The plasma membrane (PM) plays an essential role in maintaining cell homeostasis, therefore, timely and effective repair of damage caused by factors such as mechanical rupture, pore-forming toxins, or pore-forming proteins is crucial for cell survival. PM damage induces membrane rupture and stimulates an immune response. However, damage resulting from regulated cell death processes, including pyroptosis, ferroptosis, and necroptosis, cannot be repaired by simple sealing mechanisms and thus, requires specialized repair machinery. Recent research has identified a PM repair mechanism of regulated cell death-related injury, mediated by the endosomal sorting complexes required for transport (ESCRT) machinery. Here, we review recent progress in elucidating the ESCRT machinery-mediated repair mechanism of PM injury, with particular focus on processes related to regulated cell death. This overview, along with continued research in this field, may provide novel insights into therapeutic targets for diseases associated with dysregulation of regulated cell death pathways.

ObjectiveBased on the concept of quality by design（QbD）， the processing process of calcined Pyritum was optimized， and its X-ray diffraction（XRD） fingerprint was established. MethodsThe safety， effectiveness and quality controllability of calcined Pyritum were taken as the quality profile（QTPP）， the color， hardness， metallic luster， phase composition， the contents of heavy metals and hazardous elements were taken as the critical quality attributes（CQAs）， and the calcination temperature， calcination time， paving thickness and particle size were determined as the critical process parameters（CPPs）. Differential thermal analysis， X-ray diffraction（XRD） and inductively coupled plasma mass spectrometry（ICP-MS） were used to analyze the correlation between the calcination temperature and CQAs of calcined Pyritum. Then， based on the criteria importance through intercriteria correlation（CRITIC）-entropy weight method， the optimal processing process of calcined Pyritum was optimized by orthogonal test. Powder XRD was used to analyze the phase of calcined Pyritum samples processed according to the best process， and the mean and median maps of calcined Pyritum were established by the superposition of geometric topological figures， and similarity evaluation and cluster analysis were carried out. ResultsThe results of single factor experiments showed that the physical phase of Pyritum changed from FeS₂ to Fe₇S₈ during the process of temperature increase， the color gradually deepened from dark yellow， and the contents of heavy metals and harmful elements decreased. The optimized processing process of calcined Pyritum was as follows：calcination temperature at 750 ℃， calcination time of 2.5 h， paving thickness of 3 cm， particle size of 0.8-1.2 cm， vinegar quenching 1 time［Pyritum-vinegar（10∶3）］. After calcination， the internal structure of Pyritum was honeycomb-shaped， which was conducive to the dissolution of active ingredients. XRD fingerprints of 13 batches of calcined Pyritum characterized by 10 common peaks were established. The similarities of the relative peak intensities of the XRD fingerprints of the analyzed samples were>0.96， and it could effectively distinguish the raw products and unqualified products. ConclusionTemperature is the main factor affecting the quality of calcined Pyritum. After processing， the dissolution of the effective components in Pyritum increases， and the contents of heavy metals and harmful substances decrease， reflecting the function of processing to increase efficiency and reduce toxicity. The optimized processing process is stable and feasible， and the established XRD fingerprint can be used as one of the quality control standards of calcined Pyritum.

