Descriptive analysis of the relationship between progesterone and basal body temperature across the menstrual cycle.

OBJECTIVE: Describe the relationship between basal body temperature (BBT) and pregnanediol-3 alpha-glucuronide (PDG, the urine metabolite of progesterone) across the menstrual cycle. DESIGN: Observational study. SETTING: Study carried out from 1996 to 1997 in eight European family planning clinics. PARTICIPANT(S): One hundred and seven normally fertile and cycling women. MAIN OUTCOME MEASURE(S): BBT and PDG level on each day of 283 cycles and ultrasound determination of the day of ovulation. RESULT: (s): In comparison with previous end-of-cycle levels, decreases in PDG and BBT on the first day of menses were seen in nearly 90% and 80% of cycles, respectively. In a non-negligible percentage of cycles, luteolysis would continue during menses: between the second and the third day after menses, small but significant decreases in PDG and BBT were seen in 76% and 48% of cycles, respectively. During the peri-ovulatory phase, between the third and the second day before ovulation, PDG and BBT began to rise in 56% and 41% of cycles, respectively. There was a medium degree of correlation between PDG levels and BBT (r = 0.53; 7,279 days with available measurements). The relationship between PDG levels and BBT was linear at low PDG levels but BBT increased no longer when PDG levels continued to rise above a threshold of nearly 10 mcg/mg Cr. CONCLUSION: (s): PDG and BBT had parallel increases at low PDG rates but diverged at higher rates.

Circulating Vascular Endothelial Growth Factor and Soluble fms-Like Tyrosine Kinase-1 as Biomarkers for Endometrial Remodeling Across the Menstrual Cycle.

OBJECTIVE: To characterize variation in circulating vascular endothelial growth factor (VEGF) and its receptor, soluble fms-like tyrosine kinase-1 (sFLT-1), across the menstrual cycle in normal ovulating women in relation to reproductive hormones to identify the utility of VEGF and sFLT-1 as peripheral biomarkers of endometrial remodeling. METHODS: Ninety-six healthy, regularly menstruating ovulatory women, aged 18-44 years, enrolled in the BioCycle Study, a prospective cohort study at a U.S. academic research center. Vascular endothelial growth factor and sFLT-1 were measured in concurrently collected plasma, serum, and urine up to eight times across a single cycle. Reproductive hormones were measured in serum. Mean concentrations of VEGF and sFLT-1 were compared across phases of the cycle, and correlations between specimen types were calculated. Harmonic models estimated associations between VEGF and sFLT-1 and characteristics of hormonal patterns. RESULTS: No variation in VEGF or sFLT-1 levels were detected over the menstrual cycle. Median (25th percentile, 75th percentile) concentrations of VEGF during the menstrual cycle were 31.2 pg/mL (24.1, 56.9) in plasma, 194.1 pg/mL (125.4, 350.2) in serum, and 101.7 pg/mL (64.2, 165.8) in urine. Plasma and serum measures were consistently correlated, whereas urinary measures were not. Vascular endothelial growth factor was not consistently associated with reproductive hormone concentrations, although sFLT-1 was associated with higher mean and amplitude of estradiol. CONCLUSION: Circulating VEGF and sFLT-1 did not vary across the menstrual cycle and therefore are unlikely to be useful peripheral biomarkers of endometrial changes across the menstrual cycle. For studies measuring circulating VEGF for other reasons, plasma may be the preferred medium and timing to menstrual cycle phase need not be considered for reproductive-age women.

Reduction in FSH Throughout the Menstrual Cycle After Omega-3 Fatty Acid Supplementation in Young Normal Weight but not Obese Women.

Dietary fish oil restores ovarian function in subfertile rats, which is thought to be associated with decreased transcription of follicle-stimulating hormone (FSH) ß-subunit. We have previously demonstrated a reduction in early follicular serum FSH levels in normal weight but not obese women after treatment with omega-3 polyunsaturated fatty acids (PUFA). Herein, we report the effect of supplementation with omega-3 PUFA on urinary reproductive hormones across the whole menstrual cycle. This interventional study included 17 eumenorrheic women, aged 24-41 years. One month of daily morning urine was collected before and after 1 month of omega-3 PUFA supplementation with 4 g of eicosapentaenoic acid and docosahexaenoic acid daily. Measurements included urinary FSH, luteinizing hormone (LH) and estrogen and progesterone metabolites, plasma fatty acid composition, and markers of endoplasmic reticulum stress. Compliance with dietary supplementation was verified by significantly reduced ratios of omega-6 to omega-3 PUFA for all subjects after treatment (P < .01). After 1 month of omega-3 PUFA supplementation, urinary FSH was significantly decreased in normal weight, but not obese women, in both follicular and luteal phases (-28.4% and -12.6%, respectively, both P = .04). No significant changes were seen in LH or sex steroids for either weight group. The selective and specific decrease in FSH suggests that omega-3 PUFA supplementation merits further investigation in normal weight women with decreased fertility and/or diminished ovarian reserve.

