Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

OBJECTIVE: To delineate the clinical and genetic features of a Chinese girl harboring a rare de novo variant of SYNGAP1 associated with Mental retardation, autosomal dominant 5 (MRD5), and to conduct a comprehensive genotype-phenotype correlation analysis within the Chinese population through an extensive literature review. METHODS: A 5-year-old girl presenting with seizures without an obvious cause was enrolled in September 2020. Genomic DNA was extracted from the patient and her parents. Whole exome sequencing (WES) was performed on the proband to identify suspected pathogenic variants based on her clinical phenotype. Sanger sequencing was used for validation, followed by bioinformatic analysis of the variant. Additionally, data from 54 previously reported Chinese cases with SYNGAP1 variants were integrated to summarize the distribution of variant types and clinical characteristics. Ethical approval was obtained from the Ethics Committee of Kunming Children's Hospital (Ethics No.: 2021-03-055-K01). RESULTS: WES identified a heterozygous nonsense variant, SYNGAP1 c.725G>A (p.Trp242*), in the proband. Sanger sequencing confirmed it was a de novo variant. According to the ACMG guidelines, this variant was classified as pathogenic (PVS1+PS2). Based on the clinical manifestations, the patient was diagnosed with MRD5. Bioinformatic analysis suggested that this variant introduces a premature stop codon at tryptophan 242, disrupting the PH domain and leading to the loss of the C2, Ras-GAP, and C-terminal domains. The pooled analysis of Chinese cases revealed that nonsense (38.2%) and frameshift (36.4%) variants were the predominant types. Intellectual disability/developmental delay was present in 100.0% of patients, epilepsy in 83.6%, and autism spectrum disorder in 41.3%. The incidence of epilepsy differed significantly among variant types (P = 0.045). Exons 8 and 15 were identified as mutation hotspots. CONCLUSION This study has identified a SYNGAP1 c.725G>A variant in the Chinese population and confirmed it as a potential cause of MRD5, which expanded the mutational spectrum of this disorder.
Humans ; Female ; Child, Preschool ; Intellectual Disability/genetics* ; ras GTPase-Activating Proteins/genetics* ; Phenotype ; Exome Sequencing ; Genetic Association Studies

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo investigate the impact of a cold environment on the pathophysiological changes in dogs after abdominal gastrointestinal blast injury. MethodsEight healthy common-grade adult male Beagles were selected and randomly divided into a cold group and a normal temperature group, with 4 dogs in each group. Prior to surgery, Beagles dogs were fasted and deprived of water for 12 hours; after establishing a vein at the edge of the ear, propofol （2 mg·kg^-1·min^-1） was continuously infused using a microinfusion pump to maintain anesthesia. Tracheal intubation was performed while preserving spontaneous breathing, and the electroencephalogram bifrequency index was maintained at 40-60 to ensure stable anesthesia. A model of abdominal gastrointestinal blast injury in Beagle dogs was established using a multifunctional combat trauma modeling platform. After blast injury, the cold group was exposed to a cold chamber at -20 ℃ combined with 10% body surface area ice water immersion for 40 min, while the normal temperature group was kept in an environment at (25±2) ℃ for 40 min after blast injury. Vital signs such as heart rate, blood pressure, and blood oxygen saturation were monitored in both groups before blast injury, immediately after blast injury, and 40 min after blast injury. And arterial blood gas parameters, including pH, partial pressure of oxygen in arterial blood (PaO₂), partial pressure of carbon dioxide in arterial blood (PaCO₂), actual bicarbonate radical (HCO₃^-), lactic acid (Lac), and blood base excess (BEb), were measured. After the experiment, gastrointestinal tissues (gastric antrum and upper jejunum 5 cm distal to the suspensory ligament of the duodenum) were harvested for pathological analysis via hematoxylin-eosin (HE) staining combined with semi-quantitative scoring. ResultsPhysiological indicators showed that the body temperature of the cold group was significantly lower than that of the normal temperature group (P<0.01), and the heart rate and systolic blood pressure of the cold group were significantly higher than those of the normal temperature group (P<0.000 1). PaCO₂ was markedly elevated and BEb was markedly decreased in the cold group relative to the normal temperature group (P<0.000 1), suggesting aggravated respiratory acidosis and metabolic acidosis. Pathological analysis showed that gastro-intestinal tissue damage was more severe in the cold group: the gastric mucosal epithelial shedding rate was > 60% (vs. <25% in the normal temperature group), the necrosis rate of the epithelial cells at the tips of intestinal villi reached more than 70% (vs. < 30% in the normal temperature group), and inflammatory cell infiltration involved the submucosa (vs. limited to the superficial mucosa in the normal temperature group). The semi-quantitative scoring results were consistent with the pathological analysis results, further confirming that the cold environment exacerbated gastrointestinal tissue damage caused by abdominal gastrointestinal blast injury. ConclusionA cold environment can exacerbate circulatory dysfunction and gastrointestinal tissue damage in Beagle dogs after blast injury, providing experimental evidence for early rewarming intervention for combat trauma in cold regions.

