Objective: To analyze the epidemiological characteristics of category C intestinal infectious diseases among children and adolescents in Shenzhen from 2012 to 2024 and the association with meteorological factors, so as to provide a scientific basis for the targeted prevention and control of infectious diseases for children and adolescents. Methods: Using data from the "Infectious Disease Reporting Information Management System" of the "China Disease Prevention and Control Information System" covering the period from January 1, 2012 to December 31, 2024, the study analyzed clinical and confirmed cases of hand, foot, and mouth disease, other infectious diarrhea, and acute hemorrhagic conjunctivitis among individuals aged 6-19 years old to describe demographic and temporal characteristics. It used Joinpoint regression to calculate the average annual percent change (AAPC) and annual percent change (APC) to analyze incidence trends, and Spearman s correlation was combined to generalize linear models so as to assess the association between category C intestinal infectious diseases and meteorological factors. Results: From 2012 to 2024, a cumulative total of 61 019 cases of hand, foot, and mouth disease among children and adolescents, 58 498 cases of other infectious diarrhea, and 6 377 cases of acute hemorrhagic conjunctivitis were reported. The AAPC in the incidence rates of these three diseases was 19.19%, 31.03% and 31.48 %, respectively(all P <0.05). Notably, the incidence of hand, foot, and mouth disease increased significantly after 2022 (APC= 133.66 %, P <0.01). The temporal distribution showed that hand,foot,and mouth disease was most prevalent in May,June and July (seasonal index of 2.39,3.64,1.97), other infectious diarrhea was most prevalent in February,March and December (seasonal index of 1.22,1.25,1.47), and acute hemorrhagic conjunctivitis peaked in September and October (seasonal index of 4.22,2.16). Monthly average temperature could increase the risk of hand,foot,and mouth disease( β = 0.18 ,95% CI =0.11-0.25); as monthly average wind speed increased, the incidence of other infectious diarrhea ( β =-0.86, 95% CI = -1.50 to -0.22) and acute hemorrhagic conjunctivitis ( β =-1.32, 95% CI =-2.60 to -0.05) both decreased (all P < 0.05 ). Conclusions Among children and adolescents in Shenzhen, category C intestinal infectious diseases remain prevalent throughout the year；the number of reported hand, foot, and mouth disease cases has shown an upward trend in recent years.Temperature and wind speed significantly affect the number of reported cases of three types with category C intestinal infectious diseases.

ObjectiveTo delineate imaging findings using an imaging platform and investigate the correlation between MRI characteristics of spinal cord atrophy and clinical diagnosis in children with spinal cord injury (SCI). MethodsImaging data of 150 children with SCI admitted to Beijing Bo'ai Hospital, China Rehabilitation Research Center, from January, 2002 to March, 2024 were collected and imported into the imaging platform. The anteroposterior and transverse diameters of the middle part of the spinal cord at the cross-section with the most severe atrophy were measured, and the relevant indicators of the previous normal spinal cord segment were measured as controls; the radiomic features were extracted. Clinical data of the children including gender, age, cause of injury, sensory level, motor level, spinal cord injury level, injury severity and disease course were collected. ResultsSpinal cord atrophy was identified in 81 cases (54%), among which 78 cases (96%) were American Spinal Injury Association Impairment Scale (AIS) grade A and 3 cases (4%) were AIS grade C. The upper boundary of the spinal cord atrophy site strongly correlated with the injury level, motor level and sensory level (r > 0.8, P < 0.001). ConclusionMore than half of children with SCI may develop secondary spinal cord atrophy, the vast majority of whom suffer from complete spinal cord injury; the upper boundary of spinal cord atrophy is correlated with the injury level.

