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Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease logoLink to Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
. 2021 Jun 25;10(13):e019995. doi: 10.1161/JAHA.120.019995

Effects of Sodium‐Glucose Linked Transporter 2 Inhibition With Ertugliflozin on Mitochondrial Function, Energetics, and Metabolic Gene Expression in the Presence and Absence of Diabetes Mellitus in Mice

Dominique Croteau 1,*, Ivan Luptak 1,*, Jordan M Chambers 1, Ion Hobai 1, Marcello Panagia 1, David R Pimentel 1, Deborah A Siwik 1, Fuzhong Qin 1, Wilson S Colucci 1,
PMCID: PMC8403324  PMID: 34169737

Abstract

Background

Inhibitors of the sodium‐glucose linked transporter 2 improve cardiovascular outcomes in patients with or without type 2 diabetes mellitus, but the effects on cardiac energetics and mitochondrial function are unknown. We assessed the effects of sodium‐glucose linked transporter 2 inhibition on mitochondrial function, high‐energy phosphates, and genes encoding mitochondrial proteins in hearts of mice with and without diet‐induced diabetic cardiomyopathy.

Methods and Results

Mice fed a control diet or a high‐fat, high‐sucrose diet received ertugliflozin mixed with the diet (0.5 mg/g of diet) for 4 months. Isolated mitochondria were assessed for functional capacity. High‐energy phosphates were assessed by 31P nuclear magnetic resonance spectroscopy concurrently with contractile performance in isolated beating hearts. The high‐fat, high‐sucrose diet caused myocardial hypertrophy, diastolic dysfunction, mitochondrial dysfunction, and impaired energetic response, all of which were prevented by ertugliflozin. With both diets, ertugliflozin caused supernormalization of contractile reserve, as measured by rate×pressure product at high work demand. Likewise, the myocardial gene sets most enriched by ertugliflozin were for oxidative phosphorylation and fatty acid metabolism, both of which were enriched independent of diet.

Conclusions

Ertugliflozin not only prevented high‐fat, high‐sucrose–induced pathological cardiac remodeling, but improved contractile reserve and induced the expression of oxidative phosphorylation and fatty acid metabolism gene sets independent of diabetic status. These effects of sodium‐glucose linked transporter 2 inhibition on cardiac energetics and metabolism may contribute to improved structure and function in cardiac diseases associated with mitochondrial dysfunction, such as heart failure.

Keywords: cardiac metabolism, diabetic cardiomyopathy, energetics, mitochondria, sodium‐glucose linked transporter 2 inhibitor

Subject Categories: Heart Failure, Metabolic Syndrome, Metabolism, Cellular Reprogramming


Nonstandard Abbreviations and Acronyms

CD

control diet

DCMP

diabetic cardiomyopathy

FAM

fatty acid metabolism

FAO

fatty acid oxidation

GO

Gene Ontology

GSEA

Gene Set Enrichment Analysis

HFHS

high fat, high sucrose

NES

normalized enrichment score

OXPHOS

oxidative phosphorylation

ROS

reactive oxygen species

RPP

rate pressure product

SGLT2

sodium‐glucose linked transporter 2

Clinical Perspective

What Is New?

  • In mice with diet‐induced diabetic cardiomyopathy, the sodium‐glucose linked transporter 2 inhibitor ertugliflozin prevented myocardial hypertrophy, fibrosis, and diastolic dysfunction.

  • In diabetic mice, ertugliflozin preserved isolated mitochondrial function and improved myocardial energetics measured by 31P nuclear magnetic resonance spectroscopy in the beating heart.

  • In both diabetic and nondiabetic (control) hearts, ertugliflozin increased the contractile reserve elicited by increased work demand to supernormal levels, and in both diabetic and control hearts, ertugliflozin induced coordinated expression of genes expected to increase oxidative phosphorylation and the use of fatty acids as fuel.

What Are the Clinical Implications?

  • The effect of ertugliflozin to cause a broad reprogramming of myocardial metabolism and improve energetics, independent of diabetes mellitus, may contribute to the mechanism responsible for the beneficial effects of sodium‐glucose linked transporter 2 inhibitors in patients with heart failure with or without diabetes mellitus.

  • These effects on myocardial metabolism and function suggest that sodium‐glucose linked transporter 2 inhibition may be valuable in the treatment of myocardial diseases, in addition to heart failure, that are associated with mitochondrial dysfunction, independent of diabetes mellitus.

Patients with obesity‐related type 2 diabetes mellitus develop diabetic cardiomyopathy (DCMP), a phenotype that is characterized by left ventricular (LV) hypertrophy and diastolic dysfunction.1, 2, 3, 4 A key pathophysiologic feature of DCMP is mitochondrial dysfunction that leads to decreased production of ATP and excessive release of reactive oxygen species (ROS).5, 6 Decreased ATP production limits the heart's ability to perform hemodynamic work, thereby restricting cardiac contractile reserve, and impairs other ATP‐dependent enzymes involved in sodium and calcium homeostasis. Another characteristic of mitochondrial dysfunction is excessive release of ROS that play a central role in driving pathologic remodeling in DCMP.5

Inhibition of the sodium‐glucose linked transporter 2 (SGLT2), a treatment for type 2 diabetes mellitus, has been shown to decrease heart failure hospitalization and cardiovascular mortality in patients with7, 8, 9, 10 and without11, 12 diabetes mellitus. These provocative results have ignited a search for the mechanism by which SGLT2 inhibitors act. Several mechanisms have been suggested, including glycemic control, sodium diuresis, inhibition of the myocyte sodium/hydrogen exchanger, increased ketones serving as a “super fuel,” increased glucagon secretion, and modulation of myocyte calcium homeostasis.13 In addition, there is evidence that SGLT2 inhibition improves mitochondrial function in diabetes mellitus: in db/db mice, SGLT2 inhibition corrected the cardiac energetic deficit, as assessed by measurement of substrate use.14 Surprisingly, SGLT2 inhibition also appears to improve cardiac metabolic function in the absence of diabetes mellitus: in normoglycemic pigs with heart failure post‐myocardial infarction, SGLT2 inhibition preserved myocardial ATP content.15 Likewise, in nondiabetic mice with heart failure attributable to pressure overload, SGLT2 inhibition improved cardiac function in working hearts.16 Of note, none of the aforementioned studies included controls treated with SGLT2 inhibitors.

