Skip to main content

ORIGINAL RESEARCH article

Front. Physiol., 24 March 2023
Sec. Autonomic Neuroscience
This article is part of the Research Topic Vagus Nerve-Mediated Drive in Supporting Homeostasis: Optimizing Global Health through Monitoring and Stimulating Vagal Function View all 5 articles

Sex differences in heart rate and heart rate variability in rats: Implications for translational research

Luca Carnevali
Luca Carnevali1*Margherita BarbettiMargherita Barbetti1Rosario Statello,Rosario Statello2,3DeWayne P. WilliamsDeWayne P. Williams4Julian F. ThayerJulian F. Thayer4Andrea SgoifoAndrea Sgoifo1
  • 1Stress Physiology Lab, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
  • 2Department of Medicine and Surgery, University of Parma, Parma, Italy
  • 3Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
  • 4Department of Psychological Science, University of California, Irvine, Irvine, United States

The present study aimed to investigate sex differences in measures of cardiac chronotropy and heart rate variability (HRV) in 132 young adult wild-type Groningen rats (n = 45 females). Electrocardiographic signals were recorded for 48 h in freely moving rats to quantify heart rate (HR) and inter-beat interval (IBI) as measures of cardiac chronotropy, and time- and frequency-domain HRV parameters as physiological readouts of cardiac vagal modulation. Females showed greater vagally-mediated HRV despite having higher HR and shorter IBI than males during undisturbed conditions. Such differences were evident i) at any given level of HRV, and ii) both during the 12-h light/inactive and 12-h dark/active phase of the daily cycle. These findings replicate the paradoxical cardiac chronotropic control reported by human meta-analytic findings, since one would expect greater vagally-mediated HRV to be associated with lower HR and longer IBI. Lastly, the association between some HRV measures and HR was stronger in female than male rats. Overall, the current study in young adult rats provides data illustrating a sex-dependent association between vagally-mediated HRV and indexes of cardiac chronotropy. The current results i) are in line with human findings, ii) suggest to always consider biological sex in the analysis and interpretation of HRV data in rats, and iii) warrant the use of rats for investigating the neuro-hormonal basis and temporal evolution of the impact of sex on the association between vagally-mediated HRV and cardiac chronotropy, which could inform the human condition.

1 Introduction

It is widely known that parasympathetic (vagal) modulation exerts a negative chronotropic effect on the heart by slowing spontaneous depolarization of the pacemaker cells in the sinoatrial node (Bartos et al., 2015). Cardiac vagal modulation can be indirectly assessed through analysis of heart rate variability (HRV), as shown by pharmacological studies suggesting that vagal influences to sinoatrial node activity are responsible for HRV within the respiratory frequency band (McCabe et al., 1985; Pagani et al., 1986; Japundzic et al., 1990). Therefore, the association of respiratory-linked HRV with vagal influence as its putative mechanism has led to the use of HRV metrics as an approximation of cardiac vagal modulation (Laborde et al., 2017). Thus, one would expect greater vagally-mediated (vm) HRV to be associated with lower heart rate (HR) and longer inter-beat interval (IBI). However, in humans there is an apparent sex paradox in the relationship between resting measures of vmHRV and indexes of cardiac chronotropy. Specifically, meta-analytic findings showed women to have greater vmHRV and, paradoxically, higher HR and lower IBI compared to men (Koenig and Thayer, 2016). Further, a recent study conducted on a large sample (n = 628) of young adults demonstrated stronger associations between resting measures of vmHRV and both HR and IBI in women than man (Williams et al., 2022). According to the authors, this finding suggests that vagal modulation (as indexed by vmHRV) is of greater impact on cardiac chronotropic control (i.e., HR and IBI) in women compared to men, which may be due to the effects of sex hormones, such as estradiol, on the sensitivity to the cholinergic neurotransmitter acetylcholine (ACh) (Du et al., 1994; Dart et al., 2002). Thus, given the popularity and feasibility of HRV research nowadays, they recommended considering gender as a fundamental covariate in HRV research (Koenig and Thayer, 2016; Williams et al., 2022).

The use of HRV as a non-invasive physiological read-out of cardiac vagal modulation has become popular also in rodent research to increase the knowledge of several (patho)physiological processes (e.g., Wood et al., 2012; Lee et al., 2013; Carnevali and Sgoifo, 2014; Chuang et al., 2017; Morais-Silva et al., 2019). Yet, much uncertainty remains in the translational relevance of the results. One of the most important criticisms concerns the fact that sympatho-vagal contributions to cardiac chronotropy may vary significantly between humans and rodents. For example, in humans resting HR is largely determined by vagal modulation (Tan et al., 2009), while in mice and rats vagal contributions to resting HR seem less predominant (Japundzic et al., 1990; Ishii et al., 1996; Gehrmann et al., 2000; Carnevali and Sgoifo, 2014; Axsom et al., 2020). Therefore, one may argue that rodent-based findings on resting measures of vmHRV have little translational relevance for the human condition. Nevertheless, several studies have reported that in rodents, like in humans, resting measures of vmHRV i) decline with advancing age (Rossi et al., 2014; Piantoni et al., 2021), ii) may be important predictors of ventricular arrhythmic risk (Carnevali et al., 2019), iii) are influenced by environmental factors such as stress exposure (Grippo et al., 2002; Wood et al., 2012), and iv) are associated with specific behavioral phenotypes (e.g., Grippo et al., 2002; Wood et al., 2012; Carnevali et al., 2013a; Carnevali et al., 2014). Importantly, most of these studies have been conducted on male rodents, and none has investigated the potential impact of biological sex on vmHRV and its association with indexes of cardiac chronotropy in freely moving rodents. Such an investigation would be useful for providing further support to the translational value of HRV findings in rodent models and for gaining new knowledge on sex differences in cardiac chronotropic control. Therefore, in the present study we assessed measures of HRV and cardiac chronotropy from 24-h radiotelemetric ECG recordings in young adult male and female rats. Based on human findings (Koenig and Thayer, 2016; Williams et al., 2022), we hypothesized that i) female rats would show greater vmHRV and, paradoxically, higher HR - and lower IBI - than male rats, and that ii) the association between vmHRV and HR/IBI would be stronger in female than male rats.