Neurological disorders, including Alzheimer’s disease (AD), Parkinson’s disease (PD), cerebral ischemia, and multiple sclerosis (MS), impose an escalating global health burden and remain largely incurable. These disorders arise from multifactorial and interconnected pathological processes, such as chronic neuroinflammation, oxidative stress, protein misfolding and aggregation, demyelination, and neurovascular dysfunction. Despite substantial advances in elucidating disease-associated molecular mechanisms, current therapeutic strategies are predominantly symptomatic and fail to effectively halt or reverse disease progression. This limitation highlights the urgent need to identify endogenous regulatory molecules capable of coordinating neuronal survival, synaptic maintenance, inflammatory control, and tissue repair within the central nervous system (CNS). Pleiotrophin (PTN) is a heparin-binding, growth-associated cytokine that has emerged as a key regulator of neural development, plasticity, and regeneration. Structurally, PTN contains multiple high-affinity heparin-binding domains that facilitate interactions with extracellular matrix components and cell surface proteoglycans, enabling spatially restricted and context-dependent signaling. Through these molecular properties, PTN functions as a multifunctional organizer of neural growth, plasticity, and tissue remodeling across developmental and adult stages. Its diverse biological effects are executed through a multi-receptor signaling system that integrates extracellular cues with intracellular programs governing cellular survival, migration, and differentiation. Notably, PTN displays a highly dynamic and cell type-specific expression pattern in the central nervous system, being enriched in neural progenitor cells during development and later restricted to discrete neuronal populations, neural stem cells, and non-neuronal niche cells—including astrocytes, pericytes, and vascular endothelial cells—which serve as critical sources of PTN under physiological and pathological conditions. PTN expression is tightly regulated during development and exhibits pronounced plasticity in response to pathological stimuli. Under physiological conditions, PTN is transiently expressed during critical windows of neural growth and synaptogenesis, supporting neuron-glia interactions and myelin formation. In contrast, in pathological contexts such as amyloid β-protein (Aβ) accumulation in AD, dopaminergic neuron degeneration in PD, demyelination in MS, and ischemic brain injury, PTN expression is frequently dysregulated, suggesting an active role in disease-associated remodeling rather than a passive bystander effect. Importantly, accumulating evidence indicates that PTN exerts a dual and context-dependent influence on neurological disorders. On the one hand, aberrant PTN signaling may contribute to maladaptive responses, including sustained glial activation, dysregulated neuroinflammation, extracellular matrix remodeling, and enhanced Aβ deposition. On the other hand, PTN displays robust neuroprotective and reparative functions by promoting neuronal survival, enhancing oligodendrocyte maturation and remyelination, and stimulating post-injury angiogenesis, thereby facilitating tissue repair and functional recovery. At the mechanistic level, PTN signaling is characterized by extensive cross-talk among receptor-dependent pathways. Activation of anaplastic lymphoma kinase (ALK) triggers canonical PI3K-AKT-mTOR and MAPK cascades that support neuronal survival and axonal integrity. PTN binding to protein tyrosine phosphatase receptor type Z1 (PTPRZ1) induces conformational inhibition of its phosphatase activity, resulting in increased phosphorylation of downstream effectors such as β-catenin, Fyn, and Src, which regulate neuronal migration and synaptic stabilization. Syndecan-3 (SDC3) functions as both a co-receptor and an independent signaling mediator by capturing extracellular PTN, amplifying ALK- and PTPRZ1-dependent signaling, and directly modulating cytoskeletal dynamics through PKC and ERK pathways. In parallel, PTN interaction with αVβ3 integrin contributes to remodeling of the neurovascular niche, linking angiogenesis with neurogenesis and neural repair. From a translational perspective, therapeutic strategies targeting PTN can be broadly classified into 3 categories: direct enhancement of PTN signaling through exogenous protein supplementation or gene therapy-mediated upregulation, pharmacological modulation of PTN-associated receptor pathways and downstream signaling nodes, and exploitation of PTN as a dynamic biomarker to inform disease stratification and therapeutic responsiveness. These complementary approaches underscore the growing interest in PTN-centered interventions across a spectrum of neurological disorders. In summary, PTN functions not merely as a classical trophic factor but as a central signaling hub integrating inflammatory regulation, neural regeneration, and vascular remodeling within the CNS. This review aims to synthesize current insights into PTN’s molecular architecture, multi-receptor signaling mechanisms, and disease-specific functions, and to highlight emerging therapeutic strategies targeting PTN. By conceptualizing PTN as a dynamic modulator of neuronal resilience rather than a static biomarker, we propose that precise modulation of PTN signaling may offer promising avenues for therapeutic development in neurodegenerative and neuroinflammatory diseases.

ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.

