1.Development of Human in vitro Brain-blood Barrier Model from Induced Pluripotent Stem Cell-derived Endothelial Cells to Predict the in vivo Permeability of Drugs.
Yuan LI ; Xueying SUN ; Houfu LIU ; Liang HUANG ; Guofeng MENG ; Yu DING ; Wenji SU ; Jiaqi LU ; Sophie GONG ; Georg C TERSTAPPEN ; Ru ZHANG ; Wandong ZHANG
Neuroscience Bulletin 2019;35(6):996-1010
An in vitro blood-brain barrier (BBB) model is critical for enabling rapid screening of the BBB permeability of the drugs targeting on the central nervous system. Though many models have been developed, their reproducibility and renewability remain a challenge. Furthermore, drug transport data from many of the models do not correlate well with the data for in vivo BBB drug transport. Induced-pluripotent stem cell (iPSC) technology provides reproducible cell resources for in vitro BBB modeling. Here, we generated a human in vitro BBB model by differentiating the human iPSC (hiPSC) line GM25256 into brain endothelial-type cells. The model displayed BBB characteristics including tight junction proteins (ZO-1, claudin-5, and occludin) and endothelial markers (von Willebrand factor and Ulex), as well as high trans-endothelial electrical resistance (TEER) (1560 Ω.cm ± 230 Ω.cm) and γ-GTPase activity. Co-culture with primary rat astrocytes significantly increased the TEER of the model (2970 Ω.cm to 4185 Ω.cm). RNAseq analysis confirmed the expression of key BBB-related genes in the hiPSC-derived endothelial cells in comparison with primary human brain microvascular endothelial cells, including P-glycoprotein (Pgp) and breast cancer resistant protein (BCRP). Drug transport assays for nine CNS compounds showed that the permeability of non-Pgp/BCRP and Pgp/BCRP substrates across the model was strongly correlated with rodent in situ brain perfusion data for these compounds (R = 0.982 and R = 0.9973, respectively), demonstrating the functionality of the drug transporters in the model. Thus, this model may be used to rapidly screen CNS compounds, to predict the in vivo BBB permeability of these compounds and to study the biology of the BBB.
2.Incidence and clinical correlates of anger attacks in Chinese patients with obsessive-compulsive disorder.
Ying-Ying ZHANG ; Heng-Fen GONG ; Xiao-Li ZHANG ; Wen-Juan LIU ; Hai-Yan JIN ; Fang FANG ; Sophie SCHNEIDER ; Elizabeth MCINGVALE ; Chen-Cheng ZHANG ; Wayne K GOODMAN ; Xi-Rong SUN ; Eric A STORCH
Journal of Zhejiang University. Science. B 2019;20(4):363-370
OBJECTIVE:
Anger attacks have been observed in patients with obsessive-compulsive disorder (OCD), often triggered by obsessional triggers. However, few studies have reported the clinical characteristics and correlates of anger attacks among Chinese patients with OCD.
METHODS:
A total of 90 adults with a primary diagnosis of OCD, ranging from 15 to 78 years old, participated in the study. Participants were administered the Rage Outbursts and Anger Rating Scale (ROARS), Yale-Brown Obsessive-Compulsive Scale-Second Edition, and Brown Assessment of Beliefs Scale by a trained clinician. Patients completed the Obsessive-Compulsive Inventory-Revised and Depression Anxiety Stress Scale-21.
RESULTS:
A total of 31.3% of participants reported anger outbursts in the past week, and ROARS scores had no significant correlation with age, duration of illness, OCD severity, depression, or stress. However, ROARS scores were negatively related to education level, and positively related to obsessing symptoms and anxiety.
CONCLUSIONS
These data suggest that anger attacks are relatively common in Chinese patients with OCD. The severity of anger attacks is related to educational level, obsessing symptoms, and anxiety, which may be a latent variable reflecting executive functioning and emotion regulation skills.
Adolescent
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Adult
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Age Factors
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Anger
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China
;
Depression/complications*
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Emotions
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Executive Function
;
Female
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Humans
;
Incidence
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Male
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Middle Aged
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Obsessive-Compulsive Disorder/psychology*
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Regression Analysis
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Severity of Illness Index
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Stress, Psychological
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Young Adult