Monitoring menstrual cycle, gestation and lactation by measuring urinary oestradiol and progesterone in the captive golden snub-nosed monkey (Rhinopithecus roxellanae).

The golden snub-nosed monkey is an endangered species and study of its reproductive physiology is crucial for the species' breeding programs. Urine samples (770) from 5 mature female golden snub-nosed monkeys were collected in the Shengnongjia Nature Reserve between October 2013 and December 2014 to monitor their menstrual cycle, gestation, and lactation. The concentrations of oestradiol (E2) and progesterone (P4) in the samples were measured by Chemiluminescent Microparticle Immunoassay (CMIA), and the hormone concentrations were indexed to creatinine levels to compensate for differences in water content. The results showed that the E2 and P4 levels during the breeding season were significantly higher than those during the non-breeding season (P<0.01). The length of the menstrual cycle during the breeding season was 24.29±0.71days (mean±SEM) with a follicular cycle of 8.33±0.62days and luteal cycle of 15.27±0.83days. In addition, the levels of E2 and P4 began to rise on day 14 and day 10 after conception and remained at a high level until parturition. However, the E2 and P4 levels during lactation were lower than those during gestation (P<0.01). In summary, this study extends our knowledge regarding the basic reproductive physiology of golden snub-nosed monkeys, which could play an important role in the expansion of this species' population.

Kisspeptin: a new marker for human pre-ovulation.

Kisspeptin is a polypeptide that plays an important role in reproductive endocrine regulation. The aim of present study was to investigate the dynamic trend of kisspeptin levels during the menstrual cycle and to elucidate the relationship between kisspeptin ovulation. First, 15 female volunteers with regular menstrual cycles were recruited to detect the change in serum and urine kisspeptin levels over one menstrual cycle within each individual. Subsequently, 114 serum samples and 79 urine samples from 114 individuals were randomly collected at the outpatient department to better ascertain the results. Kisspeptin levels showed a distinctive stage-specific pattern during the normal menstrual cycle in both serum and urine. It was low during the first 5 days, while the first surge appeared on the 11th day (the diameter of the dominant follicle was approximately 1.2 cm). Later, a second smaller surge appeared around the 14th day and the same changes were identified in serum and urine. Furthermore, serum kisspeptin levels were positively related to 17-ß estradiol (E2) level increase. Thus, kisspeptin surge in serum and urine may be used as a marker for dominant follicle development and pre-ovulation. Moreover, kisspeptin may also play a vital role in female reproduction through regulating hormonal state.

Sex hormones in women with and without migraine: Evidence of migraine-specific hormone profiles.

OBJECTIVE: To compare daily sex hormone levels and rates of change between women with history of migraine and controls. METHODS: History of migraine, daily headache diaries, and daily hormone data were collected in ovulatory cycles of pre- and early perimenopausal women in the Study of Women's Health Across the Nation. Peak hormone levels, average daily levels, and within-woman day-to-day rates of decline over the 5 days following each hormone peak were calculated in ovulatory cycles for conjugated urinary estrogens (E1c), pregnanediol-3-glucuronide, luteinizing hormone, and follicle-stimulating hormone. Comparisons were made between migraineurs and controls using 2-sample t tests on the log scale with results reported as geometric means. RESULTS: The sample included 114 women with history of migraine and 223 controls. Analyses of within-woman rates of decline showed that E1c decline over the 2 days following the luteal peak was greater in migraineurs for both absolute rate of decline (33.8 [95% confidence interval 28.0-40.8] pg/mgCr vs 23.1 [95% confidence interval 20.1-26.6] pg/mgCr, p = 0.002) and percent change (40% vs 30%, p < 0.001). There was no significant difference between migraineurs and controls in absolute peak or daily E1c, pregnanediol-3-glucuronide, luteinizing hormone, and follicle-stimulating hormone levels. Secondary analyses demonstrated that, among migraineurs, the rate of E1c decline did not differ according to whether a headache occurred during the cycle studied. CONCLUSIONS: Migraineurs are characterized by faster late luteal phase E1c decline compared to controls. The timing and rate of estrogen withdrawal before menses may be a marker of neuroendocrine vulnerability in women with migraine.

