Introduction

The ongoing global epidemic of chronic non-communicable diseases (NCDs) is related to changes in lifestyle, including low physical activity (PA) levels. Physical inactivity is a major public health challenge (Engberg et al. 2012) and has been defined as the fourth leading cause of death worldwide (Kohl et al. 2012). The health benefits of regular PA are well established, and elimination of physical inactivity would remove between 6 and 10% of NCDs and increase life expectancy (Lee et al. 2012). Moreover, cardiorespiratory fitness (CRF) is a strong predictor of health and longevity (United States Department of Health and Human Services 2008). There are large individual differences in CRF among adults who are sedentary and who have a history of not engaging in regular exercise (Bouchard et al. 2015). The response of CRF to regular exercise is also highly variable, even when the exercise prescription is highly standardized and when compliance is not an issue (Skinner et al. 2001). As shown by the findings of the HERITAGE Family Study, there are many factors contributing to variation in CRF exercise training response (Sarzynski et al. 2016). However, little is known about the relationships between plasma levels of steroid hormones and CRF in the sedentary state or in response to regular exercise in men or women.

Steroid hormones are mainly synthesized from cholesterol in the gonads and adrenal glands but some are also produced in other tissues such as skeletal muscle (Sato and Lemitsu 2015), adipose tissue, liver and others (Luu-The and Labrie 2010; Labrie 2015). Steroid hormones can be grouped into two classes, corticosteroids and sex steroids. Within those two classes, there are five types of hormones depending on the receptors to which they bind: glucocorticoids, mineralocorticoids, androgens, estrogens, and progestogens. Steroid hormones are generally carried in the blood, bound to specific carrier proteins such as sex hormone-binding globulin (SHBG; Hammond 2016) or corticosteroid-binding globulin (Meyer et al. 2016).

Steroid hormones exert a wide variety of effects on cardiorespiratory function. In brief, corticosteroids help mediate the stress response and promote energy replenishment and efficient cardiovascular function (Nicolaides et al. 2015). They also regulate muscle function by acting on muscle mass and strength (Hasan et al. 2012). Mineralocorticoids contribute to the regulation of blood pressure and participate in the regulation of cardiac and vascular function. The mineralocorticoid aldosterone (ALDO) is a key regulator of water and electrolyte homeostasis. Clinical trials have shown the beneficial effects of ALDO antagonists in chronic heart failure and post-myocardial infarction treatment (Lother et al. 2015). Long-term infusion of mineralocorticoid (ALDO) in mice resulted in elevation of plasma interleukin-1β levels and vascular abnormalities (Bruder-Nascimento et al. 2016). Androgens enhance skeletal muscle mass by promoting the enlargement of skeletal muscle cells (Sinha-Hikim et al. 2004). Muscle steroid hormone levels were shown to be positively correlated with muscle strength and cross-sectional area (Sato et al. 2014). Also, androgens inhibit the ability of adipocytes to store lipids by blocking a signal transduction pathway (Singh et al. 2006). Androgen deficiency has been shown to be a major risk factor for several disorders, including obesity, metabolic syndrome, and ischemic heart disease (Pongkan et al. 2016). The CARDIA Male Hormone Study showed that there are associations of androgens with PA and fitness in young black and white men (Wolin et al. 2007). Estrogens have vasculo-protective actions that are thought to prevent atherosclerosis (Reslan and Khalil 2012). Estrogens contribute to the regulation of the delicate balance between fighting infections and protecting arteries from damage, thus lowering the risk of cardiovascular disease (Meyer and Barton 2016). Some cardiovascular effects of estrogens may be counteracted by progestogens (Haddock et al. 2000; Group 2006). Progestogens have favorable effects on lipid, glucose and insulin profiles (Group 2006). Higher sex hormone binding globulin (SHBG) concentration was shown to be associated with a more favorable cardiovascular disease (CVD) risk profile, independent of total testosterone (Canoy et al. 2014).

A significant positive correlation has been observed between the changes in serum testosterone levels and the number of steps executed on a daily basis; this finding suggests that the level of PA affects serum testosterone concentrations in overweight and obese men (Kumagai et al. 2016). Steroid hormones are responsive to acute and chronic endurance exercise. Both acute and chronic exercise influence circulating steroid hormone levels (Sato and Lemitsu 2015) and SHBG (Kim and Kim 2012; Ennour-Idrissi et al. 2015) and activate local steroidogenesis in skeletal muscle (Sato and Lemitsu 2015).