Mice fed a high‐fat, high‐sucrose (HFHS) “Western” diet become obese and develop type 2 diabetes mellitus.4 We have shown that these mice exhibit a cardiac phenotype similar to patients with obesity‐related type 2 diabetes mellitus with LV hypertrophy, diastolic dysfunction, decreased mitochondrial ATP production, excessive mitochondrial ROS release, and an impaired cardiac energetic response to increased work demand.5, 17, 18 In mice fed a HFHS diet, transgenic overexpression of catalase targeted to mitochondria corrects cardiac energetics and prevents several features of the cardiac phenotype, including diastolic dysfunction, myocyte hypertrophy, and interstitial fibrosis,5, 18suggesting that mitochondrial dysfunction with excessive ROS production plays a pivotal role in mediating the cardiac phenotype. The primary goals of this study were to (1) test whether SGLT2 inhibition by long‐term administration of ertugliflozin to mice with obesity‐related diabetes mellitus would prevent mitochondrial dysfunction, as reflected by ROS release, ATP production, and myocardial energetics; and (2) determine if the effects of SGLT2 inhibition on mitochondrial function were dependent on the presence of diabetes mellitus, which was assessed in ertugliflozin‐treated control mice.

Methods

The authors declare that all supporting data are available within the article and its supplemental materials.

Experimental Animals

Eight‐week‐old male C57BL/6J mice (Jackson Laboratory) were randomized by body weight to 1 of 4 experimental groups: (1) control diet (CD; 10% kcal lard, 0% sucrose; D09071703; Research Diets), (2) CD formulated with ertugliflozin (0.5 mg/g of diet; Merck), (3) HFHS diet (58% kcal lard, 28% sucrose; D09071702; Research Diets), or (4) HFHS formulated with ertugliflozin (0.5 mg/g of diet; Merck). The ertugliflozin dose used (0.5 mg/g of diet) is the dose identified in preclinical rodent studies, which were based on urinary glucose excretion and formed the basis for selection of the dose used in humans.19 All diets were formulated at Research Diets, and all animals were fed their respective diet for 4 months. Body weight and food consumption were measured weekly. Weekly caloric consumption per mouse was calculated as grams of diet consumed×4.05 kcal/g for CD‐based diets or as grams of diet consumed×5.54 kcal/g for HFHS‐based diets.5 The protocol was approved by the Institutional Animal Care and Use Committee at Boston University School of Medicine.

Fasting Blood Measurements

Blood was collected from the tail vein of mice fasted overnight. Whole blood was used to measure blood glucose by a ContourNext glucometer (Bayer) and hemoglobin A1c (Crystal Chem) per manufacturer's instructions. Remaining blood samples were centrifuged to separate the plasma, and plasma insulin levels were measured by UltraSensitive Mouse Insulin ELISA kit (Crystal Chem), according to manufacturer's instructions. The homeostasis model assessment of insulin resistance index was calculated using the formula: (fasting blood glucose [mg/dL]×fasting plasma insulin [μU/mL])÷405.

Echocardiography

Two‐dimensional, M‐mode, and Doppler echocardiography was used to measure LV dimensions and function, as previously described.4 A VisualSonics Vevo 2100 high‐resolution imaging system equipped with a 22‐ to 55‐mHz MS550D transducer was used for data capture and analysis.

Organ Weight and Histology

Mice were euthanized at the end of the study. Hearts were weighed, atria and right ventricle were removed, and left ventricles with septum were weighed. Tissue was divided into 3 pieces: (1) flash frozen in liquid nitrogen, (2) fixed in 10% buffered formalin, and (3) processed to isolate mitochondria (see next section). A leg from each animal was removed to obtain tibia length for heart weight normalization. Formalin‐fixed tissues were embedded in paraffin, sectioned, and stained.

Myocyte cross‐sectional area, fibrosis (Picrosirius Red), and 4‐hydroxynonenal were measured and analyzed, as previously described.4, 18 To assess myocyte cross‐sectional area, sections were stained with hematoxylin and eosin and examined under a light microscope (BX40; Olympus). Five random fields from each of 2 sections per animal were analyzed so that 60 myocytes per animal were quantified. Myocyte cross‐sectional area was calculated using NIH ImageJ software. To assess fibrosis, sections were stained with Picrosirius Red Stain Kit (Polysciences) and examined under a light microscope (BX40; Olympus). Mean percentage of fibrosis was determined from 10 random fields per heart and quantified using NIH ImageJ software. For 4‐hydroxynonenal immunohistochemical staining, sections were blocked in 10% goat serum in PBS, incubated with mouse anti–4‐hydroxynonenal monoclonal antibody (Percipio Biosciences), and then incubated with goat biotin‐conjugated anti‐mouse IgG (Vector Laboratories). The sections were incubated with avidin and biotinylated horseradish peroxidase macromolecular complex (Vector Laboratories) and stained with 3‐amino‐9‐ethylcarbazole (Vector Laboratories) and hematoxylin (Vector Laboratories). For a negative control, the primary antibody was omitted for normal mouse IgG. The samples were examined under a light microscope (BX40; Olympus). Ten color images of 4‐hydroxynonenal staining were randomly selected from 2 sections of the heart and photographed at a magnification of ×40. The area and intensity of staining were scored in a blinded manner for quantification as follows: 0, no visible staining; 1, faint staining; 2, moderate staining; and 3, strong staining.20

Isolated Mitochondria Studies

Ventricular tissue was homogenized, subjected to 2‐step centrifugation to isolate a crude extract of intact mitochondria, and mitochondrial H2O2 production and ATP synthesis were measured, as we have previously described.5 Briefly, mitochondria H2O2 production was measured via Amplex Ultra Red horseradish peroxidase fluorescence method (Invitrogen), using succinate (5 mmol/L) and rotenone (2 μmol/L) to drive catalase‐inhibited H2O2 production. H2O2 production was determined by measuring the slope of the increase in fluorescence (excitation wavelength of 545 nm and emission wavelength of 590 nm) over a 20‐minute period (measuring at 30‐second intervals) with 10 μg of mitochondrial protein per well.