2 Materials and methods

2.1 Animals

Three-month-old wild-type Groningen rats were considered for the present investigation. This rat strain, originally derived from the University of Groningen (Netherlands), is currently bred at the University of Parma in climate-controlled rooms, with a 12-h light/dark cycle (lights on at 7 p.m.) and ad libitum food and water. Data were pooled across seven studies conducted within our lab (Carnevali et al., 2012; Carnevali et al., 2013a; Carnevali et al., 2013b; Carnevali and Sgoifo, 2014; Carnevali et al., 2020; Andolina et al., 2021; and one ongoing study). There were 87 males and 45 females available for the analysis. Each study was approved by the Italian legislation on animal experimentation (D.L. 04/04/2014, n. 26, authorization of the ongoing study n.473/2022-PR).

2.2 ECG recordings and analysis

In each experiment, rats were implanted under anesthesia with radiotelemetric transmitters (TA11CTA-F40, Data Sciences International, St. Paul, MN) for recordings of ECG signals (sampling frequency 1,000 Hz). The transmitter body was placed in the abdominal cavity; one electrode was fixed to the dorsal surface of the xyphoid process and another electrode was placed in the anterior mediastinum close to the right atrium, according to the previously described procedure (Sgoifo et al., 1996). Animals were allowed a 2-week recovery period before the beginning of ECG recordings.

For the analysis of ECG signals, we considered 2-min segments recorded every hour for two consecutive days during undisturbed conditions and before the execution of any other experimental procedure (e.g., stress protocols) adopted in the original studies. Initially, each raw ECG segment was visually inspected to ensure that all R-waves were correctly detected. Those parts of ECG traces which exhibited recording artifacts or arrhythmias were discarded without substitution and excluded from further analysis. ECG segments were then analyzed for the present investigation using ChartPro 5.0 software (ADInstruments, Sydney, Australia). For each 2-min segment, mean HR (reported in beats per minute, bpm), IBI (ms), and time- and frequency-domain parameters of HRV were quantified. In the time-domain, we considered the standard deviation of IBIs (SDNN, ms), which reflects both vagal and sympathetic influences, and the root mean square of successive beat-to-beat interval differences (RMSSD, ms), which reflects vagal regulation of HR. For spectral (frequency-domain) analysis of HRV, a power spectrum was obtained with a fast Fourier transform-based method (Welch’s periodogram: 256 points, 50% overlap, and Hamming window). We considered the power (ms2) of the low frequency band (LF, 0.2–0.75 Hz), which reflects both vagal and sympathetic influences, and the power (ms2) of the high frequency band (HF, 0.75–2.5 Hz), which reflects vagal regulation of HR. In sum, measures of cardiac chronotropy included HR and IBI and measures of HRV included RMSSD and HF as indexes of vagal modulation and SDNN and LF as indexes of both sympathetic and vagal influences. HR, IBI, and HRV data were averaged to obtain 24-h values and 12-h values for the light and dark phases of the daily cycle.

2.3 Statistical analysis

All statistical analyses were performed using the IBM SPSS statistical package (version 28). The normal distribution of variables was checked by means of the Kolmogorov–Smirnov test. Significantly skewed variables, including SDNN, RMSSD, LF and HF were log transformed (ln) to fit assumptions for linear analyses.

A series of Student’s t-tests for independent samples were applied to test potential differences between male and female rats on all variables. Zero-order correlations (Pearson’s r) were computed to investigate the relationship between HRV parameters and measures of cardiac chronotropy in the full sample and, separately, in the two sexes. Sex differences in correlation coefficients were tested using Fisher’s r-to-z transformation (Steiger, 1980).

Then, based on (Williams et al., 2022), the SPSS macro “PROCESS” was used to test if sex moderated the relationship between HRV indexes and cardiac chronotropy. Specifically, “Model 1” was used to test the interactive effect of 24-h HRV measures (independent variable) and sex (moderator, 1 = males, 2 = females) on 24-h HR values. Conditional effects were used to determine the differential relationship between male and female rats on the association between 24-h HRV parameters and 24-h HR using simple slope analyses. The Johnson-Neyman technique was applied to identify regions of significance and determine how male and female rats differed in HR at low, mean, and high levels of HRV (predictor), with high and low HRV values that were derived using ±1SD from the mean. Statistical significance was set at p < 0.05.

