OBJECTIVE To explore the influencing factors for immune-related endocrine toxicity in the treatment of malignant solid tumors with sintilimab， aiming to provide a reference for rational drug use. METHODS Case data were collected from patients with malignant solid tumors， who were treated with sintilimab at the First Affiliated Hospital of Jinzhou Medical University from January 1， 2020 to December 31， 2024， using the electronic medical record system. The patients were divided into an endocrine immune-related adverse events （irAEs） group and a non-endocrine irAEs group based on whether they developed immune-related endocrine toxicity after sintilimab administration. The statistical significance of predictive variables was examined through univariate and multivariate Logistic regression methods. RESULTS A total of 224 patients were enrolled， including 138 cases （61.6%） in the non-endocrine irAEs group and 86 cases （38.4%） in the endocrine irAEs group. After univariate and multivariate Logistic regression analysis， a treatment period of 1-12 cycles was identified as an independent influencing factor for immune-related endocrine toxicity [OR＝7.175， 95%CI （1.239， 41.563）， P ＜0.05 ] ， immune-related hyperglycemia [OR＝6.600， 95%CI （1.053， 41.359）， P ＜0.05 ] ， and immune-related subclinical hypothyroidism [OR＝20.200， 95%CI （3.224， 126.558）， P ＜0.05 ] . The combination with paclitaxel-based drugs was identified as an independent influencing factor for immune-related subclinical hyperthyroidism [OR＝6.410， 95%CI （1.790， 22.955）， P ＜0.05 ] . CONCLUSIONS Among patients treated with sintilimab， the treatment cycle is a risk factor for immune-related endocrine toxicity， immune-related hyperglycemia and immune-related subclinical hypothyroidism. The combination of paclitaxel-based drugs is a risk factor for immune-related subclinical hyperthyroidism. It is recommended that when applying sintilimab in clinical practice， especially during the first few treatment cycles， the relevant endocrine indicators should be dynamically monitored in a standardized manner. In addition， special attention should be paid to patients treated with the combination of paclitaxel-based drugs to be vigilant against the occurrence of endocrine adverse events.

OBJECTIVE Identify the incentive and constraint factors of artificial intelligence （AI） application in the pharmaceutical field， and promote the application of AI in the field of pharmacy. METHODS Based on the technology acceptance model （TAM）， technology-organization-environment （TOE） framework， and diffusion of innovation theory （DOI）， a TAM-TOE-DOI integrated framework was constructed through a four-stage research process of “theoretical review → dimension mapping → mechanism integration → proposition development”. Combining the analytical pathways of the above three theories in AI application in pharmacy with the integration mechanisms and core propositions of the TAM-TOE-DOI， literature review and deductive reasoning were employed to systematically identify the incentive and constraint factors of AI application in pharmacy from three levels：micro （TAM）， meso （TOE）， and macro （DOI）， and to propose optimization strategies. RESULTS & CONCLUSIONS At the micro level， the efficiency transformation and quality improvement brought by AI technology were the main incentive factors for perceived usefulness， while technological complexity and algorithmic opacity were the main constraint factors for perceived ease of use. At the meso level， the completeness of technological infrastructure， the strength of top management support and innovation climate， as well as external institutional pressure and competitive driving forces were the core incentive factors， whereas scarcity of organizational resources and talent shortage were the main constraint factors. At the macro level， relative advantage and observability were typical incentive factors， while technological complexity was a typical constraint factor. China’s health administration， medical insurance authorities， and other relevant departments should coordinate efforts at the macro， meso， and micro levels to advance AI application in pharmacy： optimizing human-computer interaction and implementing tiered training programs at the micro level； reinforcing organizational support systems and capacity building at the meso level； dismantling data barriers and building social trust at the macro level. Differentiated implementation pathways should be developed for medical institutions at different tiers.

