Our Research
I. Deciphering cellular and RNA-regulatory diversity in human metabolic diseases
Obesity and its associated complications, including insulin resistance, type 2 diabetes and metabolic dysfunction-associated steatotic liver disease (MASLD), arise from complex changes across multiple cell populations in metabolic tissues. Our previous research demonstrated that liver macrophages can regulate hepatic metabolism through non-inflammatory mechanisms during insulin resistance (Science Translational Medicine, 2020) and revealed distinct human liver macrophage subpopulations with different origins and functions (Nature Metabolism, 2023).
Building on these discoveries, our research now investigates diverse immune, stromal, vascular and metabolically active cell populations across the liver and adipose tissue, together with circulating immune cells. We integrate single-cell, spatial and multi-omics technologies with our data-driven approaches to define disease-associated cell states, intercellular communication and molecular regulatory networks. A particular focus is understanding how RNA regulation, such as alternative splicing and RNA editing, shapes cell-state transitions, metabolic stress responses and tissue remodeling during disease progression. By connecting these molecular mechanisms with clinical phenotypes, we aim to identify biomarkers and therapeutic targets for obesity-associated metabolic diseases.
II. Developing AI/ML based diagnostics for disease state prediction
Another research area in our lab is to develop non-invasive diagnostic models that precisely predict patient disease states and monitor disease progression. Our approach is data-driven, integrating longitudinal patient data, state-of-the-art omics technologies, and innovative computational methods. Currently, we are focusing on developing artificial intelligence and machine learning models specifically for conditions like non-alcoholic fatty liver disease and COVID-19.
Funding
We are deeply grateful for the support provided by the following agencies. Thank you!!