3 Results

3.1 Sex differences in indexes of cardiac chronotropy and HRV

Table 1 reports 24-h values of cardiac chronotropy and HRV and separate estimates for the 12-h light and 12-h dark phase of the daily cycle in male and female rats. Box and whisker plots in Figure 1 show representative distributions of 24-h measures of cardiac chronotropy and HRV in both sexes.

TABLE 1
www.frontiersin.org

TABLE 1. Mean differences between male and female rats on 24-h values and on 12-h values for the light (inactive) and dark (active) phases of the daily cycle.

FIGURE 1
www.frontiersin.org

FIGURE 1. Box plots for 24-h values of heart rate (A), inter-beat interval (IBI, (B)), standard deviation of IBIs (SDNN, (C)), root mean square of successive beat-to-beat interval differences (RMSSD, (D)), low frequency power (LF, 0.2–0.75 Hz; (E)), and high frequency power (HF, 0.75–2.5 Hz; (F)), divided by male (n = 87) and female (n = 45) rats. The boxes show the data between the 25th and 75th percentile, the middle line represents the median, the black dot represents the mean. Ln, natural logarithm. Statistics are reported in Table 1.

Female rats showed higher 24-h HR and lower 24-h IBI compared to male rats (Table 1; Figure 1). These significant differences emerged both during the light and dark phase of the daily cycle (Table 1). Female rats had also higher 24-h values of SDNN, natural log-transformed SDNN, RMSSD, natural log-transformed RMSSD, LF power, natural log-transformed LF, HF power, and natural log-transformed HF (Table 1; Figure 1). These sex differences in HRV values were significant during both the 12-h light and 12-h dark phase of the daily cycle, with the only exception of (ln)HF light values (p = 0.085) (Table 1).

3.2 Correlations between indexes of cardiac chronotropy and HRV

Table 2 reports correlation coefficients for 24-h values of cardiac chronotropy and HRV in the full sample and stratified by sex. In the full sample, there was a near-perfect negative association between HR and IBI (r = 0.993) and a near-perfect positive association between the two indexes of vagally-mediated HRV (natural log-transformed RMSSD and HF, r = 0.983) (Table 2 A). As expected, higher HR and lower IBI were significantly associated with lower vagally-mediated HRV (natural log-transformed RMSSD and HF values) (Table 2 A). Significant and strong positive correlations were also found between time-domain indexes of HRV (natural log-transformed SDNN and RMSSD, r = 0.690), and between frequency-domain indexes of HRV (natural log-transformed LF and HF, r = 0.824). This result confirms that, besides the two well-accepted indexes of vagally-mediated HRV (i.e., RMSSD and HF), cardiac vagal influences in the rat are also largely captured by SDNN and LF values. As for sex differences, female rats tended to have a stronger negative correlation between (ln)RMSSD and HR than males (r = −0.534 vs. r = −0.394), although this difference did not reach statistical significance (p > 0.05) (Table 2 A, B). Notably, a significant negative correlation was found between (ln)SDNN and HR in females (r = −0.544, p < 0.01) (Table 2 C), but not in male rats (r = −0.172, p > 0.05) (Table 2 B), with correlation coefficients that differed significantly between sexes (p = 0.02). Similarly, a significant negative correlation was found between (ln)LF and HR in females (r = −0.451, p < 0.01) (Table 2 C), but not in male rats (r = −0.207, p > 0.05) (Table 2 B), although sex differences in correlation coefficients did not reach statistical significance (p = 0.14). The same results were obtained when IBI, rather than HR, was used as index of cardiac chronotropy. Further, results were consistent when correlation coefficients were computed separately for the 12-h light (Table 3) and 12-h dark (Table 4) phases of the daily cycle.

TABLE 2
www.frontiersin.org

TABLE 2. Correlation coefficients in the full sample and stratified by sex for 24-h values of cardiac chronotropy and heart rate variability.

TABLE 3
www.frontiersin.org

TABLE 3. Correlation coefficients in the full sample and stratified by sex for 12-h values of cardiac chronotropy and heart rate variability during the light phase of the daily cycle.

TABLE 4
www.frontiersin.org

TABLE 4. Correlation coefficients in the full sample and stratified by sex for 12-h values of cardiac chronotropy and heart rate variability during the dark phase of the daily cycle.

3.3 Prediction of HR by HRV indexes and the moderating role of sex

Significant negative associations were found between (ln)RMSSD and HR [B = −45.5 (22.9) (confidence intervals: −90.9, −0.1], p < 0.05] and (ln)HF and HR [B = −30.9 (11.1) (confidence intervals: −52.9, −8.9), p < 0.05], independently from sex. The Johnson-Neyman technique revealed that in rats with (ln)RMSSD above 0.45 and (ln)HF above 0.17, respectively, females showed higher HR than males (Figures 2, 3). Sex significantly moderated the association between 24-h values of (ln)SDNN and HR [R2Δ = 0.05, B = −30.1 (12.8) (confidence intervals: −75.4, −15.2), p < 0.05], such that female rats showed a stronger negative association [B = −54.2 (15.7) (confidence intervals: −85.5, −22.9), p < 0.05] compared to male rats [B = −24.1 (16.5) (confidence intervals: −56.8, 8.6), p > 0.05]. The Johnson-Neyman technique showed that in rats with (ln)SDNN below 2.33, females had higher HR than males. No significant associations were found between (ln)LF and HR.