In the present report, we focus on the relationships between plasma levels of adrenal, gonadal and conjugated steroids in the sedentary state and baseline (intrinsic) CRF, as assessed by maximal oxygen uptake (VO2max), as well as its response to a standardized exercise program taking into account factors such as age, gender, ethnicity, and baseline characteristics when appropriate.

Methods

Subjects

The HERITAGE Family Study cohort has been previously described (Bouchard et al. 1995). A total of 488 adults with complete steroid hormones and VO2max data, who were fully compliant with the 20-week HERITAGE aerobic exercise program, were available for the present study. The study protocol had been previously approved by the institutional review board at each of the four clinical centers of HERITAGE. Informed written consent was obtained from each subject.

Anthropometric and Body Composition Measurements

Body weight and height were measured following standardized procedures. Body density was measured using the hydrostatic weighing technique. The mean of the highest three (of 10) measurements was used in the calculation of percent body fat from body density using the equation of Siri (1956). Fat mass was obtained by multiplying body weight by percent body fat. These measurements have been shown to be highly reproducible, with no difference between clinical centers or drift over time in the course of data collection (Wilmore et al. 1997).

Aerobic Exercise Training Program

Each subject in the HERITAGE study exercised three times per week for 20 weeks on cycle ergometers. The intensity of the training was customized for each individual on the basis of heart rate (HR) and VO2max measurements taken at a baseline maximal exercise test. Details of the exercise training protocol can be found elsewhere (Bouchard et al. 1995). Briefly, subjects trained at the HR associated with 55% of baseline VO2max for 30 min per session for the first 2 weeks. The duration and intensity were gradually increased every 2 weeks, until reaching 50 min and 75% of the HR associated with baseline VO2max. This level was maintained for the final six weeks of training. All training was performed on Universal Aerobicycles (Cedar Rapids, IA) and power output was controlled by direct HR monitoring using the Universal Gym Mednet (Cedar Rapids, IA) computerized system. The protocol was standardized across all four clinical centers and supervised to ensure that the equipment was working properly and that participants were compliant with the protocol.

VO2max Measurement

Two maximal exercise tests to measure VO2max were performed on two separate days at baseline and again on two separate days after training using a SensorMedics 800S (Yorba Linda, CA) cycle ergometer and a SensorMedics 2900 metabolic measurement cart (Skinner et al. 2000). The tests were conducted at about the same time of day, with at least 48 h between the two tests. In the first test, subjects exercised at a power output of 50 W for 3 min, followed by increases of 25 W every 2 min until volitional exhaustion. For older, smaller, or less fit individuals, the test was started at 40 W, with increases of 10–20 W every 2 min thereafter. In the second test, subjects exercised for 10 min at an absolute (50 W) and at a relative power output equivalent to 60% VO2max. They then exercised for 3 min at a relative power output that was 80% of their VO2max, after which resistance was increased to the highest power output attained in the first maximal test. If the subjects were able to pedal after 2 min, power output was increased every 2 min thereafter until they reached volitional fatigue. The average VO2max from these two sets was taken as the VO2max for that subject and used in analyses if both values were within 5% of each other. If they differed by >5%, the higher VO2max value was used.

