ObjectiveTo investigate the effect of icariin （ICA） on the phenotype of dendritic cells （DCs） in heart tissue of the Dahl salt-sensitive myocardial remodeling model of rats and its regulation on the vitamin D system. MethodsMale Dahl salt-resistant rats were divided into a normal group， and male Dahl salt-sensitive rats were divided into a model group， low-， medium-， and high-dose ICA groups （30， 60， 120 mg·kg^-1·d^-1）， and Vitamin D group （3×10^-5 mg·kg^-1·d^-1）. In addition to the normal group， the other groups were given an 8% high salt diet to establish a myocardial remodeling model and received intragastric administration after successful modelling once a day for six weeks. The dynamic changes in tail artery blood pressure were monitored， and detection of cardiac ultrasound function in rats was performed. Hematoxylin-eosin （HE） staining and Masson staining were used to observe the morphological changes in rat heart tissue. The phenotype of DCs and T helper cell 17 （Th17）/regulatory T cell （Treg） ratio were detected by flow cytometry. The mRNA and protein expression of vitamin D receptor （VDR）， 1α-hydroxylase （CYP27B1）， 24-hydroxylase （CYP24A1）， forkhead frame protein 3 （FoxP3）， solitaire receptor γt （RORγt）， myocardial type Ⅰ collagen （ColⅠ）， and type collagen （ColⅢ） in heart tissue was detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot. ResultsCompared with the normal group， the model group showed disordered arrangement and rupture of myocardial cells， nuclear condensation， significant edema of myocardial tissue， significant proliferation of collagen fibers in a network distribution， and a significant increase in tail artery blood pressure， left ventricular end diastolic diameter （LVEDD）， and left ventricular end systolic diameter （LVESD） （P<0.05）. The phenotype of cardiac DCs was CD40， CD80， and CD86， and the levels of major histocompatibility complex Ⅱ （MHC-Ⅱ）， Th17 cells， and Th17/Treg were significantly increased （P<0.05）. The mRNA and protein expression of CYP24A1 and RORγt in the heart， as well as the mRNA expression of ColⅠ and ColⅢ， were significantly increased （P<0.05）. The left ventricular ejection fraction （LVEF）， interventricular septal thickness （IVSD）， and left ventricular posterior wall thickness （LVPWD） were significantly decreased （P<0.05）. The phenotype of cardiac DCs such as CD11， CD11b， and Treg cells， were significantly reduced （P<0.05）， while the mRNA and protein expression of cardiac VDR， CYP27B1， and FoxP3 were significantly decreased （P<0.05）. Compared with the model group， the low-， medium-， and high-dose ICA groups and vitamin D group significantly reduced myocardial cell rupture and nuclear consolidation in rats. The high-dose ICA group and vitamin D group showed a small amount of myocardial cell rupture and nuclear consolidation， improving myocardial fiber arrangement to varying degrees and significantly reducing myocardial fiber rupture and proliferation. The tail artery blood pressure， LVEDD， and LVESD were significantly decreased in the low-， medium-， and high-dose ICA groups and vitamin D group （P<0.05）， and the phenotype of cardiac DCs including CD40， CD80， CD86， MHC-Ⅱ， Th17 cells， and Th17/Treg were significantly decreased （P<0.05）. The mRNA and protein expression of CYP24A1 and RORγt， and the mRNA expression of ColⅠ and ColⅢ in the heart were significantly decreased in the medium- and high-dose ICA groups and vitamin D group （P<0.05）. The LVEF， IVSD， and LVPWD of myocardial remodeling model rats in the low-， medium-， and high-dose ICA groups and vitamin D group were significantly increased （P<0.05）. The phenotypes of cardiac DCs including CD11， CD11b， and Treg cells were significantly increased in the medium- and high-dose ICA groups and the Vitamin D group （P<0.05）. The mRNA and protein expressions of VDR， CYP27B1， and FoxP3 in the heart were significantly increased in the medium- and high-dose ICA groups and vitamin D group （P<0.05）. ConclusionICA can regulate tail artery blood pressure， cardiac structural and functional damage， and myocardial tissue fibrosis and inhibit phenotype and functional maturation of DCs in heart tissue in the myocardial remodeling model of Dahl salt-sensitive rats. It can also affect the gene and protein expression of VDR， CYP24A1， and CYP27B1， achieving its intervention in Th17/Treg balance in the immune process of myocardial remodeling possibly by regulating vitamin D/VDR in heart tissue.

