Data Collection ; methods ; Metabolomics ; methods

Child ; Humans ; Metabolomics ; Pediatrics ; methods

Metabonomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues (the metabolome) based on modern analytic technique with high throughput, high sensitivity, and high resolution. Gas chromatography-mass spectrometry (GC-MS) is used to gain qualitative results of detected metabolites for biological samples as it provides superior distinguishability, detection sensitivity and integrated standard mass spectrometry library. In this article, the historic developments of GC-MS and its application in metabonomics in the past several years were reviewed. Firstly, the classification and the derivative methods of GC-MS were introduced. Subsequently, sample pretreatment process, qualitative and quantitative analysis and data analysis during detecting metabolites by GC-MS were introduced, then its application in microorganism, plant and disease diagnosis was systematically summarized. Finally, the problems in metabonomics study based on GC-MS and the research prospect in the future were discussed.
Gas Chromatography-Mass Spectrometry ; methods ; Metabolomics ; methods

Pharmacometabonomics, as an emerging branch of system biology, has been increasingly used in personalized medicine and showed broad prospects. By means of metabonomics, the complicated and detailed metabolic profile of the patient is described, thus providing more detailed description of the disease phenotype. With this understanding, response of different individuals to the drugs are predicted or evaluated through inherent genetic information of the individual combined with the environmental factors. As a result, appropriate drugs and dosage are chosen, which greatly promotes the realization of the individualized therapy goals. This article describes the emerging field of pharmacometabonomics, and the research results of personalized medicine based on the pharmacometabonomics in recent years are reviewed in detail.
Humans ; Metabolome ; Metabolomics ; Pharmacogenetics ; Precision Medicine ; methods

Nuclear magnetic resonance (NMR) spectroscopy can be used to both identify and quantify chemicals from complex mixtures. Over the last several decades, significant technical and experimental advances have made quantitative nuclear magnetic resonance (qNMR) a valuable analytical tool for quantitative measurements of a wide variety of samples. This particular approach is now being exploited to characterize the metabolomes of many different biological samples and is called quantitative metabolomics or targeted metabolic profiling. In this review, some of the strengths, limitations of NMR-based quantitative metabolomics will be discussed as well as the practical considerations necessary for acquisition with an emphasis on their use for bioanalysis. Recent examples of the application of this particular approach to metabolomics studies will be also presented.
Magnetic Resonance Spectroscopy ; Metabolome ; Metabolomics ; methods

With technological advances in high-throughput sequencing, high resolution mass-spectrometry, and multi-omics data integrative tools and data repositories, the omics research in life sciences are evolving from single-omics strategy to multi-omics strategy. The research of system biology driven by multi-omics will bring a new paradigm in life sciences. This paper briefly summarizes the development of genomics, epigenomics, transcriptomics, proteomics and metabolomics, highlights the composition and function of multi-omics platforms as well as the applications of multi-omics technology, and prospects future applications of multi-omics in synthetic biology and biomedicine.
Genomics ; Proteomics/methods* ; Metabolomics/methods* ; Epigenomics/methods* ; Technology

Metabonomics is an important branch of system biology following the development of genomics, transcriptomics and proteomics. It can perform high-throughput detection and data processing with multiple parameters, potentially enabling the identification and quantification of all small metabolites in a biological system. It can be used to provide comprehensive information on the toxicity effects, toxicological mechanisms and biomarkers, sensitively finding the unusual metabolic changes caused by poison. This article mainly reviews application of metabonomics in toxicological studies of abused drugs, pesticides, poisonous plants and poisonous animals, and also illustrates the new direction of forensic toxicology research.
Animals ; Biomarkers ; Forensic Toxicology/methods* ; Humans ; Metabolomics/methods*

Metabolomics is emerging as a powerful tool for studying metabolic processes, identifying crucial biomarkers responsible for metabolic characteristics and revealing metabolic mechanisms, which construct the content of discovery metabolomics. The crucial biomarkers can be used to reprogram a metabolome, leading to an aimed metabolic strategy to cope with alteration of internal and external environments, naming reprogramming metabolomics here. The striking feature on the similarity of the basic metabolic pathways and components among vastly different species makes the reprogramming metabolomics possible when the engineered metabolites play biological roles in cellular activity as a substrate of enzymes and a regulator to other molecules including proteins. The reprogramming metabolomics approach can be used to clarify metabolic mechanisms of responding to changed internal and external environmental factors and to establish a framework to develop targeted tools for dealing with the changes such as controlling and/or preventing infection with pathogens and enhancing host immunity against pathogens. This review introduces the current state and trends of discovery metabolomics and reprogramming metabolomics and highlights the importance of reprogramming metabolomics.
Animals ; Biomarkers ; metabolism ; Cytological Techniques ; Humans ; Metabolomics ; methods

Lipids have been documented to play comprehensive and significant role in many biological processes. As a branch of metabolomics,lipidomics research mainly involves the analysis of the variation of lipid metabolism profiles under different physiologic,pathologic conditions or drug intervention,the discovery of key lipid biomarkers of a disease in lipid metabolic networks,and the study of the mechanism of action of lipid metabolic regulation during disease onset and progression,and drug treatment. Traditional Chinese medicines( TCMs)are characterized with integrated effects by multi-components,multi-targets and integrated effects. It is urgent to develop methods suitable for the study of complex TCMs to reveal the active constituents and integrated mechanism of action. Systems biology such as lipidomics provides valuable strategy and approach to illustrate the complex mechanisms of TCMs. In this paper,in order to provide technical references for TCMs,we have reviewed the analytical techniques applied in lipidomics and the applications of lipidomics in TCMs researches.
Biomarkers ; Lipid Metabolism ; Medicine, Chinese Traditional ; Metabolomics ; methods

In the last decades have emerged new technological platforms that allow evaluation of genes, transcripts, proteins, or metabolites of a living being, so-called omics sciences. More importantly, new technics for their integration have provided access to a complete set of information of the current conditions and features of a specific biological sample in a precise moment. Thus, omic sciences are now considered an essential tool for patient stratification in base to their severity, to understand disease progression and to identify new biomarkers. Severe patients, that are out of control, provide an excellent model to understand disease evolution and to identify new intervention and biomarkers strategies. Here we discuss the use of metabolomics to understand severity in allergic diseases in a strategy that opens new insights as well as identify new biological systems relevant for allergy progression. Metabolomics strategies are based in parallel evaluation of different allergy severity models by mean of untargeted analysis that allows the identification of potential biomarkers. Overlapping of different biomarkers in multiple models, provides information of general as well as specific biological systems involved in each model. Later a selected panel of biomarkers will be used in a target method to explore the diagnosis potential to stratify allergic patients.
Biomarkers ; Diagnosis ; Disease Progression ; Humans ; Hypersensitivity ; Metabolomics ; Methods ; Phenotype