Visualization of Mental Disorders by Molecular Connectivity with Omics Platform: A Short Review

Emerging evidence indicate various environmental factors include stressors cause mental illness. Currently, unmet medical outcomes and surveillance platform demand in the field of mental disorders to implement of sensitivity associated along with key biomarker in the process of detection, evaluation and validation. The use of omics, based on macromolecule dependent data analysis such as bioinformatics in mental disorders and in a health care assessment platform, has the potential to increase identification of risk genes and treatment option by validate functional efficacy of drug or recovery status of brain function utilize behavioral assessment and metabolomics include neuro-pharmacogenomics study. This concept sounds futuristic but ideal. If the multiple data bases around the world continue to grow, making identification of a strand more likely, then health professional include clinicians and lab scientists could predict the likelihood of a disease outbreak, drug addiction, and the probability of synaptic malfunction that a treatment will work. Being able to stratification of risk gene profile and biomarker monitoring prior to disease dissemination has the potential to greatly diminish the current health care economic burden. However, the implementation in the clinical setting may take time; the therapeutic alternative includes biological and synthetic product will be worth the wait. Herein, to visualize impact of molecular connectivity and dynamics on functional imbalance resulted in phenotypic changes which reflect gene alterations such as single nucleotide polymorphism in several mental disorders, we conducted short review of mental illness which predominantly occurred and unknown causes by visualize identifying risk genes and functional susceptibility in the molecular diagnostic advances using Omics platform. In the future, it is likely that a majority of our treatment and care for patients or personal medicine/population medicine will be based on an omics strategy, molecular based risk assessment tools, as a safe and empower sensitivity to validate potential risk gene or therapeutic gene by adopting early detection risk management such as Integrated Omics.