Abstract
Background
The Nile rat (Arvicanthis niloticus) is an emerging laboratory model of type 2 diabetes. When fed standard rodent chow, the majority of males progress from hyperinsulinemia by 2 months to hyperglycemia by 6 months, while most females remain at the hyperinsulinemia-only stage (prediabetic) from 2 months onward. Since diabetic cardiomyopathy is the major cause of type-2 diabetes mellitus (T2DM)-related mortality, we examined whether sexual dimorphism might entail cardiac functional changes. Our ultimate goal was to isolate the effect of diet as a modifiable lifestyle factor.
Materials and methods
Nile rats were fed either standard rodent chow (Chow group) or a high-fiber diet previously established to prevent type 2 diabetes (Fiber group). Cardiac function was determined with echocardiography at 12 months of age. To isolate the effect of diet alone, only the small subset of animals resistant to both hyperinsulinemia and hyperglycemia were included in this study.
Results
In males, Chow (compared to Fiber) was associated with elevated heart rate and mitral E/A velocity ratio, and with lower e’-wave velocity, isovolumetric relaxation time, and ejection time. Of note, these clinically atypical types of diastolic dysfunction occurred independently of body weight. In contrast, females did not exhibit changes in cardiovascular function between diets.
Conclusions
The higher prevalence of T2DM in males correlates with their susceptibility to develop subtle diastolic cardiac dysfunction when fed a Western style diet (throughout most of their lifespan) despite no systemic evidence of metabolic syndrome, let alone T2DM.
Introduction
Type 2 diabetes (T2DM) is facing a worldwide epidemic with more than 422 million affected, and a persistent increasing trend [1]. The evolution of the most deadly T2DM complication, cardiomyopathy, still eludes us [2]. A major hurdle to research efforts has been that animal models typically entail either gene modifications, chemical treatment (ex. streptozotocin or alloxan injections), or acute dietary induction (ex. high sugar/fat feeding) [3]. These models fail to mimic the prolonged and sustained chronic complex physiological events that, compounded with age, insidiously culminate to detectable T2DM in human.
The Nile rat, Arvicanthis niloticus, is a promising laboratory model typified by an interplay of genetic and dietary factors that together lead to slow and progressive T2DM development with similar complications as observed in human [4–6]. In contrast to most rodents, which are more resistant than human to diabetes under ad libitum access to Westernized diets [7], this species is not [6]. Nile rats fed standard laboratory rodent diet develop T2DM over the course of a year. Such slow progression overlaps with aging, a well-established risk and compounding factor in T2DM and cardiovascular diseases [8]. Diabetic cardiovascular complications include accelerated atherosclerosis, systolic and diastolic dysfunction, left ventricular hypertrophy, atrial fibrosis and fibrillation, heart failure, and increased post myocardial infarction fatality [2]. When T2DM is superimposed with aging, these complications develop on average 14.6 years faster [9] and with greater severity [10].
The strong sexual dimorphism with regard to T2DM development (affecting predominantly males) offers the added opportunity of addressing sex-related differences in disease progression. In human, the prevalence of diagnosed cases in adults is similar between men and females (9.4% versus 8.9%, respectively), although undiagnosed cases are more frequent in males (3.8%) than females (2.3%), particularly so for hyperinsulinemia (40.2% in males and 27.8% in females) [11]. Furthermore, disease-related mortality rate in males (54.2%) exceeds that of females (45.8%) [11]. Male Nile rats fed standard laboratory rodent chow spontaneously exhibit pathological markers of metabolic syndrome and protracted T2DM [5, 6, 12]. Most males undergo insulin resistance and hyperinsulinemia by 2 months and hyperglycemia by 6 months. In contrast, the majority of females remain prediabetic from 2 months onward [6]. Feeding ad libitum high-fiber low-fat diet effectively prevents hyperglycemia and associated complications in both male and female Nile rats, throughout their 18–24 months lifespan [6].
To validate the Nile rat as a model of T2DM-induced cardiovascular complications, we firstly sought to document baseline cardiac function in a clinically analogous manner. Taking into account the well-documented diet and sexual dimorphism in this species, baseline echocardiography parameters were defined in relation to sex and nutritional statuses. Whereas most male Nile rats are diabetic at 12 months [6], our study relied on the less than 20% minority that had normal blood insulin and glucose levels in order to isolate the direct contribution of diet (a modifiable lifestyle factor) on male versus female cardiac function. Of note, animals selected for this study had similar body weight within each sex groups, which excluded the potential contribution of obesity, a well-established risk factor for T2DM and cardiovascular diseases [13]. Finally, these conditions precluded that any preventative effects of dietary fibers on cardiovascular dysfunctions might be indirectly mediated via changes in body weight [14].
Materials and methods
Animals
Male Nile grass rats (Arvicanthis niloticus) were obtained from a colony at the animal facility of the University of Alberta, which was started in 2006 with breeders generously provided by Dr. Laura Smale from her own colony at Michigan State University (supported by a grant from the National Institute for Mental Health). Animals were maintained on a 14:10 h light-dark cycle, at 21±2°C room temperature and ~40% relative humidity. After weaning at 21–23 days, animals were divided into two dietary groups: 1) Fiber group, fed Mazuri Chinchilla (5M01, Purina Mills, LLC, St. Louis, MO, USA; 4.0% fat, 15.3% fibers, 21.6% protein); 2) Chow group fed Prolab (RMH 2000, 5P06, LabDiet, Nutrition Intl., Richmond, IN, USA; 9.6% fat, 3.2% fibers, 19.9% protein). With the only exception of fasted blood glucose measures done at 12 hours fasting, animals had ad libitum access to food and water. The University of Alberta Institutional Animal Care and Use Committee approved this study (protocol 328). In addition, all experiments were undertaken in accordance with and the NIH (USA) guidelines regarding the care and use of animals for experimental procedures.
