OBJECTIVE To analyze the efficacy and safety of luspatercept in the treatment of myelodysplastic syndromes （MDS） anemia， and provide reference for clinical medication. METHODS The literature related to luspatercept for MDS anemia in PubMed， Cochrane Library， Embase and Web of Science were searched by computer， and the search time was from the establishment of the database to January 2024. The quality of literature was evaluated after they were screened according to inclusion and exclusion criteria， the single-group rate meta-analysis and sensitivity analysis were performed by using RevMan 5.4 software， and the subgroup analysis was conducted. RESULTS A total of 756 patients in 9 articles were included in this study. The results of meta-analysis showed that the proportion of MDS patients who reached ≥8 weeks of red blood cell transfusion independence （RBC-TI） was 46% after using luspatercept [95%CI （0.28， 0.64）， P＜0.000 01]. The proportion of MDS patients whose hematological improvement in erythrocyte （HI-E） was 59% [95%CI （0.43， 0.74）， P＜0.000 01]. Among them， 5 articles reported that the proportion of MDS patients with grade 3-4 adverse reactions was 14% [95%CI （0.07， 0.22）， P＝0.000 2]， and the poor general condition， infection， blood and lymphatic system disease were the common adverse reactions. Subgroup analysis showed that the source of heterogeneity was the blood transfusion burden in the proportion of MDS patients with RBC-TI≥8 weeks， and the source of heterogeneity was the 0931-8356251。revised international prognostic scoring system （IPSS-R） risk grade， SF3B1 mutation status and blood transfusion burden in the proportion of MDS patients with HI-E. Sensitivity analysis showed that the results of this study were stable. CONCLUSIONS Luspatercept can significantly improve blood transfusion dependence， reduce blood transfusion burden and promote hematology improvement in MDS patients. But attention should be paid to the occurrence of grade 3-4 adverse events； adverse events such as poor general condition， infection， blood and lymphatic system diseases are more common.

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

The iridoid glycosides from Veronica anagallis-aquatica L. alleviate heart failure by modulating the gut microbiota and influencing the production of two metabolites with potential antihypertrophic effects, HVA and 2OH-VA.Image 1.

Objective To observe the clinical efficacy of compound Wufengcao liquid combined with negative pressure wound therapy with instillation(NPWTi)for the treatment of stage Ⅲ-Ⅳ pressure injury(PI),and to preliminarily explore its action mechanism.Methods(1)Clinical research:from January 2019 to October 2022,60 PI patients who were admitted to the Scrofula Department and Wound Care Clinic at Nanjing Municipal Hospital of Traditional Chinese and Western Medicine were randomly divided into normal saline NPWTi group and compound Wufengcao liquid NPWTi group,with 30 cases in each group.Both groups underwent NPWTi under the premise of systemic basic treatment,before treatment,after removing the negative pressure device in the 1st,2nd and 3rd weeks of treatment,the pressure ulcer scale for healing(PUSH)score,the wound bacterial culture detection rate and the wound healing time were counted,and the vascular endothelial growth factor(VEGF)content of wound tissue was detected by ELISA method.(2)Animal experiments:24 SD rats were randomly divided into blank group,model group,normal saline NPWTi group and compound Wufengcao liquid NPWTi group,6 rats in each group.PI rat model was established by local tissue ischemia/reperfusion injury method,and the negative pressure device was removed at the end of each day of treatment.Before treatment and 3,7 and 10 days after treatment,the wound morphology of each group of rats was observed,the wound histopathology was observed by HE staining,the CD34 positive cells rate of wound tissue was detected by immunohistochemistry,and the expressions of p38 mitogen-activated protein kinase(p38 MAPK),nuclear factor-κB p65(NF-κB p65),inducible nitric oxide synthase(iNOS),tumor necrosis factor-α(TNF-α),arginase-1(Arg-1)and transforming growth factor-β(TGF-β)in rat blood and wound tissue were detected by ELISA and RT-qPCR.Results(1)Clinical research:Both groups could effectively reduce the PUSH score and the wound bacterial culture detection rate,shorten the wound healing time,and promote the expression of VEGF in wound tissue,the compound Wufengcao liquid NPWTi group was better than the normal saline NPWTi group(P<0.05).(2)Animal experiments:Compared with blank group,the rats in the model group showed obvious wound inflammatory response and tissue damage,and the CD34 positive cells rate,blood and wound tissue p38 MAPK,NF-κB p65,iNOS and TNF-α levels were significantly increased,Arg-1 and TGF-β level was significantly reduced(P<0.05);Compared with model group,after 7 days of treatment,the normal saline NPWTi group and the compound Wufengcao liquid NPWTi group significantly decreased the wound morphology score,the histopathological morphology was significantly improved,the CD34 positive cells rate was significantly increased(P<0.05),the levels of blood and wound tissue p38 MAPK,NF-κB p65,iNOS,and TNF-α were significantly reduced,and the levels of Arg-1 and TGF-β were significantly increased(P<0.05),and the compound Wufengcao liquid NPWTi group was better than that of the normal saline NPWTi group(P<0.05).Conclusion Compound Wufengcao liquid combined with NPWTi can effectively promote the healing of PI wounds,and its mechanism of action may be by inhibiting the activation and expression of p38 MAPK/NF-κB signaling pathway,thereby regulating the polarization balance of M1/M2 macrophages.

