Untargeted Metabolomics Reveals Molecular Effects of Ketogenic Diet on Healthy and Tumor Xenograft Mouse Models.

The application of ketogenic diet (KD) (high fat/low carbohydrate/adequate protein) as an auxiliary cancer therapy is a field of growing attention. KD provides sufficient energy supply for healthy cells, while possibly impairing energy production in highly glycolytic tumor cells. Moreover, KD regulates insulin and tumor related growth factors (like insulin growth factor-1, IGF-1). In order to provide molecular evidence for the proposed additional inhibition of tumor growth when combining chemotherapy with KD, we applied untargeted quantitative metabolome analysis on a spontaneous breast cancer xenograft mouse model, using MDA-MB-468 cells. Healthy mice and mice bearing breast cancer xenografts and receiving cyclophosphamide chemotherapy were compared after treatment with control diet and KD. Metabolomic profiling was performed on plasma samples, applying high-performance liquid chromatography coupled to tandem mass spectrometry. Statistical analysis revealed metabolic fingerprints comprising numerous significantly regulated features in the group of mice bearing breast cancer. This fingerprint disappeared after treatment with KD, resulting in recovery to the metabolic status observed in healthy mice receiving control diet. Moreover, amino acid metabolism as well as fatty acid transport were found to be affected by both the tumor and the applied KD. Our results provide clear evidence of a significant molecular effect of adjuvant KD in the context of tumor growth inhibition and suggest additional mechanisms of tumor suppression beyond the proposed constrain in energy supply of tumor cells.

The Proteome of Enchytraeus crypticus-Exposure to CuO Nanomaterial and CuCl2 -in Pursue of a Mechanistic Interpretation.

The transcriptome of the ecotoxicological model Enchytraeus crypticus (known as potworm) is well studied, but the downstream changes at the protein level remained a gap. Changes in the protein regulation following exposure to CuO nanomaterial (NM) and Cu salt (CuCl2 ) are investigated. HPLC-MS/MS using tandem mass tags is used. CuO NM elicits higher number of differentially expressed proteins (DEPs) compared to CuCl2 with little to no overlap of proteins. CuO NM causes more stress response mechanisms, with good agreement between DEPs, genes, and metabolites. CuCl2 causes higher impact in shorter time periods, but organisms have conserved mechanisms (constitutive genes) that allow Cu handling and detoxification. CuO NM causes higher impact after a longer exposure period, inducing regulation of facultative genes with a whole differentiated paradigm and cascade. This could be due to different issues: 1) the cell uptake route is different for Cu NM and Cu ions, 2) internalized Cu NM can result in a "Trojan-horse" effect, 3) the cascade of events occurs in a different time order, and 4) the organism uptake is different between life stages, i.e., cocoons thickened surface protects the entry of NM and juveniles have facilitated entry via tegument. The data have been deposited to the ProteomeXchange with identifier PXD010647.

Multiomics assessment in Enchytraeus crypticus exposed to Ag nanomaterials (Ag NM300K) and ions (AgNO3) - Metabolomics, proteomics (& transcriptomics).

Silver nanomaterials (AgNMs) are broadly used and among the most studied nanomaterials. The underlying molecular mechanisms (e.g. protein and metabolite response) that precede phenotypical effects have been assessed to a much lesser extent. In this paper, we assess differentially expressed proteins (DEPs) and metabolites (DEMs) by high-throughput (HTP) techniques (HPLC-MS/MS with tandem mass tags, reversed-phase (RP) and hydrophilic interaction liquid chromatography (HILIC) with mass spectrometric detection). In a time series (0, 7, 14 days), the standard soil model Enchytraeus crypticus was exposed to AgNM300K and AgNO3 at the reproduction EC20 and EC50. The impact on proteins/metabolites was clearly larger after 14 days. NM300K caused more upregulated DEPs/DEMs, more so at the EC20, whereas AgNO3 caused a dose response increase of DEPs/DEMs. Similar pathways were activated, although often via opposite regulation (up vs down) of DEPs, hence, dissimilar mechanisms underlie the apical observed impact. Affected pathways included e.g. energy and lipid metabolism and oxidative stress. Uniquely affected by AgNO3 was catalase, malate dehydrogenase and ATP-citrate synthase, and heat shock proteins (HSP70) and ferritin were affected by AgNM300K. The gene expression-based data in Adverse Outcome Pathway was confirmed and additional key events added, e.g. regulation of catalase and heat shock proteins were confirmed to be included. Finally, we observed (as we have seen before) that lower concentration of the NM caused higher biological impact. Data was deposited to ProteomeXchange, identifier PXD024444.

The Enchytraeus crypticus stress metabolome - CuO NM case study.

The stress metabolome provides a thorough insight into the signals and hence mechanisms of response of organisms. This is an excellent tool to advance the understanding of interactions, especially for substances like nanomaterials (NMs), for which there is an urgent need for alternative methods for hazard assessment. The metabolome of Enchytraeus crypticus was studied for the first time. The case study, CuO NM (and CuCl2) covered exposure along a time frame [0-7-14 days (d)] and two reproduction effect concentrations (EC10 and EC50). High-performance liquid chromatography-mass spectrometry based method (HPLC-MS) was used, with reversed phase (RP) separation and mass spectrometric detection in positive and negative modes. Metabolite profiling of Cu materials yielded 155 and 382 metabolite features in positive and negative modes, respectively, showing an expression related with time, material, and ECx. The number of differentially expressed metabolites (DEMs) decreased with exposure time (14 d) for CuO NM, whereas for CuCl2 EC50 it increased. Overall, almost all DEMs are down-regulated for CuO NM and up-regulated for CuCl2 (both modes). Early effects were mainly related to amino acids and later to lysophospholipids (down-regulation). Furthermore, the underlying mechanisms of CuO NM toxicity (e.g. neurotransmission, nucleic acids generation, cellular energy, and immune defense) differ from CuCl2, where later metabolomic responses are mostly linked to the metabolism of lipids and fewer to amino acids. This study reports a large scale metabolome profiling for E. crypticus and identifies potential markers of Cu materials, which can help to align intelligent testing strategies and safer-by-design materials.