A tight regulation of hypothalamic-pituitary-adrenal (HPA) axis activity is essential for successful adaptation to stressful stimuli. Disruption of normal HPA axis development is a main risk factor for diseases such as posttraumatic stress disorder or depression, but the molecular mechanisms that lead to these long-term consequences are poorly understood. Here, we test the hypothesis that the pituitary glucocorticoid receptor (GR) is involved in regulating HPA axis function in neonatal and adult animals. Furthermore, we investigate whether postnatal hypercortisolism induced by pituitary GR deficiency is a main factor contributing to the persistent effects of early-life stress. Conditional knockout mice with a deletion of the GR at the pituitary (GR(POMCCre)) show excessive basal corticosterone levels during postnatal development, but not in adulthood. The hypercortisolemic state of neonatal GR(POMCCre) mice is accompanied by central gene expression changes of CRH and vasopressin in the paraventricular nucleus, but these alterations normalize at later ages. In adult mice, pituitary GR deficiency results in impaired glucocorticoid negative feedback. Furthermore, adult GR(POMCCre) mice display a more active coping strategy in the forced swim test, with no alterations in anxiety like behavior or cognitive functions. Postnatal GR antagonist treatment is able to prevent the long-term behavioral effects in GR(POMCCre) mice. In conclusion, we show that pituitary GRs are centrally involved in regulating HPA axis activity in neonates and mediate negative feedback regulation in adult animals. Postnatal glucocorticoid excess results in an altered stress-coping behavior in adult animals, with no effects on anxiety like behavior or cognition.
In the past, analysis of micron-sized (>1.0 μm) aggregates of therapeutic proteins has been limited to light obscuration (LO), and appropriate quantitative methods of evaluating protein aggregates need to be developed. Recently, novel methods with enhanced reliability and sensitivity, such as nanoparticle tracking analysis (NTA), resonant mass measurement (RMM), and flow imaging (FI), have emerged. We have found that quantitative laser diffraction (qLD) is also effective for quantitative evaluation of protein aggregates over a wide size range. However, the different detection principles of the methods potentially lead to inconsistencies in results. This study aimed to compare particle size distributions and concentrations of protein aggregates using the orthogonal methods. Protein aggregates were generated by stirring an immunoglobulin solution. Serial dilutions of the aggregates stock were analyzed by RMM, FI, and qLD to obtain the particle size distribution and concentration using each method. In addition, size distribution of a protein aggregates solution was compared by RMM, NTA, FI, LO, and qLD. Both particle size distribution and concentration were in good agreement between RMM and qLD (0.3-2 μm) and between FI and qLD (2-20 μm). Thus, we concluded that qLD enables covering of the overlapping particle size range between RMM and FI.
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