Background and Aims:Polycystic ovary syndrome(PCOS)is a common endocrine disorder among obese women,often accompanied by psychological issues such as anxiety and depression.Laparoscopic sleeve gastrectomy(LSG)is an effective treatment for obesity and its related metabolic conditions,and has shown clear benefits in improving weight and metabolic profiles in PCOS patients.However,the potential mechanisms by which psychological status may affect weight loss outcomes remain unclear.This study aimed to evaluate the psychological characteristics of obese patients with PCOS and explore their impact on postoperative weight loss outcomes,in order to provide evidence for individualized intervention strategies.Methods:Female obese patients scheduled for LSG between November 2020 and September 2022 were enrolled and divided into PCOS and non-PCOS groups.Standardized psychological scales were used to assess anxiety,depression,self-esteem,and eating behaviors.Weight loss outcomes were recorded at 6 and 12 months postoperatively.Propensity score matching was used to control for confounding factors such as age and body mass index(BMI),and correlation analysis was conducted to explore the relationship between psychological status and weight loss outcomes.Results:A total of 314 patients were included,with 130 cases(41.4％)in the PCOS group.Before matching,the PCOS group had significantly worse psychological indicators and lower weight loss outcomes compared to the non-PCOS group(all P＜0.05);after matching,these differences were no longer statistically significant(all P＞0.05).Emotional eating was positively correlated with 12-month weight loss outcomes in the PCOS group,while anxiety and internalized weight stigma were associated with weight loss outcomes in the non-PCOS group(P＜0.05).Additionally,among patients with moderate and extreme obesity,weight loss outcomes in the PCOS group were superior to those in the non-PCOS group(P＜0.05).BMI was negatively correlated with self-esteem,eating behaviors,and quality of life(all P＜0.05).Conclusion:Obese patients with PCOS exhibit notable psychological distress.However,after controlling for BMI and age,their psychological status and weight loss outcomes are comparable to those of non-PCOS patients.BMI may serve as an important confounding factor,and psychological factors may influence weight loss indirectly through eating behaviors.Preoperative psychological screening and intervention are recommended.

Objective:To screen and analyze key genes of ferroptosis and autophagy using bioinformatics and to validate them correspondingly in order to provide a basis for identifying key therapeutic targets for alcoholic liver disease (ALD).Methods:Bioinformatics analysis was used to screen key genes of ferroptosis and autophagy in ALD based on the GEO, FerrDb, KEGG, and HAMdb databases. Liver tissues from 12 ALD cases after liver transplantation were collected for immunohistochemistry to verify the expression of key genes. Different concentrations of ethanol were used to intervene in the human liver cell line L02 for 24 hours. Cell counting kit-8 (CCK8), lactate dehydrogenase (LDH), oil red O staining, reactive oxygen species (ROS) levels, real-time fluorescence quantitative PCR, and Western blot were used to detect the expression of key genes. The gene and protein expression changes of key genes were detected after intervention with the ferroptosis inhibitor ferrostatin-1 (Fer-1) or the autophagy inhibitor 3-methyladenine (3-MA).The t-test was used for comparison between the two groups, and one-way analysis of variance was used for comparison between multiple groups. Result:Bioinformatics analysis screened out the key ferroptosis gene ACSL4, the key autophagy gene CXCR4, and the key ferroptosis and autophagy genes PRKAA2 and CDKN2A. The expression of the four key genes was significantly upregulated in the liver tissues of ALD patients (ALD vs. control, t=9.132～15.240, P<0.01 or P<0.001). The LDH release increased (200 mmol/L vs. conrtol, F=10.51, P<0.01) at ethanol concentration of 200 mmol/L in the ALD in vitro hepatocyte model. Cell viability was significantly inhibited (100, 200 mmol/L vs. conrtol, F=177.30, P<0.001) at ethanol concentration of 100 mmol/L and 200 mmol/L. Lipid deposition and ROS accumulation were observed in the cells (100, 200 mmol/L vs. conrtol, F=27.65～245.40, P<0.01 or P<0.001). The expression of four key genes and their proteins was significantly upregulated (100, 200 mmol/L vs. conrtol, F=5.092～81.770, P<0.05). The gene and protein expressions of long-chain acyl-CoA synthetase 4(ACSL4), protein kinase AMP-activated catalytic subunit alpha 2 (PRKAA2), and cyclin dependent kinase inhibitor 2a (CDKN2A) were significantly downregulated (200 mmol/L+Fer-1 vs. 200 mmol/L, F=6.40～930.10, P<0.05) following intervention with the ferroptosis inhibitor Fer-1, while C-X-C chemokine receptor type 4 (CXCR4) protein expression was inhibited (200 mmol/L+Fer-1 vs. 200 mmol/L, F=18.60, P<0.01). The expressions of all four key genes and their proteins were significantly downregulated (200 mmol/L+3-MA vs. 200 mmol/L, F=10.66～116.40, P<0.05) after intervention with the autophagy inhibitor 3-MA. Conclusion:ACSL4 is a key gene in ferroptosis in ALD. CXCR4 is a key gene in autophagy in ALD. PRKAA2 and CDKN2A are key genes to ferroptosis and autophagy in ALD, and they are expected to become therapeutic targets for ALD in the future.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Taste is an important aspect that affects the application and development of oral liquid preparations of tradi-tional Chinese medicine,and bitterness is the main adverse taste of such preparations.In January 2024,the Chinese Society of Tra-ditional Chinese Medicine released the social organization standard"Technical Specification for Sensory Evaluation of Bitterness of Oral Liquid Preparation of Traditional Chinese Medicine"(standard number:T/CACM 1574-2024),led by the Chinese Medi-cine Preparation Branch of the Chinese Society of Traditional Chinese Medicine,the First Affiliated Hospital of Henan University of Traditional Chinese Medicine,and Beijing University of Traditional Chinese Medicine,with the participation of 22 units nation-wide.It provided scientific guidance and good tools for the evaluation of bitterness of such preparations and lays a technical foun-dation for the subsequent implementation of taste improvement.This article provided a detailed introduction to the background and significance,formulation process,and main content of the standard development,which is beneficial for traditional Chinese medi-cine pharmacists to understand the standard better,apply,promote,and improve the group's standard,thereby promoting the im-provement of the taste quality and patient acceptance of such preparations,and promoting the development of the modernization of traditional Chinese medicine.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Normal heart function depends on complex regulation by the brain, and abnormalities in the brain‒heart axis affect various diseases, such as myocardial infarction and anxiety disorders. However, systematic tracking of the brain regions associated with the input and output of the heart is lacking. In this study, we injected retrograde transsynaptic pseudorabies virus (PRV) and anterograde transsynaptic herpes simplex virus (HSV) into the left ventricular wall of mice to identify the whole-brain regions associated with the input to and output from the heart. We successfully detected PRV and HSV expression in at least 170 brain subregions in both male and female mice. Sex differences were discovered mainly in the hypothalamus and medulla, with male mice exhibiting greater correlation and hierarchical clustering than female mice, indicating reduced similarity and increased modularity of virus expression patterns in male mice. Further graph theory and multiple linear regression analysis of different injection timelines revealed that hub regions of PRV had highly similar clusters, with different brain levels, suggesting a top-down, hierarchically transmitted neural control pattern of the heart. Hub regions of HSV had scattered clusters, with brain regions gathered in the cortex and brainstem, suggesting a bottom-up, leapfrog, multipoint neural sensing pattern of the heart. Both patterns contain many hub brain regions that have been previously overlooked in brain‒heart axis studies. These results provide brain targets for future research and will lead to deeper insight into the brain mechanisms involved in specific heart conditions.
Animals ; Male ; Female ; Heart/physiology* ; Mice ; Herpesvirus 1, Suid ; Brain/physiology* ; Mice, Inbred C57BL ; Brain Mapping ; Efferent Pathways/physiology* ; Afferent Pathways/physiology* ; Simplexvirus ; Sex Characteristics

