W. Mellert

Metabolomics: A tool for early detection of toxicological effects and an opportunity for biology based grouping of chemicals—From QSAR to QBAR

BASF has developed a Metabolomics database (MetaMap(®) Tox) containing approximately 500 data rich chemicals, agrochemicals and drugs. This metabolome-database has been built based upon 28-day studies in rats (adapted to OECD 407 guideline) with blood sampling and metabolic profiling after 7, 14 and 28 days of test substance treatment. Numerous metabolome patterns have been established for different toxicological targets (liver, kidney, thyroid, testes, blood, nervous system and endocrine system) which are specific for different toxicological modes of action. With these patterns early detection of toxicological effects and the underlying mechanism can now be obtained from routine studies. Early recognition of toxicological mode of action will help to develop new compounds with a more favourable toxicological profile and will also help to reduce the number of animal studies necessary to do so. Thus this technology contributes to animal welfare by means of reduction through refinement (2R), but also has potential as a replacement method by analyzing samples from in vitro studies. With respect to the REACH legislation for which a large number of animal studies will need to be performed, one of the most promising methods to reduce the number of animal experiments is grouping of chemicals and read-across to those which are data rich. So far mostly chemical similarity or QSAR models are driving the selection process of chemical grouping. However, omics technologies such as metabolomics may help to optimize the chemical grouping process by providing biologically based criteria for toxicological equivalence. From QSAR to QBAR (quantitative biological activity relationship).

Thirteen-week oral toxicity study of synthetic lycopene products in rats

Synthetic crystalline lycopene provides an alternative to extracts of naturally occurring lycopene for use in dietary supplements and functional foods. BASF Lycopene 10 CWD and Lyco Vit 10% formulated products each contain approximately 10% synthetic lycopene. These products were evaluated for toxicological and behavioral effects during a 13-week oral dosing study with male and female Wistar rats. Doses of 0, 500, 1500 and 3000 mg/kg body weight/day Lycopene CWD and 3000 mg/kg body weight /day Lyco Vit, as well as 3000 mg/kg body weight /day of the matrices used to formulate and stabilize each product, were administered by gavage to 10 rats/sex/day. A satellite group of five rats/sex received 0 or 3000 mg/kg body weight /day of each formulated product for an interim evaluation at 4 weeks of feeding. No statistically significant, dose-related effects on body weight, body weight gain, food consumption, hematology, urinalysis, clinical chemistry or ophthalmoscopic parameters were seen in any of the lycopene product or lycopene formulation matrix groups in comparison to the vehicle control group after 4 or 13 weeks of dosing. No deaths attributed to the test articles occurred during the study and the only clinical finding and at necropsy was the presence of red pigment in the feces and gastrointestinal tract that was associated with the red-pigmented test materials. No significant or dose-related abnormalities were found at necropsy or in microscopic evaluations of tissues collected at termination. Rats evaluated in home cages or in open field tests for behavioral and sensorimotor effects during the final week of the study showed no signs of treatment-related effects. The no-observed-adverse-effect level (NOAEL) for this study was concluded to be 3000 mg/kg body weight/day for both Lycopene CWD and Lyco Vit. The results of this study thus demonstrate the absence of any significant toxicological findings with Lycopene CWD and Lyco Vit products even at very high dose levels.

The individual and combined metabolite profiles (metabolomics) of dibutylphthalate and di(2-ethylhexyl)phthalate following a 28-day dietary exposure in rats.

Metabolite profiles (metabolomics) of plasma samples of Wistar rats dosed with di(2-ethylhexyl)phthalate (DEHP - 3000ppm) and dibutylphthalate (DBP - 150, 1000 and 7000ppm) were individually determined in 28 days dietary studies. In addition, profiles of combined exposure to 3000ppm DEHP and either 150, 1000 or 7000ppm DBP were determined. High dose levels induced more profound metabolite changes in males than in females for both compounds. At 150ppm DBP (NOEL for toxicity) there were very few (<false positives rate), inconsistent changes, demonstrating a metabolomic NOEL. A part of the total metabolite profile was consistent with a pattern of changes indicative of peroxisome proliferation, confirmed by increased cyanide-insensitive Palmitoyl-CoA oxidation. Simultaneous administration of 3000ppm DEHP and 150ppm DBP did not result in relevant changes when compared to the metabolite profile of 3000ppm DEHP alone. Co-administration of 1000ppm DBP induced marginal additional changes relative to the profile of 3000ppm DEHP alone. Simultaneous exposure to high dose levels of DEHP and DBP resulted in a profile that was significantly different compared to the individual compounds. A quantitative statistical analysis of the data revealed that the effect of combined treatment on the metabolites was less than additive.

