Objective To explore the clinical efficacy and safety of endoscopic endonasal dorsum sellae and posterior clinoid process resection combined with pituitary hemi-transposition in the treatment of pan-sellar area lesions. Methods Clinical data from 57 patients with pan sellar diseases who underwent endoscopic transnasal resection of the posterior clinoid process combined with lateral pituitary displacement surgery in the neurosurgery department of Zhongshan Hospital, Fudan University from January 2019 to January 2025 were collected, and their clinical surgical characteristics and prognosis were analyed. Results A total of 57 patients with pan-sellar area lesions were included in this study, comprising 27 craniopharyngiomas, 7 giant suprasellar pituitary adenomas, 7 chordomas, 6 chondrosarcomas, 5 diaphragma sellae/dorsum sellae meningiomas, and 5 rare lesions. All procedures were completed successfully, and gross total or near-total resection was achieved in all patients. No new neurovascular complications occurred intraoperatively. The follow-up duration ranged from 3 to 24 months. New postoperative anterior pituitary insufficiency occurred in 3 patients (5.3%), and new posterior pituitary insufficiency requiring long-term hormone replacement therapy occurred in 4 patients (7.0%). No additional pituitary dysfunction was observed in the remaining patients. Cerebrospinal fluid rhinorrhea occurred in 1 patient (1.8%) and was successfully repaired. Intracranial infection occurred in 3 patients (5.3%) and resolved after medical treatment. Conclusion Endoscopic resection of the posterior clinoid process combined with lateral displacement of the pituitary gland can effectively expand the surgical space, while repositioning the pituitary gland can reduce the extent of skull base defects. In addition, the risk of pituitary dysfunction caused by lateral displacement of the pituitary gland is relatively low.

Objective To apply an artificial intelligence (AI) -based pelvic floor optimization training system using human motion analysis technique in patients undergoing pelvic floor rehabilitation, so as to assist clinicians in providing guidance, improving clinical efficiency, and enhancing the efficacy of patients' independent training. Methods A total of 60 patients with overactive bladder (OAB) complicated with urgent urinary incontinence (UUI) treated in our hospital during Sep. 2024 and Dec. 2025 were enrolled and randomly divided into the routine guidance group (n=30) and AI guidance group (n=30). The routine guidance group received conventional pelvic floor optimization training under clinicians' instruction, while the AI guidance group underwent training with the AI-based pelvic floor optimization system using human motion analysis. After 6 weeks of intervention, outcomes were compared between the two groups, including the international consultation on incontinence questionnaire-short form (ICI-Q-SF), incontinence quality of life scale (I-QoL), overactive bladder symptom score (OABSS), patient's perception of bladder condition (PPBC) score, pelvic floor muscle function (myoelectric values in the preresting, post-resting, type Ⅰ muscle, type Ⅱ muscle, and endurance test phases), urine output, average flow rate (Qavg), and maximum flow rate (Qmax). Results After 6 weeks of treatment, the ICI-Q-SF, I-QoL, OABSS, PPBC score, type I muscle myoelectric value, Qavg and Qmax were significantly improved in both groups compared with baseline (P＜0.05). After 6 weeks of intervention, the I-QoL score was significantly higher in the AI guidance group than in the routine guidance group[81.82 (79.55, 84.38) vs.77.84 (75.00, 79.55) ], with significant difference (P＜0.05). Compared with the routine guidance group, the AI guidance group showed significant improvements in myoelectric values in the pre-resting, post-resting, type I muscle and endurance testing phases (P＜0.05). Conclusion The AI-based pelvic floor optimization training system can effectively assist clinicians in guiding patients to complete pelvic floor optimization training, improve rehabilitation efficiency and efficacy of independent exercise, and reduce dependence on specialized clinicians, which exhibits favorable safety.

