Allergic conjunctivitis is a common ocular inflammatory disease, with intense itching being the most typical and distressing symptom for patients. In recent years, with the in-depth study of the interaction between the nervous and immune systems, significant progress has been made in understanding the mechanism of itching in allergic conjunctivitis. This review elaborates on the neurobiological basis of itching in allergic conjunctivitis, with a focus on the complex dialogue between immune cells and sensory neurons, particularly the core role of the IL-33-ST2-CGRP signaling axis in mediating itching. Additionally, this article introduces new findings in genetic susceptibility research, including the identification of susceptibility genes for allergic conjunctivitis through transcriptome-wide association studies. The sensory nervous system not only transmits itch signals but also actively participates in the formation of antigen channels related to conjunctival goblet cells, thereby regulating the local uptake of allergens and the initiation of the immune response. Moreover, targeted novel therapeutic strategies offer hope for patients with refractory allergic conjunctivitis. Exploring the molecular and cellular mechanisms of itching in allergic conjunctivitis will provide a theoretical basis for the development of more effective treatment methods.

Skeletal muscle atrophy refers to a pathological condition characterized by muscle fiber atrophy as well as decreased muscle mass and muscle strength induced by various predisposing factors. It falls under the category of “flaccidity syndrome” in traditional Chinese medicine， and its pathogenesis is mainly associated with disturbed protein homeostasis， mitochondrial dysfunction and oxidative stress injury. Active ingredients of traditional Chinese medicine exerts synergistic regulatory effects via multiple pathways， thus possessing unique advantages in the clinical prevention and treatment of skeletal muscle atrophy. This paper reviews the mechanisms by which active ingredients of traditional Chinese medicine alleviate skeletal muscle atrophy. Existing studies have demonstrated that such active ingredients can ameliorate skeletal muscle atrophy through multiple approaches： regulating protein metabolic balance （geniposide， matrine， schisandrin A， etc.） and oxidative stress （astragaloside Ⅳ， Gastrodia elata polysaccharide， Angelica sinensis polysaccharide， etc.）， improving mitochondrial function （parthenolide， berberine， curcumin， etc.）， facilitating myogenesis and myogenic differentiation （cucurbitacin Ⅱb， saikosaponin A， saikosaponin D， etc.）， suppressing inflammatory response （ursolic acid， triptolide， emodin， etc.）， ameliorating insulin resistance （akebiasaponin D， etc.）. In the future， active ingredients of traditional Chinese medicine are expected to achieve breakthroughs in clinical treatment for skeletal muscle atrophy， providing novel ideas and strategies for the prevention and treatment of degenerative disorders.

This report presented the first imported case of alveolar echinococcosis in Tianzhu Tibetan Autonomous County, Gansu Province. The patient was a local resident who had worked in Hotan Prefecture, Xinjiang Uygur Autonomous Region from 2019 to 2023, an area co-endemic for cystic and alveolar echinococcosis. He presented with hepatic discomfort in June 2023. Imaging examinations revealed an 8 cm × 6 cm mass in the left liver lobe, and serological testing showed positive IgG antibodies against Echinococcus. Post-surgical pathology confirmed the diagnosis of alveolar echinococcosis. Given that Tianzhu County has historically been endemic only for cystic echinococcosis and has not reported local cases of alveolar echinococcosis, this case was identified as an imported case based on epidemiological history. The case underwent left lateral hepatic lobectomy and no recurrence was seen at 2-year follow-up post-surgery. It is recommended to enhance the identification of different types of echinococcosis among clinicians, improve health education among migrant laborers, reinforce active screening among returning labors, and advance a One Health concept-based, cross-regional “human-animal-environment” joint prevention and control mechanism to prevent the risk of imported echinococcosis.

BACKGROUND: Treatment with chimeric antigen receptor-T (CAR-T) cells has shown promising effectiveness in patients with relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-ALL), although the process of preparing for this therapy usually takes a long time. We have recently created CD19 Fast-CAR-T (F-CAR-T) cells, which can be produced within a single day. The objective of this study was to evaluate and contrast the effectiveness and safety of CD19 F-CAR-T cells with those of CD19 conventional CAR-T cells in the management of R/R B-ALL. METHODS: A multicenter, retrospective analysis of the clinical data of 44 patients with R/R B-ALL was conducted. Overall, 23 patients were administered with innovative CD19 F-CAR-T cells (F-CAR-T group), whereas 21 patients were given CD19 conventional CAR-T cells (C-CAR-T group). We compared the rates of complete remission (CR), minimal residual disease (MRD)-negative CR, leukemia-free survival (LFS), overall survival (OS), and the incidence of cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) between the two groups. RESULTS: Compared with the C-CAR-T group, the F-CAR-T group had significantly higher CR and MRD-negative rates (95.7% and 91.3%, respectively; 71.4% and 66.7%, respectively; P = 0.036 and P = 0.044). No significant differences were observed in the 1-year or 2-year LFS or OS rates between the two groups: the 1-year and 2-year LFS for the F-CAR-T group vs.C-CAR-T group were 47.8% and 43.5% vs. 38.1% and 23.8% (P = 0.384 and P = 0.216), while the 1-year and 2-year OS rates were 65.2% and 56.5% vs. 52.4% and 47.6% (P = 0.395 and P = 0.540). Additionally, among CR patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) following CAR-T-cell therapy, there were no significant differences in the 1-year or 2-year LFS or OS rates: 57.1% and 50.0% vs. 47.8% and 34.8% (P = 0.506 and P = 0.356), 64.3% and 57.1% vs. 65.2% and 56.5% (P = 0.985 and P = 0.883), respectively. The incidence of CRS was greater in the F-CAR-T group (91.3%) than in the C-CAR-T group (66.7%) (P = 0.044). The incidence of ICANS was also greater in the F-CAR-T group (30.4%) than in the C-CAR-T group (9.5%) (P = 0.085), but no treatment-related deaths occurred in the two groups. CONCLUSION Compared with C-CAR-T-cell therapy, F-CAR-T-cell therapy has a superior remission rate but also leads to a tolerably increased incidence of CRS/ICANS. Further research is needed to explore the function of allo-HSCT as an intermediary therapy after CAR-T-cell therapy.

Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

Objective:To screen broadly neutralizing antibodies in human immunodeficiency virus-1（HIV-1）chronically infected individuals and characterize their molecular features and to provide new strategies for rational vaccine development and antibody-based therapeutics.Methods:A total of 34 treatment-na?ve individuals with chronic HIV-1 infection were enrolled. Plasma antibody binding levels were measured against two HIV-1 envelope proteins. Single antigen-specific memory B cells were sorted from high-binding samples，and antibody variable region genes were amplified by PCR for paired expression. The monoclonal antibodies were evaluated for neutralizing activity using pseudovirus assays，and their structural features were analyzed by integrating AlphaFold 3 prediction with Discovery Studio molecular docking.Results:Plasma samples showed strong binding to DU422-GP140 and BG505-GP140. Eight monoclonal antibodies were isolated from two donors. Among them，antibodies 0919-A4，0919-A9 and 0808-A2 could cross-react with GP140 from HIV-1 subtypes AE，BC and B. The monoclonal antibody 0919-A9 demonstrated potent neutralizing activity against SF162（Tier 1）and CH181（Tier 2）pseudoviruses，with somatic hypermutation rates of 13.27%（heavy chain）and 15.58%（light chain）. Structural modeling revealed its specific targeting of the V1V2 region on GP120.Conclusion:The isolated antibody 0919-A9 effectively neutralizes Tier 2 pseudoviruses. Its high somatic mutation frequency and V1V2-targeting property underlie its neutralizing activity，providing both a promising candidate and mechanistic insights for HIV vaccine development and antibody-based therapeutic strategies.

A total of 269 non-diabetic chronic kidney disease (CKD) patients were enrolled in this study. Among them, 175 patients (65.1%) were assigned to the control group and received conventional therapy with maximally tolerated doses of renin-angiotensin-aldosterone system inhibitors, while 94 patients (34.9%) were assigned to the dapagliflozin group and received oral dapagliflozin 10 mg/day in addition to the conventional therapy. The results showed that the urine protein quantity in the dapagliflozin group was lower than those in the control group at 3, 6, 12, 18, and 24 months of follow-up (all P<0.05), and the blood albumin level was higher than those in the control group at 18 and 24 months of follow-up (all P<0.05). The Kaplan-Meier survival curve analysis results showed that the cumulative renal survival rate of the dapagliflozin group was significantly higher than that of the control group (Log-rank test, χ2=5.078, P=0.024). Multivariable Cox regression analysis results revealed that using dapagliflozin was independently associated with a reduced risk of the composite endpoint in non-diabetic CKD patients ( HR=0.400, 95% CI 0.163-0.983, P=0.046). There was no statistical difference in adverse reactions between the two groups (all P>0.05). It is indicated that dapagliflozin has a renal protective effect independent of hypoglycemic action and good safety.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

Objective:To build a big data analysis model of comprehensive performance of medical equipment,so as to improve the management efficiency and fine management level for medical equipment of hospital.Methods:The big data analysis model of comprehensive performances of medical equipment was developed through building a data integration platform,and integrating multi-business system data of hospital,and including quantified social benefit data and relative data of the process of procurement and maintenance,which established index system of performance analysis with multi-dimensions and multi-layers.It realized the presentation of evaluation results of performance of medical equipment in the form of visual data reports.Results:The big data analysis model for the comprehensive performance of medical equipment has set a system with more than 10 indicators,which included social-benefit indicators,evaluation indicators of comprehensive performance,income indicators,and the indicator of recovery period of investment,and visual report with 35 pages.Each layer of the performance of equipment was analyzed from 35 angles,which realized a comprehensive,multi-dimensional and refined evaluation for the performance of medical equipment of hospital.Its'agile,easy-to-use,efficient response and automation features can significantly improve work efficiency of business.The model realized automatic data collection through interfaces and other means,and reduced manual input errors,which data accuracy rate was＞99%.The results of testing the performance data of equipment for three consecutive years by using this model indicated that the consuming time of single calculation of business system of hospital was shortened from＞20 min to 5-8 s.Conclusion:The big data analysis model of comprehensive performance of medical equipment can help hospital to identify,prevent and control risks in advance,and improve the efficiency of internal control,and enhance management efficiency and fine management level for hospital,and provide support for management decision for medical equipment of hospital.