Statistical analysis of in vivo alkaline comet assay data - Comparison of median and geometric mean as centrality measures.

The comet assay is one of the standard tests for evaluating the genotoxic potential of a test item able to detect DNA strand breaks in cells or isolated nuclei from various tissues. The in vivo alkaline comet assay is part of the standard test battery, given in option 2 of the ICH guidance S2 (R1) and a follow-up test in the EFSA framework on genotoxicity testing. The current OECD guideline for the testing of chemicals No. 489 directly affects the statistical analysis of comet data as it suggests using the median per slide and the mean of all medians per animal. However, alternative approaches can be used if scientifically justified. In this work, we demonstrated that the selection of different centrality measures to describe an average value per slide may lead to fundamentally different statistical test results and contradicting interpretations. Our focus was on geometric means and medians per slide for the primary endpoint "tail intensity". We compared both strategies using original and simulated data in different experimental settings incl. a varying number of animals, slides and cells per slide. In general, it turned out that the chosen centrality measure has an immense impact on the final statistical test result.

The impact of comet assay data normalization in human biomonitoring studies outcomes.

The comet assay has been extensively used in biomonitoring studies. To avoid intra-experimental variability, the incorporation of assay controls in each work session for data normalization has been suggested by some authors but has never been thoroughly analyzed. The aim of this study was to address the impact of data normalization in the results of a biomonitoring study using different normalization models. Human peripheral blood mononuclear cells (PBMC) from 140 healthy individuals were analyzed using the alkaline and FPG-modified version of the comet assay across seven different work sessions. In addition to negative standards, methyl methanesulfonate (MMS) and Ro 19-8022 plus light treated PBMC, were also included in the assay as positive standards. To verify the impact of data normalization, some demographic, lifestyle and environmental exposure-related variables were selected. Significant associations with independent study variables were observed using normalized comet endpoints, as opposed to raw data. After normalization, levels of DNA strand breaks were significantly higher among males and older individuals (>71 years), while net FPG-sensitive sites were positively related to smoking habits and environmental exposures (i.e. air pollution and bottled water consumption). This study highlights how the normalization strategies can influence the statistical results of a human biomonitoring study and lead to different data interpretations.

Genotoxic effects of tobacco use in residents of hilly areas and foot hills of Western Ghats, Southern India.

Smoking and smokeless tobacco consumption is a significant risk factor that provokes genetic alterations. The present investigation was to evaluate the biomarkers of genotoxicity including micronucleus (MN), chromosome aberrations (CA) and DNA strand breaks among tobacco consumers and control individuals residing in hilly areas of Western Ghats, Tamilnadu, South India. This study included 268 tobacco consumers with equal number of controls. The tobacco consumers were divided into Group I (<10 years of tobacco consumption with an age range from 15 to 35 years) and group II (>10 years consumption above 35 years of age). Chromosome aberration (CA) and comet assay were performed using blood and micronucleus assay from exfoliated buccal epithelial cells obtained from tobacco consumers and controls. Elevated levels of CA were found in group II (Chromatid type: 2.39 ± 1.13 and chromosome type: 1.44 ± 1.24) exposed subjects, high micronucleus and DNA damage (TL:4.48 ± 1.24 and TM:3.40 ± 1.58) levels were significantly (p < 0.05) observed in both smoking and smokeless tobacco consumers when comparison with group I and controls. This study also observed a lack of awareness among the tobacco consumers about the harmful health effects of tobacco. Tobacco consumption contributes to the significant alteration in genetic materials. In addition, a high rate of spontaneous abortion was also seen in the studied population.

Preliminary in vitro assessment of the potential toxicity and antioxidant activity of Ceiba speciosa (A. St.-Hill) Ravenna (Paineira)

ABSTRACT The bark tea of Ceiba speciosa, a tropical tree of the Malvaceae family, is used in the Northwestern Region of Rio Grande do Sul state, Brazil, to reduce blood cholesterol levels. However, there are no scientific data on the efficacy and safety of this plant. The aim of the present study was to evaluate the in vitro antioxidant and toxic potential of bark extracts of C. speciosa. We performed a preliminary phytochemical analysis by high-performance liquid chromatography-diode array detection (HPLC-DAD) and evaluated the oxidative damage to proteins and lipids, the radical scavenging effect, and genotoxicity of the lyophilized aqueous extract (LAECs) and the precipitate obtained from the raw ethanol extract (Cs1). The phytochemical profile demonstrated the presence of phenolic and flavonoid compounds. The LAECs and Cs1 prevented damage to lipids and proteins at concentrations of 50 and 10 µg/mL. They also showed a scavenging effect on 2,2-diphenyl-1-pricril-hydrazyl (DPPH) radicals in a concentration-dependent manner. Furthermore, no genotoxic effect was observed at concentrations of 10, 5 and 2 µg/mL in the Comet assay. The present study is the first evaluation regarding the characterization of C. speciosa and its safety, and the results demonstrate its antioxidant potential and suggest that its therapeutic use may be relatively safe.

