Literature DB >> 31312763

Western Diet-Fed, Aortic-Banded Ossabaw Swine: A Preclinical Model of Cardio-Metabolic Heart Failure.

T Dylan Olver1, Jenna C Edwards1, Thomas J Jurrissen2, Adam B Veteto3, John L Jones3, Chen Gao4, Christoph Rau4, Chad M Warren5, Paula J Klutho6, Linda Alex6, Stephanie C Ferreira-Nichols6, Jan R Ivey1, Pamela K Thorne1, Kerry S McDonald3, Maike Krenz3,6, Christopher P Baines1,3,6, R John Solaro5, Yibin Wang4, David A Ford7, Timothy L Domeier3, Jaume Padilla2,6,8, R Scott Rector2,9,10, Craig A Emter1.   

Abstract

The development of new treatments for heart failure lack animal models that encompass the increasingly heterogeneous disease profile of this patient population. This report provides evidence supporting the hypothesis that Western Diet-fed, aortic-banded Ossabaw swine display an integrated physiological, morphological, and genetic phenotype evocative of cardio-metabolic heart failure. This new preclinical animal model displays a distinctive constellation of findings that are conceivably useful to extending the understanding of how pre-existing cardio-metabolic syndrome can contribute to developing HF.

Entities:  

Keywords:  AB, aortic-banded; CON, control; EDPVR, end-diastolic pressure−volume relationship; EF, ejection fraction; HF, heart failure; HFpEF, heart failure with preserved ejection fraction; HFrEF, heart failure with reduced ejection fraction; IL1RL1, interleukin 1 receptor-like 1; LV, left ventricle; NF, nuclear factor; PTX3, pentraxin-3; WD, Western Diet; cardio-metabolic disease; heart failure; integrative pathophysiology; preclinical model of cardiovascular disease

Year:  2019        PMID: 31312763      PMCID: PMC6610000          DOI: 10.1016/j.jacbts.2019.02.004

Source DB:  PubMed          Journal:  JACC Basic Transl Sci        ISSN: 2452-302X


Heart failure (HF) is currently among the most challenging issues facing the treatment of cardiovascular disease. Of the approximately 6 million patients with HF in the United States, there is an approximately equal diagnosis of HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF) 1, 2, 3, 4, 5. The disease profile of HF patients is becoming more heterogeneous, often displaying various combinations of numerous comorbidities, including obesity, metabolic syndrome, diabetes, and hypertension. Although the prevalence of HF is expected to increase during the next 15 years, traditional treatments for HF have remained largely unchanged over the last 20 years. Furthermore, HFpEF patients are largely unresponsive to standardized therapeutic approaches proven effective for HFrEF 1, 2, 6, 7, 8, 9. Thus, new therapeutic targets for HF patients are desperately needed. The development of effective treatments for HF patients may be limited by a lack of translational animal models that encompass the wide ranging pathology of an ever-increasing population of HF patients with pre-existing cardio-metabolic syndrome. Recently, attention has focused on the role of increased systemic inflammation that results from common risk factors for developing HF. This has prompted discussion regarding the need to develop preclinical animal models that include comorbidities in parallel with a HF phenotype. A number of syndromes may predispose patients to HF, including metabolic disease (e.g., obesity, insulin resistance), hypertension, renal disease, and coronary artery disease. Impairment in multiple organ systems, including both central (cardiac morphology, coronary vasculature, both systolic and diastolic function, cardiac reserve) and peripheral (pulmonary, renal, hepatic, immune, skeletal muscle, cerebral, and associated vascular beds) components, has been highlighted as a critical risk factor predisposing patients to HF. Comprehensive characterization of animal models of experimental HF that include multisystem contributions to the overall pathology are therefore critical to advancing the understanding of a growing population of HF patients with multiple pre-existing comorbidities. A number of previous reports from our laboratory (and others) showed that Ossabaw swine, a unique translational large animal model genetically predisposed to obesity and metabolic derangement, do not develop HF from dietary intervention alone 10, 11, 12, 13, 14, 15, 16, 17. Furthermore, our laboratory previously published numerous studies that examined the impact of aortic banding alone (in the absence of comorbidities) on developing disease in a separate preclinical swine model of HF 18, 19, 20, 21, 22, 23, 24, 25, 26, 27. Thus, the primary goal of this study was to develop a swine model of experimental cardio-metabolic HF. Specifically, our aim was to determine whether the combination of dietary and pressure-overload interventions would produce a cardio-metabolic HF phenotype. We hypothesized Western Diet (WD)−fed Ossabaw swine subject to chronic cardiac pressure overload by aortic banding would display physiological, morphological, and genetic phenotypes relevant to patients with pre-existing metabolic derangement who are at risk of developing HF. We provide detailed integrated analyses that demonstrate the potential relevance of this preclinical swine model for cardio-metabolic HF 28, 29.

Methods

Experimental design

Two-month-old, intact female Ossabaw swine (15 to 20 kg, Ossabaw pigs were generously provided by: 1) Michael Sturek, PhD, in the Ossabaw Swine Resource, Comparative Medicine Program at Purdue University and Indiana University School of Medicine; and 2) Randall Prather, PhD, and Eric M. Walters, PhD, in the National Swine Resource and Research Center at the University of Missouri- Columbia), were assigned into 2 groups: nonsham sedentary control (CON) (n = 5) and WD-fed aortic-banded (WD-AB) with HF (n = 7). Two animals were lost in the WD-AB group as a result of not surviving the aortic banding surgery at 6 months of age; both animals weighed >50 kg at the time of surgery. We believe this issue can be remedied through weight control in the initial phases of obesity development, given all WD-AB animals in the current study under this specific weight threshold survived without surgical complications following thoracotomy. A third animal was lost to sudden cardiac death 1 week before terminal experiments were scheduled in the WD-AB group. Necrospy of this animal revealed complications due to renal infarction, pulmonary and hepatic congestion, and a systemic inflammatory process. Ultimately, outcome measures in the WD-AB group were assessed in 4 to 5 animals. The CON group ingested a standard chow diet (5L80, Lab Diet; 3.03 kcal/g−1; carbohydrate: 71%; protein: 18.5%, and fat: 10.5%; 500 g/day), whereas the WD-AB group was fed a WD (1,000 g/day) high in fat, high-fructose corn syrup, and cholesterol (5B4L, Laboratory Diet; 4.14 kcal/g−1; carbohydrate: 40.8% [17.8% of total calories from high-fructose corn syrup]; protein: 16.2%; fat: 43%, 2% cholesterol wt/wt) as previously reported 13, 14, 15, 16, 17. At 6 months of age, aortic banding was used to induce HF as previously described 19, 20, 21, 22, 23, 25, 26, 27. A trans-stenotic systolic gradient of approximately 70 mm Hg (72 ± 2 mm Hg) was achieved under anesthesia using phenylephrine (intravenously 1 to 3 μg/kg/min) to maintain a distal peripheral vascular mean aortic pressure of approximately 90 mm Hg (87 ± 2 mm Hg) at a heart rate of 85 beats/min (84 ± 3 beats/min). In total, Ossabaw swine in the WD-AB group were subjected to 10 months of WD and 6 months of chronic cardiac pressure overload. Body surface area was calculated as previously published for swine 30, 31. Animals were fed once per day, and water was provided ad libitum. All animal protocols were in accordance with the Principles for the Utilization and Care of Vertebrate Animals Used in Testing Research and Training and approved by the University of Missouri Animal Care and Use Committee.

