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.

Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

To understand the progress of, summarize experiences from, and analyze problems in the national schistosomiasis elimination programme, this article presented the national schistosomiasis epidemiology and surveillance in the People’s Republic of China in 2025. By the end of 2025, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region maintained the achievement of schistosomiasis elimination, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi remained at the criteria of schistosomiasis transmission interruption. In 2025, there were 450 counties (cities, districts), 3 203 townships and 26 029 villages endemic for schistosomiasis in China, with a total population of 73.598 million in endemic villages. Among the 450 endemic counties (cities, districts), 421 (93.56%) achieved the criteria of schistosomiasis elimination and 29 (6.44%) reached the criteria of transmission interruption. In 2025, a total of 3 630 874 residents received immunological tests for schistosomiasis across endemic areas in China, with 31 588 seropositives identified (seroprevalence, 0.87%), and a total of 154 293 individuals received parasitological examinations, with 5 egg-positives detected. A total of 26 688 advanced schistosomiasis cases were recorded in China by the end of 2025. Of 529 683 bovines raised in schistosomiasis-endemic villages in China in 2025, 101 637 bovines received immunological tests for schistosomiasis, with 183 seropositives detected (seroprevalence, 0.18%), and 165 654 bovines received parasitological examinations, with no egg-positives identified. In 2025, Oncomelania hupensis snail survey was performed covering an area of 667 524.82 hm² in China, and 176 378.64 hm² O. hupensis snail habitats were identified, including 123.77 hm² emerging O. hupensis snail habitats and 953.71 hm² re-emerging O. hupensis snail habitats. A total of 19 283 schistosomiasis cases received chemotherapy with praziquantel in China in 2025, and 477 450 person-times and 304 279 herd-times received expanded chemotherapy, respectively. In addition, O. hupensis snail control with chemical treatment covered 116 475.10 hm² snail habitats across China in 2025, with an actual area with chemical control covering 68 510.93 hm² and an area with environmental improvements covering 1 101.84 hm². The national schistosomiasis surveillance results indicated that the mean prevalence of Schistosoma japonicum infections was both 0 among humans and bovines in 2025, and no S. japonicum infection was detected in O. hupensis snails. These data showed that the prevalence of schistosomiasis remained low in China in 2025; however, the area of O. hupensis snail habitats stayed high, with an increase in emerging and reemerging O. hupensis snail habitats. It is recommended to improve the surveillance and forecast mechanism for schistosomiasis and precisely implement the O. hupensis snail control programme in high-risk areas.

Objective: To investigate the health literacy level and its influencing factors among the elderly in Shunyi District, Beijing Municipality, so as to provide the evidence for developing health literacy intervention measures and improving the elderly's health literacy level. Methods: From September to November 2024, permanent residents aged ≥60 years in Shunyi District were selected by a multi-stage random sampling method combined with probability proportionate to size sampling method. The Chinese Elderly Health Literacy Questionnaire was used to conduct face-to-face surveys on basic information, health status, and health literacy. The health literacy level of the elderly was analyzed. Multivariable logistic regression model and decision tree model were used to analyze the influencing factors for health literacy level of the elderly. Results: There were 285 males (47.50%) and 315 females (52.50%). The mean age was (68.91±7.38) years. The health literacy level of the elderly was 14.33%. The literacy levels of basic concepts, basic knowledge, and basic skills were 43.33%, 5.33%, and 50.83%, respectively. The literacy levels of scientific aging concept, intrinsic capacity and geriatric syndromes, healthy lifestyle, information acquisition and self-care, health service utilization and chronic disease management, and safety and first aid were 52.33%, 7.17%, 51.83%, 58.83%, 72.00%, and 4.33%, respectively. Multivariable logistic regression analysis showed that educational level (high school/technical secondary school/technical school and above, OR=2.376, 95%CI: 1.020-5.532), monthly household income per capita (1 000-<3 500 yuan, OR=2.973, 95%CI: 1.349-6.555), residence (urban, OR=3.836, 95%CI: 2.071-7.105), and health attention (relatively concerned, OR=4.164, 95%CI: 1.779-9.742) were influencing factors for health literacy level of the elderly. Decision tree model results showed that educational level, monthly household income per capita, residence, and health attention were influencing factors for health literacy level of the elderly, with residence being the main influencing factor. Elderly people living in urban areas, relatively concerned about health, and with high school/technical secondary school/technical school and above educational level had higher health literacy level (40.00%). Conclusions The health literacy level of the elderly in Shunyi District is mainly affected by educational level, monthly household income per capita, residence, and health attention. It is recommended to focus on rural elderly with lower educational level, monthly household income per capita, and health attention.

