OBJECTIVE To analyze the potential adverse drug interactions based on pharmacokinetics （PK-pADIs） of gefitinib， and establish its corresponding prescription review rules. METHODS Outpatient prescriptions of gefitinib combination therapy in our hospital from January 1， 2022 to November 30， 2024 were collected through rational drug software system. PK- pADIs present in the prescriptions were identified based on the Drugs.com® drug interactions database. The specific combination drugs and cases of PK-pADIs were statistically analyzed， and prescription review rules were established according to the severity classification of PK-pADIs. RESULTS & CONCLUSIONS A total of 217 prescriptions of gefitinib combination therapy were enrolled. Among them， 28 prescriptions （12.90%）， involving a total of 28 patients， had 29 cases of PK-pADIs， with respiratory medicine prescriptions （22 prescriptions） being the main type. The combination drugs included proton pump inhibitors （13 cases）， strong cytochrome P450 3A4 （CYP3A4） inhibitors （7 cases）， H2 receptor antagonists （4 cases）， CYP3A4 inducers （3 cases）， and CYP2D6 substrates （2 cases）. The severity classifications for these interactions were severe， moderate， severe， moderate and moderate， respectively. Based on the above severity classification of PK-pADIs， four prescription review rules had been established as follows： when gefitinib was combined with acid-suppressing drugs， it should be subject to “manual review”； when gefitinib was combined with dexamethasone， metoprolol， or strong CYP3A4 inhibitors， an “alert” should be triggered， and the physician should be informed via an alert box to strengthen the monitoring of relevant indicators. Clinical pharmacists need to conduct in-depth training on knowledge related to gefitinib drug interactions in key clinical departments such as respiratory medicine. They should strengthen the monitoring and guidance of rational drug use for patients who are on long-term gefitinib therapy， and promptly identify and intervene in PK-pADIs， thereby enhancing the rationality， safety， and effectiveness of clinical drug use.

Objective To analyze the characteristics of time in range(TIR)and its relationship with oxidative stress(OS)and insulin resistance status(HOMA-IR)in patients with type 2 diabetes mellitus(T2DM)and sleep apnea-hypopnea syndrome(OSAHS).Methods According to apnea-hypopnea index(AHI),165 T2DM in patients were divided into simple T2DM group(AHI<5 times/h,n=43),T2DM combine OSAHS mild group(OSAHS-G,5≤AHI<15 times/h,n=51),T2DM combined OSAHS moderate group(OSAHS-M,15≤AHI≤30 times/h,n=40)and T2DM combine OSAHS severe group(OSAHS-S,AHI>30 times/h,n=31).TIR was calculated by dynamic blood glucose monitoring.Superoxide dismutase(SOD),glutathione peroxidase(GSH-Px)and other indexes were detected and analyzed.Results Compared with simple T2DM group,the levels of HOMA-IR,8-iso-PGF2a and Ox-LDL were higher in T2DM combined OSAHS-G,OSAHS-M or OSAHS-S group,while the levels of TIR,SOD and GSH-Px were lower(P<0.05).Pearson correlation analysis showed that TIR was positively correlated with the levels of SOD and GSH-Px(P<0.05 or P<0.01),and negatively correlated with the levels of 8-iso-PGF2a,Ox-LDL,HbA1c,HOMA-IR and the severity of OSAHS(P<0.01).Logistic regression analysis showed that TIR,SOD and GSH-Px were protective factors for severe OSAHS in T2DM patients,while 8-iso-PGE2a and Ox-LDL were the risk factors for severe OSAHS.Conclusions The glucose level fluctuates greatly in patients with T2DM and OSAHS.Insulin resistance and oxidative stress are factors that affect the normalization of TIR.

