PARIZEK, Antonin, Martin HILL, Michaela DUSKOVA, Lucie KOLATOROVA, Josef SUCHOPAR, Patrik SIMJAK, Katerina ANDERLOVA, Eva KUDOVA, Vladimir ROGALEWICZ, Jaroslav VACEK, Marcela KOUDELKOVÁ, Renata CHLOUPKOVÁ, Miroslava ALBLOVA, Petra PARIZKOVA, Zdenek LASTUVKA and Miroslav BARTAK. The Endocannabinoid System - The Prediction of Spontaneous Preterm Birth in High-Risk Women: Protocol of a Study. Physiological research. Praha: Institute of Physiology of the Czechoslovak Academy of Sciences, 2023, vol. 72, Supplement 4, p. "S381"-"S387", 7 pp. ISSN 0862-8408. Available from: https://dx.doi.org/10.33549/physiolres.935230.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name The Endocannabinoid System - The Prediction of Spontaneous Preterm Birth in High-Risk Women: Protocol of a Study
Authors PARIZEK, Antonin (203 Czech Republic), Martin HILL (203 Czech Republic), Michaela DUSKOVA (203 Czech Republic), Lucie KOLATOROVA (203 Czech Republic), Josef SUCHOPAR (203 Czech Republic), Patrik SIMJAK (203 Czech Republic), Katerina ANDERLOVA (203 Czech Republic), Eva KUDOVA (203 Czech Republic), Vladimir ROGALEWICZ (203 Czech Republic), Jaroslav VACEK (203 Czech Republic), Marcela KOUDELKOVÁ (203 Czech Republic, belonging to the institution), Renata CHLOUPKOVÁ (203 Czech Republic, belonging to the institution), Miroslava ALBLOVA (203 Czech Republic), Petra PARIZKOVA (203 Czech Republic), Zdenek LASTUVKA (203 Czech Republic) and Miroslav BARTAK (203 Czech Republic, guarantor).
Edition Physiological research, Praha, Institute of Physiology of the Czechoslovak Academy of Sciences, 2023, 0862-8408.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30105 Physiology
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.100 in 2022
RIV identification code RIV/00216224:14110/23:00133344
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.33549/physiolres.935230
UT WoS 001127421100002
Keywords in English Anandamide (AEA); Endocannabinoids; Endocannabinoid system; 2-arachidonoylglycerol (2-AG); 2-linoleoylglycerol (2-LG); 2-oleoylglycerol (2-OG); 2-arachidonoyldopamine (2-ADOPA center dot NADA); Predicting preterm birth; Spontaneous preterm birth (sPTB)
Tags 14119612, rivok
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 21/3/2024 14:44.
Abstract
Spontaneous preterm birth (sPTB) is a major cause of perinatal morbidity and mortality, even in developed countries. Prediction of sPTB is therefore a valuable tool to reduce the associated risks. The current standard for the prediction of sPTB consists, in addition to anamnestic data, of previous sPTB and previous second trimester miscarriage, measurement of cervical length by transvaginal ultrasound (TVU CL) together with assessment of fetal fibronectin levels in cervicovaginal fluid. Other evaluation parameters, such as the level of endocannabinoids in the pregnant woman's blood, could increase the sensitivity of this management. Endocannabinoids (eCBs) are a part of the endocannabinoid system (ECS); out of them anandamide (arachidonoyl-ethanolamide, AEA), in particular, plays an important role in the regulation of pregnancy and childbirth. We present the protocol for an open, non-randomized study to evaluate concentrations of AEA and other endocannabinoids: 2-linoleoylglycerol (2-AG), 2-linoleoylglycerol (2-LG), 2-oleoylgly-cerol (2-OG), and 2-arachidonoyldopamine (2-ADOPA or also NADA) in the blood of pregnant women as potential predictors of sPTB. In a total of 230 women with a history of sPTB or miscarriage, eCBs levels between 22 and 28 weeks of gestation will be assessed from maternal blood, in addition to the standard procedure. The aim of the study is to determine the relationship between blood concentrations of the endocanna-binoids tested and the risk of sPTB. The results of this study will describe the prognostic significance of maternal blood eCBs levels for sPTB, and could subsequently enable improved screening programs for early identification of sPTB.
PrintDisplayed: 27/5/2024 21:38