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Objective: To analyze the pathological classification of malignant peritoneal mesothelioma (MPeM) and screen the immunohistochemical markers that can distinguish MPeM from peritoneal metastatic carcinoma (PC) . Methods: In June 2020, the pathological results of peritoneal biopsy of 158 MPeM and 138 PC patients from Cangzhou Central Hospital, Cangzhou People's Hospital, and Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine from May 2011 to July 2019 were retrospectively analyzed, and the pathological classifications of MPeM in Cangzhou were summarized. Immunohistochemical markers of MPeM and PC patients were analyzed, and receiver operating characteristic curve (ROC curve) was drawn for differential diagnosis of MPeM and PC. Results: There were 55 male and 103 female MPeM patients in Cangzhou, with an average age of 57.1 years old. The asbestos exposure rate was 91.14% (144/158). The most common pathological classifications were cutaneous type, accounting for 90.51% (143/158). There were significant differences in the expression of calreticulum protein, CK5/6, vimentin, D2-40, carcinoembryonic antigen (CEA) and tail type homologous nuclear gene transcription factor 2 (CDX-2) between MPeM and PC (P<0.05). Among the 6 positive markers, the sensitivity of calreticulum protein was the highest (0.905) and CEA was the lowest (0.428) . Conclusion: Calreticulum protein, CK5/6, vimentin, D2-40, CEA and CDX-2 may be used as specific markers to distinguish the diagnosis of MPeM from PC.
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Objective: To optimize the prescription process of curcumin-piperine polymeric compound micelles (Cur/Pip F127/P123-PM) by central composite design-response surface method. Methods: The content of curcumin and piperine was determined by UPLC. The Cur/Pip F127/P123-PM was prepared by thin film hydration method. Based on the single factor test, the dosage, the mass ratio of F127 and the volume of water were used as independent variables, and the drug loading and entrapment efficiency of curcumin, entrapment efficiency of piperine and the micelle size were dependent variables, and next central composite design-response surface method of three factors and five levels was carried out. The analysis results showed and verified the optimal prescription. Finally, the optimal lyophilization conditions of the micelle preparation were initially screened. Results: The optimal preparation process was as follow: the dosage of curcumin and piperine was 12.96 mg and 0.69 mg, respectively; The mass ratio of F127 was 0.46, and the volume of water was 8.85 mL. The compound curcumin micelles prepared by the optimum formulation had the loading capacity of 5.63%, solubility of 1.27 mg/mL and entrapment rate of curcumin was 86.86%. The entrapment rate of piperine was 77.54%; The micelle size was 66.79 nm and the Zeta potential was close to zero. The lyophilized products prepared by using 8% mannitol as a protective agent had a good redispersion. Conclusion: The model established by central composite design-response surface method can be used to optimize the prescription of compound curcumin micelles, and the method had a high accuracy and good predictability advantage.
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Objective::To established fingerprint of Acanthopanacix Cortex by UPLC method, in order to provide reference for quality control and evaluation. Method::UPLC method was performed on Waters BEH C18 (2.1 mm×100 mm, 1.7 μm), with acetonitrile-0.1% glacial acetic acid as the mobile phase for gradient elution.The detection wavelength was 282 nm, the flow rate was 0.3 mL·min-1, the column temperature was 25 ℃, and the injection volume was 2 μL.With syringin as reference substance, the fingerprint of 20 batches Acanthopanacix Cortex were analyzed under the same chromatographic conditions.The Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Media (version 2012) was used to analyze the similarity of 20 batches of Acanthopanacix Cortex, and the SPSS 21.0 was applied for cluster analysis. Result::The UPLC fingerprint of the Acanthopanacix Cortex was established.The similarity results showed that the 7 batches of the 20 batches of Acanthopanacix Cortex was less than 0.800, and the remaining medicinal materials were similar within the range from 0.800 to 0.924.Besides, 12 common fingerprint peaks were calibrated and 4 components were identified, namely protocatechuic acid (peak 1), chlorogenic acid (peak 3), syringin (peak 4), and 4-methoxysalicylaldehyde (peak 12). The clustering results showed that the 20 batches of Acanthopanacix Cortex were divided into four groups.Among these batches, S1, S3, S9, S13 and S20 were clustered into one category, S11 was a category, S14 was a category, and the remaining samples belonged to a category. Conclusion::With a good precision, repeatability and stability, short analysis time as well as superior specificity, the method will provide a scientific basis to evaluate and control the quality of Acanthopanacix Cortex.