Protein and lipid homeostasis altered in rat macrophages after exposure to metallic oxide nanoparticles

大鼠巨噬细胞暴露于金属氧化物纳米粒子后蛋白质和脂质稳态发生改变

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作者:Zahra Doumandji, Ramia Safar, Mélanie Lovera-Leroux, Sara Nahle, Hilary Cassidy, David Matallanas, Bertrand Rihn, Luc Ferrari, Olivier Joubert

Abstract

Metal oxide nanoparticles (NPs), such as ZnO, ZnFe2O4, and Fe2O3, are widely used in industry. However, little is known about the cellular pathways involved in their potential toxicity. Here, we particularly investigated the key molecular pathways that are switched on after exposure to sub-toxic doses of ZnO, ZnFe2O4, and Fe2O3 in the in vitro rat alveolar macrophages (NR8383). As in our model, the calculated IC50 were respectively 16, 68, and more than 200 μg/mL for ZnO, ZnFe2O4, and Fe2O3; global gene and protein expression profiles were only analyzed after exposure to ZnO and ZnFe2O4 NPs. Using a rat genome microarray technology, we found that 985 and 1209 genes were significantly differentially expressed in NR8383 upon 4 h exposure to ¼ IC50 of ZnO and ZnFe2O4 NPs, respectively. It is noteworthy that metallothioneins were overexpressed genes following exposure to both NPs. Moreover, Ingenuity Pathway Analysis revealed that the top canonical pathway disturbed in NR8383 exposed to ZnO and ZnFe2O4 NPs was eIF2 signaling involved in protein homeostasis. Quantitative mass spectrometry approach performed from both NR8383 cell extracts and culture supernatant indicated that 348 and 795 proteins were differentially expressed upon 24 h exposure to ¼ IC50 of ZnO and ZnFe2O4 NPs, respectively. Bioinformatics analysis revealed that the top canonical pathways disturbed in NR8383 were involved in protein homeostasis and cholesterol biosynthesis for both exposure conditions. While VEGF signaling was specific to ZnO exposure, iron homeostasis signaling pathway was specific to ZnFe2O4 NPs. Overall, the study provides resource of transcriptional and proteomic markers of response to ZnO and ZnFe2O4 NP-induced toxicity through combined transcriptomics, proteomics, and bioinformatics approaches.

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