Echocardiography
Echocardiography was performed at 12 months by adapting a procedure originally developed for rats [15]; see protocols.io (identifier: dx.doi.org/10.17504/protocols.io.u83ezyn). In brief, following mild anesthesia with isoflurane delivered through a nosecone (VEVO Compact Anesthesia system), animals were sedated with 3% isoflurane and maintained under anesthesia using 2% isoflurane, throughout the procedure (~30 min) while monitoring ECG, heart rate (S1 File), and respiratory rate. Body temperature was kept at 37°C (measured rectally) using a warmed platform (VisualSonics). Cardiac parameters were imaged using the Vevo 770 High-Resolution In-Vivo Micro-Imaging System (Fujifilm VisualSonics Inc.) and a 17.5 MHz Scanhead probe to achieve high-frequency ultrasound imaging. The upper anterior chest (superior to the zyphoid process) was shaved and fine hairs were removed using Nair depilatory cream. Warmed ultrasound gel was liberally applied immediately prior to imaging. Ventricular dimensions were measured using M-mode transthoracic echocardiography at the papillary muscles level, during a minimum of 3 continuous cardiac cycles (S1 Fig). The following three M-mode-wall measurements were recorded at both end-diastole and end-systole: left ventricular internal diameters (LVID), intraventricular septal wall thickness (IVS), and left ventricular posterior wall thickness (LVPW). Thereafter, the ejection fraction (EF) and fractional shortening (FS) were obtained with the following formulas:
Where LVEDV and LVESV represent the left ventricular end diastolic volume and end systolic volume, respectively.
Left ventricular mass was also calculated from M-mode images according to the uncorrected cube function formula:
Where 1.053 is the specific gravity of the myocardium.
Measures of aortic ejection time (ET) from these waveforms allowed determining the myocardial performance index (TEI index) as followed:
Pulse wave Doppler of the mitral E-wave and A-wave velocities were taken from the four chambers view (S2 Fig), and used to assess diastolic function parameters including isovolumetric relaxation time (IVRT) and isovolumetric contraction time (IVCT), E/A, deceleration time of E-wave. Finally, septal valve annular velocities, e’ and a’ were determined by tissue Doppler imaging from the apical four chamber view (S3 Fig).
Metabolic phenotype
Just prior to euthanasia (intra-peritoneal injection of a lethal dose, 480 mg kg-1, of pentobarbital sodium; Euthanyl Bimeda-MTC Animal Health Inc., Cambridge, ON, Canada), fasting blood glucose (FBG; after 16–18 hours fasting) levels were assessed as and plasma samples collected for insulin measures, as described previously [16]
FBG > 5.0 mmol l-1 reflected hyperglycemia [6]. Following euthanasia, animals were weighted and measured.
Data analysis
Statistical analyses were performed with SigmaPlot 14 (Systat Sofware Inc., San Jose, CA, USA). Graphics were produced using GraphPad Prism 7 (GraphPad Software, Inc., La Jolla California). The echocardiography data were analyzed using a two-way anova with diet and sex as the two factors. Criteria of normality and homogeneity of variance for ANOVA were tested for each variable using Kolmogorov-Smirnov (Lilliefor’s correction) and Brow-Forsythe tests, respectively. Data are presented as median (min-max) without transformation, where N is the number of animals. Significance was set at p<0.05, using two-tails comparisons.
Results
Body weight and FBG level
In order to study cardiac function independently of the effect of obesity [17], hyperinsulinemia [18] and high-glycemic load [19], we selected animals within each sex group that had similar body weight as well as normal insulin and FBG levels (Fig 1). Only one male in the Chow group had borderline high FBG value (6.4 mmol l-1, compared with 5.6 mmol l-1 threshold).
Cardiac morphometry
While unaffected by diet, the left ventricular mass was inferior in lower weight animals (females) compared to males (p = 0.016; Fig 2A). There were no differences in the left ventricular internal diameter (Fig 2B and 2C), the left ventricular posterior wall thickness (Fig 2D and 2E), or the interventricular septum wall thickness (Fig 2F and 2G). Overall, the morphometric results rule out any effects of diet or sex on concentric left ventricular hypertrophy or asymmetrical septal hypertrophy [20].
Systolic function
Left ventricular systolic performance is an indicator of heart disease severity and is therefore used as a predictor of morbidity and mortality [20]. Despite similarities in body weight and FBG between dietary groups, heart rate was faster in males from the Chow compared to Fiber group (p = 0.004; Fig 3A). For the Fiber group, males had lower heart rates than females (p = 0.028; Fig 3A). This sexual dimorphism was not observed in the Chow group (Fig 3A). The main indicators of systolic function were not affected by either diet or sex; these included stroke volume (Fig 3B), cardiac output (Fig 3C), ejection fraction (Fig 3D), and fractional shortening (Fig 3E). Only one parameter was affected by diet, and in females only: the systolic velocity at the mitral annulus (s’) was slower with the Fiber compared to the Chow group (S1 Table; p = 0.011). Of note, the Nile rat's chest has a unique barrel-like shape that represents a challenge when attempting to obtain accurate measurements related to the left ventricle. As such, systolic velocity findings should be interpreted with caution.
Diastolic function
Left ventricular diastolic dysfunction is an important factor to consider in heart failure [20, 21]. In this context, it is a strong generic predictor of mortality, independently of systolic functional status [22]. Mitral inflow and tissue Doppler images were used to investigate potential diastolic dysfunction (Fig 4). Pulse waves Doppler of the mitral E-wave (Fig 4A) and A-wave (Fig 4B) velocities did not vary between dietary groups. In contrast, diet exerted an effect on the E/A ratio with higher values in both sexes from the Chow compared to Fiber group (Fig 4C; p = 0.045).
Diastolic function was further assessed by measuring IVRT, IVCT, E-wave deceleration time and ejection time. In males, IVRT was of shorter duration in the Chow compared with the Fiber group (Fig 4D; p = 0.016). Within the Chow group, IVRT was also reduced when compared with females (p<0.001; Fig 4D). These results point to restrictive filling in Chow males. In contrast, IVCT (Fig 4E) and deceleration time (S1 Table) did not vary between sexes (p = 0.370 and p = 0.657, respectively) or dietary groups (p = 0.154 and p = 0.731, respectively). Ejection time in males was shorter in the Fiber compared to the Chow group (p = 0.001; Fig 4F), which could be explained, at least in part, by the inverse correlation between heart rate and ejection time [23, 24].