Objective:To explore the robust relationship between insomnia and type 2 diabetes mellitus by two-sample Mendelian randomization analysis to overcome confounding factors and reverse causality in observational studies.Methods:We identified strong,independent single nucleotide polymorphisms(SNPs)of insomnia from the most up to date genome wide association studies(GWAS)within European ancestors and applied them as instrumental variable to GWAS of type 2 diabetes mellitus.After excluding SNPs that were significantly associated with smoking,physical activity,alcohol consumption,educational attainment,obesity,or type 2 diabetes mellitus,we assessed the impact of insomnia on type 2 diabetes mellitus using inverse variance weighting(IVW)method.Weighted median and MR-Egger regression analysis were also conducted to test the robustness of the association.We calculated the F statistic of the selected SNPs to test the applicability of instrumental variable and F statistic over than ten indicated that there was little possibility of bias of weak instrumental variables.We further examined the existence of pleiotropy by testing whether the intercept term in MR-Egger regression was significantly different from ze-ro.In addition,the leave-one-out method was used for sensitivity analysis to verify the stability and relia-bility of the results.Results:We selected 248 SNPs independently associated with insomnia at the genome-wide level(P＜5 ×10-8)as a preliminary candidate set of instrumental variables.After clum-ping based on the reference panel from 1000 Genome Project and removing the potential pleiotropic SNPs,a total of 167 SNPs associated with insomnia were included as final instrumental variables.The F statistic of this study was 39.74,which was in line with the relevance assumption of Mendelian randomi-zation.IVW method showed insomnia was associated with higher risk of type 2 diabetes mellitus that po-pulation with insomnia were 1.14 times more likely to develop type 2 diabetes mellitus than those without insomnia(95％CI:1.09-1.21,P＜0.001).The weighted median estimator(WME)method and MR-Egger regression showed similar causal effect of insomnia on type 2 diabetes mellitus.And MR-Egger re-gression also showed that the effect was less likely to be triggered by pleiotropy.Sensitivity analyses pro-duced directionally similar estimates.Conclusion:Insomnia is a risk factor of type 2 diabetes mellitus,which has positively effects on type 2 diabetes mellitus.Our study provides further rationale for indivi-duals at risk for diabetes to keep healthy lifestyle.

Objective To standardize nursing management on postoperative patients with a left ventricular assist-ant device(LVAD).Methods The first draft of the Consensus was formed on the basis of literature review.2 rounds of expert consultations and a round of online meeting discussion were held for adjustments and modifications the draft of the Consensus.Results The recovery rate of the inquiry questionnaire was 93.75%.The authority coefficients of the 2 rounds of inquiry experts were 0.927 and 0.920.The concentration degree of expert opinions for each indicator was greater than 3.5 score,and the coefficient of variation was less than 0.25.The Kendall harmony coefficients for 2 rounds of correspondence were 0.402 and 0.407(P<0.01).The final Consensus formed through expert consultations and meetings includes 7 themes:hemodynamic monitoring,LVAD function monitoring,coagulation function monitoring,percutaneous cable and wound care,exercise rehabilitation care,health education and guidance,and pre-discharge assessment.Conclusion The Consensus is scientific,rigorous,and authoritative.The Consensus covers all aspects of postoperative care for patients with LVAD,and it will benefit to clinical practice.

