Ritcha Saxena1*, Ritwik Saxena2 and Ananya Raj2
1Department of Pathology, Medical University of the Americas, Nevis, West Indies
2Department of Biomedical Engineering, Delhi Technological University, Delhi, India
*Corresponding Author: Ritcha Saxena, Ex-Professor, Department of Pathology, Medical University of the Americas, Nevis, West Indies.
Received: May 29, 2018; Published: July 12, 2018
Citation: Ritcha Saxena., et al. "Microbiomics in the Molecular Era: A Bird’s Eye View into the Future of Personalized Medicine”. Acta Scientific Microbiology 1.8 (2018).
Humans, like all other complex living beings, nurture trillions of microbiological cells within, and on the surface of, their bodies which they acquire from their environment right from their time in the womb, to their entry into their tomb. These living cells are termed as our microbiota, and their totality, when seen in their genotypical and phenotypical entity, is called the microbiome. The current paradigm of personalized medicine is heavily reliant on the variation in human host genomics. Research has proven that human microbiome varies from individual to individual to a much higher degree compared to the host genome, rendering it more individualized. This has behooved engendering a new shift in the personalized medicine modality from its current focus to a multi-omics approach, which encompasses not just microbiomics as one of its principal reinforcers, but also metabolomics and proteomics. The ambitious projects to decode human microbiome and mapping it to various faucets human health and disease with completeness or near completeness, in spite of the mighty volume of their task, which aim for goals much more complicated than the Human Genome Project, throw a light of promise on an already optimistic future of personalized medicine.
Keywords: Microbiota; Microbiogenomics; Personalized Medicine; Human Genome; Bioinformatics; Pharmacogenomics
Copyright: © 2018 Ritcha Saxena., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.