Literature DB >> 26337255

Current Trends and Innovations in Bioanalytical Techniques of Metabolomics.

Tianlei Zhang1, Aihua Zhang1, Shi Qiu1, Suqing Yang1, Xijun Wang1.   

Abstract

The advancement of omics technology has vigorously promoted the development of the life sciences; metabolomics in particular has emerged as a powerful tool that has a promising future in scientific research and clinical practice. As terminal products of complex biochemical networks, endogenous low-molecular-weight metabolites contain rich information about the physiological status of an individual or group of people. Also, this information has more practical significance in that we know "what happened" instead of "what might happen" to some degree. Rapid and accurate screening of metabolites on a large scale was beyond imagining in the past; however, benefiting from high-throughput technical means, the overall disturbance of metabolites induced by environmental stimulus or treatments can now be well analyzed. After appropriate bioinformatic analysis, clinically relevant biomarkers of a disease can be found, and an accurate and dynamic picture of metabolic disturbance that contributes to a phenotype of a certain organism can be constructed. Biomarkers can also reveal the general metabolic condition by pathways that correlate with disease progression, or even with the risk of certain diseases. Thus, as an indispensable part of the framework of systems biology, metabolomics has been widely used in, but not limited to, the fields of medical science, pharmaceuticals, botany, and microbiology. In this article, we focus on metabolomics' mainstream research content and technical innovations such as determination methods for biologically active compounds; further, we pay more attention to the future trends and various possibilities for metabolomics study.

Entities:  

Keywords:  Identification; mass spectrometry; metabolomics; principal component analysis

Mesh:

Substances:

Year:  2015        PMID: 26337255     DOI: 10.1080/10408347.2015.1079475

Source DB:  PubMed          Journal:  Crit Rev Anal Chem        ISSN: 1040-8347            Impact factor:   6.535


  9 in total

1.  High-throughput liquid chromatography mass-spectrometry-driven lipidomics discover metabolic biomarkers and pathways as promising targets to reveal the therapeutic effects of the Shenqi pill.

Authors:  Wen-Xiu Li; Ai-Hua Zhang; Xiao-Hang Zhou; Yang Nan; Qi Liu; Hui Sun; Heng Fang; Xi-Jun Wang
Journal:  RSC Adv       Date:  2020-01-13       Impact factor: 4.036

2.  Metabolomics-driven identification of perturbations in amino acid and sphingolipid metabolism as therapeutic targets in a rat model of anorexia nervosa disease using chemometric analysis and a multivariate analysis platform.

Authors:  Hong Yao; Peng-Cheng Yu; Chun-Ming Jiang
Journal:  RSC Adv       Date:  2020-01-29       Impact factor: 4.036

3.  Exploring metabolic biomarkers and regulation pathways of acute pancreatitis using ultra-performance liquid chromatography combined with a mass spectrometry-based metabolomics strategy.

Authors:  Jiajia Guo; Xuesong Li; Donghong Wang; Yuekun Guo; Ting Cao
Journal:  RSC Adv       Date:  2019-04-17       Impact factor: 4.036

4.  Metabolomics: a promising diagnostic and therapeutic implement for breast cancer.

Authors:  Zhanghan Chen; Zehuan Li; Haoran Li; Ying Jiang
Journal:  Onco Targets Ther       Date:  2019-08-21       Impact factor: 4.147

Review 5.  Gut microbiota as important modulator of metabolism in health and disease.

Authors:  Xiang-Qian Wang; Ai-Hua Zhang; Jian-Hua Miao; Hui Sun; Guang-Li Yan; Fang-Fang Wu; Xi-Jun Wang
Journal:  RSC Adv       Date:  2018-12-19       Impact factor: 4.036

6.  Functional metabolomics using UPLC-Q/TOF-MS combined with ingenuity pathway analysis as a promising strategy for evaluating the efficacy and discovering amino acid metabolism as a potential therapeutic mechanism-related target for geniposide against alcoholic liver disease.

Authors:  Shi Qiu; Ai-Hua Zhang; Yu Guan; Hui Sun; Tian-Lei Zhang; Ying Han; Guang-Li Yan; Xi-Jun Wang
Journal:  RSC Adv       Date:  2020-01-15       Impact factor: 4.036

7.  Exploring potential biomarkers of coronary heart disease treated by Jing Zhi Guan Xin Pian using high-throughput metabolomics.

Authors:  Hui Sun; Xue-Na Li; Ai-Hua Zhang; Kun-Ming Zhang; Guang-Li Yan; Ying Han; Fang-Fang Wu; Xi-Jun Wang
Journal:  RSC Adv       Date:  2019-04-11       Impact factor: 4.036

8.  Using high-throughput metabolomics to discover perturbed metabolic pathways and biomarkers of allergic rhinitis as potential targets to reveal the effects and mechanism of geniposide.

Authors:  Yan-Li Zhang; Peng-Cheng Yu; Peng Liu
Journal:  RSC Adv       Date:  2019-06-04       Impact factor: 4.036

9.  Identification of the Perturbed Metabolic Pathways Associating With Renal Fibrosis and Evaluating Metabolome Changes of Pretreatment With Astragalus polysaccharide Through Liquid Chromatography Quadrupole Time-Of-Flight Mass Spectrometry.

Authors:  Lei Ren; Xiao-Ying Guo; Fei Gao; Mei-Li Jin; Xiang-Nan Song
Journal:  Front Pharmacol       Date:  2020-01-29       Impact factor: 5.810

  9 in total

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