Company News

Metabolon Launches New Liver Fibrosis and Kidney Function Discovery Panels to Reveal Disease Mechanisms and Facilitate Research

Metabolon’s newest panels help academic and commercial researchers reveal complex biological insights about liver fibrosis and kidney dysfunction.

MORRISVILLE, N.C. – October 12, 2023 – 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 announces the launch of its new Liver Fibrosis and Kidney Function Discovery Panels.

Chronic liver disease causes two million deaths worldwide every year.  Similarly, chronic kidney disease affects nearly 36 million adults in the U.S., with almost nine out of ten patients remaining unaware of their condition.  Both diseases are treatable if detected early, but more research is needed to understand these ailments’ underlying causes and identify better biomarkers for early detection.      

As part of the Metabolon Discover portfolio of metabolomics services, Metabolon’s new Liver Fibrosis and Kidney Function Discovery Panels assess multiple metabolites across diverse biological pathways associated with liver fibrosis and kidney disease, providing a greater understanding of these conditions.  These new panels also leverage new visualization tools, allowing researchers to compare results across different data sets to identify and understand the impact of statistically significant changes in metabolite abundance.

  • Metabolon’s Liver Fibrosis Discovery Panel covers 105 metabolites across multiple biological processes associated with liver fibrosis.  This new panel gives researchers greater confidence in identifying the appropriate markers connected to liver fibrosis and addresses critical questions regarding mechanistic insights, personalized medicine, and drug discovery and testing.
Liver Fibrosis Discovery Panel

Liver Fibrosis Discovery Panel

The Liver Fibrosis Discovery Panel will provide deeper insights for researchers and thereby help them address key factors in liver fibrosis, including mechanistic insights, personalized medicine, and drug discovery, and testing.

  • Metabolon’s Kidney Function Discovery Panel analyzes 84 metabolites associated with biochemical processes affecting kidney function to help researchers differentiate the diverse spectrum of kidney disease.  Metabolomic profiling in patients with kidney disease identified several metabolites related to alterations in carbohydrate, amino acid, nucleotide, and lipid metabolism, making metabolic profiling an ideal technology for further kidney research.
Kidney Function Discovery Panel

Kidney Function Discovery Panel

The Kidney Function Discovery Panel analyzes 84 metabolites associated with the biochemical processes that affect kidney function to help researchers differentiate the diverse spectrum of kidney disease.

“Our new Liver Fibrosis and Kidney Function Discovery Panels seek to reveal fundamental metabolic changes, thereby facilitating our understanding of the underlying mechanisms of these diseases,” said Rangaprasad (Ranga) Sarangarajan, Ph.D., Chief Scientific Officer at Metabolon.  “Metabolon is committed to providing insights that can ultimately lead to the creation of tools improving patient outcomes through earlier detection, better monitoring, and improved treatments.”

To learn more about how Metabolon can help you gain functional insights into liver and kidney disease, please visit our Liver Fibrosis Discovery Panel and Kidney Function Discovery Panel pages.

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.