GC-TOF/MS-based metabolomic strategy for combined toxicity effects of deoxynivalenol and zearalenone on murine macrophage ANA-1 cells

Spirulina platensis Suppressed iNOS and Proinflammatory Cytokines in Lipopolysaccharide-Induced BV2 Microglia

The disease burden of neurodegenerative diseases is on the rise due to the aging population, and neuroinflammation is one of the underlying causes. Spirulina platensis is a well-known superfood with numerous reported bioactivities. However, the effect of S. platensis Universiti Malaya Algae Culture Collection 159 (UMACC 159) (a strain isolated from Israel) on proinflammatory mediators and cytokines remains unknown. In this study, we aimed to determine the anti-neuroinflammatory activity of S. platensis extracts and identify the potential bioactive compounds. S. platensis extracts (hexane, ethyl acetate, ethanol, and aqueous) were screened for phytochemical content and antioxidant activity. Ethanol extract was studied for its effect on proinflammatory mediators and cytokines in lipopolysaccharide (LPS)-induced BV2 microglia. The potential bioactive compounds were identified using liquid chromatography-mass spectrometric (LC-MS) analysis. Ethanol extract had the highest flavonoid content and antioxidant and nitric oxide (NO) inhibitory activity. Ethanol extract completely inhibited the production of NO via the downregulation of inducible NO synthase (iNOS) and significantly reduced the production of tumor necrosis factor (TNF)-α and interleukin (IL)-6. Emmotin A, palmitic amide, and 1-monopalmitin, which might play an important role in cell signaling, have been identified. In conclusion, S. platensis ethanol extract inhibited neuroinflammation through the downregulation of NO, TNF-α and IL-6. This preliminary study provided insight into compound(s) isolation, which could contribute to the development of precision nutrition for disease management.

Untargeted metabolomics analysis by gas chromatography/time-of-flight mass spectrometry of human serum from methamphetamine abusers

Methamphetamine (METH) abuse has become a global public health problem. However, the potential mechanisms involving METH-induced metabolic disorders have thus far remained poorly understood. Metabolomics can provide a clue for the cause of apparent changes and consequently be used to investigate the METH-induced dysregulation of metabolite expression and the mechanism of metabolic disorder mechanism. This laboratory investigation included 80 METH abusers and 80 healthy people. The serum metabolites were detected and analysed by gas chromatography/time-of-flight mass spectrometry. Raw data were processed with the software MS DIAL, which includes deconvolution, peak alignment and compound identification. The data matrix was processed by univariate and multivariate analyses for significant metabolite screening with the criteria of variable importance in projection values > 1, fold change > 1.5 and the t test (p value < 0.05). Significant differences in 16 metabolites (deoxycholic acid, cholic acid, hydroxylamine, etc.) in serum were found between the METH abuse group and the control group. Energy metabolic pathways and several amino acid metabolic pathways (alanine, aspartic acid and glutamate metabolism and tryptophan metabolism) were primarily involved. Further analysis indicated that the area under the receiver operating characteristic curve (AUC) was 0.998 for these 16 metabolites. Among the metabolites, three carbohydrates (d-ribose, cellobiose and maltotriose) had an AUC of 0.975, which were determined as potential markers of abuse. We observed metabolic disturbances in METH abusers, particularly perturbation in energy metabolism and amino acid metabolism, which can provide new insights into the search for biomarkers and the mechanisms underlying the adverse effects of METH on human health.

Deoxynivalenol and Zearalenone-Synergistic or Antagonistic Agri-Food Chain Co-Contaminants?

Deoxynivalenol (DON) and Zearalenone (ZEN) are two commonly co-occurring mycotoxins produced by members of the genus Fusarium. As important food chain contaminants, these can adversely affect both human and animal health. Critically, as they are formed prior to harvesting, their occurrence cannot be eliminated during food production, leading to ongoing contamination challenges. DON is one of the most commonly occurring mycotoxins and is found as a contaminant of cereal grains that are consumed by humans and animals. Consumption of DON-contaminated feed can result in vomiting, diarrhoea, refusal of feed, and reduced weight gain in animals. ZEN is an oestrogenic mycotoxin that has been shown to have a negative effect on the reproductive function of animals. Individually, their mode of action and impacts have been well-studied; however, their co-occurrence is less well understood. This common co-occurrence of DON and ZEN makes it a critical issue for the Agri-Food industry, with a fundamental understanding required to develop mitigation strategies. To address this issue, in this targeted review, we appraise what is known of the mechanisms of action of DON and ZEN with particular attention to studies that have assessed their toxic effects when present together. We demonstrate that parameters that impact toxicity include species and cell type, relative concentration, exposure time and administration methods, and we highlight additional research required to further elucidate mechanisms of action and mitigation strategies.

