ObjectiveTo systematically analyze the global policy framework, standard systems and application technology models of digital rehabilitation within the framework of the World Health Organization (WHO) Global Digital Health Strategy and propose policy recommendations for the future development of digital rehabilitation. MethodsBased on the policies on digital health and rehabilitation development issued by the WHO, focusing on the Global Digital Health Strategy, Rehabilitation 2030 Initiative, Rehabilitation in Health Systems, Rehabilitation in Health Systems: A Guide for Action, and World Report on Disability, a systematic review was conducted, to explore the policy architecture and core content of digital rehabilitation, the standard system for digitalizing rehabilitation, and key technological models for the development of digital rehabilitation. ResultsIn the context of global health and digital transformation, the development of digital rehabilitation services was an essential component of the global digital health strategy. Building a comprehensive policy framework and content system for digital rehabilitation was critical for strengthening rehabilitation data governance, enhancing data utilization efficiency, and ensuring data privacy and security. Empowering rehabilitation with digital technology was vital for improving the standardization, effectiveness, coverage, quality and safety of rehabilitation services. International digital rehabilitation policies primarily involved the following areas: policy and governance, digital standard systems, data privacy, security and ethics, digital talent cultivation and capacity building, and monitoring, evaluation and continuous improvement of digitally empowered rehabilitation services. The standard system for rehabilitation digitization covered the three major reference classifications of the WHO Family of International Classifications, including International Classification of Diseases Eleventh Revision (ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI), especially ICF. It also included international data interoperability standards, data security and privacy protection standards, data quality and certification standards, and health information standards, etc. The application technology models of digital rehabilitation primarily included data-driven service models, artificial intelligence -enabled models, and remote rehabilitation models combined with virtual reality, augmented reality technologies, and Internet of Things support. ConclusionThe establishment and implementation of comprehensive policies, standards and technological models for digital rehabilitation are crucial for driving the digital transformation and development of global rehabilitation services. Under the framework of the WHO Global Digital Health Strategy, it is necessary to build adaptive digital rehabilitation policy frameworks, and enhance digital governance capabilities and levels, establishing and improving digital rehabilitation standard systems, and promoting the interoperability and integration of rehabilitation data with other health big data. Meanwhile, it is essential to actively develop data-driven technological models for rehabilitation services to comprehensively improve the accessibility, availability, quality and safety of rehabilitation services.

Metastatic dissemination is the major cause of death from breast-cancer (BC). Fusobacterium nucleatum (F.n) is widely enriched in BC and has recently been identified as one of the high-risk factors for promoting BC metastasis. Here, with an experimental model, we demonstrated that intratumoral F.n induced BC aggressiveness by transcriptionally activating Epithelial-mesenchymal transition-associated genes. Therefore, the F.n may be a potential target to prevent metastasis. Given the fact that cancer-associated fibroblasts (CAFs) are abundant in BC and located near blood vessels, we report an optogenetic system that drives CAF to in situ produce human antibacterial peptide LL37, with the characteristics of biosafety and freely intercellular trafficking, for depleting intratumoral F.n, leading to a 72.1% reduction in lung metastatic nodules number without affecting the balance of the systemic flora. Notably, mild photothermal treatment was found that could normalize CAF, contributing to synergistically inhibiting BC metastasis. In addition, the system can also simultaneously encode a gene of TNF-related apoptosis-inducing ligand to suppress the primary tumor. Together, our study highlights the potential of local elimination of tumor pathogenic bacteria to prevent BC metastasis.

SWOT-PEST model was used to analyze the internal advantages and disadvantages,external,opportunities and challenges of tertiary public pediatric hospitals.Based on stakeholder theory,through the literature review method,policy analysis method,combined with the actual work,and summarize its main role and demands.Put forward the development strategy of three-level public pediatric specialty hospital.Through the analysis of interest demands of stakeholders of tertiary public pediat-ric specialty hospitals,the overall development is good at present,but there are still problems that need to be solved urgently.From the perspective of internal and external stakeholders,the optimization strategy involving multiple levels,multiple angles and multiple subjects is proposed to promote the comprehensive development of tertiary public pediatric specialty hospitals.