Tissue Doppler imaging from the apical 4-chamber view was used to measure mitral tissue septal annulus velocities, e’ and a’, which reflect tissue movement at the septal valve leaflet. In males, e’-wave velocity was slower in the Chow compared to the Fiber group (Fig 4G; p = 0.007), while a’-wave values were unchanged (Fig 4H), yielding to reduced e’/a’ ratios (Fig 4I). In females, diet did not exert an effect on parameters e’ or a’ (Fig 4I). Other related parameters where also unaffected by diet or sex: the E/e’ ratio (Fig 4J) and the myocardial performance index that incorporates both systolic and diastolic time intervals to provide a global assessment of ventricular function (Fig 4K).
Discussion
Type 2 diabetes is a well-established risk factor for cardiovascular diseases [25–27], with males being more affected than females [11]. We used the Nile rat model of slowly progressing T2DM to investigate the effect of diet and sex on cardiac function. Our findings indicate that diet-induced diastolic changes occur in animals showing resistance to metabolic syndrome and T2DM, independently of body weight (males had similar fasting insulin and blood glucose levels as well as body weight in both dietary groups studied here). Our focus on males and females resilient to pre-diabetes and diabetes adds further support for the possibility that cardiac functional changes might occur insidiously at an early (preclinical) stage in T2DM. The changes observed consist of elevations in heart rate and mitral E/A ratio as well as reductions in e’-wave velocity, isovolumetric relaxation time, and ejection time. These results support diastolic dysfunctions, albeit, in an atypical fashion when compared to more common clinical symptoms of diabetic cardiomyopathy in human. Despite having selected animals without any detectable systemic defects, males nevertheless exhibited diet-related cardiac dysfunction while females did not. Our findings support the occurrence of an underlying sex-based susceptibility to dietary intake over a prolonged period (almost throughout lifespan) and provide further insights into the well-established sex-differences in T2DM-associated cardiovascular dysfunction [28].
The diet-induced cardiovascular changes occurring in males solely are in line with previous findings of left ventricular diastolic dysfunction as an early complication in human T2DM (reviewed in [28, 29]). These dysfunctions arose in prediabetic patients [30], in subjects with impaired glucose tolerance but without diabetes [31, 32], and in young patients with diabetes, but without atherosclerosis, obesity, or hypertension, [33, 34]. In prediabetic patients, compared to controls, a strong difference in coronary blood flow reserve, which predominantly builds during diastole, was measured. This was accompanied with more modest changes in baseline and peak systolic and diastolic blood pressure, and no changes in E/e’, A/E, IVRT, and Tei index [30]. In patients with impaired glucose tolerance (as opposed to normoglycemic individuals), a decrease in E/A ratio [31, 32] and increase in IVRT [31] has been documented. IVRT, a marker of myocardial relaxation, refers to the interval between the closure of the aortic valve, and the opening of the mitral valve, which indicates filling onset and the first phase of diastolic relaxation [35]. A prolonged IVRT reflects poor myocardial relaxation and often manifests itself with aging [36]. Interestingly, in contrast with human, cardiovascular dysfunction was absent in studies using fructose fed rat [37, 38], despite development of hyperglycemia after only 6 weeks of high fructose feeding. These observations point to aging as a T2DM compounding factor, which does make a slow progression model like Nile rats even more relevant to study early cardiac dysfunction, prior to hyperinsulinemia and hyperglycemia onset.
In males, not females, long-term feeding of a Western-style diet is accompanied with elevated early to late ventricular filling velocity ratios and, higher E/A ratios, which together support an abnormal pattern of mitral inflow [39, 40]. Whereas E/A ratios also vary with heart rate, their inverse correlations [41–45] do not explain our results since heart rate and E/A ratio were both higher in Chow-fed compared to Fiber-fed males. Furthermore, we detected differences in early peak velocities (e’) and early to late diastolic peak velocity ratios (e’/a’) in Chow compared to Fiber males. Lower e’/a’ ratios are indicative of abnormal mitral inflow [39, 40], with optimal sensitivity when taken at the septal rather than lateral annulus such as was the case in the present study [46]. The ratios of e’/a’ were previously shown to correlate with left atrial volume indexes (indicator of left ventricular diastolic function) [47], independently of potential confounders such as age, sex, body weight index, hypertension, hyperinsulinemia and diabetes [46]. Finally, another indication of diastolic dysfunction in males fed a Western-style diet was the lower e’- versus a’- wave velocities, yielding e’/a’ ratio below 1, compared with over 1 in males fed a high fiber diet. Observations of e’-wave being slower than a’-wave do support impaired left ventricular relaxation and is now widely used as a diagnostic tool of diastolic dysfunction [39, 40, 48, 49]. Septal e’ is a more optimal diagnostic tool compared to lateral e’ [30]. Long-term feeding on a Western-style also affects IVRT, although, in an opposite fashion (reduction) compared to that in human (prolongation) [31]. Whereas our results suggest restricted left ventricular filling, one must take into account the contribution of dietary-induced changes on heart rate itself. The higher heart rate associated with Western diet in males implies that each phase is accelerated and therefore could explain our observations of reduced IVRT and ejection time. Our study clearly points out signs of diastolic dysfunction such as changes in (1) the relationship between early and late filling (E- and A-wave), (2) the ratio of mitral valve annular velocities (e’/a’), (3) the elevated filling pressure (E/e’), and (4) the time needed to fill the ventricle after relaxation (IVRT). By definition, diastolic dysfunction implies that the cardiac ejection fraction (systole) is preserved, while cardiac relaxation (diastole) is disrupted.
