scholarly journals Understanding the Regulation of Transcription in Mental Illness

OBM Genetics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 1-1
Author(s):  
Sean J. O’Sullivan ◽  
◽  

Advances in clinical psychiatry have been less than hoped for relative to the achievements in neuroscience. However, developments in neuromodulation and psychedelic therapy are promising. The efficacy of such treatments and canonical pharmacotherapies benefit from genetics and personalized medicine. Moreover, recent studies on the perturbation of transcription, including chromatin remodeling, in mental illness emphasized the importance of single-cell qPCR as an investigatory method that bolstered psychiatry. This technique demonstrated chromatin remodeling as a biomarker for addiction and the underlying mechanism of depression. If personalized medicine, along with canonical and newer therapies, can mediate and regulate transcription, epidemics in depression and addiction can be mitigated. This motivates investigators to continue to use single-cell transcription measures in models of mental illness for translational medicine.

2018 ◽  
Vol 24 (1) ◽  
pp. 124-125
Author(s):  
Masturah Bte Mohd Abdul Rashid ◽  
Edward Kai-Hua Chow

Artificial intelligence holds great promise in transforming how drugs are designed and patients are treated. In a study recently published in Science Translational Medicine, a unique artificial intelligence platform makes efficient use of small experimental datasets to design new drug combinations as well as identify the best drug combinations for specific patient samples. This quadratic phenotypic optimization platform (QPOP) does not rely on previous assumptions of molecular mechanisms of disease, but rather uses system-specific experimental data to determine the best drug combinations for a specific disease model or a patient sample. In this commentary, we explore how QPOP was applied toward multiple myeloma in the study. We also discuss how this study demonstrates the potential for applications of QPOP toward improving therapeutic regimen design and personalized medicine.


AI & Society ◽  
2021 ◽  
Author(s):  
Antonio Carnevale ◽  
Emanuela A. Tangari ◽  
Andrea Iannone ◽  
Elena Sartini

Sign in / Sign up

Export Citation Format

Share Document