1H high resolution magic angle spinning (HR-MAS) NMR spectroscopy was applied in combination with multivariate statistical analyses to study the metabolic response of whole cells to the treatment with a hexacationic ruthenium metallaprism [1]6+ as potential anticancer drug. Human ovarian cancer cells (A2780), the corresponding cisplatin resistant cells (A2780cisR), and human embryonic kidney cells (HEK-293) were each incubated for 24 h and 72 h with [1]6+ and compared to untreated cells. Different responses were obtained depending on the cell type and incubation time. Most pronounced changes were found for lipids, choline containing compounds, glutamate and glutathione, nucleotide sugars, lactate, and some amino acids. Possible contributions of these metabolites to physiologic processes are discussed. The time-dependent metabolic response patterns suggest that A2780 cells on one hand and HEK-293 cells and A2780cisR cells on the other hand may follow different cell death pathways and exist in different temporal stages thereof.

BackgroundCentrifugation is an indispensable procedure for plasma sample preparation, but applied conditions can vary between labs.AimDetermine whether routinely used plasma centrifugation protocols (1500×g 10 min; 3000×g 5 min) influence non-targeted metabolomic analyses.MethodsNuclear magnetic resonance spectroscopy (NMR) and High Resolution Mass Spectrometry (HRMS) data were evaluated with sparse partial least squares discriminant analyses and compared with cell count measurements.ResultsBesides significant differences in platelet count, we identified substantial alterations in NMR and HRMS data related to the different centrifugation protocols.ConclusionAlready minor differences in plasma centrifugation can significantly influence metabolomic patterns and potentially bias metabolomics studies.Electronic supplementary materialThe online version of this article (doi:10.1007/s11306-016-1109-3) contains supplementary material, which is available to authorized users.

Metformin is an antidiabetic drug, which inhibits mitochondrial respiratory-chain-complex I and thereby seems to affect the cellular metabolism in many ways. It is also used for the treatment of the polycystic ovary syndrome (PCOS), the most common endocrine disorder in women. In addition, metformin possesses antineoplastic properties. Although metformin promotes insulin-sensitivity and ameliorates reproductive abnormalities in PCOS, its exact mechanisms of action remain elusive. Therefore, we studied the transcriptome and the metabolome of metformin in human adrenal H295R cells. Microarray analysis revealed changes in 693 genes after metformin treatment. Using high resolution magic angle spinning nuclear magnetic resonance spectroscopy (HR-MAS-NMR), we determined 38 intracellular metabolites. With bioinformatic tools we created an integrated pathway analysis to understand different intracellular processes targeted by metformin. Combined metabolomics and transcriptomics data analysis showed that metformin affects a broad range of cellular processes centered on the mitochondrium. Data confirmed several known effects of metformin on glucose and androgen metabolism, which had been identified in clinical and basic studies previously. But more importantly, novel links between the energy metabolism, sex steroid biosynthesis, the cell cycle and the immune system were identified. These omics studies shed light on a complex interplay between metabolic pathways in steroidogenic systems.

Introduction A decline in mitochondrial function represents a key factor of a large number of inborn errors of metabolism, which lead to an extremely heterogeneous group of disorders. Objectives To gain insight into the biochemical consequences of mitochondrial dysfunction, we performed a metabolic profiling study in human skin fibroblasts using galactose stress medium, which forces cells to rely on mitochondrial metabolism. Methods Fibroblasts from controls, complex I and pyruvate dehydrogenase (PDH) deficient patients were grown under glucose or galactose culture condition. We investigated extracellular flux using Seahorse XF24 cell analyzer and assessed metabolome fingerprints using NMR spectroscopy. Results Incubation of fibroblasts in galactose leads to an increase in oxygen consumption and decrease in extracellular acidification rate, confirming adaptation to a more aerobic metabolism. NMR allowed rapid profiling of 41 intracellular metabolites and revealed clear separation of mitochondrial defects from controls under galactose using partial least squares discriminant analysis. We found changes in classical markers of mitochondrial metabolic dysfunction, as well as unexpected markers of amino acid and choline metabolism. PDH deficient cell lines showed distinct upregulation of glutaminolytic metabolism and accumulation of branched-chain amino acids, while complex I deficient cell lines were characterized by increased levels in choline metabolites under galactose. Conclusion Our results show the relevance of selective culture methods in discriminating normal from metabolic deficient cells. The study indicates that untargeted fingerprinting NMR profiles provide physiological insight on metabolic adaptations and can be used to distinguish cellular metabolic adaptations in PDH and complex I deficient fibroblasts.