Human semen quality and sperm DNA damage assessed by comet assay in clinical groups.

BACKGROUND/AIM: About 10%-15% of couples around the world suffer from infertility. Male infertility is responsible directly or indirectly in approximately 60% of cases. A deficiency in semen is the most common cause of male infertility. MATERIALS AND METHODS: The study included 180 male subjects aged 18-50 years with 26 fertile and 154 infertile. The infertile subjects were further subdivided according to the WHO guidelines of semen analysis (2010) into different clinical groups. Sperm DNA damage was estimated using a neutral comet assay. Plasma gonadotropin and testosterone levels were measured using a chemiluminescence assay. RESULTS: The results of the study revealed no significant differences, in semen volume, pH, and liquefaction time between the fertile and all infertile groups. However, sperm concentration, sperm vitality, and sperm motility were significantly lower in all infertile groups as compared to the fertile males. The morphological forms of the sperm and its DNA fragmentation varied significantly between the fertile and infertile males. Reproductive hormone levels were observed to be significantly lower in the infertile than in the fertile males. CONCLUSION: Sperm DNA fragmentation was higher in all of the infertile subjects as compared to the fertile ones. Reproductive hormone levels varied significantly between the infertile patients and the fertile ones.

Performance and data interpretation of the in vivo comet assay in pharmaceutical industry: EFPIA survey results.

In genotoxicity testing of pharmaceuticals the rodent alkaline comet assay is being increasingly used as a second in vivo assay in addition to the in vivo micronucleus assay to mitigate in vitro positive results as recommended by the ICH S2(R1) guideline. This paper summarizes a survey suggested by the Safety Working Party of European Medicines Agency (EMA), and conducted by the European Federation of Pharmaceutical Industries and Associations (EFPIA) to investigate the experience among European pharmaceutical companies by conducting the in vivo comet assay for regulatory purpose. A special focus was given on the typology of the obtained results and to identify potential difficulties encountered with the interpretation of study data. The participating companies reported a total of 147 studies (conducted in-house or outsourced) and shared the conclusion on the comet assay response for 136 studies. Most of the studies were negative (118/136). Only about 10% (14/136 studies) of the comet assays showed a positive response. None of the positive comet assay results were clearly associated with organ toxicity indicating that the positive responses are not due to cytotoxic effects of the compound in the tissue examined. The number of comet assays with an equivocal or inconclusive response was rare, respectively <1% (1/147 studies) and 2% (3/147 studies). In case additional information (e.g. repeat assay, organ toxicity, metabolism, tissue exposure) would have been available for evaluation, a final conclusion could most probably have been drawn for most or all of these studies. All (46) negative in vivo comet assays submitted alongside with a negative in vivo micronucleus assay were accepted by the regulatory authorities to mitigate a positive in vitro mammalian cell assay following the current ICH S2 guidance. The survey results demonstrate the robustness of the comet assay and the regulatory acceptance of the current ICH S2 guidance.

In vivo Comet assay--statistical analysis and power calculations of mice testicular cells.

The in vivo Comet assay is a sensitive method for evaluating DNA damage. A recurrent concern is how to analyze the data appropriately and efficiently. A popular approach is to summarize the raw data into a summary statistic prior to the statistical analysis. However, consensus on which summary statistic to use has yet to be reached. Another important consideration concerns the assessment of proper sample sizes in the design of Comet assay studies. This study aims to identify a statistic suitably summarizing the % tail DNA of mice testicular samples in Comet assay studies. A second aim is to provide curves for this statistic outlining the number of animals and gels to use. The current study was based on 11 compounds administered via oral gavage in three doses to male mice: CAS no. 110-26-9, CAS no. 512-56-1, CAS no. 111873-33-7, CAS no. 79-94-7, CAS no. 115-96-8, CAS no. 598-55-0, CAS no. 636-97-5, CAS no. 85-28-9, CAS no. 13674-87-8, CAS no. 43100-38-5 and CAS no. 60965-26-6. Testicular cells were examined using the alkaline version of the Comet assay and the DNA damage was quantified as % tail DNA using a fully automatic scoring system. From the raw data 23 summary statistics were examined. A linear mixed-effects model was fitted to the summarized data and the estimated variance components were used to generate power curves as a function of sample size. The statistic that most appropriately summarized the within-sample distributions was the median of the log-transformed data, as it most consistently conformed to the assumptions of the statistical model. Power curves for 1.5-, 2-, and 2.5-fold changes of the highest dose group compared to the control group when 50 and 100 cells were scored per gel are provided to aid in the design of future Comet assay studies on testicular cells.