ATP synthesis was determined via a luciferin/luciferase‐based ATP bioluminescence assay kit (Roche) also using succinate and rotenone to drive oligomycin‐sensitive ATP synthesis. ATP production was measured using the initial slope of the increase in ATP‐supported luciferase chemiluminescence (≈40–60 seconds, measuring at 6‐second intervals) after subtracting background and nonmitochondrial ATP values, with 10 μg of mitochondrial protein per well. Both assays were read on a Tecan M1000 Pro multimode plate reader at room temperature. Each run included one mouse from each experimental group (CD, ertugliflozin CD, HFHS, and ertugliflozin HFHS). The results for both assays are reported as the percentage change relative to the CD animal included in each run to account for day‐to‐day assay variability.

LV Contractile Function and High‐Energy Phosphates Assessed by 31P Nuclear Magnetic Resonance Spectroscopy

LV contractile function was assessed in a Langendorff heart preparation, as previously described.17, 18, 21 Hearts were perfused with Krebs‐Henseleit buffer containing 10 mmol/L glucose and 0.5 mmol/L pyruvate. A water‐filled balloon was inserted into the LV to measure LV pressure and adjust LV volume. LV developed pressure was calculated as: developed pressure=systolic pressure−end diastolic pressure. Perfused hearts were placed in a 10‐mm glass tube in a 9.4‐T vertical bore magnet and maintained at 37°C throughout the protocol. [ATP], [phosphocreatine], [inorganic phosphate], and intracellular pH (pH) were measured using a 31P nuclear magnetic resonance Varian spectrometer at 161.4 MHz. Each 31P nuclear magnetic resonance spectrum resulted from the average of 208 free induction decay signals over 8 minutes.

After initial stabilization for 30 minutes, balloon volume was adjusted to achieve an end diastolic pressure of 8 to 9 mm Hg, and held constant during the rest of the protocol. LV work demand was changed by increasing the concentration of CaCl2 in the Krebs‐Henseleit buffer from 2 to 4 mmol/L and increasing the pacing rate from 450 to 600 beats per minute. Hearts were perfused at baseline workload (450 beats per minute, 2 mmol/L CaCl2) for 2 measurements (8 minutes each measurement) and at high workload (600 beats per minute, 4 mmol/L CaCl2) for another 2 measurements. The measurements were averaged for each condition. Work performed was estimated as the rate pressure product (RPP)=developed pressure×heart rate.17

RNA Isolation, RNA Sequencing, and Sequencing Analysis

Frozen LV tissue from 4 representative hearts per group (based on LV wall thickness and velocity of tissue relaxation (Em) measured by tissue Doppler echocardiography) was homogenized, and mRNA was extracted with the RNeasy Universal Mini Kit (Qiagen) according to manufacturer's instructions. The Boston University Microarray and Sequencing Resource Core Facility performed RNA quantity and quality measurements, library preparations, RNA sequencing, and analyses. Sequencing libraries were generated using the NEBNext Ultra II RNA kit with poly(A) selection and run on an Illumina NextSeq 500 platform with 75‐bp paired‐end reads.

FASTQ files were aligned to mouse genome build mm10 using STAR22 (version 2.6.0c), and assessed for quality using FastQC (version 0.11.7) and RSeQC (version 3.0.0). Ensembl‐Gene–level counts for nonmitochondrial genes were generated using featureCounts (Subread package, version 1.6.2) and Ensembl annotation build 92 (uniquely aligned proper pairs, same strand). Separately, SAMtools (version 1.9) was used to count reads aligning in proper pairs at least once to either strand of the mitochondrial chromosome or to the sense or antisense strands of Ensembl loci of gene biotype "rRNA" or of nonmitochondrial RepeatMasker loci of class "rRNA" (as defined in the RepeatMasker track retrieved from the University of California, Santa Cruz, Table Browser). This resulted in uniquely aligned non–mitochondrial chromosome coverage averaging 19.5 million reads per sample and >90% aligned to a single gene, with identification of roughly 28 000 individual genes. Differential expression was assessed using the Wald test implemented in the DESeq2 R package (version 1.22.1).23 Correction for multiple hypothesis testing was accomplished using the Benjamini‐Hochberg false discovery rate. Human homologs of mouse genes were identified using HomoloGene (version 68). The full data set has been deposited in the National Center for Biotechnology Information Gene Expression Omnibus repository (Gene Expression Omnibus Series Identifier GSE161827).

Gene Set Enrichment Analysis (GSEA) (version 2.2.1)24 was used to identify biological terms, pathways, and processes that are coordinately upregulated or downregulated within each pairwise comparison. The Entrez Gene identifiers of the human homologs of all genes in the Ensembl Gene annotation were ranked by the Wald statistic computed for each effect in the 2‐factor model, as well as for each pairwise comparison. Ensembl Genes matching multiple mouse Entrez Gene identifiers, and mouse genes with multiple human homologs (or vice versa), were excluded before ranking, so that the ranked list represents only those human Entrez Gene Identifiers that match exactly one mouse Ensembl Gene. Each ranked list was then used to perform preranked GSEAs (default parameters with random seed 1234) using gene sets obtained from the Molecular Signatures Database, version 6.0,25 including Gene Ontology (GO) and Hallmark gene sets.

Gene set size is the number of genes in the gene set that overlap with the genes in the ranked list. Enrichment scores, a measure of skewness of each gene set (positive or negative), correspond to a trend for predominately upregulated or downregulated genes with respect to the reference group. Enrichment scores are normalized as the ratio of the observed enrichment score/the mean enrichment score computed across 1000 random distributions of the members of the gene set across the ranked list. Because this is a permutation calculation, the finding of “zero” occurrences yields nominal P values and false discovery rate–corrected P values <0.001 (ie, 1/number of permutations). To aid in interpretation of GSEA results, enrichment plots and coordinating leading‐edge heat maps were generated from each ranked list. The colors for each matrix were assigned as z‐scores normalized to a mean of 0 and SD of 1 across all samples in each row, based on the regularized logarithm transformed expression values for each gene across all samples. These z‐scores were then trimmed to the range −2 (blue) to 2 (red). All RNA sequencing–related analyses were performed using the R environment for statistical computing (version 3.5.1).

