Maternal Tobacco Exposure and Cotinine Levels in Fetal Fluids in the First Half of Pregnancy

1999 ◽  
Vol 93 (1) ◽  
pp. 25-29 ◽  
Author(s):  
ERIC JAUNIAUX ◽  
BEATRICE GULBIS ◽  
GANESH ACHARYA ◽  
PHILIPPE THIRY ◽  
CHARLES RODECK
2021 ◽  
Author(s):  
Xinli Song ◽  
Qiongxuan Li ◽  
Jingyi Diao ◽  
Jinqi Li ◽  
Yihuan Li ◽  
...  

Abstract Background: MTHFD may affect the embryonic development by elevated homocysteine levels, DNA synthesis and DNA methylation, but limited number of genetic variants of MTHFD was focused on the association with congenital heart disease (CHD). This study examined the role of MTHFD and maternal smoking in CHD risk, and investigated their interaction effects in Chinese populations. Methods: A case-control study of 464 mothers of CHD infants and 504 mothers of health controls was performed. The exposures of interest were maternal tobacco exposure, single nucleotide polymorphisms (SNPs) of maternal MTHFD gene. The logistic regression model was used for accessing the strength of association.Results: Mothers exposed to secondhand smoke during three months before pregnancy (adjusted odds ratio [aOR] = 1.56; 95% confidence interval [CI]: 1.13-2.15) and in the first trimester of pregnancy (aOR = 2.24; 95%CI: 1.57-3.20) were observed an increased risk of CHD. Our study also found that polymorphisms of maternal MTHFD gene at rs1950902 (AA vs. GG: aOR = 1.73, 95% CI: 1.01-2.97), rs2236222 (GG vs. AA: aOR = 2.38, 95% CI: 1.38-4.12), rs1256142 (GA vs.GG: aOR = 1.57, 95% CI: 1.01-2.45) and rs11849530 (GG vs. AA: aOR = 1.68, 95% CI: 1.02-2.77) were significantly associated with higher risk of CHD. Furthermore, we found the different degrees of interaction effects between polymorphisms of the MTHFD gene including rs1950902, rs2236222, rs1256142, rs11849530 and rs2236225, and maternal tobacco exposure.Conclusions: Maternal polymorphisms of MTHFD gene at rs1950902, rs2236222, rs1256142 and rs11849530, maternal tobacco exposure and their interactions are significantly increased the risk of CHD in offspring. However, more studies in different ethnic populations with a larger sample and prospective designs are required to confirm our findings.Trial registration: Registration number: ChiCTR1800016635; http://www.chictr.org.cn/edit.aspx?pid=28300&htm=4


Medicine ◽  
2021 ◽  
Vol 100 (34) ◽  
pp. e26986
Author(s):  
Yaqian Zhou ◽  
JunRong Chen ◽  
Yunpeng Dong ◽  
Jinhua Shen ◽  
Mei Tian ◽  
...  

2018 ◽  
Vol 81 (6) ◽  
pp. 708-714 ◽  
Author(s):  
Anthony H. Bui ◽  
Ayisha Ayub ◽  
Mairaj K. Ahmed ◽  
Emanuela Taioli ◽  
Peter J. Taub

Author(s):  
Juan De Leon-Luis ◽  
Ricardo Perez ◽  
Pilar Pintado Recarte ◽  
Alfredo Avellaneda Fernandez ◽  
Carlos Romero Roman ◽  
...  

Author(s):  
Hernâni Marques ◽  
Pedro Cruz-Vicente ◽  
Tiago Rosado ◽  
Mário Barroso ◽  
Luís A. Passarinha ◽  
...  

Environmental tobacco smoke exposure (ETS) and smoking have been described as the most prevalent factors in the development of certain diseases worldwide. According to the World Health Organization, more than 8 million people die every year due to exposure to tobacco, around 7 million due to direct ETS and the remaining due to exposure to second-hand smoke. Both active and second-hand exposure can be measured and controlled using specific biomarkers of tobacco and its derivatives, allowing the development of more efficient public health policies. Exposure to these compounds can be measured using different methods (involving for instance liquid- or gas-chromatographic procedures) in a wide range of biological specimens to estimate the type and degree of tobacco exposure. In recent years, a lot of research has been carried out using different extraction methods and different analytical equipment; this way, liquid–liquid extraction, solid-phase extraction or even miniaturized procedures have been used, followed by chromatographic analysis coupled mainly to mass spectrometric detection. Through this type of methodologies, second-hand smokers can be distinguished from active smokers, and this is also valid for e-cigarettes and vapers, among others, using their specific biomarkers. This review will focus on recent developments in the determination of tobacco smoke biomarkers, including nicotine and other tobacco alkaloids, specific nitrosamines, polycyclic aromatic hydrocarbons, etc. The methods for their detection will be discussed in detail, as well as the potential use of threshold values to distinguish between types of exposure.


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