Development of a Gas Chromatography-Time-of-Flight Method for Detecting Glucosinolate Metabolites and Volatile Organic Compounds in Kimchi

This study examined the volatile organic compounds (VOCs) and metabolites of glucosinolate (GLS) contained in kimchi and analyzed GLS using myrosinase. The analysis was conducted using gas chromatography-time of flight (GC-TOF), and VOC and the metabolite quantities were detected and analyzed. Based on 22 samples, tests were conducted, and 12 metabolites and 52 VOCs were found. When the detected metabolites were compared in general, the rate of isothiocyanate, which is well known for its anticancer effects and various other activities, was the highest. A total of 52 VOCs, including 15 aliphatic hydrocarbons, 7 acids, and 6 alcohols, were detected by GC-TOF. Therefore, the analytical methods provide a good basis to examine VOC and GLS metabolites; furthermore, the methods are of great help to secure excellent kimchi and evaluate its quality.

Analysis of low-molecular-weight metabolites in stomach cancer cells by a simplified and inexpensive GC/MS metabolomics method

GC/MS coupled metabolomics analysis, using a simplified and much less expensive silylation process with trimethylsilyl cyanide (TMSCN), was conducted to investigate metabolic abnormalities in stomach cancer cells. Under optimized conditions for derivatization by TMSCN and methanol extraction, 228 metabolites were detected using GC/MS spectrometry analysis, and 89 metabolites were identified using standard compounds and the NIST database. Ten metabolite levels were found to be lower in stomach cancer cells relative to normal cells. Among those ten metabolites, four metabolites-ribose, proline, pyroglutamic acid, and glucose-were known to be linked to cancers. In particular, pyroglutamic acid level showed a drastic reduction of 22-fold in stomach cancer cells. Since glutamine and glutamic acid are known to undergo cyclization to pyroglutamic acid, the 22-fold reduction might be the actual reduction in the levels of glutamine and/or glutamic acid-both known to be cancer-related. Hence, the marked reduction in pyroglutamic acid level might serve as a biomarker to aid early detection of stomach cancer. Graphical abstract.

An electrochemiluminescent sensing matrix for real-time probing of cell-output reactive oxygen species

Herein, a novel cell-based electrochemiluminescent (ECL) sensing matrix was developed for probing reactive oxygen species (ROSs) produced from mouse macrophage cells. Uniformly sized Au nanoparticles (AuNPs) with an average diameter of 16 nm were decorated on the surface of indium tin oxide (ITO) glass through the connection of hydrolyzed 3-aminopropyl trimethoxysilane (APTMS) serving as a sensor substrate. Then, the surface was covered with a poly-l-lysine thin film, where mouse macrophage cells were successfully cultured. The morphology of the electrodes obtained was characterized by scanning electron microscopy and atomic force microscopy, and their electrochemical properties were investigated by electrochemical impedance spectroscopy. A linear response was observed from the AuNPs/APTMS/ITO substrate with a sensitivity of 0.465 units per mg/l of H₂O₂, and a higher sensitivity of 207 units per mg/l of zymosan. Thereafter, a factor of 84 molecules of H₂O₂ produced by a single glycogen was estimated. The results demonstrated that the ECL response of this cell-based sensor quantitatively correlated with yielded ROSs during cell oxygen metabolism under the stimulation of zymosan. This work suggests that the prepared sensing matrix is efficient for monitoring the oxygen metabolism of living cells and can be applied in biological and clinical fields to provide significant information on the regular or abnormal function of cells.

Nontargeted Detection Methods for Food Safety and Integrity

Nontargeted workflows for chemical hazard analyses are highly desirable in the food safety and integrity fields to ensure human health. Two different analytical strategies, nontargeted metabolomics and chemical database filtering, can be used to screen unknown contaminants in food matrices. Sufficient mass and chromatographic resolutions are necessary for the detection of compounds and subsequent componentization and interpretation of candidate ions. Analytical chemistry–based technologies, including gas chromatography–mass spectrometry (GC-MS), liquid chromatography–mass spectrometry (LC-MS), nuclear magnetic resonance (NMR), and capillary electrophoresis–mass spectrometry (CE-MS), combined with chemometrics analysis are being used to generate molecular formulas of compounds of interest. The construction of a chemical database plays a crucial role in nontargeted detection. This review provides an overview of the current sample preparation, analytical chemistry–based techniques, and data analysis as well as the limitations and challenges of nontargeted detection methods for analyzing complex food matrices. Improvements in sample preparation and analytical platforms may enhance the relevance of food authenticity, quality, and safety.