BackgroundAdverse childhood experiences （ACEs） are strong predictors of psychopathology across the lifespan， exerting extensive adverse effects on physical and mental health during early development. While ACEs increase the risk of childhood psychopathology， sleep quality and impair cognitive function， the early neurobiological mechanisms mediating ACE-induced cognitive impairment remain unclear. ObjectiveTo explore the association between ACEs exposure and the risk of psychopathology， sleep disorders， and cognitive function， and to examine the mediating role of the putamen volume in the relationship between ACEs and cognitive function from a neurodevelopment perspective. MethodsData were obtained from the Adolescent Brain Cognitive Development （ABCD） study， comprising 10 572 children aged 9 to 10. Participants were categorized into five groups based on the cumulative score of ACEs reported by their parents and the children themselves： no-exposure group （0 types of ACEs）， the one-exposure group， the two-exposure group， the three-exposure group， and the high-risk exposure group （≥ 4 types of ACEs）. Logistic regression analysis was employed to evaluate the association between ACEs and psychopathological symptoms ［T score of the Child Behavior Checklist （CBCL） ≥ 65］. Multiple linear regression analysis was ultilized to analyze the correlations between ACEs and the scores of the Sleep Disturbance Scale for Children （SDSC）， the NIH Toolbox Cognition Battery （NIHTB-CB）， as well as the multiple structures in the cerebral cortex and subcortex. The Bootstrap method was applied to test the mediating effect of the putamen volume between ACEs and neurocognitive function. ResultsAfter adjusting for confounders， ACEs cumulative score was correlated with children's psychopathological symptoms in a dose-response manner. Compared with the no-exposed group， the high-risk exposure group had a 2.08-fold （OR=2.080， 95% CI： 1.401–3.088） increased risk of internalizing problems and a 3.13-fold （OR=3.132， 95% CI： 1.703–5.760） increased risk of externalizing problems， and the risk of conduct problems was 4.68 times that of the no-exposed group （OR=4.681， 95% CI： 2.528–8.669）. ACEs cumulative score positively predicted the total score of SDSC （β=0.080， 95% CI： 0.059–0.102）， with relatively stronger predictive effects on sleep-wake transition disorder （β=0.086， 95% CI： 0.063–0.109） and sleep onset and maintenance disorder （β=0.066， 95% CI： 0.043–0.089）. In terms of neurocognition and brain structure， ACEs cumulative score negatively predicted the overall cognitive composite score （β=-0.025， 95% CI： -0.050–-0.001）， the crystallized cognitive composite score （β=-0.035， 95% CI： -0.060–-0.010）， the volume of the left putamen nucleus （β=-0.025， 95% CI： -0.046– 0.003）， and the volume of the right putamen nucleus （β=-0.023， 95% CI： -0.044– 0.003）. The total putamen volume played a partial mediating role between ACEs and the overall cognitive composite score， the effect value was -0.002 （95% CI： -0.004–-0.001）， accounting for 7.49% of the total effect. ConclusionACEs exposure may increase the risk of psychopathological and sleep disturbances in children and may impair neurocognitive function. Reduced putamen volume may serve a potential neurobiological pathway underlying the impact of ACEs on childhood cognition. ［Funded by National Natural Science Foundation of China-Young Scientists Program （number， 82401763）； Sichuan University West China Hospital Full-time Postdoctoral Research and Development Fund Project （number， 2023HXBH084）］

Objective To analyze the emergency testing results of a mixed poisoning incident involving methyl acetate and dimethyl carbonate in a composite fabric processing enterprise. Methods A mixed poisoning incident involving methyl acetate and dimethyl carbonate occurred at a composite fabric processing enterprise in a city of Guangdong Province. On-site occupational health investigation data and laboratory testing results related to this incident were collected, and an integrated analysis was conducted. Results The on-site occupational health investigation revealed inadequate ventilation and non-standard use of personal protective equipment. Volatile organic component analysis of raw and auxiliary materials showed that methyl acetate and dimethyl carbonate had relatively high percentages of peak area among all used volatile organic chemical agents in post-incident emergency testing, accounting for 65.10% and 38.25%, respectively. The exposure concentration of short term (C_STE) of methyl acetate in the production line air was 15.13 mg/m³. In the chemical storage area, C_STE of methyl acetate and methanol were 451.04 and <0.21 mg/m³, respectively, all below their respective occupational exposure limits (500.00 and 50.00 mg/m³). In the poisoned workers, blood methanol, blood formic acid, and urinary formic acid levels were 147, 414, and 4 389 mg/L, respectively. Conclusion Occupational exposure to methyl acetate and dimethyl carbonate may lead to acute occupational poisoning and cause health damage. Employers should fulfill their responsibilities for occupational disease prevention by ensuring proper operation of protective facilities, while workers should enhance awareness of occupational disease prevention and correctly use personal protective equipment.