ObjectiveTo investigate the effect of icariin （ICA）-mediated vitamin D system on peripheral blood dendritic cells （DCs） and helper T cells 17 （Th17）/regulatory T cells （Treg） balance in myocardial remodeling model of Dahl salt-sensitive rats. MethodFifty SPF Dahl salt-sensitive rats were divided into model group， vitamin D group （3×10^-5 mg·kg^-1·d^-1）， and high-， medium-， and low-dose ICA groups （120， 60， 30 mg·kg^-1·d^-1）， and 10 Dahl salt-resistant rats were used as normal group. The myocardial remodeling model was established by feeding rats with a high-salt diet containing 8% NaCl. After six weeks of modeling， the normal group and the model group were given an equal volume of ultrapure water by gavage， and other groups were continuously administrated for six weeks. Cardiac echocardiography， hematoxylin-eosin （HE） staining， and Masson staining were used to observe the pathological changes in cardiac structure and fibrosis. The levels of serum 25（OH）D₃， B-type N-terminal pro-brain natriuretic peptide （NT-ProBNP）， interleukin （IL）-17， transforming growth factor （TGF）-β₁， IL-12， and IL-10 were detected by enzyme-linked immunosorbent assay （ELISA）. The phenotype of peripheral blood DCs and the ratio of Th17/Treg cells of rats were detected by flow cytometry. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to detect the mRNA and protein expressions of vitamin D receptor （VDR），1α-hydroxylase （CYP27B1）， and 24-hydroxylase （CYP24A1） in peripheral blood DCs of rats. ResultCompared with the control group， the rats in the model group had pathological changes such as disordered arrangement of myocardial cells and cytoplasmic hypertrophy and swelling. Myocardial collagen fibers proliferated significantly， and the arrangement of myocardial fibers was disordered. The levels of serum 25（OH）D₃ and IL-10 were significantly decreased， and the levels of serum IL-17， TGF-β₁， IL-6， IL-12， and NT-ProBNP were significantly increased （P<0.05）. The costimulatory molecules CD40， CD80， CD86， and MHC-Ⅱ were highly expressed in the peripheral blood DCs， and the expression of CD11 and CD11b was lower （P<0.05）. The proportion of Th17 cells in the peripheral blood was significantly increased， and the proportion of Treg cells was decreased. The ratio of Th17/Treg was increased （P<0.05）. The mRNA and protein expressions of CYP24A1 in peripheral blood DCs increased， and the mRNA and protein expressions of CYP27B1 and VDR decreased （P<0.05）. Compared with the model group， the arrangement of myocardial fibers in each drug administration group was relatively regular， and the swelling of myocardial cells was significantly reduced. The pathological morphology of myocardial tissue was improved to varying degrees. The pathological changes in myocardial tissue were improved and alleviated to varying degrees. The drug could reduce the serum levels of NT-ProBNP， IL-17， TGF-β₁， IL-6， and IL-12 and increase the level of serum 25（OH）D₃ and IL-10 （P<0.05）. The expression of costimulatory molecules CD40， CD80， CD86， and MHC-Ⅱ in the peripheral blood DCs of rats was decreased， and the expression of CD11 and CD11b molecules was increased （P<0.05）. The drug could reduce the proportion of Th17 cells in peripheral blood and the ratio of Th17/Treg cells and increase the proportion of Treg cells （P<0.05）. It could decrease the mRNA and protein expressions of CYP24A1 in peripheral blood DCs of rats and elevate the mRNA and protein expression of VDR and CYP27B1 （P<0.05）. ConclusionICA can regulate the phenotype of peripheral blood DCs and the ratio of Th17/Treg cells by regulating the vitamin D system and play a role in improving myocardial remodeling from the perspective of immune balance.