Statistical Analysis

All data are presented as mean±SEM. Normality was determined using the Shapiro‐Wilk test. For normally distributed data, 1‐ or 2‐way ANOVA with Bonferroni correction for multiple comparisons was performed. Kruskal‐Wallis with Dunn correction for multiple comparisons was used for not normally distributed data. Specific statistical tests are indicated in figure legends. GraphPad Prism 9 software was used for calculations. A P<0.05 was considered statistically significant.

Results

Ertugliflozin Decreases Weight Gain and Prevents Insulin Resistance in HFHS‐Fed Mice

Mice on the HFHS diet consumed more calories and gained more weight than mice on the CD (Figure S1). The difference in weight was evident by 1 month on diet and persisted for the duration of the study. Ertugliflozin‐treated mice on either diet gained less weight over time than their respective control groups, despite no sustained difference in diet‐specific caloric intake. In HFHS‐fed mice, glycated hemoglobin percentage (Figure 1A), fasting blood glucose (Figure 1B), fasting insulin (Figure 1C), and the homeostasis model assessment of insulin resistance index (Figure 1D) were increased compared with CD‐fed mice, and all were normalized by treatment with ertugliflozin. Thus, ertugliflozin ameliorated the major systemic hallmarks of diabetes mellitus.

Figure 1. Antidiabetic effects of ertugliflozin (ERTU).

Figure 1

Mice fed a high‐fat, high‐sucrose (HFHS) diet for 4 months developed type 2 diabetes mellitus with elevation of hemoglobin A1c (HbA1c) (A), fasting glucose (B), fasting insulin (C), and homeostasis model assessment of insulin resistance (HOMA‐IR) (D), all of which were prevented by concomitant treatment with ERTU added to the diet (*P<0.05, **P<0.01 vs control diet [CD]; # P<0.05, ### P<0.001 vs HFHS; 1‐way ANOVA with Bonferroni correction for all; data presented as mean±SEM). The n per group for CD, ERTU/CD, HFHS, ERTU/HFHS is as follows: A, 5/5/9/8; B, 4/5/9/4; C and D, 3/3/4/4.

Ertugliflozin Prevents Cardiac Hypertrophy in HFHS‐Fed Mice

As expected,4 LV weight, wall thickness, and LV mass were increased in HFHS‐fed mice (Figure 2A through 2C), and were prevented by ertugliflozin treatment. LV end‐diastolic dimension, end‐systolic dimension, and fractional shortening were not affected by HFHS feeding or ertugliflozin treatment (Figure S2). In HFHS‐fed mice, the transmitral flow velocity Doppler‐measured E/A ratio and the tissue Doppler‐measured myocardial relaxation rate Em were decreased (Figure 2D and 2E), indicative of diastolic dysfunction. Likewise, the ratio of the transmitral Doppler E wave to the tissue Doppler relaxation rate (E/Em) was elevated (Figure 2F), indicative of left atrial pressure elevation. E/A, Em, and E/Em were all normalized by ertugliflozin treatment.

Figure 2. Ertugliflozin (ERTU) prevents left ventricular (LV) hypertrophy and diastolic dysfunction in high‐fat, high‐sucrose (HFHS)–fed mice.

Figure 2

Mice fed an HFHS diet for 4 months developed LV hypertrophy and diastolic dysfunction, both of which were prevented by concomitant ERTU treatment. Shown are LV wet weight relative to tibia length (A), total LV wall thickness measured by echocardiography (B), LV mass derived from echocardiographic measurements (C), transmitral flow velocity E/A ratio measured by Doppler echocardiography (D), velocity of tissue relaxation (Em) measured by tissue Doppler echocardiography (E), and the ratio of E/Em, an index of left atrial pressure (F) (**P<0.01, ***P<0.001 vs control diet [CD]; # P<0.05, ## P<0.01, ### P<0.001 vs HFHS; 1‐way ANOVA with Bonferroni correction for all, except D and F, in which Kruskal‐Wallis with Dunn correction was performed; data presented as mean±SEM). For A, n=12/group; for B through F, n=25/group.

Cardiac myocyte size, assessed as cross‐sectional area, was markedly increased in HFHS‐fed mice, and the increase was prevented by ertugliflozin treatment (Figure S3A and S3B). Interstitial fibrosis, assessed by Picrosirius staining, was increased in HFHS‐fed mice, and the increase was prevented by ertugliflozin (Figure S3C and S3D).

Ertugliflozin Prevents Cardiac Mitochondrial Dysfunction and Attenuates Oxidative Stress in HFHS‐Fed Mice

As we have previously reported,5, 26 HFHS feeding led to an increase in the rate of hydrogen peroxide released from freshly isolated cardiac mitochondria (Figure 3A) and a decrease in the maximal rate of ATP synthesis (Figure 3B). Ertugliflozin treatment both prevented the increase in hydrogen peroxide release and preserved maximal ATP production. Histological staining was performed to assess the level of 4‐hydroxynonenal adducts, which are reflective of myocardial oxidative stress. HFHS feeding increased the level of 4‐hydroxynonenal adducts, and the increase was inhibited by ertugliflozin treatment (Figure 3C and 3D).

Figure 3. Ertugliflozin (ERTU) prevents mitochondrial dysfunction and myocardial oxidative stress in high‐fat, high‐sucrose (HFHS)–fed mice.

Figure 3

H2O2 release was increased (A) and ATP production was decreased (B) in cardiac mitochondria isolated from mice fed HFHS or control (CD) diet for 4 months, and both were prevented by ERTU treatment. Myocardial oxidative stress was assessed by immunohistochemical staining for 4‐hydroxynonenal (4‐HNE). C, Representative images of 4‐HNE staining. D, Mean scoring for 4‐HNE staining, 10 random fields per heart, bar=20 μm (*P<0.05, ***P<0.001 vs CD; # P<0.05, ## P<0.01; Kruskal‐Wallis with Dunn correction for A and B and 1‐way ANOVA with Bonferroni correction for D; data presented as mean±SEM). For A and B, n=12/group; for D, n=3/group.