Objective:To investigate the risk factors of lower extremity deep venous thrombosis (LEDVT) in patients with sepsis during hospitalization in intensive care unit (ICU), and to construct a nomogram prediction model of LEDVT in sepsis patients in the ICU based on the critical care scores combined with inflammatory markers, and to validate its effectiveness in early prediction.Methods:726 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2015 to December 2021 were retrospectively included as the training set to construct the prediction model. In addition, 213 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2022 to June 2023 were retrospectively included as the validation set to verify the performance of the prediction model. Clinical data of patients were collected, such as demographic information, vital signs at the time of admission to the ICU, underlying diseases, past history, various types of scores within 24 hours of admission to the ICU, the first laboratory indexes of admission to the ICU, lower extremity venous ultrasound results, treatment, and prognostic indexes. Lasso regression analysis was used to screen the influencing factors for the occurrence of LEDVT in sepsis patients, and the results of Logistic regression analysis were synthesized to construct a nomogram model. The nomogram model was evaluated by receiver operator characteristic curve (ROC curve), calibration curve, clinical impact curve (CIC) and decision curve analysis (DCA).Results:The incidence of LEDVT after ICU admission was 21.5% (156/726) in the training set of sepsis patients and 21.6% (46/213) in the validation set of sepsis patients. The baseline data of patients in both training and validation sets were comparable. Lasso regression analysis showed that seven independent variables were screened from 67 parameters to be associated with the occurrence of LEDVT in patients with sepsis. Logistic regression analysis showed that the age [odds ratio ( OR) = 1.03, 95% confidence interval (95% CI) was 1.01 to 1.04, P < 0.001], body mass index (BMI: OR = 1.05, 95% CI was 1.01 to 1.09, P = 0.009), venous thromboembolism (VTE) score ( OR = 1.20, 95% CI was 1.11 to 1.29, P < 0.001), activated partial thromboplastin time (APTT: OR = 0.98, 95% CI was 0.97 to 0.99, P = 0.009), D-dimer ( OR = 1.03, 95% CI was 1.01 to 1.04, P < 0.001), skin or soft-tissue infection ( OR = 2.53, 95% CI was 1.29 to 4.98, P = 0.007), and femoral venous cannulation ( OR = 3.72, 95% CI was 2.50 to 5.54, P < 0.001) were the independent influences on the occurrence of LEDVT in patients with sepsis. The nomogram model was constructed by combining the above variables, and the ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the occurrence of LEDVT in patients with sepsis was 0.793 (95% CI was 0.746 to 0.841), and the AUC in the validation set was 0.844 (95% CI was 0.786 to 0.901). The calibration curve showed that its predicted probability was in good agreement with the actual probabilities were in good agreement, and both CIC and DCA curves suggested a favorable net clinical benefit. Conclusion:The nomogram model based on the critical illness scores combined with inflammatory markers can be used for early prediction of LEDVT in ICU sepsis patients, which helps clinicians to identify the risk factors for LEDVT in sepsis patients earlier, so as to achieve early treatment.

Objective:To evaluate the role of Z-DNA-binding protein 1 (ZBP1)/receptor-interacting protein kinase 1 (RIPK1) signaling pathway in lipopolysaccharide (LPS)-adenosine triphosphate (ATP)-induced pyroptosis in macrophages of mice.Methods:The RAW264.7 macrophages from mice were routinely cultured and divided into 6 groups ( n=9 each) using a random number table method: control group (group C), LPS-ATP group, LPS-ATP+ transfection negative control scRNA group (group LPS-ATP+ scRNA), LPS-ATP+ ZBP1 small interference RNA group (group LPS-ATP+ siRNA), LPS-ATP+ dimethyl sulfoxide group (group LPS-ATP+ DSMO), and LPS-ATP+ RIPK1 inhibitor nec-1 group (group LPS-ATP+ nec-1). The siRNA technique was used to inhibit the expression of ZBP1 in group LPS-ATP+ siRNA. The RIPK1 inhibitor nec-1 was given to inhibit the expression of RIPK1 protein in group LPS-ATP+ nec-1. Group C was routinely cultured. Cells were incubated with 10 μg/ml LPS for 24 h, then 5 mmol/L ATP was added, and the cells were incubated for 30 min to develop the cell pyroptosis model in the remaining 5 groups. The cell survival was detected by the CCK-8 assay. The concentrations of interleukin-1beta (IL-1β), IL-6, IL-18 and tumor necrosis factor-alpha (TNF-α) in cell supernatant were determined by enzyme-linked immunosorbent assay. The pyroptosis was determined by propidium iodide fluorescence staining. Western blot was used to detect the expression of ZBP1, RIPK1, caspase-1 and GSDMD. Results:Compared with group C, the cell survival rate was significantly decreased, the cell pyroptosis rate and concentrations of IL-1β, IL-6, IL-18 and TNF-α in the supernatant were increased, and the expression of ZBP1, RIPK1, caspase-1 and GSDMD was up-regulated in group LPS-ATP ( P<0.05). Compared with group LPS-ATP, no significant change was found in the parameters mentioned above in group LPS-ATP+ scRNA and group LPS-ATP+ DSMO ( P>0.05). Compared with group LPS-ATP+ scRNA, the cell survival rate was significantly increased, the cell pyroptosis rate and concentrations of IL-1β, IL-6, IL-18 and TNF-α in the supernatant were decreased, and the expression of ZBP1, RIPK1, caspase-1 and GSDMD was down-regulated in group LPS-ATP+ siRNA ( P<0.05). Compared with group LPS-ATP+ DMSO, the cell survival rate was significantly increased, the cell pyroptosis rate and concentrations of IL-1β, IL-6, IL-18 and TNF-α in the supernatant were decreased, the expression of ZBP1, caspase-1 and GSDMD was down-regulated ( P<0.05), and no significant change was found in the expression of ZBP1 in group LPS-ATP+ nec-1 ( P>0.05). Conclusions:Activation of ZBP1/RIPK1 signaling pathway is involved in LPS-ATP-induced pyroptosis in macrophages of mice.