Statistical analysis

Data analyses were performed using SPSS (version 19.0, IBM, Armonk, New York) or SigmaStat (version 3.5, Systat Software, San Diego, California). Linear regression was used to examine the relationship between inflammatory biomarkers and diastolic function. Group comparisons were made using a Student’s t-test (32). Group comparisons for in vitro vascular function and serial ultrasound morphological experiments were made using a repeated-measures analysis of variance (group × dose and group × time, respectively). Group differences revealed by analysis of variance were found using Student Newman-Keuls post hoc analysis. Interobserver variability for ultrasound measures was evaluated using the intraclass correlation coefficient in a 2-way random model (<0.40: poor agreement; 0.40 to 0.75: good agreement; >0.75: excellent agreement) (33). Power analyses were conducted to determine the appropriate number of pigs to detect differences between groups as recommended by Kim and Seo (34) using the Sealed Envelope Power Calculator (https://www.sealedenvelope.com/power/continuous-superiority). For input, we used published end-diastolic pressure−volume relationship (EDPVR) data reported in 6 CON and 7 AB pigs (20) because of the well-established development of diastolic dysfunction in patients with metabolic syndrome and the reputation of EDPVR as a gold standard for measuring diastolic function. Significance level was set to 5%, power to 80%, mean outcome in control group = 0.011, mean outcome in experimental group = 0.021, and standard deviation = 0.004 (20). This power analysis indicated 4 swine per group would be sufficient. All data are presented as means ± SE, and significance was reported at p < 0.10 and p < 0.05 levels 35, 36. See Supplemental Material for a comprehensive account of all Methods utilized in the current study (Supplemental Tables 1 to 3, Supplemental Figures 1 to 8, and Supplemental References).

Results

Cardiac remodeling and function

Tables 1, 2, and 3 and Figures 1, 2, 3, and 4 provide evidence supporting functional, structural, and genetic characteristics consistent with HF in the WD-AB group using echocardiographic, pressure−volume, post-mortem morphology, and RNA-seq techniques. Considering 1 independent variable was diet, tibia length was examined to determine if normalization of the morphometric data was necessary 37, 38. Tibia length was the same between groups, indicating that differences in body weight and body surface area between groups were observed in animals with similar age-related growth (Table 1). Because there were no significant differences in tibia length, absolute heart and lung weights were used for group morphological analyses (39). WD-AB animals displayed increased lung weight compared with the CON group, with no differences in resting ejection fraction (EF) (Table 1). Significant concentric left ventricular (LV) hypertrophy was present in WD-AB animals, as indicated by an increase in global hypertrophy (LV, right ventricle, and atria) (Table 1) and increased LV diastolic wall thickness 2 and 6 months post-aortic banding that was dependent on the group at 8 and 12 months of age, respectively (Table 2) (group × time interaction; representative ultrasound images are shown in Supplemental Figures 1A and 1B). There were no differences in LV internal diastolic dimension or end-diastolic volume between groups (Tables 1 and 2). Analysis of aortic hemodynamics (proximal to the AB in the WD-AB group) (Supplemental Table 1) indicated WD-AB animals faced a greater afterload compared with CON animals, which was evident 6 months post-aortic banding as significant increases in both aortic systolic blood pressure and pulse pressure.
Table 1

Postmortem Analysis of Heart and Lung Morphology, and Pressure−Volume Assessment of Resting Systolic and Diastolic LV Function

Gross MorphologyCON (n = 5)WD-AB (n = 5)t-Test (p Value)
Body surface area (m2)1.10 ± 0.011.51 ± 0.04<0.0001
Tibia length (cm)16.6 ± 0.216.6 ± 0.10.93
Lung weight (g)236 ± 11294 ± 120.01
Heart weight (g)157 ± 4229 ± 6<0.0001
LV+S weight (g)107 ± 2150 ± 4<0.0001
RV weight (g)28 ± 246 ± 2<0.001
Atria weight (g)21 ± 233 ± 1<0.001

LV Function: Pressure–Volume and EchocardiographyCON (n = 4 to 5)WD-AB (n = 4 to 5)t-Test (p Value)

Systolic function
 HR (beats/min)94 ± 1780 ± 80.49
 LVESV (ml)48 ± 633 ± 90.21
 LVESP (mm Hg)94 ± 12102 ± 60.54
 LVEF (%)52 ± 363 ± 50.12
 LV SV (ml)50 ± 251 ± 50.83
 LV SVI (ml/m2)46 ± 134 ± 4§<0.05
 ESPVR (mm Hg/ml)11 ± 523 ± 70.21
 PRSW (mm Hg)65 ± 1091 ± 80.09
Diastolic function
 LVEDV (ml)98 ± 684 ± 120.34
 LVEDP (mm Hg)10 ± 18 ± 20.22
 EDPVR (mm Hg/ml)0.015 ± 0.0030.040 ± 0.010§<0.05
 LV untwisting: apical early diastolic rotation rate (°/s)112 ± 694 ± 4§<0.05
 LV global longitudinal late diastolic strain rate (1/s)1.1 ± 0.11.8 ± 0.1<0.0001

Values are mean ± SE.

Atria = right + left atria; EDPVR = end-diastolic pressure−volume relationship; ESPVR = end-systolic pressure−volume relationship; HR = heart rate; LV = left ventricular; LVEDP = LV end-diastolic pressure; LVEDV = LV end-diastolic volume; LVEF = LV ejection fraction; LVESP = LV end-systolic pressure; LVESV = LV end-systolic volume; LV+S = LV + septum; LV SV = LV stroke volume; LV SVI = LV stroke volume index; PRSW = preload recruitable stroke work; RV = right ventricle; WD-AB = Western diet, aortic banded.

p < 0.0001.

p < 0.01.

p < 0.001.

p < 0.05; for significantly different versus control (CON).

