University of California San Francisco
Pregnant and using an automated insulin delivery system?
Consider enrolling in the COSCLIP Study!
NOW OPEN TO ENROLLMENT!
The Commercial or Open Source Closed Loop Impact on Pregnancy (COSCLIP) Study is a nationwide study of pregnant people with type 1 diabetes (T1D) who use automated insulin delivery systems (also known as closed loops) for diabetes management in pregnancy. This study is being done to help patients and healthcare providers better understand how commercial AID systems and open-source AID systems affect clinical, glycemic, and behavioral outcomes when used in pregnancy.
The main questions this study aims to answer are:
- What are the maternal and neonatal outcomes with AID system use in pregnancy?
- What are the glycemic outcomes with AID system use in pregnancy?
- What are the behavioral and emotional outcomes with AID system use in pregnancy?
Researchers will compare pregnant people who use commercial AID systems and pregnant people who use open source AID systems to see if outcomes are different with these different types of systems.
Participants will be asked to remotely share their AID system data with the research team; complete online surveys regarding behavioral and emotional health; and sign an authorization to release health information to allow the research team to access medical records.
Understanding Nutrition, Improving Metabolic Health
We are dedicated to advancing the science of nutrition and metabolism through research that addresses real-world health challenges. By generating and translating evidence, we seek to inform nutrition strategies that promote better health across individuals and populations.
“Being part of this lab has given me the opportunity to explore meaningful research questions while learning how science can translate into better nutrition strategies and health outcomes.”
Publications
Samstein, R.M., Lee, CH., Shoushtari, A.N. et al. Macronutrient Composition and Its Impact on Hepatic Lipid Metabolism in Humans. Nat Genet 51, 202–206 (2019). https://doi.org/10.1038/s41588-018-0312-8
Aracena, K.A., Lin, YL., Luo, K. et al. Epigenetic Signatures of Early-Life Nutrition and Long-Term Metabolic Risk. Nat Genet 56, 408–419 (2024). https://doi.org/10.1038/s41588-024-01668-z
Ma, PF., Liu, YL., Guo, C. et al. Dietary Fiber Fermentation Profiles and Their Association With Energy Harvest Efficiency. Nat Genet (2024). https://doi.org/10.1038/s41588-024-01683-0
