Effects of different intensities of exercise on folliculogenesis in mice: Which is better?
Article information
Abstract
Objective
Exercise is a risk factor for infertility in women. However, research on the effects of different intensities of exercise on folliculogenesis has not yielded clear results. This study was conducted to analyze the effects of differences in the intensity of exercise on folliculogenesis in mice.
Methods
Nineteen female BALB/c mice (age, 3–4 months; weight, 13–25 g) were randomly divided into four groups: control, mild exercise, moderate exercise, and high-intensity exercise. The mice in the exercise groups engaged in swimming, with additional loads of 3%, 6%, or 9% of body weight, respectively. There were five swimming sessions per week for 4 weeks, with a gradually increasing duration every week. At the end of the treatment, ovarian extraction was carried out and hematoxylin and eosin staining was performed to identify folliculogenesis.
Results
There were significant differences in the number of total follicles between the control and moderate-exercise groups (p=0.036) and between the mild- and moderate-exercise groups (p=0.005). The mean number of primary follicles was higher in the moderate-exercise group than in the mild-exercise group (p=0.006). The mean number of secondary, tertiary, and Graafian follicles did not differ significantly among groups (p≥0.05). However, the number of total follicles and follicles in each phase tended to increase after exercise, especially moderate-intensity exercise.
Conclusion
Exercise of different intensities affected the total number of follicles and primary follicles. The number of follicles of each phase tended to increase after exercise. Moderate-intensity exercise had better effects than other intensities of exercise.
Introduction
Over the past few decades, more women have participated in competitive sports and become athletes [1,2]. Exercise has positive effects on the body and improves health in various ways, but it can also increase the risk of infertility in women [3,4]. Different intensities of physical exercise have different effects on the female reproductive system [3]. The female reproductive system is very sensitive to physiological changes, and 6%-79% of women involved in athletic activity experience menstrual disorders such as amenorrhea [1]. Exercise can increase levels of β-endorphins and dopamine, which can interfere with gonadotropin-releasing hormone (GnRH) pulses, thereby inhibiting follicle-stimulating hormone (FSH) production [5,6]. Exercise also triggers oxidative stress, which results in apoptosis in granulosa cells, including ovarian follicles [7,8]. Both of these mechanisms can cause folliculogenesis disorders, with important implications for female reproductive physiological function, which is closely related to folliculogenesis.
Kelley et al. [9] conducted a 3-week exercise study on mares, involving running, to identify changes in the number of follicles based on their diameter, and found no significant differences in the number of large follicles. A similar study was performed by Seyed Saadat et al. [4], who reported a decrease in the number of secondary follicles and Graafian follicles, but no significant differences in primary and primordial follicles in mice forced to swim after being placed in water with temperatures of 10°C and 23°C. The effects of differences in the intensity of exercise on folliculogenesis are unknown. The aim of this study was therefore to analyze the effects of exercise of different intensities on folliculogenesis using a histological technique (hematoxylin and eosin [H&E] staining). Folliculogenesis in this study was observed indirectly, by calculating the total follicle number and the number of each type of follicle. It is hoped that the data obtained from this study could provide insights into the effects of exercise at various intensities on women’s reproductive health.
Methods
This animal study was approved by the Ethics Committee of the Faculty of Medicine, Universitas Airlangga, Indonesia (43/EC/KEPK/FKUA/2019), and conduct was given to conduct the study at the Faculty of Veterinary Medicine, Universitas Airlangga, Indonesia. This study was a randomized, cross-sectional study with a post-test–only control group design.
