Dendritic cells (DCs) serve as the primary antigen-presenting cells in autoimmune diseases, like rheumatoid arthritis (RA), and exhibit distinct signaling profiles due to antigenic diversity. Type II collagen (CII) has been recognized as an RA-specific antigen; however, little is known about CII-stimulated DCs, limiting the development of RA-specific therapeutic interventions. In this study, we show that CII-stimulated DCs display a preferential gene expression profile associated with migration, offering a new perspective for targeting DC migration in RA treatment. Then, saikosaponin D (SSD) was identified as a compound capable of blocking CII-induced DC migration and effectively ameliorating arthritis. Optineurin (OPTN) is further revealed as a potential SSD target, with Optn deletion impairing CII-pulsed DC migration without affecting maturation. Function analyses uncover that OPTN prevents the proteasomal transport and ubiquitin-dependent degradation of C-C chemokine receptor 7 (CCR7), a pivotal chemokine receptor in DC migration. Optn-deficient DCs exhibit reduced CCR7 expression, leading to slower migration in CII-surrounded environment, thus alleviating arthritis progression. Our findings underscore the significance of antigen-specific DC activation in RA and suggest OPTN is a crucial regulator of CII-specific DC migration. OPTN emerges as a promising drug target for RA, potentially offering significant value for the therapeutic management of RA.

BACKGROUND:In recent years,with the improvement of living standards,non-alcoholic fatty liver disease has a gradually increasing trend.miRNA-122 is one of the most abundant microRNAs in the liver,which plays an important role in maintaining the environmental stability and differentiation of the liver.Exercise training is a non-drug treatment for non-alcoholic fatty liver disease,which may improve liver lipid metabolism by regulating the expression of miRNA-122. OBJECTIVE:To review the effects of miRNA-122 on the pathological factors related to non-alcoholic fatty liver disease as well as the effects of exercise on the expression of miRNA-122 and the occurrence and development of nonalcoholic fatty liver disease. METHODS:The first author searched the databases of CNKI,WanFang,VIP,PubMed,Geenmedical,EBSCO,Medline,Web of Science,and Elsevier using"non-alcoholic fatty liver disease,microRNA,microRNA-122,lipid metabolism,inflammatory response,insulin resistance,exercise,physical exercise,exercise training"as the English and Chinese search terms for all relevant literature published before June 5,2022.All included documents were screened,summarized,and analyzed.Finally,68 documents were included for review. RESULTS AND CONCLUSION:Compared with the healthy control group,the expression of circulating miRNA-122 is increased in patients with non-alcoholic fatty liver disease.The level of miRNA-122 may show different expression levels at different stages of non-alcoholic fatty liver disease.miRNA-122 can regulate the expression of downstream-related proteins,influence lipid metabolism,inflammatory response,insulin resistance and other pathogenic factors in non-alcoholic fatty liver disease by targeting base complementary pairing sites on mRNA or directly acting as physiological ligands of some RNA receptors.Different exercise modes can improve non-alcoholic fatty liver disease.Therefore,patients with non-alcoholic fatty liver disease need to complete at least 120 minutes of moderate-intensity exercise every week to have a positive effect.For patients who can tolerate various exercises,priority should be given to the combination of aerobic and resistance exercises 4-5 times a week.The exercise intensity should be 50%-70%of the maximum heart rate and the exercise should last for>3 months.For patients with poor tolerance,resistance exercise may be more feasible than aerobic exercise.In addition,patients with non-alcoholic fatty liver disease can also choose proper exercise modes according to their own disease conditions(such as liver enzymes and lipid levels).Exercise can be used as a feasible strategy to prevent non-alcoholic fatty liver disease,reduce liver steatosis,and alleviate liver inflammatory response and insulin resistance.Exercise training can regulate the expression of miRNA-122,but in patients with non-alcoholic fatty liver disease,the effect of exercise on miRNA-122 and its related signal pathways remains to be studied.

