Visualization of Mental Disorders by Molecular Connectivity with Omics Platform: A Short Review | Chapter 9 | New Frontiers in Medicine and Medical Research Vol. 13

According to new findings, a variety of environmental factors, including stressors, contribute to mental illness. Unmet medical outcomes and monitoring platforms in the field of mental illnesses currently necessitate the implementation of sensitivity associated with key biomarkers in the detection, evaluation, and validation processes. The use of omics in mental disorders and in a health care assessment platform, which is based on macromolecule dependent data analysis such as bioinformatics, has the potential to increase identification of risk genes and treatment options by validating functional efficacy of drugs or recovery status of brain function using behavioural assessment and metabolomics, which includes a neuro-pharmacogenomics study. This notion may appear futuristic, but it is great. If multiple data bases around the world continue to grow, increasing the likelihood of identifying a strand, health professionals such as clinicians and lab scientists will be able to predict the likelihood of a disease outbreak, drug addiction, and synaptic malfunction, as well as the likelihood that a treatment will work. The ability to stratify risk gene profiles and monitor biomarkers prior to illness spread has the potential to considerably reduce the existing health-care economic load. Nonetheless, practical application may take some time; however, the therapeutic option, which incorporates biological and synthetic products, will be well worth the wait. In order to visualise the impact of molecular connectivity and dynamics on functional imbalance that results in phenotypic changes that reflect gene alterations such as single nucleotide polymorphism in several mental disorders, we conducted a brief review of mental illness that primarily occurred and had unknown causes by visualising risk genes and functional susceptibility in the molecular diagnostic system. In the future, it's likely that the majority of our patient treatment and care, as well as personal medicine and population medicine, will be based on an omics strategy, molecular-based risk assessment tools, as a safe and powerful way to validate potential risk genes or therapeutic genes by using early detection risk management techniques like Integrated Omics.

Author (S) Details

Elizabeth Heroux
Department of Public Health, Division of Environmental Health Science, New York Medical College, USA.

Aminata Musa
Department of Public Health, Division of Environmental Health Science, New York Medical College, USA.

Jae-Hyeon Cho
Institute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Korea.

Diane E. Heck
Department of Public Health, Division of Environmental Health Science, New York Medical College, USA.

Hong-Duck Kim
Department of Public Health, Division of Environmental Health Science, New York Medical College, USA.

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