TY - JOUR
T1 - Clinical Phenotypes of Heart Failure With Preserved Ejection Fraction to Select Preclinical Animal Models
AU - van Ham, Willem B
AU - Kessler, Elise L
AU - Oerlemans, Marish I F J
AU - Handoko, M Louis
AU - Sluijter, Joost P G
AU - van Veen, Toon A B
AU - den Ruijter, Hester M
AU - de Jager, Saskia C A
N1 - Funding Information:
This work was supported by Netherlands Cardiovascular Research Initiative, with the support of the Dutch Heart Foundation, the Netherlands (CVON2018-30 PREDICT2 to Drs van Ham and van Veen, Senior Clinical Scientist grant 2020T058 to Dr Handoko; EARLY-HFpEF Young Talent Grant 2015-10 to Dr Kessler, RECONNEXT 2020B008 and IMPRESS 2020B004 to Drs Kessler, Handoko, den Ruijter, and de Jager). The authors have reported that they have no relationships relevant to the contents of this paper to disclose.
Publisher Copyright:
© 2022 The Authors
PY - 2022/8
Y1 - 2022/8
N2 - At least one-half of the growing heart failure population consists of heart failure with preserved ejection fraction (HFpEF). The limited therapeutic options, the complexity of the syndrome, and many related comorbidities emphasize the need for adequate experimental animal models to study the etiology of HFpEF, as well as its comorbidities and pathophysiological changes. The strengths and weaknesses of available animal models have been reviewed extensively with the general consensus that a "1-size-fits-all" model does not exist, because no uniform HFpEF patient exists. In fact, HFpEF patients have been categorized into HFpEF phenogroups based on comorbidities and symptoms. In this review, we therefore study which animal model is best suited to study the different phenogroups-to improve model selection and refinement of animal research. Based on the published data, we extrapolated human HFpEF phenogroups into 3 animal phenogroups (containing small and large animals) based on reports and definitions of the authors: animal models with high (cardiac) age (phenogroup aging); animal models focusing on hypertension and kidney dysfunction (phenogroup hypertension/kidney failure); and models with hypertension, obesity, and type 2 diabetes mellitus (phenogroup cardiometabolic syndrome). We subsequently evaluated characteristics of HFpEF, such as left ventricular diastolic dysfunction parameters, systemic inflammation, cardiac fibrosis, and sex-specificity in the different models. Finally, we scored these parameters concluded how to best apply these models. Based on our findings, we propose an easy-to-use classification for future animal research based on clinical phenogroups of interest.
AB - At least one-half of the growing heart failure population consists of heart failure with preserved ejection fraction (HFpEF). The limited therapeutic options, the complexity of the syndrome, and many related comorbidities emphasize the need for adequate experimental animal models to study the etiology of HFpEF, as well as its comorbidities and pathophysiological changes. The strengths and weaknesses of available animal models have been reviewed extensively with the general consensus that a "1-size-fits-all" model does not exist, because no uniform HFpEF patient exists. In fact, HFpEF patients have been categorized into HFpEF phenogroups based on comorbidities and symptoms. In this review, we therefore study which animal model is best suited to study the different phenogroups-to improve model selection and refinement of animal research. Based on the published data, we extrapolated human HFpEF phenogroups into 3 animal phenogroups (containing small and large animals) based on reports and definitions of the authors: animal models with high (cardiac) age (phenogroup aging); animal models focusing on hypertension and kidney dysfunction (phenogroup hypertension/kidney failure); and models with hypertension, obesity, and type 2 diabetes mellitus (phenogroup cardiometabolic syndrome). We subsequently evaluated characteristics of HFpEF, such as left ventricular diastolic dysfunction parameters, systemic inflammation, cardiac fibrosis, and sex-specificity in the different models. Finally, we scored these parameters concluded how to best apply these models. Based on our findings, we propose an easy-to-use classification for future animal research based on clinical phenogroups of interest.
KW - HFpEF
KW - LVDD
KW - animal models
KW - heart failure with preserved ejection fraction
KW - left ventricular diastolic dysfunction
KW - phenogroups
UR - http://www.scopus.com/inward/record.url?scp=85132715961&partnerID=8YFLogxK
U2 - 10.1016/j.jacbts.2021.12.009
DO - 10.1016/j.jacbts.2021.12.009
M3 - Review article
C2 - 36061340
SN - 2452-302X
VL - 7
SP - 844
EP - 857
JO - JACC: Basic to Translational Science
JF - JACC: Basic to Translational Science
IS - 8
ER -