Table 2

Serial Echocardiographic Assessment of LV Morphology

CON (n = 5)
WD-AB (n = 5)
RM ANOVA
Age 6 monthsAge 8 monthsAge 12 monthsPre-AB Age 6 monthsPost-AB Age 8 monthsPost-AB Age 12 months
Body weight (kg)31 ± 236 ± 246 ± 1†††45 ± 2***56 ± 3***†††76 ± 3***†††ME group##
LVIDd (mm)40 ± 141 ± 145 ± 137 ± 142 ± 146 ± 2††ME time##
LVIDs (mm)24 ± 125 ± 126 ± 123 ± 121 ± 123 ± 2p = 0.33
LV WTd (mm)6.2 ± 0.56.4 ± 0.25.7 ± 0.36.6 ± 0.29.8 ± 0.3***††9.7 ± 0.5***††Interaction
LV WTs (mm)10.0 ± 0.511.0 ± 0.311.3 ± 0.411.8 ± 0.3**14.8 ± 0.3***††16.1 ± 0.4***††Interaction§

Values are mean ± SE.

Statistics: Post hoc versus CON at the same time point (**p < 0.01; ***p < 0.001); main effect (ME) (##p < 0.0001); interaction effect = group × time (§ p <0.01, ‡p < 0.001); †post hoc within same group versus 6-month time point (†p < 0.01; †† p < 0.001; p < 0.0001).

LVIDd = left ventricular internal diastolic dimension; LVIDs = left ventricular internal systolic dimension; LV WTd = left ventricular diastolic wall thickness; LV WTs = left ventricular systolic wall thickness; RM ANOVA, repeated measure analysis of variance.

Table 3

Ingenuity Pathway and Gene Ontology Analyses of Induced Heart Failure-Related Gene Pathways Expressed between CON and WD-AB Left Ventricle

Ingenuity Pathway Analysis, Top Toxicology Lists
Namep Value
Cardiac hypertrophy<0.0001
Increases renal damage<0.0001
Renal necrosis/cell death<0.0001
Cardiac fibrosis<0.0001
Liver proliferation<0.0001

NameMatched Gene Symbolsp Value

Gene ontology, signaling pathways: heart failure
Cardiomyocyte differentiation through BMP receptorsMYH7, MYH7B, NPPA, NPPB, BMP4, BMP5<0.0001
Hypertrophy modelEIF4E, IL1R1, IFRD1, ATF3, VEGFA<0.001
Gene ontology, function-based analysis phenotype: heart failure
Cardiac fibrosisACKR3, AHR, HEY2, PPARA, HOPX, PTGS2, THBS4, CSRP3, MAPK8, PDL<0.001
Gene ontology, diseases: heart failure
Myocardial infarctionABCA1, ALDH2, CCL2, CIITA, F13A1, HMGCR, LDLR, NPPA, NPPB, PLAT, PROCR, PTGS2, SELP, THBS4, TLR4, TNNT1, VEGFA<0.0001
Dilated cardiomyopathyADRA2C, ANKRD2, CCL2, CSRP3, KCNIP2, LAMA2, MYH7, NPPA, NPPB, PDLIM3, PGM1, SUN2, TNNI1, TNNT1, VCAM1<0.0001
Pulmonary fibrosisCCL2, CD24, CTGF, CXCL8, MMP11, RGS1, SLN, UBD, VCAM1<0.01
Left ventricular noncompactionCSRP3, MYH7, MYH7B, PRDM16, YWHAE<0.01
Pulmonary hypertensionADORA3, BMP4, NPPA, NPPB, PDE4A, PLAT, VEGFA<0.01
Heart diseaseC3, HMGCR, MYH7, NPPA, NPPB, PPARA<0.05
Atrial fibrillationNPPA, NPPB, PLAT, SCN3B, SELP<0.05
Hypertrophic cardiomyopathyCSRP3, MYH7, NPPB, TNNT1<0.05

BMP = bone morphogenic protein; other abbreviations as in Table 1.

Figure 1

Representative P-V Loops

Representative pressure−volume (P-V) loops at rest from individual control (CON) and Western diet, aortic-banded (WD-AB) animals. EDPVR = end-diastolic P-V relationship; ESPVR = end-systolic P-V relationship.

Figure 2

Ossabaw Swine Fed A WD With Chronic Pressure Overload-Induced HF Show Impaired Individual Cardiomyocyte Function

(A) Systolic cardiomyocyte calcium and (C) shortening kinetics are faster under baseline pacing conditions in the WD-AB group, but (B and D) lack β-adrenergic reserve in response to dobutamine. (E and F) Diastolic calcium reuptake (tau) and (G and H) relaxation rate kinetic reserve following exposure to dobutamine is impaired in WD-AB cardiomyocytes. (I) Representative cardiomyocyte images show (J) cardiomyocyte t-tubule disorganization in WD-AB animals. (K) Representative line scans illustrate spontaneous ryanodine receptor-mediated calcium (L) spark frequency and (M) amplitude were increased in the WD-AB group. *t-test versus CON (*p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001). n = 4 animals, 25 to 27 cells in the CON group; n = 4 animals, 23 to 25 cells in the WD-AB group. ANOVA = analysis of variance; HF = heart failure; other abbreviations as in Figure 1.

Figure 3

Isolated Mitochondrial Function Is Compromised in Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF and Associated With Decreased L4CL

(A) Mitochondrial dysfunction evident as impaired complex 1 and 2-dependent respiration and functional uncoupling of the respiratory chain and adenosine triphosphate synthesis. (B to E) Susceptibility to calcium (Ca2+)-induced mitochondrial permeability transition (an early indicator of mitochondrial dysfunction) was increased in the WD-AB group. (B and C) Quantification of the area above the curve of the Ca2+-induced swelling traces was increased in WD-AB animals. (D and E) Conversely, Ca2+-retention capacity was decreased in the WD-AB group. (F to H) The composition of (G) tetralinoleoyl cardiolipin (L4CL) to (F) total cardiolipin levels was (H) decreased in WD-AB animals. *t-test versus CON (*p < 0.05; ** p < 0.01). n = 4 for CON and WD-AB groups. ADP = adenosine diphosphate; MG = malate/glutamate; other abbreviations as in Figures 1 and 2.

