Objective To investigate the causal relationship between metabolic syndrome and breast cancer by using a bidirectional two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary statistics for metabolic syndrome and breast cancer were acquired from the Integrative Epidemiology Unit GWAS database and the GWAS Catalog, with populations encompassing the United States and East Asia. A bidirectional causal design was employed: a forward analysis with metabolic syndrome as the exposure and breast cancer as the outcome, followed by a reverse analysis wherein their roles were interchanged. The inverse-variance weighting (IVW) method was primarily used for effect estimation, supplemented by MR-Egger regression, the weighted median method, the simple mode method, and the weighted mode method. Instrument variable strength was screened using the F-statistic (F>10). Robustness of the results was assessed through heterogeneity tests, horizontal pleiotropy tests, forest plots, and leave-one-out sensitivity analyses. Results The IVW analysis indicated no significant causal relationship between metabolic syndrome and breast cancer (OR=1.00, 95%CI: 0.97-1.03), P>0.05). Sensitivity analyses yielded consistent results, suggesting the good robustness of the study findings. Conclusion This study found no evidence to support a causal relationship, either positive or negative, between metabolic syndrome and breast cancer.

Objective: To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization. Methods: In this prospective observational cohort study, 492 adults undergoing open-chest cardiac surgery between August 15, 2023 and December 31, 2023 were analyzed. Prespecified predictors included gas exchange variables, pulmonary function, inspiratory muscle strength, and physical performance. Univariable and multivariable logistic regression analyses were used to develop the prediction model. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC). Results: A total of 90 patients (14.1%) developed PPCs after surgery. Five independent predictors were identified: elevated arterial PaCO2 (odds ratio [OR] 1.12, 95% confidence interval [CI] 1.00–1.26), oxygen desaturation (SpO2<93%) (OR 12.47, 95% CI 3.51–48.13), reduced gait speed (OR 0.17, 95% CI 0.04–0.71), lower FEV1/FVC ratio (OR 0.96, 95% CI 0.92–1.00), and diminished inspiratory muscle strength (MIP % predicted) (OR 0.96, 95% CI 0.92–0.99). The model demonstrated good discriminative ability with an AUC of 0.86 (95% CI 0.80–0.93) in the training cohort and 0.87 (95% CI 0.74–0.93) in the validation cohort. Conclusion This parsimonious model achieved high predictive accuracy using five modifiable physiological variables. By targeting abnormalities in gas exchange, pulmonary mechanics, muscle strength, and functional reserve, the model offers a practical tool to guide individualized prehabilitation strategies for reducing PPC risk in cardiac surgery patients.

To address the scarcity of annotated data for pediatric abdominal CT imaging and the insufficient generalization capability of existing models, we constructed a self-supervised pretraining architecture tailored for pediatric CT domain adaptation based on the visual foundation model DINOv3, and validated its performance in the task of pediatric abdominal multi-organ segmentation.

ObjectiveTo compare the incidence of postoperative shivering between female patients undergoing gynecological and general surgery and to examine perioperative factors associated with postoperative shivering. MethodsThis retrospective study included 12 186 patients who underwent gynecological or general surgery between January 1， 2022， and March 15， 2024， of whom 10 884 female patients constituted the primary analysis population. Among the female patients， 1：1 nearest-neighbor propensity score matching was performed using a caliper of 0.02 on the raw propensity score scale， with exact matching on American Society of Anesthesiologists （ASA） physical status. After matching， the incidence of postoperative shivering was compared using the McNemar test. Conditional logistic regression stratified by matched pair was used to assess the associations of surgical categories and perioperative factors with postoperative shivering. ResultsBefore propensity score matching， the incidences of postoperative shivering were 2.98% （28/940） in the general surgery group and 4.94% （491/9 944） in the gynecological surgery group （P=0.007）. After matching， 881 matched pairs were obtained， and the absolute standardized mean differences （SMDs） for all covariates were < 0.10. The incidences of postoperative shivering were 3.06% （27/881） in the general surgery group and 4.99% （44/881） in the gynecological surgery group. The McNemar test without continuity correction yielded P=0.044， whereas the exact McNemar test showed a P value of 0.057. Unifactorial conditional logistic regression showed that gynecological surgery was associated with higher odds of postoperative shivering than general surgery ［odds ratio （OR）=1.63， 95% confidence interval （CI）： 1.01-2.63， P=0.046］. However， the association was not statistically significant in the multifactorial conditional logistic regression ［adjusted odds ratio （aOR）=1.62， 95%CI： 0.78-3.37， P=0.197］. Each 30-min increase in the duration of surgery was associated with 32% higher odds of postoperative shivering （aOR=1.32， 95%CI： 1.07-1.62， P=0.009）. Each 1 °C increase in the minimum intraoperative body temperature was associated with lower odds of postoperative shivering， although the association did not reach statistical significance （aOR=0.32， 95%CI： 0.10-1.02， P=0.053）. ConclusionAfter propensity score matching， the incidence of postoperative shivering was higher among female patients undergoing gynecological surgery than among those undergoing general surgery； however， neither the exact comparison nor the adjusted association reached statistical significance. A longer duration of surgery was associated with higher odds of postoperative shivering， whereas a higher minimum intraoperative body temperature may be associated with lower odds.

