ON-DEMAND WEBINAR

Metabolome-wide association of carotid intima media thickness identifies FDX1 as a determinant of cholesterol metabolism and cardiovascular risk in Asian populations

The HELIOS cohort (short for Health for Life in Singapore or sometimes referred to as HELIOS Study) is a large-scale biomedical research project based in Singapore, aimed at understanding how genetic, lifestyle, and environmental factors influence health and disease in Asian populations. The rates of cardiovascular disease in the Asia-Pacific region are increasing, despite a decline in Europe and North America. To better understand the reasons behind this, researchers studied blood samples from over 8,000 adults in Singapore. They measured hundreds of small molecules in the blood and looked at how these related to early signs of atherosclerosis.

One molecule in particular, 3beta-hydroxy-5-cholestenoate (3BH5C), which comes from cholesterol—stood out. People with higher levels of this molecule tended to have healthier arteries. The connection was especially strong in Asian individuals, suggesting that this molecule may play a bigger role in heart health for them compared to people of European background.

The researchers also discovered that a protein called FDX1 helps control the levels of this helpful molecule. In lab tests, they showed that changing the amount of FDX1 in certain cells affected how cholesterol was processed and moved out of cells in the arteries.

Overall, this study provides new insight into how metabolism affects heart disease risk in Asian populations—and points to FDX1 as a possible target for new treatments to prevent heart disease.

Abstract

The burden of cardiovascular disease (CVD) is rising in the Asia-Pacific region, in contrast to falling CVD mortality rates in Europe and North America. To provide new insights into the pathways influencing cardiovascular risk in Asian populations, we quantified 883 metabolites by untargeted mass spectroscopy in 8,124 Singaporean adults and investigated their relationships to carotid intima media thickness (cIMT), a marker of atherosclerosis. We found that plasma concentrations of 3beta-hydroxy-5-cholestenoate (3BH5C), a cholesterol metabolite, associated inversely with cIMT (Beta[SE]=-0.013[0.002]). Genetic instruments support a causal relationship of 3BH5C metabolic pathways on cardiovascular risk, with a 5-6 fold higher effect size in Asians (ORGSMR[95% CI]=0.89[0.87-0.92], ORIVW[95% CI]=0.86[0.80-0.92]) compared to Europeans (ORIVW[95% CI] = 0.98[0.96-0.99]). Colocalization analyses indicate the presence of a shared causal variant between 3BH5C plasma levels and expression of ferredoxin-1 (FDX1), a protein essential for sterol and bile acid synthesis. We validated FDX1 as a key regulator of 3BH5C synthesis in hepatocytes, and macrophages, and cholesterol efflux in aortic smooth muscle cells, through knockout and overexpression models. In summary, this study makes an important contribution to our understanding of the metabolic basis for atherosclerosis in Asian populations and identifies FDX1 as a potential therapeutic target for prevention of CVD.

Author Publications List
Key recent publications include:

Wang X*, Mina T*, Sadhu N, Jain PR, Ng HK, Low D, Tay D, Tong T, Choo W, Kerk SK, Low GL, The HELIOS Study Team, Lam B, Dalan R, Wanseicheong G, Yew YW, Leow E, Brage S, Michelotti GA, Wong KE, Sheridan PA, Low PY, Yeo ZX, Bertin N, Bellis C, Hebrard M, Goy PV, Tsilidis KK, Sanikini H, Guan XL, Lim TH, Lee L, Best JD, Lee J, Ngeow J, Riboli E, Lam M, Loh M, Chambers JC. The Health for Life in Singapore (HELIOS) Study: delivering Precision Medicine research for Asian populations (revise &resubmit, preprint on medRxiv).

Low DY, Mina T, Sadhu N, Wong K, Jain PR, Dalan R, Ng HK, Xie W, Lam B, Tay D, Wang X, Yew YW, Best J, Sarangarajan R, Elliott P, Riboli E, Lee J, Lee ES, Ngeow J, Sheridan P, Michelotti G, Loh M, Chambers J. Metabolic variation reflects dietary intake in a multi-ethnic Asian population (revise &resubmit, preprint on medRxiv).