BACKGROUND:Zinc-based alloy medical implant materials have excellent mechanical properties,complete degradability and good biocompatibility,and are mainly used in orthopedic implants,cardiovascular stents,bile duct stents,tracheal stents,nerve catheters,etc. OBJECTIVE:To review the research progress of biodegradable zinc-based alloys in bone defect repair and prospect the promising research direction and achievements of zinc-based materials. METHODS:After searching PubMed,Web of Science,WanFang Data,and CNKI databases from the establishment of the database to June 2023,various relevant articles on biodegradable zinc-based alloys for bone implant material research were collected.The basic characteristics of biodegradable zinc based alloys were summarized,and the role of zinc-based alloys in promoting bone tissue repair was sorted and summarized.The current research hotspots and shortcomings were discussed. RESULTS AND CONCLUSION:(1)Zinc-based alloys have good biocompatibility.Using zinc-based alloys as the matrix material,with the help of scaffold structure construction technology and coating optimization process,the bone conductivity of zinc-based alloys will be effectively improved,and their degradation products will have efficient bone induction to regulate the gene expression of osteoblasts and osteoclasts,thereby promoting the repair and reconstruction of bone defects.(2)However,in the research on optimizing zinc-based alloys,the coating process is relatively insufficient,and additive loading technology is still lacking.(3)Zinc-based alloys have excellent mechanical and biological properties.Through special processes,their bone conductivity and osteoinductivity can be increased to effectively improve their ability to promote bone repair and reconstruction,and it is expected to further achieve the development of personalized transplant materials.Further research and development are needed to optimize the integration of coating and additive loading technologies into zinc-based alloys.

This paper summarized the current status of infection and quality control of medical flexible endoscope (abbreviation:endoscope),which can identify that defect of the quality control of endoscopic forceps channels was a major cause of nosocomial infections of endoscopy. Based on this,a multifunctional quality control workstation with forceps channel of detecting flexible endoscope,and precision components included top ends for medical endoscopes has been developed,which can clearly display residual contaminants and damages in the forceps channels and precision components after the endoscope was reprocessed. It is contribute to enhance the quality control of reprocessing endoscope,and reduce cross-infection of endoscope.