Objective:To evaluate the relationship between inositol-requiring enzyme 1α-X box-binding protein 1 (IRE1α-XBP1) signaling pathway in endoplasmic reticulum and neutrophil extracellular traps during endotoxin-induced acute lung injury (ALI) in mice.Methods:Forty-eight SPF healthy male C57BL/6 mice, aged 6-8 weeks, weighing 25-30 g, were divided into 4 groups ( n=12 each) using a random number table method: control group (C group), STF-083010 group (ST group), lipopolysaccharide (LPS)-induced ALI group (ALI group) and LPS-induced ALI + STF-083010 group (ALI+ ST group). The ALI model was established by inhaling aerosolized LPS in ALI group and ALI+ ST group. The equal volume of aerosolized normal saline was inhaled in C and ST groups. IRE1α inhibitor STF-083010 50 mg/kg was intraperitoneally injected at 1 h before developing the model in ST and ALI+ ST groups, and the equal volume of normal saline was intraperitoneally injected in the other two groups. The mice were sacrificed after anesthesia at 24 h after developing the model. Bronchoalveolar lavage fluid (BALF) and lung tissues were collected for determination of the pathological changes (by light microscopy) which were scored, wet/dry lung weight (W/D) ratio, concentrations of interleukin-1beta (IL-1β), IL-18 and myeloperoxidase (MPO) in the BALF supernatant, and expression of phosphorylated IRE1α(p-IRE1α), XBP1s and citrullinated histone H3 (Cit H3) in lung tissues (using Western blot). Results:Compared to group C, the lung injury scores and W/D ratio were significantly increased at 24 h after developing the model, the concentrations of IL-1β, IL-18 and MPO in BALF were increased, and the expression of p-IRE1α, XBP1s and Cit H3 in lung tissues was up-regulated in ALI and ALI+ ST groups. Compared to group L, the lung injury scores and W/D ratio were significantly decreased at 24 h after developing the model, the concentrations of IL-1β, IL-18 and MPO in BALF were decreased, and the expression of p-IRE1α, XBP1s and Cit H3 in lung tissues was down-regulated in group ALT+ ST ( P<0.05). Conclusions:The IRE1α-XBP1 signaling pathway in endoplasmic reticulum is involved in endotoxin-induced ALI by up-regulating the expression of neutrophil extracellular traps in mice.