Ertugliflozin Improves Contractile and Energetic Function in CD‐ and HFHS‐Fed Mice

Contractile function and high‐energy phosphates were measured simultaneously in beating hearts at baseline and with increased work demand. With high work demand (Peak), LV end‐diastolic pressure increased more in HFHS (versus CD) hearts, and the increase was prevented in hearts from ertugliflozin‐treated mice (Table 1).

Table 1.

Isolated Beating Heart Function and Energetics

Variable CD (n=6) Ertugliflozin CD (n=6) HFHS (n=9) Ertugliflozin HFHS (n=9)
Baseline Peak Baseline Peak Baseline Peak Baseline Peak
EDP, mm Hg 9.1±0.4 9.5±0.3 9.2±0.5 10.5±0.7 9.6±0.3 15.1±1.7 9.6±0.3 11.9±0.9§
Systolic pressure, mm Hg 104±6 116±5 128±9 144±8 93±3 89±7 110±4 144±11
Developed pressure, mm Hg 95±6 107±5 119±9 133±8* 84±3 74±7* 101±4 132±11
RPP (103 mm Hg/min) 42.7±2.6 63.9±3.1 53.5±4.1 79.8±4.8* 37.6±1.4 44.2±4.0* 45.2±1.6 78.9±6.5
Phosphocreatine/ATP 2.07±0.16 1.57±0.11 1.78±0.21 1.50±0.07 1.37±0.09 1.21±0.1* 1.66±0.06§ 1.47±0.05§

Contractile function and high‐energy phosphates (31P nuclear magnetic resonance spectroscopy) were measured simultaneously in isolated retrograde‐perfused Langendorff hearts. At baseline, hearts were paced at 450 beats per minute and perfused with 2 mmol/L CaCl2. At high workload (Peak), hearts were paced at 600 beats per minute and perfused with 4 mmol/L CaCl2 (2‐way ANOVA with Bonferroni correction; data presented as mean±SEM). CD indicates control diet; EDP, end‐diastolic pressure; HFHS, high fat, high sucrose; and RPP, rate pressure product.

*P<0.05, P<0.001 vs CD at corresponding workload.

§P<0.05, P<0.001 vs HFHS at corresponding workload.

The RPP, which reflects cardiac contractile reserve, increased with high work demand in CD hearts, but failed to increase in HFHS hearts (Table 1 and Figure 4), indicating lower contractile reserve. Ertugliflozin increased contractile reserve in both CD and HFHS hearts to an RPP exceeding that in control CD hearts by 25±1.9% and 24±2.3%, respectively.

Figure 4. Effect of ertugliflozin (ERTU) on myocardial high‐energy phosphates relative to cardiac reserve.

Figure 4

Phosphocreatine (PCr) and ATP were measured by 31P nuclear magnetic resonance simultaneously with contractile function in isolated beating hearts while increasing work demand by raising the pacing rate and the concentration of calcium in the perfusate. Contractile reserve was assessed as the change in rate×pressure product (RPP) with increased work demand. A, With increased work demand, hearts from control diet (CD)–fed mice treated with ERTU for 4 months (solid line) achieved a higher RPP without a decrease in PCr/ATP, compared with hearts from mice not treated with ERTU (dashed line). B, Hearts from high‐fat, high‐sucrose (HFHS)–fed mice (dashed line) had a lower PCr/ATP at baseline and were unable to increase RPP with increased work demand. In hearts from mice treated with ERTU for 4 months (solid line), RPP and PCr/ATP were increased with high work demand (*P<0.05, ***P<0.001 vs untreated at corresponding workload; 2‐way ANOVA with Bonferroni correction, see also Table 1; data presented as mean±SEM). In A, n=6/group for CD and ERTU/CD; in B, n=9/group for HFHS and ERTU/HFHS.

As expected, the concentration of phosphocreatine/ATP was decreased in HFHS versus CD hearts both at baseline and with high work demand (Table 1 and Figure 4). In HFHS hearts, ertugliflozin treatment increased phosphocreatine/ATP at both low and high work demand (Figure 4B). In contrast, although ertugliflozin increased contractile reserve in CD hearts, this increase was not accompanied by an increase in phosphocreatine/ATP at low or high work demand (Figure 4A).

Myocardial ATP concentration was not affected by HFHS diet or ertugliflozin treatment, and remained stable throughout the protocol (Table S1). Intracellular inorganic phosphate was higher in HFHS hearts, and was corrected by ertugliflozin treatment (Table S1). Intracellular pH trended lower in HFHS hearts at high workload (P=0.10) and was normalized by ertugliflozin treatment (Table S1).

Effects of HFHS Diet and Ertugliflozin Treatment on Myocardial Gene Expression

Myocardial mRNA was subjected to next‐generation sequencing and analyzed initially using the GO platform to identify sets of genes related to well‐defined biologic processes. There was significant (false discovery rate–corrected P value <0.25) positive or negative enrichment of 1418 GO gene sets. Of these, the 20 gene sets most enriched by ertugliflozin based on normalized enrichment scores (NESs), all were positively enriched and related to mitochondrial structure and/or function (eg, cellular respiration, oxidative phosphorylation [OXPHOS], electron transport chain, and fatty acid β oxidation) (Table 2).

Table 2.

