Metabonomics is a powerful omics tool that combines different strategies to provide mechanistic insights into the etiology of various psychiatric disorders. As a pioneer in psychiatric disease research, Creative Biolabs offers custom-tailored metabolomics services and provides metabolic profiling including comprehensive metabolite identification, quantification, and analysis for worldwide customers to promote your psychiatric disease research.
Metabolomics refers to the systematic identification and quantification of the small molecule metabolic products (namely metabolome) of a biological system such as cell, tissue, organ or biological fluid at a specific point in time, providing comprehension of complex interactions between genotype and phenotype. It is highly useful for understanding how cells and thus the whole organisms function in health and diseases. Most data on all metabolites from a single sample are obtained from different analytical platforms. Among various analytical techniques, mass spectrometry (MS), chromatography and nuclear magnetic resonance (NMR) are basic strategies for metabolomics.
Fig.1 Overview of different omics-sciences. (Steuer, 2019)
Metabolomics offers a novel approaches in dissecting psychiatric disorders, since these data-driven instead of hypothesis-driven methods might identify new targets, molecules and pathways responsible for the development of psychiatric diseases such as schizophrenia, depression and posttraumatic stress disorder (PTSD). Different kinds of biofluids could be used in metabolomics while platelets and cerebrospinal fluid are the most commonly used for human metabolomic studies of psychiatric diseases.
Targeted metabolomic approaches to schizophrenia revealed five metabolites: higher concentration of ornithine, lower concentration of arginine, histidine, glutamine, and one lipid (PC ae C38:6). They could be used as biomarkers of schizophrenia since they were significantly different from values in controls and were not affected by antipsychotic medication. Besides, detailed metabolomic studies indicated that pathways involved in glucoregulation and proline metabolism were affected in schizophrenia. These studies confirmed the usefulness of metabolomics as a powerful tool in dissecting illness mechanisms or pathways of schizophrenia.
Altered metabolite levels in depression include increased plasma monoglycerophospholipids, lysophospholipids, and phosphatidyle-thanolamines, decreased levels of free fatty acids, tryptophan, tyrosine, N-methylnicotinamide and so forth. Additionally, metabolites from tryptophan, tyrosine and methionine pathways might be useful for differentiation between remitted and non-remitted depression. One preliminary study analyzed metabolites in a small number of PTSD subjects and the study finally revealed 13 changed metabolites. Schizophrenia and depression share only two metabolites, glycine and glutamate, which are both increased in these disorders. Palmitic amide was the only shared metabolite decreased in both depression and PTSD.
For Creative Biolabs, measuring the metabolic profile of your biological samples is as simple as sending in your samples. We will first deal with your samples, and then run the analysis, process the data, perform statistical analysis, and identify the compounds. After the analysis, you will get a comprehensive visual report of the results. We will use our expertise to help you interpret the results and provide you with actionable recommendations on how to utilize these results in your research.
By applying state-of-the-art technology systems and techniques, Creative Biolabs offers validated metabolomics workflows including:
As an additional customer service, we can help you to integrate the metabolomic data with your other data or create customized reports and visualizations for you. Other available services include:
Measuring the metabolic profile of your biological samples can be helpful for virtually any study or R&D question. Please contact us and together we can design a study that will help you achieve your goals!
Reference