# A New Framework for Understanding the Mechanisms of Diastolic Dysfunction

> **NIH NIH R01** · PALO ALTO VETERANS INSTIT FOR RESEARCH · 2020 · $476,279

## Abstract

PROJECT SUMMARY
Heart failure is a clinical syndrome marked by breathlessness, even at low levels of exertion, general fatigue,
and fluid retention that is estimated to affect 5.1 million people in the United States. Heart failure with
preserved ejection fraction (HFpEF) – wherein the heart adequately pumps blood to the body, but patients still
have terrible symptoms – is estimated to account for 50% of all heart failure cases. HFpEF is a vexing clinical
problem for which diagnostic and prognostic evaluation remains elusive. Experts agree that impaired filling
critically underlies HFpEF, which can be attributed to an increase in diastolic myocardial stiffness. Currently,
however, no clinical technique exists for measuring left ventricular diastolic myocardial stiffness. In fact, the
very definition of “myocardial stiffness” remains poorly established. Consequently, the ability to study the
mechanisms that underlie HFpEF is virtually non-existent and limited therapeutic options will persist without
significant advances. The objective of this project is to use an Equilibrium-Material-Stability (EMS) framework
that couples patient-specific clinical MRI and LV pressure data in a computational model of the heart to
diagnose changes in diastolic myocardial stiffness. The central hypothesis is that the new EMS framework for
understanding the mechanisms of diastolic dysfunction in HFpEF will be more sensitive and outperform
currently available approaches. The following specific aims outline our approach:
AIM #1 – Refine advanced free-breathing MRI methods needed to measure diastolic myocardial stiffness. To
accurately estimate regional diastolic myocardial stiffness coefficients our EMS framework incorporates high
resolution anatomy, strain data, LV pressure, and our recent work establishing that myofiber orientation maps
can be measured in vivo using cardiac diffusion tensor MRI (cDTI).
AIM #2 – Validate our in vivo diastolic myocardial stiffness evaluation framework in humans. Our work will
establish an acceptable clinical method for measuring global and regional diastolic myocardial stiffness that
overcomes limitations associated with using pressure-volume loops.
AIM #3 – Measure changes in diastolic myocardial stiffness in a longitudinal study of patients with HFpEF. This
will establish the diagnostic sensitivity of the EMS framework with comparison to cardiac MRI biomarkers of
increased stiffness, thereby providing mechanistic insight to one critical underlying cause of HFpEF.

## Key facts

- **NIH application ID:** 10003383
- **Project number:** 5R01HL131823-04
- **Recipient organization:** PALO ALTO VETERANS INSTIT FOR RESEARCH
- **Principal Investigator:** Daniel B Ennis
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $476,279
- **Award type:** 5
- **Project period:** 2018-09-01 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10003383

## Citation

> US National Institutes of Health, RePORTER application 10003383, A New Framework for Understanding the Mechanisms of Diastolic Dysfunction (5R01HL131823-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10003383. Licensed CC0.

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