Metabolomic Interactions: An Insight into Health and Disease
Maheswara Reddy Mallu *
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.
Shaik Mohammad Anjum
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.
Sai Sri Samyutha Katravulapalli
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.
Sri Sai Priya Avuthu
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.
Koteswara Reddy Gujjula
Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.
Suryanarayana Veeravilli
Department of Humanities and Basic Sciences, Aditya Engineering College, Kakinada, Andhra Pradesh, India.
Anupama Ammulu Manne
Department of Civil Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
Over the past decade, metabolic engineering has emerged as an active and distinct discipline characterized by its over-arching emphasis on integration. In practice, metabolic engineering is the directed improvement of cellular properties through the application of modern genetic methods. The concept of metabolic regulations deals with the varied and innumerable metabolic pathways that are present in the human body. A combination of such metabolic reactions paves the way to the proper functioning of different physiological and biological processes. Dealing with the adversities of a disease, engineering of novel metabolic pathways showcases the potential of metabolic engineering and its application in the therapeutic treatment of diseases. A proper and deeper understanding of the metabolic functions in the human body can be known from simulated yeast models. This review gives a brief understanding about the interactions between the molecular set of metabolome and its complexity.
Keywords: Metabolome, metabolic engineering, microbiota, microbiome, metagenomics