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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
23 11 2020
Historique:
received: 23 07 2020
accepted: 20 10 2020
entrez: 24 11 2020
pubmed: 25 11 2020
medline: 17 4 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33230235
doi: 10.1038/s41598-020-76236-6
pii: 10.1038/s41598-020-76236-6
pmc: PMC7683606
doi:

Substances chimiques

Progesterone 4G7DS2Q64Y
Estradiol 4TI98Z838E
Luteinizing Hormone 9002-67-9

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20378

Subventions

Organisme : NINDS NIH HHS
ID : T32 NS095939
Pays : United States
Organisme : NIH HHS
ID : HD050470
Pays : United States

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Auteurs

Azure D Grant (AD)

The Helen Wills Neuroscience Institute, University of California, 175 Li Ka Shing Center, MC # 3370, Berkeley, CA, 94720, USA.

Mark Newman (M)

Precision Analytical, McMinnville, OR, 97128, USA.

Lance J Kriegsfeld (LJ)

The Helen Wills Neuroscience Institute, University of California, 175 Li Ka Shing Center, MC # 3370, Berkeley, CA, 94720, USA. kriegsfeld@berkeley.edu.
Department of Psychology, University of California, Berkeley, CA, 94720, USA. kriegsfeld@berkeley.edu.
Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA. kriegsfeld@berkeley.edu.
Graduate Group in Endocrinology, University of California, Berkeley, CA, 94720, USA. kriegsfeld@berkeley.edu.

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