FIGURE 2
www.frontiersin.org

FIGURE 2. The left panel shows a scatterplot of 24-h values of (ln)RMSSD and heart rate as a function of sex. The right panel illustrates the prediction of heart rate values in both sexes at low, mean, and high (ln)RMSSD values. Higher and lower estimates of (ln)RMSSD were derived from ±1SD from the mean. (ln)RMSSD = natural log-transformed root mean square of successive beat-to-beat interval differences.

FIGURE 3
www.frontiersin.org

FIGURE 3. The left panel shows a scatterplot of 24-h values of (ln)HF and heart rate as a function of sex. The right panel illustrates the prediction of heart rate values in both sexes at low, mean, and high (ln)HF values. Higher and lower estimates of (ln)HF were derived from ±1SD from the mean. (ln)HF, natural log-transformed high frequency power.

4 Discussion

In this study, we analyzed 24-h ECG recordings in freely moving young adult wild-type Groningen rats to investigate the extent to which cardiac chronotropic control differs as a function of biological sex.

Our first hypothesis that female rats would show greater vmHRV (i.e., RMSSD and HF indexes) and higher HR—and lower IBI - compared to male rats was confirmed by the present results. These findings replicate the paradoxical cardiac chronotropic control observed in humans (Koenig and Thayer, 2016), since higher vmHRV is typically associated with lower HR and longer IBI. Notably, female rats had approximately 0.7 standard deviation (Cohen’s d) higher HR and lower IBI than males, with the magnitude of this sex difference being greater than those reported in a previous human meta-analysis (Hedge’s g = 0.36 for IBI) (Koenig and Thayer, 2016) and in a recent study in young adult humans (d = 0.30 for HR and d = 0.27 for IBI) (Williams et al., 2022). Further, female rats showed greater cardiac vagal modulation indexed by both RMSSD and HF power of HRV, while women were found to exhibit higher HF, but not RMSSD, values (Koenig and Thayer, 2016; Williams et al., 2022). Notably, while HR was higher in women compared to men especially at lower levels of vmHRV (Williams et al., 2022), here we show that at any given level of vmHRV (RMSSD and HF) female rats showed higher HR than male rats. Therefore, the sex paradox in cardiac chronotropic control (i.e., greater vmHRV but faster HR in females) seems more evident in this sample (n = 132) of young adult rats than that previously described in a large sample of young adult humans (n = 628, mean age = 19.22 ± 1.68 years) (Williams et al., 2022) and in the human meta-analysis (Koenig and Thayer, 2016). This could be due to the numerous anthropometric (e.g., body mass index), lifestyle (e.g., smoking; physical activity), and/or environmental (e.g., social stress) variables known to influence HRV in healthy subjects (Fagard et al., 1999; Aeschbacher et al., 2016; Kim et al., 2018), which could attenuate sex differences in humans but can clearly be controlled for and standardized in rats born and raised in a laboratory environment.

Of note, in a previous study we demonstrated that pharmacological blockade of cardiac vagal influences with the muscarinic receptor antagonist methylscopolamine provoked a nearly complete reduction of RMSSD values and HF power in the same wild-type Groningen strain used in the current investigation (Carnevali et al., 2013a). This strongly supports the use of RMSSD values and HF power of HRV as indexes of vagal modulation in rats, as in humans (Laborde et al., 2017). Relatedly, a strong positive correlation between vagus nerve electrical activity and HF power has been demonstrated in anesthetized rats (Kuo et al., 2005), although a recent study failed to replicate this finding but in a very small number of rats (Marmerstein et al., 2021). On the other hand, SDNN and LF power are generally thought to reflect both vagal and sympathetic influences in humans (Laborde et al., 2017), with contrasting views on whether LF power can be used as an index of baroreflex function (e.g., Rahman et al., 2011; Martelli et al., 2014). Nevertheless, men showed higher SDNN and LF power of HRV than women (Koenig and Thayer, 2016; Williams et al., 2022), whereas in this study in rats we observed the opposite phenomenon. To explain this discrepancy, we found strong correlations between time-domain HRV indexes (i.e., SDNN and RMSSD) and between frequency-domain HRV indexes (LF and HF power), suggesting that SDNN values and LF power mostly capture cardiac vagal modulation in rats. Relatedly, in a previous study in young adult mice, methylscopolamine administration provoked a drastic reduction not only in RMSSD values and HF power, but also in SDNN values and HF power (Piantoni et al., 2021). Therefore, if female rats had greater vmHRV than male rats and vagal influences are also reflected in SDNN values and LF power, then it is not surprising that these HRV parameters were higher in female than male rats.