Diet-associated increases in heart rates in males are particularly instructive when considering that these did not occur in females. Higher fiber feeding is better aligned with the overall metabolic scaling in animals [50], with higher heart rates in animals with smaller size (females) compared to larger size (males). Such relationship does not hold when males are fed a Western-style diet: the heart rate is comparable between males and females, despite males having larger body weights. Previous studies using a mouse model of diet-induced T2DM (high fat diet for 24 weeks) revealed that animals of both sexes underwent similar increases in heart rate [51]. Even if we were to hypothesize that long term feeding of a Western-style diet in our study would have been associated with obesity in both sexes, the mechanisms explaining increased heart rates are sex-specific: a reduced cardiac vagal tone in females and a compensatory mechanism to preserve basal blood pressure while adrenergic contractility is reduced in the males [51]. The higher heart rate specific to males fed a Western-style diet (none of which developed obesity) might reflect compensatory mechanisms and/or increased stress levels. High-fat meals have been associated with heightened cardiovascular reactivity to stress [52] and increased sympathetic nervous system activity [53]. Further studies will be required to determine whether chow-fed males had reduced cardiac efficiency due to increased reliance on fatty acid oxidation for their energy production [54]. Fatty acid utilization increases the needs to rely on oxygen for oxidative phosphorylation [55]. In line with this, previous studies have shown that changes in capacity to metabolize fatty acids do take place at an early stage during T2DM [38] and heart failure [56].
Sexual dimorphism in electrocardiography parameters have been documented extensively in adults [57–63], children [64], and several animal models [65–67]. These include, among others, differences in LV mass [58, 68–73], left ventricular filling pressure [59–63], systolic function [59–63], tracing amplitude and duration [64], repolarization dynamics [74], and T wave generation [75]. These differences cannot be explained solely by variation in body size or in left ventricular mass [58]. Our findings in males versus females fed a high-fiber diet (IVRT, ejection time, e’-wave, heart rate) add to the body of literature on sexual dimorphism. Of note, these sex differences are absent when animals are fed Chow. This is in line with findings from individuals with type 1 diabetes, where differences in cardiovascular function between males and females are minimized [76]. Here again, an important and neglected parameter in animal studies is aging, as male cardiovascular health is more susceptible to aging [77]. Male Nile rats in our study showed signs of sexual dimorphism attributable alone to aging. In Nile rats, sexual dimorphism in T2DM susceptibility might reflect a contribution of sex hormones as male symptoms are exacerbated during puberty-associated testosterone production, but abate in females when estrus evolves around 7–8 weeks of age [4]. Based on previous findings [78–80], Subramaniam et al. [4] suggested that estrogen might exert a protective effect against diabetes, partly through microbiota modification. Interestingly, both sex hormones and microbiota have been suggested to play a role in cardiovascular function [81].
Study limitations
Performing echocardiography on Nile rats represents technical challenges. Their barrel-shaped chest displaces the heart from the location anticipated in mice and rats, leading to more variability in tissue Doppler parameters, or even (in some cases) to the an inability to measure key parameters such as mitral inflow pattern, pulmonary venous flow pattern, or systolic velocity at the annulus. An intermediate sized echocardiography probe (between commercially dedicated rat and mouse sizes) would have been ideal, but such specialized device was not available. Also, Nile rats present the advantage (and limitation) of being a complex model of T2DM, involving diet and genetic parameters. In this model, Chow-fed animals segregate into susceptible (>80%) or resistant (<20%) subgroups when fed identical Western-style diets. However, it was previously reported that the few animals surviving up to 24 months on such diabetogenic diet all eventually develop metabolic syndrome or even diabetes [5, 82–84]. The limited availability of such disease resistant animals (at least up to 18 months in this study) restricted our findings to a low animal N number. Confirmation of a likely bimodal distribution in disease progression and of the respective disease time courses of these two populations will require further studies with much larger sample sizes. These larger-scale studies would also allow appreciating how age-related changes in cardiac function might segregate with sex. Due to their feral nature, Nile rats are not compliant with assessments of blood pressure, as the required restraints increase cortisol levels leading to artifactually elevated pressure in both groups. We cannot therefore control for the potential contribution of hypertension [12] on cardiac function. Notwithstanding, exclusion of animals presenting with hyperinsulinemia or hyperglycemia might have selected for no or mild hypertension phenotype. Finally, animals were not fasted prior to echocardiographic assessment, adding potential variability from the contribution of the current metabolic condition toward the parameters measured.
Concluding remarks
The present data provide evidence of that long-term feeding with a Western-style diet leads to diastolic dysfunction in males, but not females. As heart failure with preserved ejection fraction is becoming more clinically relevant [22, 85], it is important to gather information relevant to left ventricular diastolic function in animal models. Our data show that despite resilience to metabolic syndrome and T2DM, protracted changes in cardiac function can occur under sustained Western-style diet. The current ubiquitous use of acute (as opposed to chronic) animal models of diabetes precludes studying and documenting these clinically important events [38]. Our observations point to the critical contribution of aging in pre-diabetic as a compounding factor for the insidious development of preclinical cardiovascular phenotypes. Of note, the majority of clinical diagnoses of T2DM are in seniors who had no previous history. Therefore, our findings further confirm our current clinical inability to identify, let alone understand, the chronic events (prior to hyperinsulinemia and hyperglycemia) that will eventually lead to cardiovascular complications.
Supporting information
Acknowledgments
The authors thank Ted Han, Hui Huang and Jonathan Gotzmann for their assistance in assessing some of the systemic markers presented here.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
Funding provided by Canadian Institutes of Health (CIHR; MOP 125873) to YS, as well as Natural Sciences and Engineering Research Council discovery grant (RGPIN 402636), Canadian Foundation for Innovation equipment grant (12979) and Faculty Saint-Jean startup grant to HL. JS received a Frederick Banting and Charles Best Canada Graduate Scholarship and a Queen Elizabeth II Graduate Scholarship; YS received an Alberta Heritage Foundation for Medical Research Senior Scholarship (200800242).
References
- 1.World Health Organization. Global report on Diabetes. Geneva: 2016 Contract No.: ISBN 978 92 4 156525 7.