Objective:To evaluate the health benefits and intervention efficiency of different strategies of initiating antihypertensive therapy for the primary prevention of cardiovascular diseases in a community-based Chinese population from the Chinese electronic health records research in Yinzhou(CHERRY)study.Methods:A decision-analytic Markov model was used to simulate and compare different antihy-pertensive initiation strategies,including:Strategy 1,initiation of antihypertensive therapy for Chinese adults with systolic blood pressure(SBP)≥140 mmHg(2020 Chinese guideline on the primary preven-tion of cardiovascular diseases);Strategy 2,initiation of antihypertensive therapy for Chinese adults with SBP≥130 mmHg;Strategy 3,initiation of antihypertensive therapy for Chinese adults with SBP ≥140 mmHg,or with SBP between 130 and 140 mmHg and at high risk of cardiovascular diseases(2017 American College of Cardiology/American Heart Association guideline for the prevention,detection,evaluation,and management of high blood pressure in adults);Strategy 4,initiation of antihypertensive therapy for Chinese adults with SBP≥ 160 mmHg,or with SBP between 140 and 160 mmHg and at high risk of car-diovascular diseases(2019 United Kingdom National Institute for Health and Care Excellence guideline for the hypertension in adults:Diagnosis and management).The high 10-year cardiovascular risk was de-fined as the predicted risk over 10％based on the 2019 World Health Organization cardiovascular disease risk charts.Different strategies were simulated by the Markov model for ten years(cycles),with parame-ters mainly from the CHERRY study or published literature.After ten cycles of simulation,the numbers of quality-adjusted life years(QALY),cardiovascular events and all-cause deaths were calculated to evaluate the health benefits of each strategy,and the numbers needed to treat(NNT)for each cardiovas-cular event or all-cause death could be prevented were calculated to assess the intervention efficiency.One-way sensitivity analysis on the uncertainty of incidence rates of cardiovascular disease and probabilis-tic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.Results:A to-tal of 213 987 Chinese adults aged 35-79 years without cardiovascular diseases were included.Com-pared with strategy 1,the number of cardiovascular events that could be prevented in strategy 2 increased by 666(95％UI:334-975),while the NNT per cardiovascular event prevented increased by 10(95％UI:7-20).In contrast to strategy 1,the number of cardiovascular events that could be prevented in strategy 3 increased by 388(95％UI:194-569),and the NNT per cardiovascular event prevented decreased by 6(95％UI:4-12),suggesting that strategy 3 had better health benefits and intervention efficiency.Compared to strategy 1,although the number of cardiovascular events that could be prevented decreased by 193(95％UI:98-281)in strategy 4,the NNT per cardiovascular event prevented decreased by 18(95％UI:13-37)with better efficiency.The results were consistent in the sensitivity analyses.Conclusion:When initiating antihypertensive therapy in an economically developed area of China,the strategy combined with cardiovascular risk assessment is more efficient than those purely based on the SBP threshold.The cardiovascular risk assessment strategy with different SBP thresholds is suggested to balance health benefits and intervention efficiency in diverse populations.

Objective:To investigate the epidemiological characteristics of herpangina (HA) and its correlation with the incidence of hand, foot and mouth disease (HFMD) in children aged ≤6 years in Yinzhou District of Ningbo from 2017 to 2022.Methods:Epidemiological characteristics of HA in children aged ≤6 years were analyzed based on the electronic medical record data and public health management data from 2017 to 2022 collected from the Health Information Platform of Yinzhou. The incidence of HFMD was calculated using the infectious disease reporting data from the public health management data. Autoregressive integrated moving average model and cross-correlation function were used to evaluate the correlation between the incidence of HA and HFMD.Results:From 2017 to 2022, a total of 25 385 cases of HA were detected in children aged ≤6 years in Yinzhou, the male-to-female ratio of the cases was 1.12∶1. The average annual incidence of HA was 4 986.67/100 000, with the highest incidence in 2018 (10 477.09/100 000) and the lowest incidence in 2020 (870.88/100 000). The incidence peak of HA was during June to July. The incidence of HA was higher in age group 1 year (7 950.45/100 000) than in other age groups. The incidences of HA in Yunlong, Jiangshan and Xiaying were higher, with the incidence of 8 764.31/100 000, 8 377.58/100 000 and 7 965.31/100 000, respectively. The correlation coefficients between the incidence of HA and HFMD at lag day 0, 7, 12 and 18 were 0.199, 0.139, 0.090 and 0.086, respectively (all P<0.05). Conclusions:From 2017 to 2022, the incidence of HA was high in children aged ≤6 years in Yinzhou with obvious seasonality and area difference. The incidence of HA was correlated with the incidence of HFMD and the incidence of HFMD had certain lags. The comprehensive prevention and control of HA and HFMD should be further strengthened by prioritizing HA surveillance and implementing integrated surveillance and management of HA and HFMD.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To understand the current status of gastroscopy in diagnosing gastric lesions in general population, and to recommend the optimal age for the first gastroscopy and intervals for repeated gastroscopy.Methods:The gastroscopy records of residents aged 18-80 years in Yinzhou District of Ningbo, Zhejiang Province, between April 2010 and December 2021 were analyzed retrospectively. The detections of gastric lesions across different years, age and genders were described. Goodness of fit tests were applied to compare the differences in detection rates of different lesions in first-time endoscopy in different age groups and different populations. Generalized additive models were used to fit the trend of age specific gastric lesion detection rate explore the optimal age for gastroscopy. The appropriate gastroscopy intervals were determined according to the progress of the gastric lesions detected in repeated gastroscopy.Results:A total of 237 751 participants with 344 398 gastroscopy records were included in analyses. A total of 5 597 cases of chronic atrophic gastritis (CAG), 9 796 cases of intestinal metaplasia (IM), 165 cases of low-grade intraepithelial neoplasia (LGIN), 52 cases of high-grade intraepithelial neoplasia (HGIN) and 435 cases of gastric cancer were detected by the first gastroscopy. The overall detection rate of gastric lesions increased significantly in age group 45-70 years, and remained stable after 70 years old, with LGIN and HGIN showing notable increases at 50 and 55 years old, respectively. Repeated gastroscopy detected CAG, IM, LGIN, and HGIN at a higher rate compared with the first gastroscopy. Normal/superficial gastritis progressed in 3-5 years, whereas CAG or more severe lesions progressed in 1-6 years.Conclusion:Gastroscopy is recommended for general population aged 45 years and above. Furthermore, gastroscopy can be performed every 3-5 years for individuals with normal endoscopy results and once a year for patients with CAG or more severe gastric lesions.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

