Loss of MicroRNA-137 Impairs the Homeostasis of Potassium in Neurons via KCC2

Neuropsychiatric disorders are the leading cause of mental and intellectual disabilities worldwide. Current therapies against neuropsychiatric disorders are very limited, and very little is known about the onset and development of these diseases, and their most effective treatments. MIR137 has been previously identified as a risk gene for the etiology of schizophrenia, bipolar disorder, and autism spectrum disorder. Here we generated a forebrain-specific MIR137 knockout mouse model, and provided evidence that loss of miR-137 resulted in impaired homeostasis of potassium in mouse hippocampal neurons. KCC2, a potassium-chloride co-transporter, was a direct downstream target of miR-137. The KCC2 specific antagonist VU0240551 could balance the current of potassium in miR-137 knockout neurons, and knockdown of KCC2 could ameliorate anxiety-like behavior in MIR137 cKO mice. These data suggest that KCC2 antagonists or knockdown might be beneficial to neuropsychiatric disorders due to the deficiency of miR-137.

Using Delphi method to establish evaluation indicator system for the emergency response capability of Centers for Disease Control and Prevention / 预防医学

Objective To establish a evaluation indicator system for the emergency response capability of CDC by taking Zhejiang Province as an example.Method The manuscript of evaluation indicator system for Zhejiang province was established based on literature review and expert meeting.A 3 -rounds Delphi process was conducted and the specialist participating level,authority coefficient and Kendall's W were calculated to assess the indicator system.The weight of index was calculated by method of proportionate allocation.Results Three rounds of Delphi consultations was conducted by 1 7 consulters that from the administrative department of public health,scientific research institution or CDCs,and the response rate were 94.1 2%,87.50%,88.24% respectively.The specialist authority coefficient was 0.81 ±0.05.The final indicator system was consisted of 7 first -class indicators (Emergency response system,Emergency response team, Emergency response supply,Emergency coping capability,Surveillance and early warming,Scientific research and exchange,Communication and cooperation),22 second -class indicators and 77 third -class indicators.The W for each class of indicator were 0.701 ,0.531 ,0.547 and 0.697,0.629,0.548 respectively (P <0.01 ).The CV for each indicator ranges from 0.00 to 0.24.Conclusion The indicator system established in the study has good reliability and feasibility,and the specialists'opinions were consistent.The indicator system could be used in common assessment of CDC's emergency response capability in Zhejiang Province.