- 2.Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14(2):88–98. 10.1038/nrendo.2017.151 [DOI] [PubMed] [Google Scholar]
- 3.Islam MS, Wilson RD. Experimentally induced rodent models of type 2 diabetes. Methods Mol Biol. 2012;933:161–74. 10.1007/978-1-62703-068-7_10 [DOI] [PubMed] [Google Scholar]
- 4.Subramaniam A, Landstrom M, Luu A, Hayes KC. The Nile Rat (Arvicanthis niloticus) as a Superior Carbohydrate-Sensitive Model for Type 2 Diabetes Mellitus (T2DM). Nutrients. 2018;10(2). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Chaabo F, Pronczuk A, Maslova E, Hayes K. Nutritional correlates and dynamics of diabetes in the Nile rat (Arvicanthis niloticus): a novel model for diet-induced type 2 diabetes and the metabolic syndrome. Nutr Metab (Lond) 2010;7:29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Yang K, Gotzmann J, Kuny S, Huang H, Sauvé Y, Chan CB. Five stages of progressive β-cell dysfunction in the laboratory Nile rat model of type 2 diabetes. J Endocrinol. 2016;229(3):343–56. 10.1530/JOE-15-0517 [DOI] [PubMed] [Google Scholar]
- 7.Skovsø S. Modeling type 2 diabetes in rats using high fat diet and streptozotocin. J Diabetes Investig. 2014;5(4):349–58. 10.1111/jdi.12235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Halter JB, Musi N, McFarland Horne F, Crandall JP, Goldberg A, Harkless L, et al. Diabetes and Cardiovascular Disease in Older Adults: Current Status and Future Directions. Diabetes. 2014;63(8):2578–89. 10.2337/db14-0020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Booth GL, Kapral MK, Fung K, Tu JV. Relation between age and cardiovascular disease in men and women with diabetes compared with non-diabetic people: a population-based retrospective cohort study. Lancet. 2006;368(9529):29–36. 10.1016/S0140-6736(06)68967-8 [DOI] [PubMed] [Google Scholar]
- 10.Beckman JA, Paneni F, Cosentino F, Creager MA. Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part II. Eur Heart J. 2013;34(31):2444–52. 10.1093/eurheartj/eht142 [DOI] [PubMed] [Google Scholar]
- 11.Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, et al. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation. 2018;137(12):e67–e492. 10.1161/CIR.0000000000000558 [DOI] [PubMed] [Google Scholar]
- 12.Noda K, Melhorn MI, Zandi S, Frimmel S, Tayyari F, Hisatomi T, et al. An animal model of spontaneous metabolic syndrome: Nile grass rat. FASEB J. 2010;24(7):2443–53. 10.1096/fj.09-152678 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kenchaiah S, Evans JC, Levy D, Wilson PW, Benjamin EJ, Larson MG, et al. Obesity and the risk of heart failure. N Engl J Med. 2002;347(5):305–13. 10.1056/NEJMoa020245 [DOI] [PubMed] [Google Scholar]
- 14.Threapleton DE, Greenwood DC, Evans CE, Cleghorn CL, Nykjaer C, Woodhead C, et al. Dietary fibre intake and risk of cardiovascular disease: systematic review and meta-analysis. BMJ. 2013;347:f6879 10.1136/bmj.f6879 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dolinsky VW, Morton JS, Oka T, Robillard-Frayne I, Bagdan M, Lopaschuk GD, et al. Calorie restriction prevents hypertension and cardiac hypertrophy in the spontaneously hypertensive rat. Hypertension. 2010;56(3):412–21. 10.1161/HYPERTENSIONAHA.110.154732 [DOI] [PubMed] [Google Scholar]
- 16.Han WH, Gotzmann J, Kuny S, Huang H, Chan CB, Lemieux H, et al. Modifications in retinal mitochondrial respiration precede type 2 diabetes and protracted microvascular retinopathy. Invest Ophthalmol Vis Sci. 2017;58:3826–39. 10.1167/iovs.17-21929 [DOI] [PubMed] [Google Scholar]
- 17.Anand RG, Peters RW, Donahue TP. Obesity and dysrhythmias. Journal of the cardiometabolic syndrome. 2008;3(3):149–54. 10.1111/j.1559-4572.2008.00003.x [DOI] [PubMed] [Google Scholar]
- 18.Pires KM, Buffolo M, Schaaf C, David Symons J, Cox J, Abel ED, et al. Activation of IGF-1 receptors and Akt signaling by systemic hyperinsulinemia contributes to cardiac hypertrophy but does not regulate cardiac autophagy in obese diabetic mice. J Mol Cell Cardiol 2017;113:39–50. 10.1016/j.yjmcc.2017.10.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mathews MJ, Liebenberg L, Mathews EH. How do high glycemic load diets influence coronary heart disease? Nutrition & metabolism. 2015;12:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.McAlister NH, McAlister NK, Buttoo K. Understanding cardiac "echo" reports. Practical guide for referring physicians. Can Fam Physician. 2006;52:869–74. [PMC free article] [PubMed] [Google Scholar]
- 21.Kane GC, Karon BL, Mahoney DW, Redfield MM, Roger VL, Burnett JC Jr., et al. Progression of left ventricular diastolic dysfunction and risk of heart failure. Jama. 2011;306(8):856–63. 10.1001/jama.2011.1201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Redfield MM, Jacobsen SJ, Burnett JCJ, Mahoney DW, Bailey KR, Rodeheffer RJ. Burden of systolic and diastolic ventricular dysfunction in the community: appreciating the scope of the heart failure epidemic. JAMA. 2003;289(2):194–202. [DOI] [PubMed] [Google Scholar]
- 23.Lance VQ, Spodick DH. Ejection time—heart rate relationship during exercise. Catheterization and cardiovascular diagnosis. 1976;2(2):165–73. [DOI] [PubMed] [Google Scholar]