Objective To investigate the levels of serum pentametin 3(PTX3)and cytokine signal trans-duction inhibitor 3(SOCS3)in children with recurrent upper respiratory tract infections(rURTIs)and their diagnostic value.Methods A total of 132 children with rURTIs who were treated in the Huanghua People's Hospital from August 2020 to August 2023 were selected as the study group,and were divided into mild group(75 cases),moderate group(43 cases)and severe group(14 cases)according to clinical pulmonary infection score.A total of 130 healthy children who underwent physical examination in Huanghua People's Hospital were selected as the control group.Serum levels of PTX3,SOCS3,interleukin(IL)-6,tumor necrosis factor-α(TNF-α)and C-reactive protein(CRP)were determined by enzyme-linked immunosorbent assay.The serum PTX3 and SOCS3 levels and their correlation with IL-6,TNF-α and CRP levels in rURTIs children were anal-ysised by Pearson correlation.The factors affecting the occurrence of rURTIs were analyzed by multivariate Logistic regression,and the clinical value of serum PTX3 and SOCS3 levels in the diagnosis of rURTIs were analyzed by receiver operating characteristic(ROC)curve.Results Compared with the control group,the ser-um levels of PTX3,SOCS3,IL-6,TNF-α and CRP in the study group were increased(P＜0.05).The serum PTX3 and SOCS3 levels increased with the severity of rURTIs disease(P＜0.05).The serum PTX3 level in rURTIs children was positively correlated with SOCS3(r=0.642,P＜0.05),and the serum PTX3 and SOCS3 levels in rURTIs children were positively correlated with IL-6,TNF-α and CRP(P＜0.05).Serum PTX3,SOCS3,IL-6,TNF-α and CRP were the risk factors of rURTIs(P＜0.05).The area under the curve of the serum PTX3 and SOCS3 levels and the combined diagnosis of rURTIs were 0.833,0.833 and 0.914,re-spectively,which were significantly higher than those of the combined diagnosis(Zcombined-PTX3=2.607,Zcombined-SOCS3=2.679,P＜0.05).Conclusion Serum levels of PTX3 and SOCS3 were significantly increased in children with rURTIs,and they were positively correlated.The combination of PTX3 and SOCS3 could be used for early diagnosis of rURTIs.

ObjectiveTo analyze the risk factors of dementia among healthy elderly individuals in the middle of their lives. MethodsA total of 175 participants aged 55 to 75 from two communities in Beijing were included from July, 2021 to April, 2023. Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) related risk factors and other demographic data were collected. According to the CAIDE assessment, participants with scores ≥ 9 were as high-risk group, and those with scores < 9 were as low-risk group. They were evaluated with Stroop Color Word Test (SCWT), two elements 1-back task paradigm and the revised Trail Making Test (TMT); measured the grip strength, 30 s forearm flexion tests and five sit-to-stand tests; the average step speed and step length of a 10-meter walk were recorded. ResultsThe average total score of CAIDE was 9.86 in the high-risk group, and was 4.95 in the low-risk group. There was no difference in age between two groups (P = 0.188). There were differences in the proportion of participants of male, less than seven years' education, systolic blood pressure > 140 mmHg, cholesterol > 6.5 mmol/L, body mass index > 30 kg/m², and lack of physical activity between two groups (χ² > 3.116, P < 0.05). The grip strength (t = -4.174), walking speed (t = -2.414), SCWT accuracy (Z = -2.684) were all worse in the high-risk group than in the low-risk group (P < 0.05). Logistic regression analysis showed that walking speed (OR = 25.483), grip strength (OR = 1.133) and SCWT accuracy (OR = 37.430) were independent influencing factors of dementia (P < 0.05). ConclusionWeaker grip strength, slower gait speed and worse inhibitory control might be independent influencing factors of dementia.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

Background: SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood. Methods: We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival. Results: Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity. Conclusions The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.

Objective:To preliminarily investigate the applicability of a poliovirus pseudovirus-based neutralization assay in evaluating the immunogenicity of recombinant poliovirus vaccines and their in vivo potency in rats. Methods:Serum samples from rats immunized with recombinant poliovirus vaccines were tested using both the pseudovirus neutralization assay and the live-virus neutralization assay with Sabin strain. The consistency and correlation of the two methods were analyzed using the Kappa test and Spearman′s rank correlation.Results:For the neutralizing antibodies against typeⅠ, Ⅱ, and Ⅲ polioviruses, the Kappa values for consistency analysis of the two methods were 0.914, 1.000, and 0.751, respectively ( P<0.001), and the correlation coefficients ( R values) were 0.833, 0.927, and 0.859, respectively ( P<0.001). Conclusions:The test results of the two methods are consistent and show a good correlation, indicating that the pseudovirus neutralization assay can be applied to evaluating the immunogenicity of poliovirus vaccines and also can be used in rat potency tests.

Background: SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood. Methods: We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival. Results: Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity. Conclusions The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.

Background: SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood. Methods: We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival. Results: Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity. Conclusions The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.