ObjectiveBased on the concept of quality by design（QbD）， the processing process of calcined Pyritum was optimized， and its X-ray diffraction（XRD） fingerprint was established. MethodsThe safety， effectiveness and quality controllability of calcined Pyritum were taken as the quality profile（QTPP）， the color， hardness， metallic luster， phase composition， the contents of heavy metals and hazardous elements were taken as the critical quality attributes（CQAs）， and the calcination temperature， calcination time， paving thickness and particle size were determined as the critical process parameters（CPPs）. Differential thermal analysis， X-ray diffraction（XRD） and inductively coupled plasma mass spectrometry（ICP-MS） were used to analyze the correlation between the calcination temperature and CQAs of calcined Pyritum. Then， based on the criteria importance through intercriteria correlation（CRITIC）-entropy weight method， the optimal processing process of calcined Pyritum was optimized by orthogonal test. Powder XRD was used to analyze the phase of calcined Pyritum samples processed according to the best process， and the mean and median maps of calcined Pyritum were established by the superposition of geometric topological figures， and similarity evaluation and cluster analysis were carried out. ResultsThe results of single factor experiments showed that the physical phase of Pyritum changed from FeS₂ to Fe₇S₈ during the process of temperature increase， the color gradually deepened from dark yellow， and the contents of heavy metals and harmful elements decreased. The optimized processing process of calcined Pyritum was as follows：calcination temperature at 750 ℃， calcination time of 2.5 h， paving thickness of 3 cm， particle size of 0.8-1.2 cm， vinegar quenching 1 time［Pyritum-vinegar（10∶3）］. After calcination， the internal structure of Pyritum was honeycomb-shaped， which was conducive to the dissolution of active ingredients. XRD fingerprints of 13 batches of calcined Pyritum characterized by 10 common peaks were established. The similarities of the relative peak intensities of the XRD fingerprints of the analyzed samples were>0.96， and it could effectively distinguish the raw products and unqualified products. ConclusionTemperature is the main factor affecting the quality of calcined Pyritum. After processing， the dissolution of the effective components in Pyritum increases， and the contents of heavy metals and harmful substances decrease， reflecting the function of processing to increase efficiency and reduce toxicity. The optimized processing process is stable and feasible， and the established XRD fingerprint can be used as one of the quality control standards of calcined Pyritum.

BackgroundAs a high prevalence disorder， schizophrenia has caused significant burden to family and society due to the impairment of occupational and social function. Currently， the dominant vocational training model in China follows a paternalistic， clinician-led decision-making approach. Although it improves patients' social function to some extent， it undermines their autonomy and treatment adherence. Therefore， it is urgently necessary to explore a new intervention method to enhance treatment compliance and social function in patients. ObjectiveTo explore the impact of shared decision-making oriented vocational training on social function in hospitalized schizophrenia patients， so as to provide references for rehabilitation interventions. MethodsA total of 68 patients diagnosed with schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10） criteria were consecutively enrolled from January to June 2024 at The Third People's Hospital of Wenjiang Distric， Chengdu. Participants were randomly allocated into the research group （n=34） and the control group （n=34） using a random number table method. Both groups received routine rehabilitation training， while the research group received shared decision-making oriented vocational training for 12 weeks， 2 times a week for 2 hours each time. Before and at the 4^th and 12^th week of intervention， two groups were evaluated by General Self-Efficacy Scale （GSES）， Stigma Scale for Mental Illness （SSMI）， Scale of Social function of Psychosis Inpatients （SSFPI） and Inpatient Psychiatric Rehabilitation Outcome Scale （IPROS）. ResultsA total of 63 participants completed the study， with 30 cases in the research group and 33 cases in the control group. Repeated measures ANOVA revealed statistically significant time effects and interaction effects in both groups for GSES， SSMI， SSFPI and IPROS scores （F=20.451， 16.022； 26.193， 12.944； 23.957， 5.023； 11.776， 3.985， P<0.05 or 0.01）， while no significant group effects were observed （F=0.188， 0.742， 1.878， 0.474， P>0.05）. At the 12^th week of intervention， there were statistically significant differences in GSES， SSMI， SSFPI and IPROS scores between the two groups. ConclusionShared decision-making oriented vocational training may help to improve social function in patients with schizophrenia. ［Funded by 2023 Chengdu Medical Research Project （number， 2023468）］

PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

Objective To systematically evaluate qualitative studies on the experience of transition from adolescent to adult medical care for patients with congenital heart disease(CHD),and to provide a reference for exploring CHD transition management options and developing intervention strategies.Methods A computerized search of PubMed,Embase,Web of Science,Cochrane Library,EBSCO,CINAHL,China Knowledge Network,Wanfang database,Vipshop database,and China Biomedical Literature Database for qualitative studies on the transition experience of CHD patients from adolescence to adult medical care was conducted for the period from the establishment of the database to April 2023.The quality of the literature was evaluated using the Joanna Briggs Institute(JBI)Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research(2016),and the results were integrated using meta-integration methods.Results A total of 9 studies were included,and 49 research results were extracted,and 11 categories were summarized.The final synthesis included 4 integrated results:①Complex attitudes towards healthcare transition,with both attachment and expectation:attachment to paediatric healthcare providers,expectation of transition to adult healthcare providers.(2)Facing multiple healthcare transition challenges:lack of adequate preparation for healthcare transition,parents withdrawing from the role of disease manager,large differences in services between paediatric and adult healthcare providers.③Expect to receive multiple supports:expect to receive comprehensive health education from healthcare personnel,expect healthcare institutions to set up healthcare transition counselling clinics and achieve handover of illness,expect to receive companionship and support from parents,expect to receive understanding and help from peers.④ Per-ceived benefits of medical transition:increased ability to manage illness,role change and personal growth.Conclusion Adolescents with CHD have a complex experience of transitioning to adult healthcare,and healthcare professionals should be attentive to their feelings,encourage them to deal with challenges positively,and provide adequate information and joint parental and peer support to facilitate a smooth transition to adult healthcare for adolescents.