- 24.Weissler AM, Peeler RG, Roehll WH Jr. Relationships between left ventricular ejection time, stroke volume, and heart rate in normal individuals and patients with cardiovascular disease. Am Heart J. 1961;62:367–78. [DOI] [PubMed] [Google Scholar]
- 25.Garcia MJ, McNamara PM, Gordon T, Kannel WB. Morbidity and mortality in diabetics in the Framingham population. Sixteen year follow-up study. Diabetes. 1974;23(2):105–11. [DOI] [PubMed] [Google Scholar]
- 26.Kannel WB, McGee DL. Diabetes and cardiovascular disease. The Framingham study. JAMA. 1979;241(19):2035–8. [DOI] [PubMed] [Google Scholar]
- 27.Stamler J, Vaccaro O, Neaton JD, Wentworth D. Diabetes, other risk factors, and 12-yr cardiovascular mortality for men screened in the Multiple Risk Factor Intervention Trial. Diabetes Care. 1993;16(2):434–44. [DOI] [PubMed] [Google Scholar]
- 28.Toedebusch R, Belenchia A, Pulakat L. Diabetic Cardiomyopathy: Impact of Biological Sex on Disease Development and Molecular Signatures. Frontiers in physiology. 2018;9:453 10.3389/fphys.2018.00453 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Boudina S, Abel ED. Diabetic cardiomyopathy revisited. Circulation. 2007;115(25):3213–23. 10.1161/CIRCULATIONAHA.106.679597 [DOI] [PubMed] [Google Scholar]
- 30.Erdogan D, Yucel H, Uysal BA, Ersoy IH, Icli A, Akcay S, et al. Effects of prediabetes and diabetes on left ventricular and coronary microvascular functions. Metabolism. 2013;62(8):1123–30. 10.1016/j.metabol.2013.02.011 [DOI] [PubMed] [Google Scholar]
- 31.Hiramatsu K, Ohara N, Shigematsu S, Aizawa T, Ishihara F, Niwa A, et al. Left ventricular filling abnormalities in non-insulin-dependent diabetes mellitus and improvement by a short-term glycemic control. Am J Cardiol. 1992;70(13):1185–9. [DOI] [PubMed] [Google Scholar]
- 32.Celentano A, Vaccaro O, Tammaro P, Galderisi M, Crivaro M, Oliviero M, et al. Early abnormalities of cardiac function in non-insulin-dependent diabetes mellitus and impaired glucose tolerance. Am J Cardiol. 1995;76(16):1173–6. [DOI] [PubMed] [Google Scholar]
- 33.Zarich SW, Arbuckle BE, Cohen LR, Roberts M, Nesto RW. Diastolic abnormalities in young asymptomatic diabetic patients assessed by pulsed Doppler echocardiography. J Am Coll Cardiol. 1988;12(1):114–20. [DOI] [PubMed] [Google Scholar]
- 34.Riggs TW, Transue D. Doppler echocardiographic evaluation of left ventricular diastolic function in adolescents with diabetes mellitus. Am J Cardiol. 1990;65(13):899–902. [DOI] [PubMed] [Google Scholar]
- 35.Bloch KE, Jugoon S, Sackner MA. Inductance cardiography (thoracocardiography): a novel, noninvasive technique for monitoring left ventricular filling. Journal of critical care. 1999;14(4):177–85. [DOI] [PubMed] [Google Scholar]
- 36.Peverill PE, Chou B, Donelan L, Mottram PM, Gelman JS. Possible mechanisms underlying aging-related changes in early diastolic filling and long axis motion-left ventricular length and blood pressure. PLoS One. 2016;11(6):e0158302 10.1371/journal.pone.0158302 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Calabro V, Piotrkowski B, Fischerman L, Vazquez Pietro MA, Galleano M, Fraga CG. Modifications in nitric oxide and superoxide anion metabolism induced by fructose overload in rat heart are prevented by (-)- epicatechin. Food Funct. 2016;7:1876–83. 10.1039/c6fo00048g [DOI] [PubMed] [Google Scholar]
- 38.Lou PH, Lucchinetti E, Scott KY, Huang Y, Gandhi M, Hersberger M, et al. Alterations in fatty acid metabolism and sirtuin signaling characterize early type-2 diabetic hearts of fructose-fed rats. Physiol Rep. 2017;5(16):pii: e13388 10.14814/phy2.13388 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sohn DW, Chai IH, Lee DJ, Kim HC, Kim HS, Oh BH, et al. Assessment of mitral annulus velocity by Doppler tissue imaging in the evaluation of left ventricular diastolic function. J Am Coll Cardiol. 1997;0(2):474–80. [DOI] [PubMed] [Google Scholar]
- 40.Oh JK, Park SJ, Nagueh SF. Established and novel clinical applications of diastolic function assessment by echocardiography. Circ Cardiovasc Imaging. 2011;4(4):444–55. 10.1161/CIRCIMAGING.110.961623 [DOI] [PubMed] [Google Scholar]
- 41.Kneffel Z, Varga-Pinter B, Toth M, Major Z, Pavlik G. Relationship between the heart rate and E/A ratio in athletic and non-athletic males. Acta physiologica Hungarica. 2011;98(3):284–93. 10.1556/APhysiol.98.2011.3.5 [DOI] [PubMed] [Google Scholar]
- 42.Harrison MR, Clifton GD, Pennell AT, DeMaria AN. Effect of heart rate on left ventricular diastolic transmitral flow velocity patterns assessed by Doppler echocardiography in normal subjects. Am J Cardiol. 1991;67(7):622–7. [DOI] [PubMed] [Google Scholar]
- 43.Johnson MC, Bergersen LJ, Beck A, Dick G, Cole BR. Diastolic function and tachycardia in hypertensive children. American journal of hypertension. 1999;12(10 Pt 1):1009–14. [DOI] [PubMed] [Google Scholar]
- 44.Palatini P, Frigo G, Vriz O, Bertolo O, Dal Follo M, Daniele L, et al. Early signs of cardiac involvement in hypertension. Am Heart J. 2001;142(6):1016–23. [DOI] [PubMed] [Google Scholar]
