Ovarian tumor (OT) is the most lethal form of gynecologic malignancy, with minimal improvements in patient outcomes over the past several decades. Metastasis is the leading cause of ovarian cancer-related deaths, yet the underlying mechanisms remain poorly understood. Psychological stress is known to activate the glucocorticoid receptor (NR3C1), a factor associated with poor prognosis in OT patients. However, the precise mechanisms linking NR3C1 signaling and metastasis have yet to be fully elucidated. In this study, we demonstrate that chronic restraint stress accelerates epithelial-mesenchymal transition (EMT) and metastasis in OT through an NR3C1-dependent mechanism involving nuclear protein 1 (NUPR1). Mechanistically, NR3C1 directly regulates the transcription of NUPR1, which in turn increases the expression of snail family transcriptional repressor 2 (SNAI2), a key driver of EMT. Clinically, elevated NR3C1 positively correlates with NUPR1 expression in OT patients, and both are positively associated with poorer prognosis. Overall, our study identified the NR3C1/NUPR1 axis as a critical regulatory pathway in psychological stress-induced OT metastasis, suggesting a potential therapeutic target for intervention in OT metastasis.

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 summarize the medication law and academic experience of Professor Yuan Jinsheng in the treatment of angina pectoris (AP) of coronary heart disease (CHD) through R language data mining technique.Methods:The effective outpatient medical records of Professor Yuan Jinsheng in the treatment of AP of CHD from January 1, 2016 to September 30, 2023 were selected, and the R 4.2.3 was used for frequency statistics, association rule analysis, systematic clustering analysis and correlation analysis of prescription drugs.Results:A total of 292 prescriptions were included, including 268 patients, involving 204 kinds of Chinese materia medica, and the total frequency of Chinese materia medica was 4 253 times. The main properties were warm and neutral, the main tastes were bitter, pungent and sweet, and the main meridians were spleen, lung and liver meridians. The analysis of association rules obtained 125 core TCM combinations, and the commonly used drug pair was Trichosanthis Fructus-Aurantii Fructus Immaturus. The core prescription composed of Aurantii Fructus Immaturus, Chuanxiong Rhizoma, Trichosanthis Fructus, Citri Reticulatae Pericarpium and Salviea Miltiorrhizae Radix et Rhizoma. Seven TCM groups of were obtained by systematic clustering analysis. Correlation analysis showed that the drug pairs with phi coefficient greater than 0.6 were in 8 groups.Conclusions:Studies suggest that AP of CHD is located in the heart, which is related to lung, spleen, liver and kidney, deficiency in root and excess in superficiality, phlegm, blood stasis and qi stagnation are important pathological factors. The treatment is based on the basic principles of tonifying qi, promoting yang, relieving rheumatism, resolving phlegm, activating blood circulation, and promoting qi circulation. It embodies Professor Yuan's academic thoughts and principles of differentiation and treatments of "taking fluency as the main point, regulating the five internal organs and weighing the root and superficiality".

OBJECTIVE: To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019. METHOD: Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model. RESULTS: Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00). CONCLUSION The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans ; China/epidemiology* ; Incidence ; Bayes Theorem ; Spatio-Temporal Analysis ; Tuberculosis/epidemiology* ; Socioeconomic Factors

