Added value of plasma metabolomics to describe maternal effects in rat maternal and prenatal toxicity studies.

For regulatory purposes prenatal developmental toxicity (OECD No. 414) studies are routinely performed in our laboratories. The suitability of metabolomics as technology to identify maternal toxicity in such studies was investigated. Plasma was sampled from pregnant, non-fasted rats on gestation day 20 before cesarean section. Metabolite profiling was performed by gas- and liquid-chromatography-tandem mass spectrometry techniques. The sensitivity of routinely examined maternal toxicity parameters (OECD No. 414) was compared to those of metabolome analysis. Evaluating 44 studies, the metabolome-derived NOEL was more sensitive in 45% of the cases in detecting maternal toxicity than the maternal NOAEL. Metabolome patterns indicative for liver effects and 4-hydroxyphenylpyruvate dioxygenase (HPPD) enzyme-inhibition were established in pregnant rats based on regulated metabolites using reference compounds. The HPPD inhibition and liver toxicity patterns in pregnant rats were reasonably comparable to the ones established in non-pregnant, fasted rats. Metabolomics is a useful tool for an improved and mechanism-based identification of maternal toxicity in maternal and prenatal toxicity studies. The data suggest that the current classical maternal toxicity parameters may underestimate the extent of effects of compounds on the dams.

Gut microbiome-related metabolic changes in plasma of antibiotic-treated rats.

The intestinal microbiota contributes to the metabolism of its host. Adequate identification of the microbiota's impact on the host plasma metabolites is lacking. As antibiotics have a profound effect on the microbial composition and hence on the mammalian-microbiota co-metabolism, we studied the effects of antibiotics on the "functionality of the microbiome"-defined as the production of metabolites absorbed by the host. This metabolomics study presents insights into the mammalian-microbiome co-metabolism of endogenous metabolites. To identify plasma metabolites related to microbiome changes due to antibiotic treatment, we have applied broad-spectrum antibiotics belonging to the class of aminoglycosides (neomycin, gentamicin), fluoroquinolones (moxifloxacin, levofloxacin) and tetracyclines (doxycycline, tetracycline). These were administered orally for 28 days to male rats including blood sampling for metabolic profiling after 7, 14 and 28 days. Fluoroquinolones and tetracyclines can be absorbed from the gut; whereas, aminoglycosides are poorly absorbed. Hippuric acid, indole-3-acetic acid and glycerol were identified as key metabolites affected by antibiotic treatment, beside changes mainly concerning amino acids and carbohydrates. Inter alia, effects on indole-3-propionic acid were found to be unique for aminoglycosides, and on 3-indoxylsulfate for tetracyclines. For each class of antibiotics, specific metabolome patterns could be established in the MetaMap®Tox data base, which contains metabolome data for more than 550 reference compounds. The results suggest that plasma-based metabolic profiling (metabolomics) could be a suitable tool to investigate the effect of antibiotics on the functionality of the microbiome and to obtain insight into the mammalian-microbiome co-metabolism.

Metabolomics as read-across tool: A case study with phenoxy herbicides.

New technologies, such as metabolomics, can address chemical grouping and read across from a biological perspective. In a virtual case study, we selected MCPP as target substance and MCPA and 2,4-DP as source substances with the goal to waive a 90-day study with MCPP. In order to develop a convincing case to show how biological data can substantiate read across, we used metabolomics on blood samples from the 28-day studies to show the qualitative and quantitative similarity of the substances. The 28-day metabolome evaluation of source substances and the target substance indicate liver and kidneys as target organs. 2,4-DP was identified as the best source substance. Using the information of the 90-day 2,4-DP study, we predicted MCPP's toxicity profile at 2500 ppm: reduced food consumption and body weight gain, liver and kidney weight increases with clinical-pathology changes and a moderate red blood cell parameter reduction. NOEL prediction for MCPP was below that of 2,4-DP (<500 ppm), and similar to that of MCPA (≥150 ppm). Qualitatively, these predictions are comparable to the results of the real MCPP 90-day study in rats (reduced food consumption and body weight gain, weight increases and clinical-pathology changes in liver and kidneys, reduced red blood cells values). Quantitatively, the predicted NOAEL (150 ppm) is similar to the actual study (NOEL = 75 ppm, NOAEL ≤ 500 ppm). Thus, the 90-day rat toxicity study of MCPP could have been waived and substituted by the 90-day results of 2,4-DP by using metabolome data of 28 day studies.