- 45.Smith SA, Stoner JE, Russell AE, Sheppard JM, Aylward PE. Transmitral velocities measured by pulsed Doppler in healthy volunteers: effects of acute changes in blood pressure and heart rate. British heart journal. 1989;61(4):344–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Kim HL, Zo JH, Seo JB, Chung WY, Kim YJ, Kim SH, et al. Additional value of lateral tissue Doppler imaging in the assessment of diastolic dysfunction among subjects with pseudonormal pattern of mitral inflow. Cardiovasc Ultrasound. 2013;11:1–7. 10.1186/1476-7120-11-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Moller JE, Hillis GS, Oh JK, Seward JB, Reeder GS, Wright RS, et al. Left atrial volume: a powerful predictor of survival after acute myocardial infarction. Circulation. 2003;107(17):2207–12. 10.1161/01.CIR.0000066318.21784.43 [DOI] [PubMed] [Google Scholar]
- 48.Ommen SR, Nishimura RA, Appleton CP, Miller FA, Oh JK, Redfield MM, et al. Clinical utility of Doppler echocardiography and tissue Doppler imaging in the estimation of left ventricular filling pressures: A comparative simultaneous Doppler-catheterization study. Circulation. 2000;102(15):1788–94. [DOI] [PubMed] [Google Scholar]
- 49.Nagueh SF, Middleton KJ, Kopelen HA, Zoghbi WA, Quiñones MA. Doppler tissue imaging: a noninvasive technique for evaluation of left ventricular relaxation and estimation of filling pressures. J Am Coll Cardiol. 1997;30(6):1527–33. [DOI] [PubMed] [Google Scholar]
- 50.White CR, Kearney MR. Metabolic scaling in animals: Methods, empirical results, and theoretical explanations. Comprehensive Physiology. 2014;4(1):231–56. 10.1002/cphy.c110049 [DOI] [PubMed] [Google Scholar]
- 51.Bruder-Nascimento T, Ekeledo OJ, Anderson R, Le HB, Belin de Chantemele EJ. Long Term High Fat Diet Treatment: An Appropriate Approach to Study the Sex-Specificity of the Autonomic and Cardiovascular Responses to Obesity in Mice. Frontiers in physiology. 2017;8:32 10.3389/fphys.2017.00032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Jakulj F, Zernicke K, Bacon SL, van Wielingen LE, Key BL, West SG, et al. A high-fat meal increases cardiovascular reactivity to psychological stress in healthy young adults. J Nutr. 2007;137(4):935–9. 10.1093/jn/137.4.935 [DOI] [PubMed] [Google Scholar]
- 53.Heseltine D, Potter JF, Hartley G, Macdonald IA, James OF. Blood pressure, heart rate and neuroendocrine responses to a high carbohydrate and a high fat meal in healthy young subjects. Clinical science (London, England: 1979). 1990;79(5):517–22. [DOI] [PubMed] [Google Scholar]
- 54.Peterson LR, Herrero P, Schechtman KB, Racette SB, Waggoner AD, Kisrieva-Ware Z, et al. Effect of obesity and insulin resistance on myocardial substrate metabolism and efficiency in young women. Circulation. 2004;109(18):2191–6. 10.1161/01.CIR.0000127959.28627.F8 [DOI] [PubMed] [Google Scholar]
- 55.Knaapen P, Germans T, Knuuti J, Paulus WJ, Dijkmans PA, Allaart CP, et al. Myocardial energetics and efficiency: current status of the noninvasive approach. Circulation. 2007;115:918–27. 10.1161/CIRCULATIONAHA.106.660639 [DOI] [PubMed] [Google Scholar]
- 56.Lemieux H, Semsroth S, Antretter H, Höfer D, Gnaiger E. Mitochondrial respiratory control and early defects of oxidative phosphorylation in the failing human heart. Int J Biochem Cell Biol. 2011;43(12):1729–38. 10.1016/j.biocel.2011.08.008 [DOI] [PubMed] [Google Scholar]
- 57.De Bacquer D, De Backer G, Kornitzer M. Prevalences of ECG findings in large population based samples of men and women. Heart. 2000;84(6):625–33. 10.1136/heart.84.6.625 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Okin PM, Roman MJ, Devereux RB, Kligfield P. Gender differences and the electrocardiogram in left ventricular hypertrophy. Hypertension. 1995;25(2):242–9. [DOI] [PubMed] [Google Scholar]
- 59.Wainstein RV, Sasson Z, Mak S. Frequency-dependent left ventricular performance in women and men. Am J Physiol Heart Circ Physiol. 2012;302(11):H2363–71. 10.1152/ajpheart.01125.2011 [DOI] [PubMed] [Google Scholar]
- 60.Chung AK, Das SR, Leonard D, Peshock RM, Kazi F, Abdullah SM, et al. Women have higher left ventricular ejection fractions than men independent of differences in left ventricular volume: the Dallas Heart Study. Circulation. 2006;113(12):1597–604. 10.1161/CIRCULATIONAHA.105.574400 [DOI] [PubMed] [Google Scholar]
- 61.Fu Q, Arbab-Zadeh A, Perhonen MA, Zhang R, Zuckerman JH, Levine BD. Hemodynamics of orthostatic intolerance: implications for gender differences. Am J Physiol Heart Circ Physiol. 2004;286(1):H449–57. 10.1152/ajpheart.00735.2002 [DOI] [PubMed] [Google Scholar]
- 62.Hayward CS, Kalnins WV, Kelly RP. Gender-related differences in left ventricular chamber function. Cardiovasc Res. 2001;49(2):340–50. [DOI] [PubMed] [Google Scholar]
- 63.Mitoff PR, Al-Hesayen A, Azevedo E, Newton GE, Mak S. Sex differences in basal hemodynamics and left ventricular function in humans with and without heart failure. Am Heart J. 2007;154(3):575–80. 10.1016/j.ahj.2007.04.047 [DOI] [PubMed] [Google Scholar]
- 64.Semizel E, Oztürk B, Bostan OM, Cil E, Ediz B. The effect of age and gender on the electrocardiogram in children. Cardiol Young. 2008;18(1):26–40. 10.1017/S1047951107001722 [DOI] [PubMed] [Google Scholar]
- 65.Chen J, Petranka J, Yamamura K, London RE, Steenbergen C, Murphy E. Gender differences in sarcoplasmic reticulum calcium loading after isoproterenol. Am J Physiol Heart Circ Physiol. 2003;285(6):H2657–62. 10.1152/ajpheart.00557.2003 [DOI] [PubMed] [Google Scholar]
