Asthenozoospermia is one of the important causes of male infertility， and its etiology is complex. Currently， there are no specific targeted therapeutic drugs available. Mitochondrial autophagy plays a crucial role in the progression of this disease. This article systematically summarizes the classification of mitochondrial autophagy and the mechanisms of mitochondrial autophagy mediated asthenozoospermia， and summarizes the research progress of traditional Chinese medicine monomers and formulas in intervening in asthenozoospermia. The results show that mitochondrial autophagy， as an important component of cellular quality control system， mainly includes two types： ubiquitin-dependent and non ubiquitin dependent. Among them， PTEN induced kinase 1/ Parkin signaling pathway mediated ubiquitin dependent mitochondrial autophagy is the most classic. This pathway can participate in regulating sperm physiological functions by degrading damaged mitochondria， maintaining mitochondrial functional homeostasis， antagonizing sperm mitochondrial damage caused by spermatogenesis-associated protein 33 abnormalities， and playing a key bidirectional regulatory role in the progression of asthenozoospermia. Traditional Chinese medicine monomers （allicin， eugenol， etc.） and compound formulas （Bushen qiangjing granules， Huangjing zanyu capsules， etc.） can target and activate or inhibit mitochondrial autophagy according to different pathological states， repair damaged mitochondrial function， improve sperm quality and vitality， fully reflecting the unique therapeutic characteristics of traditional Chinese medicine’s dual directional regulation and “balance‑oriented approach”.

Objective The identification of TCM constitution plays an important role in"treating and preventing diseases"of TCM.At present,the identification of damp-heat constitution and balanced constitution is mostly determined by questionnaire,and subjective factors have a great influence.Aiming at the identification of damp-heat constitution and balanced constitution in TCM,this paper utilizes voice signal to automatically realize the constitution identification task,in order to provide assistance for the clinical identification of TCM constitution.Methods Based on deep learning Transformer and transfer learning,a pure attentional mechanism model was designed for the identification of constitution in TCM sound diagnosis.We collected 700 voices from 34 subjects,pre-processed the voice data to obtain the corresponding Mayer spectrum diagram,and used the Transformer model pre-trained based on the public data set to improve the performance of the model for audio classification.Results The accuracy of the experimental results was 83.33%,the AUC was 92.16%,the sensitivity was 80.25%,and the specificity was 87.03%.Compared with the Convolutional Neural Network(CNN),the performance of the deep learning model was better.Conclusion In this paper,the damp-heat constitution and balanced constitution identification model Transformer has achieved better identification effect,indicating that it can improve the efficiency of TCM acoustic diagnosis of constitution identification,and promote the objective and intelligent development of constitution identification.

Objective:To explore the clinical efficacy of super-selective ophthalmic artery thrombolysis in the treatment of central retinal artery occlusion (CRAO).Methods:This is a retrospective case series study,based on the analysis of clinical data of 50 non-arteritic CRAO patients. The patients were advised to be treated with super-selective intra-ocular arterial thrombolysis at the Neurosurgery Department, Shenyang No. 4 People′s Hospital from May to December 2024, and treated with intra-arterial thrombolysis and postoperative management guidance by the Department of Neurosurgery, General Hospital of the Northern Theater Command. There were 36 males and 14 females, aged (59.5±10.2)years (range: 41 to 75 years). There were 5 cases of complete obstruction of the central retinal artery and 45 cases of subtotal obstruction.Before the operation, all patients underwent optical coherence tomography angiography (OCTA)+ocular vascular ultrasonography, and their visual acuity was measured using a standard visual acuity logarithmic scale, visual field was measured using the contrast visual field examination method;One week after the operation, all patients were rechecked for OCTA, visual acuity and visual field. The patients′ preoperative and postoperative visual field recovery status were compared. Significant effect was defined as an improvement of more than 3 lines of visual acuity or a complete improvement of visual field defects after treatment compared with pretreatment visual acuity; effectiveness was defined as an improvement of 1 to 2 lines of visual acuity or an improvement of visual field defects after treatment compared with pretreatment visual acuity.Results:The overall effective rate of 50 patients with CRAO treated with super-selective ophthalmic artery urokinase thrombolysis was 94.0% (47/50), with 29 very effective, 18 effective and 3 ineffective. The time from onset to surgery was 0 to 6 hours in 5 patients, with an effective rate of 5/5; >6 to 24 hours in 11 patients, with an effective rate of 10/11; >1 to 7 days in 21 patients, with an effective rate of 90.5%(19/21); >7 to 14 days in 9 patients, with an effective rate of 9/9; and >14 to 21 days in 4 patients, with an effective rate of 4/4, and the difference in effective rate between the different time windows of thrombolytic therapy was not statistically significant ( P=0.961). There were 3 cases of intraoperative and postoperative complications, including 1 case of ophthalmic artery entrapment, 1 case of femoral artery pseudoaneurysm and 1 case of fundus hemorrhage, but all of them were cured after symptomatic treatment. Conclusions:Intra-arterial thrombolysis for CRAO patients has a high effective rate and a low complication rate. The surgical time window can be extended to 21 days after the onset, which is of positive significance for the recovery and improvement of the patient′s final visual acuity.