ObjectiveTo compare the incidence of postoperative shivering between female patients undergoing gynecological and general surgery and to examine perioperative factors associated with postoperative shivering. MethodsThis retrospective study included 12 186 patients who underwent gynecological or general surgery between January 1， 2022， and March 15， 2024， of whom 10 884 female patients constituted the primary analysis population. Among the female patients， 1：1 nearest-neighbor propensity score matching was performed using a caliper of 0.02 on the raw propensity score scale， with exact matching on American Society of Anesthesiologists （ASA） physical status. After matching， the incidence of postoperative shivering was compared using the McNemar test. Conditional logistic regression stratified by matched pair was used to assess the associations of surgical categories and perioperative factors with postoperative shivering. ResultsBefore propensity score matching， the incidences of postoperative shivering were 2.98% （28/940） in the general surgery group and 4.94% （491/9 944） in the gynecological surgery group （P=0.007）. After matching， 881 matched pairs were obtained， and the absolute standardized mean differences （SMDs） for all covariates were < 0.10. The incidences of postoperative shivering were 3.06% （27/881） in the general surgery group and 4.99% （44/881） in the gynecological surgery group. The McNemar test without continuity correction yielded P=0.044， whereas the exact McNemar test showed a P value of 0.057. Unifactorial conditional logistic regression showed that gynecological surgery was associated with higher odds of postoperative shivering than general surgery ［odds ratio （OR）=1.63， 95% confidence interval （CI）： 1.01-2.63， P=0.046］. However， the association was not statistically significant in the multifactorial conditional logistic regression ［adjusted odds ratio （aOR）=1.62， 95%CI： 0.78-3.37， P=0.197］. Each 30-min increase in the duration of surgery was associated with 32% higher odds of postoperative shivering （aOR=1.32， 95%CI： 1.07-1.62， P=0.009）. Each 1 °C increase in the minimum intraoperative body temperature was associated with lower odds of postoperative shivering， although the association did not reach statistical significance （aOR=0.32， 95%CI： 0.10-1.02， P=0.053）. ConclusionAfter propensity score matching， the incidence of postoperative shivering was higher among female patients undergoing gynecological surgery than among those undergoing general surgery； however， neither the exact comparison nor the adjusted association reached statistical significance. A longer duration of surgery was associated with higher odds of postoperative shivering， whereas a higher minimum intraoperative body temperature may be associated with lower odds.

Background Acute hypoxia exposure can impair synaptic transmission in hippocampal neurons and disrupt neural network function. However, the specific molecular mechanisms underlying hypoxia-induced synaptic vesicle dysfunction remain not fully elucidated. Objective To investigate the molecular mechanisms underlying acute hypoxia-induced synaptic vesicle dysfunction in human hippocampal neuronal cells (HPPNCs) with a particular focus on the regulatory role of long non-coding RNA (lncRNA) FTX in the miR-137-3p/soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) complex axis. Methods An acute hypoxia injury model was established in HPPNCs. Cell counting kit-8 (CCK-8) assay was used to determine the optimal seeding density and hypoxic exposure duration. Proteomic analysis was utilized to identify differentially expressed proteins (DEPs) between normoxic and hypoxic conditions, followed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to identify affected biological pathways. Bioinformatics prediction (e.g, RPISeq prediction of RNA-protein interactions) was integrated with quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting to evaluate changes in DEPs and the lncRNA FTX/miR-137-3p axis. Small interfering RNA (siRNA) silencing and interaction potential prediction were further employed to confirm the regulatory role of lncRNA FTX. Results CCK-8 assay determined that the optimal seeding density for HPPNCs was 3.5×10³ cells·well⁻¹ and that 48 h of acute hypoxia exposure significantly reduced cell viability. Proteomic analysis revealed that DEPs were primarily enriched in the synaptic vesicle cycle pathway. Synaptosomal-associated protein 25 (SNAP25), a core component of the SNARE complex, was significantly downregulated at both mRNA and protein levels (P < 0.01). Mechanistic studies found that lncRNA FTX expression was significantly decreased in hypoxic cells, whereas miR-137-3p expression was significantly elevated. Furthermore, siRNA silencing of lncRNA FTX significantly reduced SNAP25 expression. RPISeq prediction suggested a potential interaction between lncRNA FTX and the SNAP25 protein (random forest, RF=0.75; support vector machine, SVM=0.56). Conclusion Acute hypoxia exposure may impair synaptic vesicle function in hippocampal neuronal cells by downregulating lncRNA FTX, increasing miR-137-3p expression, and suppressing SNAP25 expression, thereby disrupting the SNARE complex. These findings suggest that the lncRNA FTX/miR-137-3p/SNAP25 axis may play an important role in acute hypoxia-induced synaptic dysfunction.

