Company News

New partnership leveraging metabolomics to uncover reasons for frailty in aging populations

Research Triangle Park, N.C. – July 10, 2019 – Metabolon, Inc. joins forces with three Canadian research groups – The Canadian Frailty Network, the Canadian Longitudinal Study of Aging (CLSA) and the McMaster Institute for Research on Aging (MIRA) – to discover the frailty biomarkers that may shed light on why some people become frail, determine the severity of frailty and what can be done to help avoid the condition.

Through the collaborative partnership, the four organizations will develop a $4-million research program to perform large-scale metabolomic profiling and biomarker identification on samples from Canada’s largest and most comprehensive study on aging.

Metabolomics is the process of measuring small molecules in blood and tissues, which can help scientists and clinicians identify biomarkers for diseases or health conditions, such as frailty.

The partnership brings together leaders in research on frailty, metabolomics and aging:

  • Canadian Frailty Network (CFN), Canada’s sole network devoted to improving care for older Canadians living with frailty and their families;
  • The Canadian Longitudinal Study on Aging, a national research platform on aging involving 50,000 men and women in Canada;
  • The McMaster Institute for Research on Aging (MIRA) at McMaster University, which seeks to optimize the health and longevity of the aging population through leading-edge research, education and stakeholder collaborations; and
  • Metabolon Inc., the global leader in revealing new biological insights through metabolomics.

In total, 10,000 blood samples collected from participants in the CLSA will be analyzed for both metabolomic and inflammatory biomarkers linked to frailty. Two additional biomarkers linked to aging will be analyzed from blood samples provided by 30,000 participants.

“CFN’s mission is to improve care for older Canadians to avoid or live with frailty,” said John Muscedere, MD, scientific director of Canadian Frailty Network and a professor of critical care medicine at Queen’s University/Kingston Health Sciences Centre. “Our work is based on creating scientific evidence that can be translated into practices and policies to avoid or delay frailty. We have built the largest and most comprehensive research portfolio and knowledge base on frailty that has ever existed in Canada.”

To date there has been little consensus on the biological mechanisms underpinning frailty. Analysis of the CLSA samples will allow researchers to identify metabolites that will help to improve not only early prediction of frailty, but also lead to further research on treatments addressing specific aspects of frailty.

“By enhancing the Canadian Longitudinal Study on Aging with data on frailty biomarkers, researchers will be able to ask questions not only about the basic science of frailty, but how that ties into the physical, psychological and social impacts of being frail,” said Parminder Raina, PhD, professor in the Department of Health Research Methods, Evidence and Impact at McMaster University, lead principal investigator of the CLSA and scientific director of MIRA.

“We know, from our nearly 20 years of experience conducting more than 10,000 studies, that metabolomics can enable biological discoveries that are otherwise unseen through other more established technologies,” said Rohan F. Hastie, PhD, president and CEO of Metabolon.

“By combining the detailed clinical and lifestyle information that is unique to the CLSA, with analytical power of Metabolon’s global metabolomics platform, this partnership will enable deeper understanding of disease etiology and progression across a wide range of conditions. It is an honor to be chosen by the CLSA to perform this important work.”

Specifically, the program will develop a research platform to understand the influence of the metabolome, microbiome, genes, diet, lifestyle and drug treatments on the health and well-being of aging populations.

“As a leader in mobility and frailty research, the McMaster Institute for Research on Aging is a proud contributor to this important research partnership that will help to improve understanding and mitigate the risks and consequences of frailty,” said Ine Wauben, managing director of the McMaster Institute for Research on Aging and the CLSA.

More than one million older Canadians are medically frail. This translates to over 25 per cent of Canadians between the ages of 65–84 years, and over 50 per cent over the age of 85.  By 2025, it is estimated that more than two million Canadians will be living with frailty. Frailty also impacts family and friend caregivers and places large burdens on health and social care systems to meet the growing demand.

– 30 –

Media inquiries:

Kate Cooke, Communications Manager, Canadian Frailty Network, Tel: 613-549-6666, x.2834; Mobile: 613-888-0315, kate@cfn-nce.ca

Laura Lawson, Communications Manager, Canadian Longitudinal Study on Aging, Tel: 905-525-9140, ext. 21413; Mobile: 905-921-3034; llawson@mcmaster.ca

About the Canadian Frailty Network

Canadian Frailty Network (CFN) is Canada’s sole network devoted to improving care for older Canadians living with frailty and supporting their families and caregivers. We do this by increasing frailty recognition and assessment, increasing evidence for decision-making from the bedside to the policy making level, advancing evidence-based changes to care, training the next generation of care professionals and scientists, and engaging with older adults and caregivers. Canadian Frailty Network is funded by the Government of Canada’s Networks of Centres of Excellence (NCE) program. For more information: please visit www.cfn-nce.ca, or follow us on TwitterLinkedIn, or Facebook.

About the Canadian Longitudinal Study on Aging

The Canadian Longitudinal Study on Aging (CLSA) is a large, national research platform on health and aging allowing researchers to answer critical questions on the biological, medical, psychological, social, lifestyle and economic aspects of aging, disability and disease. The CLSA follows 51,338 men and women who were between the ages of 45 and 85 at recruitment, for 20 years. Through its large sample, detailed data collection and longitudinal design, the CLSA enables research on the complex interplay among health determinants. For more information: please visit http://www.clsa-elcv.ca/, or follow us on TwitterLinkedIn, or Facebook.

About the McMaster Institute for Research on Aging

The McMaster Institute for Research on Aging (MIRA) aims to optimize the longevity of Canada’s aging population through research, education, and collaboration. Interdisciplinary teams work alongside older adults and key stakeholders to find ways that will help Canadians spend more years living well. MIRA also acts as a robust entry point to some of McMaster’s existing research platforms in aging, including the newly formed Collaborative for Health & Aging, the Labarge Centre for Mobility in Aging and the McMaster Optimal Aging Portal. For more information: please visit https://mira.mcmaster.ca/, or follow us on TwitterLinkedIn, or Facebook.

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

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.