ObjectiveTo explore the immediate and short-term effects of pressure biofeedback therapy combined with Flexi-bar exercise in the sitting position on chronic non-specific low back pain (CNSLBP). MethodsFrom June to September, 2022, 27 CNSLBP students in Xuzhou Medical University and other universities around were randomly divided into pressure biofeedback unit (PBU) group (n = 9), Flexi-bar group (n = 9) and combined group (n = 9). On the basis of routine rehabilitation guidance, the PBU group accepted pressure biofeedback therapy, the Flexi-bar group accepted active vibration therapy, and the combined group accepted pressure biofeedback therapy and active vibration therapy, for three weeks. They were measured core stability with Stabilizer, lumbar joint repositioning error (LJRE) with iHandy, and bilateral transverse abdominis thickness and multifidus muscle cross-sectional area with ultrasonography; and assessed with Visual Analogue Scale for pain (VAS), Oswestry Disability Index (ODI) before and after treatment; and the core stability were measured immediately after the first treatment. ResultsThe indexes of core stability improved after the first treatment (|t| > 3.000, P < 0.05) in all groups, and improved the most in the combined group (F > 10.909, P < 0.001). All the indexes improved after three weeks of treatment (|t| > 2.604, P < 0.05), except for LJRE in PBU group; and they were the best in the combined group (|F| > 4.061, P < 0.05), except LJRE was not significantly different from the Flexi-bar group (P > 0.05). ConclusionPressure biofeedback therapy combined with Flexi-bar exercise in the sitting position can more effectively improve core stability and core muscles, proprioception, and pain for patients with CNSLBP.

Objective:To evaluate the effect of sitagliptin on the expression of airway mucin 5AC (MUC5AC) in mice with endotoxin-induced lung injury.Methods:Thirty-six healthy male SPF C57BL/6 mice, aged 6-8 weeks, weighing 20-25 g, were divided into 3 groups ( n=12 each) using a random number table method: control group (group C), endotoxin-induced lung injury group (group L), and endotoxin-induced lung injury+ sitagliptin group (group S). Lipopolysaccharide (LPS) 3 mg/kg was intratracheally infused to prepare endotoxin-induced lung injury model in L and S groups, while the equal volume of normal saline was given instead in group C. Sitagliptin 100 mg/kg was intraperitoneally injected at 1 h before LPS infusion in group S, and normal saline was intraperitoneally injected at 1 h before endotracheal infusion in C and L groups. The arterial blood samples from femoral artery were taken at 24 h of LPS or normal saline infusion for measurement of PaO 2 and glucose levels.The mice were then sacrificed, and broncho-alveolar lavage fluid (BALF) and lung tissues were collected for determination of the concentrations of interleukin-6 (IL-6), interleukin-1beta (IL-1β), and tumor necrosis factor-alpha (TNF-α)in serum and BALF (by enzyme-linked immunosorbent assay), wet/dry weight ratio (W/D ratio), expression of MUC5AC (by immunohistochemistry and immunohistochemical comprehensive score), and expression of MUC5AC mRNA in lung tissues (by quantitative real-time polymerase chain reaction) and for examination of the pathological changes of lung tissues (using haematoxylin and eosin staining) which were scored. Results:Compared with group C, PaO 2 was significantly decreased, the glucose levels, W/D ratio and lung injury score were increased, the concentrations of IL-6, IL-1β and TNF-α in serum and BALF were increased, and the expression of MUC5AC mRNA in lung tissues was up-regulated in L and S groups( P<0.05). Compared with group L, PaO 2 was significantly increased, the glucose levels, W/D ratio and lung injury score were decreased, the concentrations of IL-6, IL-1β and TNF-α in serum and BALF were decreased, and the expression of MUC5AC mRNA in lung tissues was down-regulated in group S( P<0.05). Conclusions:The mechanism by which sitagliptin alleviates endotoxin-induced lung injury is related to down-regulation of MUC5AC expression in mice.

