Editorial overview: recent innovations in the metabolomics revolution

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Next-generation capillary electrophoresis-mass spectrometry approaches in metabolomics

Capillary electrophoresis-mass spectrometry has shown considerable potential for profiling polar ionogenic compounds in metabolomics. Hyphenation of capillary electrophoresis to mass spectrometry is generally performed via a sheath-liquid interface. However, the electrophoretic effluent is significantly diluted in this configuration thereby limiting the utility of this method for highly sensitive metabolomics studies. Moreover, in this set-up the intrinsically low-flow property of capillary electrophoresis is not effectively utilized in combination with electrospray ionization. Here, advancements that significantly improved the performance of capillary electrophoresis-mass spectrometry are considered, with a special emphasis on the sheathless porous tip interface. Attention is also devoted to various technical aspects that still need to be addressed to make capillary electrophoresis-mass spectrometry a robust approach for probing the polar metabolome.Analytical BioScience

Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry: A High-Throughput Platform in Metabolomics for Assessment of Lifestyle Interventions in Human Health

Research in this thesis has focused on development and application of novel methodologies that enhance sample throughput and data fidelity when performing untargeted metabolome profiling by multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS). Metabolomics is a valuable tool in functional genomics research to investigate underlying molecular mechanisms associated with human health since metabolites are “real-world” end-products of gene expression. CE-MS is well-suited for metabolomics because it is a high efficiency microseparation technique that can be used to resolve complex mixtures of polar metabolites in human biofluids without complicated sample workup. In this thesis, a novel CE-MS assay for estrogens and their intact ionic conjugates has been described (Chapter II) to expand metabolome coverage that enables resolution of positional isomers with high selectivity. This is critical for better understanding of underlying perturbations in estrogen metabolism since the biological activity of estrogens are dependent on specific primary and secondary metabolic transformations. MSI-CE-MS has been introduced as a high-throughput approach for large-scale metabolomic studies based on serial injection of multiple segments of sample within a single fused-silica capillary (Chapter III). It reduces analysis times while increasing data quality and confidence in peak assignment together with better quality assurance. An accelerated workflow for metabolomics has also been developed when using MSI-CE-MS, where a dilution trend filter is used as a primary screen to authenticate reproducible sample-derived metabolites from a pooled sample while eliminating spurious artifact and background signals. In this way, complicated time alignment and peak picking algorithms are avoided when processing data in metabolomics to reduce false discoveries. This strategy was subsequently used in two metabolomics applications (Chapters IV and V) to identify plasma markers associated with strenuous exercise and adaptive training responses following a six-week high intensity interval training. The impact of exercise intervention to improve the glucose tolerance of a cohort of overweight/obese yet non-diabetic women was investigated on an individual level when using a cross-over design. Personalized interventions are critical in designing more effective therapies to prevent metabolic diseases due to inter-subject variations in treatment responses, including potential adverse effects. MSI-CE-MS offers a revolutionary approach for biomarker discovery in metabolomics with high sample throughput and high data fidelity, which is critical for validation of safe yet effective lifestyle interventions that promote human health and reduce risk for chronic diseases.Doctor of Philosophy (PhD

Human metabolomics: strategies to understand biology

Metabolomics provides a direct functional read-out of the physiological status of an organism and is in principle ideally suited to describe someone's health status. Whereas only a limited number of small metabolites are used in the clinics, in inborn errors of metabolism an extensive repertoire of metabolites are used as biomarkers. We discuss that the proper clinical phenotyping is crucial to find biomarkers and obtain biological insights for multifactorial diseases. This requires to study the phenotype dynamics including the concepts of homeostasis and allostasis, that is, the ability to adapt and cope with a challenge. We also elaborate that biology-driven metabolomics platforms (i.e. development of metabolomics technology driven by the need of studying and answering important biomedical questions) addressing clinically relevant pathways and at the same time providing absolute concentrations are key to allow discovery and validation of biomarkers across studies and labs. Following individuals over years will require high throughput metabolomics approaches, which are emerging for nuclear magnetic resonance spectroscopy and direct-infusion mass spectrometry, but should also include the biochemical networks needed for personalized health monitoring

Sheathless capillary electrophoresis-mass spectrometry for anionic metabolic profiling

The performance of CE coupled on-line to MS via a sheathless porous tip sprayer was evaluated for anionic metabolic profiling. A representative metabolite mixture and biological samples were used for the evaluation of various analytical parameters, such as peak efficiency (plate numbers), migration time and peak area repeatability, and LODs. The BGE, i.e. 10% acetic acid (pH 2.2), previously used for cationic metabolic profiling was now assessed for anionic metabolic profiling by using MS detection in negative ion mode. For test compounds, RSDs for migration times and peak areas were below 2 and 11%, respectively, and plate numbers ranged from 60 000 to 40 0000 demonstrating a high separation efficiency. Critical metabolites with low or no retention on reversed-phase LC could be efficiently separated and selectively analyzed by the sheathless CE-MS method. An injection volume of only circa 20 nL resulted in LODs between 10 and 200 nM (corresponding to an amount of 0.4-4 fmol), which was an at least tenfold improvement as compared to LODs obtained by conventional CE-MS approaches for these analytes. The methodology was applied to anionic metabolic profiling of glioblastoma cell line extracts. Overall, a sheathless CE-MS method has been developed for highly efficient and sensitive anionic metabolic profiling studies, which can also be used for cationic metabolic profiling studies by only switching the MS detection and separation voltage polarity.Analytical BioScience

Analytical techniques for biomass-restricted metabolomics: an overview of the state-of-the-art