OBJECTIVE To systematically analyze the trends in the volume and value of out-licensing deals by Chinese biopharmaceutical companies over the past two decades， and to quantitatively identify factors associated with deal value， thereby providing an evidence base for policymakers and corporate managers. METHODS Based on the PharnexCloud database， information on out-licensing deals disclosed by Chinese biopharmaceutical companies between January 1， 2005 and December 31， 2025 was collected， and executed deals with disclosed specific financial terms were included for analysis. Descriptive statistical analyses of deal value， product characteristics and deal characteristics were performed using Stata SE 18.0； with the natural logarithm of deal value as the dependent variable， stepwise multiple regression models were constructed to examine the associations of product and deal characteristics with deal value. RESULTS A total of 210 out-licensing deals were included， with a cumulative deal value of approximately 214.151 billion dollars and a mean deal value of 1.020 billion dollars . The trading market expanded rapidly from 2020 onward， with the annual deal value reaching a record 95.687 billion dollars in 2025. Multiple regression analysis showed that the deal value of products at the drug discovery stage was significantly lower than that at the preclinical stage [regression coefficient （ β ） ＝－1.995， 95% confidence interval （CI）： －3.256 to －0.734， P ＜0.05 ] ； the deal value of oncology products was significantly higher than that of other therapeutic areas （ β ＝0.828， 95%CI： 0.224 to 1.431， P ＜0.05）； global licensing （ β ＝1.690， 95%CI： 1.107 to 2.273， P ＜0.05） and co-development arrangements （ β ＝0.849， 95%CI： 0.084 to 1.615， P ＜0.05） were significantly associated with higher deal value. CONCLUSIONS Out-licensing deals by Chinese biopharmaceutical companies have achieved significant growth in both volume and value over the past two decades. Oncology products， global licensing， and co-development arrangements are significantly and positively associated with higher deal value.

This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

Objective To analyze the factors influencing the occupational health literacy (OHL) level among workers in key industries from the perspectives of both individual workers and enterprises. Methods A total of 32 336 front-line workers from 12 key industries in the secondary industry in Guangdong Province were selected as the research subjects by a stratified cluster random sampling method. Their OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations, and the influencing factors were analyzed. Results The OHL level of the research subjects was 48.5%. The OHL level of the research subjects in four dimensions from high to low was basic knowledge of occupational health protection, occupational health practice and behavior, legal knowledge of occupational health, and basic skills of occupational health protection (80.7%, 61.2%, 48.3% and 29.5%, respectively). The multivariable logistic regression analysis showed that the OHL level of female workers was lower than that of males (P<0.05). Lower OHL was also associated with older age, lower education level, lower personal monthly income of workers (all P<0.01). The workers with length of service < 3 years and ≥ 20 years had lower OHL level than those with length of service 3-<10 years and 10-<20 years, respectively (all P<0.05). Workers in larger enterprises had higher OHL levels (all P<0.01). The OHL level of workers in the sixth category of industries with occupational injuries had higher occupational injury risks than those in the third and fourth categories (all P<0.05). The OHL levels of workers in state-owned enterprises, private enterprises, foreign-funded enterprises, and other enterprises were higher than that of workers in public institutions (all P<0.05). Conclusion The influencing factors of workers′ OHL in key industries of the secondary industry include individual factors (gender, age, education level, personal monthly income, length of service) and enterprise factors (enterprise size, enterprise nature and industry injury risk category). Female, older workers, those with lower education or income, and those with short length of service represent priority groups for OHL interventions, while small and micro enterprises are priority units for future workplace health promotion intervention.