- 66.Golden KL, Marsh JD, Jiang Y, Brown T, Moulden J. Gonadectomy of adult male rats reduces contractility of isolated cardiac myocytes. Am J Physiol Endocrinol Metab. 2003;285(3):E449–53. 10.1152/ajpendo.00054.2003 [DOI] [PubMed] [Google Scholar]
- 67.Petre RE, Quaile MP, Rossman EI, Ratcliffe SJ, Bailey BA, Houser SR, et al. Sex-based differences in myocardial contractile reserve. Am J Physiol Regul Integr Comp Physiol. 2007;292(2):R810–8. 10.1152/ajpregu.00377.2006 [DOI] [PubMed] [Google Scholar]
- 68.Hinderliter AL, Light KC, Willis PW. Left ventricular mass index and diastolic filling. Relation to blood pressure and demographic variables in a healthy biracial sample. Am J Hypertens. 1991;4(7 Pt. 1):579–85. [DOI] [PubMed] [Google Scholar]
- 69.Devereux RB, Savage DD, Sachs I, Laragh JH. Relation of hemodynamic load to left ventricular hypertrophy and performance in hypertension. Am J Cardiol. 1983;51(1):171–6. [DOI] [PubMed] [Google Scholar]
- 70.Devereux RB, Pickering TG, Harshfield GA, Kleinert HD, Denby L, Clark L, et al. Left ventricular hypertrophy in patients with hypertension: importance of blood pressure response to regularly recurring stress. Circulation. 1983;68(3):470–6. [DOI] [PubMed] [Google Scholar]
- 71.Devereux RB, Lutas EM, Casale PN, Kligfield P, Eisenberg RR, Hammond IW, et al. Standardization of M-mode echocardiographic left ventricular anatomic measurements. J Am Coll Cardiol 1984;4(6):1222–30. [DOI] [PubMed] [Google Scholar]
- 72.Messerli FH, Sundgaard-Riise K, Ventura HO, Dunn FG, Oigman W, Frohlich ED. Clinical and hemodynamic determinants of left ventricular dimensions. Arch Intern Med. 1984;144(3):477–81. [PubMed] [Google Scholar]
- 73.Hammond IW, Devereux RB, Alderman MH, Laragh JH. Relation of blood pressure and body build to left ventricular mass in normotensive and hypertensive employed adults. J Am Coll Cardiol. 1988;12(4):996–1004. [DOI] [PubMed] [Google Scholar]
- 74.Lehmann MH, Yang H. Sexual dimorphism in the electrocardiographic dynamics of human ventricular repolarization: characterization in true time domain. Circulation. 2001;104(1):32–8. [DOI] [PubMed] [Google Scholar]
- 75.Yang H, Elko P, Fromm BS, Baga JJ, Pires LA, Schuger CD, et al. Maximal ascending and descending slopes of the T wave in men and women. J Electrocardiol. 1997;30(4):267–76. [DOI] [PubMed] [Google Scholar]
- 76.Bjornstad P, Truong U, Pyle L, Dorosz JL, Cree-Green M, Baumgartner A, et al. Youth with type 1 diabetes have worse strain and less pronounced sex differences in early echocardiographic markers of diabetic cardiomyopathy compared to their normoglycemic peers: A RESistance to InSulin in Type 1 ANd Type 2 diabetes (RESISTANT) Study. J Diabetes Complications. 2016;30(6):1103–10. 10.1016/j.jdiacomp.2016.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Llamas B, Lau C, Cupples WA, Rainville ML, Souzeau E, Deschepper CF. Genetic determinants of systolic and pulse pressure in an intercross between normotensive inbred rats. Hypertension. 2006;48(5):921–6. 10.1161/01.HYP.0000244758.50351.29 [DOI] [PubMed] [Google Scholar]
- 78.Frankenfeld CL, Atkinson C, Wahala K, Lampe JW. Obesity prevalence in relation to gut microbial environments capable of producing equol or O-desmethylangolensin from the isoflavone daidzein. European journal of clinical nutrition. 2014;68(4):526–30. 10.1038/ejcn.2014.23 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Frankenfeld CL. Cardiometabolic risk and gut microbial phytoestrogen metabolite phenotypes. Molecular nutrition & food research. 2017;61(1). [DOI] [PubMed] [Google Scholar]
- 80.Miller LM, Lampe JW, Newton KM, Gundersen G, Fuller S, Reed SD, et al. Being overweight or obese is associated with harboring a gut microbial community not capable of metabolizing the soy isoflavone daidzein to O-desmethylangolensin in peri- and post-menopausal women. Maturitas. 2017;99:37–42. 10.1016/j.maturitas.2017.02.006 [DOI] [PubMed] [Google Scholar]
- 81.Cross TL, Kasahara K, Rey FE. Sexual dimorphism of cardiometabolic dysfunction: Gut microbiome in the play? Molecular metabolism. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Leow SS, Bolsinger J, Pronczuk A, Hayes KC, Sambanthamurthi R. Hepatic transcriptome implications for palm fruit juice deterrence of type 2 diabetes mellitus in young male Nile rats. Genes Nutr. 2016;11:29 10.1186/s12263-016-0545-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Bolsinger J, Landstrom M, Pronczuk A, Auerbach A, Hayes KC. Low glycemic load diets protect against metabolic syndrome and Type 2 diabetes mellitus in the male Nile rat. J Nutr Biochem. 2017;42:134–48. 10.1016/j.jnutbio.2017.01.007 [DOI] [PubMed] [Google Scholar]
- 84.Bolsinger J, Pronczuk A, Hayes KC. Dietary carbohydrate dictates development of Type 2 diabetes in the Nile rat. J Nutr Biochem. 2013;24(11):1945–52. 10.1016/j.jnutbio.2013.06.004 [DOI] [PubMed] [Google Scholar]
- 85.Zile MR, Brutsaert DL. New concepts in diastolic dysfunction and diastolic heart failure: Part II: causal mechanisms and treatment. Circulation. 2002;105(12):1503–8. [DOI] [PubMed] [Google Scholar]
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