Calculating qualified non-mutagenic impurity levels: Harmonization of approaches.

The presence of impurities in drugs is unavoidable. As impurities offer no direct benefit to the patient, it is critical that impurities do not compromise patient safety. Current guidelines on the derivation of acceptable impurity levels leave aspects of calculations open for interpretation, resulting in inconsistencies across industry and regulators. To understand current impurity qualification practices from a safety standpoint, regulatory expectations and the safety risk that impurities pose, the IQ DruSafe Impurities Working Group (WG) conducted a pharmaceutical industry-wide survey. Survey results highlighted areas that could benefit from harmonization, including nonclinical species/sex selection and the application of adjustment factors (i.e., body surface area). Recommendations for alignment on these topics is included in this publication. Additionally, the WG collated repeat-dose toxicity information for 181 starting materials and intermediates, reflective of pharmaceutical impurities, to understand the toxicological risks they generally pose in relation to the drug substance (DS) and the assumptions surrounding the calculation of qualified impurity levels. An evaluation of this dataset and the survey were used to harmonize how to calculate a safe limit for an impurity based on toxicology testing of the impurity when present within the DS.

Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analyses.

The International Council for Harmonization (ICH) M7 guideline describes a hazard assessment process for impurities that have the potential to be present in a drug substance or drug product. In the absence of adequate experimental bacterial mutagenicity data, (Q)SAR analysis may be used as a test to predict impurities' DNA reactive (mutagenic) potential. However, in certain situations, (Q)SAR software is unable to generate a positive or negative prediction either because of conflicting information or because the impurity is outside the applicability domain of the model. Such results present challenges in generating an overall mutagenicity prediction and highlight the importance of performing a thorough expert review. The following paper reviews pharmaceutical and regulatory experiences handling such situations. The paper also presents an analysis of proprietary data to help understand the likelihood of misclassifying a mutagenic impurity as non-mutagenic based on different combinations of (Q)SAR results. This information may be taken into consideration when supporting the (Q)SAR results with an expert review, especially when out-of-domain results are generated during a (Q)SAR evaluation.

Principles and procedures for implementation of ICH M7 recommended (Q)SAR analyses.

The ICH M7 guideline describes a consistent approach to identify, categorize, and control DNA reactive, mutagenic, impurities in pharmaceutical products to limit the potential carcinogenic risk related to such impurities. This paper outlines a series of principles and procedures to consider when generating (Q)SAR assessments aligned with the ICH M7 guideline to be included in a regulatory submission. In the absence of adequate experimental data, the results from two complementary (Q)SAR methodologies may be combined to support an initial hazard classification. This may be followed by an assessment of additional information that serves as the basis for an expert review to support or refute the predictions. This paper elucidates scenarios where additional expert knowledge may be beneficial, what such an expert review may contain, and how the results and accompanying considerations may be documented. Furthermore, the use of these principles and procedures to yield a consistent and robust (Q)SAR-based argument to support impurity qualification for regulatory purposes is described in this manuscript.

(Q)SAR assessments of potentially mutagenic impurities: a regulatory perspective on the utility of expert knowledge and data submission.

(Quantitative) structure activity relationship [(Q)SAR] modeling is the primary tool used to evaluate the mutagenic potential associated with drug impurities. General recommendations regarding the use of (Q)SAR in regulatory decision making have recently been provided in the ICH M7 guideline. Although (Q)SAR alone is capable of achieving reasonable sensitivity and specificity, reliance on a simple positive or negative prediction can be problematic. The key to improving (Q)SAR performance is to integrate supporting information, also referred to as expert knowledge, into the final conclusion. In the regulatory context, expert knowledge is intended to (1) maximize confidence in a (Q)SAR prediction, (2) provide rationale to supersede a positive or negative (Q)SAR prediction, or (3) provide a basis for assessing mutagenicity in absence of a (Q)SAR prediction. Expert knowledge is subjective and is associated with great variability in regards to content and quality. However, it is still a critical component of impurity evaluations and its utility is acknowledged in the ICH M7 guideline. The current paper discusses the use of expert knowledge to support regulatory decision making, describes case studies, and provides recommendations for reporting data from (Q)SAR evaluations.

