ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

Chronic atrophic gastritis （CAG） is a digestive system disease characterized by the reduction and atrophy of the intrinsic glands of the gastric mucosa. This disease is closely related to risk factors such as Helicobacter pylori （Hp） infection，long-term unhealthy eating habits and lifestyle. As CAG is a key link in the development of gastric cancer，effectively preventing its deterioration is of great significance for the prevention of gastric cancer. At present，Western medicine mainly uses symptomatic treatments such as eradicating Hp，protecting gastric mucosa， and promoting gastrointestinal motility. However， long-term use is prone to drug resistance and cannot reverse limitations such as gland atrophy， making it urgent to explore new intervention strategies. In recent years，with the deepening of CAG mechanism research，the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway，as one of the classic signaling pathways，plays a significant role in the occurrence and development of CAG，while its systematic summary is still blank. Based on the regulatory advantages of "multi-target，multi-pathway，and low toxicity"，traditional Chinese medicine can improve the pathological process of CAG by intervening in key nodes of the PI3K/Akt pathway. In this paper，the research progress of traditional Chinese medicine regulating PI3K/Akt pathway to improve CAG was systematically reviewed for the first time. The expression of PI3K/Akt signaling pathway in CAG was discussed，including the regulation of inflammation and oxidative stress，cell proliferation and apoptosis，and autophagy. The traditional Chinese medicine flavonoids，alkaloids，terpenoids and other compounds that regulate this pathway were summarized. The traditional Chinese medicine compounds mainly include classic famous prescriptions such as Xiaochaihu Tang，Banxia Xiexin Tang，Morodan concentrated pills，Elian granules and other traditional Chinese patent medicines，as well as empirical prescriptions such as modified Leweiyin formula，and Qiling prescription. This study aims to give full play to the advantages of traditional Chinese medicine and lay a solid foundation for the wide application and further development of CAG treatment，and provide new ideas for clinical research and drug research on CAG.

ObjectiveTo explore the relationship between negative life events and depression severity in adolescent patients with depressive disorder， as well as the chain mediating role of insomnia symptoms and quality of life. Methods374 outpatient patients and hospitalized patients with adolescent depressive disorders were enrolled. The Adolescent Life Event Scale （ASLEC）， the Insomnia Severity Index （ISI）， the World Health Organization Quality of Life Questionnaire Short Form （WHOQOL-BREF）， and the Center for Epidemiology Depression Scale （CES-D） were used to evaluate the negative life event situation， insomnia symptoms， quality of life level and depression severity of the subjects， respectively. In addition， the PROCESS 4.0 macroprogram was used to analyze the chain mediating effect of insomnia symptoms and quality of life between negative life events and depression severity in patients with adolescent depressive disorder. ResultsThe results of correlation analysis showed that there was a significant correlation between negative life events and insomnia symptoms， quality of life， and depression severity （all P<0.05）. In addition， the results of chain mediation showed that negative life events had a significant direct effect on depression severity， with an effect size of 0.12 （P<0.001）. Insomnia symptoms and quality of life played a mediating role in the relationship between negative life events and depression severity in patients with adolescent depressive disorders， with indirect effect sizes of 0.062 （95%CI： 0.040-0.087） and 0.091 （95%CI： 0.059-0.123）， respectively. It could also play a chain mediation role， and the effect size was 0.039 （95%CI： 0.024-0.057）. ConclusionNegative life events experienced by patients with adolescent depressive disorder not only directly affect the severity of depressive symptoms， but may also indirectly exacerbate depression through insomnia symptoms and quality of life.

Late life depression （LLD） has long been a challenge in clinical diagnosis and treatment due to its unique and complex nature in etiology， clinical features， assessment and diagnostic procedures， as well as treatment interventions. Centered on the core content of the Expert consensus on diagnosis and treatment of late life depression （2025 edition） and integrated with current clinical focuses， this article systematically interprets the consensus regarding its background， risk factors， feature identification and multidimensional assessment， diagnostic and differential principles， treatment strategies， as well as rehabilitation and recurrence prevention management of LLD. This article aims to deepen the understanding of the consensus， promote its application in clinical practice， and further elevate the level of standardized diagnosis and treatment of LLD in China. ［Funded by National Natural Science Foundation of China （number， 82171524）］

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.

