OBJECTIVE To provide suggestions for improving the path and system construction of patient engagement in drug regulation in China. METHODS By reviewing initiatives and experiences from the United States （U. S.）， European Union （EU）， and Japan in promoting patient engagement， this study summarizes the roles and contributions of patients in the entire drug regulatory process internationally. Combining China’s current progress and challenges in patient engagement， specific proposals are formulated to refine regulatory pathways and institutional systems. RESULTS & CONCLUSIONS With growing global emphasis on patient engagement as a regulatory strategy， countries or regions such as the U.S.， EU， and Japan have established clear policies， designated oversight agencies， and developed diversified pathways for patient engagement. Patients contribute to regulatory processes through advisory meetings， direct decision-making roles， and leveraging lived experiences and expertise to optimize drug evaluation and monitoring. In contrast， China’s patient engagement remains primarily limited to clinical value- oriented drug development， lacking formal policy guidance. It is recommended that China， based on its existing policy system， further strengthen the construction of a safeguard system for patient engagement， improve the capacity building and pathway models for patient participation in pharmaceutical regulation， and promote the continuous development of patient engagement in pharmaceutical regulation in our country.

OBJECTIVE To construct an evaluation index system for the core competencies of ethics committee members of drug clinical trial institution， providing a basis for optimizing the training system for committee members， improving the quality of ethical review， and fully safeguarding the safety and rights of subjects. METHODS Using methods such as literature research and expert consultation， a preliminary core competency evaluation index system was constructed. The Delphi method was employed to revise and validate it， ultimately forming an evaluation index system for the core competencies of ethics committee members. Based on this system， a questionnaire survey was conducted among 90 ethics committee members from 29 drug clinical trial institutions nationwide， comparing their importance rating and self-assessment scores of the core competency indexes. RESULTS The evaluation system constructed included 4 primary indicators （ethics and professional knowledge， ethics review ability， communication and expression ability， moral integrity and work style） and 39 secondary indicators （familiarity with the content of clinical trial-related laws and regulations， ability to complete project ethics review and identify ethical defects in research protocols within a short period of time， ability to judge the scientific value of clinical research， etc.）. The results of questionnaire survey showed that the interviewed ethics committee members had significant capability gaps in dimensions such as regulatory knowledge， ethical norms， review efficiency， risk judgment， and problem analysis. The differences between the importance rating scores of corresponding secondary indicators and the self-assessment scores were all no less than 0.38. CONCLUSIONS This study has developed a quantifiable and stratified core competency assessment tool for ethics committee members. It can provide a scientific framework for committee member training， qualification certification， and standardized management of ethics committees.

Objective To evaluate the correlation between alterations in DNase1 and DNase1L3 enzyme activities and impairment of NET degradation in patients with sporadic SLE, and to investigate the underlying mechanism. Methods 46 sporadic SLE patients and 30 age- and sex-matched healthy individuals were recruited. Serum levels of DNase1, DNase1L3 and corresponding autoantibodies were detected by ELISA. DNase1 and DNase1L3 were isolated by immunoprecipitation; NETs and enzyme degradation activities were detected using a modified immunofluorescence. DNase1L3 secretion by PBMCs was analyzed by ELISPOT, Western blotting and reverse transcription PCR. Results Levels of H3-dsDNA and Ela-dsDNA complexes were significantly elevated in SLE patients. LDGs in SLE population was significantly higher than in the control group, and LDGs was positively correlated with H3-dsDNA and Ela-dsDNA NETs complexes. The ability of SLE patients to degrade NET in vitro was significantly lower than that of the control group. Degradation experiments of DNase1 and DNase1L3 in different proportions showed that the decrease in DNase1L3 activity was the primary contributor to the elevated NET residue level. The concentration of DNase1L3 autoantibodies in SLE patients was significantly elevated compared to the control group. In addition, the capacity of PBMCs to secrete DNase1L3 was significantly lower in the SLE patients compared to the control group. Conclusion Decreased secretion of DNase1L3 and the presence of relevant autoantibodies notably impede NET degradation in patients with SLE, offering new directions for the monitoring and treatment of SLE patients.
Humans ; Autoantibodies ; Blotting, Western ; Enzyme-Linked Immunosorbent Assay ; Extracellular Traps ; Lupus Erythematosus, Systemic

