Objective: To predict the mechanism of radix paeoniae rubra in the prevention and treatment of lung cancer through network pharmacology. Methods: The chemical components of radix paeoniae rubra were retrieved from the TCMSP database, and its action targets were predicted using the SwissTarget Prediction database. The targets related to lung cancer were collected from the OMIM database and GeneCards database. The intersection of the targets of radix paeoniae rubra components and the targets related to lung cancer was screened.The related target proteins were collected using the String platform, and Gene Ontology annotation analysis was conducted with the DAVID database. Visualization analysis was performed using Cytoscape 3.9.1 software. The protein-protein interaction network was constructed using the Centiscape 2.2 plugin software to obtain the core targets. Through PPI, GO and KEGG analysis, 8 targets with high correlation between radix paeoniae rubra and lung cancer were obtained. The 3D structures of paeoniflorin, ellagic acid and baicalein were obtained from the PubChem database and saved as Sdf files. Molecular docking was performed between some of the targets and paeoniflorin, ellagic acid and baicalein. Target information was found in the Uniport database and PDB database. Molecular docking was conducted in AutodockVina and Openbabel to obtain the docking energy. Molecular docking visualization was performed using PyMol software. Finally, the mechanism of radix paeoniae rubra in the prevention and treatment of lung cancer was further analyzed. Based on the initial screening of 8 key genes, the significantly associated extended pathways were selected using KEGG, and molecular docking was conducted on all targets in these pathways. The docking effect was judged by the standard of binding energy ≤ -5.0 kcal·mol-1. Results: Thirteen compounds and 563 action targets were screened from the traditional Chinese medicine radix paeoniae rubra. The intersection with 2 376 lung cancer-related targets yielded 223 common targets. The protein-protein interaction network had 222 nodes and 4 678 edges. After screening, 39 nodes and 625 edges were obtained, and there were 39 core targets. GO annotation yielded 887 biological processes, 110 cellular components, and 197 molecular functions. The eight targets with high correlation between radix paeoniae rubra and lung cancer were ESR1, EGFR, KRAS2, KRAS, ERBB1, HRAS, MEK1, and MAP2K1, all of which showed good docking activity with the core active components of radix paeoniae rubra. Based on the initial screening of 8 target sites, the RAS-ERBB- MAPK signaling axis-related pathways were identified as the main signaling pathways through KEGG screening. After screening and determining the RAS-ERK, ERBB, MAPK, and Ras signaling pathways, molecular docking confirmed that the core active components of radix paeoniae rubra had good binding. Conclusion: Network pharmacology intuitively demonstrates that radix paeoniae rubra may exert therapeutic effects on the proliferation of lung cancer cells through the multi-target and multi-pathway synergistic inhibition of the RAS-ERBB-MAPK signaling axis, including the RAS-ERK, ERBB, MAPK, and Ras signaling pathways, providing a theoretical basis for the subsequent development of drugs for the treatment of lung cancer.

Objective: Using network pharmacology and molecular docking techniques to predict the targets of cervical cancer (CC) and investigate the role and mechanism of Radix Paeoniae Rubra in inhibiting the invasive and metastatic capabilities of CC. Methods: Firstly, the chemical components of Radix Paeoniae Rubra were retrieved through the TCMSP database and the action targets of Radix Paeoniae Rubra were predicted through the Swiss Target Prediction database. Then, the targets of cervical cancer (CC) were obtained through the Gene Cards database. The intersection targets of drugs and diseases were obtained by using Venn diagrams. After obtaining the common targets between drug targets and disease targets using a Venn diagram, the protein-protein interaction network of these targets was constructed through the STRING database. Additionally, the traditional Chinese medicine-compound-targetdisease network was built and analyzed using Cytoscape software. Enrichment analysis and KEGG pathway analysis were carried out by using the DAVID database. Some key proteins were obtained as materials for molecular docking. The molecular structures of key proteins were downloaded through the Uniport and PDB databases. The docking of key proteins with small molecules was carried out by using Sailvina, and the docking results were visualized by using Pymol. Results: Twelve active ingredients and 352 targets were screened out from Radix Paeoniae Rubra. 2 499 disease targets were screened out for cervical cancer. 175 intersection targets were screened out by using Venn diagrams. PPI analysis determined that key targets such as EGFR, BCL2, AKT1, CASP3, STAT3, JUN, HSP90AA1, MMP9, and HIF1 were related to the inhibitory effect of Radix Paeoniae Rubra on cervical cancer. GO enrichment analysis yielded 671 entries of biological processes, 179 entries of molecular functions, and 94 entries of cellular components. KEGG pathway analysis identified 151 pathways. The results of molecular docking and visualization showed that key targets such as EGFR, HSP90AA1, SOS, and KRAS had strong binding abilities. Conclusion: Network pharmacology has demonstrated multiple methods, multiple pathways and multiple active ingredients of Radix Paeoniae Rubra in the treatment of cervical cancer, revealing that Radix Paeoniae Rubra may play an important role in inhibiting the abnormal growth of vascular endothelial cells in cervical cancer through the RAS-ERK signaling pathway.