Monitoring of ovarian activity by measurement of urinary excretion rates using the Ovarian Monitor, Part IV: the relationship of the pregnanediol glucuronide threshold to basal body temperature and cervical mucus as markers for the beginning of the post-ovulatory infertile period.

STUDY QUESTION: Do the basal body temperature (BBT) shift and the cervical mucus markers for the beginning of the post-ovulatory infertile phase (POIP) of a menstrual cycle agree with the corresponding urinary pregnanediol glucuronide (PdG) threshold value? SUMMARY ANSWER: Perfect agreement between the cervical mucus markers and BBT shift and the hormonal definition of the start of post-ovulatory infertility occurred for only 7-17% of the cycles. WHAT IS KNOWN ALREADY: The PdG threshold of 7.0 µmol/24 h is an objective and accurate marker for the beginning of the POIP. The rise in serum progesterone also produces the BBT shift and changes in cervical mucus which determine the mucus peak. Serum progesterone and urinary PdG are closely correlated when variations in urine volume are taken into account. STUDY DESIGN, SIZE, DURATION: Individual menstrual cycle profiles of urinary PdG excretion rates for 91 fertile cycles from normally cycling women were analysed to identify the day of the beginning of the POIP. These days were compared with those determined by the day of the BBT shift +2 days, the day of the mucus peak +4 days and the later of these two indicators. The study lasted 3 years. PARTICIPANTS/MATERIALS, SETTING, METHODS: A total of 62 women with normal menstrual cycles were recruited from three centres: Palmerston North, New Zealand; Sydney, Australia and Santiago, Chile. The cycles were displayed individually in a proprietary database program which recorded the PdG excretion rates, the BBT shift day and the cervical mucus peak day. A group of 15 women from a separate Chilean study had PdG urinary data measured as well as their day of ovulation determined by ultrasound. MAIN RESULTS AND THE ROLE OF CHANCE: The BBT and cervical mucus markers differed significantly in their identification of the beginning of the POIP when compared with the PdG excretion rate of 7.0 µmol/24 h. The observation that the BBT shift day and the mucus peak day could be identified even though the PdG excretion rates were still at baseline levels in some cycles could lead to an unexpected pregnancy for women using these natural family planning (NFP) indicators. LIMITATIONS, REASONS FOR CAUTION: The study consisted only of fertile cycles from women with regular cycles of 20-40 days duration. All the women were intending to avoid a pregnancy during the study, thus the limits of the fertile window were not tested. WIDER IMPLICATIONS OF THE FINDINGS: The NFP signals occurring earlier than the PdG threshold day could lead to an unexpected pregnancy. The signals occurring on the same day or later than the PdG threshold would not lead to unexpected pregnancies, but would require extra abstinence that could lead to non-compliance with the NFP method. A possible improvement in reliability of NFP methods is suggested. STUDY FUNDING/COMPETING INTERESTS: This study (project #90905) was funded by the NDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP). D.G.C. currently works for a diagnostic development company, Science Haven Ltd. The other authors have nothing to declare.

Monitoring the menstrual cycle: Comparison of urinary and serum reproductive hormones referenced to true ovulation.