Metabolite profiles of rats in repeated dose toxicological studies after oral and inhalative exposure.

The MetaMap(®)-Tox database contains plasma-metabolome and toxicity data of rats obtained from oral administration of 550 reference compounds following a standardized adapted OECD 407 protocol. Here, metabolic profiles for aniline (A), chloroform (CL), ethylbenzene (EB), 2-methoxyethanol (ME), N,N-dimethylformamide (DMF) and tetrahydrofurane (THF), dosed inhalatively for six hours/day, five days a week for 4 weeks were compared to oral dosing performed daily for 4 weeks. To investigate if the oral and inhalative metabolome would be comparable statistical analyses were performed. Best correlations for metabolome changes via both routes of exposure were observed for toxicants that induced profound metabolome changes. e.g. CL and ME. Liver and testes were correctly identified as target organs. In contrast, route of exposure dependent differences in metabolic profiles were noted for low profile strength e.g. female rats dosed inhalatively with A or THF. Taken together, the current investigations demonstrate that plasma metabolome changes are generally comparable for systemic effects after oral and inhalation exposure. Differences may result from kinetics and first pass effects. For compounds inducing only weak changes, the differences between both routes of exposure are visible in the metabolome.

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 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.

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.

Prediction of clinically relevant safety signals of nephrotoxicity through plasma metabolite profiling.

Addressing safety concerns such as drug-induced kidney injury (DIKI) early in the drug pharmaceutical development process ensures both patient safety and efficient clinical development. We describe a unique adjunct to standard safety assessment wherein the metabolite profile of treated animals is compared with the MetaMap Tox metabolomics database in order to predict the potential for a wide variety of adverse events, including DIKI. To examine this approach, a study of five compounds (phenytoin, cyclosporin A, doxorubicin, captopril, and lisinopril) was initiated by the Technology Evaluation Consortium under the auspices of the Drug Safety Executive Council (DSEC). The metabolite profiles for rats treated with these compounds matched established reference patterns in the MetaMap Tox metabolomics database indicative of each compound's well-described clinical toxicities. For example, the DIKI associated with cyclosporine A and doxorubicin was correctly predicted by metabolite profiling, while no evidence for DIKI was found for phenytoin, consistent with its clinical picture. In some cases the clinical toxicity (hepatotoxicity), not generally seen in animal studies, was detected with MetaMap Tox. Thus metabolite profiling coupled with the MetaMap Tox metabolomics database offers a unique and powerful approach for augmenting safety assessment and avoiding clinical adverse events such as DIKI.

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 phenytoin's effects is obtained from the metabolome analysis, demonstrating the added value of metabolome data in preclinical/ toxicological studies.

Reproducibility and robustness of metabolome analysis in rat plasma of 28-day repeated dose toxicity studies.

BASF has developed a rat plasma metabolomics database (MetaMap®Tox) containing the metabolome of more than 500 chemicals, agrochemicals and drugs, for which the toxicity is well known, derived from 28-day repeated dose toxicity studies in rats. The quality/reproducibility of data was assessed by comparing the metabolome of 16 reference compounds tested at least twice under identical experimental conditions at three time points (day 7, day 14 and day 28). Statistical correlation analysis showed that the repeated treatment induced very similar changes to the metabolome. For all repetitions the modes of action of the compounds were always correctly identified. Moreover, when compared against the metabolome of all compounds available in the MetaMap®Tox database, the repetitions showed in most cases the highest degree of overall similarity with the metabolome of the original study. In addition, we also evaluated the robustness of our metabolomics technique, displayed by constancy of variability in control groups over time. Based on these results, it can be concluded, that metabolomics can reproducibly be applied during toxicological in vivo testing in rats under the conditions applied here.

