Metabolomics as read-across tool: An example with 3-aminopropanol and 2-aminoethanol

Sperber, Saskia; Wahl, Markus; Berger, Franz; Kamp, Hennicke; Lemke, O.; Starck, Veronique; Walk, T.; Spitzer, Michael; Ravenzwaay, Bennard van

doi:10.1016/j.yrtph.2019.104442

Cited by 33 publications

(34 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Similarly, Yue and collaborators [67] exposed human hepatoma cells to BPA and its analogues for 48 h and observed disturbances to several amino acids and energy-related metabolites that are linked to the aminoacyl-tRNA pathway. As such, it appears that all bisphenols lead to a chemical-class type metabolic response in D. magna as well as other environmentally relevant organisms [47,68].…”

Section: Discussionmentioning

confidence: 99%

Metabolomics Reveals That Bisphenol Pollutants Impair Protein Synthesis-Related Pathways in Daphnia magna

et al. 2021

View full text Add to dashboard Cite

Bisphenols are used in the production of polycarbonate plastics and epoxy resins. Bisphenol A (BPA) has been widely studied and is believed to act as an endocrine disruptor. Bisphenol F (BPF) and bisphenol S (BPS) have increasingly been employed as replacements for BPA, although previous studies suggested that they yield similar physiological responses to several organisms. Daphnia magna is a common model organism for ecotoxicology and was exposed to sub-lethal concentrations of BPA, BPF, and BPS to investigate disruption to metabolic profiles. Targeted metabolite analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to measure polar metabolites extracted from D. magna, which are linked to a range of biochemical pathways. Multivariate analyses and individual metabolite changes showed similar non-monotonic concentration responses for all three bisphenols (BPA, BPF, and BPS). Pathway analyses indicated the perturbation of similar and distinct pathways, mostly associated with protein synthesis, amino acid metabolism, and energy metabolism. Overall, we observed responses that can be linked to a chemical class (bisphenols) as well as distinct responses that can be related to each individual bisphenol type (A, F, and S). These findings further demonstrate the need for using metabolomic analyses in exposure assessment, especially for chemicals within the same class which may disrupt the biochemistry uniquely at the molecular-level.

show abstract

Section: Discussionmentioning

confidence: 99%

Metabolomics Reveals That Bisphenol Pollutants Impair Protein Synthesis-Related Pathways in Daphnia magna

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In another study, the same authors studied the metabolomics alterations after exposure to 2-aminopropanol (a wellknown chemical product with anti-cholinergic effects) and 3-aminopropanol (an analogue chemical but with data gaps to fulfil REACH requirements). 108 The metabolomics approach unveiled similar metabolic patterns upon exposure to both compounds. Indeed, these metabolic alterations added an extra level of reliability to the study by proving the mechanistic similarity of both the new and the model substances using a read-across approach.…”

Section: Chemical Grouping and Read-acrossmentioning

confidence: 99%

“…Indeed, these metabolic alterations added an extra level of reliability to the study by proving the mechanistic similarity of both the new and the model substances using a read-across approach. 108…”

Section: Chemical Grouping and Read-acrossmentioning

confidence: 99%

Approaches in metabolomics for regulatory toxicology applications

Olesti

González‐Ruiz

Wilks

et al. 2021

Analyst

View full text Add to dashboard Cite

show abstract

“…Like QSAR models, read-across can benefit from taking biological data into account rather than relying solely on structural similarities to functionally support a read-across case. In general, read-across approaches are not accepted as weight-ofevidence by, for example, the European Chemicals Agency (ECHA) due to their inherent uncertainty; however, metabolomics data provide sufficient confidence regarding mechanistic similarity to support toxicity assessment applying read-across approaches and to fulfil data gaps on non-experimentally evaluated toxicity endpoints [127,129]. As a first proof of concept, Ravenzwaay et al applied a read-across approach using metabolomics data to assess the toxicity of MCPP and selecting 2,4-DP as the best source substance (based on metabolic profiling similarities and compared to MCPA) [127].…”

Section: In Silico Approaches Applying Metabolomicsmentioning

confidence: 99%

Metabolomics in chemical risk analysis – A review

Hernández‐Mesa

Bizec

2021

Analytica Chimica Acta

View full text Add to dashboard Cite

Food safety has become a major issue worldwide and, in particular, detecting the presence of toxins, contaminants or residues of chemical substances along the food chain and in fine in foods constitutes a strong consumers demand. In general, all these substances and the corresponding metabolites of interest are analyzed using efficient targeted methodologies. However, in some cases these targeted approaches do not allow the detection of emerging compounds or practices, and therefore new approaches and strategies are required. Thus, the study of physiological perturbations induced by exposure to a given chemical substance has emerged as an interesting alternative approach to apply in chemical food safety.This review focuses on describing significant applications of metabolomics in the field of risk analysis from a chemical food safety perspective. The different risk assessment steps, including hazard identification, doseresponse assessment and exposure assessment, and risk management are addressed through various examples to illustrate that such an approach is fit-for-purpose and meets the expectations and requirements of chemical risk analysis. It can be considered as an innovative tool for predicting the probable occurrence and nature of risks, while addressing the current challenges of chemical risk analysis (e.g. replacement, reduction and refinement (3R) of animal testing, effects of exposure to chemical mixtures at low doses, etc.), and with the aim of responding to global food safety issues and anticipating human health problems.

show abstract

Metabolomics as read-across tool: An example with 3-aminopropanol and 2-aminoethanol

Cited by 33 publications

References 30 publications

Metabolomics Reveals That Bisphenol Pollutants Impair Protein Synthesis-Related Pathways in Daphnia magna

Metabolomics Reveals That Bisphenol Pollutants Impair Protein Synthesis-Related Pathways in Daphnia magna

Approaches in metabolomics for regulatory toxicology applications

Metabolomics in chemical risk analysis – A review

Contact Info

Product

Resources

About