Electronic cigarette vapor disrupts key metabolic pathways in human lung epithelial cells.

The steady increase in the use of electronic cigarettes (ECs) has reached an epidemic level, increasing mortality and morbidity, mainly due to pulmonary toxicity. Several mechanisms are involved in EC-induced toxicity, including oxidative stress and increased inflammation. Concurrently, the integrity of cellular metabolism is essential for cellular homeostasis and mitigation of toxic insults. However, the effects of EC on cellular metabolism remain largely unknown. In this study, we investigated the metabolic changes induced by EC in human lung epithelial cells (A549) using an untargeted metabolomics approach. A549 cells were exposed to increasing EC vapor extract concentrations, and cell viability, oxidative stress, and metabolomic changes were assessed. Our findings show that ECs induce cell death and increase oxidative stress in a concentration-dependent manner. Metabolomic studies demonstrated that ECs induce unique metabolic changes in key cellular metabolic pathways. Our results revealed that exposure to ECs induced clear segregation in metabolic responses which is driven significantly by number of essential metabolites such as aminoacids, fatty acids, glutathione, and pyruvate. Interstingly, our metabolomics results showed that each concentration of ECs induced unqiues pattern of metabolic changes, suggesting the complexity of ECs induced cytotoxcity. Disrupted metabolites were linked to essential cellular pathways, such as fatty acid biosynthesis, as well as glutathione, pyruvate, nicotinate and nicotinamide, and amino acid metabolisms. These results highlight the potential adverse effects of ECs on cellular metabolism and emphasize the need for further research to fully understand the long-term consequences of EC use. Overall, this study demonstrates that ECs not only induce cell death and oxidative stress but also disrupt cellular metabolism in A549 lung epithelial cells.

Untargeted metabolomics analysis of four date palm (Phoenix dactylifera L.) cultivars using MS and NMR.

Since ancient times, the inhabitants of dry areas have depended on the date palm (Phoenix dactylifera L.) as a staple food and means of economic security. For example, dates have been a staple diet for the inhabitants of the Arabian Peninsula and Sahara Desert in North Africa for millennia and the local culture is rich in knowledge and experience with the benefits of dates, suggesting that dates contain many substances essential for the human body. Madinah dates are considered one of the most important types of dates in the Arabian Peninsula, with Ajwa being one of the most famous types and grown only in Madinah, Saudi Arabia. Date seeds are traditionally used for animal feed, seed oil production, cosmetics, and as a coffee substitute. Phytochemical compounds that have been detected in date fruits and date seeds include phenolic acids, carotenoids, and flavonoids. Phenolic acids are the most prevalent bioactive constituents that contribute to the antioxidant activity of date fruits. The bioactive properties of these phytochemicals are believed to promote human health by reducing the risk of diseases such as chronic inflammation. Ajwa dates especially are thought to have superior bioactivity properties. To investigate these claims, in this study, we compare the metabolic profiles of Ajwa with different types of dates collected from Saudi Arabia and Tunisia. We show by UHPLC-MS that date seeds contain several classes of flavonoids, phenolic acids, and amino acid derivatives, including citric acid, malic acid, lactic acid, and hydroxyadipic acid. Additionally, GC-MS profiling showed that date seeds are richer in metabolite classes, such as hydrocinnamic acids (caffeic, ferulic and sinapic acids), than flesh samples. Deglet N fruit extract (minimum inhibitory concentration: 27 MIC/µM) and Sukkari fruit extract (IC50: 479 ± 0.58µg /mL) have higher levels of antibacterial and antioxidative activity than Ajwa fruits. However, the seed analysis showed that seed extracts have better bioactivity effects than fruit extracts. Specifically, Ajwa extract showed the best MIC and strongest ABTS radical-scavenging activity among examined seed extracts (minimum inhibitory concentration: 20 µM; IC50: 54 ± 3.61µg /mL). Our assays are a starting point for more advanced in vitro antibacterial models and investigation into the specific molecules that are responsible for the antioxidative and anti-bacterial activities of dates.

Compound-Specific 1D 1H NMR Pulse Sequence Selection for Metabolomics Analyses.

NMR-based metabolomics approaches have been used in a wide range of applications, for example, with medical, plant, and marine samples. One-dimensional (1D) 1H NMR is routinely used to find out biomarkers in biofluids such as urine, blood plasma, and serum. To mimic biological conditions, most NMR studies have been carried out in an aqueous solution where the high intensity of the water peak is a major problem in obtaining a meaningful spectrum. Different methods have been used to suppress the water signal, including 1D Carr-Purcell-Meiboom-Gill (CPMG) presat, consisting of a T2 filter to suppress macromolecule signals and reduce the humped curve in the spectrum. 1D nuclear Overhauser enhancement spectroscopy (NOESY) is another method for water suppression that is used routinely in plant samples with fewer macromolecules than in biofluid samples. Other common 1D 1H NMR methods such as 1D 1H presat and 1D 1H ES have simple pulse sequences; their acquisition parameters can be set easily. The proton with presat has just one pulse and the presat block causes water suppression, while other 1D 1H NMR methods including those mentioned above have more pulses. However, it is not well known in metabolomics studies because it is used only occasionally and in a few types of samples by metabolomics experts. Another effective method is excitation sculpting to suppress water. Herein, we evaluate the effect of method selection on signal intensities of commonly detected metabolites. Different classes of samples including biofluid, plant, and marine samples were investigated, and recommendations on the advantages and limitations of each method are presented.

You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.

A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical components present in different food types, and the diversity of interactions in the biochemical networks and biological systems, makes nutrition research a complicated field. Metabolomics science is an "-omic", joining proteomics, transcriptomics, and genomics in affording a global understanding of biological systems. In this review, we present the main metabolomics approaches, and highlight the applications and the potential for metabolomics approaches in advancing nutritional food research.