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.

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).

Nutritional impact on the plasma metabolome of rats.

Metabolite profiling (metabolomics) elucidates changes in biochemical pathways under various conditions, e.g., different nutrition scenarios or compound administration. BASF and metanomics have obtained plasma metabolic profiles of approximately 500 compounds (agrochemicals, chemicals and pharmaceuticals) from 28-day rat studies. With these profiles the establishment of a database (MetaMap(®)Tox) containing specific metabolic patterns associated with many toxicological modes of action was achieved. To evaluate confounding factors influencing metabolome patterns, the effect of fasting vs. non-fasting prior to blood sampling, the influence of high caloric diet and caloric restriction as well as the administration of corn oil and olive oil was studied for its influence on the metabolome. All mentioned treatments had distinct effects: triacylglycerol, phospholipids and their degradation product levels (fatty acids, glycerol, lysophosphatidylcholine) were often altered depending on the nutritional status. Also some amino acid and related compounds were changed. Some metabolites derived from food (e.g. alpha-tocopherol, ascorbic acid, beta-sitosterol, campesterol) were biomarkers related to food consumption, whereas others indicated a changed energy metabolism (e.g. hydroxybutyrate, pyruvate). Strikingly, there was a profound difference in the metabolite responses to diet restriction in male and female rats. Consequently, when evaluating the metabolic profile of a compound, the effect of nutritional status should be taken into account.

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 (

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.

Effects of an ultraviolet B radiation absorber on photocarcinogenesis in hairless albino mice.

Uvinul T 150, a UVB absorber, was administered (concentration 5%) in a vehicle to the skin of hairless albino mice before ultraviolet radiation (UVR) exposure for 5 days per week in a photocarcinogenicity study. Uvinul T 150 prolonged the latency period to 50% skin tumor incidence (controls: 21-22 weeks; Uvinul T 150: 36 weeks in males and 31 weeks in females). When Uvinul T 150 was applied in an alternating-exposure procedure (3 days/week before and 2 days/week after UVR), the inhibition of photocarcinogenesis was less marked (latency period 28-30 weeks). The vehicle formulation had no effect (latency period 20-21 weeks). The sensitivity of the test system was demonstrated by a positive control (8-methoxy-psoralene). Although UVB absorption was shown to inhibit photocarcinogenesis, the results also suggest that UVA radiation makes a contribution to skin tumor formation.

Iron deficiency causes duodenum mucosal hyperplasia in male Wistar rats.

Administration of an iron-deficient diet to Wistar rats resulted within 14 days in reduced serum iron concentrations, a microcytic hypochromic anemia, characteristic for impaired hemoglobin synthesis, and an increase of duodenal epithelial cell proliferation. After 5 weeks of iron deficiency, hypochromic microcytic anemia and a clear increase of duodenum weight but no pronounced effects on cell proliferation was observed. Increased duodenum weights corresponded to significant increases in mucosal area, indicating a diffuse, simple mucosal hyperplasia. The sequence of events following iron depletion thus appears to be: (1) reduced serum iron levels, (2) induction of hypochromic microcytic anemia, (3) increased duodenal epithelial cell proliferation, and (4) increased duodenal weight (increased mucosal area). Iron deficiency anemia was rapidly reversible after a 2-week recovery period. However, increased duodenum weights were still noted at that time. Intramuscular iron supplementation in animals fed with iron-deficient diet maintained body iron levels not below normal values, and neither anemia nor increased duodenum cell proliferation were detected after 14 days. A 5-week iron supplementation period resulted in slightly increased serum iron values, and slightly decreased duodenal epithelial cell proliferation. Thus, increased duodenum mucosal hyperplasia was shown to be secondary to depletion of body iron and anemia and reflects an attempt to increase iron absorption to counteract iron deficiency.

The use of metabolomics for the discovery of new biomarkers of effect.