Objective:To construct a general deep learning dose prediction model applicable to radiotherapy for head and neck tumors, establish design methods for artificial intelligence (AI)-assisted radiotherapy plan and evaluate the accuracy of prediction.Methods:Radiotherapy plans of 818 patients who received radiotherapy for head and neck cancers from January 2018 to June 2021 in Cancer Hospital of Chinese Academy of Medical Sciences were enrolled. Patients involved 17 types of common head and neck cancers, and the prescribed dose covered 5 kinds of dose gradients ranging from 54 Gy to 73.92 Gy. And 1-2 cases per each cancer type (31 cases in total) were randomly selected as the validation set, and the remaining 787 cases were used as the training set to build a deep learning head and neck radiotherapy generalized dose prediction model. Then based on the dose prediction results of this model, a program was written to automatically generate inverse optimization condition scripts, which were sent back to the treatment planning system to achieve AI-assisted radiotherapy plan design. Among the patients who received radiotherapy in our hospital from June 2021 to January 2022, 1 patient for each disease type (17 cases in total) was selected to evaluate the AI-assisted plan design program and evaluate its clinical feasibility using paired t-test. Results:Dose prediction model accuracy evaluation revealed that in the 31-case validation set, there was no statistical difference in the evaluation metrics of clinical concern for organs at risks, except for the D 1 cm3 prediction for spinal cord planning risk volume, which was statistically different compared with the clinical reference plan. The AI-assisted plan design program had higher plan quality metric scores (37.88±6.42) than manual plans (35.00±7.63) in 17 test cases ( t=-1.00, P=0.166). The number of manual adjustments to the inverse optimization conditions was reduced from (5.47±2.97) times to (2.76±1.00) times for the AI-assisted plan compared to the manual-only plan ( t=4.12, P<0.001). And the number of outlined dose shaping structures was reduced from 7.35±3.98 to 3.12±1.18 ( t=5.61, P<0.001). Conclusions:The unified universal model of dose prediction established for different head and neck cancers has high accuracy in dose prediction for all types of head and neck tumor plans. The AI-assisted planning method established in this pattern can reduce the clinical workload of physicists and improve the efficiency of their work.