OBJECTIVE: The aim of the study was to examine relationships and interindividual variations in urinary and serum reproductive hormone levels relative to ultrasound-observed ovulation in menstrual cycles of apparently normally menstruating women. METHODS: This was a prospective study of normally menstruating women (no known subfertility), aged 18-40 years (n = 40), who collected daily urine samples and attended the study centre for blood samples and transvaginal ultrasound during one complete menstrual cycle. Serum luteinising hormone (LH), progesterone, estradiol, urinary LH, pregnanediol-3- glucuronide (P3G) and estrone-3-glucuronide were measured. Ultrasound was conducted by two physicians and interpreted by central expert review. RESULTS: Menstrual cycle length varied from 22 to 37 days (median 27 days). Ovulation by ultrasound ranged from day 8 to day 26 (median day 15). Serum and urinary hormone profiles showed excellent agreement. Estrogen and LH hormone peaks in urine and serum showed a range of signal characteristics across the study group before and after ovulation. The rise in estrogen and LH always occurred before ovulation; the progesterone rise from baseline always occurred after ovulation. CONCLUSIONS: Urinary and serum reproductive hormones showed excellent agreement and may be used interchangeably. The beginning of the surge in serum and urinary LH was an excellent predictor of ovulation. The rise in progesterone and P3G above baseline was a consistent marker of luteinisation confirming ovulation. Both LH and progesterone surges delivered clear, sharp signals in all volunteers, allowing reliable detection and confirmation of ovulation.

[Effects of daily consumption of milk powder on menstrual cycles and urine sex hormone concentrations of young women].

OBJECTIVE: To observe the effects of daily consumption of milk powder on Healthy young women, including the effect on menstrual cycles, ovulation time and sex hormone concentrations in morning urine. METHOD: Thirty-two young women were recruited as subjects and randomly assigned into two groups for a milk powder consumption experiment which lasted three menstrual cycles. The first menstrual cycle is control cycle, the second menstrual cycle is milk-taking cycle. The subjects take milk diluted by 33g or 55g milk powder each day, from the 4th to the 24th day of the second menstrual cycle. The third menstrual cycles is control cycle after milk-taking. During the whole three menstrual cycle, record the length of each menstrual cycle, determine ovulation time by using basal body temperature and oviposit test paper, collect their morning urine samples at specified times (the 4th, 7th, 10th, 13rd, 16th, 19th and 24th day of first and the third menstrual cycle; the 4th, 5th, 6th, 7th, 9th, 12nd, 15th, 18th, 21st and 24th day of the second menstrual cycle), determine the concentrations of estradiol, pregnanediol and creatinine in morning urine samples; draw the curve of the concentration changing over time and calculate the area under the curve to the 24th day. RESULT: In the high-dose group, the mean of the menstrual cycle length are (29.60 ±3.180) d, (28.87 ± 3.021) d, (29.60 ± 2.995) d, the mean of the ovulation time are (15.47 ± 2.200) d. There was no significant difference in menstrual cycle length and ovulation time among cycles and between groups (P>0.05). Calculate the difference between the first and the second menstrual cycle, and the difference between the two groups. In the high-dose group, the area under the curve of estradiol concentrations adjusted by creatinine are (7160.28 ±2305.52), (6700.26 ±2066.67); (6676.24 ±2573.89); the area under the curve of pregnanediol concentrations corrected by creatinine are (51.93 ±18.80), (44.55 ±14.62) and (46.49 ±22.44). In the low-dose group, the area under the curve of estradiol concentrations adjusted by creatinine are (6838.21 ±2573.89), (6611.33 ±1648.21) and (5949.24 ±1437.54)/ The area under the curve of pregnanediol concentrations adjusted by creatinine are (49.25 ±15.68), (48.79 ±15.61) and (43.45 ±12.77). There's no significant difference of the area under the curve among three menstrual cycles and between two groups (P>0.05). CONCLUSION: 21 days' continuous daily consumption of milk powder does not have a significant impact on menstrual cycle, or on the estradiol/pregnanediol concentrations in morning urine.

Assessment of anovulation in eumenorrheic women: comparison of ovulation detection algorithms.

OBJECTIVE: To compare previously used algorithms to identify anovulatory menstrual cycles in women self-reporting regular menses. DESIGN: Prospective cohort study. SETTING: Western New York. PATIENT(S): Two hundred fifty-nine healthy, regularly menstruating women followed for one (n=9) or two (n=250) menstrual cycles (2005-2007). INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Prevalence of sporadic anovulatory cycles identified using 11 previously defined algorithms that use E2, P, and LH concentrations. RESULT(S): Algorithms based on serum LH, E2, and P levels detected a prevalence of anovulation across the study period of 5.5%-12.8% (concordant classification for 91.7%-97.4% of cycles). The prevalence of anovulatory cycles varied from 3.4% to 18.6% using algorithms based on urinary LH alone or with the primary E2 metabolite, estrone-3-glucuronide, levels. CONCLUSION(S): The prevalence of anovulatory cycles among healthy women varied by algorithm. Mid-cycle LH surge urine-based algorithms used in over-the-counter fertility monitors tended to classify a higher proportion of anovulatory cycles compared with luteal-phase P serum-based algorithms. Our study demonstrates that algorithms based on the LH surge, or in conjunction with estrone-3-glucuronide, potentially estimate a higher percentage of anovulatory episodes. Addition of measurements of postovulatory serum P or urine pregnanediol may aid in detecting ovulation.

