OBJECTIVE To develop physiologically based pharmacokinetic （PBPK） model for sodium tanshinone Ⅱ A sulfonate （STS）， clopidogrel （Clo）， and its metabolites， to predict the potential drug-drug interaction （DDI） between STS and Clo during co-administration， and to identify the key factors influencing the predicte d DDI， and provide evidence for rational clinical medication. METHODS Physicochemical and pharmacokinetic parameters of Clo， its metabolites， and STS were retrieved from PubMed， DrugBank， and SwissADME for PBPK model development. The steady-state area under the plasma concentration-time curve （AUC） and maximum concentration （ c max ） of clopidogrel thiol H4 （Clo-AM） were used as indicators to evaluate the DDI between STS and Clo. Single-factor sensitivity analysis was performed to identify key parameters influencing DDI between STS and Clo during co-administration. RESULTS Compared with Clo alone， after 7 days of Clo combined with STS 40 mg， the AUC ratio and c max ratio of Clo-AM were 0.75 and 0.63， respectively. When the dose of STS was increased to 80 mg， the AUC ratio and c max ratio of Clo-AM were 0.62 and 0.56， respectively. Sensitivity analysis indicated that the absolute values of normalized sensitivity coefficients for the lipophilicity of Clo-AM， the inhibition constants of STS for CYP2C19 and CYP3A4， and the hepatic clearance of Clo-AM were 15.19， 11.34， 10.98， 3.08， respectively. These parameters were the highly sensitive parameters in the DDI between STS and Clo during co-administration. CONCLUSIONS The established PBPK model can be used to predict the DDI between STS and Clo during co-administration. Co-administration of STS and Clo may lead to decreased exposure of Clo-AM. The lipophilicity-related parameters of Clo-AM and the inhibition parameters related to CYP3A4 and CYP2C19 are key parameters influencing the prediction of Clo-AM exposure， among which the inhibitory effects of STS on CYP3A4 and CYP2C19 may be an important mechanism mediating the DDI between STS and Clo.

OBJECTIVE To develop physiologically based pharmacokinetic （PBPK） model for sodium tanshinone Ⅱ A sulfonate （STS）， clopidogrel （Clo）， and its metabolites， to predict the potential drug-drug interaction （DDI） between STS and Clo during co-administration， and to identify the key factors influencing the predicte d DDI， and provide evidence for rational clinical medication. METHODS Physicochemical and pharmacokinetic parameters of Clo， its metabolites， and STS were retrieved from PubMed， DrugBank， and SwissADME for PBPK model development. The steady-state area under the plasma concentration-time curve （AUC） and maximum concentration （ c max ） of clopidogrel thiol H4 （Clo-AM） were used as indicators to evaluate the DDI between STS and Clo. Single-factor sensitivity analysis was performed to identify key parameters influencing DDI between STS and Clo during co-administration. RESULTS Compared with Clo alone， after 7 days of Clo combined with STS 40 mg， the AUC ratio and c max ratio of Clo-AM were 0.75 and 0.63， respectively. When the dose of STS was increased to 80 mg， the AUC ratio and c max ratio of Clo-AM were 0.62 and 0.56， respectively. Sensitivity analysis indicated that the absolute values of normalized sensitivity coefficients for the lipophilicity of Clo-AM， the inhibition constants of STS for CYP2C19 and CYP3A4， and the hepatic clearance of Clo-AM were 15.19， 11.34， 10.98， 3.08， respectively. These parameters were the highly sensitive parameters in the DDI between STS and Clo during co-administration. CONCLUSIONS The established PBPK model can be used to predict the DDI between STS and Clo during co-administration. Co-administration of STS and Clo may lead to decreased exposure of Clo-AM. The lipophilicity-related parameters of Clo-AM and the inhibition parameters related to CYP3A4 and CYP2C19 are key parameters influencing the prediction of Clo-AM exposure， among which the inhibitory effects of STS on CYP3A4 and CYP2C19 may be an important mechanism mediating the DDI between STS and Clo.

OBJECTIVE To explore a new model of intelligent medication education for pharmaceutical outpatient clinics by constructing dynamic HTML web pages through the DeepSeek-V3-0324 large-scale model. METHODS Clinical pharmacists integrated key clinical information such as patients’ basic information， medication history and medication precautions in real time， and generated a standardized medication education list through the DeepSeek-V3-0324 large-scale model and manual review. RESULTS The DeepSeek-V3-0324 large-scale model was applied in the pharmaceutical outpatient clinics to generate a personalized medication education list， which could effectively solve the disunity of pharmacy guidance caused by the lack of standardization of medication education and the difference of individualized experience of pharmacists in the traditional pharmaceutical outpatient clinics in the face of complex cases， and medication errors caused by forgetting or misremembering information among certain special patient populations after receiving medication education. CONCLUSIONS The transformation and application of artificial intelligence technology in pharmaceutical outpatient clinics is an innovation of pharmaceutical outpatient service means， which can provide patients with immediate and personalized medication education and improve the quality of pharmaceutical care. However， it is also necessary to face the lag of database update and the lack of risk management， as well as the lack of diversification of medication education lists.

Objective Mesenteric panniculitis is an idiopathic , uncommon disease involving the adipose tissue of mesentery .The etiology , diagnosis and treatment are still unnoticed .We thus reported a case series to improve the understanding of this rare disorder .Methods We retrospectively analyzed the clinical data of 12 patients with mesenteric panniculitis including manifestation , diagnosis, treatment and prognosis.Results We found a male predominance (M∶F 3∶1) with the median age of 58 years old at diagnosis.The most common symptom was abdominal pain (9/12), followed by abdominal distension (3/12) and weight loss (3/12).Physical examination was unremarkable in the majority of patients (8/12).C reactive protein (9/12) and erythrocyte sedimentation rate (10/12) were normal in majority of patients.CT findings were of much diagnostic value .All patients had small intestinal mesentery involvement and multi-nodular appearance with increased fat density .Pseudo-capsule sign ( 8/12 ) and fat halo sign (6/12) were common.Pathological diagnosis was obtained in 4 cases showing fat tissue inflammation with local necrosis and fibrosis .Six cases all received prednisone , 2 with combined cyclophosphamide , 1 with azathioprine, 1 with tripterygium wilfordii .Short-term clinical response was achieved in all cases , but two patients relapsed .Conclusions Mesenteric panniculitis occurs predominantly in middle-aged and elderly . Abdominal pain is the leading symptom .Inflammatory markers are often normal while computed tomography is the most important diagnostic tool .Surgery combined with cortical steroid and immunosuppressant agents is effective.