Using three statistical methods to analyze the association between aldehyde exposure and markers of inflammation and oxidative stress.

BACKGROUND: Exposure to aldehydes has been linked to adverse health outcomes such as inflammation and oxidative stress, but research on the effects of these compounds is limited. This study is aimed at assessing the association between aldehyde exposure and markers of inflammation and oxidative stress. METHODS: The study used data from the NHANES 2013-2014 survey (n = 766) and employed multivariate linear models to investigate the relationship between aldehyde compounds and various markers of inflammation (alkaline phosphatase (ALP) level, absolute neutrophil count (ANC), and lymphocyte count) and oxidative stress (bilirubin, albumin, and iron levels) while controlling for other relevant factors. In addition to generalized linear regression, weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) analyses were applied to examine the single or overall effect of aldehyde compounds on the outcomes. RESULTS: In the multivariate linear regression model, each 1 standard deviation (SD) change in propanaldehyde and butyraldehyde was significantly associated with increases in serum iron levels (beta and 95% confidence interval, 3.25 (0.24, 6.27) and 8.40 (0.97, 15.83), respectively) and the lymphocyte count (0.10 (0.04, 0.16) and 0.18 (0.03, 0.34), respectively). In the WQS regression model, a significant association was discovered between the WQS index and both the albumin and iron levels. Furthermore, the results of the BKMR analysis showed that the overall impact of aldehyde compounds was significantly and positively correlated with the lymphocyte count, as well as the levels of albumin and iron, suggesting that these compounds may contribute to increased oxidative stress. CONCLUSIONS: This study reveals the close association between single or overall aldehyde compounds and markers of chronic inflammation and oxidative stress, which has essential guiding value for exploring the impact of environmental pollutants on population health.

Functional analysis of the congenital heart disease­associated GATA4 H436Y mutation in vitro.

Congenital heart disease (CHD) is the most common type of developmental defect, with high rates of morbidity in infants. The transcription factor GATA­binding factor 4 (GATA4) has been reported to serve a critical role in embryogenesis and cardiac development. Our previous study reported a heterozygous GATA4 c.1306C>T (p.H436Y) mutation in four Chinese infants with congenital heart defects. In the present study, functional analysis of the GATA4 H436Y mutation was performed in vitro. The functional effect of GATA4 mutation was compared with GATA4 wild­type using a dual­luciferase reporter assay system and immunofluorescence. Electrophoretic mobility­shift assays were performed to explore the binding affinity of the mutated GATA4 to the heart and neural crest derivatives expressed 2 (HAND2) gene. The results revealed that the mutation had no effect on normal nuclear localization, but resulted in diminished GATA­binding affinity to HAND2 and significantly decreased gene transcriptional activation. These results indicated that this GATA4 mutation may not influence cellular localization in transfected cells, but may affect the affinity of the GATA­binding site on HAND2 and decrease transcriptional activity, thus suggesting that the GATA4 mutation may be associated with the pathogenesis of CHD.