Journal of Metabolomics & Systems Biology

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Metabolomics: How it can be applied in Infectious Medicine?

Viroj Wiwanitkit*

  • 1Public Health Curriculum, Surin Rajabhat University, Surin 33000, Thailand
  • 2Dr. D.Y. Patil Medical University, Pune, India

*Address for Correspondence Viroj Wiwanitkit, Public Health Curriculum, Surin Rajabhat University, Surin 33000, Thailand, Email:
Wiwanitkit V. Metabolomics: How it can be applied in Infectious Medicine? J Metabol Sys Biol. 2015;2(1): 2.
Copyright © 2014 Wiwanitkit V. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Journal of Metabolomics & Systems Biology | ISSN: 2329-1583 | Volume: 2, Issue: 1
Submission: 02 October, 2015 | Accepted: 12 October, 2015 | Published: 16 October, 2015
Reviewed & Approved by: Dr. Yi-Lei Zhao, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University,China

Bioinformatics becomes a very useful scientific technology at present. It can be applied in several purposes including to medicine. In medicine, the well-known genomics and proteomics have been widely applied in diagnostic and therapeutic researches [1]. However, the new generation of “omics” such as metabolomics is limited mentioned. In fact, metabolomics can be very useful in clarification and prediction of the question on “metabolome”. Vinayavekhin et al. noted that “metabolomics offers unique insights into small molecule regulation and signaling in biology [2]". The application in infectious medicine is an actual challenge. Few reports have been published for a few years. Peng et al. noted that “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 [3].” To understand the disease, several metabolites including “amino acids, organic acids, carbohydrates, nucleosides, lipids, fatty acids, and derivatives” can be traced [4]. However, the big present obstacle is the lack for complete metabolic profile in several diseases. Identification of such profile, database setting and development of new in silico metabolomics tool can be the next step for archiving the success in metabolomics application in infectious medicine.