A redox proteomics approach to investigate the mode of action of nanomaterials.

Abstract:

:Numbers of engineered nanomaterials (ENMs) are steadily increasing. Therefore, alternative testing approaches with reduced costs and high predictivity suitable for high throughput screening and prioritization are urgently needed to ensure a fast and effective development of safe products. In parallel, extensive research efforts are targeted to understanding modes of action of ENMs, which may also support the development of new predictive assays. Oxidative stress is a widely accepted paradigm associated with different adverse outcomes of ENMs. It has frequently been identified in in vitro and in vivo studies and different assays have been developed for this purpose. Fluorescent dye based read-outs are most frequently used for cell testing in vitro but may be limited due to possible interference of the ENMs. Recently, other assays have been put forward such as acellular determination of ROS production potential using methods like electron spin resonance, antioxidant quantification or the use of specific sensors. In addition, Omics based approaches have gained increasing attention. In particular, redox proteomics can combine the assessment of oxidative stress with the advantage of getting more detailed mechanistic information. Here we propose a comprehensive testing strategy for assessing the oxidative stress potential of ENMs, which combines acellular methods and fast in vitro screening approaches, as well as a more involved detailed redox proteomics approach. This allows for screening and prioritization in a first tier and, if required, also for unraveling mechanistic details down to compromised signaling pathways.

journal_name

Toxicol Appl Pharmacol

authors

Riebeling C,Wiemann M,Schnekenburger J,Kuhlbusch TA,Wohlleben W,Luch A,Haase A

doi

10.1016/j.taap.2016.01.019

subject

Has Abstract

pub_date

2016-05-15 00:00:00

pages

24-9

eissn

0041-008X

issn

1096-0333

pii

S0041-008X(16)30019-9

journal_volume

299

pub_type

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