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Yamanokuchi E, Kitahara G, Kanemaru K, Hemmi K, Kobayashi I, Yamaguchi R, Osawa T. Inflammatory Changes and Composition of Collagen during Cervical Ripening in Cows. Animals (Basel) 2022; 12:ani12192646. [PMID: 36230388 PMCID: PMC9559414 DOI: 10.3390/ani12192646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 11/06/2022] Open
Abstract
Dystocia and stillbirths in cows pose a high risk of loss of both dams and fetuses, thereby resulting in high economic losses. One of the causes of these problems is birth canal abnormalities. Thus, to prevent these occurrences, it is necessary to understand the mechanisms underlying cervical ripening. Although physiological inflammatory responses and changes in collagen composition have been reported in humans and mice, related information is scarce for cows. We observed inflammatory changes and changes in the collagen composition in the cervix from late pregnancy to parturition to clarify some of the physiological changes associated with cervical ripening during normal calving in cows. Cervical mucus and tissue samples were collected from 41 Japanese Black cows at 200, 230, and 260 days of gestation and at 7-day intervals thereafter until parturition. The percentage of polymorphonuclear neutrophils (PMN%) in the mucus was calculated, and interleukin (IL)-8 concentration was determined by enzyme-linked immunosorbent assay. Blood samples were collected from the jugular vein, and leukocyte counts were determined. Picrosirius red-stained cervical tissue specimens were observed under a polarizing microscope, and the percentage of type I and type III collagen areas in the cervical tissue were calculated. The PMN% in cervical mucus was lowest at 200 days gestation (12−13 weeks before delivery), significantly increased 5 weeks before (21.7 ± 0.04), and was highest 1 week before calving (50.9 ± 0.04). IL-8 levels were increased at 295 days compared with those at 200 days of pregnancy (p < 0.05). No significant changes were observed in the white blood cell counts. The percentage of type I collagen in the cervical tissue reached a maximum (91.4 ± 0.02%) on day 200, significantly decreased after 274 days (3 weeks before calving), and continued to decrease thereafter until the week of parturition. There was no significant change in type III collagen levels. The results suggest that cervical ripening progresses when PMNs begin to infiltrate the cervix at around 260 days of gestation (5−4 weeks before parturition), IL-8, which increases at the end of pregnancy, mobilizes PMNs, and enhances inflammation, and that type I collagen changes are useful as an indicator of cervical ripening.
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Affiliation(s)
- Eigo Yamanokuchi
- Laboratory of Theriogenology, Department of Veterinary Sciences, University of Miyazaki, Miyazaki 889-2192, Japan
| | - Go Kitahara
- Laboratory of Theriogenology, Department of Veterinary Sciences, University of Miyazaki, Miyazaki 889-2192, Japan
| | - Kazuyuki Kanemaru
- Laboratory of Theriogenology, Department of Veterinary Sciences, University of Miyazaki, Miyazaki 889-2192, Japan
| | - Koichiro Hemmi
- Sumiyoshi Livestock Science Station, Field Science Center, Faculty of Agriculture, University of Miyazaki, Miyazaki 880-0121, Japan
| | - Ikuo Kobayashi
- Sumiyoshi Livestock Science Station, Field Science Center, Faculty of Agriculture, University of Miyazaki, Miyazaki 880-0121, Japan
| | - Ryoji Yamaguchi
- Laboratory of Veterinary Pathology, Department of Veterinary Sciences, University of Miyazaki, Miyazaki 889-2192, Japan
| | - Takeshi Osawa
- Laboratory of Theriogenology, Department of Veterinary Sciences, University of Miyazaki, Miyazaki 889-2192, Japan
- Correspondence: ; Tel.: +81-985-58-7787
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Qi W, Zhao P, Wang W, Wen Z, Sun Z, Wu W, Woodard PK, Wang Q, McKinstry RC, Wang Y. Magnetic resonance imaging of the supra-cervical fetal membrane detects an increased risk of prelabor rupture of membranes. Front Endocrinol (Lausanne) 2022; 13:1001538. [PMID: 36246931 PMCID: PMC9559212 DOI: 10.3389/fendo.2022.1001538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 09/15/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE In 10% of term deliveries and 40% of preterm deliveries, the fetal membrane (FM) ruptures before labor. However, the ability to predict these cases of premature rupture of membranes (PROM) and preterm premature rupture of membranes (PPROM) is very limited. In this paper, our objective was to determine whether a prediction method based on T2 weighted magnetic resonance imaging (MRI) of the supra-cervical FM could predict PROM and PPROM. METHODS This prospective cohort study enrolled 77 women between the 28th and 37th weeks of gestation. Two indicators of fetal membrane defects, including prolapsed depth >5 mm and signal abnormalities, are investigated for our prediction. Fisher's exact test was used to determine whether prolapsed depth >5 mm and/or signal abnormalities were associated with PROM and PPROM. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated for prolapsed depth >5 mm, signal abnormalities, and the combination of prolapsed depth >5 mm and signal abnormalities. RESULT Among 12 women with PROM (5 preterm and 7 term, prior to labor onset), 9 had membrane prolapse >5 mm and 5 had FM signal abnormalities. Among 65 women with rupture of membranes at term, 2 had membrane prolapse >5 mm and 1 had signal abnormalities. By Fisher's exact test both indicators, membrane prolapse >5 mm and signal abnormalities, were associated with PROM (P<0.001, P<0.001) and PPROM (P=0.001, P<0.001). Additionally, membrane prolapse >5 mm, signal abnormalities, and the combination of the two indicators all demonstrated high specificity for predicting PROM (96.9%, 98.5%, and 100%, respectively) and PPROM (90.3%, 97.2%, and 100%, respectively). CONCLUSION MRI can distinguish the supra-cervical fetal membrane in vivo and may be able to identify women at high risk of PPROM.
