Jun Li, MD, PhD
Assistant Professor of Medicine, Harvard Medical School
Associate Epidemiologist, Brigham and Women’s Hospital
Assistant Professor, Department of Nutrition, Harvard T.H. Chan School of Public Health
juli@bwh.harvard.edu
As an epidemiologist with medical training, I am experienced and committed to the research of diabetes and cardiovascular disease prevention, with particular interests and expertise in integrating state-of-the-art multi-omics technologies and advanced analytics under the framework of systems epidemiology, aiming to identify novel risk factors, understand disease etiology and mechanisms through which risk factors impact health, and to inform the development of personalized preventive and therapeutic strategies. In the past few years, I have been leading multiple projects in large population cohorts and interventional trials including the UK Biobank, Nurses’ Health Studies, Health Professionals Follow-up Study, the PREDIMED study, and the Hispanic Community Health Study/Study of Latinos, among others. I was awarded the Jeremiah and Rose Stamler Research Award and the Scott Grundy Award for Excellence in Metabolism Research by the American Heart Association. I am actively involved in teaching activities at the Harvard T.H. Chan School of Public Health. My current research projects include:
- integrating multi-omics data (transcriptomics, metabolomics, and metagenomics) to examine mechanisms through which diet and lifestyles affect risk of cardiovascular disease, diabetes, and cognitive decline;
- employing large-scale genetic, transcriptomic, and proteomic data to examine inflammatory pathways relevant to the development cardiovascular disease and diabetes;
- using polygenic risk prediction for complex disease to identify high-risk populations and examine effective diet/lifestyle intervention strategies for disease prevention among high genetic risk groups.
MD: Huazhong University of Science and technology
PhD: Huazhong University of Science and technology
Full Listing of Publications
- Computational Explorations of Th<sup>4+</sup> First Hydrolysis Reaction Constants: Insights from <em>Ab Initio</em> Molecular Dynamics and Density Functional Theory Calculations January 17, 2025The fundamental hydrolysis behavior of tetravalent actinide cations (An^(4+)) with a high charge is crucial for understanding their solution chemistry, particularly in nuclear fuel reprocessing and environmental behavior. Using Th^(4+) as a reference of the An^(4+) series, this work employed both the periodic model and the cluster model to calculate the first hydrolysis reaction constant […]Yang He
- Single-cell transcriptome atlas of lamprey exploring Natterin- induced white adipose tissue browning January 17, 2025Lampreys are early jawless vertebrates that are the key to understanding the evolution of vertebrates. However, the lack of cytomic studies on multiple lamprey organs has hindered progress in this field. Therefore, the present study constructed a comprehensive cell atlas comprising 604,460 cells/nuclei and 70 cell types from 14 lamprey tissue samples. Comparison of cellular […]Yue Pang
- Chronic high fat diet-induced cerebrovascular remodeling impairs recovery of blood flow after cerebral ischemia in mice January 17, 2025Obesity and associated metabolic disturbances worsen brain ischemia outcome. High fat diet (HFD)-fed mice are obese and have cerebrovascular remodeling and worsened brain ischemia outcome. We determined whether HFD-induced cerebrovascular remodeling impaired reperfusion to the ischemic penumbra. Six-week-old C57BL/6J or matrix metalloprotease-9 knockout (MMP-9^(-/-)) mice were on HFD or regular diet (RD) for 12 to […]Jun Li
- Creating chromaticity palettes and identifying white light emitters through nanocrystal megalibraries January 17, 2025Halide perovskites are used to fabricate energy-efficient optoelectronic devices. Determining which compositions yield desired chromatic responses is challenging, especially when doping strategies are used. Here, we report a way of mapping the compositional space of halide perovskites to generate a light emission or "chromaticity" palette. Megalibraries consisting of millions of Mn^(2+)-doped PEA(2)PbX(4) (PEA: phenethylammonium, X: […]Tong Cai
- Application Value of STOP-Bang Questionnaire in Predicting Abnormal Metabolites January 16, 2025CONCLUSION: OSA frequently co-occurs with various metabolic disorders. SBQ, a widely used tool for assessing the risk of OSA, may also be a potential tool for predicting the presence of metabolic diseases. A higher SBQ score indicates a heightened susceptibility to more abnormal metabolites, but SBQ is poor in predicting liver and renal functions. The […]Qingyi Pang