(Q)SAR: A Tool for the Toxicologist.

A continuing education (CE) course at the 2014 American College of Toxicology annual meeting covered the topic of (Quantitative) Structure-Activity Relationships [(Q)SAR]. The (Q)SAR methodologies use predictive computer modeling based on predefined rules to describe the relationship between chemical structure and a chemical's associated biological activity or statistical tools to find correlations between biologic activity and the molecular structure or properties of a compound. The (Q)SAR has applications in risk assessment, drug discovery, and regulatory decision making. Pressure within industry to reduce the cost of drug development and societal pressure for government regulatory agencies to produce more accurate and timely risk assessment of drugs and chemicals have necessitated the use of (Q)SAR. Producing a high-quality (Q)SAR model depends on many factors including the choice of statistical methods and descriptors, but first and foremost the quality of the data input into the model. Understanding how a (Q)SAR model is developed and applied is critical to the successful use of such a tool. The CE session covered the basic principles of (Q)SAR, practical applications of these computational models in toxicology, how regulatory agencies use and interpret (Q)SAR models, and potential pitfalls of using them.

Timing of carcinogenicity studies and predictability of genotoxicity for tumorigenicity in anti-HIV drug development.

The timing of carcinogenicity studies in parallel with the clinical development of anti-human immunodeficiency virus (HIV) drugs has been flexible for most cases in the past. This includes postponement of the initiation of the studies and submission of final audited reports to the US Food and Drug Administration (FDA) for a new drug application (NDA) approval. We address this regulatory practice for anti-HIV drugs for which, in the past, there had been no effective treatment. We also examine the correlation of genotoxicity data with carcinogenicity data for the varied subclasses of anti-HIV drugs. We suggest that this regulatory policy regarding the timing of carcinogenicity testing does not compromise the safety standards of FDA's drug evaluation and the approval process. The policy does facilitate availability of these agents to meet the medical needs of the target population. Our analysis on the profile of carcinogenicity findings of anti-HIV drugs shows trends of class effects. Additionally, both carcinogenicity and genotoxicity data show significant correlations, which provide useful insights into issues involving these 2 important areas of toxicological investigations.

Safety assessment of drug metabolites: implications of regulatory guidance and potential application of genetically engineered mouse models that express human P450s.

Species differences in drug metabolism present two challenges that may confound the nonclinical safety assessment of candidate drugs. The first challenge is encountered when metabolites are formed uniquely or disproportionately in humans. Another challenge is understanding the human relevance of toxicities associated with metabolites formed uniquely or disproportionately in a nonclinical species. One potential approach to minimize the impact of metabolite related challenges is to consider genetically engineered mouse models that express human P450 enzymes. Human P450 expressing mouse models may have the ability to generate major human metabolites and eliminate or reduce the formation of mouse specific metabolites. Prior to determining the utility of any particular model, it is important to qualify by characterizing protein expression, establishing whether the model generates an in vivo metabolite profile more closely related to that of humans than the wild-type mouse, verifying genetic stability, and evaluating animal health. When compared to the current strategy for handling metabolite challenges (i.e., direct administration of metabolite), identifying an appropriate human P450 expressing model could provide a number of benefits. Such benefits include improved scientific relevance of the evaluation, decreased resource needs, and a possible reduction in the number of animals used. These benefits may ultimately improve the quality and speed by which promising new drug candidates are developed and delivered to patients.

Genotoxicity of 1,3-butadiene and its epoxy intermediates.