Figure 4

Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF Exhibit Distinct Molecular Signatures Indicative of LV Pathological Remodeling

(A) Left ventricular (LV) gene interactions between significant cardiac hypertrophy and cardiac fibrosis networks revealed by ingenuity pathway analysis between CON and WD-AB animals. (B) Pentraxin-3 (PTX3) mRNA level is increased in the WD-AB group and (C) negatively correlated with LV untwisting. WD-AB animals show a right and downward shift along this relationship compared with CON (+ = individual animal data points forming the regression line). (D) Interleukin 1 receptor-like 1 (IL1RL1) mRNA level was also increased in the WD-AB group and (E) negatively correlated with LV untwisting. WD-AB animals again show a right and downward shift along this relationship compared with CON (+ = individual animal data points forming the regression line). (F) The collagen I/III mRNA ratio is increased in the WD-AB group. (G) A decrease in the more compliant N2BA titin isoform is seen in WD-AB animals with representative samples from both the CON and WD-AB groups presented alongside the bar graph. *t-test versus CON (*p < 0.05). n = 3 for CON and WD-AB in Figure 4A. n = 5 for the CON group and n = 4 for the WD-AB group in Figures 4B to 4G. Abbreviations as in Figures 1 and 2.

Postmortem Analysis of Heart and Lung Morphology, and Pressure−Volume Assessment of Resting Systolic and Diastolic LV Function Values are mean ± SE. Atria = right + left atria; EDPVR = end-diastolic pressure−volume relationship; ESPVR = end-systolic pressure−volume relationship; HR = heart rate; LV = left ventricular; LVEDP = LV end-diastolic pressure; LVEDV = LV end-diastolic volume; LVEF = LV ejection fraction; LVESP = LV end-systolic pressure; LVESV = LV end-systolic volume; LV+S = LV + septum; LV SV = LV stroke volume; LV SVI = LV stroke volume index; PRSW = preload recruitable stroke work; RV = right ventricle; WD-AB = Western diet, aortic banded. p < 0.0001. p < 0.01. p < 0.001. p < 0.05; for significantly different versus control (CON). Serial Echocardiographic Assessment of LV Morphology Values are mean ± SE. Statistics: Post hoc versus CON at the same time point (**p < 0.01; ***p < 0.001); main effect (ME) (##p < 0.0001); interaction effect = group × time (§ p <0.01, ‡p < 0.001); †post hoc within same group versus 6-month time point (†p < 0.01; †† p < 0.001; p < 0.0001). LVIDd = left ventricular internal diastolic dimension; LVIDs = left ventricular internal systolic dimension; LV WTd = left ventricular diastolic wall thickness; LV WTs = left ventricular systolic wall thickness; RM ANOVA, repeated measure analysis of variance. Ingenuity Pathway and Gene Ontology Analyses of Induced Heart Failure-Related Gene Pathways Expressed between CON and WD-AB Left Ventricle BMP = bone morphogenic protein; other abbreviations as in Table 1. Representative P-V Loops Representative pressure−volume (P-V) loops at rest from individual control (CON) and Western diet, aortic-banded (WD-AB) animals. EDPVR = end-diastolic P-V relationship; ESPVR = end-systolic P-V relationship. Ossabaw Swine Fed A WD With Chronic Pressure Overload-Induced HF Show Impaired Individual Cardiomyocyte Function (A) Systolic cardiomyocyte calcium and (C) shortening kinetics are faster under baseline pacing conditions in the WD-AB group, but (B and D) lack β-adrenergic reserve in response to dobutamine. (E and F) Diastolic calcium reuptake (tau) and (G and H) relaxation rate kinetic reserve following exposure to dobutamine is impaired in WD-AB cardiomyocytes. (I) Representative cardiomyocyte images show (J) cardiomyocyte t-tubule disorganization in WD-AB animals. (K) Representative line scans illustrate spontaneous ryanodine receptor-mediated calcium (L) spark frequency and (M) amplitude were increased in the WD-AB group. *t-test versus CON (*p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001). n = 4 animals, 25 to 27 cells in the CON group; n = 4 animals, 23 to 25 cells in the WD-AB group. ANOVA = analysis of variance; HF = heart failure; other abbreviations as in Figure 1. Isolated Mitochondrial Function Is Compromised in Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF and Associated With Decreased L4CL (A) Mitochondrial dysfunction evident as impaired complex 1 and 2-dependent respiration and functional uncoupling of the respiratory chain and adenosine triphosphate synthesis. (B to E) Susceptibility to calcium (Ca2+)-induced mitochondrial permeability transition (an early indicator of mitochondrial dysfunction) was increased in the WD-AB group. (B and C) Quantification of the area above the curve of the Ca2+-induced swelling traces was increased in WD-AB animals. (D and E) Conversely, Ca2+-retention capacity was decreased in the WD-AB group. (F to H) The composition of (G) tetralinoleoyl cardiolipin (L4CL) to (F) total cardiolipin levels was (H) decreased in WD-AB animals. *t-test versus CON (*p < 0.05; ** p < 0.01). n = 4 for CON and WD-AB groups. ADP = adenosine diphosphate; MG = malate/glutamate; other abbreviations as in Figures 1 and 2. Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF Exhibit Distinct Molecular Signatures Indicative of LV Pathological Remodeling (A) Left ventricular (LV) gene interactions between significant cardiac hypertrophy and cardiac fibrosis networks revealed by ingenuity pathway analysis between CON and WD-AB animals. (B) Pentraxin-3 (PTX3) mRNA level is increased in the WD-AB group and (C) negatively correlated with LV untwisting. WD-AB animals show a right and downward shift along this relationship compared with CON (+ = individual animal data points forming the regression line). (D) Interleukin 1 receptor-like 1 (IL1RL1) mRNA level was also increased in the WD-AB group and (E) negatively correlated with LV untwisting. WD-AB animals again show a right and downward shift along this relationship compared with CON (+ = individual animal data points forming the regression line). (F) The collagen I/III mRNA ratio is increased in the WD-AB group. (G) A decrease in the more compliant N2BA titin isoform is seen in WD-AB animals with representative samples from both the CON and WD-AB groups presented alongside the bar graph. *t-test versus CON (*p < 0.05). n = 3 for CON and WD-AB in Figure 4A. n = 5 for the CON group and n = 4 for the WD-AB group in Figures 4B to 4G. Abbreviations as in Figures 1 and 2. Additional analysis of LV function resulted in para-doxical findings with respect to systolic function. Stroke volume (Table 1) and torsion (Supplemental Figure 1D) relative to cardiac remodeling were similar between groups. There was a trend toward