Impaired lipid and glucose homeostasis in male mice offspring after combined exposure to low-dose bisphenol A and arsenic during the second half of gestation

In this study, we used a ¹H NMR based metabolomics strategy combined with gene expression analysis to determine the combined effects of gestational exposure of mice to BPA (10 μg/kg body weight by subcutaneous injection) and arsenic (10 ppb sodium arsenite in drinking water). Results showed that exposure to either BPA or, arsenic or their combination induced age-dependent metabolic disruptions in male mice offspring, and the combined exposure could exacerbate the metabolic changes induced by either BPA or arsenic alone. Moreover, this combined exposure influenced both glucose tolerance and insulin tolerance in mice, along with changing the expression of genes involved in lipid and glucose homeostasis. Specifically, the combined exposure to BPA and arsenic promoted the uptake of glucose and fatty acid from serum to liver, and genes involved in glycogenesis, glucogenesis, and fatty acid oxidation were activated in the liver in the combined exposure group. Taken together, these experimental results highlight the importance of considering the combined toxicity of environmental pollutants at levels relevant to human exposure, especially during the early life stages of mammals.

A metabolomics strategy to assess the combined toxicity of polycyclic aromatic hydrocarbons (PAHs) and short-chain chlorinated paraffins (SCCPs)

The combined toxicity of mixed chemicals is usually evaluated according to several specific endpoints, and other potentially toxic effects are disregarded. In this study, we provided a metabolomics strategy to achieve a comprehensive understanding of toxicological interactions between mixed chemicals on metabolism. The metabolic changes were quantified by a pseudotargeted analysis, and the types of combined effects were quantitatively discriminated according to the calculation of metabolic effect level index (MELI). The metabolomics strategy was used to assess the combined effects of polycyclic aromatic hydrocarbons (PAHs) and short-chain chlorinated paraffins (SCCPs) on the metabolism of human hepatoma HepG2 cells. Our data suggested that exposure to a combination of PAHs and SCCPs at human internal exposure levels could result in an additive effect on the overall metabolism, whereas diverse joint effects were observed on various metabolic pathways. The combined exposure could induce a synergistic up-regulation of phospholipid metabolism, an additive up-regulation of fatty acid metabolism, an additive down-regulation of tricarboxylic acid cycle and glycolysis, and an antagonistic effect on purine metabolism. SCCPs in the mixture acted as the primary driver for the acceleration of phospholipid and fatty acid metabolism. Lipid metabolism disorder caused by exposure to a combination of PAHs and SCCPs should be an important concern for human health.

Explaining combinatorial effects of mycotoxins Deoxynivalenol and Zearalenone in mice with urinary metabolomic profiling

Urine metabolic profiling of mice was conducted utilizing gas chromatography-mass spectrometry (GC-MS) to investigate the combinatory effect of mycotoxins deoxynivalenol (DON) and zearalenone (ZEN) on the metabolism of the mice. Experiments were conducted by means of five-week-old mice which were individually exposed to 2 mg/kg DON, 20 mg/kg ZEN and the mixture of DON and ZEN (2 mg/kg and 20 mg/kg, respectively). The intragastric administration was applied for three weeks and urine samples were collected for metabolic analysis. Univariate and multivariate analysis were applied to data matrix processing along with respective pathway analysis by MetaMapp and CytoScape. The results showed that the combined DON and ZEN administration resulted in lower significant changes, compared to the individual mycotoxin treated groups verified by heatmap. Metabolic pathways network mapping indicated that the combined mycotoxins treated groups showed a little effect on the metabolites in most pathways, especially in glucose metabolism and its downstream amino acid metabolism. In glucose metabolism, the content of galactose, mannitol, galactonic acid, myo-inositol, tagatose was drastically down-regulated. Furthermore, the organic acids, pyruvate, and amino acids metabolism displayed the same phenomenon. In conclusion, the combined DON/ZEN administration might lead to an "antagonistic effect" in mice metabolism.

Integration of Transcriptomic and Metabolomic Data Reveals Enhanced Steroid Hormone Biosynthesis in Mouse Uterus During Decidualization

It has been long recognized that decidualization is accompanied by significant changes in metabolic pathways. In the present study, we used the GC-TOF-MS approach to investigate the global metabolite profile changes associated with decidualization of mouse uterus on day 8 of pregnancy. We identified a total of 20 differentially accumulated metabolites, of which nine metabolites were down-regulated and 11 metabolites were up-regulated. As expected, seven differentially accumulated metabolites were involved in carbohydrate metabolism. We observed statistically significant changes in polyamines, putrescine and spermidine. Interestingly, the pantothenic acid, also known as vitamin B₅ , was up-regulated. Finally, by integrating with transcriptomic data obtained by RNA-seq, we revealed enhanced steroid hormone biosynthesis during decidualization. Our study contributes to an increase in the knowledge on the molecular mechanisms of decidualization.