Current risk assessments of 1,3-butadiene (BD*) are complicated by limited evidence of its carcinogenicity in humans. Hence, there is a critical need to identify early events and factors that account for the heightened sensitivity of mice to BD-induced carcinogenesis and to deter-mine which animal model, mouse or rat, is the more useful surrogate of potency for predicting health effects in BD-exposed humans. HEI sponsored an earlier investigation of mutagenic responses in mice and rats exposed to BD, or to the racemic mixture of 1,2-epoxy-3-butene (BDO) or of 1,2,3,4-diepoxybutane (BDO2; Walker and Meng 2000). In that study, our research team demonstrated (1) that the frequency of mutations in the hypoxanthine-guanine phosphoribosyl transferase (Hprt) gene of splenic T cells from BD-exposed mice and rats could be correlated with the species-related differences in cancer susceptibility; (2) that mutagenic-potency and mutagenic-specificity data from mice and rats exposed to BD or its individual epoxy intermediates could provide useful information about the BD metabolites responsible for mutations in each species; and (3) that our novel approach to measuring the mutagenic potency of a given chemical exposure as the change in Hprt mutant frequencies (Mfs) over time was valuable for estimating species-specific differences in mutagenic responses to BD exposure and for predicting the effect of BD metabolites in each species. To gain additional mode-of-action information that can be used to inform studies of human responses to BD exposure, experiments in the current investigation tested a new set of five hypotheses about species-specific patterns in the mutagenic effects in rodents of exposure to BD and BD metabolites: 1. Repeated BD exposures at low levels that approach the occupational exposure limit for BD workers (set by the U.S. Occupational Safety and Health Administration) are mutagenic in female mice. 2. The differences in mutagenic responses of the Hprt gene to BD in similarly exposed rodents of a given species (reported in various earlier studies) are primarily associated with age-related thymus activity and trafficking of T cells and with sex-related differences in BD metabolism. 3. The mutagenic potency of the stereochemical forms of BD's epoxy intermediates plays a significant role in the species-related mutagenicity of BD. 4. The hydrolysis-detoxification pathway of BD through 1,2-dihydroxy-3-butene (BD-diol) is a major contributor to mutagenicity at high-level BD exposures in mice and rats. 5. Significant and informative species-specific differences in mutation spectra can be identified by examining both large- and small-scale genetic alterations in the Hprt gene of BD-exposed mice and rats. The first four hypotheses were tested by exposing mice and rats to BD, meso-BDO2, or BD-diol and measuring Hprt Mfs as the primary biomarker. For this, we used the T-cell-cloning assay of lymphocytes isolated from the spleens of exposed and control (sham-exposed) mice and rats. The first hypothesis was tested by exposing female B6C3F1 mice (4 to 5 weeks of age) by inhalation for 2 weeks (6 hours/day, 5 days/week) to 0 or 3 ppm BD. Hprt Mfs were measured at the time of peak mutagenic response after exposure for this age of mice. We then compared the resulting data to those from mutagenicity studies with mice of the same age that had been exposed in a similar protocol to higher levels of BD (Walker and Meng 2000). In mice exposed to 3 ppm BD (n = 27), there was a significant 1.6-fold increase over the mean background Hprt Mf in control animals (n = 24, P = 0.004). Calculating the efficiency of Hprt mutant induction, by dividing induced Hprt Mfs by the respective BD exposure levels, demonstrated that the mutagenic potency of 3 ppm BD was twice that of 20 ppm BD and almost 20 times that of 625 or 1250 ppm BD in exposed female mice. Sample-size calculations based on the Hprt Mf data from this experiment demonstrated the feasibility of conducting a future experiment to find out whether induced Mfs at even lower exposure levels (between 0.1 and 1.0 ppm BD) fit the supralinear exposure-response curve found with exposures between 3.0 and 62.5 ppm BD, or whether they deviate from the curve as Mf values approach the background levels found in control animals. The second hypothesis was tested by estimating mutagenic potency for female mice exposed by inhalation for 2 weeks to 0 or 1250 ppm BD at 8 weeks of age and comparing this estimate to that reported for female mice exposed to BD in a similar protocol at 4 to 5 weeks of age (Walker and Meng 2000). For these two age groups, the shapes of the mutant splenic T-cell manifestation curves were different, but the mutagenic burden was statistically the same. These results support our contention that the disparity in responses reported in earlier Hprt-mutation studies of BD-exposed rodents is related more to age-related T-cell kinetics than to age-specific