Literature DB >> 29604081

The peripheral chemoreflex: indefatigable guardian of fetal physiological adaptation to labour.

Christopher A Lear1, Guido Wassink1, Jenny A Westgate1,2, Jan G Nijhuis3, Austin Ugwumadu4, Robert Galinsky1, Laura Bennet1, Alistair J Gunn1.   

Abstract

The fetus is consistently exposed to repeated periods of impaired oxygen (hypoxaemia) and nutrient supply in labour. This is balanced by the healthy fetus's remarkable anaerobic tolerance and impressive ability to mount protective adaptations to hypoxaemia. The most important mediator of fetal adaptations to brief repeated hypoxaemia is the peripheral chemoreflex, a rapid reflex response to acute falls in arterial oxygen tension. The overwhelming majority of fetuses are able to respond to repeated uterine contractions without developing hypotension or hypoxic-ischaemic injury. In contrast, fetuses who are either exposed to severe hypoxaemia, for example during uterine hyperstimulation, or enter labour with reduced anaerobic reserve (e.g. as shown by severe fetal growth restriction) are at increased risk of developing intermittent hypotension and cerebral hypoperfusion. It is remarkable to note that when fetuses develop hypotension during such repeated severe hypoxaemia, it is not mediated by impaired reflex adaptation, but by failure to maintain combined ventricular output, likely due to a combination of exhaustion of myocardial glycogen and evolving myocardial injury. The chemoreflex is suppressed by relatively long periods of severe hypoxaemia of 1.5-2 min, longer than the typical contraction. Even in this setting, the peripheral chemoreflex is consistently reactivated between contractions. These findings demonstrate that the peripheral chemoreflex is an indefatigable guardian of fetal adaptation to labour.
© 2018 The Authors. The Journal of Physiology © 2018 The Physiological Society.

Entities:  

Keywords:  fetal heart rate; intrapartum deceleration; labour; peripheral chemoreflex

Mesh:

Substances:

Year:  2018        PMID: 29604081      PMCID: PMC6265558          DOI: 10.1113/JP274937

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  90 in total

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Authors:  Miki Sato; Junko Noguchi; Masato Mashima; Hirokazu Tanaka; Toshiyuki Hata
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Journal:  J Physiol       Date:  1974-12       Impact factor: 5.182

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5.  Machine Learning Algorithm to Predict Acidemia Using Electronic Fetal Monitoring Recording Parameters.

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6.  Heart during acidosis: Etiology and early detection of cardiac dysfunction.

Authors:  Martin G Frasch; Dino A Giussani
Journal:  EClinicalMedicine       Date:  2021-07-13
  6 in total

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