| Literature DB >> 30267149 |
Tilo Kircher1,2, Markus Wöhr3,4, Igor Nenadic5,3, Rainer Schwarting3,4, Gerhard Schratt6, Judith Alferink7, Carsten Culmsee3,8, Holger Garn9, Tim Hahn7, Bertram Müller-Myhsok10, Astrid Dempfle11, Maik Hahmann12, Andreas Jansen5,3,13, Petra Pfefferle14, Harald Renz9, Marcella Rietschel15, Stephanie H Witt15, Markus Nöthen16, Axel Krug5,3, Udo Dannlowski7.
Abstract
Genetic (G) and environmental (E) factors are involved in the etiology and course of the major psychoses (MP), i.e. major depressive disorder (MDD), bipolar disorder (BD), schizoaffective disorder (SZA) and schizophrenia (SZ). The neurobiological correlates by which these predispositions exert their influence on brain structure, function and course of illness are poorly understood. In the FOR2107 consortium, animal models and humans are investigated. A human cohort of MP patients, healthy subjects at genetic and/or environmental risk, and control subjects (N = 2500) has been established. Participants are followed up after 2 years and twice underwent extensive deep phenotyping (MR imaging, clinical course, neuropsychology, personality, risk/protective factors, biomaterials: blood, stool, urine, hair, saliva). Methods for data reduction, quality assurance for longitudinal MRI data, and (deep) machine learning techniques are employed. In the parallelised animal cluster, genetic risk was introduced by a rodent model (Cacna1c deficiency) and its interactions with environmental risk and protective factors are studied. The animals are deeply phenotyped regarding cognition, emotion, and social function, paralleling the variables assessed in humans. A set of innovative experimental projects connect and integrate data from the human and animal parts, investigating the role of microRNA, neuroplasticity, immune signatures, (epi-)genetics and gene expression. Biomaterial from humans and animals are analyzed in parallel. The FOR2107 consortium will delineate pathophysiological entities with common neurobiological underpinnings ("biotypes") and pave the way for an etiologic understanding of the MP, potentially leading to their prevention, the prediction of individual disease courses, and novel therapies in the future.Entities:
Keywords: Animal model; Cohort study; Course of illness; Etiology; Mental disorder
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Year: 2018 PMID: 30267149 DOI: 10.1007/s00406-018-0943-x
Source DB: PubMed Journal: Eur Arch Psychiatry Clin Neurosci ISSN: 0940-1334 Impact factor: 5.270