BackgroundPatients with schizophrenia experience low quality of life， and internalized stigma is considered an important indicator for quality of life， while the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life remains underexplored. ObjectiveTo examine the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life， so as to provide references for improving their quality of life. MethodsA total of 342 patients with schizophrenia who were hospitalized in 6 hospitals in Xiangyang City， Siping City and Changchun City from April to September 2023 were included， and all of whom met the diagnostic criteria for schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10）. Internalized Stigma of Mental Illness Scale （ISMI）， Schizophrenia Quality of Life Scale （SQLS）， Self-Esteem Scale （SES） and negative symptom subscale of Positive and Negative Symptom Scale （PANSS） were administered to all patients. Spearman correlation analysis was adopted to determine correlations between the different scales. A structural equation modeling was constructed using Amos 28.0， and Bootstrap method was employed to verify the mediating effect of self-esteem and negative symptom severity in the association between internalized stigma and quality of life. ResultsA total of 309 patients （90.35%） completed questionnaires in this study. The ISMI score of schizophrenia patients was positively correlated with both SQLS score and the PANSS negative symptom subscale score （r=0.612， 0.492， P<0.01）， while was negatively correlated with SES score （r=-0.513， P<0.01）. The SQLS score was negatively associated with the SES score （r=-0.555， P<0.01） and positively associated with PANSS negative symptom subscale score （r=0.672， P<0.01）. The SES score was negatively correlated with PANSS negative symptom subscale score （r=-0.433， P<0.01）.The total effect value of internalized stigma on quality of life was 0.746 （95% CI： 0.680~0.806）. Self-esteem and severity of negative symptoms independently mediated the relationship between internalized stigma and quality of life， and the indirect effect values were 0.151 （95% CI： 0.062~0.254） and 0.126 （95% CI： 0.047~0.205）， accounting for 20.24% and 16.89% of the total effect， respectively. In addition， a chained mediation effect of self-esteem and quality of life was also demonstrated， the indirect effect value was 0.102 （95% CI： 0.049~0.165）， accounting for 13.67% of the total effect）. ConclusionInternalized stigma in patients with schizophrenia patients can not only directly affect the quality of life， but also indirectly affect the quality of life of patients through either separate or chained mediation of self-esteem and the severity of negative symptoms. ［Funded by Hubei Provincial Undergraduate Innovation and Entrepreneurship Project （number， S202410519027）］

Objective:To explore the impact of the stimulator of interferon genes(STING)-interferon regulatory factor 3(IRF3)pathway on the senescence of rapid pacing HL-1 myocytes.Methods:HL-1 cells were divided into five groups: the control group(HL-1 cells without any treatment), pacing group(HL-1 cells paced for 48 hours), STING siRNA group(HL-1 cells paced for 48 hours and transfected with STING siRNA), NC siRNA group(HL-1 cells paced for 48 hours and transfected with NC siRNA), and H151 inhibitor group(HL-1 cells paced for 48 hours with the addition of 1 μmol/L STING inhibitor H151). Mitochondrial membrane potential was assessed in control and pacing group cells, and mitochondrial MitoTracker and TFAM co-localization staining was performed on these cells.Cellular senescence was evaluated using β-galactosidase staining in each group, and the positive rate of cellular senescence was observed and calculated.Western blotting was employed to detect the expression levels of STING, IRF3, P-IRF3, P16, P21, and P53 proteins in all groups.Immunofluorescence was utilized to examine the expression distribution of STING and P21 across the various groups.ELISA was performed to measure the concentrations of interleukin(IL)-1β, IL-6, and IL-8 in the cell supernatants from each group as part of the senescence-associated secretory phenotype(SASP).Results:Compared with the control group, the ratio of mitochondrial JC-1 multimer to monomer was significantly decreased in the pacing group( t=16.42, P<0.05), the co-localization of mitochondrial MitoTracker and TFAM in the cells was significantly weakened, the proportion of cells with positive cellular senescence-associated β-galactosidase staining significantly increased in the pacing group, the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 proteins were significantly elevated in the pacing group, and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants were markedly increased.Compared with the pacing group, the proportion of cells with positive cellular senescence-associated β-galactosidase staining decreased in the STING siRNA group and H151 inhibitor group ( F= 18.13, P<0.05), the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 were reduced in the STING siRNA group and H151 inhibitor group ( F=16.84, 26.56, 74.70, 31.80, 31.23, all P<0.05), and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants decreased( F=197.80、1 339.00、1 308.00, all P<0.001). Conclusions:Rapid pacing of HL-1 cells can promote mtDNA release into the cytoplasm, activate the STING-IRF3 pathway, accelerate cellular senescence, and enhance the secretion of SASP.Inhibiting the expression of STING can delay the senescence induced by the rapid pacing of HL-1 cells and reduce SASP secretion.