High Resolution Magic Angle Spinning (HR-MAS) NMR allows metabolic characterization of biopsies. HR-MAS spectra from tissues of most organs show strong lipid contributions that are overlapping metabolite regions, which hamper metabolite estimation. Metabolite quantification and analysis would benefit from a separation of lipids and small metabolites. Generally, a relaxation filter is used to reduce lipid contributions. However, the strong relaxation filter required to eliminate most of the lipids also reduces the signals for small metabolites. The aim of our study was therefore to investigate different diffusion editing techniques in order to employ diffusion differences for separating lipid and small metabolite contributions in the spectra from different organs for unbiased metabonomic analysis. Thus, 1D and 2D diffusion measurements were performed, and pure lipid spectra that were obtained at strong diffusion weighting (DW) were subtracted from those obtained at low DW, which include both small metabolites and lipids. This subtraction yielded almost lipid free small metabolite spectra from muscle tissue. Further improved separation was obtained by combining a 1D diffusion sequence with a T2-filter, with the subtraction method eliminating residual lipids from the spectra. Similar results obtained for biopsies of different organs suggest that this method is applicable in various tissue types. The elimination of lipids from HR-MAS spectra and the resulting less biased assessment of small metabolites have potential to remove ambiguities in the interpretation of metabonomic results. This is demonstrated in a reproducibility study on biopsies from human muscle.

NMR measurements for metabolic characterization of biological samples like cells, biopsies or plasma, may take several hours for advanced methods. Preanalytical issues, such as sample preparation and stability over the measurement time, may have a high impact on metabolite content, and potentially lead to misinterpretation. The aim of this study was therefore to investigate by H HR-MAS NMR the impact of different cell handling preparation protocols on the stability of the cell metabolite content over the measurement time. For this purpose, the metabolite content of fibroblasts and adrenal cells were measured at different time points after lysis and after additional heating. Interestingly the results showed similar metabolite concentrations between lysed and lysed-heated cells at the beginning of the measurement, but increasing differences after some hours of measurement. In lysed cells, metabolism was ongoing, producing metabolite changes over time, contrary to a stable metabolite content of the lysed-heated cells. These results were confirmed in both fibroblasts and adrenal cells. Therefore, in order to minimize metabolite content modifications over the measurement time, it is suggested to use cell lysis in combination with heat inactivation for extended HR-MAS NMR measurements.

The urea cycle disorder (UCD) argininosuccinate lyase (ASL) deficiency, caused by a defective ASL enzyme, exhibits a wide range of phenotypes, from lifethreatening neonatal hyperammonemia to asymptomatic patients, with only the biochemical marker argininosuccinic acid (ASA) elevated in body fluids. Remarkably, even without ever suffering from hyperammonemia, patients often develop severe cognitive impairment and seizures. The goal of this study was to understand the effect on the known toxic metabolite ASA and the assumed toxic metabolite guanidinosuccinic acid (GSA) on developing brain cells, and to evaluate the potential role of creatine (Cr) supplementation, as it was described protective for brain cells exposed to ammonia. We used an in vitro model, in which we exposed threedimensional (3D) organotypic rat brain cell cultures in aggregates to different combinations of the metabolites of interest at two time points (representing two different developmental stages). After harvest and cryopreservation of the cell cultures, the samples were analyzed mainly by metabolite analysis, immunohistochemistry, and western blotting. ASA and GSA were found toxic for astrocytes and neurons. This toxicity could be reverted in vitro by Cr. As well, an antiapoptotic effect of ASA was revealed, which could contribute to the neurotoxicity in ASL deficiency.Further studies in human ASL deficiency will be required to understand the biochemical situation in the brain of affected patients, and to investigate the impact of high or low arginine doses on brain Cr availability. In addition, clinical trials to evaluate the beneficial effect of Cr supplementation in ASL deficiency would be valuable. K E Y W O R D S 3D organotypic brain cell cultures, argininosuccinate lyase (ASL) deficiency, argininosuccinic acid, astrocytes, creatine, guanidino compounds, guanidinosuccinic acid, neurons, neurotoxicity, urea cycle disorders Johannes Häberle and Olivier Braissant contributed equally to this study.

The trithiolato bridged diruthenium complex DiRu-1 [(p-MeC6H4iPr)2Ru2(SC6H4-p-But)3]+ is highly cytotoxic against various cancer cell lines, but its exact mode of action remains unknown. The present 1H HR-MAS NMR-based metabolomic study was performed on ovarian cancer cell line A2780, on its cis-Pt resistant variant A2780cisR, and on the cell line HEK-293 treated with 0.03 µM and 0.015 µM of DiRu-1 corresponding to full and half IC50 doses, respectively, to investigate the mode of action of this ruthenium complex. The resulting changes in the metabolic profile of the cell lines were studied using HR-MAS NMR of cell lysates and a subsequent statistical analysis. We show that DiRu-1 in a 0.03 µM dose has significant impact on the levels of a number of metabolites, such as glutamine, glutamate, glutathione, cysteine, lipid, creatine, lactate, and acetate, especially pronounced in the A2780cisR cell line. The IC50/2 dose shows some significant changes, but full IC50 appears to be necessary to observe the full effect. Overall, the metabolic changes observed suggest that redox homeostasis, the Warburg effect, and the lipid metabolism are affected by DiRu-1.