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*

As one of the most active branch disciplines in the systematic biology research field, metabonomics has developed rapidly in recent years and become the research hotspot at home and abroad. The proposal of individualized diagnosis and treatment has emphasized and focused on the effect of internal factors of the human body and individual difference on the diagnosis and treatment of disease. Since metabonomics reflects that under the joint action of genes and the environment, the overall features of individual biological systems and functions states, thus, providing a new train of thought and research platform for studying individualized diagnosis and treatment. Through discussion of the train of thoughts, methods, progress of metabonomics used in studies on individualized difference, we believe that metabonomics technologies have a broad prospect of application in the individualized diagnosis and treatment. It is promising to have significant breakthrough from theory to practice.
Body Constitution ; Humans ; Medicine, Chinese Traditional ; methods ; Metabolomics ; Precision Medicine

In the post-genomic era, biological studies are characterized by the rapid development and wide application of a series of "omics" technologies, including genomics, proteomics, metabolomics, transcriptomics, lipidomics, cytomics, metallomics, ionomics, interactomics, and phenomics. These "omics" are often based on global analyses of biological samples using high through-put analytical approaches and bioinformatics and may provide new insights into biological phenomena. In this paper, the development and advances in these omics made in the past decades are reviewed, especially genomics, transcriptomics, proteomics and metabolomics; the applications of omics technologies in pharmaceutical research are then summarized in the fields of drug target discovery, toxicity evaluation, personalized medicine, and traditional Chinese medicine; and finally, the limitations of omics are discussed, along with the future challenges associated with the multi-omics data processing, dynamics omics analysis, and analytical approaches, as well as amenable solutions and future prospects.
Biomedical Research ; methods ; Gene Expression Profiling ; Genomics ; Metabolomics ; Pharmacology ; Proteomics

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