The treatment of glioblastoma, the most prevalent malignant tumor in the central nervous system, poses considerable challenges. Glioblastoma multiforme, classified as a grade Ⅳ highly malignant brain glioma by the World Health Organization, is typically managed through a combination of surgery, postoperative chemotherapy, and radiotherapy. The treatment of glioblastoma is complicated by its infiltrative nature, genetic heterogeneity, and presence of the blood-brain barrier. Almost all cases of glioblastoma experience recurrence despite aggressive therapy, exploring the development of updated molecular treatment strategies that can improve overall efficacy. A crucial aspect in modern neurosurgery is the precise delineation of brain regions in terms of their anatomy and function. It serves as the fundamental basis for investigating variations in the distribution of brain gliomas. Hence, this review will elucidate the origin of glioblastomas and analyze the potential factors contributing to the spatially specific distribution of gliomas on the basis of a theoretical framework of brain connectomics research. Molecular characteristics, information pathways, tumor microenvironment landscape, and immunology will inform the analysis. We aim to identify novel biomolecular targets and therapeutic pathways to gain scientific insights for effective glioblastoma treatment.

Objective To investigate the differences and the immunocompatibility of wild-type (WT), four-gene modified (TKO/hCD55) and six-gene modified (TKO/hCD55/hCD46/hTBM) pig erythrocytes with human serum. Methods The blood samples were collected from 20 volunteers with different blood groups. WT, TKO/hCD55, TKO/hCD55/hCD46/hTBM pig erythrocytes, ABO-compatible (ABO-C) and ABO-incompatible (ABO-I) human erythrocytes were exposed to human serum of different blood groups, respectively. The blood agglutination and antigen-antibody binding levels (IgG, IgM) and complement-dependent cytotoxicity were detected. The immunocompatibility of two types of genetically modified pig erythrocytes with human serum was evaluated. Results No significant blood agglutination was observed in the ABO-C group. The blood agglutination levels in the WT and ABO-I groups were higher than those in the TKO/hCD55 and TKO/hCD55/hCD46/hTBM groups (all P<0.001). The level of erythrocyte lysis in the WT group was higher than those in the ABO-C, TKO/hCD55 and TKO/hCD55/hCD46/hTBM groups. The level of erythrocyte lysis in the ABO-I group was higher than those in the TKO/hCD55 and TKO/hCD55/hCD46/hTBM groups (both P<0.01). The pig erythrocyte binding level with IgM and IgG in the TKO/hCD55 group was lower than those in the WT and ABO-I groups. The pig erythrocyte binding level with IgG and IgM in the TKO/hCD55/hCD46/hTBM group was lower than that in the WT group and pig erythrocyte binding level with IgG was lower than that in the ABO-I group (all P<0.05). Conclusions The immunocompatibility of genetically modified pig erythrocytes is better than that of wild-type pigs and close to that of ABO-C pigs. Humanized pig erythrocytes may be considered as a blood source when blood sources are extremely scarce.