GO Terms Most Enriched by Ertugliflozin Treatment

Gene Set Name Gene Set Size Effect of Ertugliflozin Treatment
NES P Value FDRq
GO inner mitochondria membrane protein complex 95 3.29 <0.001 <0.001
GO mitochondrial protein complex 124 3.27 <0.001 <0.001
GO cellular respiration 130 3.25 <0.001 <0.001
GO organelle inner membrane 479 3.24 <0.001 <0.001
GO mitochondrial membrane part 154 3.23 <0.001 <0.001
GO oxidative phosphorylation 73 3.22 <0.001 <0.001
GO respiratory chain 70 3.15 <0.001 <0.001
GO electron transport chain 83 3.11 <0.001 <0.001
GO mitochondrial matrix 392 3.09 <0.001 <0.001
GO mitochondrial respiratory chain complex assembly 71 3.05 <0.001 <0.001
GO mitochondrial respiratory chain complex I biogenesis 51 3.02 <0.001 <0.001
GO oxidoreductase complex 87 3.02 <0.001 <0.001
GO energy derivation by oxidation of organic compounds 193 2.978 <0.001 <0.001
GO NADH dehydrogenase complex 38 2.93 <0.001 <0.001
GO aerobic respiration 50 2.91 <0.001 <0.001
GO generation of precursor metabolites and energy 261 2.89 <0.001 <0.001
GO fatty acid β oxidation 51 2.88 <0.001 <0.001
GO lipid oxidation 70 2.83 <0.001 <0.001
GO oxidoreductase activity acting on NADP H quinone or similar compound as acceptor 44 2.83 <0.001 <0.001
GO fatty acid catabolic process 73 2.80 <0.001 <0.001

Of the 20 most enriched GO terms by ertugliflozin while controlling for diet, all were upregulated and related to mitochondrial structure and/or function. Gene set size represents the number of genes within a gene set that coincide with the ranked list. Nominal P values and FDRq are computed from the NES based on 1000 random permutations, and therefore are presented as <0.001. For details of statistical analysis, please refer to “RNA Isolation, RNA Sequencing, and Sequencing Analysis” in Methods section. FDRq indicates false discovery rate–corrected P value; GO, Gene Ontology; and NES, normalized enrichment score.

The next level of analysis was performed using Hallmark GSEA, a distilled collection of genes from multiple subcollections of the Molecular Signatures Database that streamlines specific biological states or processes.25 When analyzed by diet effect while controlling for ertugliflozin treatment, the highest‐ranking Hallmark gene set (Table S2) was for OXPHOS, which was negatively enriched by HFHS diet, with an NES of −2.42 (Figure 5A); for corresponding enrichment plot, see Figure S4A; for full‐size image, see Figure S5. When analyzed by ertugliflozin treatment while controlling for diet, the OXPHOS gene set was also the highest‐ranking gene set (3.71 NES), but was positively enriched (Figure 5B and Figures S4B and S6). When analyzed only in HFHS‐fed mice, ertugliflozin enriched the OXPHOS gene set by 3.32 NES (Figure 5C and Figures S4C and S7), indicating that ertugliflozin prevented the negative effect of diet on OXPHOS. Of note, when analyzed only in CD‐fed hearts, the effect of ertugliflozin treatment on the OXPHOS gene set was equivalent to that observed in HFHS hearts (3.34 NES) (Figure 5D and Figures S4D and S8), further indicating that the effect of ertugliflozin is not dependent on diet.

Figure 5. Ertugliflozin (ERTU) treatment upregulates myocardial genes for oxidative phosphorylation (OXPHOS).

Figure 5

Myocardial gene expression was assessed by mRNA sequencing with Gene Set Enrichment Analysis (GSEA). Of the 20 most enriched Gene Ontogeny gene sets, all were positively enriched and related to mitochondrial structure and/or function (Table 2). By Hallmark GSEA, the most enriched gene set for ERTU treatment effect was for OXPHOS (Table S2). A, The OXPHOS gene set was downregulated in high‐fat, high‐sucrose (HFHS)–fed hearts. B, When analyzed for ERTU effect across all treatment groups, OXPHOS was markedly positively enriched. Likewise, OXPHOS was highly positively enriched and to a similar degree when analyzed only in HFHS hearts (C) or control diet (CD) hearts (D). For full‐size images of each panel, please see Figures S6 through S9. The scale bar represents the z‐scores of the expression values (ie, the number of SDs from the mean of each row), with the maximum and minimum z‐scores set to 2 (red) and −2 (blue), respectively (n=4/group). For statistical analysis, please refer to “RNA Isolation, RNA Sequencing, and Sequencing Analysis” in Methods section. FDRq indicates false discovery rate–corrected P value; and NES, normalized enrichment score.

The second highest‐ranking Hallmark GSEA enriched by ertugliflozin treatment was for fatty acid metabolism (FAM). As expected, HFHS diet (while controlling for ertugliflozin treatment) led to an induction of genes related to FAM with an NES of 1.97 (Figure 6A; for corresponding enrichment plot, see Figure S9A; for full‐size image, see Figure S10). Of note, ertugliflozin treatment led to positive enrichment of FAM genes across all treatment groups while correcting for diet (2.82 NES) (Figure 6B and Figures S9B and S11), in HFHS‐fed mice alone (2.57 NES) (Figure 6C and Figures S9C and S12), and in CD‐fed mice alone (2.42 NES) (Figure 6D and Figures S9D and S13). Thus, as for OXPHOS genes, upregulation of the FAM gene set by ertugliflozin is not dependent on diet.

Figure 6. Ertugliflozin (ERTU) treatment upregulates myocardial genes for fatty acid metabolism (FAM).

Figure 6

The second highest Hallmark gene for ERTU effect was for FAM (Table S2). A, The FAM gene set was upregulated in high‐fat, high‐sucrose (HFHS) hearts. As with oxidative phosphorylation, the FAM gene set was upregulated by ERTU when analyzed across all groups (B), or only in HFHS hearts (C) or control diet (CD) hearts (D). For full‐size images of each panel, please see Figures S10 through S13. The scale bar represents the z‐scores of the expression values (ie, the number of SDs from the mean of each row), with the maximum and minimum z‐scores set to 2 (red) and −2 (blue), respectively (n=4/group; statistical analysis as per Figure 5). FDRq indicates false discovery rate–corrected P value; and NES, normalized enrichment score.

