The iteration speed of drug innovation and novel therapeutic methods has fallen far short of expectations. Scientists have gradually shifted their focus to drugs or treatments that exhibit efficacy comparable to standard therapies but with fewer side effects， greater convenience， or lower costs. The application scenarios of non-inferiority trials （NITs） are gradually increasing. Among these， the rationality of the potential benefits in secondary indicators served as a prerequisite for implementing NITs. Ethics committees should conduct a thorough review of major parameters such as thresholds， positive controls， and sample size， make an overall judgment on trial quality， fully interpret the statistical analysis of study results and non-inferiority conclusions， and rigorously review informed consent forms. Only in this way can the smooth conduct of clinical trials be ensured， enabling more drugs and treatments with clinical benefits to enter clinical practice， advancing the development of medical research， and ultimately safeguarding the rights and interests， along with the safety of research participants.

Objective:To investigate the characteristics of resting-state mirror homotopic connectivity and the gray matter volume of brain in patients with neuropsychiatric systemic lupus erythematosus (NPSLE).Methods:From June 2020 to March 2023, a total of 35 NPSLE patients (NPSLE group) and 30 non-NPSLE patients (non-NPSLE group) were selected from Taizhou People's Hospital Affiliated to Nanjing Medical University, another 31 healthy volunteers were recruited as the healthy controls(HC group). All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) and mini-mental state examination (MMSE) assessments. The patients in NPSLE and non-NPSLE groups were additionally assessed using the fatigue scale for motor and cognitive functions (FSMC) and the hospital anxiety and depression scale (HADS).The DPABI V7.0 toolkit based on the MATLAB platform was used to preprocess the rs-fMRI data and calculate the voxel-mirrored homotopic connectivity(VMHC) indexes, and the differences in VMHC between groups were evaluated by covariance analysis in SPM12.0 software, and the VMHC values of brain regions with significant differences were extracted for further comparison between the two groups.Partial correlation analysis was performed to investigate the association between VMHC values and clinical parameters in NPSLE patients.The brain regions with significant differences between NPSLE patients and non-NPSLE patients were used as region of interest (ROI), and gray matter volumes within these ROIs were then calculated by VBM8 toolbox.Results:(1)There were statistically significant differences in the VMHC values of bilateral precentral gyrus, bilateral dorsolateral superior frontal gyrus, bilateral medial and paracingulate gyrus, bilateral parahippocampal gyrus, bilateral middle occipital gyrus, bilateral postcentral gyrus, and bilateral superior temporal gyrus among the 3 groups( F=11.246-14.102, all P<0.05). The NPSLE group exhibited significantly lower VMHC values in these regions compared to both the non-NPSLE group and HC group (all P<0.05), but there were no significant differences in these regions between the non-NPSLE group and HC group (all P>0.05).(2) The gray matter volumes of bilateral dorsolateral superior frontal gyrus(right: (0.57±0.11)mm 3, (0.65±0.08)mm 3, t=-3.409, P=0.001; left: (0.53±0.10)mm 3, (0.60±0.07)mm 3, t=-3.082, P=0.003), bilateral precentral gyrus(right: (0.32±0.06)mm 3, (0.35±0.04)mm 3, t=-2.044, P=0.045; left: (0.39±0.06)mm 3, (0.42±0.04)mm 3, t=-2.505, P=0.015), right medial and paracingulate gyrus((0.66±0.08)mm 3, (0.70±0.07)mm 3, t=-2.491, P=0.015) and left superior temporal gyrus((0.57±0.09)mm 3, (0.61±0.06)mm 3, t=- 2.344, P=0.022) in the NPSLE group were smaller than those of non-NPSLE group.(3)Correlation analysis showed that the VMHC value of dorsolateral superior frontal gyrus was positively correlated with IgA level in NPSLE patients ( r=0.353, P=0.047). Conclusion:Patients with NPSLE generally have decreased mirror homotopy functional connectivity in the cerebral hemispheres, accompanied by a decrease in gray matter volume in some brain regions, which can provide a certain neuroimaging basis for the pathogenesis of brain injury.

