1.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
2.Mechanism of Yishen Huoxue Tongqiao Formula in Improving Unilateral Vestibular Labyrinth Destruction by Regulating Metabolism-neuroplasticity
Yu TIAN ; Hui LENG ; Rupeng QU ; Xianglong HAO ; Aiping WANG ; Lei SHI ; Zhongyuan QU ; Ye DONG ; Xiande MA ; Yangling HUANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):54-64
ObjectiveThis study aims to explore the mechanism by which Yishen Huoxue Tongqiao Formula improves metabolism-neuroplasticity and treats unilateral vestibular labyrinth destruction by regulating the metabolic balance of glutamate (Glu)/γ-aminobutyric acid (GABA). Methods48 Sprague-Dawley (SD) adult rats were randomly divided into the sham operation group, model group, Yishen Huoxue Tongqiao Formula groups with low, medium, and high doses (9.20, 18.39, 36.78 g·kg-1), and betahistine group (1.62 mg·kg-1). A unilateral vestibular labyrinth destruction (vestibular dysfunction) model was established by intratympanic injection of chloroform into the right ear, while the control group received intratympanic injection of normal saline. Drugs were administered once daily for seven consecutive days. During the period, behavioral tests were performed to evaluate the behaviors of rats after unilateral vestibular labyrinth destruction. Hematoxylin-eosin (HE) staining and Nissl staining were used to observe the neuronal morphology in the medial vestibular nucleus. Golgi staining was employed to assess the number of dendritic spines of neurons in the medial vestibular nucleus. Ultra-performance liquid chromatography-tandem mass spectrometry (LC-ESI-MS/MS) was utilized to detect Glu/GABA. Immunofluorescence and immunohistochemistry were used to detect the expressions of neuronal nuclei (NeuN), growth-associated protein 43 (GAP-43), and glial fibrillary acidic protein (GFAP). Western blot and real-time fluorescent quantitative polymerase chain reaction (Real-time PCR) were applied to determine the expressions of glutamate-immunoreactive (Glu-IR), GABA, GFAP, postsynaptic density protein 95 (PSD-95), and GAP-43. ResultsCompared with the sham operation group, the model group presented with head deviation, balance disorder, increased tail suspension score, nuclear consolidation of medial vestibular nerve neurons, and decreased Nissl bodies (P<0.01). The number of dendritic spines in neurons and NeuN-positive cells decreased. The content of Glu decreased. The content of GABA increased (Glu/GABA decreased). The expression of GAP-43 was down-regulated, and GFAP was up-regulated (P<0.05, P<0.01). The expressions of Glu-IR, PSD-95, and GAP-43 proteins, as well as Glu-IR mRNA decreased, while the expressions of GABA and GFAP proteins and mRNA increased (P<0.05, P<0.01). Compared with those in the model group, the head deviation, imbalanced behavior, and tail suspension scores in each treatment group decreased, with alleviated neuronal injury and recovered Nissl bodies (P<0.01). The number of dendritic spines of neurons increased, and the number of NeuN-positive cells rebounded. The content of Glu increased, and the content of GABA decreased (Glu/GABA increased). GFAP was down-regulated, and GAP-43 was up-regulated (P<0.05, P<0.01). The expressions of Glu-IR, PMD-95, and GAP-43 proteins, as well as Glu-IR mRNA increased, while the expressions of GABA and GFAP proteins and mRNA decreased. The effect was more significant in the high-dose group (P<0.01). ConclusionThe Yishen Huoxue Tongqiao Formula can alleviate vestibular dysfunction, and its mechanism may be associated with regulating the metabolic balance of Glu/GABA, mitigating neural damage, improving synaptic plasticity (promoting GAP-43 expression and inhibiting GFAP expression), and facilitating vestibular compensation.
3.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
4.A Personalized Brain-computer Interface Paradigm and Decoding Method for The Objective Evaluation of Auditory Frequency Difference Limen
Sheng-Ye LI ; Xiao-Lin XIAO ; Shi-Hang YU ; Bei-Bei ZHANG ; Xing-Wei AN ; Min-Peng XU ; Dong MING
Progress in Biochemistry and Biophysics 2026;53(7):1927-1941
ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R2=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.