Differences in ovarian hormones in relation to parity and time since last birth.

OBJECTIVE: To examine ovarian function in relation to parity and time since last birth. DESIGN: Cross-sectional study. SETTING: Health-care program in California. PATIENT(S): 346 naturally cycling women, aged 18 to 39 years. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Mean follicular urinary estradiol metabolite concentration (E1C) (cycle days -8 to -1), mean luteal progesterone metabolite concentration (PdG) (days 0 to +10), and cycle phase lengths in ovulatory cycles. RESULT(S): After the women had collected daily urine samples for up to eight menstrual cycles, we measured the E1C and PdG using enzyme-linked immunoassay. The cycle phase lengths were calculated from the hormone profiles and daily diaries. Women who had given birth within the previous 3 years had lower E1C than the nulliparous women and women who last given birth >3 years earlier. Among the parous women, E1C was positively associated with the time since last birth. Women who last gave birth >3 years earlier had longer follicular phases than the nulliparous women. There were no associations between parity and PdG or luteal phase length. CONCLUSION(S): Our cross-sectional data suggest that ovarian function differs in nulliparous and parous women and is positively associated with the time since last birth. Longitudinal research is needed to explore within-woman changes in ovarian function prepartum and postpartum.

Cytokeratin-19 as a biomarker in urine and in serum for the diagnosis of endometriosis--a prospective study.

Endometriosis compromises the quality of life of countless women worldwide and is a leading cause of disability. Clinical symptoms of endometriosis can be very heterogeneous leading to a long interval between onset of symptoms and surgical diagnosis. A noninvasive, rapid diagnostic test is urgently needed. In this prospective study, we evaluated the usefulness of Cytokeratin-19 (CK19) as a biomarker for the diagnosis of endometriosis through urine and serum ELISA. 76 reproductive-aged women undergoing laparoscopy for benign conditions were included to this study and divided into two groups by the presence (n = 44) or absence (n = 32) of endometriosis. There was no statistically significant correlation between the concentration of CK19 in urine (p = 0.51) or in serum (p = 0.77) and the diagnosis of endometriosis. Assigning the samples to the proliferative or secretory cycle stage did not sufficiently lower the p values. In this study, the promising data reported in the recent literature about CK19 serving as a sufficient biomarker for endometriosis could not be verified when tested in a larger sample size. Further studies are warranted to explore the usefulness of CK19 in the diagnosis of endometriosis.

Hypoestrogenic "inactive phases" at the start of the menstrual cycle: changes with age and reproductive stage, and relationship to follicular depletion.

OBJECTIVE: To investigate hypoestrogenic "inactive phases" (IP) in the follicular phase of the menstrual cycle, with respect to age, reproductive stage, and follicular depletion. DESIGN: Analysis of prospectively collected menstrual bleed and estrone-3-glucuronide data. SETTING: Center for Population and Health, Georgetown University. PATIENT(S): White women (n = 88, aged 25-59 years, mean = 44.7 years) from the population-based Biodemographic Models of Reproductive Aging (BIMORA) project. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): The IP durations by age and reproductive stage. Estimated follicular depletion rate based on IP durations. RESULT(S): Mean IP duration and variability decreased and then increased with age/reproductive stage. The proportion of very short (≤ 1 day) IP durations increased and then decreased with age/stage. Long IPs occurred most, but not exclusively, in the oldest age/latest stage. Follicular depletion rate estimates were a plausible 2%-4% per year of age, but these models were a poor fit because IP durations did not consistently increase across ages/stages. CONCLUSION(S): Follicular depletion models alone do not explain the observed pattern of IPs. Our data suggest that IPs reflect both follicular depletion and hyperstimulation in premenopausal and perimenopausal women. Knowledge of underlying IP patterns in the menstrual cycle could inform decisions about hormone sampling and contraception during the perimenopause.

The role of ovarian steroid hormones in mood.