Objective: To evaluate the effects of a home-school collaborative intervention on improving sugar sweetened beverages (SSBs) consumption behaviors among primary school students in grades 3 to 5 in Chengdu, so as to provide evidence for SSBs prevention and control strategies among primary school students. Methods: Using a stratified cluster random sampling method, a total of 2 006 students in grades 3 to 5 from 4 primary schools in Chengdu were enrolled from October to December 2024, including an intervention group ( n =769) and a control group ( n =1 237). The control group received routine psychological counseling, while the intervention group received a comprehensive home-school collaborative intervention integrating time perspective cultivation and family functioning improvement. A two level linear mixed effects model was used to analyze the net intervention effect, and the EBICglasso algorithm was used to construct variable association networks to identify core intervention targets. Results: After adjusting for confounders and clustering effects, the intervention significantly reduced the weekly frequency of SSBs consumption (decreased from baseline by 1.29 in the intervention group, 95% CI =-1.84 to -0.73; by 0.84 in the control group, 95% CI =-1.21 to -0.46; interaction P =0.01, Cohen s d=-0.16), improved SSBs consumption behavioral intention (decreased from baseline by 0.62 in the intervention group, 95% CI =-1.26 to -0.02; by 0.14 in the control group, 95% CI =-0.57 to 0.29; interaction P =0.02, Cohen s d =-0.15) and increased family functioning level (increased from baseline by 0.34 in the intervention group, 95% CI =-0.16 to 0.85; decreased by 0.08 in the control group, 95% CI =-0.42 to 0.25; interaction P =0.01, Cohen s d =0.17). A permutation test with 1 000 iterations showed no statistically significant difference in global network strength between the two groups ( P =0.19), whereas the differences in overall network structure and maximum edge weight were both statistically significant (all P <0.05), with present hedonistic time perspective, SSBs consumption attitude and behavioral intention identified as the core intervention targets. Conclusion The comprehensive home-school collaborative intervention effectively reduces SSB consumption frequency among primary school students and improves behavioral intention and family functioning.

Objective: To classify the ABO blood group phenotypes of 5 cases from a family, and to explore the molecular mechanism for reduced B antigen expression in ABO blood group system. Methods: Serological identification of the ABO blood group was performed using microcolumn gel assay and saline tube method. The soluble antigens in saliva were detected by the agglutination inhibition assay. The full-length sequences and upstream promoter regions of ABO gene were sequenced for genotyping using PacBio SMRT sequencing technology. Results: The results of serological tests indicated the expression of B antigen decreased in 3 out of 5 blood samples. A mixed-field agglutination was observed with anti-B antibody. B antigen was not detected in all 5 saliva samples. The ABO genotype for all samples were ABO B.01/ABO O.01.02, and a novel mutation c. 28+5875C>T within the DNA-binding region of RUNX1 in +5.8-kb site were found in the B allele for 3 samples with reduced expression of B antigen. Conclusion: Results of serological and genetic analyses classify the 3 cases with reduced B antigen expression as B phenotype. The novel mutation c. 28+5875C>T of RUNX1 could be the key reason for reduced B antigen expression in 3 cases with B phenotype.

