The Center for Lipid Metabolomics is a multidisciplinary translational center with national and international collaborations leveraging high-throughput omic profiling applications towards improved understanding of risk of cardiometabolic diseases and risk reduction strategies.
Research Projects
Multi-Omics Biomarker Discovery Studies
- Demler, O., Liu, Y., Watrous, J., Gibson, H., Lagerborg, K., Dashti, H., Heath, M., Camargo, C.A., Harris, W.S., Wohlgemuth, J.G. and Najhawan, M., 2019. Effects of Marine Omega-3 Supplementation on Fatty Acids and Bioactive Lipids and Associations With Risk of Cardiovascular Disease: Secondary Analysis From the Randomized Vitamin D and Omega-3 Trial (VITAL). Circulation, 140(Suppl_1), pp.A13189-A13189.
- Antonelli J, Claggett BL, Henglin M, Kim A, Ovsak G, Kim N, Deng K, Rao K, Tyagi O, Watrous JD, Lagerborg KA, Hushcha PV, Demler OV, Mora S, Niiranen TJ, Pereira AC, Jain M, Cheng S. Statistical Workflow for Feature Selection in Human Metabolomics Data. Metabolites. 2019 Jul 12;9(7). doi: 10.3390/metabo9070143. Review. PubMed PMID: 31336989; PubMed Central PMCID: PMC6680705.
Lipid Profiles and Development of Cardiovascular Disease and Type 2 Diabetes
- Khera AV, Demler OV, Adelman SJ, Collins HL, Glynn RJ, Ridker PM, Rader DJ, Mora S. Cholesterol Efflux Capacity, High-Density Lipoprotein Particle Number, and Incident Cardiovascular Events: An Analysis From the JUPITER Trial (Justification for the Use of Statins in Prevention: An Intervention Trial Evaluating Rosuvastatin). Circulation. 2017 Jun 20;135(25):2494-2504. doi: 10.1161/CIRCULATIONAHA.116.025678. Epub 2017 Apr 27. PubMed PMID: 28450350; PubMed Central PMCID: PMC5490983.
- Harada PHN, Demler OV, Dugani SB, Akinkuolie AO, Moorthy MV, Ridker PM, Cook NR, Pradhan AD, Mora S. Lipoprotein insulin resistance score and risk of incident diabetes during extended follow-up of 20 years: The Women’s Health Study. J Clin Lipidol. 2017 Sep – Oct;11(5):1257-1267.e2. doi: 10.1016/j.jacl.2017.06.008. Epub 2017 Jun 21. PubMed PMID: 28733174; PubMed Central PMCID: PMC5644504.
- Ajala, O.N., Demler, O., Farukhi, Z., Liu, Y., Adelman, S., Collins, H., Glynn, R., Ridker, P., Khera, A., Rader, D. and Mora, S., 2018. Anti-Inflammatory HDL Function and Incident Cardiovascular/Death Events: A Secondary Analysis of the JUPITER Trial. Circulation, 138(Suppl_1), pp.A13310-A13310.
Machine Learning in Cardiovascular Health
We are working on using advanced computational tools for more accurate prediction and prevention of cardiovascular disease.
- Hesam Dashti, Yanyan Liu, Robert J. Glynn, Paul M Ridker, Olga V. Demler, Samia Mora, CVD Risk Prediction Using Machine Learning Approaches, AHA EPI 2020
Cheminformatics
Small molecules (e.g., metabolites, carbohydrates, etc.) have been routinely investigated for identifying new biomarkers of cardiovascular disease. We are utilizing advanced computational methods for the characterization of these chemical compounds
- Hesam Dashti, William Westler, Jonathan Wedell, Olga Demler, Hamid Eghbalnia, John Markley, Samia Mora, Using machine learning methods for parameterization of NMR spin system matrices of small molecules, Metabolomics Association of North America, Atlanta, GA, 2019
- Hesam Dashti, Jonathan R. Wedell, William M. Westler, Hamid R. Eghbalnia, John L. Markley, and Samia Mora, Probabilistic identification of carbohydrate fragments in small molecules, 13th Jenner Glycobiology and Medicine Symposium, Boston, 2019
- Hesam Dashti , Jonathan R. Wedell , William M. Westler , John L. Markley, Hamid R. Eghbalnia, Automated evaluation of consistency within the PubChem Compound database, Scientific Data volume 6, Article number: 190023 (2019), doi:10.1038/sdata.2019.23, https://www.nature.com/articles/sdata201923