44 research outputs found

    An Overview of Adverse Outcome Pathway Links between PM<sub>2.5</sub> Exposure and Cardiac Developmental Toxicity

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    Fine particulate matter (PM2.5) is a significant risk factor for birth defects. As the first and most important organ to develop during embryogenesis, the heart’s potential susceptibility to PM2.5 has attracted growing concern. Despite several studies supporting the cardiac developmental toxicity of PM2.5, the diverse study types, models, and end points have prevented the integration of mechanisms. In this Review, we present an adverse outcome pathway framework to elucidate the association between PM2.5-induced molecular initiating events and adverse cardiac developmental outcomes. Activation of the aryl hydrocarbon receptor (AhR) and excessive generation of reactive oxygen species (ROS) were considered as molecular initiating events. The excessive production of ROS induced oxidative stress, endoplasmic reticulum stress, DNA damage, and inflammation, resulting in apoptosis. The activation of the AhR inhibited the Wnt/β-catenin pathway and then suppressed cardiomyocyte differentiation. Impaired cardiomyocyte differentiation and persistent apoptosis resulted in abnormalities in the cardiac structure and function. All of the aforementioned events have been identified as key events (KEs). The culmination of these KEs ultimately led to the adverse outcome, an increased morbidity of congenital heart defects (CHDs). This work contributes to understanding the causes of CHDs and promotes the safety evaluation of PM2.5.</sub

    Subcellular localization of silica nanoparticles.

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    <p>(A) LSCM images of HUVECs after incubation for 24 h with Ruthenium (II) hydrate labeled silica nanoparticles (50 µg/mL, red) of size 62 nm. The cell skeleton was stained with Phalloidin-FITC (green), and the cell nucleus with 4,6-diamidino-2-phenylindole (DAPI; blue). (B) TEM images of HUVECs exposed to silica nanoparticles for 24 h. Both TEM and LSCM results showed that the silica nanoparticles were internalized into cells compared to control group.</p

    DNA damage of HUVECs after exposed to silica nanoparticles for 24 h determined by comet assay.

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    <p>(A) Control group, (B) 25 µg/mL treated group, (C) 50 µg/mL treated group, (D) 75 µg/mL treated group, (E) 100 µg/mL treated group. More severe DNA injury was reflected by larger area of the comet tail. The DNA damage caused by silica nanoparticles was getting more serious with the dosages increasing. The magnification was 200× by fluorescence microscope.</p

    Effects of silica nanoparticles on G2/M DNA damage checkpoint signaling pathway

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    <p>. (A) Effect of silica nanoparticles on the expression of Chk1, Cdc25C, cyclin B1, Cdc2. GAPDH was used as an internal control to monitor for equal loading. (B) Relative densitometric analysis of the proteins bands was performed and presented. Silica nanoparticles induced G2/M arrest through the upregulation of Chk1 and the downregulation of Cdc25C, cyclin B1/Cdc2. Data are expressed as means ± S.D. from three independent experiments (*p<0.05).</p

    Cytotoxicity of HUVECs induced by silica nanoparticles.

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    <p>(A) Morphological changes of HUVECs after exposure to silica nanoparticles for 24 h. Cell density reduction, irregular shape and cellular shrinkage were observed by optical microscope. (B) Cell viability of HUVECs treated with silica nanoparticles was measured by MTT assay after 6 h, 12 h, 24 h exposure. (C) LDH leakage of HUVECs exposed to viarous concentrations of silica nanoparticles for 24 h. The results indicated that silica nanoparticles induced cytotoxicity in a dose- and time-dependent manner. Data are expressed as means ± S.D. from three independent experiments (*p<0.05).</p

    Apoptosis of HUVECs after exposure to silica nanoparticles for 24 h.

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    <p>(A) Apoptotic and necrotic populations of cells double-stained with PI- and FITC-labled Annexin V were depicted by flow cytometry. FITC negative and PI negative were designated as live cells in the lower left quadrant; FITC positive and PI negative as apoptotic cells in the upper left quadrant; FITC positive and PI positive as necrotic cells in the upper right quadrant; and FITC negative and PI positive as large nuclear fragments in the lower right quadrant. (B) HUVECs exposure to silica nanoparticles caused increase of both necrosis and apoptosis rate. The apoptosis rate was much lower than the necrosis rate. Data are expressed as means ± S.D. from three independent experiments (*p<0.05).</p

    Cell cycle arrest of HUVECs induced by silica nanoparticles.

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    <p>After exposure to various concentrations of silica nanoparticles for 24 h, flow cytometry were used to determine the cell cycle distribution of HUVECs. The images showed that cell cycle was arrested in G2/M phase. The percentage of cells in G2/M phase increased progressively in a dose-dependent manner, while in G0/G1 and S phase the percentage of cells declined irregular.</p

    Mitochondrial membrane potential changes after silica nanoparticles exposure for 24 h detected with JC-1 probe by flow cytometry.

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    <p>The green/red fluorescence intensity ratio was used to express the changes of MMP and the increased ratio indicates decrease of MMP. Data are expressed as means ± S.D. from three independent experiments (*p<0.05).</p

    Oxidative stress and oxidative damage induced by silica nanoparticles on HUVECs.

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    <p>The intracellular levels of ROS and MDA were obviously increased (A, B). While SOD and GSH-Px levels were decreased significantly with a dose-dependent way (C, D). Silica nanoparticles-induced ROS generation caused oxidative damage followed by the production of MDA as well as the inhibition of SOD and GSH-Px. Data are expressed as means ± S.D. from three independent experiments (*p<0.05).</p

    Characterization of silica nanoparticles.

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    <p>(A) Transmission electron microscopy image: TEM images of silica nanoparticles had a spherical shape with the average diameter of 62 nm. (B) Size distribution: The size distribution measured by ImageJ software showed approximately normal distribution.</p
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