ObjectiveNon-invasive magnetic stimulation technology has been widely used in the treatment of Alzheimer’s disease (AD), but there is a lack of convenient and timely methods for evaluating and providing feedback on the effectiveness of the stimulation, which can be used to guide the adjustment of the stimulation protocol. This study aims to explore the possibility of heart rate variability (HRV) in diagnosing AD and guiding AD magnetic stimulation intervention techniques. MethodsIn this study, we used a 40 Hz, 10 mT pulsed magnetic field to expose AD mouse models to whole-body exposure for 18 d, and detected the behavioral and electroencephalographic signals before and after exposure, as well as the instant electrocardiographic signals after exposure every day. ResultsUsing one-way ANOVA and Pearson correlation coefficient analysis, we found that some HRV indicators could identify AD mouse models as accurately as behavioral and electroencephalogram(EEG) changes (P<0.05) and significantly distinguish the severity of the disease (P<0.05), including rMSSD, pNN6, LF/HF, SD1/SD2, and entropy arrangement. These HRV indicators showed good correlation and statistical significance with behavioral and EEG changes (r>0.3, P<0.05); HRV indicators were significantly modulated by the magnetic field exposure before and after the exposure, both of which were observed in the continuous changes of electrocardiogram (ECG) (P<0.05), and the trend of the stimulation effect was more accurately observed in the continuous changes of ECG. ConclusionHRV can accurately reflect the pathophysiological changes and disease degree, quickly evaluate the effect of magnetic stimulation, and has the potential to guide the pattern of magnetic exposure, providing a new idea for the study of personalized electromagnetic neuroregulation technology for brain diseases.

Demyelination of the central nervous system often occurs in neurodegenerative diseases， such as multiple sclerosis （MS）. The myelin sheath， a layer of myelin membrane wrapping the axon， plays a role in the rapid conduction and metabolic coupling of impulses for neurons. The exposure of the axon will lead to axonal degeneratio， and further neuronal degeneration， which is the main cause of dysfunction and even disability in patients with demyelinating neurodegenerative diseases. In addition to the demyelination of mature myelin sheath， remyelination disorder is also one of the major reasons leading to the development of the diseases. The myelin sheath is composed of oligodendrocytes （OLs） derived from oligodendrocyte progenitor cells （OPCs） which are differentiated from neural stem cells （NSCs）. The process of myelin regeneration， i.e.， remyelination， is the differentiation of NSCs into OLs. Recent studies have shown that this process is regulated by a variety of genes. MicroRNAs， as important regulators of neurodegenerative diseases， form a complex regulatory network in the process of myelin regeneration. This review summarizes the main molecular pathways of myelin regeneration and microRNAs involved in this process and classifies the mechanisms and targets. This review is expected to provide a theoretical reference for the future research on the treatment of demyelinating diseases by targeting the regulation of microRNAs.

This article elaborates on the complex cross-talk and close relationship between muscles and bones involved in this disease,as well as its pathogenesis.It also summarizes that the difficulty of its treatment lies in the need to simultaneously consider both muscles and bones.And elaborated on the key role of the Hedgehog signaling pathway in embryonic development,tissue morphology establishment,and human tissue regeneration and repair.Investigated the remodeling effect of the Hedgehog signaling pathway on skeletal muscle from three aspects:Proliferation and differentiation of muscle stem cells,precursor cell and muscle fiber generation,inhibition of inflammation,and regulation of immunity;this article elucidates the role of the Hedgehog signaling pathway in bone reconstruction from two aspects.