This study focuses on the microenvironment acidification caused by metabolic abnormalities and ion balance disturbances during cardiac ischemia, which can significantly trigger drug resistance and thus limit the therapeutic effect of coronary heart disease. To address this issue, we delve into the potential role of carbonic anhydrase inhibitors in enhancing drug efficacy through pH regulation. First, we evaluated the potential of the carbonic anhydrase inhibitor acetazolamide, in combination with aspirin, in alleviating myocardial hypoxic injury in a cellular model. Through high-throughput screening techniques, we systematically analyzed the synergistic effect of this drug combination and determined the optimal ratio. Next, we modified the structure of aspirin using acetazolamide as the structural basis, aiming to create novel derivatives with stronger myocardial protective activity. Using in vitro and in vivo models of myocardial hypoxic injury, we evaluated the biological activity and therapeutic efficacy of these derived compounds in detail. Animal experiments were approved by the Animal Ethics Committee of Southeast University (Ethics No. 20240109001). The results showed that the structurally modified aspirin derivatives exhibited significant synergistic effects in alleviating myocardial hypoxic injury. This study reveals the mechanism of action of carbonic anhydrase inhibitors in the treatment of coronary heart disease and provides experimental and theoretical evidence for the development of novel coronary heart disease treatment drugs, which has important guiding significance for drug design and coronary heart disease treatment strategies.

Objective To investigate the correlation between MEX3A and differentiation characteristics of gastric cancer and intestinal metaplasia,and its combination with caudal-related homeobox transcription factor 2(CDX2)and mucin 2(MUC2)and mucin 5AC(MUC5AC)to determine the role of carcinogenic intestinal metaplasia.Methods From January 2010 to December 2014,a total of 410 cases of gastric cancer and paracarcinoma paraffin-embedded tissue samples were selected from the Central Hospital Affiliated to Shenyang Medical College and the Second Hospital Affiliated to Shenyang Medical College.According to pathological diagnosis,they were divided into control group(mild superficial gastritis,79 cases),intestinal metaplasia group(149 cases)and gastric cancer group(182 cases).The expressions of MEX3A,CDX2,MUC2 and MUC5AC were detected by immunohistochemistry.Results MEX3A was highly expressed in gastric cancer group and intestinal metaplasia group,especially diffuse gastric cancer,poorly differentiated gastric cancer and type Ⅲ intestinal metaplasia(P<0.05).CDX2 and MUC2 were highly expressed in gastric cancer group and intestinal metaplasia group,especially intestinal type gastric cancer,highly and moderately differentiated gastric cancer,type Ⅰ and type Ⅱ intestinal metaplasia(P<0.05).The expression of MUC5AC was high in control group and low in gastric cancer group and intestinal metaplasia group,especially in intestinal type gastric cancer,type Ⅰ and type Ⅲ intestinal metaplasia(P<0.05).Gastric cancer and intestinal metaplasia differentiation were negatively correlated with MEX3A and MUC5AC expression,but positively correlated with CDX2 and MUC2 expression(P<0.05).MEX3A was negatively correlated with the expression of CDX2 and MUC2,and positively correlated with the expression of MUC5AC in gastric cancer(P<0.05).MEX3A was negatively correlated with the expression of CDX2 and MUC2 in intestinal metaplasia(P<0.05),while CDX2 was positively correlated with the expression of MUC2(P<0.05).Conclusion MEX3A is negatively correlated with gastric cancer and intestinal metaplasia differentiation.Gastric cancer is characterized by high MEX3A expression and low CDX2 and MUC2 expression.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.