Analysis of testosterone pulsatility in women with ovulatory menstrual cycles

Nóbrega, Lúcia Helena Coelho; Azevedo, George Dantas de; Lima, Josivan Gomes de; Ferriani, Rui Alberto; Spritzer, Poli Mara; Sá, Marcos Felipe Silva de; Maranhão, Técia Maria de Oliveira

doi:10.1590/s0004-27302009000800020

Cited by 13 publications

(4 citation statements)

References 37 publications

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“…FSH exhibits low-amplitude URs that are often concomitant with LH (Booth et al, 1996; Genazzani et al, 1993; Joustra et al, 2016; Lockwood et al, 1998; Matsumoto and Bremner, 1984; Pincus et al, 1998; Stewart et al, 1994; Urban et al, 1988; Veldhuis et al, 1991; Yen et al, 1972), although pulsatile FSH is not always detectable in general circulation (Filicori et al, 1984; Ginther et al, 1998; McNeilly et al, 2003; Spratt et al, 1988; Yen et al, 1972). Gonadotropins are also coupled to gonadal hormone production on ultradian frequencies; LH peaks usually precede peaks in testosterone and progesterone by 10 to 40 min (Backstrom et al, 1982; Beaven et al, 2010; Bray et al, 1991; Filicori et al, 1984; Genazzani et al, 1991; Ginther et al, 1998; Lewis et al, 1995; Nakajima et al, 1990; Nóbrega et al, 2009; Rossmanith et al, 1990a; Sisk and Desjardins, 1986; Soules et al, 1989; Spratt et al, 1988; Urban et al, 1988; Veldhuis et al, 1988; Winters and Troen, 1986), and estrogen pulses occur either concomitant with or just after testosterone or progesterone in men (Winters and Troen, 1986) and women (Backstrom et al, 1982; Licinio et al, 1998a; Venturoli et al, 1988), respectively. Finally, inhibin (a hormone produced by the gonads that inhibits FSH) also shows weak URs at approximately circhoral frequencies (τ = 1-1.7 h) in antiphase with the gonadotropins (Lockwood et al, 1998; Nakajima et al, 1990).…”

Section: Urs and Coupling Within Endocrine Axesmentioning

confidence: 99%

Evidence for a Coupled Oscillator Model of Endocrine Ultradian Rhythms

et al. 2018

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Whereas long-period temporal structures in endocrine dynamics have been well studied, endocrine rhythms on the scale of hours are relatively unexplored. The study of these ultradian rhythms (URs) has remained nascent, in part, because a theoretical framework unifying ultradian patterns across systems has not been established. The present overview proposes a conceptual coupled oscillator network model of URs in which oscillating hormonal outputs, or nodes, are connected by edges representing the strength of node-node coupling. We propose that variable-strength coupling exists both within and across classic hormonal axes. Because coupled oscillators synchronize, such a model implies that changes across hormonal systems could be inferred by surveying accessible nodes in the network. This implication would at once simplify the study of URs and open new avenues of exploration into conditions affecting coupling. In support of this proposed framework, we review mammalian evidence for (1) URs of the gut-brain axis and the hypothalamo-pituitary-thyroid, -adrenal, and -gonadal axes, (2) UR coupling within and across these axes; and (3) the relation of these URs to body temperature. URs across these systems exhibit behavior broadly consistent with a coupled oscillator network, maintaining both consistent URs and coupling within and across axes. This model may aid the exploration of mammalian physiology at high temporal resolution and improve the understanding of endocrine system dynamics within individuals.

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Section: Urs and Coupling Within Endocrine Axesmentioning

confidence: 99%

Evidence for a Coupled Oscillator Model of Endocrine Ultradian Rhythms

et al. 2018

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“…Perhaps the most consistent biological rhythmic changes across the menstrual cycle occur at the few hour (ultradian rhythm, UR) timescale 14 , 23 – 26 . Most elements of the hypothalamic-pituitary-ovarian axis, including gonadotropin releasing hormone (GnRH) 27 – 29 , LH 30 – 32 , FSH 33 – 36 , estradiol 30 , 37 , progesterone 30 , 31 , 38 – 41 , and testosterone 42 show URs that are coordinated with menstrual phase 14 . Across species, timeseries of these neuropeptides and hormones exhibit an increase in ultradian frequency and inter-hormone coupling strength leading up to ovulation 29 , 31 and a decrease in ultradian frequency and stability in the luteal phase 29 – 32 , 37 , 40 , 41 , 43 .…”

Section: Introductionmentioning

confidence: 99%

Ultradian rhythms in heart rate variability and distal body temperature anticipate onset of the luteinizing hormone surge

