Objective To analyze the influencing factors for poor prognosis in elderly patients with CHD and left ventricular dysfunction(LVD)treated by CABG,and to construct a logistic predic-tion model.Methods A total of 199 elderly CHD patients with LVD undergoing CABG in Zhu-jiang Hospital from April 2020 to April 2023 were retrospectively enrolled.After 1 year of follow-up,according to whether MACCE occurred after surgery,they were divided into MACCE group(24 cases)and non-MACCE group(175 cases).The clinical data were compared between the two groups.Multivariate logistic regression analysis was used to analyze the influencing factors for poor prognosis,and a logistic prediction model was constructed.Results The MACCE group had significantly larger proportions of hypertension,diabetes,chronic kidney disease,NYHA gradeⅢand multi-vessel disease,and smaller proportion of non-cardiopulmonary bypass than the non-MACCE group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that diabetes(OR=2.328,95％CI:1.469-3.690,P=0.000),NYH A grade(OR=2.181,95％CI:1.184-4.021,P=0.013),multi-vessel disease(OR=1.996,95％CI:1.187-3.355,P=0.009),and non-cardiopulmonary bypass(OR=0.660,95％CI:0.541-0.806,P=0.000)were independent influen-cing factors for poor prognosis in the patients after CABG.The AUC value of the constructed pre-diction model in predicting poor prognosis was 0.822(95％CI:0.721-0.923),with a sensitivity of 66.70％and a specificity of 80.60％.Conclusion Diabetes,NYHA grade,multi-vessel disease and non-cardiopulmonary bypass are independent influencing factors for poor prognosis in elderly CHD patients complicated with LVD after CABG.The constructed logistic prediction model has certain predictive value for poor prognosis in these elderly patients.

The lab module of exploratory experiment is newly designed in the practical course of bio-chemistry.Here we describe one of the experimental projects,and it originates from new scientific re-search results on the dynamic structure of ATP synthase.This exploratory experiment is organized in the form of real scientific research,which would fully mobilize the initiative and creativity of students in learning theoretical knowledge and experimental technology.Students work in groups and start with refer-ence reading.Through cooperation,they must develop certain experimental plan,handle samples with photocrosslinking technique and utilize the high-throughput electrophoresis method to analyze the dynamic structural change of ε subunit in ATP synthase under different physiological conditions.High quality re-sults from high-throughput electrophoresis can only be obtained through optimized operation and treat-ment,from which students would experience the process of technological innovation.The teaching process of this lab module embodies the student-centered teaching concept and is widely approved and supported by students.The project of ATP synthase closely combines the content of lab course with cut-ting-edge technology.Students can deeply experience the importance of experimental technology innova-tion in solving scientific problems.The practical ability of students would be comprehensively improved through this lab module.

Numerous studies have shown that depression is main-ly associated with the abnormal expression of connexin 43(Cx43)in astrocytes(Astro)and its mediated dysfunction of gap junction(GJ).However,the molecular mechanism of post-translational modifications targeting Cx43 to regulate neuroin-flammation-associated depression is still unclear.Post-transla-tional modifications of Cx43 mainly include phosphorylation of specific amino acid sites by PKC,PKA,PKG,MAPK and PTK,and protein degradation of Cx43 through the K48/K63 polyubiq-uitylation and deubiquitination pathways,which ultimately lead to protein degradation through K48/K63 polyubiquitination and deubiquitination.These modifications are ultimately involved in the regulation of neuroinflammatory responses through the associ-ation of GJ function.In this paper,we systematically review the role of Cx43 post-translational modifications in neuroinflamma-tion,with the aim of further exploring the potential application of targeting these modifications to modulate the inflammatory re-sponse mechanism in improving depressive symptoms.

