Case Study

Gilead Sciences

Metabolon collaborates with Gilead Sciences to use metabolomics to discover less invasive diagnostic tools for NASH.

Metabolon Logo

Rohit Loomba
Director, NAFLD Research Center, Professor of Medicine, University of California at San Diego

“While more study is needed, metabolomics may one day prove to outperform more invasive methods of assessing liver fibrosis, revealing opportunities to incorporate metabolomics into diagnostic tools.”

I

WATCH THE VIDEO

Metabolon Logo

Rohit Loomba
Director, NAFLD Research Center, Professor of Medicine, University of California at San Diego

“While more study is needed, metabolomics may one day prove to outperform more invasive methods of assessing liver fibrosis, revealing opportunities to incorporate metabolomics into diagnostic tools.”

I

WATCH THE VIDEO

Metabolon collaborates with Gilead Sciences—a leading research-based biopharmaceutical company focused on the discovery, development, and commercialization of innovative medicines—to discover less invasive diagnostic tools for nonalcoholic steatohepatitis (NASH).

Gilead Sciences

Gilead Sciences is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades with the goal of creating a healthier world. Gilead is committed to advancing innovative medicines to prevent and treat life-threatening diseases, including HIV, viral hepatitis, and cancer.

Rohit Loomba

Rohit Loomba, MD, MHSc, is an expert in the clinical management of chronic liver diseases. His research focuses on all aspects of nonalcoholic fatty liver disease including aging, epidemiology, genetic and environmental predisposition, natural history, and treatment of NASH.

The Challenge

NASH is a disease caused by the buildup of fat in the liver. Characterized by the presence of hepatic steatosis, inflammation, hepatocyte ballooning, and variable degrees of fibrosis in patients who do not consume excess alcohol, this life-threatening condition is estimated to affect up to 5% of the U.S. population.

Patients with advanced fibrosis from NASH are at risk of liver-related morbidity and mortality attributable to hepatic decomposition and hepatocellular carcinoma. NASH is the second leading indication for liver transplants in the U.S. and its burden is projected to increase 2-fold by 2030. A challenge of studying NASH is the lack of robust blood biomarkers.

Currently, NASH efficacy assessment is limited to imaging or biopsy, which not only can be costly and invasive but also impractical. In a study published in Gastroenterology, researchers sought to discover plasma biomarkers of response in a Phase II trial for NASH with a novel molecule (ACCi).

Dysfunctional metabolism lies at the center of NASH/NAFLD and includes lipid metabolism, cholesterol metabolism, inflammation, redox status, and mitochondrial function which can be assessed via metabolomic screening.

The team examined the safety and efficacy of GS-0976, an inhibitor of acetyl-coenzyme A carboxylase (ACC) in the liver, in a Phase II randomized, placebo-controlled trial of patients with NASH1. Patients were randomly assigned to groups given 20 mg of GS-0976, 5 mg of GS-0976, or the placebo daily for 12 weeks. Measures of hepatic steatosis and stiffness were evaluated and metabolomics analysis identified serum and plasma markers of fibrosis.

Results

Researchers discovered that a decrease of at least 30% from baseline in MRI-PDFF occurred in 48% of patients given 20 mg of GS-0976, 23% of patients given 5 mg of GS-0976, and 15% given the placebo.

These results indicate that in patients with NASH, 12-week administration of 20 mg of GS-0976 decreased hepatic steatosis and selected markers of fibrosis and liver biochemistry. The relative changes from baseline in ACC levels between responders and non-responders were significantly different at week 12 in the dose group. This information was used to develop a targeted panel of 22 acylcarnitines to predict response based on a single fasting blood sample.

The Solution

The results from this Phase II study of patients with NASH showed that 12-week therapy with 20 mg of GS-0976 demonstrated significant improvements in hepatic steatosis and markers of fibrosis. Decreases of multiple plasma acylcarnitine species in patients treated with GS-0976 with a PDFF response suggest that these metabolites could be surrogate markers of enhanced mitochondrial beta-oxidation during GS-0976 treatment. This panel of metabolites holds promise for use in identifying early biomarkers of imaging response.

As a global leader in metabolomics, Metabolon uses its metabolomics technology to provide a more holistic approach due to the ability to screen for thousands of metabolites in just one biological sample. The significance of this approach is apparent in the success experienced during Gilead’s utilization of metabolomics in assessing plasma biomarkers of response for NASH.

The Outcome

The role of metabolomics is instrumental in the identification and assessment of metabolites. Metabolites have been used throughout history as a method of assessing health, aiding in the understanding of tissue function throughout the 20th century, and are used in clinical settings where metabolites provide insight into an individual’s current health.

The results from this study of NASH patients clearly demonstrate how global metabolomics can be employed to identify and develop a panel of novel biomarkers of response that could be mechanistically linked to ACC inhibition and liver fat content.

While there continues to be a need for more studies and research, it is becoming clear that integrating metabolomics into diagnostic tools may be the way of the future, helping to alleviate the more invasive methods that are used today.

Metabolon helped researchers uncover potential biomarkers for NASH:

Our client developed a patient-friendly way to show the efficacy of potential therapies for NASH, a severe form of liver inflammation which has no FDA-approved treatments. A group of 22 potential blood biomarkers was developed which could replace the need for costly imaging or invasive liver biopsies in clinical trials for this disease.

References

  1. Loomba R, Kayali Z, Noureddin M, et al. GS-0976 Reduces Hepatic Steatosis and Fibrosis Markers in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 2018;155(5):1463-1473.e6. doi:10.1053/j.gastro.2018.07.027

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.