differences in the metabolism of BD. The third hypothesis was tested by estimating mutagenic potency for female mice and rats (4 to 5 weeks of age) exposed by inhalation to 2 or 4 ppm meso-BDO2 and comparing these estimates to those previously obtained for female mice and rats of the same age and exposed in a similar protocol to (+/-)-BDO2 (Meng et al. 1999b; Walker and Meng 2000). These exposures to stereospecific forms of BDO2 caused equivalent mutagenic effects in each species. This suggests that the small differences in the mutagenic potency of the individual stereoisomers of BDO2 appear to be of less consequence in characterizing the sources of BD-induced mutagenicity than the much larger differences between the mutagenic potencies of BDO2 and the other two BD epoxides (BDO and 1,2-dihydroxy-3,4-epoxybutane [BDO-diol]). The fourth hypothesis was tested in several experiments. First, female and male mice and rats (4 to 5 weeks of age) were exposed by nose only for 6 hours to 0, 62.5, 200, 625, or 1250 ppm BD or to 0, 6, 18, 24, or 36 ppm BD-diol primarily to establish BD and BD-diol exposure levels that would yield similar plasma concentrations of BD-diol. Second, animals were exposed in inhalation chambers for 4 weeks to 0, 6, 18, or 36 ppm BD-diol to determine the mutagenic potency estimates for these exposure levels and to compare these estimates with those reported for BD-exposed female mice and rats (Walker and Meng 2000) in which similar blood levels of BD-diol had been achieved. Measurements of plasma concentrations of BD-diol (via a gas chromatography and mass spectrometry [GC/MS] method developed for this purpose) showed these results: First, BD-diol accumulated in a sublinear manner during a single 6-hour exposure to more than 200 ppm BD. Second, BD-diol accumulated in a linear manner during single (6-hour) or repeated (4-week) exposure to 6 or 18 ppm BD and in a sublinear manner with increasing levels of BD-diol exposure. Third, exposure of female mice and rats to 18 ppm BD-diol produced plasma concentrations equivalent to those produced by exposure to 200 ppm BD (exposure to 36 ppm BD-diol produced plasma concentrations of about 25% of those produced by exposure to 625 ppm BD). In general, 4-week exposure to 18 or 36 ppm BD-diol was significantly mutagenic in female and male mice and rats. The differences in mutagenic responses between the species and sexes were not remarkable, except that the mutagenic effects were greatest in female mice. The substantial differences in the exposure-related accumulation of BD-diol in plasma after rodents were exposed to more than 200 ppm BD compared with the relatively small differences in the mutagenic responses to direct exposures to 6, 18, or 36 ppm BD-diol in female mice provided evidence that the contribution of BD-diol-derived metabolites to the overall mutagenicity of BD has a narrow range of effect that is confined to relatively high-level BD exposures in mice and rats. This conclusion was supported by the results of parallel analyses of adducts in mice and rats concurrently exposed to BD-diol (Powley et al. 2005b), which showed that the exposure-response curves for the formation of N-(2,3,4-trihydroxybutyl)valine (THB-Val) in hemoglobin, formation of N7-(2,3,4-trihydroxybutyl)guanine (THB-Gua) in DNA, and induction of Hprt mutations in exposed rodents were remarkably similar in shape (i.e., supralinear). Combined, these data suggest that trihydroxybutyl (THB) adducts are good quantitative indicators of BD-induced mutagenicity and that BD-diol-derived BDO-diol (the major source of the adducts) might be largely responsible for mutagenicity in rodents exposed to BD-diol or to hight levels of BD. The mutagenic-potency studies of meso-BDO2 and BD-diol reported here, combined with our earlier studies of BD, (+/-) BDO, and(+/-)-BDO2 (Walker and Meng 2000), revealed important trends in species-specific mutagenic responses that distinguish the relative degree to which the epoxy intermediates contribute to mutation induction in rodents at selected levels of BD exposures. These data as a whole suggest that , in mice, BDO2 largely causes mutations at exposures less than 62.5 ppm BD and that BD-diol-derived metabolites add to these mutagenic effects at higher BD exposures. In rats, it appears that the BD-diol pathway might account for nearly all the mutagenicity at the hight-level BD exposures where significant increases in Hprt Mfs are found and cancers are induced. Additional exposure-response studies of hemoglobin and DNA adducts specifics to BDO2, BDO-diol, and other reactive intermediates are needed to determine more definitively the relative contribution of each metabolite to the DNA alkylation and mutation patterns induced by BD exposure in mice and rats. For the fifth hypothesis, a multiplex polymerase chain reaction (PCR) procedure for the analysis of genomic DNA mutations in the Hprt gene of mice was developed. (ABSTRACT TRUNCATED)

