1.Changes in Metabolic Profile Over Time: Impact on the Risk of Diabetes
Diabetes & Metabolism Journal 2019;43(4):407-409
No abstract available.
Metabolome
2.Metabonomics and its applications.
Jun YANG ; Shuo-Lin SONG ; Jose CASTRO-PEREZ ; Robert S PLUMB ; Guo-Wang XU
Chinese Journal of Biotechnology 2005;21(1):1-5
The concept, characteristics and history of metabonomics are introduced. The techniques used in data acquisition and data analysis in metabonomics including their advantages and disadvantages are summarized. In data acquisition platform, NMR, GC/MS, LC/MS (/MS) are the prevalent techniques although at present, none of them is a perfect technique that could meet with the requirement of the metabonomics for measuring all metabolites. While in data analysis, the PCA, PLS and ANN are the major techniques. The researchers could select them according to the research destination. Recent advances and applications of metabonomics in disease diagnosis, drug toxicity evaluation, plant metabolomics and microbial metabolomics are reviewed. In addition, by giving the situation on the establishment of the related corporations, the conferences about metabonomics and proclamation of NIH roadmap the current boom of the metabonomics is reflected. It can be expected that with the development of the function genomics, metabonomics will play a major role in the discovery of the phynotype of the genome and searching for the disease diagnostic biomarkers, and it will also bring much benefit to the drug discovery, clinical diagnosis and nutrition science.
Humans
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Metabolome
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Metabolomics
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trends
3.Recent advances in metabonomics.
Guo-Wang XU ; Xin LU ; Sheng-Li YANG
Acta Academiae Medicinae Sinicae 2007;29(6):701-711
Metabonomics (or metabolomics) aims at the comprehensive and quantitative analysis of the wide arrays of metabolites in biological samples. Metabonomics has been labeled as one of the new" -omics" joining genomics, transcriptomics, and proteomics as a science employed toward the understanding of global systems biology. It has been widely applied in many research areas including drug toxicology, biomarker discovery, functional genomics, and molecular pathology etc. The comprehensive analysis of the metabonome is particularly challenging due to the diverse chemical natures of metabolites. Metabonomics investigations require special approaches for sample preparation, data-rich analytical chemical measurements, and information mining. The outputs from a metabonomics study allow sample classification, biomarker discovery, and interpretation of the reasons for classification information. This review focuses on the currently new advances in various technical platforms of metabonomics and its applications in drug discovery and development, disease biomarker identification, plant and microbe related fields.
Biomarkers
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Drug Discovery
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Metabolome
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Metabolomics
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trends
4.Advances in research of metabolomics in cancer diagnosis.
Chinese Journal of Oncology 2015;37(2):81-83
Humans
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Metabolome
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Metabolomics
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Neoplasms
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diagnosis
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metabolism
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Research
5.Progress in the personalized medicine using pharmacometabonomics.
Qing HUANG ; Ji-ye A ; Guo-Hua ZHOU
Acta Pharmaceutica Sinica 2014;49(11):1491-1497
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
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Metabolome
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Metabolomics
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Pharmacogenetics
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Precision Medicine
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methods
6.Quantitative metabolomics based on NMR.
Chun-Ying JIANG ; Ying-Hong WANG
Acta Pharmaceutica Sinica 2014;49(7):949-955
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
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Metabolome
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Metabolomics
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methods
7.Research Progress on the Omics of Methamphetamine Toxic Damage and Addiction.
Cui ZHANG ; Xu ZHAO ; Hui-Jun WANG ; Xia YUE
Journal of Forensic Medicine 2021;37(6):776-787
The mechanism of methamphetamine toxicity and addiction is the key research direction of forensic toxicology, and the development of omics technology provides a new platform for further study of this direction. METH toxic damage and addiction are reflected differently in genes, ribonucleic acid (RNA) transcription, protein and metabolism. This article summarizes the achievements and shortcomings of multi-omics technologies such as genome, transcriptome, metabolome and proteome in the study of METH damage and addiction, and discusses the strategies and advantages of multi-omics combined analysis in the study of METH toxic damage and addiction mechanism, in order to provide more useful reference information for forensic toxicology of METH.
Metabolome
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Metabolomics
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Methamphetamine/toxicity*
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Proteome
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Proteomics
8.The relationship between polymorphism of glucose transporter gene and the metabolic profiles such as glucose utilization and insulin secretory capacity in the offsprings of non-insulin dependent diabetic patients.
Hyun Chul LEE ; Young Sik LEE ; Seog Won PARK ; Yoon Sok CHUNG ; Sung Kil LIM ; Kyung Rae KIM ; Kap Bum HUH ; Tae Yeun KIM ; Jung Soo RHIM
Korean Journal of Medicine 1993;45(1):12-24
No abstract available.
Glucose Transport Proteins, Facilitative*
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Glucose*
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Humans
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Insulin*
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Metabolome*
9.Optimization and application of targeted LC-MS metabolomic analyses in photosynthetic cyanobacteria.
Xiangfeng NIU ; Xiaoqing ZHANG ; Xinheng YU ; Yingxue SU ; Lei CHEN ; Weiwen ZHANG
Chinese Journal of Biotechnology 2015;31(4):577-590
To accurately analyze metabolites in industry-important photosynthetic microbes, LC-MS based metabolomics protocol needs to be optimized specifically for individual species. In this study, an LC-MS based metabolomics method was optimized for cyanobacterium Synechocystis sp. PCC 6803. With the optimized extraction, liquid chromatographic and mass spectral parameters, the method was capable of detecting 24 important metabolites related to central carbohydrate and energy metabolism in Synechocystis sp. PCC 6803. The study laid an important foundation for the metabolomics analysis of cyanobacteria.
Chromatography, Liquid
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Mass Spectrometry
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Metabolome
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Metabolomics
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Photosynthesis
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Synechocystis
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metabolism
10.Gut microbiota derived metabolites in cardiovascular health and disease.
Protein & Cell 2018;9(5):416-431
Trillions of microbes inhabit the human gut, not only providing nutrients and energy to the host from the ingested food, but also producing metabolic bioactive signaling molecules to maintain health and elicit disease, such as cardiovascular disease (CVD). CVD is the leading cause of mortality worldwide. In this review, we presented gut microbiota derived metabolites involved in cardiovascular health and disease, including trimethylamine-N-oxide (TMAO), uremic toxins, short chain fatty acids (SCFAs), phytoestrogens, anthocyanins, bile acids and lipopolysaccharide. These gut microbiota derived metabolites play critical roles in maintaining a healthy cardiovascular function, and if dysregulated, potentially causally linked to CVD. A better understanding of the function and dynamics of gut microbiota derived metabolites holds great promise toward mechanistic predicative CVD biomarker discoveries and precise interventions.
Cardiovascular Diseases
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metabolism
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microbiology
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pathology
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Gastrointestinal Microbiome
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Humans
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Metabolome