ObjectiveTo observe the clinical efficacy of acupuncture combined with bloodletting and cupping in the treatment of chronic spontaneous urticaria（CSU） and to explore its potential mechanisms of action. MethodsSeventy CSU patients were randomly divided into loratadine group and acupuncture + bloodletting group， with 35 patients in each group. The loratadine group received oral loratadine tablets， 10 mg once daily in the evening. The acupuncture + bloodletting group received acupuncture at Zhongwan （CV 12）， Guanyuan （CV 4）， Tianshu （ST 25）， Zusanli （ST 36）， Sanyinjiao （SP 6）， Xuehai （SP 10）， Quchi （LI 11）， Hegu （LI 4）， Taichong （LR 3）， Baihui （GV 20）， and Shenting （GV 24）， once daily，along with bloodletting and cupping at Dazhui （GV 14） and Geshu （BL 17）， every other day. Both groups were treated for 4 weeks. The 7-day urticaria activity score（UAS7） was assessed before and after the treatment， and levels of serum immunoglobulin E （IgE）， interleukin-4 （IL-4）， interleukin-5 （IL-5）， eosinophil cationic protein （ECP）， plasma tissue factor （TF）， activated factor Ⅶ （FⅦa）， prothrombin fragment 1+2 （F1+2）， D-dimer （D-D） and complement component 5a （C5a） were detected. ResultsA total of 65 patients were included in the final analysis， 32 in the loratadine group and 33 in the acupuncture + bloodletting group. Before treatment， there was no significant difference in UAS7 score， serum IgE， IL-4， IL-5， ECP levels， or plasma TF， FⅦa， F1+2， D-D， C5a levels between groups （P＞ 0.05）. After treatment， both groups showed significant reductions in UAS7 score， serum IgE， IL-4， IL-5， and plasma TF， FⅦa， F1+2， D-D， and C5a levels compared to those before treatment （P＜0.01）. However， after treatment， there was no significant difference in UAS7 score and serum ECP， IgE， IL-4， IL-5 levels between groups （P＞0.05）. The acupuncture + bloodletting group showed lower plasma TF， FⅦa， F1+2， D-D and C5a levels compared to the loratadine group （P＜0.05 or P＜0.01）. ConclusionAcupuncture combined with bloodletting and cupping can effectively improve the skin symptoms of CSU patients and reduce the levels of inflammatory factors. The potential mechanism of action may involve the regulation of the coagulation-complement-mast cell activation axis， thereby inhibiting mast cell degranulation.