ObjectiveTo investigate the therapeutic effect of Shaoyao Gancaotang （SYGCT） on high-fat diet （HFD）-aggravated colitis induced by dextran sulfate sodium （DSS） in mice and decipher the potential mechanism. MethodsForty male C57BL/6J mice were fed an HFD for 14 days， followed by gavage of 2%DSS for 7 days for the modeling of HFD-aggravated colitis. The mice were randomly allocated into control， model （HFD-aggravated colitis）， low-dose （5.2 g·kg^-1） SYGCT， high-dose （10.4 g·kg^-1） SYGCT， and 5-aminosalicylic acid （5-ASA， positive control， 50 mg·kg^-1） groups. Body mass changes and disease activity index （DAI） scores were recorded. The colon length was measured. Pathological changes in the colon tissue were observed through hematoxylin-eosin （HE） staining. Transcriptomic analysis was performed to identify differentially expressed genes. Western blot was employed to quantify the protein levels of Occludin， Claudin3， solute carrier family 7 member 11 （SLC7A11）， glutathione peroxidase 4 （GPX4）， and ferritin heavy chain 1 （FTH1）. ResultsCompared with the control group， the model group exhibited diarrhea， bloody stools， increased DAI scores （P<0.01）， colon shortening （P<0.01）， severe colonic pathological damage， and reduced expression of tight junction proteins Occludin and Claudin3 （P<0.05， P<0.01）. Transcriptomic analysis revealed that the differentially expressed genes between the high-dose SYGCT group and the model group were significantly enriched in the ferroptosis signaling pathway. Compared with the model group， SYGCT treatment alleviated diarrhea and bloody stools， reduced DAI scores （P<0.01）， increased the colon length （P<0.01）， mitigated colonic pathological damage， and upregulated the expression of Occludin and Claudin3 （P<0.01）， as well as proteins （SLC7A11， GPX4， and FTH1） associated with the inhibition of ferroptosis （P<0.05）. ConclusionSYGCT significantly ameliorates HFD-aggravated DSS-induced colitis by suppressing ferroptosis via activation of the SLC7A11/GPX4 pathway.

Objective: To analyze the distribution characteristics of school bullying related contents on the Douyin platform, and to provide a scientific basis for the prevention and intervention of school bullying in the online environment. Methods: Web crawler technology was employed to collect data related to school bullying from Douyin in May 2025, using 21 keywords including "school violence" and "child being beaten". A dataset comprising video titles, publisher types, and interaction metrics was constructed. After manual screening and classification, the content themes, engagement characteristics, and sentiment tendencies of titles were analyzed. Results: A total of 2 388 valid videos released between January 2019 and May 2025 were included. Physical bullying (767 cases, 32.12%) and verbal bullying (534 cases, 22.36%) were the most common types. Content themes differed significantly across account types ( χ 2=782.85, P <0.01). Official media accounts predominantly focused on case reports ( AR = 14.52 ) and legal updates ( AR =5.49), and social media influencer accounts preferred scenario reenactments ( AR =4.07) and film clips ( AR =3.83), while ordinary users focused on coping strategies ( AR =8.76). Account types had a stronger effect on engagement metrics than content themes (all P <0.01). Sentiment analysis of titles revealed that official media accounts tended toward negative sentiment ( AR = 6.41), social media influencer accounts toward neutral sentiment ( AR =2.47), and ordinary users toward positive sentiment ( AR =4.44). Keyword analysis showed high frequency terms related to responsible parties such as "children" "parents", and "classmates" , while demand oriented words like "how" were prominent. Conclusions School bullying related contents on Douyin demonstrate significant dissemination stratification by account type, and the dissemination effect is significantly influenced by the type of content publisher. There is a clear public demand for practical guidance on bullying prevention and intervention strategies.