Complement C3 plays a critical role in periodontitis. However, its source, role and underlying mechanisms remain unclear. In our study, by analyzing single-cell sequencing data from mouse model of periodontitis, we identified that C3 is primarily derived from periodontal fibroblasts. Subsequently, we demonstrated that C3a has a detrimental effect in ligature-induced periodontitis. C3ar^-/- mice exhibited significantly less destruction of periodontal support tissues compared to wild-type mice, characterized by mild gingival tissue damage and reduced alveolar bone loss. This reduction was associated with decreased production of pro-inflammatory mediators and reduced osteoclast infiltration in the periodontal tissues. Mechanistic studies suggested that C3a could promote macrophage polarization and osteoclast differentiation. Finally, by analyzing single-cell sequencing data from the periodontal tissues of patients with periodontitis, we found that the results observed in mice were consistent with human data. Therefore, our findings clearly demonstrate the destructive role of fibroblast-derived C3 in ligature-induced periodontitis, driven by macrophage M1 polarization and osteoclast differentiation. These data strongly support the feasibility of C3a-targeted interventions for the treatment of human periodontitis.
Animals ; Osteoclasts/cytology* ; Periodontitis/metabolism* ; Cell Differentiation ; Mice ; Fibroblasts/metabolism* ; Macrophages ; Disease Models, Animal ; Complement C3/metabolism* ; Humans ; Disease Progression ; Mice, Inbred C57BL ; Male ; Mice, Knockout

Objective:To explore the cognitive characteristics, influencing factors, and treatment needs regarding biologic agents among patients with psoriasis.Methods:A cross-sectional study was conducted. Patients with psoriasis attending the Department of Dermatology, Xijing Hospital, Air Force Medical University were selected from October to December 2022, and from June to December 2023. A self-designed electronic questionnaire was used for investigation, covering demographic characteristics, psoriasis history (disease types, disease duration, previous treatments, etc.), biologics knowledge (sources of awareness, core cognitive dimensions), and treatment needs.Results:The valid questionnaire response rate reached 93.2% (439/471). The ages of enrolled patients were 35.95 ± 12.57 years, and the disease duration was 7.90 ± 3.26 years. Psoriasis vulgaris was the predominant type (363 cases, 82.69%). The overall awareness rate of biologics slightly increased from 68.62% (105/153) in 2022 to 72.38% (207/286) in 2023 ( P > 0.05). Primary information sources included new media (WeChat/internet) platforms (168 cases, 53.84%) and peer-to-peer sharing (115 cases, 36.86%), while physician counseling merely accounted for 9.29% (29 cases) ( P < 0.001). Insufficient knowledge of biologics was manifested primarily as poor awareness of comorbidities (47.60%, 209/439) and treatment monitoring protocols (22.32%, 98/439). Core concerns regarding biologic therapy included safety (73.34%, 322/439), economic burden (65.14%, 286/439), and long-term efficacy (63.55%, 279/439) ; 60.13% (264/439) of the patients expected rapid improvement of skin symptoms. As for treatment modalities, 90.20% (396/439) of the patients preferred regimens with extended dosing intervals. Conclusions:The patients with psoriasis demonstrated an imbalance in their cognitive structure regarding biologic agents. Their treatment needs exhibited multidimensional characteristics, emphasizing not only rapid clearance of skin lesions but also greater importance of treatment safety and cost-effectiveness.

Objective To analyze ancient prescriptions for knee osteoarthritis(KOA),and explore their application patterns,for providing clinical reference value.Methods Prescriptions were collected from ancient documents,and a database was created by using Excel 2016 for frequency analysis.Association rules and hidden structures were analyzed by using SPSS Modeler 18.0 and Lantern 5.0.Results A total of 373 prescriptions and 421 herbs were collected,with 3894 times of frequency of medication.Danggui was the most frequently used herb.Herbs primarily tonified deficiencies,relieved exterior symptoms,and expelled wind-dampness,with warm properties and pungent,sweet,or bitter tastes,mainly targeting the spleen and kidney meridians.Thirteen strong association rules were identified,including Chuanxiong+Niuxi-Danggui,and Bixie-Niuxi.Hidden structure analysis revealed 10 variables,leading to 4 clusters and 4 core prescriptions.Common syndromes included wind-damp,wind-cold-damp,wind-damp-heat,and qi-blood deficiency.Conclusion The treatment of KOA in ancient literature focuses on dispelling wind and removing dampness,taking into account both positive deficiency and evil excess,flexible use of tonifying spleen and kidney,clearing dampness-heat,tonifying Qi and blood and other drugs.