Objective: To analyze the association between preoperative high-density lipoprotein cholesterol (HDL-C) and acute kidney injury (AKI) in patients after cardiac surgery with cardiopulmonary bypass (CPB). Methods: We conducted a retrospective analysis of clinical data from adult patients who underwent cardiac surgery with CPB. The patients were divided into low HDL-C level group (<1.04 mmol·L-1) and normal HDL-C level group (≥ 1.04 mmol·L-1) according to the preoperative blood lipid level. The clinical data and the incidence of postoperative AKI within 7 days after surgery were compared between the two groups. Univariate analysis and binary Logistic regression analysis were used to evaluate the effect of preoperative HDL-C concentration on postoperative AKI. Results: Among the 903 patients included, 326 cases in the low level HDL-C group (36.1%) and 577 cases (63.9%) in the normal level HDL-C group. 351 cases (38.9%) had AKI after cardiac surgery with CPB, of which 156 cases (47.9%) in the low level HDL-C group and 195 cases (33.8%) in the normal level HDL-C group, and the difference was statistically significant (P<0.001). Compared with the normal level HDL-C group, the incidence of postoperative AKI in the low level HDL-C group was higher (P<0.001), and the ventilator use time, the duration of ICU and the length of stay were prolonged (P<0.001). After adjusted for age, gender, comorbidities (hypertension, diabetes), anemia, hyperuricemia, hypoalbuminemia, proteinuria, preoperative renal function, preoperative cardiac function, preoperative coronary angiography, cardiopulmonary bypass time, aortic clamping time, type of cardiac surgery, postoperative hypotension and other influencing factors, binary Logistic regression analysis showed that preoperative low level HDL-C was an independent risk factor for AKI in patients after cardiac surgery with CPB (OR=1.413，95%CI 1.023~1.950，P=0.036). Conclusion: AKI is a common complication after cardiac surgery with CPB, and identify preoperative low HDL-C is an independent risk factor for AKI.

Objective: To investigate the clinical efficacy of Qianjin Weijing Decoction combined with acupuncture in treating elderly patients with aspiration pneumonia presenting with the phlegm-heat obstructing the lung syndrome, and to evaluate its impact on inflammatory indicators and prognosis. Methods: A total of 105 elderly patients with aspiration pneumonia admitted to our hospital between April 2022 and June 2023 were selected and randomly assigned to a control group (n=52) and a combination group (n=53). Both groups received conventional treatments, including fiberoptic bronchoscopic lavage and sputum suction, prevention and management of gastroesophageal reflux, oral care, and nutritional support. The control group received additional treatment with intravenous ceftazidime. The combination group received Qianjin Weijing Decoction and acupuncture in addition to the treatments administered to the control group. The therapeutic efficacy, levels of C-reactive protein (CRP) and procalcitonin (PCT), blood gas parameters, APACHE II scores, Clinical Pulmonary Infection Score (CPIS), number of recurrences within one year, time to disappearance of pulmonary rales, duration of cough, and results of blood and sputum cultures were compared between the two groups. Results: After treatment, the total effective rate was significantly higher in the combination group than in the control group (χ2=11.165, P<0.05). Post-treatment, the combination group exhibited significantly lower levels of CRP, PCT, arterial partial pressure of carbon dioxide (PaCO₂), APACHE II scores, and CPIS scores, and a significantly higher arterial partial pressure of oxygen (PaO₂) compared to the control group (P<0.05). Furthermore, the number of recurrences within one year, the time to disappearance of pulmonary rales, and the duration of cough were significantly lower in the combination group than in the control group (P<0.05). The total number of bacterial strains identified in blood and sputum cultures post-treatment was also significantly lower in the combination group (χ²=9.535, P<0.05). Conclusion: For elderly patients with aspiration pneumonia, the addition of Qianjin Weijing Decoction and acupuncture to standard antibiotic therapy can more effectively improve oxygenation, alleviate the inflammatory response, relieve clinical symptoms, and reduce the recurrence rate.