A 51-year-old male presented with nasal obstruction, followed by progressive hearing loss and blurred vision. Imaging identified space-occupying lesions in the paranasal sinuses, orbits, and paraspinal regions, while laboratory tests confirmed positive anti-proteinase 3 anti-neutrophil cytoplasmic antibody(PR3- ANCA) immunoglobulin G (IgG)and markedly elevated serum IgG4. Despite treatment with corticosteroids, immunosuppressants, and radiotherapy, the patient exhibited steroid dependency with relentless disease progression. Following multidisciplinary consultation, a diagnosis of inflammatory myofibroblastic tumor (IMT) coexisting with ANCA- associated vasculitis (AAV) was favored, though IgG4-related disease remained a critical differential. Ultimately, profound immunosuppression precipitated a severe herpesvirus infection, leading to disseminated intravascular coagulation and multiple organ dysfunction syndrome. This case underscores the rarity and diagnostic complexity of concurrent IMT and AAV, highlights the therapeutic dilemma of balancing primary disease control against fatal opportunistic infections, and emphasizes the critical role of multidisciplinary collaboration in the diagnosis and treatment of complex diseases.

ObjectiveTo investigate the protective effect and mechanism of Wendan Ningxin granules （WNG） on susceptibility to atrial fibrillation （AF） in mice with inflammatory injury. Methods100 C57BL/6 mice were divided into a blank control group， a model group， a low-dose WNG group （2.34 g·kg^-1·d^-1）， a high-dose WNG group （4.68 g·kg^-1·d^-1）， and an amiodarone positive control group （0.091 g·kg^-1·d^-1）， with 20 mice in each group. Except for the blank control group， mice in other groups received intraperitoneal injections of lipopolysaccharide （LPS） to establish an inflammatory injury model. Treatment groups received continuous intragastric administration of their respective interventions for four weeks. During the fourth week， the treatment groups received LPS injections concurrently with their treatments. The blank control and model groups received distilled water （10 mL·kg^-1·d^-1） by gavage， with a gavage volume of 10 mL·kg^-1 for all groups， once daily. Hematoxylin-eosin （HE） staining and Sirius red staining were used to observe atrial tissue morphology and fibrosis degree. Immunohistochemistry was used to assess the expression of α-smooth muscle actin （α-SMA） in mouse atrial tissue. Electrophysiological detection was performed using a multi-channel electrophysiology mapping system to measure AF inducibility， AF duration， and atrial effective refractory period （AERP）. High-resolution optical mapping was used to measure action potential duration （APD） dispersion， conduction heterogeneity index， and calcium transient （CaT） dispersion. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect mRNA expression of proteins related to diastolic calcium leakage in mouse atria： Ca²⁺/calmodulin-dependent protein kinase Ⅱ（CaMKⅡ）， ryanodine receptor 2（RyR2）， sarco/endoplasmic reticulum Ca²⁺-ATPase （SERCA）， and sodium-calcium exchanger （NCX）. Western blot analysis was performed to detect the expression of CaMKII， RyR2， SERCA， and NCX proteins in myocardial tissue from each group. Enzyme-linked immunosorbent assay （ELISA） was used to measure serum levels of inflammatory factors interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α）. ResultsPathological staining results showed that compared with the blank control group， the model group exhibited disrupted atrial tissue structure， inflammatory cell infiltration， atrial fibrosis， and diffuse infiltration of numerous brown α-SMA positive cells in the atrial interstitium （P<0.01）. AF could be induced by electrical stimulation with a longer duration. AERP was shortened， while APD dispersion， conduction heterogeneity index， and CaT dispersion were increased （P<0.01）. The expression of proteins associated with diastolic calcium leakage， including CaMKⅡ， RyR2， and NCX1， showed elevated mRNA and protein levels， whereas SERCA2a mRNA and protein expression decreased （P<0.05）. Serum levels of inflammatory factors IL-1β and TNF-α were elevated （P<0.01）. Compared with the model group， intervention with WNG alleviated cardiac structural damage， reduced inflammatory cell infiltration， improved atrial fibrosis， and reduced the diffuse infiltration of α-SMA positive cells （P<0.01）. AF inducibility and AF duration upon electrical stimulation were significantly reduced （P<0.05）， AERP was prolonged （P<0.05）， mRNA and protein expression of CaMKⅡ， RyR2， and NCX1-proteins associated with diastolic calcium leakage-were reduced， whilst mRNA and protein expression of SERCA2a increased （P<0.05）， and serum levels of IL-1β and TNF-α were decreased （P<0.01）. ConclusionBoth low‑ and high‑dose WNG can effectively reduce susceptibility to inflammation-related AF. The mechanism by which WNG reduce AF susceptibility may be related to regulating proteins involved in sarcoplasmic reticulum diastolic calcium leak， thereby improving cardiac electrical remodeling， and alleviating inflammation-induced myocardial fibrosis， thus improving cardiac structural remodeling.