Alzheimer's disease (AD) is characterized by cognitive and functional deterioration, with pathological features such as amyloid-beta (Aβ) aggregates in the extracellular spaces of parenchymal neurons and intracellular neurofibrillary tangles formed by the hyperphosphorylation of tau protein. Despite a thorough investigation, current treatments targeting the reduction of Aβ production, promotion of its clearance, and inhibition of tau protein phosphorylation and aggregation have not met clinical expectations, posing a substantial obstacle in the development of drugs for AD. Recently, artificial intelligence (AI), computational biology (CB), and systems biology (SB) have emerged as promising methodologies in AD research. Their capacity to analyze extensive and varied datasets facilitates the identification of intricate patterns, thereby enriching our comprehension of AD pathology. This paper provides a comprehensive examination of the utilization of AI, CB, and SB in the diagnosis of AD, including the use of imaging omics for early detection, drug discovery methods such as lecanemab, and complementary therapies like phototherapy. This review offers novel perspectives and potential avenues for further research in the realm of translational AD studies.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Intelligent acupuncture-moxibustion medical equipment is an important force in promoting the inheritance, innovation, and modernization of acupuncture-moxibustion. This paper reviews the development status of intelligent acupuncture-moxibustion medical equipment and related new technologies, as well as the challenges faced. It is found that, with the advancement of technologies such as big data and artificial intelligence, acupuncture-moxibustion medical equipment has shown characteristics of greater precision, miniaturization, intelligence, and portability. However, deficiencies remain in areas such as standardization and regulation, including relatively low rates of effective transformation and a lack of innovation in research outcomes. Therefore, there is an urgent need to formulate corresponding strategies: improving the development of relevant standards for intelligent acupuncture-moxibustion medical equipment, encouraging the integration of medicine and engineering, cultivating interdisciplinary talents, and strengthening the protection of invention patents. It is necessary to establish a demand-oriented pathway connecting "equipment development, equipment evaluation, product formation" through multiple stages such as talent training and research project initiation, thereby promoting the modernization and standardization of intelligent acupuncture-moxibustion medical equipment and supporting the revitalization of traditional medicine.
Moxibustion/instrumentation* ; Humans ; Acupuncture Therapy/trends* ; Artificial Intelligence

ObjectiveThis nested case-control study, based on the Shanghai Birth Cohort (SBC), aimed to explore the impact of early pregnancy exposure to organophosphorus flame retardants (OPFRs) on attention deficit hyperactive disorder (ADHD)-like symptoms in 4-year-old children, so as to provide epidemiological evidence regarding the health effects of emerging contaminant OPFRs in children. MethodsStrengths and Difficulties Questionnaire (SDQ) was used to assess ADHD like symptoms in 4-year-old children. Children with an SDQ hyperactivity subscale score ≥6 points were defined as cases, while those with a score <5 points were considered as controls. The case and control groups were matched at 1∶1 based on the child’s age (±6 months), sex, and parental or primary caregiver’s education level. A total of 105 cases and 112 controls were included eventually. Concentrations of eight OPFRs metabolites in early pregnancy urine samples were measured using ultra-high performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS), including di-phenyl phosphate (DPHP), di-m-cresylphosphate (DmCP), di-o-cresylphosphate (DoCP), di-p-cresylphosphate (DpCP), di-n-butyl phosphate (DnBP), di-iso-butyl phosphate (DiBP), bis(2-butoxyethyl) phosphate (BBOEP), and bis(2-ethylhexyl) phosphate (BEHP). Basic demographic information of mothers and children were collected through questionnaire surveys and medical records extraction. Binary logistic regression models were used to analyze the effect of individual OPFRs exposure during early pregnancy on ADHD-like symptoms, while a quantile g-computation (Qgcomp) regression model was employed to assess the effects of mixed OPFRs exposure (with detection rates >75%) on ADHD-like symptoms in 4-year-old children. ResultsIn this study, the detection rates of DPHP, DoCP, and the DmCP&DpCP in the urine of early pregnancy women were higher than 75%, with DPHP having the highest detection rate (86.18%). The median concentrations of DPHP were highest in both the case and control groups (0.396 μg·L^-1 and 0.305 μg·L^-1, respectively). Binary logistic regression analyses revealed that exposure to DPHP during early pregnancy increased the risk of ADHD-like symptoms in 4-year-old children (OR=1.262, 95%CI: 1.017‒1.565). The mixed exposure model analyses showed that early pregnancy co-exposure to OPFRs increased the risk of ADHD-like symptoms (OR=1.508, 95%CI: 1.012‒2.258), with DPHP being the primary contributor to the association. ConclusionEarly pregnancy exposure to DPHP is positively associated with an increased risk of ADHD-like symptoms in 4-year-old children. Additionally, DPHP contributed the most to the adverse effects of mixed OPFRs exposure on ADHD-like symptoms. However, these findings require further validation through other large-scale prospective cohort studies.