Objective:To investigate the awareness of medical staff on pharmacovigilance and the current situation of the construction of pharmacovigilance system in medical institutions.Methods:A self-designed questionnaire was sent to medical institutions in China through Professional Committee on Pharmacovigilance Research, China Society for Drug Regulation in the form of Wechat, and medical staff participated voluntarily. The contents of the questionnaire included 23 questions in 4 dimensions, including the basic information of the respondents, their understanding of the concept and regulations of pharmacovigilance, the management of pharmacovigilance, and the reporting and feedback of adverse drug reactions(ADRs)/events in their medical institutions. The survey time was from August 18, 2023 to October 18, 2023. The data from the questionnaire were analyzed descriptively.Results:The collected questionnaires were from medical institutions in 31 provinces, autonomous regions, and municipalities directly under the central government, with a total of over 100 questionnaires collected in each region. A total of 10 991 medical staff participated in the survey, including 5 504 pharmacists, 2 120 doctors, and 3 367 nurses. Among them, 10 131 (92.18%) respondents had heard of pharmacovigilance, 4 511 (41.04%) had participated in pharmacovigilance-related works, 9 368 respondents (86.41%) answered that the ADRs monitoring and management system had been established in medical institutions where they worked, 8 186 respondents (75.51%) answered that leading group for pharmacovigilance (including ADRs monitoring) had been set up in the medical institutions where they worked, 8 605 respondents (79.37%) answered that the pharmacovigilance works was managed by special personnel in the institutions where they worked, 7 859 (72.49%) answered that there were liaison officers in the clinical departments where they worked, 6 043 (55.74%) answered that the individuals would be rewarded for reporting ADRs, 4 809 (44.36%) answered that pharmacovigilance had been included in the daily works and assessment indicators of the departments, and 5 351 (49.36%) answered that reports of ADRs were reviewed by special personnel. Active reporting by medical staff was the main collection channel of ADRs, 3 391 (31.28%) answered they had actively captured ADRs from the hospital information system, and 7 728 (71.28%) answered they had reported ADRs through the hospital information system, 10 061 (92.81%) answered that the monitoring results of ADRs would be regularly fed back in the hospitals where they worked, and 6 239 (57.55%) answered that regular training on pharmacovigilance for all medical staff would be provided in the institutions where they worked.Conclusions:Medical staff have generally heard of pharmacovigilance and are aware of the national pharmacovigilance system, but they still have insufficient understanding of the concept and regulations of pharmacovigilance. The degree of participating in pharmacovigilance works of medical staff in different regions are different. The monitoring and management of ADRs could be paid attention to in the most medical institutions, but the degree of improvement of pharmacovigilance system in different levels of medical institutions is different.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

Objective To explore the correlation between diffusion weighted imaging(DWI)and intravoxel incoherent motion(IVIM)imaging parameter values in the marginal and central areas of cervical cancer tissue and the pathological characteristics of cervical cancer.Methods Forty-six patients with cervical cancer were selected and classified based on pathology results.Region of interest(ROI)were drawn in the marginal and central areas of each lesion on DWI and IVIM images respectively.And the statistical significance of each parameter of the lesion was compared and analyzed.Results The apparent diffusion coefficient(ADC)and D values measured in the marginal area between different groups were statistically significant than those in the central area(P＜0.05).The ADC and D values of cervical squamous cell carcinoma in the marginal area were lower than those of adenocarcinoma,the D value had the best discrimination ability.In distinguishing moderate and low differentiation of cervical squamous cell carcinoma,the D value of the marginal area had the best discriminative ability.In distinguishing high and low differentiation of cervical squamous cell carcinoma,the ADC and D values of the marginal area had equivalent discriminative ability.Conclusion The parameter values in the marginal area of cervical cancer lesions are statistically significant than those in the central area.Among the different pathological classifications of cervical cancer,the D value in the marginal area has better discrimination ability and can more truly reflect the pathological characteristics of cervical cancer.