Fluctuations in ovarian hormones across the menstrual cycle have long been considered a determinant of mood in women. The majority of studies, however, use menstrual cycle phase as proxy for hormone levels. We measured ovarian hormone levels directly in order to examine the relationship between daily hormone levels and mood in non-help-seeking women. Participants (n=19) provided daily information about their positive and negative moods, and collected their first morning-voided urine for 42days, which was analyzed for estrogen and progesterone metabolites (E1G and PdG). The independent contributions of daily E1G, PdG, stress, physical health, and weekly social support, were calculated for 12 daily mood items, and composite measures of positive and negative mood items, using linear mixed models. E1G or PdG contributed to few mood items: E1G measured 2days prior contributed negatively to the model for Motivation, while E1G measured 3days prior contributed negatively to Getting Along with Others, and E1G measured 4days prior contributed negatively to Anxiety. PdG, measured the same day and 1day prior, contributed positively to the models of Irritability, and PdG measured 5days prior contributed positively to Difficulty Coping. By contrast, the variables stress and physical health contributed significantly to all the mood items, as well as both composite positive and negative mood measures. These findings demonstrate that, compared to stress and physical health, ovarian hormones make only a small contribution to daily mood. Thus, fluctuations in ovarian hormones do not contribute significantly to daily mood in healthy women.

CYP3A variation, premenopausal estrone levels, and breast cancer risk.

BACKGROUND: Epidemiological studies have provided strong evidence for a role of endogenous sex steroids in the etiology of breast cancer. Our aim was to identify common variants in genes involved in sex steroid synthesis or metabolism that are associated with hormone levels and the risk of breast cancer in premenopausal women. METHODS: We measured urinary levels of estrone glucuronide (E1G) using a protocol specifically developed to account for cyclic variation in hormone levels during the menstrual cycle in 729 healthy premenopausal women. We genotyped 642 single-nucleotide polymorphisms (SNPs) in these women; a single SNP, rs10273424, was further tested for association with the risk of breast cancer using data from 10 551 breast cancer case patients and 17 535 control subjects. All statistical tests were two-sided. RESULTS: rs10273424, which maps approximately 50 kb centromeric to the cytochrome P450 3A (CYP3A) gene cluster at chromosome 7q22.1, was associated with a 21.8% reduction in E1G levels (95% confidence interval [CI] = 27.8% to 15.3% reduction; P = 2.7 × 10(-9)) and a modest reduction in the risk of breast cancer in case patients who were diagnosed at or before age 50 years (odds ratio [OR] = 0.91, 95% CI = 0.83 to 0.99; P = .03) but not in those diagnosed after age 50 years (OR = 1.01, 95% CI = 0.93 to 1.10; P = .82). CONCLUSIONS: Genetic variation in noncoding sequences flanking the CYP3A locus contributes to variance in premenopausal E1G levels and is associated with the risk of breast cancer in younger patients. This association may have wider implications given that the most predominantly expressed CYP3A gene, CYP3A4, is responsible for metabolism of endogenous and exogenous hormones and hormonal agents used in the treatment of breast cancer.

Exercise lowers estrogen and progesterone levels in premenopausal women at high risk of breast cancer.

Experimental and clinical data support a role for estrogens in the development and growth of breast cancer, and lowered estrogen exposure reduces breast cancer recurrence and new diagnoses in high-risk women. There is varied evidence that increased physical activity is associated with breast cancer risk reduction in both pre- and postmenopausal women, perhaps via lowered estrogen levels. The purpose of this study was to assess whether exercise intervention in premenopausal women at increased breast cancer risk reduces estrogen or progesterone levels. Seven healthy premenopausal women at high risk for breast cancer completed a seven-menstrual-cycle study. The study began with two preintervention cycles of baseline measurement of hormone levels via daily first-morning urine collection, allowing calculation of average area under the curve (AUC) hormone exposure across the menstrual cycle. Participants then began five cycles of exercise training to a maintenance level of 300 min per week at 80-85% of maximal aerobic capacity. During the last two exercise cycles, urinary estradiol and progesterone levels were again measured daily. Total estrogen exposure declined by 18.9% and total progesterone exposure by 23.7%. The declines were mostly due to decreased luteal phase levels, although menstrual cycle and luteal phase lengths were unchanged. The study demonstrated the feasibility of daily urine samples and AUC measurement to assess hormone exposure in experimental studies of the impact of interventions on ovarian hormones. The results suggest value in exercise interventions to reduce hormone levels in high-risk women with few side effects and the potential for incremental benefits to surgical or pharmacologic interventions.