Discussion

The goal of this study was to assess the effects of SGLT2 inhibition on cardiac mitochondrial function, both in mice with obesity‐related diabetes mellitus and in control mice without diabetes mellitus. In diabetic mice, treatment for 4 months normalized systemic glucose and insulin levels, and had beneficial effects on the myocardial hallmarks of DCMP, including LV hypertrophy, myocyte hypertrophy, myocardial interstitial fibrosis, and diastolic dysfunction. These effects of ertugliflozin on cardiac phenotype were associated with prevention of mitochondrial dysfunction, preserved ATP production, and a decrease in ROS generation. Assessment of energetics by simultaneous measurement of contractile performance and high‐energy phosphates in the beating heart showed that ertugliflozin increased contractile reserve at high work demand without decreasing phosphocreatine/ATP, and that this effect was independent of diabetes mellitus. Gene expression profiling confirmed that the most prominent effect of ertugliflozin was positive enrichment of gene sets related to OXPHOS and FAM, and, like the effect on energetics, this effect of ertugliflozin was independent of diabetes mellitus.

Systemic Metabolic Effects of Therapy

Ertugliflozin administration to HFHS‐fed mice prevented the systemic metabolic consequences of diabetes mellitus, as evidenced by normalization of fasting glucose, fasting insulin, homeostasis model assessment of insulin resistance, and hemoglobin A1c. Ertugliflozin therapy had no effect on calorie consumption in HFHS‐ or CD‐fed mice, but led to less weight gain over the study in both, presumably reflecting increased excretion of glucose in the urine. These effects of ertugliflozin in diabetic mice were expected,27, 28, 29, 30 and indicate that the ertugliflozin treatment regimen used in this study achieved effective drug levels.

Ertugliflozin Prevents DCMP

Ertugliflozin corrected the cardiac phenotype in the HFHS‐fed mice. Hallmarks of obesity‐related DCMP in both patients and mice include LV hypertrophy, interstitial fibrosis, and diastolic dysfunction.1, 2, 4, 5, 6, 31 Ertugliflozin treatment prevented the development of LV hypertrophy and interstitial fibrosis, and likewise, prevented diastolic dysfunction both in vivo, as assessed by Doppler echocardiography, and in isolated beating hearts of HFHS‐fed mice. Other studies have shown a comparable beneficial effect of SGLT2 inhibition on cardiac phenotype in models of diabetes mellitus.32, 33, 34 Although we cannot exclude the possibility that the improvements in cardiac structure and function observed in our study are attributable, at least in part, to correction of the metabolic milieu, the magnitude of these effects is larger than would be expected. For example, in patients with type 2 diabetes mellitus, intensive glycemic control has been shown to improve diastolic dysfunction in some,35 but not other,36 studies.

Ertugliflozin Prevents Mitochondrial Dysfunction and Supernormalizes Contractile Function in HFHS‐Fed Mice

Mitochondrial dysfunction is a hallmark of DCMP,37 as reflected by decreased high‐energy phosphate stores in hearts from patients with obesity‐related diabetic cardiomyopathy.6, 38 Likewise, in mice with DCMP attributable to an HFHS diet, we previously demonstrated decreased mitochondrial ATP synthesis and increased ROS production, resulting in decreased high‐energy phosphate stores and contractile reserve in beating hearts.17, 26 In mitochondria isolated from HFHS‐fed mice, ertugliflozin treatment both preserved maximal stimulated ATP production and prevented the increase in mitochondrial ROS release. Congruent with the observed decrease in mitochondrial ROS release, ertugliflozin decreased myocardial 4‐hydroxynonenal content, a marker of lipid peroxidation and oxidative stress.

Increased mitochondrial ROS production is central to the pathophysiological characteristics of myocardial hypertrophy and interstitial fibrosis in DCMP5, 18 and may contribute to further mitochondrial dysfunction by causing maladaptive oxidative modifications of mitochondrial proteins.26 In HFHS‐fed mice, overexpression of the antioxidant catalase selectively in mitochondria led to marked amelioration of the cardiac phenotype, correction of mitochondrial ATP production, and improvement in cardiac energetic performance.5, 18 Although SGLT2 inhibition has been shown to decrease myocardial oxidative stress levels in diabetic models,29, 30, 39, 40 prior studies have not evaluated the effects on mitochondrial ROS and ATP generation.

To determine the physiologic importance of improved mitochondrial function, myocardial contractile performance and high‐energy phosphates were measured simultaneously in isolated beating hearts under conditions of low and high work demand. In HFHS hearts, the ability to increase contractile reserve (ie, RPP) in response to high work demand was markedly impaired, in association with a depression in phosphocreatine/ATP. Ertugliflozin normalized phosphocreatine/ATP at high work demand and supernormalized RPP to a level 25% higher than in untreated mice on control diet (Figure 4B and Table 1). These observations suggest that the improvement in function observed in isolated mitochondria from ertugliflozin‐treated mice is associated with improved energetic performance in the beating heart. This conclusion is consistent with that of Verma et al,14 who showed that SGLT2 inhibition increased myocardial substrate use and the imputed rate of ATP production in db/db mice.

Ertugliflozin Improves Myocardial Performance in Nondiabetic Control Hearts

An unexpected finding in this study was an increase in cardiac performance in ertugliflozin‐treated control mice (ie, CD fed), as reflected by a supernormalization in RPP at high work demand to a level ≈24% higher than in untreated control mice (Figure 4A and Table 1). Despite the increase in peak performance, peak phosphocreatine/ATP was not decreased, suggesting an improvement in energy balance between supply and demand.

SGLT2 inhibition has not previously been shown to improve energetic function in normal hearts, as prior studies that assessed the energetic effects of SGLT2 inhibition did not include drug‐treated control mice.14, 15 Although our methods do not allow conclusions on the mechanism responsible for improved energy balance, the most likely possibilities are an increase in ATP production14 and/or an increase in contractile efficiency.15 As discussed below, we observed that ertugliflozin treatment in both diabetic (HFHS) and nondiabetic (CD) mice was associated with transcriptomic evidence for metabolic remodeling that is reasonably expected to increase both OXPHOS and FAM, and hence, the production of ATP.

Ertugliflozin Upregulates Cardiac OXPHOS and FAM Pathways in Both Diabetic and Nondiabetic Mice

As expected, in HFHS hearts, myocardial gene expression profiling by RNA sequencing–derived GSEA revealed a marked downregulation of genes involved in OXPHOS (Figure 5A). To assess the effect of ertugliflozin treatment, per se, we first analyzed GO gene sets. Of the top 20 GO gene sets that were enriched by ertugliflozin, all were related to mitochondrial structure and/or function, with compelling NES values ranging from 2.71 to 3.25.

