13 SIINN/2015

Project Coordinator (Germany): German Federal Institute for Risk Assessment (BfR), Germany 

Dr. Andrea Haase / Prof. Dr. Dr. Andreas Luch

Telefon: +49-30-18412-3423 (A.H.)/ +49-30-18412-4538 (A.L.)

E-mail: andrea.haase@bfr.bund.de / andreas.luch@bfr.bund.de

Project responsible (Romania): University of Bucharest/Faculty of Biology/DBBM

Prof. Dr. Anca Dinischiotu 

Phone: 021.318.15.75/ int 105

Fax: 021.318.15.75/int 103

E-mail: ancadinischiotu@yahoo.com

Partners involved in the project:

  1. German Federal Institute for Risk Assessment (BfR), Germany
  2. Helmholtz Centre for Environmental Research – UFZ, Germany
  3. BASF Chemical Company, Germany
  4. Institute of Energy and Environmental Technology (IUTA), Germany
  5. University Hospital Hamburg- Eppendorf (UKE), Germany
  6. Tel Aviv University (TAU), Israel
  7. University of Namur, Belgium
  8. StratiCell, Belgium
  9. Institute of Public Health, University of Porto (ISPUP), Portugal
  10. University of Bucharest, Department of Biochemistry and Molecular Biology (UB), Romania
  11. Robert Koch Institute (RKI), Germany

Contracting authority in Romania: UEFISCDI

Project code: ERA-SIINN-NanoToxClass

Type and number of the project: SIINN 2nd Call (2013) Nr. 13/2015 

Project title: Establishing nanomaterial grouping/ classification strategies according to toxicity and biological effects for supporting risk assessment

Project Acronym:  NanoToxClass

Project Duration: 36 months

The budget allocated by UEFISCDI: 900000 RON (200000 Euro)

The total buget of the project: 1536560 Euro (with co-funding 1680641 Euro)

Summary

Currently, risk assessment of manufactured nanomaterials (MNM) is done on a case-by-case basis. Given the broad range of different MNM including all possible variations such as size, shape or coating this is a laborious, time- and cost- intensive process. Testing all MNM variants for all possible endpoints is not feasible. One solution to overcome this problem is grouping of MNM. Here we will focus on grouping according to toxicity and biological effects in humans and mammals. We will establish criteria for grouping on the basis of well-established toxicity endpoints, and include novel approaches such as transcriptomics, proteomics and metabolomics. We will consider existing data from finished projects and published studies. Experimental work in the project is planned in a targeted, selective manner, mainly focusing on high content or Omics data delivering information on modes of action. Validation of grouping will be carried out for a few selected MNM.

Project Objective

Our aim is to develop and validate grouping approaches for MNM. All grouping principles we are aiming to apply will be based on biological effects on mammalian toxicity. Grouping will not only help to prioritise materials for detailed testing but also support risk assessment of MNM and might become a valuable tool in safe-by-design approaches.

Expected results

  • dissemination of project results in ISI indexed journals;
  • dissemination of project results at some national and international conferences with high scientific impact;
  • elaboration of some doctoral, master and bachelor thesis.
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