| Literature DB >> 30864501 |
Carmine Tomasetti1,2,3, Chiara Montemitro4, Annastasia L C Fiengo5, Cristina Santone1, Laura Orsolini2,6, Alessandro Valchera2,7, Alessandro Carano8, Maurizio Pompili9, Gianluca Serafini10, Giampaolo Perna11,12,13, Federica Vellante4, Giovanni Martinotti4, Massimo D Giannantonio4, Yong-Ku Kim14, Marco D Nicola15, Antonello Bellomo16, Antonio Ventriglio16, Michele Fornaro3, Domenico D Berardis4,17.
Abstract
Depressive disorders represent protean psychiatric illnesses with heterogeneous clinical manifestations and a multitude of comorbidities leading to severe disability. In spite of decades of research on the pathophysiogenesis of these disorders, the wide variety of pharmacotherapies currently used to treat them is based on the modulation of monoamines, whose alteration has been considered the neurobiological foundation of depression, and consequently of its treatment. However, approximately one third to a half of patients respond partially or become refractory to monoamine-based therapies, thereby jeopardizing the therapeutic effectiveness in the real world of clinical practice. Recent scientific evidence has been pointing out the essential role of other biological systems beyond monoamines in the pathophysiology of depressive disorders, in particular, the glutamatergic neurotransmission. In the present review, we will discuss the most advanced knowledge on the involvement of glutamatergic system in the molecular mechanisms at the basis of depression pathophysiology, as well as the glutamate-based therapeutic strategies currently suggested to optimize depression treatment (e.g., ketamine). Finally, we will mention further "neurobiological targeted" approaches, based on glutamate system, with the purpose of promoting new avenues of investigation aiming at developing interventions that overstep the monoaminergic boundaries to improve depressive disorders therapy. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.Entities:
Keywords: Depressive disorders; NMDA; antidepressants; antipsychotics; glutamate; ketamine; mGluR; postsynaptic density.
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Year: 2019 PMID: 30864501 DOI: 10.2174/1381612825666190312102444
Source DB: PubMed Journal: Curr Pharm Des ISSN: 1381-6128 Impact factor: 3.116