The early response of plant auxin gene family Aux/IAA (auxin/indole-3-acetic acid) and its interaction with auxin response factor (ARF) are important pattern to regulate plant growth and development. This work identified 28 StoIAA and 24 StoARF members based on the whole genome data of the medicinal plant Senna tora L., which were classified into 10 and 8 subfamilies, respectively. Phylogenetic tree and collinearity analysis showed that S. tora has close evolutionary relationship with the IAA and ARF homologous genes of Glycine max, Medicago truncatula, and the segment duplication events dominate the expansion of StoIAA and StoARF. Gene structure analysis showed that the vast majority of StoIAA and StoARF contain characteristic conserved domain. Transcriptome data showed that StoIAAs and StoARFs were expressed in leaves, roots and seeds, some members had tissue specific expression. The StoIAA and StoARF promoter region most contain functional elements related to stress response, growth and development, hormone induction and secondary metabolism. In addition, gene expression analysis showed that many StoIAAs and StoARFs can quickly respond to drought and salt stress and exhibited same expression patterns under both stress condition. The yeast two-hybrid experiment confirmed that StoARF8 and StoARF10 exhibit varying degrees of interaction with multiple StoIAA proteins, respectively. The above results provide a basis for further biological functional analysis of the Aux/IAA and ARF gene family of S. tora.

Objective To investigate the safety and effectiveness of transumbilical repair for hernia of linea alba within 3 cm above the umbilicus.Methods Clinical data of 26 patients who underwent transumbilical approach hernia repair in our hospital from June 2016 to July 2022 were retrospectively analyzed.Color ultrasound examination showed that the distance from the lower edge of the hernia to the upper edge of the umbilicus was≤3 cm.The hernia repair was performed through the fascial space via the upper edge approach of the umbilical ring.There were 7 boys and 19 girls.The age was 7 months to 11 years old(median,3 years old).The distance from the lower edge of the hernia sac to the upper edge of the umbilicus was(1.46±0.66)cm,and the diameter of the hernia of linea alba was(1.16±0.57)cm.Results The surgery was completed smoothly.The operation time was(39.1±26.3)min.No complication was noted.All the patients were discharged one day after surgery.The follow-ups lasted for 1 year and 2 months to 7 years and 3 months(median,5 years and 1 month).No wound infection,bleeding or other complications occurred.No recurrence of hernia or formation of skin granulomas happened.Conclusion Transumbilical approach repair for hernia of linea alba within 3 cm above the umbilicus is safe and effective,with good cosmetic results.

ObjectiveTo explore the syndrome elements and evolving patterns of patients with hepatitis B virus-related acute on chronic liver failure （HBV-ACLF） at different stages. MethodsClinical information of 1,058 hospitalized HBV-ACLF patients， including 618 in the early stage， 355 in the middle stage， and 85 in the late stage， were collected from 18 clinical centers across 12 regions nationwide from January 1， 2012 to February 28， 2015. The “Hepatitis B-related Chronic and Acute Liver Failure Chinese Medicine Clinical Questionnaire” were designed to investigate the basic information of the patients， like the four diagnostic information （including symptoms， tongue， pulse） of traditional Chinese medicine （TCM）， and to count the frequency of the appearance of the four diagnostic information. Factor analysis and cluster analysis were employed to determine and statistically analyze the syndrome elements and patterns of HBV-ACLF patients at different stages. ResultsThere were 76 four diagnostic information from 1058 HBV-ACLF patients， and 53 four diagnostic information with a frequency of occurrence ≥ 5% were used as factor analysis entries， including 36 symptom information， 12 tongue information， and 5 pulse information. Four types of TCM patterns were identified in HBV-ACLF， which were liver-gallbladder damp-heat pattern， qi deficiency and blood stasis pattern， liver-kidney yin deficiency pattern， and spleen-kidney yang-deficiency pattern. In the early stage， heat （39.4%， 359/912） and dampness （27.5%， 251/912） were most common， and the pattern of the disease was dominated by liver-gallbladder damp-heat pattern （74.6%， 461/618）； in the middle stage， dampness （30.2%， 187/619） and blood stasis （20.7%， 128/619） were most common， and the patterns of the disease were dominated by liver-gallbladder damp-heat pattern （53.2%， 189/355）， and qi deficiency and blood stasis pattern （27.6%， 98/355）； and in the late stage， the pattern of the disease was dominated by qi deficiency （26.3%， 40/152） and yin deficiency （20.4%， 31/152）， and the patterns were dominated by qi deficiency and blood stasis pattern （36.5%， 31/85）， and liver-gallbladder damp-heat pattern （25.9%， 22/85）. ConclusionThere are significant differences in the distribution of syndrome elements and patterns at different stages of HBV-ACLF， presenting an overall trend of evolving patterns as "from excess to deficiency， transforming from excess to deficiency"， which is damp-heat → blood stasis → qi-blood yin-yang deficiency.