Background and Aims:Implant-based breast reconstruction is one of the most common reconstructive approaches after mastectomy for breast cancer.However,the incidence of postoperative complications remains significant,and the associated risk factors have not been fully elucidated.This study aimed to analyze the incidence of surgical complications following implant-based breast reconstruction in patients undergoing mastectomy at our center and to identify potential risk factors.Methods:A retrospective analysis was conducted on patients who underwent mastectomy and implant-based breast reconstruction at Sun Yat-sen Memorial Hospital between May 2004 and August 2022.Patients were grouped according to the presence or absence of postoperative surgical complications,and multivariate Logistic regression was used to identify independent risk factors.Results:A total of 545 patients with 602 reconstructed breasts were included.Surgical complications occurred in 13.6%(82/602)of the cases,including infection,wound dehiscence/poor healing,flap or nipple-areola necrosis,and implant leakage/rupture.Multivariate analysis revealed that nipple-areola complex resection(OR=1.934,95%CI=1.056-3.542,P=0.033),postoperative radiotherapy(OR=2.483,95%CI=1.527-4.036,P<0.001),implant volume≥300 mL(OR=1.663,95%CI=1.025-2.696,P=0.039),and surgeon experience with fewer than 10 cases(OR=1.804,95%CI=1.092-2.979,P=0.021)were all independent risk factors for complications.Conclusion:NAC resection,radiotherapy,large implant volume,and limited surgical experience are important independent risk factors for postoperative surgical complications following implant-based breast reconstruction.Thorough preoperative evaluation and appropriate surgical planning are essential to minimize risks.

Objective To explore the role of pseudogene AC106872.1 in maintaining the self-renewal capacity of human embryonic stem cells(hESCs).Methods AC106872.1 was knocked out in hESCs and knockout effi-ciency was validated by PCR and agarose gel electrophoresis.The colony formation of hESCs was assessed through colony formation assays and alkaline phosphatase(AP)staining.The expression level of pluripotency and differ-entiation marker genes was analyzed by qPCR and flow cytometry.RNA sequencing(RNA-seq)was performed to assess transcriptomic changes upon AC106872.1 knockout.Results Knockout of AC106872.1 significantly in-hibited the colony formation of hESCs(P＜0.05).The expression level of pluripotency marker genes was signifi-cantly reduced(P＜0.000 1),while the expression of differentiation marker genes was markedly increased(P＜0.000 1).Conclusions The pseudogene AC 1 06872.1 plays a crucial role in maintaining human embryonic stem cell self-renewal through regulation of pluripotency genes expression.

Objective:To investigate the current situation of knowledge, attitude and practice of medical personnel in areas with high incidence of fever with thrombocytopenia syndrome (SFTS) in Anhui Province, in order to provide a scientific basis for conducting systematic training for medical personnel.Methods:From July to August 2024, a multi-stage random sampling method was used to select medical personnel from village, township, county, and city level medical institutions in high incidence areas of SFTS in Anhui Province (Hefei City, Liu'an City, Chuzhou City, Xuancheng City) for an online questionnaire survey on their knowledge, attitude, and practice status. The survey included demographic data, knowledge, attitude, and practice related to SFTS, and a binary logistic regression model was used to analyze the influencing factors of SFTS knowledge qualification rate.Results:A total of 2 718 valid questionnaires were collected, with an effective response rate of 99.60% (2 718/2 729). Among them, 1 384 were males, accounting for 50.92%. The majority were medical personnel aged 41 to 50 years old, with undergraduate degrees, junior professional titles, working in township health centers or community health service centers, as clinical physicians, and with a working experience of no more than 10 years. They accounted for 31.97% (869/2 718), 50.48% (1 372/2 718), 35.54% (966/2 718), 38.52% (1 047/2 718), 62.33% (1 694/2 718), and 30.61% (832/2 718), respectively. The overall correct rates of medical personnel's relevant knowledge, attitude and practice were 77.52% (31 605/40 770), 94.53% (12 847/13 590) and 89.73% (12 194/13 590), respectively. There were statistically significant differences in the knowledge qualification of medical personnel of different genders, ages, education levels, professional titles, hospital levels, job positions, and years of work experience ( P < 0.05). The results of binary logistic regression analysis showed that professional title, hospital level, work position, and work experience were the influencing factors of knowledge qualification rate ( P < 0.05). Conclusions:Medical personnel have a relatively positive attitude and high level of practice towards SFTS, but their knowledge level still needs to be improved. It is recommended to provide targeted knowledge training for medical personnel in different positions to promote early detection, diagnosis, and treatment of SFTS.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Background and Aims:Implant-based breast reconstruction is one of the most common reconstructive approaches after mastectomy for breast cancer.However,the incidence of postoperative complications remains significant,and the associated risk factors have not been fully elucidated.This study aimed to analyze the incidence of surgical complications following implant-based breast reconstruction in patients undergoing mastectomy at our center and to identify potential risk factors.Methods:A retrospective analysis was conducted on patients who underwent mastectomy and implant-based breast reconstruction at Sun Yat-sen Memorial Hospital between May 2004 and August 2022.Patients were grouped according to the presence or absence of postoperative surgical complications,and multivariate Logistic regression was used to identify independent risk factors.Results:A total of 545 patients with 602 reconstructed breasts were included.Surgical complications occurred in 13.6%(82/602)of the cases,including infection,wound dehiscence/poor healing,flap or nipple-areola necrosis,and implant leakage/rupture.Multivariate analysis revealed that nipple-areola complex resection(OR=1.934,95%CI=1.056-3.542,P=0.033),postoperative radiotherapy(OR=2.483,95%CI=1.527-4.036,P<0.001),implant volume≥300 mL(OR=1.663,95%CI=1.025-2.696,P=0.039),and surgeon experience with fewer than 10 cases(OR=1.804,95%CI=1.092-2.979,P=0.021)were all independent risk factors for complications.Conclusion:NAC resection,radiotherapy,large implant volume,and limited surgical experience are important independent risk factors for postoperative surgical complications following implant-based breast reconstruction.Thorough preoperative evaluation and appropriate surgical planning are essential to minimize risks.

