Screening for regenerative therapy responders in heart failure

Author:

Yamada Satsuki12ORCID,Jeon Ryounghoon1ORCID,Garmany Armin13ORCID,Behfar Atta14ORCID,Terzic Andre15ORCID

Affiliation:

1. Department of Cardiovascular Medicine, Mayo Clinic, Center for Regenerative Medicine, Marriott Heart Disease Research Program, Van Cleve Cardiac Regenerative Medicine Program, Rochester, MN 55905, USA

2. Department of Medicine, Division of Geriatric Medicine & Gerontology, Mayo Clinic, Rochester, MN 55905, USA

3. Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic Alix School of Medicine, Regenerative Sciences Track, Rochester, MN 55905, USA

4. Department of Physiology & Biomedical Engineering, Mayo Clinic, Rochester, MN 55905, USA

5. Department of Molecular Pharmacology & Experimental Therapeutics, Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA

Abstract

Risk of outcome variability challenges therapeutic innovation. Selection of the most suitable candidates is predicated on reliable response indicators. Especially for emergent regenerative biotherapies, determinants separating success from failure in achieving disease rescue remain largely unknown. Accordingly, (pre)clinical development programs have placed increased emphasis on the multi-dimensional decoding of repair capacity and disease resolution, attributes defining responsiveness. To attain regenerative goals for each individual, phenotype-based patient selection is poised for an upgrade guided by new insights into disease biology, translated into refined surveillance of response regulators and deep learning-amplified clinical decision support.

Funder

National Institutes of Health

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

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