Biomedical and clinical questions increasingly deal with biomass-restricted samples. To address these questions with a metabolomics approach, the development of new microscale analytical techniques and workflows is needed. Over the past few years, significant efforts have been made to improve the overall sensitivity of MSbased metabolomics workflows to enable the analysis of biological samples that are low in metabolite concentration or biomass. In this paper, factors that are crucial for the performance of biomass-restricted metabolomics studies are discussed, including sampling and sample preparation methods, separation techniques and ionization sources. Overviews of MS-based miniaturized metabolomics studies reported over the past five years are given in tables, with information provided on sample type, sample preparation volume, injection volume, separation techniques and MS analyzers. Finally, some general conclusions and perspectives are given.Analytical BioScience

Homemade Capillary Electrophoresis Coupled to a Mass Spectrometer

A system was developed in our laboratory to couple capillary electrophoresis with mass spectrometry. the capillary electrophoresis system was equipped with a high voltage supply, and a microcontroller with assembly language programming was developed for the computational control of the system. the MS system was a commercial Thermo Finningan LCQ ion trap mass spectrometer. the robustness of the coupled system was evaluated using standard protein samples (lysozyme, aprotinin, and bovine albumin) and tryptic digests of lysozyme. the system showed positive results in terms of robustness, allowing for the separation of digested proteins and the identification of 33% of the total amino acids in a protein (6 of the 18 expected peptides). the limit of detection was in the order of 1 picomole (signal-to-noise ratio), which was considered satisfactory for this system. the system shows high versatility in tandem coupling and combinations with other analytical procedures.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Federal de São Paulo, Inst Ciencias Ambientais Quim & Farmaceut, Dept Ciencias Exatas & Terra Diadema, São Paulo, BrazilUniv São Paulo, Inst Quim Sao Carlos, São Paulo, BrazilUniversidade Federal de São Paulo, Inst Ciencias Ambientais Quim & Farmaceut, Dept Ciencias Exatas & Terra Diadema, São Paulo, BrazilWeb of Scienc

Towards a comprehensive characterisation of the human internal chemical exposome: Challenges and perspectives

The holistic characterisation of the human internal chemical exposome using high-resolution mass spectrometry (HRMS) would be a step forward to investigate the environmental AE tiology of chronic diseases with an unprecedented precision. HRMS-based methods are currently operational to reproducibly profile thousands of endogenous metabolites as well as externally-derived chemicals and their biotransformation products in a large number of biological samples from human cohorts. These approaches provide a solid ground for the discovery of unrecognised biomarkers of exposure and metabolic effects associated with many chronic diseases. Nevertheless, some limitations remain and have to be overcome so that chemical exposomics can provide unbiased detection of chemical exposures affecting disease susceptibility in epidemiological studies. Some of these limitations include (i) the lack of versatility of analytical techniques to capture the wide diversity of chemicals; (ii) the lack of analytical sensitivity that prevents the detection of exogenous (and endogenous) chemicals occurring at (ultra) trace levels from restricted sample amounts, and (iii) the lack of automation of the annotation/identification process. In this article, we discuss a number of technological and methodological limitations hindering applications of HRMS-based methods and propose initial steps to push towards a more comprehensive characterisation of the internal chemical exposome. We also discuss other challenges including the need for harmonisation and the difficulty inherent in assessing the dynamic nature of the internal chemical exposome, as well as the need for establishing a strong international collaboration, high level networking, and sustainable research infrastructure. A great amount of research, technological development and innovative bio-informatics tools are still needed to profile and characterise the "invisible" (not profiled), "hidden" (not detected) and "dark" (not annotated) components of the internal chemical exposome and concerted efforts across numerous research fields are paramount

Ultrasensitive CITP-MS based targeted proteomics technologies for protein identification and quantification

Mass Spectrometry (MS) based technologies have enabled efficient and comprehensive proteomic profiling for biomarker discovery. However, due to sample complexity and large concentration variation, the obtained data is usually biased to endogeneous high abundance proteins while the important disease-related information went missing. Targeted proteomics enables the delivery of precise and sensitive qualitative/quantitative data of interest to researchers by focusing analysis on a preselected population of cells or proteins. This project aims to develop targeted proteomic technologies through capillary isotachophoresis (CITP)-based technique which is capable of selectively enriching trace compounds for a further improved sensitivity in both discovery and validation studies. By employing tissue microdissection and a CITP-based multidimensional separation platform, homogeneous glioma cells were isolated from unwanted cells and analyzed in search of glioblastoma biomarker. Comparative proteomic profiling of pure tumor cells from different grades of infiltrative astrocytomas revealed disease specific protein expression variation among grades. Further validation using immunohistochemistry demonstrated consistent results. This targeted tissue analyzing platform provided a sensitive and confident methodology for biomarker discovery within minute amount of samples. With the demonstrated outstanding analyzing capacity on targeted biomarker discovery, we moved on to developing ultrasensitive targeted quantitation techniques. We demonstrated online coupling of transient-CITP/CZE (capillary zone electrophoresis) with selective reaction monitoring (SRM) MS for the first time via a sheathliquid interface for improved sensitivity and selectivity. Ultrasensitive targeted quantitation was achieved through the incorporation of the selective enrichment capability of CITP/CZE with SRM MS, giving a limit of quantitation (LOQ) of 50 pM with a total sample loading of 50 attomoles. In order to further improve the sensitivity, we developed a novel sheathless interface which enables increased loading capacity and nanoflow operation by assembling a large size separation capillary and a small size porous emitter. LOQ was improved 5 times comparing to using the first sheathliquid interface, giving a LOQ of 10 pM with a total sample loading of 25 attomoles. This novel interface optimally preserved the high resolution and efficiency of CITP/CZE while improving the limited sample loading capacity, demonstrating a powerful analytic platform for targeted proteomic quantitation and validation