Objective To explore the current situation of medication safety behavior of elderly cancer patients and the path relationship of various influencing factors for improving medication safety behavior.Methods A total of 340 elderly cancer patients were investigated by a demographic questionnaire,the Medication Safety Behavior Scale,the Medication Literacy Scale,the Family Care Index Questionnaire,and the Chinese version of the Empowerment Scale for Cancer Patients from August to December 2024.The multiple linear regression analysis was applied to analyze influencing factors,and data were analyzed using SmartPLS 4.0 to construct a partial least squares structural equation model with path analysis.Results A total of 307 valid questionnaires were collected.The mean medication safety behavior score was 31.89±5.38.Residential area,drug literacy,family care,and health empowerment are factors that affect medication safety in elderly cancer patients,accounting for 37.3％of the total variation.The path analysis results indicated that health empowerment(β=0.480),medication literacy(β=0.154),and family care(β=0.227)positively correlate with medication safety behavior.Health empowerment played a partial mediating role between family care and medication safety behavior,as well as between medication literacy and medication safety behavior.The mediating effects are 0.125 and 0.332(P＜0.001),accounting for 35.51％and 68.31％of the total effect,respectively.Conclusion Medication safety behaviors among elderly cancer patients are at a median level and influenced by multiple factors.By improving their levels of health empowerment,healthcare professionals can motivate patients to take an active role in medication safety management.Further,promoting education on medication knowledge and teaching relevant medical skills,and together with guiding patients to perceive family care and support,can collectively improve their overall medication safety behaviors.

Objective To investigate the relationship between the expression of serum long non coding RNA nuclear-enriched abundant transcript 1(lncRNA NEAT1)and microRNA-106a-5p(miR-106a-5p)and the severity and prognosis of sepsis patients.Methods A total of 185 patients with sepsis who were diagnosed and treated in this hospital from August 2021 to July 2024 were selected as the study group,and another 215 healthy volunteers who underwent physical examinations in this hospital during the same period were selected as the control group.The research group was divided into the mild group(n=92),the severe group(n=58)and the shock group(n=35)according to the severity of the disease.The research group was divided into the good prognosis group(n=121)and the poor prognosis group(n=64)according to the prognosis.The expres-sions of lncRNA NEAT1 and miR-106a-5p were detected by real-time fluorescence quantitative polymerase chain reaction,and the correlation of the expressions of lncRNA NEAT1 and miR-106a-5p in the study group was analyzed by Pearson correlation analysis.The binding sites of lncRNA NEAT1 and miR-106a-5p were an-alyzed by StarBase,and the influencing factors of poor prognosis in patients were analyzed by multivariate Lo-gistic regression.The receiver operating characteristic curve was used to analyze the diagnostic value of the combination of lncRNA NEAT1 and miR-106a-5p for poor prognosis in patients.Results The expression of lncRNA NEAT1 in the study group was higher than that in the control group,and the expression of miR-106a-5p was lower than that in the control group,the difference was statistically significant(P＜0.05).The expressions of lncRNA NEAT1 and miR-106a-5p in the study group were negatively correlated(r=-0.413,P＜0.001),and there were binding sites between the two.With the increase of the severity of sepsis,the ex-pression of lncRNA NEAT1 increased and the expression of miR-106a-5p decreased,and the difference was statistically significant(P＜0.05).The acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,sequential organ failure assessment(SOFA)score,tumor necrosis factor-α,C-reactive protein,and ln-cRNA NEAT1 in the poor prognosis group were higher than those in the good prognosis group,while the ex-pression of miR-106a-5p was lower than that in the good prognosis group,the difference was statistically sig-nificant(P＜0.05).Elevated APACHE Ⅱ score,SOFA score and lncRNA NEAT1 were independent risk fac-tors for poor prognosis in patients,and miR-106a-5p was an independent protective factor(P＜0.05).The ar-ea under the curve of the combined diagnosis of the two was 0.918(95％CI:0.868-0.953),which was supe-rior to the separate diagnosis of each(Zcombined with lncRNA NEAT1=4.112,Zcombined with miR-106a-5p=4.023,P＜0.05).Con-clusion With the increase of disease severity in patients with sepsis,the expression of lncRNA NEAT1 in-creases and the expression of miR-106a-5p decreases.The combined diagnosis of the two for poor prognosis in patients has a high clinical value.