[Use of comet assay for the risk assessment of oil- and chemical-industry workers]. / Comet assay alkalmazása olaj- és vegyipari exponált dolgozók kockázatbecslésében.

INTRODUCTION: The comet assay is a fluorescent microscopic method that is able to detect DNA strand-breaks even in non-proliferative cells in samples with low cell counts. AIM: The aim of the authors was to measure genotoxic DNA damage and assess oxidative DNA damage caused by occupational exposure in groups exposed to benzene, polycyclic aromatic carbohydrates and styrene at the workplace in order to clarify whether the comet assay can be used as an effect marker tool in genotoxicology monitoring. METHOD: In addition to the basic steps of the comet assay, one sample was treated with formamido-pirimidine-DNA-glycolase restriction-enzyme that measures oxidative DNA damage. RESULTS: An increase was observed in tail moments in each group of untreated and Fpg-treated samples compared to the control. CONCLUSIONS: It can be concluded that occupational exposure can be detected with the method. The comet assay may prove to be an excellent effect marker and a supplementary technique for monitoring the presence or absence of genotoxic effects.

Evaluation of single-cell gel electrophoresis data: combination of variance analysis with sum of ranking differences.

Specimens of the mussel Mytilus galloprovincialis were collected from five sites in the Boka Kotorska Bay (Adriatic Sea, Montenegro) during the period summer 2011-autumn 2012. Three types of tissue, haemolymph, digestive gland were used for assessment of DNA damage. Images of randomly selected cells were analyzed with a fluorescence microscope and image analysis by the Comet Assay IV Image-analysis system. Three parameters, viz. tail length, tail intensity and Olive tail moment were analyzed on 4200 nuclei per cell type. We observed variations in the level of DNA damage in mussels collected at different sites, as well as seasonal variations in response. Sum of ranking differences (SRD) was implemented to compare use of different types of cell and different measure of comet tail per nucleus. Numerical scales were transferred into ranks, range scaling between 0 and 1; standardization and normalization were carried out. SRD selected the best (and worst) combinations: tail moment is the best for all data treatment and for all organs; second best is tail length, and intensity ranks third (except for digestive gland). The differences were significant at the 5% level. Whereas gills and haemolymph cells do not differ significantly, cells of the digestive gland are much more suitable to estimate genotoxicity. Variance analysis decomposed the effect of different factors on the SRD values. This unique combination has provided not only the relative importance of factors, but also an overall evaluation: the best evaluation method, the best data pre-treatment, etc., were chosen even for partially contradictory data. The rank transformation is superior to any other way of scaling, which is proven by ordering the SRD values by SRD again, and by cross validation.

A multilevel model for hierarchical, repeated, and overdispersed time-to-event outcomes and its estimation strategies.

The aim of this article is to propose a multilevel combined model for repeated, hierarchical, and overdispersed time-to-event outcomes, extending the so-called combined model proposed by Molenberghs et al. (2010), and using three different estimation strategies: full likelihood, pseudo-likelihood, and Bayesian estimation. For the first two estimation methods, we implemented the alternating imputation posterior (AIP) algorithm (Clayton and Rasbash, 1999). It is shown that the multilevel combined model can be fitted nicely using all three estimation methods. In addition, the multilevel combined model has the advantage that it not only can capture the hierarchical structure of the data but also can accommodate overdispersion within the data set. From our simulation results, it follows that the multilevel combined model performs well in terms of point estimation and its precision, fitted with the three different estimation methods. We also observed that pairwise likelihood estimation, a particular form of pseudo-likelihood, is more time-intensive than full likelihood and Bayesian estimation. However, pseudo-likelihood estimation is less sensitive to starting values.

A Bayesian, generalized frailty model for comet assays.

