Metabolomics represents the global assessment of metabolites in a biological sample and reports the closest information to the phenotype of the biological system under study. Mammalian cell metabolomics has emerged as a promising tool with potential applications in many biotechnology and research areas. Metabolomics workflow includes experimental design, sampling, sample processing, metabolite analysis, and data processing. Given their influence on metabolite content and biological interpretation of data, a good experimental design and the appropriate choice of a sample processing method are prerequisites for success in any metabolomic study. The use of mammalian cells in the metabolomics field involves harder sample processing methods, including metabolism quenching and metabolite extraction, as compared to the use of body fluids, although such critical issues are frequently overlooked. This review aims to overview the common experimental procedures used in mammalian cell metabolomics based on mass spectrometry, by placing special emphasis on discussing sample preparation approaches, although other aspects, such as cell metabolomics applications, culture systems, cellular models, analytical platforms, and data analysis, are also briefly covered. This review intends to be a helpful tool to assist researchers in addressing decisions when planning a metabolomics study involving the use of mammalian cells.

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2-Hydroxy-4-methoxybenzophenone (HMB), which is one of the most commonly used UV filters in sunscreen cosmetics to protect skin from the deleterious effects of the sun, can be percutaneously absorbed, further metabolized, and finally excreted or bioaccumulated. An analytical method for the sensitive determination of HMB and its three metabolites in both human urine and semen is developed. The presented analytical method is based on a solid-phase extraction (SPE) procedure to clean-up and preconcentrate the target analytes from the urine and semen samples followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) detection. The methodology was fully validated and the standard addition calibration method was used to quantify the target analytes in order to correct the matrix effects observed. Considering this approach, the accuracy of the method was evaluated and the recoveries ranged from 98% to 115% and from 86% to 111% in urine and semen samples, respectively, depending on the analyte. For urine samples, the limits of detection ranged between 0.027 and 0.103 ng mL(-1) and the repeatability of the method, expressed as relative standard deviation, was in the range of 7.2-9.2%, depending on the analyte. In the case of semen samples, the limits of detection ranged between 1 and 3 ng mL(-1) whereas the repeatability was in the range of 2.2-6.4%, depending on the analyte. The described SPE-LC-MS/MS method was satisfactorily applied to both urine and semen samples from a male volunteer who applied a sunscreen cosmetic product containing HMB. HMB and its metabolites were found and quantified in the low ng mL(-1) range in both urine and semen samples, although at a different extent.

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Multiple analytical methods are required to comprehensively assess oxidative homeostasis and specific damage to macromolecules. Our aim was to develop a straightforward strategy for the fast assessment of global oxidative status and specific damage to DNA, proteins, and lipids. To this end, an analytical method, based on ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS/MS), was developed and validated for the quantification of 16 oxidative stress (OS) biomarkers. Some of these markers were unstable; thus, an easy sample treatment procedure, including fractionation and derivatization, was set up. The method was validated according to Food and Drug Administration (FDA) guidelines, and it provided good results in terms of intra- and inter-day precision (≤17.2 and 16 %, respectively), accuracy (relative error measurement between -16.6 and 19.8 %), and linearity (R (2) > 0.994). The approach was applied to determine the oxidative insult provoked to cultured rat hepatocytes by cumene hydroperoxide and to analyze the liver and serum samples from patients diagnosed with nonalcoholic steatohepatitis. In both studies, significant differences were found if compared to the corresponding control groups; interestingly, ophthalmic acid was shown as an OS biomarker in both models for the first time. A key advantage of the novel approach in comparison with former multi-method approaches is that now a single method is applied to assess the 16 OS biomarkers. Its comprehensive capacity to profile oxidative homeostasis and damage in both in vitro and clinical samples has been illustrated, which indicates that the proposed approach is a good choice to evaluate whether OS is involved in physiological signals, diseases, or toxic events and to what extent.