Objective:To investigate the epidemiological trends of viral diarrhea pathogens in children in Baotou city, and to provide reference for controlling the prevalence of viral diarrhea and guiding the development of regional vaccines.Methods:Fecal samples were collected from children under five years old hospitalized with viral diarrhea at two sentinel hospitals in Baotou from June 2023 to May 2024. Real-time PCR was used to detect group A rotavirus, norovirus, adenovirus, and astrovirus. Statistical analysis was performed using SPSS 20.0 software, with Chi-square tests conducted to assess differences. A P value<0.05 was considered statistically significant. Results:A total of 246 fecal samples were collected, including 153 from males and 93 from females. Among these, 135 samples tested positive, yielding a positivity rate of 54.88% (135/246). There were 82 positive samples from male children and 53 from female children, with no significant difference between genders. Most positive samples (51.85%, 70/135) tested positive for two viruses. Specifically, co-infections of group A rotavirus with norovirus or adenovirus accounted for 98.57% (69/70) of all co-infected cases. Significant differences in detection rates were observed across age groups (χ 2=29.803, P<0.001), with the highest positivity rates in children under one year old and in the 1-year age group. Seasonality, viral diarrhea in Baotou was more prevalent in winter and spring. The G8P[8] genotype of group A rotavirus was the predominant strain. Conclusions:From June 2023 to May 2024, viral diarrhea in hospitalized children under five years old in Baotou is primarily caused by co-infections of group A rotavirus and norovirus, with a higher incidence in preschool-aged children. The G8P[8] genotype of group A rotavirus is the dominant strain. It is recommended to strengthen vaccination and surveillance efforts for viral diarrhea in preschool children, particularly during the winter and spring seasons.

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.

Objective The identification of TCM constitution plays an important role in"treating and preventing diseases"of TCM.At present,the identification of damp-heat constitution and balanced constitution is mostly determined by questionnaire,and subjective factors have a great influence.Aiming at the identification of damp-heat constitution and balanced constitution in TCM,this paper utilizes voice signal to automatically realize the constitution identification task,in order to provide assistance for the clinical identification of TCM constitution.Methods Based on deep learning Transformer and transfer learning,a pure attentional mechanism model was designed for the identification of constitution in TCM sound diagnosis.We collected 700 voices from 34 subjects,pre-processed the voice data to obtain the corresponding Mayer spectrum diagram,and used the Transformer model pre-trained based on the public data set to improve the performance of the model for audio classification.Results The accuracy of the experimental results was 83.33%,the AUC was 92.16%,the sensitivity was 80.25%,and the specificity was 87.03%.Compared with the Convolutional Neural Network(CNN),the performance of the deep learning model was better.Conclusion In this paper,the damp-heat constitution and balanced constitution identification model Transformer has achieved better identification effect,indicating that it can improve the efficiency of TCM acoustic diagnosis of constitution identification,and promote the objective and intelligent development of constitution identification.

Objective : To analyze the relationship between tongue volume, tongue position, dental and skeletal parameters in adult patients with different skeletal malocclusions, providing references for the etiology, diagnosis, and treatment of skeletal malocclusions. Methods: This study has been reviewed and approved by the Ethics Committee, and informed consent has been obtained from patients. Cone-beam computed tomography (CBCT) and cephalometric radiographs were collected from 60 adult patients, divided into three groups based on ANB angle values: skeletal Class I (0° < ANB < 4°), II (ANB > 4°), and III (ANB < 0°), with 20 cases in each group. Dental and skeletal parameters were measured using Dolphin software. Mimics software was used for 3D reconstruction of the tongue, oral cavity, and upper airway to measure tongue position, tongue volume, oral cavity volume, and upper airway volume, followed by statistical analysis. Results: The skeletal Class III group had significantly larger tongue and oral cavity volumes than the skeletal Class I and Class II groups (P = 0.02). Tongue length in the skeletal Class III group was also greater than in the skeletal Class I and Class II groups (P = 0.016). There was no significant difference in the ratio of tongue volume/oral cavity capacity among the three skeletal malocclusion groups (P > 0.05). Tongue volume was positively correlated with U1-SN and negatively correlated with overbite and overjet (P < 0.05). Additionally, tongue volume showed a significant positive correlation with Go-Gn and Pg-Np (P < 0.01), as well as with maxillary and mandibular dental arch width and basal bone arch width (P < 0.01). Upper airway volume was positively correlated with TT-VRL and TP-VRL (P < 0.05). Conclusion Patients with skeletal Class III malocclusion have larger tongue volumes and longer tongues. Patients with larger tongue volumes may also have larger, more forward-positioned mandibles. Patients with more posterior tongue positions may have smaller upper airway volumes. When developing orthodontic or orthognathic treatment plans, it is crucial to consider the relationship between tongue position, tongue volume, the jaws, and the airway to ensure optimal outcomes for both dental and orofacial function.

Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*