Objective To investigate the rate of germline variants in patients with pancreatic cancer and clinical characteristics related with germline variants.Methods A total of 271 patients diagnosed with pancreatic cancer were enrolled in this study.Germline variants of 21 tumor susceptibility genes were detected by next-generation sequencing,and the relationship between germline variants and clinical factors such as age of onset,family history and personal history was analyzed.Results The rate of germline P/LP variants was 6.3%in unselected pancreatic cancer patients,but was high as 17.1%in genetic high-risk group patients(those with a family or personal history of cancer,or early-onset).Genes with higher frequency of germline variants in pancreatic cancer patients were PALB2,BRCA2,and ATM.Conclusion The rate of germline variants in overall pancreatic cancer patients is not high,but it increases significantly in genetic high-risk group,proving the importance of clinical factors in the screening of hereditary pancreatic cancer.

Objective: To analyze the correlation between refractive errors and physical development indicators among primary school students aged 6 to 9, so as to provide a scientific basis for the development of effective prevention and control measures. Methods: A stratified cluster random sampling method was used to recruit 2 833 elementary school students aged 6 to 9 from Guangdong Province for vision screening, ocular biometry, and physical examinations in Octorber, 2020. The Chi square test, t-test, and ANOVA were employed to compare myopia rates and indicator values across different groups. Multiple linear regression models were used to analyze the correlations between height, weight, and body mass index (BMI) with refractive development indicators. Results: The screening myopia rate among primary school students aged 6 to 9 was 16.7%, and the myopia rate increased with age ( χ 2= 51.58 , P <0.01). The height and weight of the myopic group [(126.96±7.41)cm, (26.59±6.45)kg] were higher than those of the non myopic group [(124.76±7.77)cm, (25.42±5.87)kg] ( t =5.84, 3.65, P <0.01). The mean values of spherical equivalent (SE), axial length (AL), anterior chamber depth (ACD), and AL/corneal curvature radius (CR) ratio for students aged 6 to 9 were (-0.17±1.04)D, (22.96±0.78)mm, (3.38±0.24)mm, and (2.95±0.08), respectively, with statistically significant differences across different age and myopia severity groups ( t =37.08, 119.20, 41.54, 133.60; 935.30, 184.10, 73.95, 498.50, P < 0.01). After adjusting for gender, age, and residence, the multiple linear regression model showed that height was positively correlated with AL and CR, weight was positively correlated with ACD, and BMI was positively correlated with AL and ACD ( β = 0.191 , 0.070, 0.035, 0.013, 0.007, P <0.05). When stratified by myopia status, results for the non-myopic group were similar to the overall results, whereas in the myopic group, the correlations between height, BMI, and AL were not statistically significant ( P > 0.05). Conclusions Among primary school students aged 6 to 9, height and BMI are positively correlated with AL in the non myopic group but no similar correlation is observed in the myopic group, indicating that factors other than physical development, such as environmental and behavioral factors, should be considered for their impact on refractive development.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

Objective:To analyze the spatial-temporal distribution of etiologically positive pulmonary tuberculosis (PTB) at the county (city, district) unit in Jiangsu Province from 2011 to 2021 to provide evidence for the implementation and adjustment of prevention and control strategies of PTB in Jiangsu Province.Methods:The registration data of etiologically positive PTB patients in Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System in the China Information System of Disease Control and Prevention. Data on the permanent population were from the statistical yearbook of each county (city, district) in Jiangsu Province. Geoda 1.18.0 software was used to analyze the global and local spatial autocorrelation and explore the spatial clustering. SaTScan 10.1 software was used to analyze the spatial-temporal clusters, and ArcGIS 10.7 software was used to visualize the spatial-temporal clusters.Results:A total of 128 240 etiological positive PTB cases were registered in Jiangsu Province from 2011 to 2021, with an average annual registration rate of 13.99/100 000. The registration rate showed an overall upward trend (trend χ2=63.49, P<0.001) after 2017, and the etiologically positive rate showed an overall upward trend (trend χ2=3 710.86, P<0.001). The annual Moran's I values ranged from 0.107 to 0.343, which showed a spatial clustering distribution. The results of local spatial autocorrelation analysis showed that there were "high-high" clustering areas in Jiangsu Province each year, showing a dynamic distribution, and most of the areas were distributed in the central and southern regions of Jiangsu Province, with the largest number (7) in 2015 and the smallest number (1) in 2011. A total of 4 spatial-temporal clustering areas were explored by spatial-temporal scanning analysis (all P<0.001), among which the first-level clustering area covered 3 counties (cities, districts), namely Changshu, Taicang, and Xiangcheng District of Suzhou, and the clustering time was from 2011 to 2015. The secondary clustering areas covered 24 counties (cities, districts), mainly covering Jiangsu's central and northern regions, such as Huai'an, Suqian, and Yancheng. The third-level clustering areas covered 26 counties (cities, districts); the fourth-level clustering area was the Gaochun District of Nanjing, with the clustering period from 2017 to 2021. Conclusions:From 2011 to 2021, the etiologically positive PTB registration rate at the county (city, district) level in Jiangsu Province had obvious spatial-temporal clustering characteristics. The clustering areas included the northern areas with relatively backward economies and the southern areas with better economic development. Multiple measures should be taken to prevent and control PTB according to the specific situation in different regions.

CD200 and its receptor CD200R constitute an endogenous inhibitory signal. The binding of CD200 and CD200R can regulate the immune response to pathogenic stimuli, which has received much attention in recent years. It has been found that CD200-CD200R is involved in the regulation of many kinds of pathological inflammation, including autoimmune diseases, cardiac cerebrovascular disease, infection and tumor. This paper reviews the protein structure, distribution, expression, biological function of CD200-CD200R and the correlation with diseases, and analyses the current status and development ideas of CD200-CD200R as drug targets. It aims to provide theoretical support for new drug research and development based on this target.