Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca²⁺ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a^-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a^-/- OPCs in vitro and myelination in Tmem63a^-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca²⁺ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals ; Cell Differentiation/physiology* ; Oligodendroglia/metabolism* ; Mice, Knockout ; Mice ; Male ; Myelin Sheath/metabolism* ; Humans ; Child ; Cells, Cultured ; Oligodendrocyte Precursor Cells/metabolism*

Objective To investigate the effects of sleep deprivation on the firing activity of hippocampal parvalbumin-expressing interneuron(PV-IN)of mice during trace eyeblink conditioning(tEBC)training and during recovery sleep.Methods A total of 15 PV-Cre mice were randomly assigned into a sleep deprivation group(n=8)and a control group(n=7).After daily tEBC training,the sleep deprivation group experienced 1.5 h of sleep deprivation followed by 1.5 h of recovery sleep,and the control group mice were allowed to sleep freely,for 5 consecutive days.Multichannel recording and optogenetic techniques was applied to identify the hippocampal PV-IN in vivo.Results The sleep deprived mice failed to show significant increase in the incidence of conditioned eyeblink response(CR)across 5 training days(P>0.05).On training days 3～5,the CR incidence was significantly lower in the sleep deprived mice than the control mice(P<0.05).The enhancement of conditioned stimulus(CS)-evoked firing activity in hippocampal PV-INs during tEBC training was significantly lower in the sleep deprived mice when compared to the control mice(P<0.05).The sleep deprived mice obtained notably strengthened firing activity of hippocampal PV-INs peri sharp wave ripple events during recovery sleep period when compared with the pre-training sleep period(P<0.05),and the enhancement was remarkably greater than that in the control mice(P<0.05).Sleep deprivation had no obvious effects on the firing activity of hippocampal non PV-IN during either tEBC training or recovery sleep(P>0.05).Conclusion Sleep deprivation produces dual effects on the firing activities of hippocampal PV-INs during tEBC training and recovery sleep.These effects may be the cellular mechanisms of tEBC memory formation and consolidation disorders caused by sleep deprivation.

Under the background of forensic medicine becoming a first-level discipline,the opportuni-ties and challenges of discipline development coexist.Starting from the actual situation and characteris-tics of local medical colleges and universities,this paper discusses the problems and solutions for the development of forensic medicine discipline from the perspective of building a regional high-level medical university.Combined with the experiences of carrying out forensic medicine education in our college,this paper supplies our thoughts and practices on improving the discipline system,enhancing the ability to serve society,perfecting the talent cultivation model and promoting forensic culture,to provide reference and inspiration for the development of forensic medicine in other universities,jointly promote the advancement of forensic medicine in China to a new stage,and contribute the wisdom and strength of forensic medical experts to the construction of a law-based China,a safe China and a healthy China.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective To evaluate the application of rabbit liver cancer model in teaching interventional medicine for graduate students.Methods A total of 10 first-year master graduate students majoring in Radiological Imaging(Interventional Medicine).who were studying at Zhengzhou University of China,were enrolled in this study.The rabbit liver cancer model was used as the experimental teaching materials.The teaching contents included the establishment of rabbit liver cancer model,the interventional operation of rabbit liver cancer,the method of scientific research and teaching,the evaluation of the teaching effect,and the survey of student satisfaction.Results Under the guidance of teaching tutor,the success rate of VX2 rabbit liver cancer modeling performed by the 10 master graduate students majoring in interventional medicine was 100％,and the mean operational quality assessment score was(11.5±2.0)points.During the operation of interventional surgery,the success rate of femoral artery puncture was also 100％,and the mean score for each interventional operation was(11.8±2.3)points.The students'experimental designs were evaluated by the expert group,the results were as follows:2 cases were rated as excellent,7 cases were rated as good,and one case was rated as moderate.The degree of students'satisfaction with experimental teaching method was high,the specific scores of each item are as follows:the understanding of the rabbit liver cancer model was(4.80±0.40)points,the command of interventional technology was(4.60±0.49)points,and the quality and practicability of teaching materials was(4.90±0.30)points.Conclusion This teaching method of using rabbit liver cancer model experiment can improve the animal experiment ability,interventional operation ability and scientific research innovation ability of graduate students.Animal model teaching method is an innovation of teaching mode for graduate students majoring in interventional medicine.

Objective To observe the effects of electroacupuncture(EA)on TGF-β1/Smads signaling pathway and epithelial-mesenchymal transition(EMT)related proteins in rats with neurogenic bladder(NB)after spinal cord injury;To explore the possible mechanism of EA in improving NB fibrosis.Methods Totally 36 female SD rats were randomly selected,with 10 rats in the sham-operation group and the remaining 26 rats undergoing complete transection of the spinal cord beneath the T8 vertebrae to establish a NB rat model.The modeling rats were randomly divided into model group and EA group,with 10 rats in each group.EA group was applied to"Ciliao","Zhongji"and"Sanyinjiao",20 min per time,once a day for 7 days.The general condition of the rats in each group was observed,the ultrasound index of the bladder was detected by ultrasound technique,the bladder function of the rats was detected by urodynamics,the body mass of the rats and the wet weight of the bladder were recorded,and the bladder index was calculated.HE staining was used to observe bladder tissue morphology,the degree of bladder tissue fibrosis and bladder wall thickness were detected by Masson staining.The positive expressions of E-cadherin,N-cadherin and Vimentin in bladder tissue were detected by immunohistochemistry.The protein expressions of TGF-β1,p-Smad2/3,E-cadherin,N-cadherin and Vimentin were detected by Western blot.Results Compared with the sham-operation group,the upper and lower diameter,anteroposterior diameter,transverse diameter,bladder volume of the model group significantly increased(P<0.001),the maximum bladder pressure,leak point pressure difference,perfusion time and maximum bladder capacity significantly increased(P<0.001),the bladder index increased significantly(P<0.001),the bladder epithelial cells were thickened and arranged irregularly,the bladder collagen volume fraction and bladder wall thickness significantly increased(P<0.001),the expressions of TGF-β1,p-Smad2/3,N-cadherin and Vimentin in bladder tissue increased(P<0.01),and the expression of E-cadherin decreased(P<0.001).Compared with the model group,the upper and lower diameter,anteroposterior diameter,transverse diameter,bladder volume of the EA group decreased significantly(P<0.05),the maximum bladder pressure,leak point pressure difference,perfusion time and maximum bladder capacity significantly decreased(P<0.05),the bladder index significantly decreased(P<0.05),the thickness of the bladder epithelial cell layer became thinner and arranged more neatly,and the bladder collagen volume fraction and bladder wall thickness of the bladder were significantly reduced(P<0.05),the expressions of TGF-β1,p-Smad2/3,N-cadherin and Vimentin in bladder tissue significantly decreased(P<0.05),and the expression of E-cadherin significantly increased(P<0.05).Conclusion EA may reduce the EMT of bladder epithelial cells and decrease the degree of bladder tissue fibrosis by inhibiting the activation of the TGF-β1/Smads signaling pathway,thereby improving bladder function in NB rats after spinal cord injury.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.