ObjectiveTo investigate the impact of acute respiratory infections in children under 12 years old in Pudong New Area， Shanghai from 2019 to 2023. MethodsAcute respiratory infection samples of children under 12 years old from three sentinel hospitals in Pudong New Area， Shanghai from 2019 to 2023 were collected， and 42 respiratory infection pathogens， including influenza virus， adenovirus， parainfluenza virus， respiratory syncytial virus， human enterovirus/rhinovirus， human pulmonary virus， human bokavirus， coronavirus （229E， HKU1， NL63 and OC43）， and novel coronavirus， were detected with microfluidic chips. The situation of acute respiratory infections among outpatient and inpatient children in this area was analyzed for the before the implementation of non pharmacological intervention measures （2019.12‒2020.1）， during the period of non pharmacological intervention measures （2020.2‒2022.12）， and after non pharmacological intervention measures （2023.1‒2023.6）. ResultsFrom 2019 to 2023， a total of 1 770 samples were collected， and 445 pathogens were detected， with a detection rate of 25.14% （445/1 770）. The main pathogens detected during the study period were influenza virus： 8.70% （154/1 770）， respiratory syncytial virus： 4.41% （78/1 770）， human enterovirus/rhinovirus： 2.66% （47/1 770）， human adenovirus： 2.49% （44/1 770）， and parainfluenza virus： 2.20% （39/1 770）. Before the implementation of non pharmacological intervention measures， outpatients were primarily infected with influenza， parainfluenza virus， and respiratory syncytial virus， with detection rates of 8.09%， 4.49%， and 4.04%， respectively； inpatients were mainly infected with influenza， respiratory syncytial virus， and parainfluenza virus， with detection rates of 4.49%， 3.82%， and 3.15%， respectively. During the period of non pharmacological intervention measures， influenza， rhinovirus and respiratory syncytial virus were the main viruses detected in the samples of outpatient children， with detection rates of 4.04%， 3.60%， and 2.47%， respectively； inpatient samples mainly detected respiratory syncytial virus， rhinovirus， and influenza virus， with detection rates of 3.60%， 2.02%， and 1.80%， respectively. After non pharmacological intervention measures， influenza， rhinovirus and respiratory syncytial virus were the main pathogens detected in the outpatients， with detection rates of 9.89%， 2.92% and 2.02%， respectively； influenza， respiratory syncytial virus， and rhinovirus were the main pathogens detected in inpatient children， with detection rates of 6.29%， 1.57%， and 1.35%， respectively. ConclusionThe prevalence of pathogens related to acute respiratory infections in children is influenced by non pharmacological preventive measures.

Antibody-drug conjugates(ADCs), as an emerging therapy for cancer treatment, have made significant progress in the past few decades. However, due to the heterogeneity of ADCs, they still face various issues and challenges in clinical therapy. Therefore, site-specific conjugation techniques have become a crucial area of research in ADCs, and in recent years, this field has witnessed numerous breakthrough advancements, empowering ADCs with enhanced performance. The review provides a comprehensive overview of the frontiers in site-specific conjugation technologies for ADCs. Categorized into seven major classes including lysine-based, cysteine-based, low-abundance amino acid-based and glycosylation site-based conjugation techniques, ribosomal incorporation of unnatural and noncanonical amino acids and enzyme-mediated conjugation techniques, it meticulously describes 21 classical and emerging techniques such as the THIOMAB technology and linchpin-directed modification, in order to offer valuable insights for the development of next-generation ADCs.