Estrogen and progesterone exposure is reduced in response to energy deficiency in women aged 25-40 years.

BACKGROUND: Alterations in circulating steroids are believed to be important mediators of the impact that diet and exercise have on breast cancer risk and changes in bone density. This study aimed to test the hypothesis that moderate exercise training combined with caloric restriction would produce significant menstrual disturbances and alterations in ovarian steroids in premenopausal women. METHODS: Sedentary premenopausal women (25-40 years; body mass index: 23.6 +/- 0.6 kg/m(2)) assigned to either a light conditioning (LC, n = 9) or an exercise combined with caloric restriction group (EX + CR, n = 24) were studied for one screening, one baseline and four intervention periods equivalent to the length of subjects' menstrual cycles. Exercise consisted of supervised training sessions, i.e. two LC or four EX + CR times per week, 30-60 min at a moderate intensity. The EX + CR group was prescribed a diet representing a caloric restriction of 20-35% below baseline energy requirements, whereas the LC group remained eucaloric. Ovarian steroid exposure was determined with daily urinary estrone-1- and pregnanediol glucuronides (E1G and PdG, respectively) and mid-cycle urinary LH measures. Fitness, body composition, and serum sex hormone binding globulin (SHBG) and serum estradiol (E2) were assessed repeatedly. RESULTS: The intervention produced significant increases in VO(2) max and decreases in both body weight (-3.7 +/- 0.5 kg; ranged from -8.8 to +1.8 kg) and percent body fat (-4.5 +/- 0.7%; ranged from -12 to +0.3%), which were attributable primarily to changes in the EX + CR subjects (time x group; P < 0.05). Serum E2 and urinary E1G and PdG concentrations declined significantly across the intervention period (time; P < 0.05), whereas SHBG increased transiently (time; P < 0.05) in the EX + CR subjects, with no significant changes observed in the LC group. The decrease in E1G area under the curve was significantly related to the daily energy deficit (R =0.61; P = 0.003), not the amount of weight lost. There was no significant impact of the intervention on menstrual cyclicity or the incidence of menstrual disturbances in either group. CONCLUSIONS: A moderate aerobic exercise training program combined with modest weight loss in accordance with recommended guidelines produces significant reductions in ovarian steroid exposure without disrupting menstrual cyclicity in premenopausal women aged 25-40 years. Exposure to a daily energy deficit is a stronger predictor of the decline in estrogen exposure than decreases in body weight.

Detecting evidence of luteal activity by least-squares quantitative basal temperature analysis against urinary progesterone metabolites and the effect of wake-time variability.

OBJECTIVE: To assess computerised least-squares analysis of quantitative basal temperature (LS-BT) against urinary pregnanediol glucuronide (PdG) as an indirect measure of ovulation, and to evaluate the stability of LS-QBT to wake-time variation. STUDY DESIGN: Cross-sectional study of 40 healthy, normal-weight, regularly menstruating women aged 19-34. Participants recorded basal temperature and collected first void urine daily for one complete menstrual cycle. Evidence of luteal activity (ELA), an indirect ovulation indicator, was assessed using Kassam's PdG algorithm, which identifies a sustained 3-day PdG rise, and the LS-QBT algorithm, by determining whether the temperature curve is significantly biphasic. Cycles were classified as ELA(+) or ELA(-). We explored the need to pre-screen for wake-time variations by repeating the analysis using: (A) all recorded temperatures, (B) wake-time adjusted temperatures, (C) temperatures within 2h of average wake-time, and (D) expert reviewed temperatures. RESULTS: Relative to PdG, classification of cycles as ELA(+) was 35 of 36 for LS-QBT methods A and B, 33 of 34 (method C) and 30 of 31 (method D). Classification of cycles as ELA(-) was 1 of 4 (methods A and B) and 0 of 3 (methods C and D). Positive predictive value was 92% for methods A-C and 91% for method D. Negative predictive value was 50% for methods A and B and 0% for methods C and D. Overall accuracy was 90% for methods A and B, 89% for method C and 88% for method D. The day of a significant temperature increase by LS-QBT and the first day of a sustained PdG rise were correlated (r=0.803, 0.741, 0.651, 0.747 for methods A-D, respectively, all p<0.001). CONCLUSION: LS-QBT showed excellent detection of ELA(+) cycles (sensitivity, positive predictive value) but poor detection of ELA(-) cycles (specificity, negative predictive value) relative to urinary PdG. Correlations between the methods and overall accuracy were good and similar for all analyses. Findings suggest that LS-QBT is robust to wake-time variability and that expert interpretation is unnecessary. This method shows promise for use as an epidemiological tool to document cyclic progesterone increase. Further validation relative to daily transvaginal ultrasound is required.