1. Animals and exercise procedure
The research was conducted at the Faculty of Veterinary Medicine, Universitas Airlangga. In this study, 19 female BALB/c (age, 3-4 months; weight, 13-25 g) were housed under standard laboratory condition (12-hour light/dark cycle) with free access to tap water and chow. The treatment flow is summarized in Figure 1. The mice were randomly divided into four groups: control (no exercise), mild exercise (swimming with an additional load of 3% of body weight), moderate exercise (swimming with an additional load of 6% of body weight), high-intensity exercise (swimming with an additional load of 9% of body weight). The intensities of swimming were determined following the workload levels described by Bompa and Carrera [10]. The choice of different intensities based on the percentage load of body weight was based on the findings reported by Gobatto et al. [11], who showed that, in rats subjected to different intensities of swimming, a 6% load corresponded to the maximal lactate steady state, while an 8% load represented higher exercise intensity. This study therefore compared intensities below the anaerobic threshold (3%), around the anaerobic threshold (6%), and above the threshold (9%).
The swimming protocol was adapted from Herawati et al. [12]. We used a rectangular polyethylene tank (50 cm long×30 cm deep×25 cm wide) with 18-cm-deep water at 20°C±5°C. The swimming sessions each lasted for 3 minutes in the first week and increased gradually in length; the sessions in the second week lasted for 5 minutes, those in the third week lasted for 7 minutes, and those in the final week lasted for 9 minutes a day. Gradual improvement is the principle of exercise, and this design also aimed to avoid death in mice [13]. Treatment was given five times per week (Monday to Friday) for 4 weeks [12]. The swimming treatments in all groups were carried out during the day. To ensure that the mice were aligned in terms of the reproduction phase, all mice started the swimming program when they were in the estrus phase, as seen from the results of vaginal swabs.
At the end of the treatment, the next morning, the mice were sacrificed using 70% ether anesthesia and the medial part of the abdomen was surgically removed to retrieve the ovary. The ovaries then were processed for histology preparation with H&E staining. Before H&E staining, the ovaries were embedded in paraffin or wax blocks to enable clean thin-section cutting. A microtome was used to cut the paraffin blocks into approximately 2-µm-thick samples.
2. Folliculogenesis in the ovary
Folliculogenesis was observed with a light microscope with ×100 magnification (Figure 2). Folliculogenesis was quantified by calculating the total number of primary, secondary, tertiary, and Graafian follicles, classified based on their morphology, in five visual fields for each preparation. Follicles were classified as primary if they showed a single layer of cuboidal granulosa cells. Secondary follicles possessed more than one layer of granulosa cells with no visible antrum. Tertiary follicles possessed generally only one or two small areas of follicular fluid (antrum). Graafian follicles had a rim of cumulus cells surrounding the oocyte [14]. The follicle calculations were made by two observers (FKR and BAP) and the data were presented as averages for each group.
3. Statistical analysis
Data were analyzed using IBM SPSS ver. 21.0 (IBM Corp., Armonk, NY, USA). One-way analysis of variance (ANOVA) was used when the data were normally distributed, and the Kruskal-Wallis test when the data were not normally distributed. Once a significant difference was found, it was confirmed using the post-hoc least significance difference or Mann-Whitney test. The significance level used was 5%.
Results
1. Characteristics of subjects
The body weight of the mice increased during treatment in all groups (Table 1). The highest increase was found in the control group and the lowest increase was found in the moderate-intensity group. However, according to ANOVA, the body weight increase was not significantly different among the groups (p=0.784).
2. Total follicles
There were significant differences in the number of total follicles between the control group and the moderate-exercise group (p=0.036) and between the mild-exercise group and the moderate-exercise group (p=0.005) (Table 2). Compared to the control group, a higher intensity of exercise corresponded to a higher total number of follicles. However, the peak number of total follicles was in the moderate-exercise group (Figure 1).
3. Primary follicles
The number of primary follicles differed significantly between the mild-exercise group and the moderate-exercise group (p=0.006) (Table 2). More intense exercise was associated with a higher number of primary follicles than in the control group. The highest number of primary follicles was in the moderate-exercise group.
4. Secondary follicles
The number of secondary follicles was higher in the groups that received exercise training, although there were no significant differences between the control and treatment groups (p=0.096) (Table 2).