Cancer multidrug resistance (MDR) impairs the therapeutic efficacy of various chemotherapeutics. Novel approaches, particularly the development of MDR reversal agents, are critically needed to address this challenge. This study demonstrates that tenacissoside I (TI), a compound isolated from Marsdenia tenacissima (Roxb.) Wight et Arn, traditionally used in clinical practice as an ethnic medicine for cancer treatment, exhibits significant MDR reversal effects in ABCB1-mediated MDR cancer cells. TI reversed the resistance of SW620/AD300 and KBV200 cells to doxorubicin (DOX) and paclitaxel (PAC) by downregulating ABCB1 expression and reducing ABCB1 drug transport function. Mechanistically, protein arginine methyltransferase 1 (PRMT1), whose expression correlates with poor prognosis and shows positive association with both ABCB1 and EGFR expressions in tumor tissues, was differentially expressed in TI-treated SW620/AD300 cells. SW620/AD300 and KBV200 cells exhibited elevated levels of EGFR asymmetric dimethylarginine (aDMA) and enhanced PRMT1-EGFR interaction compared to their parental cells. Moreover, TI-induced PRMT1 downregulation impaired PRMT1-mediated aDMA of EGFR, PRMT1-EGFR interaction, and EGFR downstream signaling in SW620/AD300 and KBV200 cells. These effects were significantly reversed by PRMT1 overexpression. Additionally, TI demonstrated resistance reversal to PAC in xenograft models without detectable toxicities. This study establishes TI's MDR reversal effect in ABCB1-mediated MDR human cancer cells through inhibition of PRMT1-mediated aDMA of EGFR, suggesting TI's potential as an MDR modulator for improving chemotherapy outcomes.
Humans ; Protein-Arginine N-Methyltransferases/antagonists & inhibitors* ; Drug Resistance, Neoplasm/drug effects* ; ErbB Receptors/genetics* ; Animals ; Cell Line, Tumor ; Drug Resistance, Multiple/drug effects* ; Methylation/drug effects* ; Saponins/administration & dosage* ; Mice ; Mice, Nude ; Mice, Inbred BALB C ; ATP Binding Cassette Transporter, Subfamily B/genetics* ; Doxorubicin/pharmacology* ; Paclitaxel/pharmacology* ; Female ; Repressor Proteins

Objective In this study,the gas exchange performance and impact patterns of microalgae culture based on hollow fiber membrane technology were investigated for the culture of space microalgae.Methods The effects of parameters and conditions such as gas flow rate,membrane area and liquid flow rate on the CO2 fixation efficiency and fixation rate of hollow fiber membrane modules were studied,and the gas exchange performance of different parameters were compared by fitting formula.Results The gas flow rate and membrane area have a significant effect on the gas exchange performance of the module.With the increase of gas flow rate,the fixation rate of CO2 increases at first and then stabilizes,and the fixation efficiency of CO2 shows a continuous downward trend;with the increase of membrane area,the fixation rate and fixation efficiency of CO2 increase significantly,while the liquid flow rate has no significant effect on the gas exchange performance of the module.The highest CO2 fixation rate was 168.24 mg/(L·h)when the membrane area was 0.3m2 and the gas flow rate was 2.0 L/min.Conclusion The use of hollow fiber membrane technology can solve the problem of two-phase flow management in the gas exchange between algae culture and atmosphere,which has a better effect on gas exchange,and can provide reference for the design of gas exchange module of space microalgae photobioreactor.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.