increased LV contractility (measured as preload recruitable stroke work, shown by our laboratory and others in AB swine) 20, 23, 24, 40 in the WD-AB group, which was observed in parallel with a decreased stroke volume index (Table 1). Figure 2 outlines the potential contributions of individual cardiomyocyte function to whole heart cardiac dysfunction (representative traces of calcium transients and sarcomere length are presented in Supplemental Figures 2A and 2B). Diastolic and systolic calcium and sarcomere length (Supplemental Figures 2C and 2D), as well as calcium transient and shortening amplitudes (Supplemental Figures 2E and 2F), were comparable between the CON and WD-AB groups under both baseline and dobutamine (1 μM) experimental conditions, which was consistent with preserved systolic function at the whole organ level. However, differences among groups were apparent in calcium transient and shortening kinetics, which resulted in a loss in dobutamine-induced functional kinetic reserve (Figures 2A to 2D). Decreases in cardiomyocyte time to peak calcium (Figures 2A and 2B) and shortening (Figures 2C and 2D) following dobutamine challenge were blunted in the WD-AB group compared with the CON group, despite showing faster cellular systolic kinetics under 0.5-Hz baseline pacing conditions. These combined data suggest that although traditional indicators of systolic function like EF appear normal, the means by which resting systolic function is maintained is substantially different in WD-AB animals. Diastolic function was also impaired in both the whole heart and individual cardiomyocytes in WD-AB animals. The EDPVR was increased in the WD-AB group (representative pressure−volume loops are shown in Figure 1, and quantification is shown in Table 1). This was observed in parallel with abnormal LV diastolic mechanics, including decreased LV early diastolic untwisting and increased LV late longitudinal strain rate, which were indicative of both impaired early diastolic filling and enhanced atrial systole during late diastole, respectively (Table 1). At the cellular level, dobutamine-induced enhancement in diastolic kinetic parameters, including calcium reuptake rate (Figures 2E and 2F) (tau) and relaxation rate (Figures 2G and 2H), were lost in the WD-AB group, although baseline (0.5 Hz) values were similar between groups. In addition, cardiomyocyte t-tubules were disorganized (Figures 2I and 2J), and spontaneous ryanodine receptor−mediated calcium spark frequency and amplitude were increased (Figures 2K and 2L) in WD-AB animals versus CON animals. In total, these data indicate functional and structural changes at the organ and cellular levels consistent with diastolic dysfunction. Impaired myocardial relaxation might also have been influenced by metabolic derangement in the LV. Figure 3 shows LV mitochondrial dysfunction, including decreased complex 1- and 2-dependent respiration and trifluoromethoxy carbonylcyanide phenylhydrazone (FCCP)-uncoupled maximal mitochondrial respiration (Figure 3A). Calcium-induced mitochondrial swelling was exacerbated (Figures 3B and 3C), and calcium retention capacity (Figures 3D and 3E) was also decreased in WD-AB animals, which both indicated increased susceptibility to calcium-induced mitochondrial permeability transition. Shotgun lipidomic showed the proportion of contribution of tetralinoleoyl cardiolipin to total myocardial cardiolipin levels (Figures 3F to 3H) (a phospholipid that consists of ∼80% of ventricular cardiolipin in humans and is considered to reflect a healthy phospholipid phenotype in the heart) (41) was decreased in the WD-AB group. Collectively, evidence of impaired LV mitochondrial energetics is consistent with the development of HF (42). To define the molecular signature associated with the pathological state in the WD-AB heart, transcriptome was profiled in LV tissues from WD-AB and CON animals. As presented in Table 3 and Figure 4, unbiased Ingenuity Pathway Analysis detected top gene expression changes in the WD-AB group are cardiac hypertrophy and cardiac fibrosis, which are listed as the #1 and #4 top significant toxicology lists (Table 3). Significant interaction between gene networks associated with cardiac dysfunction and fibrosis are also identified and illustrated in Figure 4A. Based on gene ontology analysis for the differentially expressed genes, a significant enrichment of several HF-related gene networks was found in the WD-AB hearts, as highlighted by numerous genes known to be implicated in HF-related cardiac fibrosis and hypertrophic remodeling, such as NPPA, NPPB, MYH7, as well as bone morphogenic proteins and collagens (Table 3). In addition to these well-known molecular markers for HF, a number of inflammatory genes were also implicated, including pentraxin-3 (PTX3) 43, 44 and interleukin 1 receptor-like 1 (IL1RL1) 44, 45, which are indicators of inflammation. The approximate 5-fold increase in PTX3 reported by RNA-seq in WD-AB animals was confirmed independently using quantitative real-time polymerase chain reaction (Figure 4B), as was an increase in IL1RL1 (Figure 4D). Cumulative group data, represented by the regression line, also showed a significant negative correlation between LV untwisting and both PTX3 (Figure 4C) and IL1RL1 (Figure 4E) mRNA levels. Group means reflected a right and downward shift along this relationship in the WD-AB group compared with the CON group, which indicated that an increase in LV expression of these markers of inflammation was associated with a decline in LV diastolic mechanical function. Cardiac remodeling in the WD-AB group was confirmed separately by 2 different measures that could influence the stiffness of individual cardiomyocytes and/or the whole heart: 1) an increase in the collagen I/III mRNA ratio (Figure 4F) (indicative of potentially increased extracellular matrix stiffness) (46); and 2) a decrease in protein expression of the N2BA isoform of titin (Figure 4G) (a more compliant isoform of the large elastic sarcomeric protein) 47, 48, 49, 50, 51. Total LV collagen protein was the same between the groups and visualized by representative Masson’s trichrome images (Supplemental Figure 3). This suggested that differences in LV stiffness regulated by the extracellular matrix might be more related to changes in its composition (i.e., collagen isoform shift) as opposed to a general accumulation of total fibrotic components. Overall, these data are indicative of molecular signatures consistent with cardio-metabolic disease in the myocardium of WD-AB animals and suggest that molecular mechanisms potentially relevant to HF are present in this model.

