Personalized postpartum care after preeclampsia
Official title: Multi-Omics for Maternal Health after Preeclampsia
Funded at University of California, San Diego · NIH-11141862 · Data updated 2026-11-12
Researchers will combine biological tests, health records, and environmental information to find patterns that could help women who had preeclampsia stay healthier after pregnancy.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | September 12, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $760,884 |
| NIH project number | 5U01HG013189-03 |
| Project ID | NIH-11141862 on NIH RePORTER |
Who could benefit from this research
✓Could help
Women who recently experienced preeclampsia or other hypertensive disorders during pregnancy, especially those within the first year after delivery and from diverse racial and ethnic backgrounds.
✕Less likely to help
People who never had preeclampsia or whose pregnancy was many years ago may not get direct benefit from this specific project.
What this research studies
If you had preeclampsia, this project will collect blood and other biological samples, medical records, and information about your environment and symptoms after delivery. Scientists will run multiple kinds of lab tests (like genetics, proteins, and metabolites) and link those results to clinical and exposure data. They will use computer modeling and machine learning to identify different subtypes of preeclampsia and see which ones raise the risk of future heart problems. The aim is to create more personalized follow-up care to prevent postpartum complications, especially cardiovascular disease.
Why it matters
Potential benefit: Could enable more tailored postpartum monitoring and earlier prevention of heart disease for women who had preeclampsia.
How similar studies have gone: Previous studies have linked preeclampsia to later heart disease, but applying multi-omics and machine learning to define subtypes and guide care is a newer approach still being tested.
Where this research is happening
-
University of California, San Diego
La Jolla, United States Active
Researchers
- Principal investigator: Laurent, Louise Chang — University of California, San Diego
- Study coordinator: Laurent, Louise Chang
Related research
Other NIH-funded projects on the same topics.
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Multi-Omics study to improve postpartum health after preeclampsia
A multi-omics study at a major medical center aims to understand why some women who had preeclampsia have better or worse health outcomes after delivery, so doctors can tailor care.
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This grant studies how bias and barriers in the healthcare system affect pregnancy and postpartum outcomes for women with intellectual and developmental disabilities who are on Medicaid and their babies.
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Ethical, multimodal AI for predicting preeclampsia risk in early pregnancy
A data-driven AI tool uses early-pregnancy information from medical records, ultrasound, and notes to predict preeclampsia risk and support safer pregnancy care.
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Placental support cells and fetal red blood cell quality in preeclampsia
This grant studies how placental support cells in preeclampsia affect the development and quality of a baby’s red blood cells.
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Epigenetic clues to preeclampsia in pregnancy
This grant explores how epigenetic changes and paternal factors may contribute to preeclampsia, a condition that can affect pregnancy health.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.