The importance of 3,4-epoxy-1,2-butanediol and hydroxymethylvinyl ketone in 3-butene-1,2-diol associated mutagenicity.

1,2:3,4-Diepoxybutane is hypothesized to be the main intermediate involved in mutagenicity following exposure to low levels of 1,3-butadiene (BD) in mice, while metabolites of 3-butene-1,2-diol (BD-diol) are thought to become involved in both rats and mice at higher exposures. BD-diol is biotransformed to hydroxymethylvinyl ketone (HMVK), a potentially mutagenic metabolite, and 3,4-epoxy-1,2-butanediol (EB-diol), a known mutagen. To determine the relative importance of HMVK and EB-diol in BD-diol associated mutagenesis, we have examined the dosimetry of a HMVK derived DNA adduct, as well as EB-diol derived DNA and hemoglobin adducts, in rodents exposed to BD-diol. We previously demonstrated similarities in the shapes of the dose-response curves for EB-diol derived DNA adducts, hemoglobin adducts, and Hprt mutant frequencies in BD-diol exposed rodents, indicating that EB-diol was involved in the mutagenic response associated with BD-diol exposure. To examine the role of HMVK in BD-diol mutagenicity, a method to quantify the alpha-regioisomer of HMVK derived 1,N(2)-propanodeoxyguanosine (alpha-HMVK-dGuo) was developed. The method involved enzymatic hydrolysis of DNA, HPLC purification, and adduct measurement by liquid chromatography - tandem mass spectrometry. Intra- and inter-experimental variabilities were determined to be 2.3-18.2 and 4.1%, respectively. The limit of detection was approximately 5 fmol of analyte standard injected onto the column or 5 fmol/200 microg DNA. The method was used to analyze liver DNA from control female F344 rats and female F344 rats exposed to 36 ppm BD-diol. In addition, liver samples from female Sprague-Dawley rats exposed to 1000 ppm BD were analyzed. alpha-HMVK-dGuo was not detected in any of the samples analyzed. Several possible explanations exist for the negative results including the possibility that alpha-HMVK-dGuo may be a minor adduct or may be efficiently repaired. Alternatively, HMVK itself may be readily detoxified by glutathione (GSH) conjugation. While experiments must be conducted to understand the exact mechanism(s), these results, in addition to published EB-diol derived adduct dosimetry and existing HMVK derived mercapturic acid data, suggest that EB-diol is primarily responsible for BD-diol induced mutagenicity in rodents.

Third order cascaded Raman wavelength shifting in chalcogenide fibers and determination of Raman gain coefficient.