Objective:To investigate effect and mechanism of hydroxysafflor yellow A(HSYA)activating neuronal autophagy on cerebral ischemia-reperfusion injury through a combination of in vitro and in vivo experiments.Methods:SD rat MCAO/R model was established by improved suture method.Rats were randomly divided into sham surgery(Sham)group,MCAO/R group and MCAO/R+HSYA group,following indicators were detected to determine extent of cerebral ischemia-reperfusion nerve damage:Z-Longa neu-rological function score was detected,TTC staining to measure cerebral infarction area,and TUNEL staining to measure cell apopto-sis;Western blot was used to detect protein expressions of autophagy related markers LC3,Beclin1,P62 and SIRT1 in rat brain tis-sue;immunofluorescence staining was used to observe expression of LC3 co-localization with neurons.OGD/R injury model of SH-SY5Y cells was established and randomly divided into Normal group,OGD/R group,OGD/R+HSYA group,OGD/R+SIRT1 inhibitor(EX-527)group and OGD/R+EX-527+HSYA group.Western blot was used to detect protein expressions of LC3,Beclin1,P62 and SIRT1.Results:Compared with Sham group,model group rats showed impaired neurological function,significantly increased neu-robehavioral scores,widespread cerebral infarction,significantly increased neuronal cell apoptosis,significantly increased autophagy related protein Beclin1 expression and LC3-Ⅱ/LC3-Ⅰ,significantly decreased P62 expression,significantly increased LC3/NeuN co-stained cells,and decreased SIRT1 expression;compared with model group,HSYA intervention group showed a significant decrease in neurological functional scores,a significant reduction in cerebral infarction area,a significant decrease in neuronal cell apoptosis,a further increase in Beclin1 expression and LC3-Ⅱ/LC3-Ⅰ,a further decrease in P62 expression,number of LC3/NeuN and P62/NeuN co-stained cells also increased,and SIRT1 expression significantly increased.Expression trends of Beclin1,LC3-Ⅱ/LC3-Ⅰ,P62 and SIRT1 of cells between normal group,model group and HSYA intervention group were same as animal experiment;compared with model group,expressions of SIRT1,Beclin1 and LC3-Ⅱ/LC3-Ⅰ in OGD/R+EX-527 group were significantly reduced,while expression of P62 was significantly increased;compared with OGD/R+EX-527 group,there was no significant change in SIRT1 expression in OGD/R+EX-527+HSYA group,LC3-Ⅱ/LC3-Ⅰ and Beclin1 expression were significantly increased,and P62 expres-sion was significantly decreased.Conclusion:HSYA can significantly improve neurological deficits in rats after cerebral ischemia-reperfusion,reduce cerebral infarction area,and decrease neuronal cell apoptosis rate,whose neuroprotective effect may be related to its activation of SIRT1,which significantly enhances neuronal autophagy.