Objective:To investigate the characteristics of resting-state mirror homotopic connectivity and the gray matter volume of brain in patients with neuropsychiatric systemic lupus erythematosus (NPSLE).Methods:From June 2020 to March 2023, a total of 35 NPSLE patients (NPSLE group) and 30 non-NPSLE patients (non-NPSLE group) were selected from Taizhou People's Hospital Affiliated to Nanjing Medical University, another 31 healthy volunteers were recruited as the healthy controls(HC group). All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) and mini-mental state examination (MMSE) assessments. The patients in NPSLE and non-NPSLE groups were additionally assessed using the fatigue scale for motor and cognitive functions (FSMC) and the hospital anxiety and depression scale (HADS).The DPABI V7.0 toolkit based on the MATLAB platform was used to preprocess the rs-fMRI data and calculate the voxel-mirrored homotopic connectivity(VMHC) indexes, and the differences in VMHC between groups were evaluated by covariance analysis in SPM12.0 software, and the VMHC values of brain regions with significant differences were extracted for further comparison between the two groups.Partial correlation analysis was performed to investigate the association between VMHC values and clinical parameters in NPSLE patients.The brain regions with significant differences between NPSLE patients and non-NPSLE patients were used as region of interest (ROI), and gray matter volumes within these ROIs were then calculated by VBM8 toolbox.Results:(1)There were statistically significant differences in the VMHC values of bilateral precentral gyrus, bilateral dorsolateral superior frontal gyrus, bilateral medial and paracingulate gyrus, bilateral parahippocampal gyrus, bilateral middle occipital gyrus, bilateral postcentral gyrus, and bilateral superior temporal gyrus among the 3 groups( F=11.246-14.102, all P<0.05). The NPSLE group exhibited significantly lower VMHC values in these regions compared to both the non-NPSLE group and HC group (all P<0.05), but there were no significant differences in these regions between the non-NPSLE group and HC group (all P>0.05).(2) The gray matter volumes of bilateral dorsolateral superior frontal gyrus(right: (0.57±0.11)mm 3, (0.65±0.08)mm 3, t=-3.409, P=0.001; left: (0.53±0.10)mm 3, (0.60±0.07)mm 3, t=-3.082, P=0.003), bilateral precentral gyrus(right: (0.32±0.06)mm 3, (0.35±0.04)mm 3, t=-2.044, P=0.045; left: (0.39±0.06)mm 3, (0.42±0.04)mm 3, t=-2.505, P=0.015), right medial and paracingulate gyrus((0.66±0.08)mm 3, (0.70±0.07)mm 3, t=-2.491, P=0.015) and left superior temporal gyrus((0.57±0.09)mm 3, (0.61±0.06)mm 3, t=- 2.344, P=0.022) in the NPSLE group were smaller than those of non-NPSLE group.(3)Correlation analysis showed that the VMHC value of dorsolateral superior frontal gyrus was positively correlated with IgA level in NPSLE patients ( r=0.353, P=0.047). Conclusion:Patients with NPSLE generally have decreased mirror homotopy functional connectivity in the cerebral hemispheres, accompanied by a decrease in gray matter volume in some brain regions, which can provide a certain neuroimaging basis for the pathogenesis of brain injury.

Alzheimer disease is a progressive neurodegenerative disorder which has emerged as a major public health concern with the global population aging, and the development of effective therapeutic agents has become increasingly urgent due to its rapid increase in prevalence. There is some progress in drug development, however, the majority of new drugs have failed to demonstrate sustained clinical efficacy in large-scale trials. In addition, high costs, severe side effects have further hindered the widespread application of these therapies. This article reviews recent progress in the development of pharmacological treatments for Alzheimer disease, focusing on disease-modifying therapies targeting amyloid-β and tau proteins, also analyzes the results of phase 2 and phase 3 clinical trials of traditional and novel drugs. Future research efforts should continue to explore novel therapeutic targets and strategies to offer more effective treatment options for patients with Alzheimer disease.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.