Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

To investigate the awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region and its influencing factors, thereby providing a basis for targeted prevention and treatment efforts.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

BACKGROUND: High temperatures are known to be associated with an increased risk of self-harm, but the influence of demographic changes and country-level indicators on the burden of heat-related self-harm remains unclear. This study examined the key factors driving changes in self-harm mortality linked to high temperatures and explored their impact at the country level. METHODS: This is an ecological study that analyzes data from the 2021 Global Burden of Disease (GBD) study, the World Bank, and the Climate Research Unit (CRU) were analyzed. Decomposition analyses were used to identify key factors driving changes in high temperature-related self-harm mortality between 1990 and 2021. A panel data model assessed the impact of national indicators on heat-related self-harm mortality. RESULTS: In 2021, 14,885 deaths globally were attributed to heat-related self-harm, a 41.94% increase from 1990, with low-middle SDI regions accounting for 47.84% of these deaths. While the global death rate from heat-related self-harm declined slightly over this period, South Asia and low-middle SDI regions contributed most to the decline. However, population aging exacerbated mortality rates. Demographic and meteorological factors were also linked to heat-related self-harm. CONCLUSION The global decline in heat-related self-harm mortality is largely driven by reductions in females, low-middle SDI regions, and South Asia. However, population aging and growth in these regions have added to the mortality burden, slowing the overall decline. Factors such as population density are also associated with heat-related self-harm. Targeted measures are needed to mitigate heat-induced self-harm more effectively in future.
Humans ; Self-Injurious Behavior/etiology* ; Hot Temperature/adverse effects* ; Global Health/statistics & numerical data* ; Female ; Male ; Adult ; Middle Aged ; Aged ; Young Adult ; Adolescent

Objective To explore the efficacy of bilateral facial muscle training combined with visual electromyography biofeedback on facial nerve function recovery in patients with idiopathic facial nerve palsy. Methods Patients with idiopathic facial nerve palsy admitted to Shanghai Fifth People’s Hospital, Fudan University from July 2022 to July 2024 were selected and randomly divided into a control group and an intervention group. The control group received conventional physical factor therapy, while the intervention group received bilateral facial muscle training combined with visual electromyography biofeedback therapy based on the control group’s regimen. After 20 treatment sessions, the total effective rate, the House-Brackmann (H-B) facial nerve grading system, the Sunnybrook Facial Grading System (SFGS) score, and the average value ratio of maximal amplitudes of bilateral frontalis and zygomaticus muscles were compared between the two groups. Results A total of 90 patients were included, 45 in each group. After 20 treatment sessions, the total effective rate was significantly higher in the intervention group than in the control group (84.4% vs 75.6%, P＝0.003). Compared with the control group, the intervention group demonstrated a significantly lower H-B grade (P＝0.003) and a higher SFGS score (P＝0.001). The average value ratios of maximal amplitudes of the affected versus healthy side frontalis (P＝0.013) and zygomatic (P＝0.022) muscles were higher in the intervention group than in the control group. Conclusions Bilateral facial muscle training combined with visual electromyography biofeedback is an effective approach for treating idiopathic facial nerve palsy, effectively promoting the recovery of facial nerve function, and improving facial symmetry and facial muscle function.

Objective To explore the efficacy of ranibizumab combined with retinal laser photocoagulation in patients with macular edema secondary to branch retinal vein occlusion(BRVO)and its impact on best-corrected visual acuity(BCVA)and central macular thickness(CMT).Methods A prospective analysis was conducted on 70 patients with secondary macular edema caused by BRVO who were admitted to the 901th Hospital of Joint Logistics Support Force from March 2019 to March 2023.According to the random number table method,the patients were assigned into study group or control group,with 35 cases in each group.The control group was treated with ranibizumab,while the study group was treated with ranibizumab and retinal laser photocoagulation.The efficacy,BCVA,CMT,intraocular pressure,adverse reactions,and 36-item short form health survey(SF-36)score were compared between the two groups.Results There was a significant difference in the efficacy between the two groups(Z=2.272,P<0.05),and the total effective rate of the study group was higher than that of the control group(P<0.05).The results of repeated measure ANOVA showed that CMT and intraocular pressure decreased significantly,while BCVA increased significantly in both groups after 3 months,6 months,and 12 months of treatment(P<0.05);moreover,these parameters in the study group were superior to those in the control group(P<0.05).There were no significant differences in the incidence of cataracts,transient intraocular pressure elevation,subconjunctival hemorrhage,retinal detachment,or the total incidence of adverse reactions between the two groups(P>0.05).After 12 months of treatment,the total score of SF-36 increased in both groups(P<0.05),and the difference value of total score of SF-36 in the study group was superior to that in the control group(P<0.05).Conclusion The combination of ranibizumab and retinal laser photocoagulation can achieve a good therapeutic effect on macular edema caused by BRVO.It can effectively improve BCVA,CMT and intraocular pressure,reduce the risk of adverse reactions,and enhance the quality of life.