Plasma Steroid Hormone and SHBG Concentrations

The hormonal assays have been previously described (Couillard et al. 2000; Ukkola et al. 2001). Fourteen steroid hormones or their derivatives and SHBG concentrations were assayed. Table 1 provides the full name of each hormone, the abbreviations used in the present report and a brief comment on the source of production or transformation of the hormones and their precursors. On 2 consecutive days, two blood samples were obtained after a 12-h fast pre- and post- exercise program. For eumenorrheic women, all samples were obtained in the early follicular phase of the menstrual cycle. None of the women of reproductive age had dramatically irregular menstrual cycles, as determined by questionnaire and during an interview. After centrifugation, aliquots were frozen at −80 °C. For nonconjugated steroids (see Table 1 for abbreviations), ALDO, dehydroepiandrosterone (DHEA) and testosterone (TESTO) were differentially extracted with hexane-ethyl acetate. Petroleum ether was used for the extraction of androstenedione (DELTA4) and dihydrotesterone (DHT). In-house RIAs were used to measure the levels of these four steroids. Progesterone, 17 hydroxy progesterone (OHPROG), cortisol (CORT), estradiol (E2), and DHEA sulfate (DHEAS) were assayed using commercial kits (Diagnostics Systems Lab, Webster, TX, USA). For glucuronide [androsterone glucuronide (ADTG) and androstane 3α17βdiol glucuronide (DIOLG)] and ester [DHEA fatty acid ester (DHEAE) and prenenolone fatty acid ester (PREGE)] conjugated steroids, ethanol extraction was performed, followed by C18 column chromatography. Glucuronide conjugates were submitted to hydrolysis with β-glucuronidase (Sigma Co., St. Louis, MO, USA). Fatty acid derivatives were submitted to saponification. Steroids were then separated by elution on LH-20 columns and measured by RIA. SHBG was determined with an IRMA-Count solid phase immunoradiometric assay using 125I (Diagnostics Systems Laboratories, Inc.). All assays were performed in the laboratory of Dr. Alain Belanger, Molecular Endocrinology, Laval University Medical Center (CHUL), Québec, Canada.

Table 1 Description of steroid hormones assayed in the HERITAGE Family Study

Statistical Analysis

The present study is based on sedentary adults from the HERITAGE Family Study who had complete baseline hormonal data. The mean of two measurements both before and after the exercise program has been used for all hormones and SHBG levels. Data of men and women were analyzed separately. Pearson product-moment correlation coefficients were used to quantify the relationships between baseline VO2max (after adjustment for age and ethnicity) and its exercise training response (after adjustment for baseline, age and ethnicity) with fasting plasma steroid hormone, SHBG concentrations and the free androgen index (FAI). ANCOVA was used to compare each steroid, SHBG and FAI across quartiles of baseline VO2max or its training response, with age and ethnicity as covariates. ANCOVA was used to compare the difference between the lowest 5% of the TESTO distribution and the men in the fourth quartile and between the highest 5% of the E2 distribution versus the women in the first quartile, with age and ethnicity as covariates. All analyses were performed using the SAS statistical package (SAS Institute, Inc., Cary, NC). Significance level was set at a more conservative p-value threshold of <0.01.

Results

In the HERITAGE Family Study research program, three ancillary studies focusing on the within-subject variance and the reproducibility of test data were executed. Table 2 summarizes the main findings from these three sources for the steroid hormones and SHBG concentrations using the intraclass coefficients for repeated measures. In study 1, each assay was repeated from samples drawn from the same aliquot. Blood samples were drawn in the fasted state and those from eumenorrheic women were obtained in the early follicular phase. In study 2, the test-retest data were from samples drawn on two different days in the fasted state. Again, samples from eumenorrheic women were obtained in the early follicular phase. In study 3, samples were drawn in the fasted state three times in 3 weeks. However, the menstrual cycle phase was not controlled for in the female sample of the latter study. Globally, the results of these reproducibility studies indicate that the within-subject variation in hormone and SHBG levels was quite small compared to the between-subject fluctuations. The assays were quite reliable, as revealed by the very high intraclass coefficients for repeated assays on samples drawn from the same aliquot. This finding is particularly true for the steroids of high interest in the present paper, such as DHEA and DHEAS with coefficients >0.97, DHT and TESTO >0.86, E2 and PROG >0.91 and SHBG >0.95, all in both genders. When the day-to-day variation (plus the technical error of the assays) was considered in studies 2 and 3, all coefficients were high (>0.70), with the notable exception of CORT in males (~0.50).

Table 2 Reproducibility of fasting steroid hormone levels in three HERITAGE ancillary studies

Table 3 shows the physical characteristics of subjects stratified on the basis of age, gender and ethnicity. There were 244 adult subjects for each gender. About 25% of the subjects were blacks, with no difference between men and women. The male cohort was slightly overweight and heavier than the females, with the exception of black women.

Table 3 Basic characteristics of sedentary males and females

Table 4 shows the baseline value of steroid hormones and SHBG in men and women. Mean and median values plus 95% confidence intervals and intervals between the first and fourth quartiles of the distributions are presented. Testing for skewness of distributions revealed that there was no indication of a major skewness problem with any of the variables.