The next level of analysis used Hallmark gene sets, which provide a streamlined analysis approach that removes redundancies that tend to befall GO gene sets. The Hallmark GSEA revealed OXPHOS to be the top‐scoring gene set for the effect of ertugliflozin. When the effect of ertugliflozin treatment was determined while controlling for diet across all groups, ertugliflozin had an NES of 3.71 (Figure 5B). Likewise, when the effect of ertugliflozin was assessed only in CD‐fed control mice, a similarly high NES (3.34) was obtained (Figure 5D). This observation indicates that ertugliflozin treatment has a marked positive effect on the expression of genes involved in the regulation of OXPHOS, and that this effect is independent of diabetic status. Notably, the second highest scoring Hallmark gene set for ertugliflozin treatment was FAM, which, like OXPHOS, was independent of diabetic status (Figure 6B and 6D). Taken together, these observations suggest that reprogramming of metabolic genes that favor OXPHOS and FAM may, at least in part, be responsible for the beneficial effects of ertugliflozin on energetics and contractile reserve, regardless of diabetic status.

Ertugliflozin treatment also led to a marked enrichment in the GO gene set for the fatty acid β oxidation gene set (NES, 2.88), which was among the top 20 GO gene sets enriched by ertugliflozin (Table 2). Prior studies have suggested that preserving fatty acid oxidation (FAO) prevents the decline in myocardial function and energetics in response to pressure‐overload hypertrophy,41 and prevents the shift in substrate use to glucose and the associated increase in aspartate‐mediated cardiac hypertrophy.42 Thus, the ability of ertugliflozin to promote FAO may contribute to the beneficial effects on myocardial function, hypertrophy, and energetics that were observed in this study. In the diabetic heart, insulin resistance and an excess of fatty acid abundance are thought to promote increased FAO and excessive mitochondrial generation of ROS,37, 43 which contribute to pathological remodeling. It is therefore noteworthy that in HFHS hearts, ertugliflozin further increased the expression of genes related to FAO, but suppressed mitochondrial ROS generation.

Limitations

This study does not identify the mechanism by which ertugliflozin caused reprogramming of metabolic genes in the heart. In this regard, it is of interest that in liver and fat, SGLT2 inhibition modulates nutrient levels, leading to activation of AMP kinase and nuclear reprogramming that favors FAO.44 Furthermore, sodium has recently been implicated in modulating cardiac metabolic reprogramming45 and in this context it is noteworthy that SGLT2 inhibitors have been shown to lower cardiomyocyte sodium,46, 47 although this remains controversial.48

Our finding that ertugliflozin caused both a supernormalization of cardiac performance and a striking enrichment of gene sets that encode mitochondrial proteins involved in OXPHOS and FAM suggest that the beneficial effects of SGLT2 inhibition are mediated, at least in part, at the transcriptional level. A fundamental question not addressed by our study is how SGLT2 inhibition leads to increased transcription of genes encoding mitochondrial proteins. An intriguing possibility is that ertugliflozin acts directly, or indirectly, on cardiac mitochondria in a way that affects signaling between the mitochondria and the nucleus.44, 49, 50

The absence of fatty acids in the perfusate for the isolated beating heart studies is a potential limitation. However, because most fatty acids cycle through the endogenous triglyceride pool before being oxidized in mitochondria, the endogenous triglyceride pool is able to support stable cardiac function for at least 2 hours in the absence of fatty acids in the perfusate.51 To minimize this potential effect, the duration of the perfusion protocol was limited to 32 minutes.

Conclusions

This study has implications for the use of SGLT2 inhibitors in the treatment of myocardial disease, in the presence or absence of diabetes mellitus. In obesity‐related diabetes mellitus, ertugliflozin prevents mitochondrial dysfunction, leading to both a correction of ATP production and myocardial energetics and a decrease in the generation of pathologic levels of ROS that mediate myocardial structural and functional remodeling. Our findings further suggest that, both in the presence and absence of diabetes mellitus, SGLT2 inhibition leads to improved myocardial energetics and the coordinated expression of genes that would be expected to lead to increases in both OXPHOS and the use of fatty acids as fuel. Taken together, our findings suggest that metabolic reprogramming, leading to increased FAO and improved mitochondrial function, plays a central role in mediating the beneficial effects of SGLT2 inhibition on myocardial performance. Although data on the effects of other SGLT2 inhibitors on cardiac mitochondrial function and metabolic gene expression are limited, beneficial effects of empagliflozin on cardiac metabolism in both diabetic14 and nondiabetic15 animals suggest that the effects observed with ertugliflozin are shared by other SGLT2 inhibitors. These findings further suggest that therapies directed at improving mitochondrial function may be of value in the therapy of heart failure that is associated with mitochondrial dysfunction.50

Sources of Funding

This work was supported by an investigator‐initiated grant (IISP‐57335) from Merck Pharmaceuticals (Dr Colucci); National Institutes of Health grants HL‐064750 (Dr Colucci) and K08‐HL‐123744 (Dr Panagia); and a Fellow‐to‐Faculty Award from the American Heart Association 15FTF25890062 (Dr Luptak).

Disclosures

Dr Colucci is supported by an investigator‐initiated grant (IISP‐57335) from Merck Pharmaceuticals. The remaining authors have no disclosures to report.

Supporting information

Tables S1–S2

Figures S1–S13

Acknowledgments

We would like to acknowledge the Microarray and Sequencing Resource Core and the Analytical Instrumentational Core Facilities at Boston University for providing expertise, instrumentation, and analysis crucial to generation of data in this work.

(J Am Heart Assoc. 2021;10:e019995. DOI: 10.1161/JAHA.120.019995.)

Supplementary Material for this article is available at https://www.ahajournals.org/doi/suppl/10.1161/JAHA.120.019995

For Sources of Funding and Disclosures, see page 13.

See Editorial by Sawicki et al.

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Associated Data

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Supplementary Materials

Tables S1–S2

Figures S1–S13


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