Our second hypothesis that the association between vmHRV and measures of cardiac chronotropy would be stronger in female than male rats was not fully supported by the current results. Specifically, female rats showed significantly stronger association between SDNN and both HR and IBI, replicating human findings (Williams et al., 2022). On the other hand, sex differences in the association between other HRV metrics (RMSSD, HF and LF) and indexes of cardiac chronotropy did not reach statistical significance, unlike in humans (Williams et al., 2022). Nevertheless, in comparing the current results in young adult rats with those reported in the sample of young adult humans (Williams et al., 2022), we ought to underline two important aspects. First, associations between vmHRV and indexes of cardiac chronotropy seem, in general, stronger in humans than rats. For example, the correlation coefficient for the association between RMSSD and HR was −.636 in humans (Williams et al., 2022) and −.327 in this sample of rats. However, in humans the analysis was conducted on a 5-min recording period during which participants sat in a resting position (Williams et al., 2022) and presumably vagal modulation had a stronger influence on cardiac chronotropy, whereas in rats the analysis was conducted on 24-h recordings during which rats were free to move and behave. Therefore, it would be interesting to investigate whether the associations between 24-h indexes of vmHRV and cardiac chronotropy in humans are weaker than those reported for 5-min baseline recordings and similar to those reported here in rats. The second aspect relates to sex differences in correlation coefficients. For example, the association between RMSSD and HR was significantly stronger in women (−.698) than man (−.560) in the previously studied large sample (n = 628) of young adult participants (Williams et al., 2022). In this smaller sample of young adult rats (n = 132), the magnitude of this sex difference was somewhat replicated (females = −.534 vs. males = −.394) and failure to reach full statistical significance may be due to insufficiently powered analysis.

4.1 Implications for translational research

Nowadays, the use of HRV as a polyvalent prognostic tool and reliable health indicator spans across researchers and practitioners from many different fields (Laborde et al., 2022). HRV is also assessed in rat models to increase the knowledge of the role of cardiac vagal modulation in several (patho)physiological processes (e.g., Sgoifo et al., 1997; Wood et al., 2012; Lee et al., 2013; Carnevali and Sgoifo, 2014; Chuang et al., 2017; Morais-Silva et al., 2019). To comprehensively appreciate the translational value of HRV measurement in rats, it is imperative that core biological characteristics that influence HRV in humans have the same effects in rats. Here, we demonstrate that biological sex influences the relationship between vmHRV and cardiac chronotropy in rats in a way that resembles the difference described between women and men. Therefore, the current results i) support the translational value of HRV findings in rat models, and ii) strongly recommend preclinical researchers to ensure that the HRV data obtained in rats of one sex are not generalized to both sexes, or, when possible, use both males and females. Further, studies in rats have shown that i) vagal nerve stimulation leads to greater cardiac effects in female than male rats, presumably due to a higher level of ACh release following nerve activation (Du et al., 1994), that ii) the enzymatic breakdown of ACh occurs slower in newborn female than male rats (Loy and Sheldon, 1987), and that iii) the synthesis and clearance of neurotransmitters, including ACh, in both the heart and vasculature are regulated by sex hormones (Dart et al., 2002). Intriguingly, a recent study (Leung et al., 2021) explored sex differences in the rat intrinsic cardiac nervous system, which includes the network of the intracardiac ganglia and interconnecting neurons that receive inputs from both local afferent and extrinsic autonomic (vagal and sympathetic) nerves (Achanta et al., 2020). The authors found that female rat hearts had fewer neurons and lower packing density than males, which may explain some of the sex differences observed at a functional level (Leung et al., 2021). Given such findings and the current results, we believe that rat models offer an important opportunity to systematically investigate the neuro-hormonal basis of the sex difference in the relationship between vmHRV and cardiac chronotropy. Importantly, an age-dependent decline in HRV has been described in humans and, similarly, cross-sectional evidence suggests that HRV is reduced in aged male rats and mice (Rossi et al., 2014; Piantoni et al., 2021). Therefore, given the relatively short lifespan of rodents compared to other animal species, it would be interesting to adopt longitudinal protocols in rodents to consider how sex differences in the association between HRV and cardiac chronotropy may be more or less evident with advancing age and the role of sex hormones.

4.2 Conclusion

Overall, the current study in a relatively large sample of freely moving young adult rats provides data illustrating a sex-dependent association between vmHRV and indexes of cardiac chronotropy. In particular, female rats showed greater vmHRV and higher HR than male rats, replicating the sex paradox described in humans (Koenig and Thayer, 2016), and a relatively stronger association between HRV and HR, as observed in young adult humans (Williams et al., 2022). We acknowledge that these results were obtained in wild-type Groningen rats and should be confirmed in different rat strains and potentially in other animal species, such as rabbits, with a more similar cardiovascular system to humans to increase their validity and generalizability. Moreover, the analysis was conducted on ECG signals recorded during undisturbed, baseline conditions to exclude the effects of environmental factors (e.g., stress exposure) on HRV measures, but the potential influence of trait behavioral characteristics was not considered. Nevertheless, the current results support the translational value of HRV findings in rat models and suggest researchers to always consider biological sex in the analysis and, most importantly, interpretation of HRV data in rats. Lastly, the present results represent, in our view, a solid starting point for a systematic investigation of the neuro-hormonal basis and temporal evolution of the impact of biological sex on the association between vmHRV and cardiac chronotropy in rats, which could inform the human condition.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The animal study was reviewed and approved by the Ministry of Health, Italian legislation on animal experimentation (D.L. 04/04/2014, n. 26, authorization of the ongoing study n.473/2022-PR).