Will metabolomics have a greater chance of success in toxicology and biomarker assessment than genomics and proteomics? Metabolomics has the advantage that (1) it analyses the last step in a series of changes following a toxic insult, (2) many of the metabolites have a known function and (3) changes are detectable in blood. If the analysis of a great number of individual organs can be replaced by one matrix then this will provide significant advantages (less invasive method, no need to kill animals, time course analysis possible). We have chosen to perform the analysis of blood metabolites in such a way as to minimize the risk of artifacts and to have a high number of known metabolites. We have also reduced the amount of variation in the biological system as well as during analysis. In a series of proof of concept studies it could be demonstrated that (1) the metabolome of control animals was stable of a period of nearly 1 year, with a remarkable differentiation between males and females, (2) a dose response relationship in metabolome changes was induced by phenobarbital and that (3) different modes of action could be distinguished by blood metabolome analysis. To investigate the potential of metabolomics to find biomarkers or specific patterns of change we have analyzed the blood metabolome of rats treated with HPPD inhibitors, a novel class of herbicides. The results demonstrated that a single metabolite, tyrosine, can be used as a biomarker. In addition to tyrosine we also found a specific pattern of change that involved nine metabolites. Though the extent of change was less than for tyrosine the consistent change of these metabolites is diagnostic for this (toxicological) mode of action.

Effects of styrene and its metabolites on different lung compartments of the mouse--cell proliferation and histomorphology.

Styrene is not carcinogenic in rats but has caused pneumotoxicity and increased lung tumors after inhalation in mice. This study investigated whether styrene-7,8-oxide, ring-oxidized, and side-chain hydroxylated styrene metabolites induce cell proliferation, apoptosis, pathological changes, and glutathione depletion in mice lungs. Intraperitoneal treatment with phenylacetaldehyde and phenylacetic acid (3 x 100 mg/kg b.w./day) increased the levels of apoptosis and cell proliferation in the alveoli without producing any effects in the terminal bronchioli, the target site of tumor formation in mice. Only styrene-oxide (SO) at 3 x 100 mg/kg b.w./day and 4-vinyl-phenol (4-VP) at 3 x 35 and 3 x 20 mg/kg b.w./day, respectively, caused up to 19-fold increases in cell proliferation in the large/medium bronchi and terminal bronchioles; marginal increases in alveolar cell proliferation were noted with SO (1.6-fold) but not with 4-VP. These compounds also caused glutathione depletion in the bronchiolar epithelium and histomorphological changes of the bronchiolar epithelium in large and medium bronchi and terminal bronchioles. Changes were characterized by flattened cells and a loss of the typical bulging of the "dome-shaped" Clara cells, suggesting that Clara cells were primary target cells. The specific reactions of mouse lung to SO and 4-VP could serve as a verifiable hypothesis for the different response of rats and mice with regard to tumor formation.

The comparative toxicology of 4-chloro-2-methylphenoxyacetic acid and its plant metabolite 4-chloro-2-carboxyphenoxyacetic acid in rats.

4-Chloro-2-carboxyphenoxyacetic acid (CCPA) residues have occasionally been observed in crops treated with 4-chloro-2-methylphenoxyacetic acid (MCPA). The oral toxicity of MCPA and CCPA was compared in a 4-week rat study at a dietary concentration of 2000 ppm. CCPA was also given at 12,000 ppm (equivalent to 1g/kg bodyweight/day). MCPA at 2000 ppm caused reduced food consumption and body weight gain and increased water consumption in females only. Changes in clinical chemistry confirmed the liver as a target organ. Increased serum creatinine and urobilinogen, degenerated transitional epithelial cells in the urine showed that the kidney was also affected. Response to CCPA was confined to the 12,000 ppm dose. The target organs were liver and kidney as for MCPA. Microscopic examination revealed an increased severity of basophilic tubules and calcification at the outer/inner medulla transition in the kidneys. The results demonstrate that CCPA is less toxic than MCPA, that CCPA has no different toxicological end points when compared to MCPA, and that any risks associated with consumption of CCPA will not be underestimated if the CCPA residue is treated as if it were parent MCPA. Based on the MCPA-CCPA comparison, criteria for read across and minimal information requirements are proposed.