Objective:To explore the status of psychological resilience in female infertility patients and analyze its influencing factors, providing a basis for developing effective intervention measures in clinical practice.Methods:A convenient sampling method was used to select female infertility patients who visited the Reproductive Medicine Center of the First Affiliated Hospital of the University of South China from March to October 2024 as the research objects. A cross-sectional survey was conducted using the General Data Questionnaire, Connor-Davidson Resilience Scale, Herth Hope Index, the Infertility Stigma Scale, Family Resilience Scale and Perceived Social Support Scale. The random forest algorithm was used to rank the importance of variables, Lasso regression was used to further screen variables, and the selected variables were included in multiple stepwise regression analysis to analyze the influencing factors.Results:Ultimately, 322 female infertility patients aged (30.40 ± 4.50) were included. The psychological resilience score was (64.29 ± 10.05) points, which was above the medium level. The top 6 influential factors in the importance of variables were stigma, family resilience, age, social support, infertility cause and hope level. Multiple stepwise regression analysis showed that age, infertility cause, hope level, stigma, family resilience and social support were the main influencing factors of mental resilience of female infertility patients ( t values were -8.32 to 6.85, all P<0.05). Conclusions:The psychological resilience of female infertility patients is above the medium level, and the psychological resilience of infertile women is affected by many factors such as individual characteristics, family environment and social support. Medical staff should take targeted intervention measures to improve the psychological resilience of female infertility patients.

Numerous studies have shown that depression is main-ly associated with the abnormal expression of connexin 43(Cx43)in astrocytes(Astro)and its mediated dysfunction of gap junction(GJ).However,the molecular mechanism of post-translational modifications targeting Cx43 to regulate neuroin-flammation-associated depression is still unclear.Post-transla-tional modifications of Cx43 mainly include phosphorylation of specific amino acid sites by PKC,PKA,PKG,MAPK and PTK,and protein degradation of Cx43 through the K48/K63 polyubiq-uitylation and deubiquitination pathways,which ultimately lead to protein degradation through K48/K63 polyubiquitination and deubiquitination.These modifications are ultimately involved in the regulation of neuroinflammatory responses through the associ-ation of GJ function.In this paper,we systematically review the role of Cx43 post-translational modifications in neuroinflamma-tion,with the aim of further exploring the potential application of targeting these modifications to modulate the inflammatory re-sponse mechanism in improving depressive symptoms.

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 investigate the clinical characteristics, prevalent serum groups, and drug sensitivity test results of epidemic cerebrospinal meningitis in children in Shanghai area.Methods:The study was a retrospective case-control study. The children hospitalized for epidemic cerebrospinal meningitis in Children′s Hospital of Fudan University from January 2003 to December 2023 were enrolled. Clinical data were collected, including demographic characteristics, clinical manifestations, pathogen detection results, strain typing, and drug sensitivity test results.Results:A total of 77 children with confirmed epidemic cerebrospinal meningitis were hospitalized, including 50 males (64.94%) and 27 females (35.06%). The age was 24(8, 60) months, with 16 cases (20.78%) aged 0 to five months, nine cases (11.69%) aged six to 11 months, 21 cases (27.27%) aged 12 to 35 months, 16 cases (20.78%) aged three to five years, 13 cases (16.89%) aged six to 11 years, and two cases (2.60%) aged 12 years. The highest number of cases was in spring, with 36 cases (46.75%), followed by winter with 25 cases (32.47%). Thirty-three cases (42.86%) had vaccinated with meningococcal vaccine. The clinical symptoms included fever in all 77 cases (100.00%), skin petechiae and ecchymosis in 58 cases (75.32%), vomiting in 56 cases (72.73%), respiratory symptoms in 12 cases (15.58%), convulsions in 17 cases (22.08%), conscious disturbance in 24 cases (31.17%), shock in 38 cases (49.35%), circulatory failure in 13 cases (16.88%), and respiratory failure in seven cases (9.09%). Among the 77 children, fifty-seven cases (74.03%) were common type and 20 cases (25.97%) were fulminant type, with seven deaths (9.09%). Neisseria meningitidis (Nm) was detected in 55 cases (71.43%), with the positive rates of skin petechiae smear and cerebrospinal fluid smear of 23.26%(10/43) and 19.44%(14/72), respectively. The positive rates of cerebrospinal fluid culture and blood culture were 36.51%(23/63) and 31.51% (23/73), respectively. The positive rate of polymerase chain reaction detection was 79.17%(38/48). The serogroups were determined in the 38 Nm strains, including 18 cases (47.37%) of group B, 14 cases (36.84%) of group C, five cases (13.16%) of group A, and one case (2.63%) of group Y. Among the 29 Nm strains tested for antimicrobial susceptibility, one strain (3.45%) was resistant to penicillin, two strains (6.90%) were resistant to cefotaxime, 21 strains (72.41%) were resistant to ciprofloxacin, and 25 strains (86.21%) were resistant to sulfamethoxazole/trimethoprim. All strains were sensitive to ceftriaxone, azithromycin, meropenem, rifampicin, chloramphenicol, and minocycline. Conclusions:Epidemic cerebrospinal meningitis presents a low prevalence trend in children in Shanghai area. Infants and toddlers remain the major susceptible individuals. Nm has reduced sensitivity to penicillin, but remains sensitive to ceftriaxone. Ceftriaxone is recommended as the first-line choice for antibiotic therapy. The prevalent serogroups are Group B, Group C, Group A and Group Y in sequence. Immunization plan adjustment should be suggested. Vaccination covering the current epidemic serum population as early as possible should be recommended.