This paper proposes a flexible modeling approach for so-called comet assay data regularly encountered in preclinical research. While such data consist of non-Gaussian outcomes in a multilevel hierarchical structure, traditional analyses typically completely or partly ignore this hierarchical nature by summarizing measurements within a cluster. Non-Gaussian outcomes are often modeled using exponential family models. This is true not only for binary and count data, but also for, example, time-to-event outcomes. Two important reasons for extending this family are for (1) the possible occurrence of overdispersion, meaning that the variability in the data may not be adequately described by the models, which often exhibit a prescribed mean-variance link, and (2) the accommodation of a hierarchical structure in the data, owing to clustering in the data. The first issue is dealt with through so-called overdispersion models. Clustering is often accommodated through the inclusion of random subject-specific effects. Though not always, one conventionally assumes such random effects to be normally distributed. In the case of time-to-event data, one encounters, for example, the gamma frailty model (Duchateau and Janssen, 2007 ). While both of these issues may occur simultaneously, models combining both are uncommon. Molenberghs et al. ( 2010 ) proposed a broad class of generalized linear models accommodating overdispersion and clustering through two separate sets of random effects. Here, we use this method to model data from a comet assay with a three-level hierarchical structure. Although a conjugate gamma random effect is used for the overdispersion random effect, both gamma and normal random effects are considered for the hierarchical random effect. Apart from model formulation, we place emphasis on Bayesian estimation. Our proposed method has an upper hand over the traditional analysis in that it (1) uses the appropriate distribution stipulated in the literature; (2) deals with the complete hierarchical nature; and (3) uses all information instead of summary measures. The fit of the model to the comet assay is compared against the background of more conventional model fits. Results indicate the toxicity of 1,2-dimethylhydrazine dihydrochloride at different dose levels (low, medium, and high).

Recommendations on the statistical analysis of the Comet assay.

In 2010, the Statisticians in the Pharmaceutical Industry (PSI) Toxicology Special Interest Group met to discuss the design and analysis of the Comet assay. The Comet assay is one potential component of the package of safety studies required by regulatory bodies. As these studies usually involve a three-way nested experimental design and as the distribution of the measured response is usually either lognormal or lognormal plus a point mass at zero, the analysis is not straightforward. This has led to many different types of analysis being proposed in the literature, with several different methods applied within the pharmaceutical industry itself. This article summarises the PSI Toxicology Group's discussions and recommendations around these issues.

Validation of a fully automated COMET assay: 1.75 million single cells measured over a 5 year period.

The COMET assay is recognized as a rapid and sensitive method in quantifying radiation induced DNA damage. We investigated the distorting influence of endogenous, assay-inherent factors onto base (single cell level) and primary outcome measures (experimental/slide level), such as olive tail moment (OTM) and percentage DNA in the tail (%tail-DNA). From 2003 to 2008, we performed the assay on lymphocytes isolated from the blood samples of 355 lung cancer patients, 170 controls, and 610 relatives, as well as one single reference individual, repeated 170 times. In total, the data from 10,016 single experiments containing around 1,750,000 cells have been included in this study. This is the first time that the endogenous variability of the COMET assay has been validated systematically on such a huge data set over a 5 year period. Assuming that the reference sample reflects assay specific white noise, we estimated a proportion of 7-95% of the variability of the outcome measures due to assay variation (white noise) depending on parameter, exposure level, and study group. The proportion of white noise was largest for the initial radiation damage. The specific endogenous factors considered attribute to 14.8% of the total variability in the primary outcome measurements of the OTM and 6.9% of the %tail-DNA. OTM turns out to be a sensitive parameter to detect variation, but is also more susceptible to disturbance caused by endogenous factors than %tail-DNA. To reduce the experimental variability in COMET assays, we recommend a highly standardized operation protocol as well as inspecting and/or adjusting the primary outcome measures according to endogenous factors before calculating secondary outcome measures, e.g. DNA repair capacity (DRC) or testing statistical inference. A human reference (HR) sample is also useful to inspect homogeneity in the temporal progression of long lasting investigations, but not for calibrating primary outcome measurements.

A hierarchical zero-inflated log-normal model for skewed responses.

Although considerable attention has been given to zero-inflated count data, research on zero-inflated lognormal data is limited. In this article, we consider a study to examine human sperm cell DNA damage obtained from single-cell electrophoresis (COMET assay) experiment in which the outcome measures present a typical example of log-normal data with excess zeros. The problem is further complicated by the fact that each study subject has multiple outcomes at each of up to three visits separated by six-week intervals. Previous methods for zero-inflated log-normal data are based on either simple experimental designs, where comparison of means of zero-inflated log-normal data across different experiment groups is of primary interest, or longitudinal measurements, where only one observation is available for each subject at each visit. Their methods cannot be applied when multiple observations per visit are possible and both inter- and intra-subject variations are present. Our zero-inflated model extends the previous methods by incorporating a hierarchical structure using latent random variables to take into account both inter- and intra-subject variations in zero-inflated log-normal data. An EM algorithm has been developed to obtain the Maximum likelihood estimates of the parameters and their standard errors can be estimated by parametric bootstrap. The model is illustrated using the COMET assay data.