Objective:To explore the relationship between life events, anxiety, depression, and behavior problems in adolescents.Methods:From September to October 2022, the cluster sampling method was used to select 5 341 adolescents from 4 middle schools in Xinxiang urban area.The subjects and their parents were investigated by the adolescent self-rating life events check list (ASLEC), generalized anxiety disorder scale (GAD-7), patient health questionnaire (PHQ-9), and child behavior checklist (CBCL). SPSS 27.0 software was used for Spearman correlation analysis, and AMOS 28.0 software was used to construct the structural equation model.Results:The scores of anxiety, depression, and behavioral problems were 1 (0, 4), 1 (0, 4), and 3 (0, 10). The total score of life events was 5 (1, 13), and the dimensions scored as follows: interpersonal conflict 1 (0, 4), academic pressure 2 (0, 5), punishment 0 (0, 2), loss 0 (0, 0), health and adaptation problem 0 (0, 1), and others 0 (0, 2). There were positive correlations between life events and its dimensions, depression, anxiety and behavioral problems ( r=0.28-0.69, all P<0.01). In the overall population, anxiety and depression played parallel mediating roles in the impact of life events on behavior problems. Life events could positively predict anxiety ( β=0.68, P<0.01), and anxiety could positively predict behavior problems ( β=0.04, P=0.02). Life events could positively predict depression ( β=0.77, P<0.01), and depression could positively predict behavior problems ( β=0.18, P<0.01). The standardized total effect size of the impact of life events on behavioral problems was 0.622 (95% CI=0.564-0.675). The standardized direct effect size and indirect effect size were 0.460 (95% CI=0.374-0.539) and 0.162 (95% CI=0.108-0.218), accounting for 74.0% and 26.0%of the total effect, respectively. After stratification by gender, the results for male adolescents were consistent with the overall population, while the mediating effect of anxiety was not significant in the female adolescents. Conclusion:Life events can lead to anxiety and depression in adolescents, thereby increasing the risk of behavior problems.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective: To investigate the association between emotional intelligence and sleep problems at the symptom level among junior and senior high school students, so as to provide new insights for interventions targeting junior and senior high school students sleep disorders. Methods: From November 2023 to May 2024, a stratified cluster random sampling method was employed to select 3 531 first year junior high school and first year senior high school students from 6 schools in Guangyuan City and Liangshan Yi Autonomous Prefecture in Sichuan Province, as well as Lhasa City in Tibet Autonomous Region. The Insomnia Severity Index Scale and the Wong and Law Emotional Intelligence Scale(WLEIS) were used to assess sleep problems and emotional intelligence. A network analysis was performed to explore the relationship between emotional intelligence and sleep disorders, and a gender based network comparison analysis was conducted. Results: The reported rate of sleep problems among junior and senior high school students was 47.3%, with severe sleep problems of 2.2%. Difficulty maintaining sleep, worry about sleep, and emotional application were the core symptoms in the network (node strength values: 1.11, 0.98, and 0.82, respectively). Dissatisfaction with sleep and emotional application served as bridge symptoms connecting emotional intelligence and sleep problems (bridge strength values: 1.77 and 1.59, respectively). The edge weights of the emotional intelligence and sleep problems network differed significantly between genders (maximum difference in edge weight values was 0.13， P <0.05). Conclusions Emotional application ability and dissatisfaction with sleep are the key nodes in the network connecting emotional intelligence and sleep problems. Targeted efforts to enhance emotional application ability may effectively reduce the risk of sleep problems among junior and senior high school students.

Objective:To explore the advantages of individualized 3D-printed vaginal cylinder template-guided interstitial brachytherapy (3D-p-VC-ISBT) in locally advanced cervical cancer, aiming to provide reference for clinical adaptive brachytherapy.Methods:Clinical data of 20 patients with locally advanced cervical cancer admitted to Renji Hospital affiliated to Shanghai Jiao Tong University School of Medicine from September, 2021 to August, 2023 were retrospectively analyzed. The median age was 54 years old (32-69 years). Among them, 3 patients were diagnosed with adenocarcinoma and 17 cases of squamous cell carcinoma. According to the treatment method, all patients were divided into intracavitary brachytherapy group (ICBT-plan group, n=10) and 3D-p-VC-ISBT group (3D-p-VC-ISBT treatment-plan group, n=10). A pretreatment plan was designed for each patient undergoing 3D-p-VC-ISBT. The pretreatment plans were formed as the pretreatment-plan group. Dose volume histogram was used to evaluate dose distribution of the targets and organs at risk (OAR). Comparison between two groups was analyzed by Mann-Whitney test and comparison among three treatment plans (ICBT, 3D-p-VC-ISBT treatment-plan and 3D-p-VC-ISBT pretreatment-plan) was analyzed by Kruskal-Wallis test. Results:The mean D 90rel (representing the dose received by 90% volume of the target area divided by the prescription dose) of high-risk clinical target volume (HR-CTV) in 3D-p-VC-ISBT, pretreatment-plan and ICBT-plan groups were 100.47%, 104.66% and 85.91%, respectively. The conformity indexes were 0.66, 0.72 and 0.68, respectively. There was no significant difference in D 0.01 cm3, D 2 cm3 and D 5 cm3 of bladder, rectum and sigmoid colon among the three groups (all P>0.05). For the 3D-p-VC-ISBT treatment-plan group, the D 2 cm3 values of the small intestine at 6 Gy and 7 Gy prescription doses were 169.51 cGy and 111.93 cGy respectively, which were superior to those of the ICBT-plan group (343.07 cGy at 6 Gy prescription, P<0.01). Conclusions:Individualized 3D-p-VC-ISBT is superior to ICBT in terms of dose distribution of HR-CTV, and it can adaptively adjust the insertion plan according to changes in tumor volume and position, making the operation safer and more efficient.