Influence of strain and sex on the metabolic profile of rats in repeated dose toxicological studies.

The impact of the strain on the metabolite profile of plasma samples in rats dosed with 2500 ppm 2-methyl-4-chlorophenoxyacetic acid (MCPA acid) or 45 mg/kg bw/day 4-chloro-3-nitroaniline (4C3N) for 4 weeks was evaluated. Four different strains were used: two Wistar strains (Crl:WI(Han), Han:RCC:WIST(SPF)), one Sprague-Dawley (Crl:CD) and one Fisher strain (F-344/Crl). The metabolite profiles in the plasma were measured by LC-MS and GC-MS. The profound changes of the metabolite values induced by the MCPA acid treatment outweighed slight deviations caused by physiological variations between the different rat strains. The metabolome changes of the MCPA acid in all strains could be related to toxicological mode of action patterns (peroxisome proliferator, renal organic anionic transporter inhibition) with Crl:WI(Han) rats as reference strain. 4C3N administration led to extravascular hemolytic anemia with a small number of metabolome changes, which were strain dependent. The metabolome pattern associated with hemolytic anemia established with the reference strain (Crl:Wi(Han)) was not sufficiently similar in other strains. Thus, comparable metabolome profiles were obtained in different rat strains for a compound inducing profound metabolite changes. For a compound with a weak profile the results were more variable and appeared to be strain dependent.

Detection of hepatotoxicity potential with metabolite profiling (metabolomics) of rat plasma

While conventional parameters used to detect hepatotoxicity in drug safety assessment studies are generally informative, the need remains for parameters that can detect the potential for hepatotoxicity at lower doses and/or at earlier time points. Previous work has shown that metabolite profiling (metabonomics/metabolomics) can detect signals of potential hepatotoxicity in rats treated with doxorubicin at doses that do not elicit hepatotoxicity as monitored with conventional parameters. The current study extended this observation to the question of whether such signals could be detected in rats treated with compounds that can elicit hepatotoxicity in humans (i.e., drug-induced liver injury, DILI) but have not been reported to do so in rats. Nine compounds were selected on the basis of their known DILI potential, with six other compounds chosen as negative for DILI potential. A database of rat plasma metabolite profiles, MetaMap(®)Tox (developed by metanomics GmbH and BASF SE) was used for both metabolite profiles and mode of action (MoA) metabolite signatures for a number of known toxicities. Eight of the nine compounds with DILI potential elicited metabolite profiles that matched with MoA patterns of various rat liver toxicities, including cholestasis, oxidative stress, acetaminophen-type toxicity and peroxisome proliferation. By contrast, only one of the six non-DILI compounds showed a weak match with rat liver toxicity. These results suggest that metabolite profiling may indeed have promise to detect signals of hepatotoxicity in rats treated with compounds having DILI potential.

The Use of Metabolomics in Cancer Research

The use of metabolite profiling techniques (metabonomics or metabolomics) in toxicology is a relatively new branch of this science. Due to their unique biochemical properties, cancer cells should, in principle, be an ideal field of application for metabolite profiling. However, due to technical and study design limitations there are only a few reliably metabolite profiles for human tumors. This chapter provides examples for the recognition of metabolic changes in animals induced by exposure to (carcinogenic) chemicals. In two major projects (COMET and MetaMapTox), data bases have been developed which are sufficiently large to evaluate the full potential of metabolite profiling in toxicology and cancer research. In both projects blood and urine were used as matrices which can be easily obtained with minimally-invasive methods. Based on a high degree of standardization and a large-scale controlled data collection, consistent patterns of metabolite changes have been identified which are associated with different toxicological modes of action, some of which are known to enhance tumor development in rodents.

Application of in vivo metabolomics to preclinical/toxicological studies: case study on phenytoin-induced systemic toxicity

BASF and Metanomics have built-up the database MetaMap(®)-Tox containing rat plasma metabolome data for more than 500 reference compounds. Phenytoin was administered to five Wistar rats of both sexes at dietary dose levels of 600 and 2400 ppm over 28 days and metabolome analysis was performed on days 7, 14 and 28. Clinical pathology did not indicate clear evidence for liver toxicity, whereas liver histopathology revealed slight centrilobular hepatocellular hypertrophy. The metabolome analysis of phenytoin shows metabolome changes at both dose levels and the comparison with MetaMap-Tox indicated strong evidence for liver enzyme induction, as well as liver toxicity. Moreover, evidence for kidney and indirect thyroid effects were observed. This assessment was based on the metabolite changes induced, similarities to specific toxicity patterns and the whole metabolome correlation within MetaMap-Tox. As compared with the classical read-out, a more comprehensive picture of phenytoins effects is obtained from the metabolome analysis, demonstrating the added value of metabolome data in preclinical/ toxicological studies.

