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.

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.

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*

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.

BACKGROUND:Spinal cord injury often leads to neurogenic bladder with hyperreflexia of the forced urethral muscle,but there is a lack of clear understanding of its pathogenesis and treatment,and establishing a stable and reliable animal model has an important impact on revealing its pathomechanisms and exploring therapeutic approaches.OBJECTIVE:To investigate the effect of the number of times to urinate on neurogenic model rats after complete spinal cord transection in order to improve the postoperative survival and modeling rate of neurogenic model rats.METHODS:Out of 46 female Sprague-Dawley rats,6 were selected as the sham-operated group using the random number table method,and the remaining 40 rats were randomly divided into 0,1,3,and 5 times daily urination groups after complete spinal cord transection modeling,with 10 rats in each group.The residual urine volume was measured every 3 days within 19 postoperative days,and the survival and modeling were observed on the 19th day after the operation,and urodynamics tests and contraction experiments of isolated forced urethra muscle strips were performed.RESULTS AND CONCLUSION:(1)Survival and modeling rate:there was 10%survival rate and 10%modeling rate in the group of 0 times daily urination;20%survival rate and 10%modeling rate in the group of 1 time daily urination;70%survival rate and 70%modeling rate in the groups of 3 and 5 times daily urination.(2)Residual urine volume:compared with the sham-operated group,the residual urine volume of the groups of 3 and 5 times daily urination was significant increased on postoperative days 3,6,9,12,and 15(P<0.01);the residual urine volume of the groups of 3 and 5 times daily urination was increased on the 18th day after surgery(P<0.05).Compared with the 3 times daily urination group,the residual urine volume was decreased in the 5 times daily urination group on the 6th day after surgery(P<0.05),while there was no significant difference in the residual urine volume between the 3 and 5 times daily urination groups on the 3rd,9th,12th,15th,and 18th days after surgery.(3)Urodynamics:Compared with the sham-operated group,the differential pressure at the point of leakage was significantly reduced(P<0.01)and the maximal volume was significantly increased(P<0.01)in the 3 and 5 times daily urination groups.There was no statistical difference in the differential pressure at the point of leakage and the maximal volume between the 3 and 5 times daily urination groups.(4)Muscle-strip contraction test of isolated detrusor muscles:Compared with the sham-operated group,the contraction amplitude and frequency of detrusor muscle strips were significantly reduced in the 3 and 5 times daily urination groups(P<0.01).There was no statistically significant difference in the contraction amplitude and frequency of detrusor muscle strips between the 3 and 5 times daily-urination groups.In conclusion,assisted urination is one of the keys to establish a successful neurogenic model of urethral reflexes,and there is no significant difference in the effects of urinating 3 or 5 times a day on the neurogenic model.It is recommended to urinate at least 3 times a day based on the actual workload and the modeling rate.

This study was aimed atanalyzing the epidemic characteristics of dengue fever in Ruili City atthe China-Myanmar bor-der in late 2023,to provide evidence for local dengue fever prevention and control measures.Adult Aedes mosquitoes were collected from Ruili City with a backpack type mosquito sucking machine in October of 2023.Serum samples frompatients with suspected den-gue were collected in acutephase,in November of 2023.Detection ofdengue virus(DENV)nucleic acids in Aedesmosquitoes and acute phase serum samples from suspected dengue fever patients using reverse transcription-polymerase chain reaction,and nucleic acid positive samples were inoculated into Vero cells for viral culture.After three consecutive blind passage,samples with cytopathic effect(CPE)were collected for be sequencingand analysisof genetic and evolutionary information.Dengue case characteristics were analyzed through descriptive epidemiological methods.Among the 109 cases of dengue fever,the ratio of males to females was 1.27∶1.The youngest patient was 1 year old,the oldest patient was 84 years old,the age group of 20～59 years accounted for 73.39%,and the major-ity of occupations were freelancer(40.37%).A total of 827 female Aedes albopictus and 312 Aedes aegypti were collected,all of which tested negative for DENV nucleic acid.109 serum samples tested positive for DENV nucleic acid,including 49 DENV-1 and 60 DENV-2.Moreover,five DENV-1 and nine DENV-2 samples were obtainedthrough third-generation blind passaging with CPE.The E gene sequences of these five DENV-1 strains were detected,all were found to belong to DENV-1 genotype I,and had same evolu-tionary branch as the 2023 Guangzhou,China(PP563911),the 2019 Myanmar(MW793710),and 2019 Attapeu,Laos(MW559046).The nucleotide and amino acid sequence similarityamong the five DENV-1 genotype was 99.4%-99.9%and 99.8%-100.0%.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.5%-100.0%,99.4%-99.6%and 99.3%-99.5%,respec-tively,and amino acid similarity was 99.8%-100.0%.Nine DENV-2 E gene sequences were of Asian genotype I and belonged to the same evolutionary branch as the 2018 Myanmar(MW788982),2019 Hangzhou(OP684212)and 2019 Ruili(OQ928150).The nucleotide and amino acid similarities of the nine samples were 99.5%-100.0%and 99.8%-100.0%,respectively.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.7%-100.0%,99.3%-99.7%and 99.3%-99.7%,respectively,and the amino acid similarity was 99.8%-100%,99.8%-100.0%and 99.4%-99.6%,respectively.Two dengue vectors,Aedes albopictus and Aedes aegypti,were present in Ruili city,and the dengue outbreak was caused primarily by DENV-1 genotype I and DENV-2 Asian genotype I in later 2023.The sources of DENV-1 were probably the same as those of DENV-1 with Guangzhou(2023),and the sources of DENV-2 were probably from Myanmar.Dengue cases were found primarilyin the 20-59 year age group and freelancers,thus suggesting that relevant local departments should strengthen surveillance of dengue imported case and vector.

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.

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.