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 compare the the cultivation effects of human embryos in dry and humid incubators.Methods:A total of 479 infertile patients who underwent in vitro fertilization (IVF) treatment at Reproductive Center of Guiyang Maternal and Child Health Care Hospital from October 2020 to April 2022. The study was divided into two stages. The first stage of the study was a self-comparative research with 95 cases from the same period and source. The embryos were divided into dry and humid incubator groups to compare the embryo development indicators. In the second stage of the study, the patients were divided into six groups, including 10 μL humid incubator group ( n=64), 20 μL humid incubator group ( n=64), 30 μL humid incubator group ( n=64), 10 μL dry incubator group ( n=64), 20 μL dry incubator group ( n=64), and 30 μL dry incubator group ( n=64). The general clinical data, embryo development indicators, pregnancy outcomes, and the osmotic pressure and pH values of each group at 24 h, 48 h and 72 h were detected and compared. Results:After cultivation of the same patient's embryos in dry and humid incubator, the total blastocyst formation rate [62.3% (162/260)] and high-quality blastocyst rate [24.6% (64/260)] in dry incubator were lower than those in the humid incubator [71.6% (252/352), P=0.015; 32.1% (113/352), P=0.043]. Compared with the other microdroplet groups, the osmotic pressure of cleavage culture medium in 10 μL group of dry incubator at 48 h and 72 h and blastocyst culture medium were significantly increased, the differences among the groups were significant (cleavage culture medium, all P<0.001; blastocyst culture medium, P=0.006, P=0.008). There was no significant difference in pH value among different microdroplet volume groups at the same period (all P>0.05). There were no significant differences in general data among the different microdroplet groups (all P>0.05). Compared with the other microdroplet groups, 10 μL dry incubator group exhibited significantly lower transferable embryo rate (all P<0.001). When compared with 20 μL and 30 μL groups in both dry and humid incubators, 10 μL dry incubator group showed a lower day 5 blastocyst formation rate, lower total blastocyst formation rate, and lower high-quality blastocyst formation rate, the differences among the groups were significant (all P<0.05). There were no significant differences in the number of transferred embryos, the ratio of cleavage-stage embryos and the ratio of high-quality embryos among different groups (all P>0.05). Compared with the other microdroplet groups, the clinical pregnancy rate, the embryo implantation rate, the live birth rate of fresh transplanted embryos and the cumulative pregnancy rate in 10 μL group in the dry incubator decreased, and the miscarriage rate increased, but all were not significant (all P>0.05). Conclusion:Compared with humid incubators, there are no significant differences in embryo development and pregnancy outcomes for droplet volumes of 20 μL or above in dry incubators. However, the 10 μL microdroplet culture in the dry incubator is not conducive to embryonic development, which may be related to the increased osmotic pressure of the microdroplet.

Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Objective:To compare the the cultivation effects of human embryos in dry and humid incubators.Methods:A total of 479 infertile patients who underwent in vitro fertilization (IVF) treatment at Reproductive Center of Guiyang Maternal and Child Health Care Hospital from October 2020 to April 2022. The study was divided into two stages. The first stage of the study was a self-comparative research with 95 cases from the same period and source. The embryos were divided into dry and humid incubator groups to compare the embryo development indicators. In the second stage of the study, the patients were divided into six groups, including 10 μL humid incubator group ( n=64), 20 μL humid incubator group ( n=64), 30 μL humid incubator group ( n=64), 10 μL dry incubator group ( n=64), 20 μL dry incubator group ( n=64), and 30 μL dry incubator group ( n=64). The general clinical data, embryo development indicators, pregnancy outcomes, and the osmotic pressure and pH values of each group at 24 h, 48 h and 72 h were detected and compared. Results:After cultivation of the same patient's embryos in dry and humid incubator, the total blastocyst formation rate [62.3% (162/260)] and high-quality blastocyst rate [24.6% (64/260)] in dry incubator were lower than those in the humid incubator [71.6% (252/352), P=0.015; 32.1% (113/352), P=0.043]. Compared with the other microdroplet groups, the osmotic pressure of cleavage culture medium in 10 μL group of dry incubator at 48 h and 72 h and blastocyst culture medium were significantly increased, the differences among the groups were significant (cleavage culture medium, all P<0.001; blastocyst culture medium, P=0.006, P=0.008). There was no significant difference in pH value among different microdroplet volume groups at the same period (all P>0.05). There were no significant differences in general data among the different microdroplet groups (all P>0.05). Compared with the other microdroplet groups, 10 μL dry incubator group exhibited significantly lower transferable embryo rate (all P<0.001). When compared with 20 μL and 30 μL groups in both dry and humid incubators, 10 μL dry incubator group showed a lower day 5 blastocyst formation rate, lower total blastocyst formation rate, and lower high-quality blastocyst formation rate, the differences among the groups were significant (all P<0.05). There were no significant differences in the number of transferred embryos, the ratio of cleavage-stage embryos and the ratio of high-quality embryos among different groups (all P>0.05). Compared with the other microdroplet groups, the clinical pregnancy rate, the embryo implantation rate, the live birth rate of fresh transplanted embryos and the cumulative pregnancy rate in 10 μL group in the dry incubator decreased, and the miscarriage rate increased, but all were not significant (all P>0.05). Conclusion:Compared with humid incubators, there are no significant differences in embryo development and pregnancy outcomes for droplet volumes of 20 μL or above in dry incubators. However, the 10 μL microdroplet culture in the dry incubator is not conducive to embryonic development, which may be related to the increased osmotic pressure of the microdroplet.

Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.