Table 4 Steroid hormone levels at baseline in adult males and females

Table 5 describes the VO2max at baseline and training response. Shown are baseline VO2max per kg of body weight and kg of fat-free mass. The most important inclusion criterion of the HERITAGE participants was that they needed to be confirmed sedentary. The low levels of CRF measured in males and females of this HERITAGE subsample confirm that they were indeed very sedentary as a group: with a mean age of about 35 years, VO2max/kg weight reached only 36 ml O2/kg in males and 28 in females.

Table 5 VO2max at baseline and its training response in adult males and females of HERITAGE study

Overall, steroid hormone levels were weakly associated with CRF in men but almost not at all in women. Table 6 summarizes the associations in men. Shown are partial correlations (controlling for age and ethnicity) between baseline plasma steroid hormone levels and baseline VO2max/kg body weight, as well as hormonal levels (adjusted for age and ethnicity) by quartiles of fitness in men. There were substantial differences across the four quartiles of fitness, with Q1 having a mean VO2max/kg weight value of 26.5 (SD = 2.3) and Q4 a mean of 48.4 (SD = 3.5). Significant partial correlations and significant differences across the four quartiles of VO2max/kg weight were consistently found for ADTG, ALDO, DHT, OHPROG, SHBG, and TESTO. The patterns of differences across the fitness quartiles are depicted for DHT, OHPROG, TESTO and SHBG in Fig. 1, with indications of specific group comparison differences. Males with the lowest TESTO levels (lowest 5% of the distribution; N = 13; TESTO concentration <6.16 nmol/L) were compared to the subjects in the upper quartile of the TESTO distribution (N = 61; TESTO concentration >19.56 nmol/L) for potential differences in VO2max. Significant gaps in CRF were observed, with the low TESTO subjects exhibiting lower VO2max/kg BW (33.7 ± 1.4 vs. 39.9 ± 0.6, F = 15.2, P = 0.0002) and VO2max/kg FFM (43.9 ± 1.3 vs. 48.3 ± 0.6, F = 9.3, P = 0.0032).

Table 6 Partial correlations between baseline plasma steroid hormone levels, baseline VO2max/kg body weight, and hormonal levels by quartiles of fitness in men
Fig. 1
figure 1

Hormone levels adjusted for age and ethnicity by quartiles of baseline VO2max/kg weight in men. Mean and SEM are shown. Dihydrotesterone (DHT), 17 hydroxy progesterone (OHPROG), sex hormone binding globulin (SHBG), testosterone (TESTO) *P < 0.01; **P < 0.001; ***P < 0.0001

The same analyses were performed in the female sample and the results are shown in Table 7. Only FAI was significantly correlated (partial correlation) with baseline VO2max/kg weight and differed across the four fitness groups. None of the hormones was consistently associated with fitness in women. The FAI values across the four fitness quartiles are depicted in Fig. 2.

Table 7 Partial correlations between baseline plasma steroid hormone levels, baseline VO2max/kg body weight and hormonal levels by quartiles of fitness in women
Fig. 2
figure 2

Free androgen index (FAI) adjusted for age and ethnicity by quartiles of baseline VO2max/kg weight in women. Mean and SEM are shown. F = 4.5; *P = 0.05

Baseline plasma steroid levels, SHBG concentrations and FAI were not associated with the gains in VO2max resulting from exposure to the 20-week aerobic exercise program in men or in women. For the latter analyses, the gains in VO2max in mlO2 were adjusted for baseline level, age and ethnicity. Notably, the men in the low TESTO group (lowest 5% of the distribution) did not show a deficit in CRF responsiveness to exercise training (results not shown).

Discussion

The present study is the most comprehensive report published to date on the relationships between a large panel of plasma steroid hormones and CRF in sedentary men and women at baseline and in response to a fully standardized and monitored 20-week exercise program. Of particular significance, the plasma concentrations of steroid hormones were measured twice in the morning in a fasted state (samples from two different days) before and again twice (from samples obtained on 2 days) after the exercise training program. Also of significance, all blood samples were drawn in the early follicular phase of the menstrual cycle for eumenorrheic women. Furthermore, three quality-control studies were implemented to quantify the magnitude of the assay variance and the within-individual day-to-day variation in hormone concentrations. As a large number of tests of significance were performed, an alpha threshold of p < 0.01 was used to reduce the risk of false positive results.