Timing clinic visits to phases of the menstrual cycle by using a fertility monitor: the BioCycle Study.

Planning study visits during specific menstrual cycle phases is important if the exposure or outcome is influenced by hormonal variation. However, hormone profiles differ across cycles and across women. The value of using fertility monitors to time clinic visits was evaluated in the BioCycle Study (2005-2007). Women aged 18-44 years (mean, 27.4) with self-reported menstrual cycle lengths of 21-35 days were recruited in Buffalo, New York, for 2 cycles (n = 250). Participants were provided with home fertility monitors that measured urinary estrone-3-glucuronide and luteinizing hormone (LH). The women were instructed to visit the clinic for a blood draw when the monitor indicated an LH surge. The monitor recorded a surge during 76% of the first cycles and 78% of the second cycles. Scheduling visits by using set cycle days or algorithms based on cycle length, such as a midcycle window or a window determined by assuming a fixed luteal phase length, would be simpler. However, even with perfect attendance in a 3-day window, these methods would have performed poorly, capturing the monitor-detected LH surge only 37%-57% of the time. Fertility monitors appear to be useful in timing clinic visits in a compliant population with flexible schedules.

The effect of exercise and estrogen on osteoprotegerin in premenopausal women.

BACKGROUND: The benefits of exercise are widely recognized, however physically active women can develop exercise associated menstrual cycle disturbances such as amenorrhea (i.e., estrogen deficiency) secondary to a chronic energy deficiency. OBJECTIVE: To assess the effects of exercise status and estrogen deficiency on osteoprotegerin (OPG) and its relationship to bone resorption in premenopausal exercising women. DESIGN: Cross-sectional study of serum OPG, urinary c-telopeptides (uCTX), urinary estrone 3-glucuronide (E1G), urinary pregnanediol 3-glucuronide (PdG) and bone mineral density (BMD) measured on multiple occasions in 67 women. Volunteers were retrospectively grouped: 1) sedentary menstruating group (SedMen n=8), 2) exercising menstruating group (ExMen, n=36), and 3) exercising amenorrheic group (ExAmen, n=23). One-way ANOVAs were performed, and LSD post-hoc tests were performed when differences were detected. RESULTS: Subjects were similar with respect to age (24.2+/-1.0 years), weight (57.8+/-1.7 kg), and height (164.3+/-1.3 cm) (p>0.05). ExMen and ExAmen groups were more aerobically fit (p=0.003) and had less body fat (p=0.002) than the SedMen group. Resting energy expenditure/fat free mass was lowest (p=0.001) in the ExAmen groups. Mean E1G across the measurement period (p<0.001) and overall E1G exposure as assessed by E1G area under the curve (AUC) (p<0.001) were lower in the ExAmen group vs. the SedMen and ExMen groups. U-CTX-I was elevated (p=0.033) in the ExAmen group (281.8+/-40.3 microg/L/mmCr), compared with the SedMen and ExMen groups (184.5+/-22.4, 197.2+/-14.7 microg/L/mmCr, respectively). OPG was suppressed (p=0.005) in the ExAmen group (4.6+/-0.2 pmol/L) vs. ExMen group (5.2+/-0.2 pmol/L), and OPG was lower in the SedMen group (4.1+/-0.3 pmol/L) compared with the ExMen group. Findings were translated to BMD; the ExAmen group had suppressed total body BMD (p=0.014) and L2-L4 BMD (p=0.015) vs. the ExMen group. CONCLUSIONS: Our results suggest that OPG responds to the bone loading effect of exercise, and that suppressed OPG may play a role in the etiology of increased bone resorption observed in exercising women with chronic estrogen deficiency secondary to hypothalamic amenorrhea.