Dataset Information

A proteome-wide assessment of the oxidative stress paradigm for metal and metal-oxide nanomaterials in human macrophages.

ABSTRACT: Responsible implementation of engineered nanomaterials (ENMs) into commercial applications is an important societal issue, driving demand for new approaches for rapid and comprehensive evaluation of their bioactivity and safety. An essential part of any research focused on identifying potential hazards of ENMs is the appropriate selection of biological endpoints to evaluate. Herein, we use a tiered strategy employing both targeted biological assays and untargeted quantitative proteomics to elucidate the biological responses of human THP-1 derived macrophages across a library of metal/metal oxide ENMs, raised as priority ENMs for investigation by NIEHS's Nanomaterial Health Implications Research (NHIR) program. Our results show that quantitative cellular proteome profiles readily distinguish ENM types based on their cytotoxic potential according to induction of biological processes and pathways involved in the cellular antioxidant response, TCA cycle, oxidative stress, endoplasmic reticulum stress, and immune responses as major processes impacted. Interestingly, bioinformatics analysis of differentially expressed proteins also revealed new biological processes that were influenced by all ENMs independent of their cytotoxic potential. These included biological processes that were previously implicated as mechanisms cells employ as adaptive responses to low levels of oxidative stress, including cell adhesion, protein translation and protein targeting. Unsupervised clustering revealed the most striking proteome changes that differentiated ENM classes highlight a small subset of proteins involved in the oxidative stress response (HMOX1), protein chaperone functions (HS71B, DNJB1), and autophagy (SQSTM), providing a potential new panel of markers of ENM-induced cellular stress. To our knowledge, the results represent the most comprehensive profiling of the biological responses to a library of ENMs conducted using quantitative mass spectrometry-based proteomics. The results provide a basis to identify the patterns of a diverse set of cellular pathways and biological processes impacted by ENM exposure in an important immune cell type, laying the foundation for multivariate, pathway-level structure activity assessments of ENMs in the future.

SUBMITTER: Zhang T

PROVIDER: S-EPMC7055704 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A proteome-wide assessment of the oxidative stress paradigm for metal and metal-oxide nanomaterials in human macrophages.

Zhang Tong T Gaffrey Matthew J MJ Thomas Dennis G DG Weber Thomas J TJ Hess Becky M BM Weitz Karl K KK Piehowski Paul D PD Petyuk Vladislav A VA Moore Ronald J RJ Qian Wei-Jun WJ Thrall Brian D BD

NanoImpact 20191123

Responsible implementation of engineered nanomaterials (ENMs) into commercial applications is an important societal issue, driving demand for new approaches for rapid and comprehensive evaluation of their bioactivity and safety. An essential part of any research focused on identifying potential hazards of ENMs is the appropriate selection of biological endpoints to evaluate. Herein, we use a tiered strategy employing both targeted biological assays and untargeted quantitative proteomics to eluci ...[more]

PMID: 32133426

Similar Datasets

Project description:Exposure to particulate matter (PM) is consistently associated with increased morbidity and mortality attributable in part to respiratory illnesses. The alveolar macrophage (AM) is one of the cell types in the lung constantly exposed to and activated by ambient pollutants. Upon contact with environmental particulate pollutants, AM produces reactive oxygen species (ROS) and antioxidant enzymes, but the scope of this oxidative stress response induced by PM remains poorly defined. In this study, we used microarray analysis to determine the gene expression profile in human alveolar macrophages upon exposure to PM and sought to gain more insight into the global response of pro- and anti-oxidant enzymes to PM exposure. Human AM were obtained by bronchoscopy from normal individuals. They were then incubated with Chapel Hill PM2.5 (1 ïg/ml) or vehicle for 4 hours (n = 6 independent samples each). mRNAs were extracted, amplified and hybridized to Agilent Human 1A microarray. Differentially expressed genes were identified by Statistical Analysis for Microarrays (SAM) with a FDR of 10% and a P â¤ 0.05. Significant genes were also mapped with Gene Ontology (GO) based on their molecular function. We found 34 and 41 up- and down-regulated genes respectively. Of these, 22 genes (~30%) were involved in metal binding and 14 genes were linked to oxidative stress, including 5 metallothionein-1 (MT1) isoform genes. In lung cells, addition of MT-1F in the medium attenuated PM2.5-induced H2O2 production while knockdown of MT1F gene expression increased H2O2 and IL-6 release induced by PM2.5. Our microarray experiments provided a global view of gene expression after in vitro PM2.5 exposure in human AM. The expression profile was most notable for differential expression of genes related to metal binding and oxidative stress, especially upregulation of MT1 isoform genes. Our findings suggest that metals associated with PM, e.g., zinc, copper, and arsenic, induce MT-1 and may be the primary mediators for PM-induced oxidative stress. Keywords: in vitro exposure, PM2.5 particle treatment, human alveolar macrophages Total RNA was isolated from alveolar macrophages from 6 subjects were treated in vitro with PM2.5 particles or vehicle control for 4 hrs. All particle-treated samples were co-hybridized with the common reference sample (pool of all 6 vehicle-treated samples) twice with Cy3 and Cy5 dyes flipped (12 hybridizations). Three samples were also co-hybridized with its own individual control (vehicle-treatment for the same subject) with Cy3 and Cy5 dyes flipped (6 additional hybridizations).