Grant

Newman

Kriegsfeld

2020

Sci Rep

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The menstrual cycle is characterized by predictable patterns of physiological change across timescales. Although patterns of reproductive hormones across the menstrual cycle, particularly ultradian rhythms, are well described, monitoring these measures repeatedly to predict the preovulatory luteinizing hormone (LH) surge is not practical. In the present study, we explored whether non-invasive measures coupled to the reproductive system: high frequency distal body temperature (DBT), sleeping heart rate (HR), sleeping heart rate variability (HRV), and sleep timing, could be used to anticipate the preovulatory LH surge in women. To test this possibility, we used signal processing to examine these measures in 45 premenopausal and 10 perimenopausal cycles alongside dates of supra-surge threshold LH and menstruation. Additionally, urinary estradiol and progesterone metabolites were measured daily surrounding the LH surge in 20 cycles. Wavelet analysis revealed a consistent pattern of DBT and HRV ultradian rhythm (2–5 h) power that uniquely enabled anticipation of the LH surge at least 2 days prior to its onset in 100% of individuals. Together, the present findings reveal fluctuations in distal body temperature and heart rate variability that consistently anticipate the LH surge, suggesting that automated ultradian rhythm monitoring may provide a novel and convenient method for non-invasive fertility assessment.

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“…Perhaps the most consistent biological rhythmic changes across the menstrual cycle occur at the 1-4 h (ultradian) timescale (Brandenberger et al, 1987;Shannahoff-Khalsa et al, 1996, 1997Grant et al, 2018;Zavala et al, 2019). Most elements of the hypothalamic-pituitary-ovarian axis, including gonadotropin releasing hormone (GnRH) (Clarke et al, 1987;Moenter et al, 1991;Gore et al, 2004), luteinizing hormone (LH) (Backstrom et al, 1982;Vugt et al, 1984;Rossmanith et al, 1990), FSH (Yen et al, 1972;Genazzani et al, 1993;Booth Jr et al, 1996;Pincus et al, 1998), estradiol (Backstrom et al, 1982;Licinio et al, 1998), progesterone (Backstrom et al, 1982;Filicori et al, 1984;Veldhuis et al, 1988;Soules et al, 1989;Rossmanith et al, 1990;Genazzani et al, 1991) and testosterone (Nóbrega et al, 2009) show ultradian rhythms (URs) that are coordinated with menstrual phase (Grant et al, 2018). Across species, patterns of these neuropeptides and hormones exhibit an increase in ultradian frequency and inter-hormone coupling strength leading up to ovulation (Rossmanith et al, 1990;Moenter et al, 1991) and a decrease in ultradian frequency and stability in the luteal phase (Backstrom et al, 1982;Healy et al, 1984;Filicori et al, 1984;Vugt et al, 1984;Rossmanith et al, 1990;Genazzani et al, 1991;Moenter et al, 1991;Licinio et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Ultradian Rhythms in Heart Rate Variability and Distal Body Temperature Anticipate the Luteinizing Hormone Surge Onset

Grant

Newman²,

Kriegsfeld

2020

Preprint

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The human menstrual cycle is characterized by predictable patterns of physiological change across timescales, yet non-invasive anticipation of key events is not yet possible at individual resolution. Although patterns of reproductive hormones across the menstrual cycle have been well characterized, monitoring these measures repeatedly to anticipate the preovulatory luteinizing hormone (LH) surge is not practical for fertility awareness. In the present study, we explored whether non-invasive and high frequency measures of distal body temperature (DBT), sleeping heart rate (HR), sleeping heart rate variability (HRV), and sleep timing could be used to anticipate the preovulatory LH surge in women. To test this possibility, we used signal processing to examine these measures across the menstrual cycle. Cycles were examined from both pre- (n=45 cycles) and perimenopausal (n=10 cycles) women using days of supra-surge threshold LH and dates of menstruation for all cycles. For a subset of cycles, urinary estradiol and progesterone metabolites were measured daily around the time of the LH surge. Wavelet analysis revealed a consistent inflection point of ultradian rhythm (2-5 h) power of DBT and HRV that enabled anticipation of the LH surge at least 2 days prior to its onset in 100% of individuals. In contrast, the power of ultradian rhythms in heart rate, circadian rhythms in body temperature, and metrics of sleep duration and sleep timing were not predictive of the LH surge. Together, the present findings reveal fluctuations in distal body temperature and heart rate variability that consistently anticipate the LH surge and may aid in fertility awareness.

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Analysis of testosterone pulsatility in women with ovulatory menstrual cycles

Cited by 13 publications

References 37 publications

Evidence for a Coupled Oscillator Model of Endocrine Ultradian Rhythms

Evidence for a Coupled Oscillator Model of Endocrine Ultradian Rhythms

Ultradian rhythms in heart rate variability and distal body temperature anticipate onset of the luteinizing hormone surge

Ultradian Rhythms in Heart Rate Variability and Distal Body Temperature Anticipate the Luteinizing Hormone Surge Onset

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