Objective:To investigate the current situation of knowledge, attitude and practice of medical personnel in areas with high incidence of fever with thrombocytopenia syndrome (SFTS) in Anhui Province, in order to provide a scientific basis for conducting systematic training for medical personnel.Methods:From July to August 2024, a multi-stage random sampling method was used to select medical personnel from village, township, county, and city level medical institutions in high incidence areas of SFTS in Anhui Province (Hefei City, Liu'an City, Chuzhou City, Xuancheng City) for an online questionnaire survey on their knowledge, attitude, and practice status. The survey included demographic data, knowledge, attitude, and practice related to SFTS, and a binary logistic regression model was used to analyze the influencing factors of SFTS knowledge qualification rate.Results:A total of 2 718 valid questionnaires were collected, with an effective response rate of 99.60% (2 718/2 729). Among them, 1 384 were males, accounting for 50.92%. The majority were medical personnel aged 41 to 50 years old, with undergraduate degrees, junior professional titles, working in township health centers or community health service centers, as clinical physicians, and with a working experience of no more than 10 years. They accounted for 31.97% (869/2 718), 50.48% (1 372/2 718), 35.54% (966/2 718), 38.52% (1 047/2 718), 62.33% (1 694/2 718), and 30.61% (832/2 718), respectively. The overall correct rates of medical personnel's relevant knowledge, attitude and practice were 77.52% (31 605/40 770), 94.53% (12 847/13 590) and 89.73% (12 194/13 590), respectively. There were statistically significant differences in the knowledge qualification of medical personnel of different genders, ages, education levels, professional titles, hospital levels, job positions, and years of work experience ( P < 0.05). The results of binary logistic regression analysis showed that professional title, hospital level, work position, and work experience were the influencing factors of knowledge qualification rate ( P < 0.05). Conclusions:Medical personnel have a relatively positive attitude and high level of practice towards SFTS, but their knowledge level still needs to be improved. It is recommended to provide targeted knowledge training for medical personnel in different positions to promote early detection, diagnosis, and treatment of SFTS.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Objective:To explore the impact of the stimulator of interferon genes(STING)-interferon regulatory factor 3(IRF3)pathway on the senescence of rapid pacing HL-1 myocytes.Methods:HL-1 cells were divided into five groups: the control group(HL-1 cells without any treatment), pacing group(HL-1 cells paced for 48 hours), STING siRNA group(HL-1 cells paced for 48 hours and transfected with STING siRNA), NC siRNA group(HL-1 cells paced for 48 hours and transfected with NC siRNA), and H151 inhibitor group(HL-1 cells paced for 48 hours with the addition of 1 μmol/L STING inhibitor H151). Mitochondrial membrane potential was assessed in control and pacing group cells, and mitochondrial MitoTracker and TFAM co-localization staining was performed on these cells.Cellular senescence was evaluated using β-galactosidase staining in each group, and the positive rate of cellular senescence was observed and calculated.Western blotting was employed to detect the expression levels of STING, IRF3, P-IRF3, P16, P21, and P53 proteins in all groups.Immunofluorescence was utilized to examine the expression distribution of STING and P21 across the various groups.ELISA was performed to measure the concentrations of interleukin(IL)-1β, IL-6, and IL-8 in the cell supernatants from each group as part of the senescence-associated secretory phenotype(SASP).Results:Compared with the control group, the ratio of mitochondrial JC-1 multimer to monomer was significantly decreased in the pacing group( t=16.42, P<0.05), the co-localization of mitochondrial MitoTracker and TFAM in the cells was significantly weakened, the proportion of cells with positive cellular senescence-associated β-galactosidase staining significantly increased in the pacing group, the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 proteins were significantly elevated in the pacing group, and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants were markedly increased.Compared with the pacing group, the proportion of cells with positive cellular senescence-associated β-galactosidase staining decreased in the STING siRNA group and H151 inhibitor group ( F= 18.13, P<0.05), the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 were reduced in the STING siRNA group and H151 inhibitor group ( F=16.84, 26.56, 74.70, 31.80, 31.23, all P<0.05), and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants decreased( F=197.80、1 339.00、1 308.00, all P<0.001). Conclusions:Rapid pacing of HL-1 cells can promote mtDNA release into the cytoplasm, activate the STING-IRF3 pathway, accelerate cellular senescence, and enhance the secretion of SASP.Inhibiting the expression of STING can delay the senescence induced by the rapid pacing of HL-1 cells and reduce SASP secretion.