Objective This study proposes a chairside digital design and manufacturing method for band and loop space maintainers and preliminarily validates its clinical feasibility.Methods Clinical cases of 10 children requiring space maintenance caused by premature loss of primary teeth were collected.Intraoral scan data of the affected children were also collected to establish digital models of the missing teeth.Using a pediatric band and loop space maintainer de-sign software developed by our research team,a rapid personalized design of band and loop structures was achieved,and a digital model of an integrated band and loop space maintainer was ultimately generated.A chairside space maintainer was manufactured through metal computer numerical control machining for the experimental group,whereas metal 3D printing in the dental laboratory was used for the control group.A model fitting assessment was conducted for the space maintainers of both groups,and senior pediatric dental experts were invited to evaluate the clinical feasibility of the space maintainers with regard to fit and stability using the visual analogue scale scoring system.Statistical analysis was also performed.Results The time spent in designing and manufacturing the 10 space maintainers of the experimental group was all less than 1 h.Statistical analysis of expert ratings showed that the experimental group outperformed the control group with regard to fit and stability.Both types of space maintainers met clinical requirements.Conclusion The chairside digital design and manufacturing method for pediatric band and loop space maintainers proposed in this study can achieve same-day fitting of space maintainers at the first appointment,demonstrating good clinical feasibility and significant potential for clinical application.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

Objective:To systematically review the risk prediction models for cognitive impairment in stroke patients, aiming to provide references for clinical healthcare professionals in selecting or constructing high-quality risk assessment tools.Methods:A computerized search was conducted in PubMed, Embase, Web of Science, OVID, Cochrane Library, SinoMed, CNKI, Wanfang Database, and VIP to identify studies related to risk prediction models for cognitive impairment in stroke patients. The search was limited to articles published up to August 1, 2023. Two researchers independently screened the literature, extracted data, and assessed the risk of bias and applicability of the included studies using PROBAST.Results:A total of 26 articles were included. The applicability of the studies was generally good, but all studies had some degree of bias risk, mainly arising from unreasonable study designs, inappropriate time intervals between predictor assessment and outcome determination, insufficient sample sizes, unreasonable handling of continuous variables, omission of missing data, lack of reporting of calibration, and overfitting of the models. Meta-analysis results showed that age ( OR=0.05, 95% CI: 0.033-0.057), education level ( OR=-0.13, 95% CI: -0.171 - -0.082), history of diabetes ( OR=2.32, 95% CI: 1.867-2.881), history of hypertension ( OR=0.67, 95% CI: 0.420-0.918), and NIHSS score ( OR=0.40, 95% CI: 0.331-0.469) were factors for cognitive impairment in stroke patients. Conclusions:While various risk prediction models for cognitive impairment in stroke patients exist, they suffer from methodological flaws and high bias risks, with some commonalities and controversies in predictors. Future research should adhere to the principles of transparent reporting of individual prognosis or diagnosis of multivariate prediction models, develop localized prediction models with low bias risk and good applicability, and conduct internal and external validations to demonstrate their applicability and feasibility in clinical practice.

Objective:To establish a prediction method of diopter based on sequence of ocular biological parameters.Methods:A stratified random cluster sampling method was used to extract the dataset. The dataset consisted of data collected from January 2022 to January 2023 by the Eye & ENT Hospital, Fudan University, from children aged 5 to 13 years in 2 key schools and 2 general schools of Yangpu District, Shanghai. Children’s ocular biological parameters, including sex, age, diopter, axial length, corneal curvature, and anterior chamber depth were collected. The slope of the optimally fitted straight line was calculated using the least squares method. The least square-back propagation (BP) neural network model was established by combining baseline data and the pre-processed rate of the change of ocular biological parameters. The dataset was divided into the training set and the validation set according to the ratio of 8:2 for five-fold cross-validation. The model performance was evaluated by using the mean absolute error (MAE), mean squared error (MSE), root mean square error (RMSE), correlation coefficient R, and coefficient of determination R2. Results:The optimal performances of R2, R, RMSE, MAE, and MSE of the least square-BP neural network model were 0.96, 0.981 9, 0.214 2, 0.139 9 D, 0.045 9, respectively. The regression equation between the predicted value and the true value of the diopter was y=0.97 x+ 0.014 8, R2=0.97, with good correlation. In the internal verification, MAE values of the diopter at three, six, nine, and twelve months of follow-up were 0.110 1, 0.136 0, 0.153 7, and 0.184 8 D, respectively, which achieved clinically acceptable performance (less than 0.25 D). In the external validation, the errors were less than 0.25 D at all ages. Conclusions:A prediction method of diopter based on sequence of ocular biological parameters was successfully developed.