5. Tertiary follicles
More tertiary follicles were found in the treatment groups, but the difference compared to the control group was not significant (p=0.414) (Table 2).
6. Graafian follicles
The Graafian follicle count was higher in the groups that received exercise training, but there were no significant differences among the groups (p=0.714) (Table 2).
Discussion
In this study, no significant differences among groups were found in the increase in mice body weight before and after treatment. The greatest increase in body weight occurred in the control group, and the lowest increase in the moderate-intensity group. Regular exercise is an important component of supporting the long-term reduction of overweight. Changes in body weight occur as a result of compensatory mechanisms by the body. Increased energy expenditure due to exercise also increases food intake, as mediated by the hormone leptin. Low leptin levels can increase the risk of infertility due to increased body weight [1,15]. Leptin levels tend to be stable when there is a balance between energy expenditure and energy intake.
During exercise, there is a reciprocal relationship between the balance of energy and the hypothalamus-pituitary-gonadal axis, triggering proper development of ovarian follicles [15,16]. The present study showed a tendency for the number of follicles to be higher in the treatment groups than in the control group. This aligns with the findings of Kiranmayee et al. [17] regarding the effects of moderate-intensity exercise on markers of ovarian reserve in women with normal weight. The average antral follicular count was also higher in the exercise groups, although the difference was not significant. The study also revealed that moderate exercise had a positive influence on ovarian reserve profile, as the number of apoptotic follicles was lower in the groups that underwent exercise training. This implies that exercise improves the maturation of follicles, with positive impacts on women’s fertility [18].
This study found that moderate-intensity exercise had better effects on the development of ovarian follicles than mild or high-intensity exercise. Generally, exercise may inhibit the reproductive axis through direct or indirect inhibition of GnRH by corticotropin-releasing hormone, β-endorphin, and glucocorticoids, thereby reducing the secretion of luteinizing hormone (LH) and FSH, as well as the hormonal secretion of the gonads, and rendering the target tissues of sex steroids resistant to these hormones [19]. However, some studies have reported that exercise of various intensities had different effects on ovarian follicle. In addition to our study, Kiranmayee et al. [17] conducted a study on 162 women at ages between 19 and 42 and found that moderate-intensity physical activity was associated with higher levels of anti-Müllerian hormone and FSH. Physical activity may influence the neurohumoral modulation of the metabolic pathways involved in energy metabolism and reproduction [20]. Moderate exercise may increase the responsiveness and sensitivity of the follicle to FSH and LH with a concomitant improvement in ovulatory status in young women [21]. Therefore, follicles developed to a greater extent in response to moderate-intensity exercise than in response to mild or high-intensity exercise.
The acute response of cortisol, which is associated with increased adrenocorticotropic hormone concentrations, was greater during high-intensity exercise than during moderate-intensity exercise [22]. Increased cortisol concentrations can suppress the synthesis of steroid hormones and can even impair the preovulatory LH surge, resulting in ovulation failure. Suppression of the LH surge can impair follicle development and estrogen synthesis, as well as increasing the formation of follicular atresia [23]. An increase in the plasma cortisol concentration initiates negative feedback of estrogen, which then suppresses the frequency or amplitude of GnRH, reducing the secretion of gonadotropins, ultimately inhibiting ovulation and triggering the formation of small ovarian cysts [24]. In contrast, low-intensity exercises may lead to a decrease in blood cortisol levels by increasing clearance [25]. Therefore, follicular development is less disturbed by mild-intensity exercise than by high-intensity exercise. However, mild-intensity exercise was still associated with less favorable follicular development than moderate-intensity exercise, which may be because moderate-intensity exercise elicits a better response to FSH and LH [21].