5.Analysis of cerebral amyloid angiopathy samples from Human Brain Bank of Hebei Medical University
Zu-Qi CUI ; Meng-Yao YE ; Yi ZHOU ; Shi-Xiong MI ; Qian YANG ; Min MA ; Ming WANG ; Shi-Yi WANG ; Qi-Han YU ; Hui-Xian CUI ; Juan DU
Acta Anatomica Sinica 2025;56(6):704-712
Objective To analyze the basic conditions and pathological characteristics of the samples in the Human Brain Bank of Hebei Medical University,which were pathologically diagnosed as cerebral amyloid angiopathy,and to provide reference for the research of related diseases.Methods The basic data of gender,age,apolipoprotein E genotype,pathological classification of cerebral amyloid angiopathy,Alzheimer's disease-related pathological change score,comorbidities and other pathological information were analyzed.Results Up to October 2024,twenty samples were confirmed by pathological diagnosis,with a male to female ratio of 3:1 and an average age of(80.90±8.08)years.Involve three kinds of apolipoprotein E subtype,5 kinds of genotypes(ε2/ε3 xε2/ε4、ε3/ε3 xε3/ε4、ε4/ε4);There were 2 pathologic types,including 6 cases of type 1 and 14 cases of type 2.The pathological grade included 3 grades.The severity grade and subtype classification of cerebral amyloid vascular disease were correlated with the degree of pathological changes of Alzheimer's disease.Cerebral amyloid angiopathy samples could coexist with other degenerative diseases with high comorbidity.Conclusion The incidence of cerebral amyloid angiopathy is higher in the aged samples collected based on Brain Bank,which coexists with conditions such as Alzheimer's disease and microbleeds,etc.It provides more detailed pathological diagnosis basis for further scientific research sharing of samples.
6.COCKROACH SURVEILLANCE IN LANZHOU FROM 2016 TO 2023
Ying ZHANG ; Jing ZUO ; Qing-Ming SHI ; Zi-Peng LI ; Wen-Juan BA ; Zhi-Qing LI ; Ai-Miao LIAO ; Jing-Jing YU ; Guo-Jing BAO ; Xing LI ; Jun GAN ; Xiao-Lei YE
Acta Parasitologica et Medica Entomologica Sinica 2025;32(2):119-122
Objective To investigate the population composition,seasonal dynamics,and infestation levels of cockroaches in Lanzhou,China,and to provide information for the scientific development of cockroach control strategies.Methods Monitoring was conducted at three locations using the sticky trap method.Habitats included farm product markets,catering establishments,hotels,hospitals,and residential areas.Results From 2016 to 2023,the average cockroach density was 0.77 insects per board,with an average infestation rate of 10.84%.Blattella germanica was the dominant species.Seasonal density of cockroaches showed an approximately unimodal distribution,peaking in September.The highest average density and infestation rates were observed in farm product markets.Conclusions Cockroach density and infestation levels in Lanzhou remained relatively low.A comprehensive prevention and control strategy focusing on environmental management in key areas should be implemented according to the seasonal fluctuations.
7.A qualitative study on digital-intelligent equipment empowering"generalized"development of traditional Chinese medicine inspection
Chen ZHAO ; Aomeng ZHANG ; Zehui YE ; Jiaying LUO ; Qiang SHI ; Ying YU ; Xiaoyu ZHANG ; Yin JIANG ; Zhicong ZENG ; Fengxia LIN ; Yinghui JIN ; Xue XU ; Xiaowei ZHANG ; Liangzhen YOU ; Yipin FAN ; Dameng YU ; Shaoyang MEN ; Jian DU ; Rui XU ; Ruijin QIU ; Yingjie ZHI ; Zhineng CHEN ; Xuan ZHANG ; Hongcai SHANG
Journal of Beijing University of Traditional Chinese Medicine 2025;48(8):1052-1061
Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.
8.Case 06 (2025): A case of pregnancy complicated by type 1 diabetes with severe diabetic nephropathy and retinopathy
Hongli HUANG ; Huixia YANG ; Geng SONG ; Shuxian WANG ; Ye FENG ; Yumei WEI ; Yu SUN ; Sufang SHI ; Xiaoyong YUAN ; Jing ZHANG
Chinese Journal of Perinatal Medicine 2025;28(1):51-56
This paper reported a type 1 diabetes patient who had severe diabetic nephropathy, retinopathy, hypertension, and hypothyroidism before pregnancy. The patient's blood glucose control was poor before pregnancy, and the complications were not properly treated. This was an unintended pregnancy, with a pre-pregnancy glycated hemoglobin A1c of 7.8% and early pregnancy urine protein of 3.81-4.53 g/24 h. Considering the patient's poor blood glucose control before pregnancy and the lack of proper treatment for multiple complications including nephropathy, a multidisciplinary consultation at an external hospital recommended termination of the pregnancy. However, the patient was determined to continue the pregnancy and was referred to Peking University First Hospital. Through strict blood glucose control, monitoring and evaluation of complications, and comprehensive management, the patient's blood glucose and blood pressure were well controlled during pregnancy. Regular monitoring of urine protein, renal function, and ocular fundus was conducted. At 31 weeks and 4 days of gestation, the patient's 24-hour urine protein significantly increased. After promoting fetal lung maturity, a cesarean section was performed at 34 weeks and 1 day of gestation, resulting in a successful delivery with good maternal and neonatal outcomes. At the 42-day postpartum follow-up, the patient's blood glucose and blood pressure were stable, urine protein returned to pre-pregnancy levels, and the infant was in good general condition.
