Document Type : Review Article
Authors
1 Department of Biology, Faculty of Basic Sciences, Azarbaijan Branch, Azarbaijan Shahid Madani University, Azarbaijan, Iran.
2 Department of Biology, Faculty of Basic Sciences, East-Tehran Branch, Islamic Azad University, Tehran, Iran.
3 Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
4 3Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, 8816954615 Shahrekord, Iran 4Sina Borna Aria (SABA) Co., Ltd., Research and Development Center for Biotechnology, 8815943157 Shahrekord, Iran 5Parsian Bioproducers
Abstract
Variability in medication reactions and illness susceptibility among individuals is often seen in clinical settings. Personalized medicine is now highly esteemed for its focus on prescribing the appropriate medication to each patient. Metabolomics is a developing field that thoroughly assesses all metabolite and low-molecular-weight compounds in a biological sample. Metabolic profiling offers a quick overview of a cell's physiology, making the technique a direct indicator of an organism's physiological condition. Quantifiable correlations exist between the metabolome and other cellular components such as the genome, transcriptome, proteome, and lipidome. These correlations can be utilized to forecast metabolite levels in biological samples based on mRNA levels. One of the key problems in systems biology is to incorporate metabolomics with other -omics data to enhance comprehension of cellular biology. Metabolomics is used to assess the effectiveness of clinical substances by analyzing the metabolic characteristics of patients before treatment to predict their responses (pharmacometabolomic) and to identify individuals at risk of developing diseases (patient stratification). The rapid progress in metabolomics technique highlights its significant potential for use in customized treatment. We reviewed the unique benefits of metabolomics, including instances in assessing medication treatment and individual stratification, and emphasized metabolomics' promise in personalized medicine.
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Main Subjects
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