Cascaded Raman wavelength shifting up to three orders from 1553 nm to 1867 nm is demonstrated in As(2)S(3)-chalcogenide fibers. Due to a long zero dispersion wavelength for the sulfide fiber (>4.5 mum), pumping the fiber at 1553 nm results in generation of cascaded Stokes orders based on stimulated Raman scattering. Using the threshold power for the Raman orders, we estimate the Raman gain coefficient for the As(2)S(3) fibers to be ~5.7x10(-12) m/W at 1550 nm. Observation of higher Raman orders is limited by damage to the fiber at input intensities >1 GW/cm(2).

Benzene metabolism by the isolated perfused lung.

Benzene is an occupational hazard and environmental toxicant whose toxic effects are dependent on its metabolism by cytochrome P-450. Most physiologically based pharmacokinetic models assume that benzene is metabolized only in the liver. They may not be completely accurate in predicting metabolism, especially following inhalation exposure, if metabolism by the lung is important. In the current study, the metabolizing capability of the lung was examined in an in vivo simulation using the isolated perfused lung. Lungs from the rabbit, rat, and mouse were used to mimic benzene metabolism following exposure via the pulmonary vasculature. With the isolated perfused mouse lung, three concentrations (55 microM, 120 microM, and 200 microM) were used to evaluate concentration dependence. To evaluate the ability of the lung to metabolize inhaled benzene, the isolated perfused mouse lung was exposed to benzene (approximately 175 ppm) via the trachea. Benzene was metabolized in all species, with phenol being the major metabolite. Phenylsulfate was also detected in perfusate from rabbits and mice but at much lower levels. Benzene metabolism was concentration dependent in mice. The ability of the lung to metabolize benzene during inhalation exposure was demonstrated in the isolated perfused mouse lung. These results demonstrate that the lung can metabolize benzene in an in vivo simulation when exposed via the pulmonary vasculature or via inhalation.

1,N2-propanodeoxyguanosine adducts of the 1,3-butadiene metabolite, hydroxymethylvinyl ketone.

1,3-Butadiene (BD) is a rodent and human carcinogen. While several epoxides formed during BD metabolism are mutagenic and may contribute to BD carcinogenicity, another proposed metabolite, hydroxymethylvinyl ketone (HMVK), could also be involved. A significant quantity of HMVK is likely to be formed since it is a proposed intermediate in the metabolism of 3-butene-1,2-diol (BD-diol) to 1,2-dihydroxy-4-(N-acetylcysteinyl)butane, the major mercapturic acid metabolite of BD in humans. In addition, BD-diol is a major BD metabolite in liver perfusion experiments in rodents. By analogy with other alpha,beta-unsaturated carbonyls, HMVK is likely to be mutagenic via formation of promutagenic 1,N(2)-propanodeoxyguanosine adducts. The objective of the current study was to investigate the formation of such adducts in vitro. The reaction between HMVK and dGuo yielded two major products shown to be identical by positive ion electrospray-MS, having protonated molecular ions with m/z consistent with HMVK-derived 1,N(2)-propanodeoxyguanosine (HMVK-dGuo). Rechromatography of each fraction yielded two fractions with retention times identical to those initially isolated, suggesting equilibration between two diastereomers. Two partially resolved sets of (1)H NMR signals were consistent with a 1:1 mixture of diastereomeric C-6-substituted adducts equilibrating slowly on an NMR time-scale. Following deglycosylation, C-6 substitution was verified by two-dimensional correlation NMR spectroscopy, indicating that the initial adducts were formed by Michael addition of dGuo-N1 to the terminal vinyl carbon followed by cyclization to the 1,N(2)-propano structure. Reactions with calf thymus DNA under physiological conditions yielded two sets of products. The first set had HPLC retention times and mass spectra identical to those of the previously characterized C-6-substituted HMVK-dGuo diastereomers. The second set had a molecular ion and fragmentation pattern identical to the C-6-substituted adducts and on this basis were assigned as the diastereomeric C-8 adducts. In addition to detecting HMVK-dGuo in treated DNA, the adducts were also present in control DNA. Overall, our research demonstrates that HMVK can form promutagenic DNA adducts and it therefore has the potential to play a role in BD-associated mutagenicity.