No abstract

Micronuclei (MN) frequencies in peripheral blood lymphocytes have been used worldwide as a biomarker of chromosomal damage for genotoxicity testing and biomonitoring studies. Automation of MN analysis would provide faster and more reliable results with minimizing subjective MN identification. We developed an automated facility for the scoring of the in vitro MN cytokinesis-block assay for biomonitoring on Giemsa-stained slides, fulfilling the following criteria: applicable to the cytokinesis-block micronucleus methodology, discriminating between mono-, bi- and polynucleated cells, MN scoring according to HUMN scoring criteria, false-negative MN rate <10% and false-positive (FP) MN rate <1%. We first adapted the slide preparation protocol to obtain an optimal cell density and dispersion, which is important for image analysis. We developed specific algorithms starting from the cell as a detection unit. The whole detection and scoring process was separated into two distinct steps: in the first step, the cells and nuclei are detected; then, in the second step, the MN are searched for in the detected cells. Since the rate of FP MN obtained by the automatic analysis was in the range of 0.5-1.5%, an interactive visual validation step was introduced, which is not time consuming and allows quality control. Validation of the automated scoring procedure was undertaken by comparing the results of visual and automated scoring of micronucleated mono- and binucleated cells in human lymphocytes induced by two clastogens (ionizing radiation and methyl methane-sulphonate), two aneugens (nocodazole and carbendazim) and one apoptogen (staurosporine). Although the absolute MN frequencies obtained with automated scoring were lower as compared to those detected by visual scoring, a clear dose response for MNBN frequencies was observed with the automated scoring system, indicating that it is able to produce biologically relevant and reliable results. These observations, together with its ability to detect cells, nuclei and MN in accordance with the HUMN scoring criteria, confirm the usability of the automated MN analysis system for biomonitoring.

The toxicological relevance of the micronucleus (MN) test is well defined: it is a multi-target genotoxic endpoint, assessing not only clastogenic and aneugenic events but also some epigenetic effects, which is simple to score, accurate, applicable in different cell types. In addition, it is predictive for cancer, amenable for automation and allows good extrapolation for potential limits of exposure or thresholds and it is easily measured in experimental both in vitro and in vivo systems. Implementation of in vitro micronucleus (IVMN) assays in the battery of tests for hazard and risk assessment of potential mutagens/carcinogens is therefore fully justified. Moreover, the final draft of an OECD guideline became recently available for this test. In this review, we discuss the prerequisites for an acceptable MN assay, including the cell as unit of observation, importance of cell membranes, the requirement of a mitotic or meiotic division and the assessment of cell division in the presence of the test substance. Furthermore, the importance of adequate design of protocols is highlighted and new developments, in particular the in vitro 3D human skin models, are discussed. Finally, we address future research perspectives including the possibility of a combined primary 3D human skin and primary human whole blood culture system, and the need for adaptation of the IVMN assays to assess the genotoxic potential of new materials, in particular nanomaterials.

We explored how to assess the genotoxic potential of nanosize particles with a well validated assay, the in vitro cytochalasin-B micronucleus assay, detecting both clastogens and aneugens. Monodisperse Stöber amorphous silica nanoparticles (SNPs) of three different sizes (16, 60 and 104 nm) and A549 lung carcinoma cells were selected as models. Cellular uptake of silica was monitored by ICP-MS. At non-cytotoxic doses the smallest particles showed a slightly higher fold induction of micronuclei (MNBN). When considering the three SNPs together, particle number and total surface area appeared to account for MNBN induction as they both correlated significantly with the amplitude of the effect. Using nominal or cellular dose did not show statistically significant differences. Likewise, alkaline comet assay and FISH-centromeric probing of MNBN indicated a weak and not statistically significant induction of oxidative DNA damage, chromosome breakage and chromosome loss. This line of investigation will contribute to adequately design and interpret nanogenotoxicity assays.

For many years, the analysis of micronuclei (MN) has been successfully applied to human biomonitoring of in vivo genotoxin exposure and provides a sensitive and relatively easy methodology to assess genomic instability. However, there is a need for automation of MN analysis for rapid, more reliable and non-subjective MN detection. In this review, we evaluate the application of automated image analysis of the in vitro cytokinesis-block MN assay on human lymphocytes for human biomonitoring, starting with the requirements that should be fulfilled by a valid and efficient image analysis system. Considering these prerequisites, we compare the automated facility developed in the framework of the European Union-project NewGeneris with other already published systems for automated scoring of MN. Although the automated scoring of MN is now put into place, extension to other cytome assay end points such as apoptosis, necrosis, nuclear buds and nucleoplasmic bridges would greatly enhance the specificity and sensitivity of future biomonitoring studies. Inclusion of these end points would also allow an automated approach to in vitro genotoxicity testing. In addition, automated scoring of the MN assay in exfoliated buccal cells would be very beneficial for large-scale biomonitoring studies, as cells can be collected in a minimally invasive manner.