211. Prenatal Stress Leads to Sex-Specific Changes in Behavior, Inflammation, and Serotonergic Dysfunction: Relevance to Psychiatric Disorders

2018 ◽  
Vol 83 (9) ◽  
pp. S85 ◽  
Author(s):  
Tamar Gur ◽  
Therese Rajasekera ◽  
Aditi Vadodkar ◽  
Jacob Allen ◽  
Michael Bailey
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Helen J. Chen ◽  
Adrienne M. Antonson ◽  
Therese A. Rajasekera ◽  
Jenna M. Patterson ◽  
Michael T. Bailey ◽  
...  

1984 ◽  
Vol 7 ◽  
pp. S154 ◽  
Author(s):  
D. L. Murphy ◽  
E. A. Mueller ◽  
T. Insel ◽  
L. J. Siever ◽  
C. Aulakh ◽  
...  

2019 ◽  
Vol 85 (10) ◽  
pp. S17
Author(s):  
Tamar Gur ◽  
Helen Chen ◽  
Adrienne Antonson ◽  
Therese Rajasekera ◽  
Michael Bailey

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
S. Claes ◽  
D. van West ◽  
J. Del-Favero ◽  
D. Deboutte

Aims:Prenatal stress has been associated with lifelong disturbances in stress response systems and with an increased vulnerability for psychiatric disorders. However, the effect of prenatal stress is at least partially determined by individual genetic makeup. Recent data confim the potential role of the glucocorticoid receptor (GR) gene in modulating stress response and in the liability to develop mood disorders. In genetic association studies, single nucleotide polymorphisms (SNPs) in the GR gene were linked to variation in stress response systems (1). In a preliminary investigation, we studied 106 prepubertal children to estimate the impact of four GR gene polymorphisms on cortisol responses after a psychosocial stress test.Results:Carriers of the ER22/23EK mutation displayed significant lower cortisol responses to psychosocial stress compared to noncarriers. This particular polymorphism has earlier been associated to the vulnerability to develop MDD by our own research group (2) and independently by another publication (3).Conclusion:These findings support the relevance of GR gene polymorphisms in general and of the ER22/23EK polymorphism in particular in HPA axis regulation and in the vulnerability for psychiatric disorders.


2018 ◽  
Vol 30 (3) ◽  
pp. 743-762 ◽  
Author(s):  
Bea R. H. Van den Bergh ◽  
Robert Dahnke ◽  
Maarten Mennes

AbstractThe prenatal period is increasingly considered as a crucial target for the primary prevention of neurodevelopmental and psychiatric disorders. Understanding their pathophysiological mechanisms remains a great challenge. Our review reveals new insights from prenatal brain development research, involving (epi)genetic research, neuroscience, recent imaging techniques, physical modeling, and computational simulation studies. Studies examining the effect of prenatal exposure to maternal distress on offspring brain development, using brain imaging techniques, reveal effects at birth and up into adulthood. Structural and functional changes are observed in several brain regions including the prefrontal, parietal, and temporal lobes, as well as the cerebellum, hippocampus, and amygdala. Furthermore, alterations are seen in functional connectivity of amygdalar–thalamus networks and in intrinsic brain networks, including default mode and attentional networks. The observed changes underlie offspring behavioral, cognitive, emotional development, and susceptibility to neurodevelopmental and psychiatric disorders. It is concluded that used brain measures have not yet been validated with regard to sensitivity, specificity, accuracy, or robustness in predicting neurodevelopmental and psychiatric disorders. Therefore, more prospective long-term longitudinal follow-up studies starting early in pregnancy should be carried out, in order to examine brain developmental measures as mediators in mediating the link between prenatal stress and offspring behavioral, cognitive, and emotional problems and susceptibility for disorders.


2019 ◽  
Vol 42 ◽  
Author(s):  
Hanna M. van Loo ◽  
Jan-Willem Romeijn

AbstractNetwork models block reductionism about psychiatric disorders only if models are interpreted in a realist manner – that is, taken to represent “what psychiatric disorders really are.” A flexible and more instrumentalist view of models is needed to improve our understanding of the heterogeneity and multifactorial character of psychiatric disorders.


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