9.Feasibility and exploration of optimal communication models for robot-assisted urological telesurgery: a multicenter, single-arm, retrospective study
Ye WANG ; Taoping SHI ; Sheng TAI ; Sunyi YE ; Yubai ZHANG ; Bingzhang QIAO ; Chenfeng WANG ; Gen CHENG ; Zhi LI ; Qing AI ; Qingbo HUANG ; Baojun WANG ; Qing YUAN ; Junnan XU ; Guojun LIU ; Yu CHEN ; Wuyi ZHAO ; Jianle MAO ; Shiwei LI ; Shuo WANG ; Dan XIA ; Wanhai XU ; Chaozhao LIANG ; Hongzhao LI ; Xin MA ; Xu ZHANG
Chinese Journal of Urology 2025;46(5):331-336
Objective:To evaluate the efficacy and feasibility of a domestically developed robotic surgical system based on fiber-optic dedicated line communication in cross-regional urological telesurgery.Methods:This was multicenter,single-arm,retrospective case series study. The data of patients who underwent urological telesurgeries using the telesurgical system between January 2023 and December 2024 were analyzed. The cohort included 59 patients from seven hospitals across China. Among the patients,47 were male(79.7%)and 12 were female(20.3%),with a median age of 63.0(56.0,68.0)years and a body mass index of(24.7 ± 3.0)kg/m 2. Surgical procedures included 32 radical prostatectomies,24 partial nephrectomies,one radical nephrectomy,one adrenalectomy,and one ureteral reconstruction. The perioperative indicators,pathological results and postoperative complications were analyzed. The network monitoring data were collected,and the perioperative data of patients,remote system monitoring data and costs were compared between the two communication modes of optical transport network(OTN)and cloud-connect network(CCN). Results:All 59 remote surgeries were successfully completed,with a mean operative time of(138.0 ± 54.0)minutes,median intraoperative blood loss of 50.0(30.0,100.0)ml and a postoperative hospital stay of 5.0(4.0,6.0)days. No cases required reoperation,Clavien-Dindo grade ≥3 complications,or readmission. The geographical distance between the primary and remote surgical sites ranged from 450 to 2 800 km. Network monitoring revealed increased bidirectional latency with distance increasing:the shortest latency time(Hefei-Hangzhou,450 km)was(16.59 ± 0.80)ms,while the longest(Harbin-Hangzhou,2 200 km)latency time was(53.31 ± 0.31)ms. Average frame loss per procedure was 0?1.27 frames. The results of subgroup analysis comparing OTN and CCN communication modes showed no significant differences in operative time[(130.7 ± 70.5)minutes vs.(142.1 ± 42.9)minutes, P = 0.442],postoperative hospitalization[6.0(4.0,8.0)d vs. 5.0(4.0,6.0)d, P = 0.581],or readmission rates(0 vs. 0). However,CCN demonstrated significant cost advantages with 500 RMB per operation vs. 3 000 RMB per operation for OTN. Conclusions:Urological telesurgery using fiber-optic communication is feasible. The CCN mode,with its cost-effectiveness,excellent usability,and multi-point interconnection flexibility,is currently the preferred communication model for telesurgical applications.
10.A case report of neurodevelopmental disorder with seizures caused by de novoNBEA gene variation and review of literature
Huimin ZHAO ; Cheng YE ; Ying LI ; Shufeng YU ; Kaili SHI
Chinese Journal of Neurology 2025;58(10):1073-1079
Objective:To discuss the clinical and genetic characteristics of neurodevelopmental disorder with or without early-onset generalized epilepsy (NEDEGE) caused by NBEA gene variation. Methods:The clinical and genetic records of a patient who was diagnosed with NEDEGE caused by NBEA gene variation at the Department of Neurology, Guangzhou Women and Children′s Medical Center in April 2024 were collected retrospectively. Using " NBEA or neurobeachin" "Autism spectrum disorders or ASD" "Epilepsy" "Neurodevelopmental disorders" as the keywords, relevant articles were searched at CNKI, Wanfang and PubMed databases from establishment of these databases to December 2024. Clinical and genetic features of NEDEGE were summarized in the combination of this case. Results:The proband, a 3 years old boy, was backward in development since childhood. He had autism spectrum disorder-like manifestations such as stereotyped behavior and poor eye contact. At the age of 2, he developed generalized seizures. The whole exome sequencing showed a de novo heterozygous variation of c.244CT(p.Gln82 *) in the NBEA gene (NM-001385012.1), and he was diagnosed with NEDEGE. A total of 10 articles (all in English) were retrieved, reporting 36 cases of NBEA gene related NEDEGE (including this case), 4 of whom coming from China. Twenty-four individuals suffered from mild to severe intellectual disability, and most were moderate.Twenty-eight patients had language delay, including 4 cases of complete loss of language function, and 24 patients had seizures, and 19 patients had autism or autima-like behavior problems. Conclusions:This case enriches the mutation spectrum of the NBEA gene, and the c.244CT is the first reported related variation in the Chinese population. The clinical symptoms of NEDEGE related to NBEA gene mutations are most pronounced in neurodevelopmental disorders, followed by seizures and autistic behavior.

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