Pyroptosis is an identified programmed cell death that has been highly linked to endoplasmic reticulum (ER) dynamics. However, the crucial proteins for modulating dynamic ER membrane curvature change that trigger pyroptosis are currently not well understood. In this study, a biotin-labeled chemical probe of potent pyroptosis inducer α-mangostin (α-MG) was synthesized. Through protein microarray analysis, reticulon-4 (RTN4/Nogo), a crucial regulator of ER membrane curvature, was identified as a target of α-MG. We observed that chemically induced proteasome degradation of RTN4 by α-MG through recruiting E3 ligase UBR5 significantly enhances the pyroptosis phenotype in cancer cells. Interestingly, the downregulation of RTN4 expression significantly facilitated a dynamic remodeling of ER membrane curvature through a transition from tubules to sheets, consequently leading to rapid fusion of the ER with the cell plasma membrane. In particular, the ER-to-plasma membrane fusion process is supported by the observed translocation of several crucial ER markers to the "bubble" structures of pyroptotic cells. Furthermore, α-MG-induced RTN4 knockdown leads to pyruvate kinase M2 (PKM2)-dependent conventional caspase-3/gasdermin E (GSDME) cleavages for pyroptosis progression. In vivo, we observed that chemical or genetic RTN4 knockdown significantly inhibited cancer cells growth, which further exhibited an antitumor immune response with anti-programmed death-1 (anti-PD-1). In translational research, RTN4 high expression was closely correlated with the tumor metastasis and death of patients. Taken together, RTN4 plays a fundamental role in inducing pyroptosis through the modulation of ER membrane curvature remodeling, thus representing a prospective druggable target for anticancer immunotherapy.
Pyroptosis/immunology* ; Humans ; Endoplasmic Reticulum/immunology* ; Animals ; Nogo Proteins/antagonists & inhibitors* ; Mice ; Cell Line, Tumor ; Xanthones/pharmacology* ; Neoplasms/pathology* ; Mice, Nude

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.

The lab module of exploratory experiment is newly designed in the practical course of bio-chemistry.Here we describe one of the experimental projects,and it originates from new scientific re-search results on the dynamic structure of ATP synthase.This exploratory experiment is organized in the form of real scientific research,which would fully mobilize the initiative and creativity of students in learning theoretical knowledge and experimental technology.Students work in groups and start with refer-ence reading.Through cooperation,they must develop certain experimental plan,handle samples with photocrosslinking technique and utilize the high-throughput electrophoresis method to analyze the dynamic structural change of ε subunit in ATP synthase under different physiological conditions.High quality re-sults from high-throughput electrophoresis can only be obtained through optimized operation and treat-ment,from which students would experience the process of technological innovation.The teaching process of this lab module embodies the student-centered teaching concept and is widely approved and supported by students.The project of ATP synthase closely combines the content of lab course with cut-ting-edge technology.Students can deeply experience the importance of experimental technology innova-tion in solving scientific problems.The practical ability of students would be comprehensively improved through this lab module.