Peripheral and central vascular function

Microvascular dysfunction, reflected by impaired vasodilatory capacity, was present in the skeletal muscle, brain, and coronary resistance vessels of WD-AB animals. Figure 5 shows conduit and resistance vessel function from the skeletal muscle and brain following exposure to endothelial (acetylcholine, bradykinin, insulin) and smooth muscle−dependent (sodium nitroprusside) vasodilators. Although conduit vessel function from both peripheral vascular beds was similar to the brachial artery (Figures 5A and 5B) and the carotid artery (Figures 5F and 5G) in the CON group, endothelial, metabolic, and smooth muscle−mediated vasodilatory capacity was impaired in the resistance arteries from isolated skeletal muscle (Figures 5C to 5E) and brain (Figures 5H to 5J) arterioles in the WD-AB group (complete dose−response curves for resistance vessels are shown in Supplemental Figures 4 to 5). In addition, in vivo evaluation of coronary vascular function demonstrated that although relative coronary blood flow was similar between groups (Supplemental Figure 6A, measured in the left anterior descending coronary artery), myocardial oxygen extraction was greater in the WD-AB group (Supplemental Figure 6B). This was associated with impaired coronary resistance vessel vasodilatory capacity to the large conductance calcium-activated potassium (BKCa) channel agonist NS-1619 in isolated arterioles (Supplemental Figures 6C and 6D, a mediator of arterial tone abundantly expressed in vascular smooth muscle shown to provide protection against excessive vasoconstriction) 24, 52, 53, 54. Gene ontology analysis revealed significant enrichment of several molecular pathways related to vascular disease, including atherosclerosis, microvascular complications, and peripheral vascular disease (Supplemental Table 2). In summary, these data indicate endothelial, metabolic, and smooth muscle−dependent microvascular dysfunction dominate vascular impairment in both the periphery and heart of WD-AB animals, which is consistent with functional vascular abnormalities seen in both cardio-metabolic disease and HF.
Figure 5

Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF Demonstrate Skeletal Muscle and Brain Vascular Dysfunction in Isolated Microvessels

Brachial artery ring preparations indicate (A) endothelial and (B) smooth muscle−dependent function is similar between the CON and WD-AB groups. Skeletal muscle microvessel preparations show significant (C) endothelial, (D) metabolic, and (E) smooth muscle−dependent dysfunction in the WD-AB group. Carotid artery ring preparations reveal (F) endothelial and (G) smooth muscle−dependent function is similar between the CON and WD-AB group. Cerebral microvessel preparations show significant (H) endothelial, (I) metabolic, and (J) smooth muscle−dependent dysfunction in WD-AB animals. *t-test versus CON (*p < 0.05; **p < 0.01; ***p < 0.001). n = 5 for the CON group, and n = 4 for the WD-AB group. Ach = acetylcholine; SM = skeletal muscle; SNP = sodium nitroprusside; other abbreviations as in Figures 1 and 2.

Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF Demonstrate Skeletal Muscle and Brain Vascular Dysfunction in Isolated Microvessels Brachial artery ring preparations indicate (A) endothelial and (B) smooth muscle−dependent function is similar between the CON and WD-AB groups. Skeletal muscle microvessel preparations show significant (C) endothelial, (D) metabolic, and (E) smooth muscle−dependent dysfunction in the WD-AB group. Carotid artery ring preparations reveal (F) endothelial and (G) smooth muscle−dependent function is similar between the CON and WD-AB group. Cerebral microvessel preparations show significant (H) endothelial, (I) metabolic, and (J) smooth muscle−dependent dysfunction in WD-AB animals. *t-test versus CON (*p < 0.05; **p < 0.01; ***p < 0.001). n = 5 for the CON group, and n = 4 for the WD-AB group. Ach = acetylcholine; SM = skeletal muscle; SNP = sodium nitroprusside; other abbreviations as in Figures 1 and 2.

Comorbidities and inflammation

Before aortic banding, the body weight of WD-AB animals was significantly increased compared with CON, which indicated metabolic disease was developing at the time of surgery. The data presented in Figures 6A to 6J and Table 2 show evidence of metabolic derangement at the time terminal experiments were performed. Specifically, obesity (body weight) (Figures 6A, Table 2), inactivity (decreased animal movement in the pen) (Figure 6B), insulin resistance (homeostatic model assessment of insulin resistance) (Figure 6C), and plasma hyperlipidemia (Figures 6D to 6G) (including chlorinated lipids [Figure 6G] associated with increased immune-derived reactive oxygen species production, inflammatory signaling, and endothelial dysfunction) 55, 56, 57, 58 were seen in the WD-AB group. Wound healing in the WD-AB group following surgical intervention was excellent, and all animals were ambulatory, eating, urinating, and defecating normally within 1 week post-surgery. Thus, the significant decrease in cage activity in WD-AB animals was not related to our surgical procedures or other health concerns separate from the aortic banding or dietary interventions. Increased plasma liver enzyme levels and nonalcoholic fatty liver disease (Figures 6H to 6J) (evident by the combination of liver steatosis, inflammation, and fibrosis) in WD-AB animals was also consistent with nonalcoholic steatohepatitis as shown previously in WD-fed Ossabaw swine by our laboratory (14). Several reports indicate nonalcoholic steatohepatitis is related to HF and LV diastolic dysfunction 59, 60, 61, 62, 63. Further exploration of group differences that examined metabolic and renal disease, including immune and inflammation-related signaling pathways and phenotypes, were assessed using RNA-seq in LV tissue and is presented in Supplemental Figures 7 and 8 and Supplemental Tables 1 to 3. Enhancement of molecular pathways related to obesity, metabolic syndrome, diabetes, fatty liver disease, glomerulonephritis, and renal fibrosis were revealed following gene ontology analysis (Supplemental Table 2). A number of corresponding signaling pathways (Supplemental Table 3) and genetic phenotypes (Supplemental Table 4) highlighted immune and inflammatory involvement. Three of the top 5 significant upstream regulators identified by ingenuity pathway analysis indicated activation of well-known signaling networks that contributed to systemic inflammation, including tumor necrosis factor (Supplemental Figure 7A) (p < 0.05), interferon-γ (Supplemental Figure 7B) (p < 0.05), and toll-like receptor 3 (Supplemental Figure 7C) (p < 0.05). Top regulator effect gene networks that support activation (Supplemental Figure 8A) (p < 0.05), migration (Supplemental Figure 8A, p < 0.05), and adhesion (Supplemental Figure 8B) (p < 0.05) of immune cells potentially influenced by NF-κB signaling pathways (Supplemental Table 3, Supplemental Figure 8B) (CHUK-inhibitor of NF-κB kinase subunit-α) were also identified. Together, these findings suggest this preclinical model displays a chronic inflammatory state consistent with cardio-metabolic disease and HF.
Figure 6

Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF Exhibit a Systemic Inflammatory State Consistent With Common Comorbidities Seen in Experimental HF

Animals in the WD-AB group were (A) obese, (B) inactive, and (C) insulin resistant (homeostatic model assessment of insulin resistance [HOMA-IR]). Dyslipidemia was observed in WD-AB animals as indicated by (D) increased plasma cholesterol, (E) triglycerides, (F) low-density lipoproteins (LDL), and (G) 2-chlorostearate. (H and I) Plasma liver enzymes were increased and evidence of (J; Masson’s trichrome stain) increased liver fibrosis were seen in the WD-AB group. *t-test versus CON (*p < 0.05; **p < 0.01; ***p < 0.001). n = 5 for CON and WD. Abbreviations as in Figures 1 and 2.

