Literature DB >> 27746310

Personalized medicine: Prediction of disease vulnerability in mood disorders.

Stefania Prendes-Alvarez1, Charles B Nemeroff2.   

Abstract

Personalized or precision medicine is a medical discipline that proposes tailoring health care to each individual by integrating data from their genetic makeup, epigenetic modifications, other biomarkers, clinical symptoms and environmental exposures. Currently, patients typically present for treatment of mood disorders relatively late in the disease course and this is of great concern both because delay in attaining remission reduces the success of subsequent treatment and depressive episodes have negative cumulative effects on the brain and body. In this article we will discuss progress in personalized medicine for predicting disease vulnerability for major depressive disorder and bipolar disorder. We will review non-biological risk factors, genetic factors, epigenetic factors, as well as the roll of neuroimaging and electroencephalograms. Putting together this information will poise psychiatrists to make biological, system-based evaluations for their patients.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Disease vulnerability; Mood disorders; Personalized medicine; Prediction

Mesh:

Year:  2016        PMID: 27746310     DOI: 10.1016/j.neulet.2016.09.049

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  5 in total

1.  Introduction to the Special Issue: Using neuroimaging to probe mechanisms of behavior change.

Authors:  Tammy Chung; Marc Tittgemeyer; Sarah W Feldstein Ewing
Journal:  Neuroimage       Date:  2017-01-17       Impact factor: 6.556

Review 2.  Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review.

Authors:  Jessica L Bourdon; Rachel A Davies; Elizabeth C Long
Journal:  Public Health Genomics       Date:  2020-11-04       Impact factor: 2.000

3.  Levers and barriers to success in the use of translational neuroscience for the prevention and treatment of mental health and promotion of well-being across the lifespan.

Authors:  Sarah R Horn; Philip A Fisher; Jennifer H Pfeifer; Nicholas B Allen; Elliot T Berkman
Journal:  J Abnorm Psychol       Date:  2020-01

4.  Editorial: Children, Adolescents and Families With Severe Mental Illness: Toward a Comprehensive Early Identification of Risk.

Authors:  Andrea Raballo; Frauke Schultze-Lutter; Marco Armando
Journal:  Front Psychiatry       Date:  2021-12-21       Impact factor: 4.157

5.  An Exposure-Wide and Mendelian Randomization Approach to Identifying Modifiable Factors for the Prevention of Depression.

Authors:  Karmel W Choi; Murray B Stein; Kristen M Nishimi; Tian Ge; Jonathan R I Coleman; Chia-Yen Chen; Andrew Ratanatharathorn; Amanda B Zheutlin; Erin C Dunn; Gerome Breen; Karestan C Koenen; Jordan W Smoller
Journal:  Am J Psychiatry       Date:  2020-08-14       Impact factor: 19.242

  5 in total

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