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Affiliation(s)
- Wenxu Qi
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Peinan Zhao
- The Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Wei Wang
- Mallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Zichao Wen
- The Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Zhexian Sun
- The Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
- The Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States
| | - Wenjie Wu
- The Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
- The Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States
| | - Pamela Karen Woodard
- Mallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Qing Wang
- Mallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Robert C. McKinstry
- School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Yong Wang
- The Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
- The Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States
- *Correspondence: Yong Wang,
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Louwagie EM, Carlson L, Over V, Mao L, Fang S, Westervelt A, Vink J, Hall T, Feltovich H, Myers K. Longitudinal ultrasonic dimensions and parametric solid models of the gravid uterus and cervix. PLoS One 2021; 16:e0242118. [PMID: 33507927 PMCID: PMC7842891 DOI: 10.1371/journal.pone.0242118] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/24/2020] [Indexed: 12/05/2022] Open
Abstract
Tissue mechanics is central to pregnancy, during which maternal anatomic structures undergo continuous remodeling to serve a dual function to first protect the fetus in utero while it develops and then facilitate its passage out. In this study of normal pregnancy using biomechanical solid modeling, we used standard clinical ultrasound images to obtain measurements of structural dimensions of the gravid uterus and cervix throughout gestation. 2-dimensional ultrasound images were acquired from the uterus and cervix in 30 pregnant subjects in supine and standing positions at four time points during pregnancy (8-14, 14-16, 22-24, and 32-34 weeks). Offline, three observers independently measured from the images of multiple anatomic regions. Statistical analysis was performed to evaluate inter-observer variance, as well as effect of gestational age, gravity, and parity on maternal geometry. A parametric solid model developed in the Solidworks computer aided design (CAD) software was used to convert ultrasonic measurements to a 3-dimensional solid computer model, from which estimates of uterine and cervical volumes were made. This parametric model was compared against previous 3-dimensional solid models derived from magnetic resonance frequency images in pregnancy. In brief, we found several anatomic measurements easily derived from standard clinical imaging are reproducible and reliable, and provide sufficient information to allow biomechanical solid modeling. This structural dataset is the first, to our knowledge, to provide key variables to enable future computational calculations of tissue stress and stretch in pregnancy, making it possible to characterize the biomechanical milieu of normal pregnancy. This vital dataset will be the foundation to understand how the uterus and cervix malfunction in pregnancy leading to adverse perinatal outcomes.
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Affiliation(s)
- Erin Marie Louwagie
- Department of Mechanical Engineering, Columbia University, New York, NY, United States of America
| | - Lindsey Carlson
- Maternal Fetal Medicine, Intermountain Healthcare, Provo, UT, United States of America
| | - Veronica Over
- Department of Mechanical Engineering, Columbia University, New York, NY, United States of America
| | - Lu Mao
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States of America
| | - Shuyang Fang
- Department of Mechanical Engineering, Columbia University, New York, NY, United States of America
| | - Andrea Westervelt
- Department of Mechanical Engineering, Columbia University, New York, NY, United States of America
| | - Joy Vink
- Department of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Timothy Hall
- Department of Medical Physics, University of Wisconsin, Madison, WI, United States of America
| | - Helen Feltovich
- Maternal Fetal Medicine, Intermountain Healthcare, Provo, UT, United States of America
| | - Kristin Myers
- Department of Mechanical Engineering, Columbia University, New York, NY, United States of America
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Miller KS, Myers K, Oyen M. Bioengineering in women's health, volume 2: pregnancy—from implantation to parturition. Interface Focus 2019. [DOI: 10.1098/rsfs.2019.0081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
This special issue of
Interface Focus
is the second of two sets of articles on the topic of bioengineering in women's health. This second issue in the series focuses on pregnancy, a dynamic time in a women's life that involves dramatic physiologic changes within a relatively small timeframe. Pregnancy demands endurance and resilience of one's body and represents a critical component of women's health research. The health of an individual leading up to, during and after pregnancy is paramount for reproductive health and the lifelong health of offspring. The articles in this issue explore physiological events that support reproduction spanning from embryo implantation, through gestation, to delivery and parturition. Specifically, the articles highlight essential developments in placenta, fetal membranes, cervix, pelvic floor and anthropometry research. The featured bioengineering disciplines deployed to study such complex biological processes are diverse, with articles detailing the latest advancements in computational modelling at various biological length-scales, biomaterial design, material modelling, non-invasive diagnostic techniques, microfluidic devices and experimental mechanics. This second issue continues the first in this series, on the physiology of the non-pregnant woman.
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Affiliation(s)
- Kristin S. Miller
- Biomedical Engineering, Tulane University, 500 Lindy Boggs Center, New Orleans, LA 70118, USA
| | - Kristin Myers
- Mechanical Engineering, Columbia University, New York, NY 10025, USA
| | - Michelle Oyen
- Department of Engineering, East Carolina University, Greenville, NC, USA
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