Primary follicles are independent of gonadotropins and therefore do not depend on FSH [26]. Consequently, reduced FSH levels due to physical exercise will not affect primary follicles. In this study, the number of primary follicles was significantly higher in the exercise groups than in the control group. This result aligns with those reported by Kelley et al. [9], who investigated outcomes in mares in response to a 3-week running intervention and showed significant differences in the number of small-diameter (primary) follicles compared to the control group. Environmental factors, including nutrition, also have a strong influence on the development of primary follicles. Primordial and primary follicles require a considerable amount of nutrients to continue development; therefore, the nutrients available affect the development of these follicles [27,28]. It can be assumed that there is a balance between the nutrient intake and the energy expenditure of physical exercise. Good nutrition can increase the number of developing primary follicles.
The folliculogenesis stage, in which primary follicles become secondary follicles, is the most common stage at which follicles undergo apoptosis. This is because these follicles are mainly controlled by intrafollicular factors such as growth factors, cytokines, and gonadal steroids, and have not been influenced by FSH. This stage reflects a transitional state from the gonadotropin-independent phase to the gonadotropin-dependent phase [29]. In this study, fewer secondary than primary follicles were observed, because only high-quality follicles were selected for the subsequent stage. Seyed Saadat et al. [4] investigated the effects of forced swimming training with cold and fresh water for 2 weeks on ovarian and uterine parameters in mice, and found fewer secondary follicles in the exercise group than in control group. In contrast, the present study observed higher numbers of secondary follicles in the exercise groups than in the control groups, which may reflect differences in the increase in reactive oxygen species (ROS) in response in different intensities and durations of exercise. ROS play a regulatory role in oocyte maturation, folliculogenesis, ovarian steroidogenesis, and luteolysis. A balance between ROS and antioxidant enzymes in the ovary can protect oocytes [7,30-32].
Tertiary follicles and Graafian follicles are gonadotropin-dependent stages. Hence, their development depends strongly on the production of gonadal hormones such as FSH. Exercise is known to trigger disordered GnRH pulses that can interfere with FSH levels. Folliculogenesis is not only related to the growth of granulosa cells, but also related to the intracrine, paracrine, and autocrine systems. Tertiary and Graafian follicles have more potent defense mechanisms against oxidative stress than primary and secondary follicles. Therefore, even if FSH deficiency occurs, these follicles can still survive until maturation [30,32,33]. This study revealed that the number of tertiary and Graafian follicles tended to increase, although no significant between-group differences were found. This result does not align with the findings of Seyed Saadat et al. [4], who reported significant differences in tertiary and Graafian follicles in mice in response to different water temperatures when swimming. Swimming in cold water (or other types of cold exposure) in mice can affect the hypothalamic-pituitary-adrenal axis, inhibiting the release of FSH and thereby inducing estrus cycle irregularities and some alterations in the morphology of the ovary [34,35]. As a result, our study, which had a longer duration of swimming (4 weeks) and a longer swimming time per session than Seyed Saadat’s study [4], reported a different pattern of ovarian follicles.
Physiologically, the number of follicles decreases from the primary to the Graafian stage, until the follicles become mature, because only follicles that are well developed and highly sensitive to gonadotropins will persist [18,33]. In this study, the decline did not differ significantly among groups, although different patterns were found in each group. The treatment groups showed more favorable development of follicles from the primary to the Graafian stage, with the highest numbers of follicles found in response to moderate-intensity exercise.
Acknowledgements
The authors thank all team members at the embryology laboratory for their technical assistance during the research, the team members at the pathology department for the histological analysis, and Bilqisthi Ari Putra at the pathology department as a second observer for calculation of follicle count (Faculty of Veterinary Medicine, Universitas Airlangga, Indonesia).
Notes
Conflict of interest
No potential conflict of interest relevant to this article was reported.
Author contributions
Conceptualization: LH, FKR. Data curation: FKR, LH, SRD. Formal analysis: FKR, LH. Funding acquisition: LH. Methodology: all authors. Project administration: LH, SRD. Visualization: FKR. Writing-original draft: FKR, LH. Writing-review & editing: LH, SRD, AS.