Author contributions

LC performed statistical analyses and wrote the first draft of the paper; MB and RS conducted the experiments and analyzed the data; DW, JT, and AS revised the article critically for important intellectual content.

Funding

Funder: Project funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3—Call for tender No. 341 of 15/03/2022 of Italian Ministry of University and Research funded by the European Union–NextGenerationEU. Award Number: Project code PE0000006, Concession Decree No. 1553 of 11/10/2022 adopted by the Italian Ministry of University and Research, CUP D93C22000930002, “A multiscale integrated approach to the study of the nervous system in health and disease” (MNESYS).

Acknowledgments

This work has benefited from the equipment and framework of the COMP-R Initiative, funded by the “Departments of Excellence” program of the Italian Ministry for University and Research (MUR, 2023–2027).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Achanta, S., Gorky, J., Leung, C., Moss, A., Robbins, S., Eisenman, L., et al. (2020). A comprehensive integrated anatomical and molecular atlas of rat intrinsic cardiac nervous system. iScience 23 (6), 101140. doi:10.1016/j.isci.2020.101140

PubMed Abstract | CrossRef Full Text | Google Scholar

Aeschbacher, S., Bossard, M., Ruperti Repilado, F. J., Good, N., Schoen, T., Zimny, M., et al. (2016). Healthy lifestyle and heart rate variability in young adults. Eur. J. Prev. Cardiol. 23 (10), 1037–1044. doi:10.1177/2047487315623708

PubMed Abstract | CrossRef Full Text | Google Scholar

Andolina, D., Savi, M., Ielpo, D., Barbetti, M., Bocchi, L., Stilli, D., et al. (2021). Elevated miR-34a expression and altered transcriptional profile are associated with adverse electromechanical remodeling in the heart of male rats exposed to social stress. Stress 24 (5), 621–634. doi:10.1080/10253890.2021.1942830

PubMed Abstract | CrossRef Full Text | Google Scholar

Axsom, J. E., Nanavati, A. P., Rutishauser, C. A., Bonin, J. E., Moen, J. M., and Lakatta, E. G. (2020). Acclimation to a thermoneutral environment abolishes age-associated alterations in heart rate and heart rate variability in conscious, unrestrained mice. GeroScience 42 (1), 217–232. doi:10.1007/s11357-019-00126-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartos, D. C., Grandi, E., and Ripplinger, C. M. (2015). Ion channels in the heart. Compr. Physiol. 5 (3), 1423–1464. doi:10.1002/cphy.c140069

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnevali, L., Mastorci, F., Graiani, G., Razzoli, M., Trombini, M., Pico-Alfonso, M. A., et al. (2012). Social defeat and isolation induce clear signs of a depression-like state, but modest cardiac alterations in wild-type rats. Physiology Behav. 106 (2), 142–150. doi:10.1016/j.physbeh.2012.01.022

CrossRef Full Text | Google Scholar

Carnevali, L., and Sgoifo, A. (2014). Vagal modulation of resting heart rate in rats: The role of stress, psychosocial factors, and physical exercise. Front. physiology 5, 118. doi:10.3389/fphys.2014.00118

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnevali, L., Statello, R., and Sgoifo, A. (2019). Resting heart rate variability predicts vulnerability to pharmacologically-induced ventricular arrhythmias in male rats. J. Clin. Med. 8 (5), 655. doi:10.3390/jcm8050655

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnevali, L., Statello, R., Vacondio, F., Ferlenghi, F., Spadoni, G., Rivara, S., et al. (2020). Antidepressant-like effects of pharmacological inhibition of FAAH activity in socially isolated female rats. Eur. Neuropsychopharmacol. J. Eur. Coll. Neuropsychopharmacol. 32, 77–87. doi:10.1016/j.euroneuro.2019.12.119

CrossRef Full Text | Google Scholar

Carnevali, L., Trombini, M., Graiani, G., Madeddu, D., Quaini, F., Landgraf, R., et al. (2014). Low vagally-mediated heart rate variability and increased susceptibility to ventricular arrhythmias in rats bred for high anxiety. Physiology Behav. 128, 16–25. doi:10.1016/j.physbeh.2014.01.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnevali, L., Trombini, M., Porta, A., Montano, N., de Boer, S. F., and Sgoifo, A. (2013a). Vagal withdrawal and susceptibility to cardiac arrhythmias in rats with high trait aggressiveness. PloS one 8 (7), e68316. doi:10.1371/journal.pone.0068316

PubMed Abstract | CrossRef Full Text | Google Scholar

Carnevali, L., Trombini, M., Rossi, S., Graiani, G., Manghi, M., Koolhaas, J. M., et al. (2013b). Structural and electrical myocardial remodeling in a rodent model of depression. Psychosom. Med. 75 (1), 42–51. doi:10.1097/PSY.0b013e318276cb0d

