Maternal Smoking Induced Cardiovascular Risks in Fetuses: How Can in silico Models Help?

Ho, Harvey; Guo, Hongchao; Means, Shawn; Jing, Tang; Hunter, Peter

doi:10.3389/fbioe.2020.00097

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…Still, few in silico models are developed for SIDS. A previous article proposed a roadmap for investigating the effects of maternal smoking on cardiovascular risks ( Ho et al, 2020 ). In that roadmap, several components were suggested, including physiologically based pharmacokinetic (PBPK) models, blood flow and endothelial cell signaling models, bioinformatics, stem cell technology, etc.…”

Section: Introductionmentioning

confidence: 99%

Secondhand Smoking and Sudden Infant Death Syndrome: How can in Silico Pharmacokinetics and Circulation Models Contribute?

Ran

2022

Front. Bioeng. Biotechnol.

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Section: Introductionmentioning

confidence: 99%

Secondhand Smoking and Sudden Infant Death Syndrome: How can in Silico Pharmacokinetics and Circulation Models Contribute?

Ran

2022

Front. Bioeng. Biotechnol.

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“…A study in Taiwan for 278 pregnant women found that the mothers not exposed to smoking had children that weighed significantly more (3205.7 ± 373.1 g) than those of active smoker mothers (2959 ± 403.7 g) and those of SHS-exposed mothers (3089.7 ± 363.0 g) (6). Exposure to smoking is also associated with cardiovascular diseases of mothers and fetuses (7,8). In a study of 60,377 women in Shanghai, the authors found that female non-smokers who lived with husbands who smoked had an elevated prevalence of stroke (8).…”

Section: Introductionmentioning

confidence: 99%

A Pilot Study on Secondhand Smoke Exposure Among Pregnant Women in Chongqing, China: A Combined Questionnaire, Saliva Cotinine Test, and Ultrasound Flow Index Analysis

Jing¹,

Shen²,

Zhang

et al. 2020

Front. Public Health

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The aim of the study was to gain updated data on SHS exposure among pregnant women in Chongqing city, one of the four municipalities of China. Study Design and Setting: Pregnant women attending routine ultrasound checks at an obstetrics and gynecology center voluntarily participated in the survey of SHS exposure. Some participants were also invited to have saliva cotinine tests using a NicAlert kit. The pulsatility index (PI) of the umbilical artery was compared between the SHS and non-SHS groups. Results: A total of 548 pregnant women (74.82 and 25.18% at 12 and 24 weeks' gestation, respectively) participated in the survey from July to November 2019. SHS exposure was reported by 29.44% of participants. "Workplace" was listed as the top location for SHS exposure. Twenty-three of the 31 participants who tested cotinine-negative in their saliva samples self-reported SHS exposure in the survey questionnaire. However, two of the eight participants who tested cotinine-positive in their saliva samples self-reported SHS-exposure negative. The mean PI in the SHS group is higher than that in the non-SHS group (1.10 vs. 1.02) in fetuses at 24 weeks' gestation. However, the PI may not be suitable as an index for SHS exposure at 12 weeks' gestation due to frequent absent or reversed diastolic flow. Conclusion: The first survey on SHS exposure in pregnant women that combines a questionnaire, saliva cotinine tests, and ultrasound flow index analysis has been performed in China and provided valuable data for ensuing studies.

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Maternal Smoking Induced Cardiovascular Risks in Fetuses: How Can in silico Models Help?

Cited by 2 publications

References 41 publications

Secondhand Smoking and Sudden Infant Death Syndrome: How can in Silico Pharmacokinetics and Circulation Models Contribute?

Secondhand Smoking and Sudden Infant Death Syndrome: How can in Silico Pharmacokinetics and Circulation Models Contribute?

A Pilot Study on Secondhand Smoke Exposure Among Pregnant Women in Chongqing, China: A Combined Questionnaire, Saliva Cotinine Test, and Ultrasound Flow Index Analysis

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