Osteoarthritis(OA)is a degenerative joint disease primarily characterized by articular cartilage degeneration.Autophagy is a crucial intracellular homeostatic system that plays a vital role in maintaining normal cartilage function.By regulating cell apoptosis and repairing damaged chondro-cytes,autophagy protects cartilage,and dysfunction in chondrocyte autophagy is an important patho-genic mechanism underlying cartilage degeneration in OA.MicroRNAs(miRNA)can regulate gene expression and play a key role in chondrocyte development and functional maintenance.MiRNA in-volved in the regulation of autophagy are aberrantly expressed in OA,suggesting that miRNAs may serve as potential targets and biomarkers for early prediction,diagnosis,and effective treatment of OA.This review discussed the role of autophagy in OA and the regulatory role of miRNA in OA de-velopment,with a focus on the role of miRNA-mediated regulation of chondrocyte autophagy in OA pathogenesis and its potential therapeutic value.

Objective To assess the clinical value of a novel surgical technique—Tubeless subxiphoid uniportal video-assisted thoracoscopic surgery with percutaneous suspension technique via balance-shaped sternal elevation device in the resection of anterior mediastinal masses. Methods Patients who underwent tubeless subxiphoid uniportal video-assisted thoracoscopic surgery via balance-shaped sternal elevation device in anterior mediastinal masses process at the Department of Thoracic Surgery, West China Hospital, Sichuan University from March to April 2025 were included, and their clinical data were analyzed. Results A total of 4 patients were included, with 2 males and 2 females, aged 58-75 years. The diameter of the tumor was 2.5-3.0 cm. The operation time was 60.0-150.0 min, intraoperative blood loss was 5-10 mL, pain score on the 3rd day after surgery was 0 points, and postoperative hospital stay was 2-3 days. All patients achieved complete resection of the masses and thymus without perioperative complications. Conclusion The tubeless subxiphoid uniportal video-assisted thoracoscopic surgery with percutaneous suspension technique via balance-shaped sternal elevation device technique optimizes surgical visualization and instrument maneuverability while avoiding complications related to conventional anesthesia and tubing, thereby markedly enhancing the minimally invasive profile of anterior mediastinal masses resections. In addition to maintaining procedural safety, this approach effectively reduces postoperative pain and accelerates patient recovery, highlighting its potential for widespread clinical adoption.

Objective: To explore the clinical efficacy of Xiaoshuan enteric-coated capsule (XSECC) in treating cerebral infarction and its potential mechanism of action. Methods: Patients with acute ischemic stroke (AIS) of the qi deficiency and blood stasis type were randomly assigned to the control and observation groups. They were evaluated using the National Institutes of Health Stroke Scale (NIHSS), Activities of Daily Living (ADL), Hachinskilnchemic Scale (HIS), Barthel Index (BI), clinical efficacy scores, and TCM syndrome scores on days 0, 14, 30, and 90. Furthermore, VEGF and BDNF levels were measured on days 30 and 90. Finally, we analyzed the changes in each scale score and vascular neurological factor in both groups. Results: After 14 days of treatment, the difference values in NIHSS, ADL, and BI were higher, and TCM syndrome and clinical efficacy scores were increased in the observation group compared with those of the control group (all P < .05). After 30 days, the NIHSS, ADL, HIS, and TCM syndrome scores were decreased compared with those of the control group, while BI and clinical efficacy scores were increased (all P < .05). After 90 days, the difference value in ADL was higher, and TCM syndrome score was increased in the observation group compared with that of the control group (P = .047, P = .005, respectively). The levels of VEGF and BDNF were higher in the observation group than in the control group on days 14, 30, and 90 (all P < .05). VEGF and BDNF levels on day 0 were associated with prognosis of patients with AIS; therefore, they have a predictive value for the prognosis of acute cerebral infarction. Conclusions XSECC therapy can improve clinical outcomes in patients with acute and recurrent cerebral infarctions. Its mechanism of action may be associated with the secretion of VEGF and BDNF.