Biological hypotheses and biomarkers of bipolar disorder
Jazyk angličtina Země Austrálie Médium print-electronic
Typ dokumentu časopisecké články, přehledy
PubMed
27800654
DOI
10.1111/pcn.12476
Knihovny.cz E-zdroje
- Klíčová slova
- bipolar disorder, hypothesis, mitochondrial dysfunction, neuroinflammation, neuroplasticity,
- MeSH
- biologické markery krev MeSH
- bipolární porucha krev diagnóza MeSH
- cytokiny krev MeSH
- lidé MeSH
- mezibuněčné signální peptidy a proteiny krev MeSH
- mitochondrie metabolismus MeSH
- oxidační stres fyziologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- Názvy látek
- biologické markery MeSH
- cytokiny MeSH
- mezibuněčné signální peptidy a proteiny MeSH
The most common mood disorders are major depressive disorders and bipolar disorders (BD). The pathophysiology of BD is complex, multifactorial, and not fully understood. Creation of new hypotheses in the field gives impetus for studies and for finding new biomarkers for BD. Conversely, new biomarkers facilitate not only diagnosis of a disorder and monitoring of biological effects of treatment, but also formulation of new hypotheses about the causes and pathophysiology of the BD. BD is characterized by multiple associations between disturbed brain development, neuroplasticity, and chronobiology, caused by: genetic and environmental factors; defects in apoptotic, immune-inflammatory, neurotransmitter, neurotrophin, and calcium-signaling pathways; oxidative and nitrosative stress; cellular bioenergetics; and membrane or vesicular transport. Current biological hypotheses of BD are summarized, including related pathophysiological processes and key biomarkers, which have been associated with changes in genetics, systems of neurotransmitter and neurotrophic factors, neuroinflammation, autoimmunity, cytokines, stress axis activity, chronobiology, oxidative stress, and mitochondrial dysfunctions. Here we also discuss the therapeutic hypotheses and mechanisms of the switch between depressive and manic state.
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