Objective: To explore the effect of citalopram combined with mirtazapine on sleep regulation and relief of depressive symptoms in patients with sleep disorders caused by depression. Methods: 100 cases of patients with sleep disorders caused by depression who were admitted to our hospital from June 2023 to June 2025 were selected, they were according to the digital random table method divided into two groups , 50 cases in the control group were treated alone with citalopram, 50 cases in the observation group were treated with citalopram and mirtazapine，the sleep regulation effects, relief effects of depressive symptoms, overall therapeutic effects and adverse reactions of the two groups were compared. Results: In the observation group, the total score of the pittsburgh sleep quality index (PSQI) after treatment was (9.89±1.21) points, which was lower than (12.68±1.08) points that of the control group (P<0.05). In the observation group, the scores of the 17-item hamilton depression scale (HAMD-17) after treatment were (11.38±1.20) points，the clinical overall impression scale-severity of Illness (CGI-S) was (3.32±0.42) points，which were lower than (13.49±1.12) points and (4.11±0.45) points in the control group (P<0.05). In the observation group, the total effective rate (94.00%) was higher than control group (80.00%) (P<0.05). There was no statistically significant difference in adverse reactions between the observation group (6.00%) and the control group (4.00%) (P>0.05). Conclusion: When treating sleep disorders caused by depression, the combined use of escitalopram oxalate and mirtazapine can further enhance the effect of sleep regulation and relief of depressive symptoms, achieving a good overall therapeutic effect and having ideal safety.

Selective serotonin reuptake inhibitors (SSRIs) have been widely used in clinical first-line treatment of depression. SSRIs exert their antidepressant effects by activating the 5-hydroxytryptamine (5-HT) receptors and regulating the release levels of 5-HT in the brain region. Whereas the chemical structures of SSRIs are different, resulting in the differences of metabolites in vivo and the adverse reactions caused by SSRIs. Adverse reactions such as gastrointestinal function, nervous system and sexual dysfunction caused by SSRIs are related to the five internal organs disorders of body’s. Traditional Chinese medicine believes that the treatment of diseases should be combined with treatment, eliminating diseases without damaging the body and restoring the physiological function of patients. As a classic prescription of traditional Chinese medicine, Xiaoyaosan has the effects of soothing liver and relieving depression, invigorating spleen and nourishing blood. Xiaoyaosan combined with SSRIs individualized medication can not only improve the antidepressant effect, but also reduce the adverse reactions caused by SSRIs. Therefore, according to the individual differences of patients with depression, Xiaoyaosan combined with suitable selective serotonin reuptake inhibitors was selected to treat depression. This article reviews the pharmacology of SSRIs, the efficacy of Xiaoyaosan and individualized medication in treating depression in recent years, providing a new perspective for the treatment of depression.

Depression is a complex mental health disorder, often involving abnormal emotional regulation and cognitive impairments, marked by high recurrence rates, significant functional impairment, and challenges in achieving clinical remission. Exploring novel therapeutic strategies derived from natural products holds significant clinical value in tackling issues like poor tolerance and withdrawal symptoms linked to traditional antidepressants. Sinomenine (SIN) is a benzylisoquinoline alkaloid extracted from plants like Sinomenium acutum, and its unique anti-inflammatory and immuneregulating properties offer a new approach for treating depressive disorders. Recently, there's been a lot of research on using SIN to treat depression. This article looks at how SIN works as an antidepressant by examining neurotransmitter systems, neuroinflammatory responses, neurotrophic factors, neuroplasticity, and epigenetic regulation, offering a theoretical foundation for further research and the development of new antidepressant drugs, along with insights for clinical use.