Mina T, Xie W, Low DY, Wang X, Lam B, Sadhu N, Ng HK, Azizah N, Tong T, Kim KS, Choo WL, Low GL, Halimah I, Lim L, Wansaicheong G, Dalan R, Yew YW, Elliott P, Riboli E, Loh M, Ngeow J, Lee ES, Lee J, Best J, Chambers J. Adiposity and metabolic health in Asian populations: An epidemiological study using Dual X-Ray Absorptiometry. The Lancet Diabetes & Endocrinology, 2024.

Smith HM, Ng HK, Moodie JE, Gadd DA, McCartney DL, Bernabeu E, Campbell A, Redmond P, Taylor A, Danielle Page 3, Janie Corley 3, Sarah E Harris 3, Darwin Tay 2, Ian J Deary 3, Kathryn L Evans 1, Matthew R Robinson 4, John C Chambers JC, Loh M, Cox SR, Marioni RE, Hillary RF. Am J Hum Genet. 2025 Jan 2;112(1):106-115. DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts.

In This Webinar You Will Learn:

  • How ethnicity impacts cardiovascular disease risk
  • How metabolomics and genomics are integrated to identify atherosclerosis disease mechanisms
  • How findings from the HELIOS cohort were translated and confirmed in in vitro models
  • About Metabolomics and genomic integration

Integrating metabolomics data with genomics provides a comprehensive understanding of the biological mechanisms underlying health and disease by linking genetic variation to metabolic phenotypes. Metabolomics enhances genomic data by identifying the functional consequences of genetic variants, offering direct insight into biochemical activity that genomics alone cannot provide. This integration improves biomarker discovery, reveals novel therapeutic targets, and supports more precise and personalized approaches to medicine by uncovering gene-environment interactions that shape individual metabolic responses.

Program

Time
Presenter
Title/Abstract
5 min
Kari Wong, Ph.D.
Welcome and Introductions
10 min
John Chambers, Ph.D.
Importance of the paper and partnership
20 min
Nilanjana Sadhu, Ph.D.
Study outcomes, findings and next steps
5 min
John Chambers, Ph.D.
Wrap up
10 min
Greg Michelotti, Ph.D.
Metabolon Product
10 min
Kari Wong, Ph.D.
Questions and Answers

Guest Speakers

K
L

John Chambers, Ph.D.

Professor, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Professor Chambers is Chief Scientific Officer (CSO) of PRECISE, the central entity established to implement Phase II of Singapore’s National Precision Medicine strategy. Prof Chambers is the lead investigator of the PRECISE-SG100K population cohort study, a multi-institutional effort that aims to study the genetic makeup of 100,000 healthy Singaporeans and specific disease cohorts. The genetic data will be integrated with detailed lifestyle, environmental, and clinical data to yield rich insights into factors that contribute to Asian diseases and conditions.

John is also Distinguished Professor of Cardiovascular Epidemiology at LKCMedicine, where he leads research focused on identification of mechanisms underlying the high rate of cardiovascular disease and diabetes in Asian populations, along with clinical translation to improve prevention and control of these major diseases. He has been closely involved in large-scale prospective population studies in Europe, South Asia and Singapore. His research has contributed to the discovery of novel genetic and epigenetic pathways associated with coronary heart disease, type-2 diabetes, obesity, and related metabolic disturbances implicating new molecular pathways underlying these diseases.

As Program Lead, he aims to inspire a new generation of researchers to become future leaders, who will build innovative research programs that build on the foundational SG100K resource, and the international partnerships established.

K
L

Nilanjana Sadhu, Ph.D.

Doctor, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

LinkedIn | X | HELIOS | Featured Publication

Dr. Nilanjana Sadhu received her Ph.D. in 2020 from the University of Illinois at Chicago, USA, after which she joined the Human Genetics group at Biogen, USA. She is currently a Research Fellow at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, where she is working with Professor John C. Chambers and leading the PRECISE-SG100K Flagship Proteomics Project.
Dr. Sadhu holds a Bachelor's and Master's degree in Pharmacy from the Birla Institute of Technology and Science (BITS Pilani), India. She uses computational approaches to investigate molecular mechanisms underlying human diseases. Her work is motivated by her passion for translational research. Currently, her research focuses on leveraging and integrating genetic, metabolomic, and proteomic data to gain insights into cardiovascular and metabolic disease risk and health outcomes in Asian populations.

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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.