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

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Scientific reports - 10(2020), 1 vom: 23. Nov., Seite 20378

Sprache:

Englisch

Beteiligte Personen:

Grant, Azure D [VerfasserIn]
Newman, Mark [VerfasserIn]
Kriegsfeld, Lance J [VerfasserIn]

Links:

Volltext

Themen:

4G7DS2Q64Y
4TI98Z838E
9002-67-9
Estradiol
Journal Article
Luteinizing Hormone
Progesterone
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 16.04.2021

Date Revised 22.10.2021

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s41598-020-76236-6

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM317971441