Objective To investigate the epidemiological characteristics and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022, so as to provide insights into formulation of the clonorchiasis control measures in the province. Methods Xinhui District of Jiangmen City, Longmen County of Huizhou City and Wengyuan County of Shaoguan City in Guangdong Province were selected as fixed surveillance sites for human clonorchiasis from 2016 to 2022, and additional 10% to 15% counties (districts) endemic for clonorchiasis were sampled from Guangdong Province as mobile surveillance sites each year from 2016 to 2022. A village (community) was randomly selected from each surveillance site according to the geographical orientations of east, west, south, north and middle, and subjects were randomly sampled from each village (community). C. sinensis eggs were detected in subjects’ stool samples using the Kato-Katz technique, and the prevalence and intensity of C. sinensis infections were calculated. In addition, subjects’ gender, age, ethnicity, educational level and occupation were collected. The Guangdong Provincial 1:1 million electronic map in vector format was downloaded from the National Geomatics Center of China, and kernel density analysis and spatial autocorrelation analysis of C. sinensis human infections in Guangdong Province from 2016 to 2022 were performed using the software ArcGIS 10.7. Results A total of 153 188 residents were tested for C. sinensis infections in Guangdong Province from 2016 to 2022, including 75 596 men (49.35%) and 77 592 women (50.65%), and there were 5 369 residents infected with C. sinensis, with 3.50% overall prevalence of infections. The prevalence rates of severe, moderate and mild C. sinensis infections were 0.76%, 7.26% and 91.97% among C. sinensis-infected residents in Guangdong Province from 2016 to 2022, and there were age-, gender-, ethnicity-, occupation- and educational level-specific prevalence of C. sinensis human infections (χ² = 2 578.31, 637.33, 52.22, 2 893.28 and 1 139.33, all P values < 0.05). Global spatial autocorrelation analysis showed a cluster in the prevalence of C. sinensis human infections in Guangdong Province (Moran’s I = 0.63, Z = 27.31, P < 0.05). Kernel density analysis showed that the prevalence of C. sinensis human infections with a high kernel density in Guangdong Province was mainly distributed along the Zhujiang River basin in Pearl River Delta areas, followed by in eastern and northern Guangdong Province. In addition, local spatial autocorrelation analysis identified 73 high-high clusters of the prevalence of C. sinensis human infections in Guangdong Province. Conclusions The prevalence of C. sinensis human infections was high in Guangdong Province from 2016 to 2022, and mild infection was predominant among all clonorchiasis cases, with spatial clusters identified in the prevalence of C. sinensis human infections. Targeted clonorchiasis control measures are required among high-risk populations and areas.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To investigate the impact of programmed death receptor-1(PD-1)and its ligand(PD-L1)on the differentiation of decidual macrophages(DMs)and embryonic development.Methods:20 patients with re-current spontaneous abortion(RSA group)and 20 patients with normal pregnancy induced artificial abortion(NP group)were selected from Sichuan Provincial People's Hospital between March 2021 and January 2024.Villous and decidual tissues were obtained from both groups.Real-time fluorescent quantitative polymerase chain reac-tion(qPCR)and Western blot techniques were used to detect the expression of PD-L1 mRNA and protein in vil-lous tissues.Flow cytometry was used to analyze the types of DMs and their PD-1 expression.Human monocytic leukemia cells(THP-1)were differentiated under different conditions,with a control group and a PD-1 blocked group established,and different reagents were added into those two groups to induce differentiation,then the pro-portion of DMs types was measured in both groups.Results:PD-L1 protein and mRNA were expressed in the vil-lous tissue of both groups of patients but the expression of PD-L1 protein and mRNA was reduced in the RSA group compared to the NP group(P<0.05).The decidual tissues of both groups contained M1 and M2 macro-phages.Compared with the NP group,the ratio of M2 to M1 DMs in the RSA group was lower(P<0.05),indica-ting a polarization towards the M1 type in DMs.There was no statistically significant difference in PD-1 expression between the two groups(P>0.05).Human THP-1 cells can be stimulated to differentiate into M1 and M2 macro-phages.Afterblocking PD-1,theratioof M2 to M1 macrophages decreased(P<0.05),indicating a polarization towards the M1 type in macrophages.Conclusions:In patients with RSA,the expression of PD-L1 in villous tis-sues is decreased,and DMs polarize towards the M1 type.Blocking the PD-1/PD-L1 pathway can further promote the polarization of macrophages towards the M1 type.The influence of PD-1/PD-L1 pathway on macrophage po-larization may provide new insights into the pathogenesis of RSA.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.