[The comet assay application in radiobiological investigations].

The analysis of the literature data on application of the gel electrophoresis of individual cells ("comet assay") in radiobiological investigations was carried out. The descriptions of various variants of the method are presented; its alkaline version is in more detail considered. The works concerning to induction and DNA damage repair of single stranded and double stranded DNA breaks, DNA alkali labile sites, crosslinks, DNA bases damage, cellular radiosensitivity and revealing of apoptotic cells were analyzed. The application of the method at biomonitoring of DNA damage level in cells of the person and the animals exposed to genotoxic agents, including ionizing radiation is described. The analysis of the literary data testifies to perceptivity of development and further uses of this method in radiobiological researches.

Answer to comments by A. Lerchl on "Radiofrequency electromagnetic fields (UMTS, 1,950 MHz) induce genotoxic effects in vitro in human fibroblasts but not in lymphocytes" published by C. Schwarz et al. 2008.

Genotoxic effects induced in vitro by the third generation mobile communication standard UMTS have recently been described by Schwarz et al. (Int Arch Occup Environ Health 81:755-767, 2008). These findings which may have considerable significance for environmental health have been commented upon by Lerchl (Int Arch Occup Environ Health in press, 2008) (this issue). These comments which are invalid in part have to be set right. Although some of his minor points are correct the objected inconsistencies are largely based on the author's incomplete and superficial consideration of published data in the field. Moreover, the statistical points being made cannot cast doubts on the validity of the experimental data reported by Schwarz et al. and may not change the principal conclusion of in vitro genotoxic action of UMTS signals.

The Comet assay for the evaluation of genotoxic impact in aquatic environments.

This review considers the potential of the Comet assay (or Single Cell Gel Electrophoresis, SCGE) to evaluate the environmental impact of genotoxins in aquatic environments. It focuses on in vivo and in situ studies that have been carried out in various marine and freshwater sentinel species, published in the last 5 years. A large number of the studies reviewed report that the Comet assay is more sensitive when compared with other biomarkers commonly used in genetic ecotoxicology, such as sister chromatid exchanges or micronucleus test. Due to its high sensitivity, the Comet assay is widely influenced by laboratory procedures suggesting that standard protocols are required for both fish and mussel cells. However, there are still a wide variety of personalised Comet procedures evident in the literature reviewed, making comparison between published results often very difficult. Standardization and inter-laboratory calibration of the Comet assay as applied to aquatic species will be required if the Comet assay is to be used routinely by national bodies charged with monitoring water quality.

The clinical utility of sperm DNA integrity testing.

Sperm DNA damage is more common in infertile men and may contribute to poor reproductive performance. However, current methods for evaluating sperm DNA integrity do not reliably predict treatment outcomes, and no treatment for abnormal DNA integrity has proven clinical value.

Ecotoxicological applications and significance of the comet assay.

Application of the single-cell gel electrophoresis or comet assay has revolutionized the field of genetic ecotoxicology or eco-genotoxicology. It is a rapid, sensitive and relatively inexpensive method providing the opportunity to study DNA damage (including oxidative damage), repair and cell death (apoptosis) in different cell types without prior knowledge of karyotype and cell turnover rate. The assay has, however, often attracted criticism for its lack of ecotoxicological relevance. In addition, in contrast to genetic toxicology where rapid technical progress has been made to improve cell- and tissue-specific adoption of the assay, only limited advancement has been made to transfer the methodologies to ecotoxicological studies. While reviewing the recent information available in the literature and underscoring the importance of induced genetic damage in natural species, the aims of this article are to (i) highlight and judiciously analyse the ecotoxicological relevance of the assay; (ii) attempt to correlate the comet response with other relevant biological responses or biomarkers; (iii) identify the technical challenges and various factors affecting its application in order to make it reliable, reproducible and robust; (iv) critically compare the technical developments in genetic toxicology and genetic ecotoxicology and (v) evaluate the future developments with respect to applications of the assay. It is suggested that while complementing other ecotoxicological parameters and further improving the methodologies, the comet assay will continue to play an important role in genetic ecotoxicology to determine induced genetic damage, which has significant consequences for short- and long-term survival of the natural or wild species. Information obtained through integrated studies using simultaneous applications of multiple biomarkers on different wild organisms could also provide an holistic dimension of toxicological impact of environmental contaminants for the protection of human health.