A Biomarker for Predicting Responsiveness to Stem Cell Therapy Based on Mechanism-of-Action: Evidence from Cerebral Injury

Autor: Dustin R. Wakeman, Nirmalya Ghosh, Amy Plaia, Nejmi Dilmac, Walter D. Niles, Richard E. Hartman, Ruslan Nuryyev, Evan Y. Snyder, Neal H. Nathan, Melissa S. Dulcich, Alena Yusof, Richard L. Sidman, Beatriz Tone, Stephen Ashwal, Janessa B Law, Cameron D. Pernia, Andre Obenaus
Rok vydání: 2020
Předmět:
Zdroj: Cell Reports. 31:107622
ISSN: 2211-1247
Popis: To date, no stem cell therapy has been directed to specific recipients-and, conversely, withheld from others-based on a clinical or molecular profile congruent with that cell's therapeutic mechanism-of-action (MOA) for that condition. We address this challenge preclinically with a prototypical scenario: human neural stem cells (hNSCs) against perinatal/neonatal cerebral hypoxic-ischemic injury (HII). We demonstrate that a clinically translatable magnetic resonance imaging (MRI) algorithm, hierarchical region splitting, provides a rigorous, expeditious, prospective, noninvasive "biomarker" for identifying subjects with lesions bearing a molecular profile indicative of responsiveness to hNSCs' neuroprotective MOA. Implanted hNSCs improve lesional, motor, and/or cognitive outcomes only when there is an MRI-measurable penumbra that can be forestalled from evolving into necrotic core; the core never improves. Unlike the core, a penumbra is characterized by a molecular profile associated with salvageability. Hence, only lesions characterized by penumbral > core volumes should be treated with cells, making such measurements arguably a regenerative medicine selection biomarker.
Databáze: OpenAIRE