Machine Learning Identifies Distinct Treg-Mediated Remodeling in HFpEF Hearts Treated with Neonatal Mesenchymal Stem Cells and Their Secretome
nMSC and SEC therapies improve diastolic function in HFpEF through distinct remodeling mechanisms converging on T <sub>reg</sub> -mediated immune modulation. VIPcell supported identification of causal regulators, highlighting T <sub>reg</sub> -related signaling as a key driver of myocardial recovery in HFpEF. These findings offer mechanistic insight into cellular therapies for HFpEF and support the development of targeted, T <sub>reg</sub> -focused interventions.
Authors
- Progyaparamita Saha
- Edward B. Thorp (ORCID: https://orcid.org/0000-0003-1387-7058)
- Felipe Takaesu (ORCID: https://orcid.org/0000-0002-5569-8907)
- Luna Ventura
- Rachana Mishra
- Anshuman Sinha
- Jonghyeuk Han
- Ching Man Wai
- Sunjay Kaushal
- Ning-Yi Shao
- Zhi-Dong Ge
- Sudhish Sharma
- Mallory Filipp
- Akash Puvvala
- Xuebin Fu
- Ling Chen
Institutions
- Northwestern University (US)
- University of Maryland, Baltimore (US)
- University of Nevada, Las Vegas (US)
- Emory University (US)
- University of Macau (MO)
- The Wallace H. Coulter Department of Biomedical Engineering (US)
- Stony Brook School (US)
- Northwestern Memorial Hospital (US)
- Lurie Children's Hospital (US)
- Children's Healthcare of Atlanta (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-01-30
- DOI
- https://doi.org/10.64898/2026.01.29.702616
- Primary Topic
- Congenital heart defects research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Additional Ventures
- National Institutes of Health