AIM: To investigate the abnormal conditions and change patterns of accommodative facility in patients with different refractive states before and after small incision lenticule extraction(SMILE)surgery.METHODS:A prospective clinical cohort study was conducted. A total of 59 patients(118 eyes)who underwent SMILE surgery and had visual function files established in our hospital from June to December 2023 were randomly selected, including 37 males and 22 females, aged 18-35 years(with an average age of 25.19±5.65 years). According to the preoperative spherical equivalent(SE), they were divided into two groups: the low-to-moderate myopia group(SE≥-6.00 DS)with 40 patients(80 eyes), and the high myopia group(SE<-6.00 DS)with 19 patients(38 eyes). The monocular and binocular accommodative facility before surgery and at 1 wk and 1 mo after surgery were compared, and the changes in accommodative facility before and after SMILE surgery in the two groups of patients were analyzed.RESULTS:All surgeries were completed successfully. In the low-to-moderate myopia group, 33 cases(66 eyes)completed the 1-month follow-up after surgery, with a loss to follow-up rate of 17.5%(7/40). In the high myopia group, 15 patients(30 eyes)completed the 1-month follow-up after surgery, with a loss to follow-up rate of 21.1%(4/19). After SMILE surgery, the uncorrected visual acuity and SE of both low-to-moderate myopia and high myopia were significantly improved(all P<0.05). The accommodative facility of the right eyes in all the patients at 1 mo after surgery was better than that before surgery and at 1 wk after surgery(P=0.002, 0.006), the accommodative facility of the left eyes was significantly increased at 1 mo after surgery than that at 1 wk after surgery(P=0.005), and the binocular accommodative facility at 1 mo after surgery was significantly increased compared with that before surgery(P<0.017). Furthermore, there were statistical significance in accommodative facility of the right eyes in the low-to-moderate group at 1 mo compared with that before surgery and at 1 wk after surgery(P=0.011, 0.004); it was significantly increased in the left eyes at 1 mo after surgery compared with that at 1 wk after surgery(P=0.001), and binocular accommodative facility at 1 mo after surgery was significantly better than that before surgery(P<0.001). Furthermore, there was no statistical significance in the right, left and binocular accommodative facility of patients in the high myopia group(all P>0.017).CONCLUSION: After SMILE surgery, the monocular accommodative facility shows a transient decrease and then exceeds the preoperative level at 1 mo after surgery, and the binocular accommodative facility gradually improves after surgery. SMILE surgery has a positive impact on the monocular and binocular accommodative facility in patients with low-to-moderate myopia, but has no significant impact on the accommodative facility in patients with high myopia. It is of clinical significance to strengthen the detection of monocular and binocular accommodative facility before and after SMILE surgery.

Objective To analyze the characteristics and risk factors associated with postoperative deep vein thrombosis(DVT)of the lower extremities in patients undergoing surgery for lumbar degenerative diseases.Methods A retrospective analysis was conducted on clinical data from 298 patients who were hospitalized for lumbar degenerative diseases and underwent lumbar spine surgery treatment in the First Affiliated Hospital of Nanchang University from October 1,2022 to April 15,2023.Patients were divided into DVT group(n=71)and non-DVT group(n=227)according to whether DVT of the lower limbs occurred within 1 week postoperatively.The incidence and distribution characteristics of postoperative DVT were analyzed.Univariate and binary logistic regression analyses were performed to identify risk factors for DVT,and receiver operating characteristic(ROC)curves were used to determine cut-off values for relevant risk factors.Results A total of 298 patients were included,among whom 159 were males(53.4%)and 139 were females(46.6%),with an average age of(64.5±9.8)years.DVT occurred in 71 patients,and the incidence of lower extremity DVT was 23.8%.In the DVT group,there were 49 cases(69.0%)of intermuscular vein thrombosis,and 22 cases of other types of thrombosis(7 cases of peroneal vein thrombosis,4 cases of posterior tibial vein thrombosis,3 cases of common femoral vein thrombosis,1 case of anterior tibial vein thrombosis,and 7 cases of multiple thrombosis);58 cases(81.7%)had DVT in one lower extremity,and 13 cases(18.3%)had DVT in both lower extremities.Univariate analysis results showed that age,body mass index(BMI),length of hospital stay,history of hypertension,operative time,and intraoperative blood loss were associated with the occurrence of lower extremity DVT after surgery for lumbar degenerative diseases(P<0.05).Binary logistic regression analysis results indicated that older age(OR=1.079,P<0.01),higher BMI(OR=1.130,P=0.01),history of hypertension(OR=2.992,P<0.01),and larger intraoperative blood loss(OR=1.002,P=0.03)were independent risk factors for the occurrence of lower extremity DVT.ROC curve analysis demonstrated that patients with age>58.5 years,BMI>24.01 kg/m2,history of hypertension,and intraoperative blood loss>550 ml had a significantly increased risk of postoperative lower limb DVT.Conclusions The incidence of lower extremity DVT after surgery for lumbar degenerative disease is high,and intermuscular venous thrombosis is more common.Older age,higher BMI,history of hypertension,and larger intraoperative blood loss are independent risk factors for the occurrence of lower extremity DVT after surgery.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.