Stressors are one of several environmental variables, which lead to mental illness. The adoption of sensitivity related with important biomarkers in the detection, assessment, and validation procedures is now necessary due to unmet medical outcomes and monitoring platforms in the field of mental diseases. By validating the functional efficacy of medications or the state of brain function recovery using behavioural assessment and metabolomics, which includes a neuro-pharmacogenomics study, the use of omics in mental disorders and in a health care assessment platform based on macromolecule-dependent data analysis, such as bioinformatics, has the potential to increase the identification of risk genes and treatment options. Though it might seem futuristic, this idea is excellent. Health professionals like clinicians and lab scientists will be able to forecast the likelihood of a disease outbreak, drug addiction, and synaptic malfunction, as well as the likelihood that a treatment will be effective, if numerous databases around the world continue to expand, increasing the likelihood of identifying a strand. The therapeutic alternative, which consists of biological and synthetic components, will be well worth the wait even though practical acceptance would take some time. In this article, we provide a brief overview of mental disorders with unclear etiologies through the visualisation of risk genes and functional vulnerability in the creation of molecular diagnostics using the Omics platform. The Omics platform’s potential uses in the future illuminated the space for biomarker discovery, innovation, and the evaluation of assessment techniques for the treatment of mental health illnesses in a clinical context appears promise.

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.

Please see the link here: https://stm.bookpi.org/CPMS-V4/article/view/7369

Keywords: Environmental factors, neuro-pharmacogenomics, metabolomics, biomarker, molecular diagnostic.