providing a dynamic view of the functional outputs of gene expression. While transcriptomics focuses on the quantification of RNA transcripts to infer gene activity, metabolomics examines the small molecules produced during metabolic processes, which are direct products of cellular functions. By integrating these two approaches, researchers can correlate changes in gene expression with alterations in metabolic profiles, thereby gaining a deeper understanding of cellular responses and regulatory mechanisms. This synergy allows for the identification of metabolic pathways influenced by specific gene expressions, revealing potential biomarkers and therapeutic targets.

Learn More

Metabolomics and The Microbiome

Targeted or shotgun 16S rRNA sequencing is typically used to identify the bacteria species and strains in the gut microbiome. However, this only reveals part of the picture. As key drivers of metabolism, metabolites not only receive inputs from the genome, proteome, and environment, they also represent the terminal step of biological processes, which makes them the closest reflection of an organism’s real-time physiologic status. Given this interconnectivity, evaluating metabolomics alongside other omics is essential to gaining a comprehensive understanding of the gut microbiome and its effects on human physiology.

Learn More

Download our Free Guide to Multiomics

Discover how multiomic technologies are transforming disease research. Get your free guide today.

Download for Free

“Metabolon has developed a solid, scalable solution to the non-trivial problem of metabolomics biochemical interpretation, specifically tailored to their world-leading data acquisition platform. Leveraging decades of experience in data curation, Metabolon provides intuitive visualization tools for pathway analysis and disease association, adding even more value to an already outstanding product.”

David Broadhurst, PhD
Professor of BioSystems Data Science at Edith Cowan University, Australia.

Featured Resources

Explore our featured resources that discuss metabolomics as a complement to other omic technologies to provide a holistic view of health. Find more here.

eBook: Guide to Multiomics

Webinar: Metabolomics in Multiomics Research: 5 Key Case Studies of Multiomics Research Driving Novel Insight Discovery

eBook: Bringing the Genome to Life with Metabolomics

GET STARTED

Talk with an expert

Request a quote, get detailed information on sample types, or learn how metabolomics can accelerate your research. Find our contact details are here.

Find us on:

Talk with a Metabolomics expert

Name(Required)

Email(Required)

Company Name(Required)

This field is hidden when viewing the form

Industry(Required)

Country(Required)

State(Required)

Territory(Required)

ZIP/Postal Code(Required)

Enquiry Type(Required)

Message

Marketing Opt-in

I would like to receive information from Metabolon

By submitting this form, you agree to our Terms of Use, Privacy Policy, and Cookie Policy.

This field is hidden when viewing the form

FormSubmittedURL

This field is hidden when viewing the form

UTM Medium

This field is hidden when viewing the form

UTM Source

This field is hidden when viewing the form

UTM Campaign

This field is hidden when viewing the form

UTM Content

This field is hidden when viewing the form

UTM Term

This field is hidden when viewing the form

GLCID

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.