Ossabaw Swine Fed a WD With Chronic Pressure Overload-Induced HF Exhibit a Systemic Inflammatory State Consistent With Common Comorbidities Seen in Experimental HF Animals in the WD-AB group were (A) obese, (B) inactive, and (C) insulin resistant (homeostatic model assessment of insulin resistance [HOMA-IR]). Dyslipidemia was observed in WD-AB animals as indicated by (D) increased plasma cholesterol, (E) triglycerides, (F) low-density lipoproteins (LDL), and (G) 2-chlorostearate. (H and I) Plasma liver enzymes were increased and evidence of (J; Masson’s trichrome stain) increased liver fibrosis were seen in the WD-AB group. *t-test versus CON (*p < 0.05; **p < 0.01; ***p < 0.001). n = 5 for CON and WD. Abbreviations as in Figures 1 and 2.

Discussion

This multidisciplinary research study showed that Ossabaw swine fed a WD and subjected to chronic cardiac pressure-overload exhibited functional, structural, and genetic characteristics consistent with cardio-metabolic HF. In this experimental setting, WD-AB animals displayed a number of cardiac and vascular features reminiscent of metabolic derangement and HF, including comorbidities associated with activation of the immune system and inflammation. Collectively, these data indicated the combination of traditional methods used to generate HF (i.e., diet, aortic-banding) imposed on the unique genetic background of Ossabaw swine resulted in a translational animal model with a distinctive constellation of findings that are conceivably useful to extending the understanding of how pre-existing cardio-metabolic syndrome can contribute to developing HF. As hypothesized, WD-AB animals displayed cardiac characteristics fundamental to HF, including traditional indicators, myocardial remodeling, diastolic dysfunction, and signs of altered, but compensated resting systolic function. Conventional markers of HF were observed at both system and molecular levels as shown by post-mortem, imaging, and molecular signatures that highlighted pathological cardiac remodeling (increased diastolic wall thickness), pulmonary involvement, and classic HF-related genes (e.g., natriuretic peptides, myosin heavy chain). Diastolic dysfunction was evident at the whole heart level in the WD-AB group by both an increase in the EDPVR and mechanically via abnormal diastolic strain measures, which implied difficulty filling during early diastole, with attempts to compensate for this deficiency by increasing the contributions of atrial systole to overall LV filling 64, 65, 66, 67, 68. Increased EDPVR and altered LV diastolic mechanics, observed in parallel with increased aortic systolic pressure, pulse pressure, and directionally consistent (but nonsignificant) increases in mean arterial pressure, effective arterial elastance, end-systolic elastance, and a decreased effective arterial elastance/end-systolic elastance ratio are evocative of HFpEF (69). LV end-diastolic pressure may not be elevated in early HFpEF 70, 71; thus, our findings outline a reasonable scenario in which both vascular and ventricular stiffening could lead to the increase in the wet lung weight observed in the WD-AB group in the present study. In addition, an impaired ability of cardiomyocytes to sequester calcium and relax during diastole following β-adrenergic agonism signified a decrease in cellular diastolic cardiac reserve. Molecular signatures also indicated detrimental LV remodeling, as verified by evidence of collagen and titin isoform shifts, could increase the stiffness of the myocardium in parallel with LV mitochondrial dysfunction (via associated deficits in energetic need impairing excitation−contraction coupling). Although compensated at rest, physiological assessment of systolic function indicated a number of paradoxical findings in the whole organ and a lack of cardiac reserve in isolated cardiomyocytes from the WD-AB group. A specific example of this inconsistency included no group differences in what would be considered a normal EF (>50%), observed in parallel with increased LV contractility (preload recruitable stroke work) and reduced systemic perfusion as indicated by the decreased stroke volume index. This contradiction also existed at the cellular level in WD-AB animals, as individual cardiomyocytes displayed normal absolute calcium transient and shortening amplitude, yet had an associated reduction in kinetic reserve capacity in response to adrenergic challenge with dobutamine. Such findings were consistent with those in rodent models of hypertrophy, in which cardiomyocyte functional parameters are maintained or enhanced 72, 73, which may serve as an initial compensatory mechanism used by the heart to maintain systolic function at rest (74). However, such functional adaptations might consume a large portion of the cardiac reserve that normal healthy hearts typically maintain. This functional compensation, disguised at rest, becomes apparent during scenarios of increasing cardiovascular stress (e.g., activities of daily living, exercise), limiting the flexibility of the heart to respond to increasing hemodynamic demand. Together, this collection of data provides a solid foundation of evidence supporting the presence of experimental HF in WD-AB animals. Increasing evidence suggests peripheral vascular dysfunction also plays a significant role in the lack of cardiovascular reserve and high prevalence of cardiogenic dementia in patients with HF. Our results indicate that at this stage of disease, a profile of primarily microvascular dysfunction reminiscent of HFpEF was observed in this translational model, as opposed to impaired conduit artery function which is more often associated with HFrEF 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87. Novel data from the WD-AB group indicated there was a significant smooth muscle component to this profile of functional microvascular impairment in multiple vascular beds, including those supplying skeletal muscle, the brain, and the heart. Vascular mechanisms targeting smooth muscle may have therapeutic value given smooth muscle-mediated vascular dysfunction has been observed in resistance vessels from both the heart and the brain of Ossabaw swine with metabolic syndrome that did not have HF (88), and aortic-banded Yucatan mini-swine that displayed HF in the absence of metabolic comorbidities 24, 26. A good deal of focus has also been placed on endothelial impairment caused by chronic inflammation as a driving force behind the development of cardio-metabolic syndrome and HF. Our results likewise showed both endothelial and metabolic microvascular dysfunction in WD-AB animals (again in multiple vascular beds). A potential intersection between smooth muscle and endothelial-dependent vascular dysfunction could be nitric oxide, manifested via impaired downstream cGMP/PKG signaling that could negatively affect LV function from both a vascular and myocardial perspective (44). Diminished microvascular function, regardless of cellular mechanism, could significantly impact a patient’s ability to engage in normal activities of daily living via: 1) a limited ability to increase blood flow to skeletal muscle and/or the heart in response to increased metabolic demand; or 2) by harming cognitive function potentially leading to depression, dementia, and reduced therapeutic compliance. Together, these data indicate vascular impairment in WD-AB animals is dominated by microvascular dysfunction in multiple organs. We provide new evidence of a significant smooth muscle−mediated component to the disease process, in addition to metabolic and endothelial-dependent impairment. These findings are consistent with paradigms believed to reflect a scenario of cardio-metabolic HF.