PubMed Abstract | CrossRef Full Text | Google Scholar

Chuang, H. C., Lin, Y. J., Chou, C. C. K., Hwang, J. S., Chen, C. C., Yan, Y. H., et al. (2017). Alterations in cardiovascular function by particulate matter in rats using a crossover design. Environ. Pollut. 231 (1), 812–820. doi:10.1016/j.envpol.2017.08.082

PubMed Abstract | CrossRef Full Text | Google Scholar

Dart, A. M., Du, X. J., and Kingwell, B. A. (2002). Gender, sex hormones and autonomic nervous control of the cardiovascular system. Cardiovasc. Res. 53 (3), 678–687. doi:10.1016/s0008-6363(01)00508-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, X. J., Dart, A. M., and Riemersma, R. A. (1994). Sex differences in the parasympathetic nerve control of rat heart. Clin. Exp. Pharmacol. physiology 21 (6), 485–493. doi:10.1111/j.1440-1681.1994.tb02545.x

CrossRef Full Text | Google Scholar

Fagard, R. H., Pardaens, K., and Staessen, J. A. (1999). Influence of demographic, anthropometric and lifestyle characteristics on heart rate and its variability in the population. J. Hypertens. 17 (11), 1589–1599. doi:10.1097/00004872-199917110-00013

PubMed Abstract | CrossRef Full Text | Google Scholar

Gehrmann, J., Hammer, P. E., Maguire, C. T., Wakimoto, H., Triedman, J. K., and Berul, C. I. (2000). Phenotypic screening for heart rate variability in the mouse. Am. J. physiology. Heart circulatory physiology 279 (2), H733–H740. doi:10.1152/ajpheart.2000.279.2.H733

CrossRef Full Text | Google Scholar

Grippo, A. J., Moffitt, J. A., and Johnson, A. K. (2002). Cardiovascular alterations and autonomic imbalance in an experimental model of depression. Am. J. physiology. Regul. Integr. Comp. physiology 282 (5), R1333–R1341. doi:10.1152/ajpregu.00614.2001

CrossRef Full Text | Google Scholar

Ishii, K., Kuwahara, M., Tsubone, H., and Sugano, S. (1996). Autonomic nervous function in mice and voles (Microtus arvalis): Investigation by power spectral analysis of heart rate variability. Lab. Anim. 30 (4), 359–364. doi:10.1258/002367796780739880

PubMed Abstract | CrossRef Full Text | Google Scholar

Japundzic, N., Grichois, M. L., Zitoun, P., Laude, D., and Elghozi, J. L. (1990). Spectral analysis of blood pressure and heart rate in conscious rats: Effects of autonomic blockers. J. Aut. Nerv. Syst. 30 (2), 91–100. doi:10.1016/0165-1838(90)90132-3

CrossRef Full Text | Google Scholar

Kim, H. G., Cheon, E. J., Bai, D. S., Lee, Y. H., and Koo, B. H. (2018). Stress and heart rate variability: A meta-analysis and review of the literature. Psychiatry investig. 15 (3), 235–245. doi:10.30773/pi.2017.08.17

PubMed Abstract | CrossRef Full Text | Google Scholar

Koenig, J., and Thayer, J. F. (2016). Sex differences in healthy human heart rate variability: A meta-analysis. Neurosci. Biobehav. Rev. 64, 288–310. doi:10.1016/j.neubiorev.2016.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuo, T. B., Lai, C. J., Huang, Y. T., and Yang, C. C. (2005). Regression analysis between heart rate variability and baroreflex-related vagus nerve activity in rats. J. Cardiovasc. Electrophysiol. 16 (8), 864–869. doi:10.1111/j.1540-8167.2005.40656.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Laborde, S., Mosley, E., Bellenger, C., and Thayer, J. (2022). Editorial: Horizon 2030: Innovative applications of heart rate variability. Front. Neurosci. 16, 937086. doi:10.3389/fnins.2022.937086

PubMed Abstract | CrossRef Full Text | Google Scholar

Laborde, S., Mosley, E., and Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research - recommendations for experiment planning, data analysis, and data reporting. Front. Psychol. 8, 213. doi:10.3389/fpsyg.2017.00213

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H. W., Han, T. H., Yi, K. J., Choi, M. C., Lee, S. Y., and Ryu, P. D. (2013). Time course of diurnal rhythm disturbances in autonomic function of rats with myocardial infarction. Aut. Neurosci. basic and Clin. 179 (1-2), 28–36. doi:10.1016/j.autneu.2013.06.007

CrossRef Full Text | Google Scholar

Leung, C., Robbins, S., Moss, A., Heal, M., Osanlouy, M., Christie, R., et al. (2021). 3D single cell scale anatomical map of sex-dependent variability of the rat intrinsic cardiac nervous system. iScience 24 (7), 102795. doi:10.1016/j.isci.2021.102795

PubMed Abstract | CrossRef Full Text | Google Scholar

Loy, R., and Sheldon, R. A. (1987). Sexually dimorphic development of cholinergic enzymes in the rat septohippocampal system. Brain Res. 431 (1), 156–160. doi:10.1016/0165-3806(87)90205-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Martelli, D., Silvani, A., McAllen, R. M., May, C. N., and Ramchandra, R. (2014). The low frequency power of heart rate variability is neither a measure of cardiac sympathetic tone nor of baroreflex sensitivity. Am. J. physiology. Heart circulatory physiology 307 (7), H1005–H1012. doi:10.1152/ajpheart.00361.2014