Objective Through in vitro experiments,biomechanical data of the transtibial pullout suture(TPS),tendon reconstruction(TR),and tendon reconstruction with suture augmentation(TRS)were collected,so as to evaluate the biomechanical effectiveness of tendon reconstruction for repairing medial meniscus posterior root tear(MMPRT).Methods Eighteen porcine knee joint models were divided into TPS,TR,and TRS groups.Sutures were used to fix the meniscal root in TPS group.Tendons were passed through an incision at the meniscal root in TR group.Tendons were passed through an incision at the meniscal root and secured at tendon-meniscus contact area with additional sutures in TRS group.The sutures and tendons were pulled out through tibial tunnels and fixed at the anteromedial tibia.All groups underwent failure load tests,and ultimate failure load,displacement at failure load,load at clinical failure,stiffness,and failure modes of the samples were recorded.Results The maximum failure load in TPS group was significantly higher than that in TR group(P＜0.05),but there was no significant difference between TPS group and TRS group(P＞0.05).The maximum failure load in TRS group was significantly higher than that in TR group(P＜0.05).The displacement under failure load in TR group and TRS group was significantly lower than that in TPS group(P＜0.05),but there was no significant difference between TR group and TRS group(P＞0.05).There were no significant differences in the load under clinical failure among the 3 groups(P＞0.05).The stiffness of TRS group was significantly greater than that of TPS group(P＜0.05),but no significant difference was observed between TR group and TPS group,as well as between TR group and TRS group(P＞0.05).All failures were caused by suture or tendon cutting through the meniscus.Conclusions The tendon reconstruction techniques is superior to the TPS in terms of failure displacement and stiffness,while the TRS further enhances the stability of the repair.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To determine the prevalence, risk factors, and longitudinal associations of loneliness during mid- to late pregnancy with anxiety and depressive symptoms in late pregnancy.Methods:In this prospective cohort study, 1 107 pregnant women at 24-28 weeks' gestation were enrolled between June 2021 and December 2022. Psychological status was assessed during mid-pregnancy (24-28 weeks) and late pregnancy (≥32 weeks) using standardized electronic questionnaires, including the Revised University of California Los Angeles Loneliness Scale (UCLA) Loneliness Scale-Short Form (Cronbach's α=0.82), Patient Health Questionnaire-9 ( α=0.86), and Generalized Anxiety Disorder-7 ( α=0.88). Multivariate logistic regression identified independent risk factors for loneliness. Cross-lagged path models analyzed the longitudinal predictions between loneliness and anxiety/depressive symptoms. Results:The prevalence of loneliness decreased significantly from 10.8% (120/1 107) in mid-pregnancy to 4.8% (37/777) in late pregnancy ( χ2=21.81, P<0.001). Multivariate analysis identified independent risk factors for loneliness: age <30 years ( OR=1.70, 95% CI: 1.15-2.50), annual household income <50 000 CNY ( OR=2.53, 95% CI: 1.28-5.02), unemployment during pregnancy ( OR=1.57, 95% CI: 1.03-2.39), history of alcohol consumption ( OR=1.63, 95% CI: 1.03-2.56), and the presence of mid-pregnancy depressive ( OR=2.76, 95% CI: 1.51-5.04) and anxiety symptoms ( OR=1.65, 95% CI: 1.01-2.71) (all P<0.05). Cross-lagged path models indicated bidirectional associations between loneliness and both anxiety ( β=0.32, P<0.01) and depressive symptoms ( β=0.28, P<0.01). However, the predictive effect of loneliness on subsequent depressive and anxiety symptoms ( β=0.28-0.32) was substantially stronger than the reverse prediction (mid-pregnancy anxiety on late-pregnancy loneliness: β=0.12; mid-pregnancy depression on late-pregnancy loneliness: β=0.11). Loneliness demonstrated high temporal stability (autoregressive effects β=0.29-0.32). Conclusion:Loneliness in mid-pregnancy exhibits a symmetric bidirectional association with anxiety and depressive symptoms in late pregnancy, suggesting it may be a core driver in the development of these emotional symptoms. Younger maternal age (<30 years), low household income (<50 000 CNY/year), unemployment during pregnancy, and a history of alcohol consumption were associated with a higher risk of loneliness and should be prioritized for psychological screening and intervention.

Diabetic kidney disease(DKD)with increasing global prevalence lacks effective therapeutic targets to halt or reverse its progression.Therapeutic targets supported by causal genetic evidence are more likely to succeed in randomized clinical trials.In this study,we integrated large-scale plasma proteomics,genetic-driven causal inference,and experimental validation to identify prioritized targets for DKD using the UK Biobank(UKB)and FinnGen cohorts.Among 2844 diabetic patients(528 with DKD),we identified 37 targets significantly associated with incident DKD,supported by both observational and causal evi-dence.Of these,22％(8/37)of the potential targets are currently under investigation for DKD or other diseases.Our prospective study confirmed that higher levels of three prioritized targets-insulin-like growth factor binding protein 4(IGFBP4),family with sequence similarity 3 member C(FAM3C),and prostaglandin D2 synthase(PTGDS)—were associated with a 4.35,3.51,and 3.57-fold increased likeli-hood of developing DKD,respectively.In addition,population-level protein-altering variants(PAVs)analysis and in vitro experiments cross-validated FAM3C and IGFBP4 as potential new target candidates for DKD,through the classic NLR family pyrin domain containing 3(NLRP3)-caspase-1-gasdermin D(GSDMD)apoptotic axis.Our results demonstrate that integrating omics data mining with causal inference may be a promising strategy for prioritizing therapeutic targets.