Clinical perspectives

The combination of multisystem genetic signatures, considered in parallel with a profile of metabolic disease, including obesity, inactivity, and dyslipidemia, supports the initial decision to use Ossabaw swine for this study given their genetic predisposition to this cluster of health disparities. From a molecular perspective, mRNA transcriptome signatures from the LV support our pathophysiological evidence of experimental HF and extensive cardio-metabolic disease in the WD-AB group. The molecular changes are highlighted by genes and pathways that are also implicated in numerous cardiac, vascular, metabolic, renal, immune, and inflammation-related signaling pathways. In particular, bone morphogenic protein−related pathways and NF-κB−mediated inflammatory gene induction are stimulated by transforming growth factor-β, tumor necrosis factor-α, and interleukin-1 signaling 89, 90, 91. These pathways, in addition to IL1RL1 (also part of the IL-1 super family) 92, 93, were observed in the hearts of WD-AB animals. Anti-inflammatory therapy, including interleukin-1 and transforming growth factor-β inhibition, could be tested in the preclinical cardio-metabolic HF model presented here and contribute to the continuing evaluation of these therapeutic targets, which are currently being examined in clinical trials for both HFrEF and HFpEF 94, 95, 96, 97. In addition, ingenuity pathway analysis revealed significant gene signatures associated with activation, migration, and adhesion of immune cells potentially regulated in part by Inhibitor of NFκB Kinase Subunit Alpha (CHUK), a component of the NFκB signaling complex that, counterintuitive to its title, prompts activation of NFκB signaling 90, 91. Results from unbiased ‘-omics’-based analysis between groups indicate a strong role for NFκB signaling in WD-AB animals, which can be activated by chlorinated lipids such as 2-chlorostearate. Chlorinated lipids can be generated from myeloperoxidase, a protein expressed in neutrophils, monocytes, and leukocytes that has been linked to inflammation and endothelial dysfunction 55, 56, 57. Therapeutic modulation of diet, including manipulation of lipid intake, has been linked to diastolic function and cardiovascular risk in HFpEF patients 98, 99, 100. Our results suggest this animal model could be a suitable platform to examine nutritional interventions as a way to modulate the pathological inflammation and vascular dysfunction associated with cardio-metabolic HF. Systemic inflammation is highly correlated with metabolic derangement, and our results also found several gene networks reflecting inflammatory and immune signaling pathways were induced in the WD-AB group, including well-established molecular targets such as tumor necrosis factor, interferon-γ, and toll-like receptor 3 101, 102, 103, 104, 105. The finding of inflammatory markers, such as PTX3 and IL1RL1, may also have potential diagnostic importance 43, 44, 45. PTX3 has been correlated with diastolic dysfunction 106, 107, and IL1RL1 is mechanistically linked to the regulation of myocardial fibrosis 104, 105, 108. Molecular validation of these targets in WD-AB animals, and the association of PTX3 and IL1RL1 with LV untwisting during early diastole, provides further support of potential links between their levels and impaired diastolic function. These relationships warrant further mechanistic interrogation. Other molecular targets that recently garnered attention for their therapeutic potential to treat HF include phosphodiesterase-9 (109) and histone deacetylases such as HDAC9 (110). These mechanisms appear as genes of interest in the cardiac hypertrophy and fibrosis networks presented in Figure 4A that are significantly altered in this translational model of cardio-metabolic HF. Considered together, the results of this study reveal a number of cellular mechanisms potentially applicable to a cardio-metabolic phenotype characterized by diet and comorbidity-driven inflammation. Accordingly, these data provide numerous avenues of exploration that we believe could be tested in this new preclinical platform of cardio-metabolic HF.

Study limitations

The assessment of cardiac reserve is powerful as a diagnostic tool for assessing HF. In the present study, we assessed cardiac reserve at only the cellular level. Our group has a history of using both exercise and dobutamine dose−response protocols in the catheter laboratory to assess cardiac reserve in vivo 22, 23, 24, 25, 27, 111, 112, 113. Although practical considerations (including an extensive focus on the transcriptome) limited our ability to perform these experiments, examination of cardiac reserve in future studies will be important to the continued verification of HF in this model. A comprehensive examination of cardiomyocyte calcium fluxes was not performed, and the functional changes in calcium handling proteins in this disease model remain to be determined. We anticipate these changes are multifactorial based on our findings, and suggest complex changes in expression and/or post-translational modification of multiple calcium handling proteins. The transcriptome results presented in this study only suggest that certain molecular signatures in the heart share the same profile as observed in other diseases (e.g., renal pathology). By itself, the renal RNA-seq data observed from LV samples was not sufficient to establish etiology or mechanism, and further interrogation of kidney disease and its relationship to developing HF is warranted. A strength of this model is the statistical justification of a strong pathological phenotype in the animals, despite the large variability inherent to disease. Nevertheless, more subtle phenotypes that could be of physiological importance may be difficult to resolve with the present study design, and follow-up studies will be essential to extend the clinical translation of our initial findings.

Conclusions

Our results indicate the combination of pressure-overload and dietary intervention results in a profile of cardio-metabolic HF in Ossabaw swine. This unique preclinical animal model provides the opportunity to enhance our understanding of how metabolic disease interacts with developing HF, as well as a translational opportunity to develop new mechanistic avenues of exploration relevant to pathological conditions when symptoms of both cardio-metabolic disease and HF are present. COMPETENCY IN MEDICAL KNOWLEDGE: The development of new treatments for HF has suffered from a lack of animal models that encompass the increasingly heterogeneous disease profile of this patient population. This report provides evidence supporting the hypothesis that WD-AB Ossabaw swine displayed an integrated physiological, morphological, and genetic phenotype evocative of cardio metabolic HF. TRANSLATIONAL OUTLOOK: This new preclinical animal model displayed a distinctive constellation of findings that are conceivably useful to extending the understanding of how pre-existing cardio-metabolic syndrome can contribute to developing HF.
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