Differential impacts of individual and combined exposures of deoxynivalenol and zearalenone on the HepaRG human hepatic cell proteome

Numerous surveys have highlighted the natural co-occurrence of deoxynivalenol (DON) and zearalenone (ZEA) mycotoxins in food and feed. Nevertheless, data regarding cellular mechanisms involved in response to their individual and simultaneous exposures are lacking. In this study, in order to analyze how low mycotoxin doses could impact cellular physiology and homeostasis, proteomic profiles of proliferating human hepatic cells (HepaRG) exposed for 1h and 24h to low DON and ZEA cytotoxicity levels (0.2 and 20μM respectively), alone or in combination, were analyzed by LC-MS/MS. Proteome analyses of mycotoxin-treated cells identified 4000 proteins with about 1.4% and 3.7% of these proteins exhibiting a significantly modified abundance compared to controls after 1h or 24h, respectively. Analysis of the Gene Ontology biological process annotations showed that cell cycle, proliferation and/or development as well as on DNA metabolic processes were affected for most treatments. Overall, different proteins, and thus biological processes, were impacted depending on the considered mycotoxin and exposure duration. Finally, despite the important proteome changes observed following 24h exposure to both mycotoxins, only the uptake of ZEA by the cells was suggested by the mycotoxin quantification in cell supernatants.

BIOLOGICAL SIGNIFICANCE

This study investigated the proteomic changes that occurred after DON and ZEA (individually and in combination) short exposures at low cytotoxicity levels in proliferating HepaRG cells using LC-MS/MS. The obtained results showed that the cellular response is time- and mycotoxin or mixture-dependent. In particular, after 1h exposure, the DON+ZEA combination led to more proteomic changes than DON or ZEA alone, whereas the opposite was observed after 24h. In addition, the significant cellular response to stress induced by ZEA after 24h exposure seemed to be reduced when combined with DON. Thus, these results supported a possible mitigation by the hepatocytes when exposed to the mycotoxin mixture for a long duration. These findings represent an essential step to further explore adaptive cell response to mycotoxin exposure using with more complex incubation kinetics and combining different "omics" tools. Moreover, as mycotoxin quantification in cell supernatants showed different behaviors for DON and ZEA, this also raises the question about how mycotoxins actually trigger the cell response.

The disorder metabolic profiling in kidney and spleen of mice induced by mycotoxins deoxynivalenol through gas chromatography mass spectrometry

Gas chromatography mass spectrometry (GC-MS) based metabolomics strategy was implemented for the metabolites detection in kidney and spleen samples of mice, which were treated with 2 mg kg^-1 deoxynivalenol (DON), through intragastric administration for three weeks, for studying the toxicity of DON on the metabolic profiling in kidney and spleen. The spectrum was deconvoluted, aligned and identified with MS DIAL, equipped with Fiehn library. And the data matrix was processed with univariate analysis and multivariate analysis for selection of metabolites with VIP >1, t-test p value < 0.05. The metabolic pathway analysis was analyzed with MetaMapp and drew by CytoScape. Result shows that DON could induce an increased protein synthesis to repair the damaged membrane protein structure, in both kidney and spleen, with decrease of valine, leucine and phenylalanine, et al. essential precursors for protein synthesis and energy production; the energy metabolism in kidney disordered by DON, with the decreasing of ribitol, glycerol 1-phosphate, et al. Furthermore, DON could lead to the disorder in immunity function and nucleotide metabolism in spleen, with decreasing trend of cytidine and alanine.

The Antagonistic Effect of Mycotoxins Deoxynivalenol and Zearalenone on Metabolic Profiling in Serum and Liver of Mice

Metabolic profiling in liver and serum of mice was studied for the combined toxic effects of deoxynivalenol (DON) and zearalenone (ZEN), through gas chromatography mass spectrum. The spectrum of serum and liver sample of mice, treated with individual 2 mg/kg DON, 20 mg/kg ZEN, and the combined DON + ZEN with final concentration 2 mg/kg DON and 20 mg/kg ZEN for 21 days, were deconvoluted, aligned and identified with MS DIAL. The data matrix was processed with univariate analysis and multivariate analysis for selection of metabolites with variable importance for the projection (VIP) > 1, t-test p value < 0.05. The metabolic pathway analysis was performed with MetaMapp and drawn by CytoScape. Results show that the combined DON and ZEN treatment has an obvious “antagonistic effect” in serum and liver tissue metabolic profiling of mice. The blood biochemical indexes, like alkaline phosphatase, alanine transaminase, and albumin (ALB)/globulin (GLO), reveal a moderated trend in the combined DON + ZEN treatment group, which is consistent with histopathological examination. The metabolic pathway analysis demonstrated that the combined DON and ZEN treatment could down-regulate the valine, leucine and isoleucine biosynthesis, glycine, serine and threonine metabolism, and O-glycosyl compounds related glucose metabolism in liver tissue. The metabolic profiling in serum confirmed the finding that the combined DON and ZEN treatment has an “antagonistic effect” on liver metabolism of mice.