Significant associations were found by partial correlation analyses between baseline VO2max/kg weight and plasma levels of ADTG, ALDO, DHT, OHPROG, SHBG, and TESTO in men. In contrast, in women, only the FAI was significantly associated with baseline VO2max/kg weight. When comparing steroids, SHBG and FAI across quartiles of baseline VO2max ml/kg weight, the plasma concentration of DHT, OHPROG, SHBG, and TESTO increased gradually from Q1 to Q4 in men whereas FAI progressively decreased as fitness increased in women, indicating that a higher level of TESTO was associated with better CRF. Indeed, once the effects of age and ethnicity were taken into account, TESTO explained about 3% of the variance in baseline VO2max/kg weight in men. In females, FAI also accounted for about 3% of the baseline VO2max/kg weight, with the same statistical control over age and ethnicity. Baseline plasma steroid levels, SHBG concentrations or FAI were not associated with the gains in VO2max resulting from exposure to the 20-week aerobic exercise program after adjustment for baseline values, age and ethnicity.

The present results reinforce the idea that SHBG3 and TESTO (Storer et al. 2016) are weakly correlated with baseline fitness. In the CARDIA Male Hormone Study (391 blacks and 604 whites, aged 24–32 years), SHBG was significantly (p = 0.05) associated with estimated CRF among white men, with quartiles four and two having the highest (33.5 nmol/L) and lowest (27.8 nmol/L) SHBG concentrations, respectively (Wolin et al. 2007). TESTO supplementation in mobility-limited older men (n = 64) increased hemoglobin and attenuated the age-related declines in VO2peak (Storer et al. 2016). However, our results also contradict those of other reports. Lucertini et al. (2015) found basal CORT levels were lower in the high-fit (VO2max, 37.9 ± 0.9 ml/kg/min) than the low-fit group (VO2max, 26.4 ± 0.7 ml/kg/min). We could not herein confirm the relationship between CORT and fitness. This discrepancy may be explained by the basic characteristics of the study designs: for instance, VO2max was estimated using the Rockport Walking Test in the study of Lucertini et al. (2015), the sample size of their study was quite small and subjects were older (n = 22, mean age 68 years), and CORT was assayed from saliva samples obtained at 18:00, late afternoon. Huang et al. also did not find a difference in CORT between high-fitness (VO2max, 51.0 ± 0.8, ml/kg/min, ages: 22.3 ± 1.97, n = 7) and low-fitness groups (VO2max, 36.3 ± 1.3, ml/kg/min, ages, 20.9 ± 0.8, n = 7) in males (Huang et al. 2014).

The World Anti-Doping Agency (WADA) has developed a specific steroid module as a part of their Athlete Biological Passport (ABP; Alladio et al. 2016), which was implemented internationally in January 2014. Anabolic steroids represent the most abundant class of substance used to enhance performance in elite sports. Anabolic steroids are generally used to enhance muscle mass and muscular strength or power. Their use for improvement of endurance performance or recovery from training is less frequent. Our three quality control studies of plasma levels of steroids revealed that their blood concentrations were quite stable within an individual. We observed that TESTO and DHT were weakly but positively associated with CRF in men only. These associations were lost when VO2max was adjusted for fat-free mass (results not shown here), suggesting that the associations with fitness may have been mediated by the muscle mass and not by the ability to deliver oxygen (cardiac output and hemoglobin content of blood) to the working muscle. Importantly, there was no relation between plasma levels of steroids and the VO2max training response to the HERITAGE exercise program. Globally, our results provide little support for a substantial role of high plasma steroids content in CRF and endurance performance.

We conclude from our detailed observations that baseline plasma steroid levels are only weakly associated with individual differences in CRF in the sedentary state in men, whereas no association could be detected with trainability, as defined by the change in VO2max with the exercise program. The associations are particularly consistent for the plasma concentrations of testosterone and SHBG. In women, the most consistent association pattern was seen with the FAI, potentially reflecting the fact that high levels of free testosterone in females could be associated with slightly elevated CRF.