TY - JOUR
T1 - Putative biological predictors of treatment response in bipolar disorders
AU - Gonzalez, Suzanne D.
AU - Williams, Aislinn J.
AU - Blacker, Caren J.
AU - Voort, Jennifer L.Vande
AU - Schak, Kathryn M.
AU - Nemeroff, Charles B.
AU - Widge, Alik S.
AU - Tohen, Mauricio
N1 - Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2017/3
Y1 - 2017/3
N2 - Bipolar disorder (BD) is a debilitating illness that affects millions of Americans each year and is the 6th leading cause of disability in the world. Although standard treatments are available for management of BD, approximately half of all BD patients are either non-adherent or poorly adherent with prescribed medication regimens, resulting in decreased quality of life and increases in relapse rates, costs of care, and suicide attempts. Noncompliance in BD is often related to medication side effects and perceived lack of efficacy, which underscores the importance of trying to improve the "trial and error" process of finding optimal individualized treatments. There is a great need for more specific and sensitive biomarkers for the monitoring of BD treatment response, as well as predictive biomarkers to identify who is most likely to respond to these treatments and to avoid adverse effects. Here, we provide a comprehensive review on the utility of peripheral biomarkers for treatment response in bipolar disorder. We focus on the five most promising key areas for biological predictors of treatment response: 1) cell growth, cell survival, and synaptic plasticity (neurotrophins and growth factors), 2) energy metabolism (oxidative stress and mitochondrial function), 3) inflammation (pro- and anti-inflammatory cytokines), 4) stress response (neuroendocrine response), and 5) peripheral gene expression.
AB - Bipolar disorder (BD) is a debilitating illness that affects millions of Americans each year and is the 6th leading cause of disability in the world. Although standard treatments are available for management of BD, approximately half of all BD patients are either non-adherent or poorly adherent with prescribed medication regimens, resulting in decreased quality of life and increases in relapse rates, costs of care, and suicide attempts. Noncompliance in BD is often related to medication side effects and perceived lack of efficacy, which underscores the importance of trying to improve the "trial and error" process of finding optimal individualized treatments. There is a great need for more specific and sensitive biomarkers for the monitoring of BD treatment response, as well as predictive biomarkers to identify who is most likely to respond to these treatments and to avoid adverse effects. Here, we provide a comprehensive review on the utility of peripheral biomarkers for treatment response in bipolar disorder. We focus on the five most promising key areas for biological predictors of treatment response: 1) cell growth, cell survival, and synaptic plasticity (neurotrophins and growth factors), 2) energy metabolism (oxidative stress and mitochondrial function), 3) inflammation (pro- and anti-inflammatory cytokines), 4) stress response (neuroendocrine response), and 5) peripheral gene expression.
KW - Biomarkers
KW - Bipolar disorder
KW - Cytokines
KW - Hypothalamic-pituitary-adrenal (HPA) axis
KW - Neurotrophins
KW - Oxidative stress
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U2 - 10.1016/j.pmip.2016.11.003
DO - 10.1016/j.pmip.2016.11.003
M3 - Review article
AN - SCOPUS:85075073559
SN - 2468-1717
VL - 1-2
SP - 39
EP - 58
JO - Personalized Medicine in Psychiatry
JF - Personalized Medicine in Psychiatry
ER -