Autosomal dominant polycystic kidney disease (ADPKD) is a common monogenic hereditary kidney disease, which can progress into end-stage renal disease (ESRD). Patients with ADPKD constantly suffer from recurrent intracapsular infection. The drug resistance caused by antibiotic treatment is becoming increasingly prominent. The pattern of renal transplantation should be selected according to the infection of polycystic kidney disease. In this article, the origin of renal cyst, classification and source of cystic fluid, type and drug resistance of bacteria in the cystic fluid, and intracapsular infection of patients with renal transplantation- associated ADPKD were reviewed, aiming to provide reference for the diagnosis and treatment of intracapsular infection of patients with ADPKD.

Objective To study the stress distributions of the surrounding bone during the dynamic implantation of micro-implants,a finite element model of self-attacking orthodontic micro-implant dynamic implantation was proposed and established.Methods A three-dimensional(3D)oral model was constructed using CBCT data.The local model around the implant and the 3D finite element model of the micro-implant were established using ABAQUS software.The micro-implant was implanted into the jaw with an axial propulsion force of 40 N at a constant speed of 0.5 r/s.Results The 3D finite element model was successfully established to simulate dynamic self-attacking orthodontic micro-implant implantation in the jaw bone.The results showed that implantation stage and thread position had significant effects on bone stress distribution and the stress states of different bones had obvious differences:the maximum stress on the cortical bone was 167 MPa,and the maximum stress at the stable stage was approximately 50 MPa.The maximum stress on cancellous bone was 30 MPa.Conclusions The implantation stage and thread position have apparent influences on stress distribution.The stress difference between the cortical and cancellous bones was evident.The stress characteristics can judge the bone type,and whether the jaw is in a suitable implantation state can be judged by the bone stress distributions around the implant.

Cognitive dysfunction is the impairment of higher brain functions.Cognitive impairment caused by neuropsychiatric diseases has caused serious impact on patients'quality of life and the outcome of the disease.The transcranial alternating current stimulation(tACS)improves cognitive function by modulating neural oscillations of specific frequencies,affecting the release of neurotransmitters such as serotonin and dopamine,and enhancing local and distal synchronization of brain networks.Specific frequencies of tACS can improve the cognitive impairment caused by Alzheimer disease(AD),schizophrenia,and depression,among which the gamma and theta frequencies of tACS have the most significant effects on cognitive function.tACS has high safety and low operational difficulty,and has great potential to improve cognitive function.

ObjectiveTo investigate the non-suicidal self-injury （NSSI） behaviors in adolescents with depressive disorder， analyze related influencing factors， and provide theoretical basis and reference for the prevention and treatment of NSSI. MethodsAccording to DSM-5 criteria， 95 depressive adolescents were divided into two groups： one with NSSI （NSSI group） and one without NSSI （nNSSI group）. All patients were assessed with Adolescent Non-suicidal Self-injury Assessment Questionnaire （ANSAQ）， Self-Rating Depression Scale （SDS）， Self-Rating Anxiety Scale （SAS）， Simplified Coping Style Questionnaire （SCSQ）， Experiences in Close Relationships-Relationship Structures Scale （ECR-RS）， and Childhood Trauma Questionnaire-Short Form （CTQ-SF）. The inter-group differences were compared. The influencing factors of NSSI were analyzed by using binary logistic regression. ResultsOf the 95 depressive adolescents， 59 cases of NSSI were identified， with a detection rate of 62.11%. NSSI group had higher scores than nNSSI group on SDS， SAS， negative coping style， paternal attachment anxiety， maternal attachment anxiety and avoidance， CTQ-SF total score， emotional neglect， physical neglect， emotional abuse， and sexual abuse （all P<0.05）. Binary logistic regression analysis showed that anxiety， negative coping style， maternal attachment avoidance and emotional abuse increased the risk of NSSI among adolescents with depressive disorders （all P< 0.05）. ConclusionsAdolescents with depression have a high incidence of NSSI behaviors， which is related to anxiety， negative coping style， maternal attachment avoidance and emotional abuse. In addition to improving patients' depression and anxiety in clinical setting， attention should also be paid to patients' coping styles， parent-child relationship and childhood trauma to reduce the occurrence of NSSI behaviors.