Mechanistic analysis of metabolomics patterns in rat plasma during administration of direct thyroid hormone synthesis inhibitors or compounds increasing thyroid hormone clearance

For identification of toxicological modes of action (MoAs) a database (MetaMap(®)Tox) was established containing plasma metabolome consisting of approximately 300 endogenous metabolites. Each five male and female Wistar rats per groups were treated with >500 reference compounds over a period of 28 days. More than 120 specific toxicity patterns of common metabolite changes associated with unique MoAs were established. To establish patterns predictive effects on the thyroid, animals have been treated with reference compounds directly acting on the thyroid hormone formation (such as methimazole, ethylenethiourea) as well as liver enzyme inducers leading to an increased excretion of thyroid hormones and therewith to a secondary response of the thyroid (such as aroclor 1254 and boscalid). Here we present the plasma metabolite changes which form the patterns for direct and indirect effects on the thyroid. It is possible to identify metabolites which are commonly regulated irrespective of an indirect or direct effect on the thyroid as well as groups of metabolites separating both MoAs. By putting the metabolite regulations in the context of affected pathways helps to identify thyroid hormone inhibiting MoAs even when the hormone levels are not consistently changed. E.g., direct thyroid hormone synthesis inhibitors affect some enzymes in the urea cycle, increase the ω-oxidation of fatty acids and decrease glutamate and oxoproline levels, whereas indirect thyroid hormone inhibiting compounds interact with the lipid mediated and liver metabolism.

Increased toxicity when fibrates and statins are administered in combination – A metabolomics approach with rats

Combination therapies with fibrates and statins are used to treat cardiovascular diseases, because of their synergistic effect on lowering plasma lipids. However, fatal side-effects like rhabdomyolysis followed by acute renal necrosis sometimes occur. To elucidate biochemical changes resulting from the interaction of fibrates and statins, doses of 100 mg/kg fenofibrate, 50mg/kg clofibrate, 70 mg/kg atorvastatin and 200 mg/kg pravastatin as well as combinations thereof were administered to Crl:Wi(Han) rats for 4 weeks. Plasma metabolome profile was measured on study days 7, 14 and 28. Upon study termination, clinical pathology parameters were measured. In a separate experiment plasmakinetic data were measured in male rats after 1 week of drug administration in monotherapy as well as in combinations. Lowering of blood lipid levels as well as toxicological effects, like liver cell degradation (statins) and anemia (fibrates) and distinct blood metabolite level alterations were observed in monotherapy. When fibrates and statins were co-administered metabolite profile interactions were generally underadditive or at the utmost additive according to the linear mixed effect model. However, more metabolite levels were significantly altered during combination therapy. New effects on the antioxidant status and the cardiovascular system were found which may be related to a development of rhabdomyolysis. Accumulation of drugs during the combination therapy was not observed.

The sensitivity of metabolomics versus classical regulatory toxicology from a NOAEL perspective

The identification of the no observed adverse effect level (NOAEL) is the key regulatory outcome of toxicity studies. With the introduction of omics technologies into toxicological research, the question arises as to how sensitive these technologies are relative to classical regulatory toxicity parameters. BASF SE and metanomics developed the in vivo metabolome database MetaMap®Tox containing metabolome data for more than 500 reference compounds. For several years metabolome analysis has been routinely performed in regulatory toxicity studies (REACH mandated testing or new compound development), mostly in the context of 28 day studies in rats (OECD 407 guideline). For those chemicals for which a toxicological NOAEL level was obtained at either high or mid-dose level, we evaluated the associated metabolome to investigate the sensitivity of metabolomics versus classical toxicology with respect to the NOAEL. For the definition of a metabolomics NOAEL the ECETOC criteria (ECETOC, 2007) were used. In this context we evaluated 104 cases. Comparable sensitivity was noted in 75% of the cases, increased sensitivity of metabolomics in 8%, and decreased sensitivity in 18% of the cases. In conclusion, these data suggest that metabolomics profiling has a similar sensitivity to the classical toxicological study (e.g. OECD 407) design.