Objective:To evaluate the role of inositol-requiring kinase 1α-X-box binding protein 1 (IRE1α/XBP1) signaling pathway in endoplasmic reticulumin in endotoxin-induced acute lung injury (ALI) in mice and the relationship with NOD-like receptor pyrin domain containing 3 (NLRP3) inflammasomes.Methods:Thirty-six SPF-grade healthy male C57BL/6 mice, aged 6-8 weeks, weighing 25-30 g, were divided into 3 groups ( n=12 each) according to the random number table method: control group (group C), endotoxin-induced ALI group (group ALI) and endotoxin-induced ALI+ STF-083010 group (group ST). The ALI model was established by inhaling nebulized lipopolysaccharide (LPS) 3 mg/ml for 30 min in ALI and ST groups, while the equal volume of nebulized normal saline was given in group C. IRE1α/XBP1 signaling pathway inhibitor STF-083010 50 mg/kg was intraperitoneally injected at 1 h before inhaling LPS in group ST, while the remaining two groups received the equal volume of normal saline intraperitoneally. Mice were sacrificed at 24 h after inhaling nebulized LPS or normal saline, bronchoalveolar lavage fluid (BALF) were collected and lung tissues were removed for microscopic examination of the pathological changes (by HE staining) which were scored and for determination of wet/dry lung weight ratio (W/D ratio), concentrations of interleukin-1beta (IL-lβ) and IL-18 in BALF (by enzyme-linked immunosorbent assay) and expression of phosphorylated IRE1α (p-IRE1α), XBP1s, NLRP3, ASC and caspase-1 in lung tissues (by Western blot). Results:Compared with group C, the W/D ratio, lung injury score and concentrations of IL-1β and IL-18 in BALF were significantly increased, and the expression of p-IRE1α, XBP1s, NLRP3, ASC and caspase-1 in lung tissues was up-regulated in group ALI and group ST ( P<0.001). Compared with group ALI, the W/D ratio, lung injury score and concentrations of IL-1β and IL-18 in BALF were significantly decreased, and the expression of p-IRE1α, XBP1s, NLRP3, ASC and caspase-1 protein in lung tissues was down-regulated in group ST ( P<0.001). Conclusions:IRE1α/XBP1 signaling pathway is involved in LPS-induced ALI in mice, and the mechanism is related to activation of NLRP3 inflammasomes.

ObjectiveTo investigate the feasibility of applying electronic nose technology to rapidly identify Bletillae Rhizoma and its approximate decoction pieces. MethodA total of 134 batches of Bletillae Rhizoma and its approximate decoction pieces， including 45 batches of Bletillae Rhizoma， 30 batches of Gastrodiae Rhizoma， 30 batches of Polygonati Odorati Rhizoma and 29 batches of Bletillae Ochraceae Rhizoma， were collected as test samples. The olfactory sensory data of the samples were collected by PEN3 electronic nose as the independent variable（X）. Based on the identification results of the 2020 edition of Chinese Pharmacopoeia and local standards， as well as the high performance liquid chromatography（HPLC） fingerprint and original purchase information of 134 batches of the decoction pieces， the benchmark data Y of the identification model were obtained， and four chemometric methods of principal component analysis-discriminant analysis（PCA-DA）， partial least squares-discriminant analysis（PLS-DA）， least square-support vector machine（LS-SVM） and K-nearest neighbor（KNN） were used to establish the binary identification model for 45 batches of Bletillae Rhizoma and 89 batches of non-Bletillae Rhizoma and the quadratic identification model of the four kinds of decoction pieces， that is， Y=F（X）. ResultAfter leave-one-out cross validation， the positive discrimination rates of the above four models were 97.01%， 97.01%， 98.51% and 97.01% in the binary identification， and 97.76%， 89.55%， 98.51% and 97.01% in the quadratic identification， respectively. The highest positive discrimination rate could reach 98.51% for the binary and quadratic identification models， and LS-SVM algorithm is both the optimal one， the most suitable kernel functions were chosen as radial basis function and linear kernel function， respectively. The optimal models discriminated well with no unclassified samples. ConclusionElectronic nose technology can accurately and rapidly identify Bletillae Rhizoma and its approximate decoction pieces， which can provide new ideas and methods for rapid quality evaluation of other decoction pieces.

In order to standardize the quality control of traditional Chinese medicine（TCM） dispensing granules， the Chinese Pharmacopoeia Commission has promulgated and implemented 200 national drug standards for TCM dispensing granules， but there are still varieties of TCM dispensing granules without unified standards. Many provinces have actively invested in the formulation of provincial standards for TCM dispensing granules to make up for the gaps in standards for varieties of traditional Chinese medicine dispensing granules other than the national standards. By the end of July 2022， 29 provincial-level administrative regions have successively promulgated and implemented a total of 5 602 provincial standards for TCM dispensing granules， involving more than 400 varieties. In order to better understand the formulation and characteristics of provincial standards， this study took 105 provincial standards that have been promulgated and implemented in Henan province as an example， and comprehensively analyzed the formulation and characteristics through quality control indicators such as dry extract rate of raw materials， contents of index components and their transfer rates， specifications and so on. The formulation and characteristics of the same TCM dispensing granules in the provincial standards of different provinces were further analyzed， in order to provide reference for the formulation of provincial standards of TCM dispensing granules and the implementation of national standards.