Company News

Metabolon and Cardiff University’s Division of Psychological Medicine and Clinical Neuroscience Forge Alliance to Propel Multiple Sclerosis Research

Partnership will investigate the underlying disease mechanisms of multiple sclerosis (MS) with the potential of finding new relevant drug targets

MORRISVILLE, NC, March 12, 2024 – Metabolon, Inc., the global leader in providing metabolomics solutions advancing a wide variety of life science research, diagnostic, therapeutic development, and precision medicine applications, today announced a partnership with Division of Psychological Medicine and Clinical Neuroscience (DPMCN) at Cardiff University, a renowned institution at the forefront of biomedical research. This collaboration is poised to discover new biomarkers to accelerate advancements in the understanding and treatment of multiple sclerosis (MS).

MS is a neuroinflammatory disorder that affects the central nervous system, giving rise to a range of physical and neuropsychological challenges. Worldwide, more than 2.8 million people are living with the disease. Despite ongoing research, the precise causes of MS remain uncertain; however, it is widely accepted that a combination of genetic and environmental factors plays a role. This intricate interplay between genetic predisposition and environmental influences makes metabolomics an essential tool for studying how these factors contribute to and influence disease development.

For years, DPMCN has been following MS patients and developing cutting-edge tools for clinicians and researchers. This collaboration will focus on profiling plasma and cerebrospinal fluid (CSF) samples collected from patients with MS. The longitudinal aspect of this study enables the profiling of repeated samples from the same patient, facilitating the ability to define the temporal evolution of pathologies at the individual level, a critical aspect given the inherent heterogeneity of MS.

Additionally, this cohort includes patients with primary progressive MS, a rare form of MS characterized by continuous and progressive disease without periods of partial or complete recovery, and for which there are limited approved therapies.  A subset of patients has also been genotyped, allowing for multiomic integration to provide a holistic understanding of the molecular underpinnings of MS, potentially unlocking new avenues for therapeutic interventions.

“Predictive biomarkers are needed to inform more personalised care for people with multiple sclerosis. This collaboration will provide detailed metabolomic profiles on a large, longitudinal cohort for whom we already have other multi-dimensional data. This represents an exciting opportunity to improve predictive models and thereby aim for more accurate predictions of outcome for people with MS,” said Dr Emma Tallantyre, a Clinical Reader at Cardiff University.

“Currently, there is no cure for MS, only disease-modifying therapies that can slow disease progression,” said Dr Karl Bradshaw, Chief Business Officer at Metabolon. “By leveraging Cardiff’s extensive research and our decades of expertise in generating the highest quality and most accurate metabolomics data on the market, we aim to redefine our understanding of multiple sclerosis to make a profound impact on the lives of those affected by this devastating disease.”

To learn more about Metabolon’s research and development efforts in neurodegeneration diseases, including Alzheimer’s, Parkinson’s, and MS, visit https://www.metabolon.com/applications/neuroscience/

About Metabolomics

Metabolomics, the large-scale study of all small molecules in a biological system, is the only omics technology that provides a complete current-state functional readout of a biological system. Metabolomics helps researchers see beyond individual genetic variation, capturing the combined impact of genetic and external factors, such as drugs, diet, lifestyle, and the microbiome, on human health. By measuring thousands of discrete chemical signals that form biological pathways in the body, metabolomics can reveal important biomarkers, enabling a better understanding of a drug’s mechanism of action, pharmacodynamics, and safety profile, as well as individual responses to therapy.

About Metabolon

Metabolon, Inc. is the global leader in metabolomics, with a mission to deliver biochemical data and insights that expand and accelerate the impact of life sciences research and complement other ‘omics’ technologies. With 25 years of experience, 15,000+ client projects, 4,000+ scientific publication references, and ISO 9001:2015, CLIA, and CAP certifications, Metabolon has developed industry-leading scientific, technology, and bioinformatics techniques.

Metabolon’s Global Discovery Panel is powered by the world’s largest proprietary metabolomics reference library. Metabolon’s industry-leading data and translational science expertise help customers and partners address some of the most challenging and pressing questions in the life sciences, accelerating research and enhancing development success. The company offers scalable, customizable multiomics solutions, including metabolomics and lipidomics, that support customer needs from discovery through clinical trials and product life-cycle management.

For more information, please visit metabolon.com and follow us on LinkedIn and Twitter.

Media Inquiries

Sean Iverson
VP, Global Marketing
mailto:siverson@metabolon.com

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.

Contact Metabolon

Corporate Headquarters
617 Davis Drive, Suite 100
Morrisville, NC 27560

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

Phone
+1 (919) 572-1711

Fax
+1 (919) 572-1721

International Headquarters
Metabolon GmbH
Zeppelinstraße 3
85399 Hallbergmoos
Germany

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.