Objective:To analyze the comorbidity status and influencing factors of hypertension, diabetes, and dyslipidemia among middle-aged and elderly in Jiangsu Province and to provide support for "co-management of the three diseases".Methods:Data originated from the Comprehensive Prevention and Control Project of Cardiovascular and Cerebrovascular Diseases baseline survey in Jiangsu Province. Questionnaire interviews, physical examinations, and laboratory tests were conducted on 136 433 permanent residents aged ≥35 years who participated in the survey from 2021 to 2023. A multinomial logit model was established using SPSS 23.0 to analyze the influencing factors of the three comorbidities.Results:The comorbidity rate of hypertension, diabetes, and dyslipidemia among middle-aged and older adults in Jiangsu Province was 7.3%. Hypertension combined with dyslipidemia was the main comorbidity pattern, and patients with diabetes accounted for the largest proportion. Multinomial logistic regression analysis showed that the risk of being two types of the three comorbidities was higher in male, aging, urban residents, and those with high/technical secondary school, higher frequency of cigarette smoking and alcohol drinking, and longer daily sedentary time; the risk was lower in those with higher the level of physical activity and longer daily sleep time. Among the three types of comorbidities, males with aging, high/technical secondary school, regular smoking/quitting, higher frequency of alcohol drinking, and longer daily sedentary time had higher risk; those with an annual family income of 30 000-99 999 RMB, higher level of physical activity, and the daily sleep time of 7 hours had the lower risk (all P<0.05). Conclusions:The prevention and control of the three comorbidities among middle-aged and older adults in Jiangsu Province still needs strengthening. High-risk groups for the three diseases and comorbidities, such as males, low-income , and high/technical secondary school should be focused on. Middle-aged and older adults are suggested to increase daily physical activity, reduce daily static time, reasonably arrange sleep duration, and quit smoking and drinking as early as possible to maintain a healthy weight.

AIM To study the chemical constituents from Lonicera japonica Thunb.and their antioxidant activities.METHODS The extract from L.japonica was isolated and purified by D101 macroporous resin,silica gel column and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH free radical scavenging method.RESULTS Fifteen compounds were isolated and identified as dearabinosyl pneumonanthoside(1),5α-carboxystrictosidine(2),apigenin 7-O-glucoside(3),ethyl caffeate(4),isorhamnetin-3-O-β-D-glucopyranoside(5),luteolin 7-O-glucoside(6),quercetin 3-O-β-glucoside(7),luteolin 7-O-rutinoside(8),luteolin-7-O-neohesperidoside(9),hydnocarpin(10),methyl chlorogenate(11),(Z)-aldosecolohanin(12),kaempferol 3-O-β-D-glucoside(13),chlorogenic acid butyl ester(14),(-)-syringaresinol(15).The IC50 values of DPPH free radical scavenging of compounds 3,5-10,13-14 were 6.70-36.25 μmol/L.CONCLUSION Compounds 1-2,8,9-11 and 15 are isolated from genus Lonicera for the first time.Compounds 3,5-10,13-14 show good antioxidant activities.

This article introduced the policy background and the development of administration standards on drug electronic certificate,analyzed the current status and main problems of electronic certificate standards for drug regulation,elaborated the process of formulating standards,and explained the main contents of the standards.Combined with the application status of the standards,this paper offered suggestions to optimize and improve the standards.It provided guidance for local drug administration agencies to implement electronic certificates,and offered a foundation for the interoperability and mutual recognition of drug administration electronic certificates throughout the country.

Objective To construct a prediction model for postoperative healthcare-associated infection(HAI)in elderly patients with hip fracture,analyze the economic burden,provide a reference and basis for the development of clinical prevention and control programs.Methods 627 elderly patients who underwent hip fracture surgery in a hospital from January 1,2017 to May 31,2023 were selected as the study subjects.Patients were randomly divided into a modeling group and a validation group at a 7:3 ratio.A logistic regression prediction model was constructed based on data from the modeling group,the discriminant and consistency of the model were evaluated by receiver ope-rating characteristic(ROC)curve and Hosmer-Lemeshow test,and the direct economic burden of postoperative HAI in patients was analyzed with 1∶1 propensity score matching(PSM).Results The incidence of postoperative HAI in elderly patients with hip fracture surgery was 12.1％,with pulmonary infection being the most common(52.6％).Logistic regression analysis showed that male,old age,perioperative disturbance of consciousness,gradeⅣ of American Society of Anesthesiologists(ASA)classification,low albumin level,and intensive care unit(ICU)admission were all independent risk factors for postoperative HAI in patients(all P＜0.05).There was good model discrimination and consistency between the training and validation groups in predicting the risk of postoperative HAI.The direct economic burden of postoperative HAI in patients was 7 927.4 Yuan,of which the burden of wes-tern medicine was the largest(3 139.7 Yuan).HAI prolonged patients hospitalization time by 3.6 days.Conclusion Postoperative HAI increases the economic burden of patients,the nomogram model constructed in this study can effectively predict the risk of postoperative HAI in patients,which can provide a basis for the early identification,as well as the implementation of targeted preventive and diagnostic measures for high-risk patients in the clinic.