Project description:Exposure to particulate matter (PM) is consistently associated with increased morbidity and mortality attributable in part to respiratory illnesses. The alveolar macrophage (AM) is one of the cell types in the lung constantly exposed to and activated by ambient pollutants. Upon contact with environmental particulate pollutants, AM produces reactive oxygen species (ROS) and antioxidant enzymes, but the scope of this oxidative stress response induced by PM remains poorly defined. In this study, we used microarray analysis to determine the gene expression profile in human alveolar macrophages upon exposure to PM and sought to gain more insight into the global response of pro- and anti-oxidant enzymes to PM exposure. Human AM were obtained by bronchoscopy from normal individuals. They were then incubated with Chapel Hill PM2.5 (1 ug/ml) or vehicle for 4 hours (n = 6 independent samples each). mRNAs were extracted, amplified and hybridized to Agilent Human 1A microarray. Differentially expressed genes were identified by Statistical Analysis for Microarrays (SAM) with a FDR of 10% and a P ≤ 0.05. Significant genes were also mapped with Gene Ontology (GO) based on their molecular function. We found 34 and 41 up- and down-regulated genes respectively. Of these, 22 genes (~30%) were involved in metal binding and 14 genes were linked to oxidative stress, including 5 metallothionein-1 (MT1) isoform genes. In lung cells, addition of MT-1F in the medium attenuated PM2.5-induced H2O2 production while knockdown of MT1F gene expression increased H2O2 and IL-6 release induced by PM2.5. Our microarray experiments provided a global view of gene expression after in vitro PM2.5 exposure in human AM. The expression profile was most notable for differential expression of genes related to metal binding and oxidative stress, especially upregulation of MT1 isoform genes. Our findings suggest that metals associated with PM, e.g., zinc, copper, and arsenic, induce MT-1 and may be the primary mediators for PM-induced oxidative stress. Keywords: in vitro exposure, PM2.5 particle treatment, human alveolar macrophages

Project description:Manufacturers of nanomaterial-enabled products need models of endpoints that are relevant to human safety to support the "safe by design" paradigm and avoid late-stage attrition. Increasingly, embryonic zebrafish (Danio Rerio) are recognised as a key human safety relevant in vivo test system. Hence, machine learning models were developed for identifying metal oxide nanomaterials causing lethality to embryonic zebrafish up to 24 hours post-fertilisation, or excess lethality in the period of 24-120 hours post-fertilisation, at concentrations of 250 ppm or less. Models were developed using data from the Nanomaterial Biological-Interactions Knowledgebase for a dataset of 44 diverse, coated and uncoated metal or, in one case, metalloid oxide nanomaterials. Different modelling approaches were evaluated using nested cross-validation on this dataset. Models were initially developed for both lethality endpoints using multiple descriptors representing the composition of the core, shell and surface functional groups, as well as particle characteristics. However, interestingly, the 24 hours post-fertilisation data were found to be harder to predict, which could reflect different exposure routes. Hence, subsequent analysis focused on the prediction of excess lethality at 120 hours-post fertilisation. The use of two data augmentation approaches, applied for the first time in nano-QSAR research, was explored, yet both failed to boost predictive performance. Interestingly, it was found that comparable results to those originally obtained using multiple descriptors could be obtained using a model based upon a single, simple descriptor: the Pauling electronegativity of the metal atom. Since it is widely recognised that a variety of intrinsic and extrinsic nanomaterial characteristics contribute to their toxicological effects, this is a surprising finding. This may partly reflect the need to investigate more sophisticated descriptors in future studies. Future studies are also required to examine how robust these modelling results are on truly external data, which were not used to select the single descriptor model. This will require further laboratory work to generate comparable data to those studied herein.

Dataset Information

A proteome-wide assessment of the oxidative stress paradigm for metal and metal-oxide nanomaterials in human macrophages.

Publications

A proteome-wide assessment of the oxidative stress paradigm for metal and metal-oxide nanomaterials in human macrophages.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets