Green space exposure during pregnancy and umbilical cord blood levels of liver enzymes.

Evidence has suggested better pregnancy outcomes due to exposure to greenspace; however, the studies on such an association with the level of liver enzymes in the cord blood are still nonexistent. Hence, this study investigated the relationship between exposure to greenspace during the entire pregnancy and gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) levels in cord blood samples. We selected 150 pregnant women from our pregnancy cohort in Sabzevar, Iran (2018). Greenspace exposure was characterized based on (i) residential distance to green space, (ii) time spent in public/private green spaces, (iii) residential surrounding greenspace, (iv) visual access to greenspace, and (v) number of indoor natural pot plants at home. We developed linear regression models to investigate the adjusted associations of greenspace exposure with enzyme levels. Each one interquartile range (IQR) increase in the residential surrounding greenspace (100 m buffer) was related to a reduction of -12.58 (U/L) (95% CI -22.86, -2.29), -3.35 (U/L) (95% CI -5.50, -1.20), and -0.57 (U/L) (95% CI -1.12, -0.02) in the levels of GGT, AST, and ALT, respectively. Moreover, a similar association was observed for the time the participants spent in green spaces. A decrease in the residential distance to large green spaces was related with lower cord blood levels of AST, ALT, and GGT. Having a window with greenspace view at home was significantly related to lower AST level. The results for the indoor plant pots were not conclusive. Our findings suggested an inverse relationship between greenspace exposure during pregnancy and cord blood levels of liver enzymes. Further studies in other settings and populations are needed to confirm our findings.

ABCG2, SCN1A and CYP3A5 genes polymorphism and drug-resistant epilepsy in children: A case-control study.

PURPOSE: Drug Resistant -Epilepsy is still a major challenge in pharmacotherapy of epilepsy. Pharmacogenetic pathways are one of the most important elements that can help clinicians determine medication response and provide more efficient drug therapy, especially in cases of drug resistance. Genetic alterations in drug target and transporter proteins, in part, could explain the development of drug-resistant epilepsy. We sought to assess the association of CYP3A5 (rs776746), SCN1A (rs2298771) and ABCG2 (rs2231137) candidate polymorphisms with drug-resistant epilepsy among Iranian children with epilepsy. METHODS: In a hospital-based case-control study, 93 participants, including 45 men and 48 women aged 1.5 to 14 years old were recruited. Genotyping of CYP3A5 (rs776746), SCN1A (rs2298771) and ABCG2 (rs2231137) polymorphisms using the high-resolution melting (HRM) method were measured in 46 children with drug-resistant epilepsy and 47 healthy control subjects. The binary logistic regression model was used to estimate the odds ratio (OR) for each polymorphism per effect allele increase. RESULTS: The mean (standard deviation [SD]) age of the drug-resistant patients was 10.7 (9.0) years versus 7.3 (3.6) in the control group. In the case group, most of the patients with epilepsy were diagnosed with generalized seizure (about 87%) and negative epileptic history status (63%). Furthermore, idiopathic epilepsy was dominant in the case group (69%). There was a clinically meaningful increase in the chance of drug-resistant epilepsy in participants with candidate polymorphism in ABCG2 gene (per allele T increase, adjusted odds ratio [OR] 2.41, confidence interval [CI] 0.99 to 5.87, P=0.05). No significant association was found between CYP3A5 (per allele C increase, OR 0.92, CI 0.33 to 2.60, P= 0.88) and SCN1A (per allele *1 increase, OR 0.65, 95% CI 0.34 to 1.23, P= 0.19) with drug-resistant epilepsy. CONCLUSION: We found evidence for the relationship between the ABCG2 gene polymorphism and a higher chance of drug-resistant epilepsy in children. This finding may have important implications for understanding the role of ABCG2 gene polymorphism in children with drug-resistant epilepsy.

Determinants of carbon load in airway macrophages in pregnant women.

The airway macrophages carbon loading (AMCL) has been suggested to be a biomarker of the long-term exposure to air pollution; however, to date no study has characterized AMCL for the pregnancy period. Therefore, this study aimed to assess the determinants of AMCL during pregnancy in Iran, a middle-income country. This study was based on a sample of 234 pregnant women with term and normal vaginal delivery who were residing in Sabzevar, Iran (2019). We characterized 35 potential determinants of personal exposure to air pollution for each participant, including six personal, nine indoor, and 20 home-outdoor factors. We applied Deletion/Substitution/Addition algorithm to identify the most relevant determinants that could predict AMCL levels. The median (IQR) of AMCL level was 0.12 (0.30) µm2 with a successful sputum induction in 82.9% (194) of participants. Ambient residential PM2.5 levels were positively associated with higher AMCL levels. On the other hand, increased residential distance to the traffic lights, squares and ring-roads, the duration of opening window per day, and opening window during cooking were inversely associated with AMCL levels. Our findings provide novel insights on the different personal, indoor, and outdoor determinants of personal exposure to air pollution during pregnancy in a middle-income country.

Maternal exposure to ambient particulate matter and green spaces and fetal renal function.

Exposure to air pollution has been associated with different harmful effects and exposure to greenspace has been related to improved human health. However, the available evidence on the impact of these exposures on renal function is still scarce. The aim of this study was to determine the relationship between exposure to ambient levels of PM1, PM2.5, PM10 and indicators of exposure to traffic as well as greenspace during pregnancy and fetal renal function based on the umbilical cord blood. This study was based on 150 pregnant women residing in Sabzevar, Iran (2018). Multiple linear regression models were developed to estimate the association of glomerular filtration rate (GFR), creatinine (Cr) and blood urea nitrogen (BUN) with exposure to air pollution, traffic, and greenspace (one at a time) controlled for relevant covariates. There was an inverse significant association between exposure to PM1, PM2.5, PM10 and total street length in a 100 m buffer around the home and eGFR. Increase in distance to major road and residential surrounding greenness (100 m buffer) was associated with increase in eGFR. We observed a significant direct association between exposure to PMs as well as street length in 100 m buffer and serum level of Cr. There was also an inverse association between distance to major road and NDVI in 100 m buffer and Cr. The associations for blood urea nitrogen (BUN) were not statistically significant. Our results suggest that exposure to air pollution during pregnancy could have negative impact and exposure to greenspace could have positive impact on renal function of fetal.

Exposure to air pollution during pregnancy and newborn liver function.

Exposure to air pollution has been associated with a wide range of adverse health outcomes. However, the available evidence on the impact of air pollution exposures on liver enzymes is still scarce. The aim of the present study was to assess the relationship between exposure to ambient PM1, PM2.5 and PM10 during pregnancy and serum level of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP) and gamma-glutamyl transferase (GGT) in cord blood samples of newborns. Moreover, the association between total street length in different buffers and distance to major roads at the maternal residential address and liver enzymes were investigated. This cross-sectional study was based on data from a sample of 150 newborns, from Sabzevar, Iran. Land use regression models were used to estimate concentrations of air pollutants at home during pregnancy. Multiple linear regression was developed to estimate association of AST, ALT, ALP and GGT with air pollution controlled for relevant covariates. In fully adjusted models, increase in PM1 and PM2.5 as well as PM10 were associated with higher levels of AST, ALT and GGT. Moreover, there was a significant association between total street length in a 100 m buffer at residential address with AST, ALT and GGT. Each meter increase in distance to major roads was associated with -0.017 (95% confidence interval (CI): -0.028, -0.006) decrease in AST. Overall, our findings were supportive for association between PMs exposure during pregnancy and increase in liver enzymes in newborns. Further studies are needed to confirm these findings in other settings and populations.