Objective To construct c-Met CAR-T cells secreting PD-1 antibodies to reduce immune inhibitory effect of tumor cells and enhance the efficacy of CAR-T cell therapy against pancreatic cancer.Methods Kaplan-Meier Plotter,GEPIA,and Timer 2.0 bioinformatics databases were used to analyze c-Met expression in pancreatic cancer and its correlation with survival and immune infiltration status.In clinical samples of pancreatic cancer and pancreatic cancer Aspc-1 cells,c-Met and PD-L1 expressions were detected using immunohistochemistry or flow cytometry.Using gene editing technology,PD-1 secretory antibodies and HIS tags were linked to second-generation c-Met CAR molecules to construct PD-1/c-Met CAR plasmids,which were then packaged into lentiviruses for infection of activated T cells.The positive rate and cell subset distribution of CAR-T cells were analyzed with flow cytometry,and secretory PD-1 antibodies in cell supernatants were detected using Western blotting.The target cell killing efficiency and proliferative activity of the modified CAR-T cells were evaluated after activation,and cytokine secretion was analyzed using ELISA.Results The expression of c-Met was significantly higher in pancreatic cancer than in normal tissues,and its expression level was negatively correlated with the patients'survival and positively correlated with immune cell infiltration.The clinical samples of pancreatic cancer tissues expressed significantly higher levels of c-Met and PD-L1 than the adjacent tissues,and 90.7%and 57.7%of Aspc-1 cells were positive for c-Met and PD-L1,respectively.The constructed PD-1/c-Met CAR-T cells were capable of secreting PD-1 antibodies and showed a significantly higher killing efficiency against tumor cells than c-Met CAR-T cells at an effector-to-target ratio of 20:1,with also a higher proliferative activity after target cell stimulation and higher levels of IL-2 and TNF-α secretin.Conclusion PD-1/c-Met CAR-T cells have higher killing efficiency against pancreatic cancer cells with also higher proliferative activity than c-Met CAR-T cells.

Objective To construct c-Met CAR-T cells secreting PD-1 antibodies to reduce immune inhibitory effect of tumor cells and enhance the efficacy of CAR-T cell therapy against pancreatic cancer.Methods Kaplan-Meier Plotter,GEPIA,and Timer 2.0 bioinformatics databases were used to analyze c-Met expression in pancreatic cancer and its correlation with survival and immune infiltration status.In clinical samples of pancreatic cancer and pancreatic cancer Aspc-1 cells,c-Met and PD-L1 expressions were detected using immunohistochemistry or flow cytometry.Using gene editing technology,PD-1 secretory antibodies and HIS tags were linked to second-generation c-Met CAR molecules to construct PD-1/c-Met CAR plasmids,which were then packaged into lentiviruses for infection of activated T cells.The positive rate and cell subset distribution of CAR-T cells were analyzed with flow cytometry,and secretory PD-1 antibodies in cell supernatants were detected using Western blotting.The target cell killing efficiency and proliferative activity of the modified CAR-T cells were evaluated after activation,and cytokine secretion was analyzed using ELISA.Results The expression of c-Met was significantly higher in pancreatic cancer than in normal tissues,and its expression level was negatively correlated with the patients'survival and positively correlated with immune cell infiltration.The clinical samples of pancreatic cancer tissues expressed significantly higher levels of c-Met and PD-L1 than the adjacent tissues,and 90.7%and 57.7%of Aspc-1 cells were positive for c-Met and PD-L1,respectively.The constructed PD-1/c-Met CAR-T cells were capable of secreting PD-1 antibodies and showed a significantly higher killing efficiency against tumor cells than c-Met CAR-T cells at an effector-to-target ratio of 20:1,with also a higher proliferative activity after target cell stimulation and higher levels of IL-2 and TNF-α secretin.Conclusion PD-1/c-Met CAR-T cells have higher killing efficiency against pancreatic cancer cells with also higher proliferative activity than c-Met CAR-T cells.

Purpose: To identify the relationship between emotional intelligence, occupational well-being, and work engagement among Chinese clinical nurses. Methods: This cross-sectional study is based on survey responses provided by 1744 registered nurses from a Chinese hospital. The survey utilized emotional intelligence, occupational well-being, and work engagement scales. Results: A questionnaire was distributed to nurses, and among them, 1744 filled it in. Work engagement was related to demographic characteristics. The nurses' work engagement score was 28.99±5.46. Work engagement was positively correlated with emotional intelligence (r=.94, p < .01) and occupational well-being (r=.96, p < .01). Conclusions The current work engagement of nurses in China is at a medium level. It is influenced by emotional intelligence and occupational well-being.