Literature DB >> 22649122

The electrical activities of the uterus during pregnancy.

Wim J E P Lammers1.   

Abstract

In contrast to the current state of knowledge of cardiac and of gastrointestinal electrophysiology, our current knowledge of the physiology of the uterus during pregnancy is still very rudimentary. Despite seminal work performed in the past decades, there are still significant areas that we know little about. In this review, some of these areas are explored. For example, although many studies have tried to find the site of the uterus pacemaker, such a site has not yet been found and its mechanism and location remain, to date, a mystery. Similarly, there is much confusion as to the mechanism of propagation of the electrical impulse. Although the existence of gap junctions, connecting neighboring myometrial cells to each other, have been known since 1977, alternative or additional mechanisms are being suggested such as the potential existence of a network of interstitial cells, similar to the one that is functioning in the gut, or the involvement of stretch receptors to synchronize activity and contraction. In recent years, high-resolution studies have been introduced enabling detailed analysis of the location and spatial patterns of propagation. This work is being developed at the in-vitro level in isolated tissues, in the whole organ and in several animal species. Most recently, a surge in new technology enabling high fidelity and high resolution recording from the human uterus through the abdominal wall are being explored which could ultimately lead to new diagnostic tools and a clearer understanding of the physiology of pregnancies and (premature) labor.

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Mesh:

Year:  2012        PMID: 22649122     DOI: 10.1177/1933719112446082

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  17 in total

1.  Microelectrode array analysis of mouse uterine smooth muscle electrical activity†.

Authors:  Xiaofeng Ma; Peinan Zhao; Monali Wakle-Prabagaran; Chinwendu Amazu; Manasi Malik; Wenjie Wu; Hui Wang; Yong Wang; Sarah K England
Journal:  Biol Reprod       Date:  2020-04-15       Impact factor: 4.285

2.  Tracking the changes in synchrony of the electrophysiological activity as the uterus approaches labor using magnetomyographic technique.

Authors:  Rathinaswamy B Govindan; Eric Siegel; Samantha Mckelvey; Pam Murphy; Curtis L Lowery; Hari Eswaran
Journal:  Reprod Sci       Date:  2014-10-27       Impact factor: 3.060

3.  Review and Study of Uterine Bioelectrical Waveforms and Vector Analysis to Identify Electrical and Mechanosensitive Transduction Control Mechanisms During Labor in Pregnant Patients.

Authors:  R E Garfield; Lauren Murphy; Kendra Gray; Bruce Towe
Journal:  Reprod Sci       Date:  2020-10-22       Impact factor: 3.060

4.  Connectivity Measures of Uterine Activity using Magnetomyography.

Authors:  D Escalona-Vargas; M Zhang; A Nehorai; H Eswaran
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

5.  Iterative Covariance-Based Removal of Time-Synchronous Artifacts: Application to Gastrointestinal Electrical Recordings.

Authors:  Jonathan C Erickson; Joy Putney; Douglas Hilbert; Niranchan Paskaranandavadivel; Leo K Cheng; Greg O'Grady; Timothy R Angeli
Journal:  IEEE Trans Biomed Eng       Date:  2016-01-26       Impact factor: 4.538

6.  Myometrial contractility influences oxytocin receptor (OXTR) expression in term trophoblast cells obtained from the maternal surface of the human placenta.

Authors:  Dariusz Szukiewicz; Anna Bilska; Tarun Kumar Mittal; Aleksandra Stangret; Jaroslaw Wejman; Grzegorz Szewczyk; Michal Pyzlak; Jacek Zamlynski
Journal:  BMC Pregnancy Childbirth       Date:  2015-09-16       Impact factor: 3.007

7.  Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: a preliminary study.

Authors:  Hinke de Lau; Chiara Rabotti; Rianne Bijloo; Michael Johannes Rooijakkers; Massimo Mischi; S Guid Oei
Journal:  Comput Math Methods Med       Date:  2013-12-29       Impact factor: 2.238

8.  Prediction of preterm deliveries from EHG signals using machine learning.

Authors:  Paul Fergus; Pauline Cheung; Abir Hussain; Dhiya Al-Jumeily; Chelsea Dobbins; Shamaila Iram
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

9.  The role of cellular coupling in the spontaneous generation of electrical activity in uterine tissue.

Authors:  Jinshan Xu; Shakti N Menon; Rajeev Singh; Nicolas B Garnier; Sitabhra Sinha; Alain Pumir
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

10.  Study protocol: PoPE-Prediction of Preterm delivery by Electrohysterography.

Authors:  Hinke de Lau; Chiara Rabotti; Herman P Oosterbaan; Massimo Mischi; Guid S Oei
Journal:  BMC Pregnancy Childbirth       Date:  2014-06-05       Impact factor: 3.007

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