CrossRef Full Text | Google Scholar

McCabe, P. M., Yongue, B. G., Ackles, P. K., and Porges, S. W. (1985). Changes in heart period, heart-period variability, and a spectral analysis estimate of respiratory sinus arrhythmia in response to pharmacological manipulations of the baroreceptor reflex in cats. Psychophysiology 22 (2), 195–203. doi:10.1111/j.1469-8986.1985.tb01585.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Morais-Silva, G., Costa-Ferreira, W., Gomes-de-Souza, L., Pavan, J. C., Crestani, C. C., and Marin, M. T. (2019). Cardiovascular outcomes related to social defeat stress: New insights from resilient and susceptible rats. Neurobiol. stress 11, 100181. doi:10.1016/j.ynstr.2019.100181

PubMed Abstract | CrossRef Full Text | Google Scholar

Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., et al. (1986). Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circulation Res. 59 (2), 178–193. doi:10.1161/01.res.59.2.178

PubMed Abstract | CrossRef Full Text | Google Scholar

Piantoni, C., Carnevali, L., Molla, D., Barbuti, A., DiFrancesco, D., Bucchi, A., et al. (2021). Age-Related changes in cardiac autonomic modulation and heart rate variability in mice. Front. Neurosci. 15, 617698. doi:10.3389/fnins.2021.617698

PubMed Abstract | CrossRef Full Text | Google Scholar

Rahman, F., Pechnik, S., Gross, D., Sewell, L., and Goldstein, D. S. (2011). Low frequency power of heart rate variability reflects baroreflex function, not cardiac sympathetic innervation. Clin. Aut. Res. official J. Clin. Aut. Res. Soc. 21 (3), 133–141. doi:10.1007/s10286-010-0098-y

CrossRef Full Text | Google Scholar

Rossi, S., Fortunati, I., Carnevali, L., Baruffi, S., Mastorci, F., Trombini, M., et al. (2014). The effect of aging on the specialized conducting system: A telemetry ECG study in rats over a 6 month period. PloS one 9 (11), e112697. doi:10.1371/journal.pone.0112697

PubMed Abstract | CrossRef Full Text | Google Scholar

Sgoifo, A., de Boer, S. F., Westenbroek, C., Maes, F. W., Beldhuis, H., Suzuki, T., et al. (1997). Incidence of arrhythmias and heart rate variability in wild-type rats exposed to social stress. Am. J. Physiol. 273 (4), H1754–H1760. doi:10.1152/ajpheart.1997.273.4.H1754

PubMed Abstract | CrossRef Full Text | Google Scholar

Sgoifo, A., Stilli, D., Medici, D., Gallo, P., Aimi, B., and Musso, E. (1996). Electrode positioning for reliable telemetry ECG recordings during social stress in unrestrained rats. Physiology Behav. 60 (6), 1397–1401. doi:10.1016/s0031-9384(96)00228-4

CrossRef Full Text | Google Scholar

Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychol. Bull. 87 (2), 245–251. doi:10.1037/0033-2909.87.2.245

CrossRef Full Text | Google Scholar

Tan, C. O., Cohen, M. A., Eckberg, D. L., and Taylor, J. A. (2009). Fractal properties of human heart period variability: Physiological and methodological implications. J. physiology 587 (15), 3929–3941. doi:10.1113/jphysiol.2009.169219

CrossRef Full Text | Google Scholar

Williams, D. P., Joseph, N., Gerardo, G. M., Hill, L. K., Koenig, J., and Thayer, J. F. (2022). Gender differences in cardiac chronotropic control: Implications for heart rate variability research. Appl. Psychophysiol. biofeedback 47 (1), 65–75. doi:10.1007/s10484-021-09528-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Wood, S. K., McFadden, K. V., Grigoriadis, D., Bhatnagar, S., and Valentino, R. J. (2012). Depressive and cardiovascular disease comorbidity in a rat model of social stress: A putative role for corticotropin-releasing factor. Psychopharmacology 222 (2), 325–336. doi:10.1007/s00213-012-2648-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: vagal, rats, sex differences, heart rate, heart rate variabiity (HRV)

Citation: Carnevali L, Barbetti M, Statello R, Williams DP, Thayer JF and Sgoifo A (2023) Sex differences in heart rate and heart rate variability in rats: Implications for translational research. Front. Physiol. 14:1170320. doi: 10.3389/fphys.2023.1170320

Received: 20 February 2023; Accepted: 16 March 2023;
Published: 24 March 2023.

Edited by:

Claire Marie Rangon, Fondation Ophtalmologique Adolphe de Rothschild, France

Reviewed by:

Hatice Tolunay, Gulhane Training and Research Hospital, Türkiye
Stefan Kampusch, AURIMOD GmbH, Austria

Copyright © 2023 Carnevali, Barbetti, Statello, Williams, Thayer and Sgoifo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Luca Carnevali, bHVjYS5jYXJuZXZhbGlAdW5pcHIuaXQ=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.