Objective To investigate CT and MRI imaging of Warthin tumor of parotid gland.Methods CT and MRI character-istics of 5 1 patients confirmed as Warthin tumor by operation and pathology were analyzed retrospectively.Results Among 5 1 cases, 43 patients were males,and 8 patients were females.A total of 84 lesions were found in all cases,20 cases had at least 2 lesions.The margins of lesions were well-defined.68 lesions were round or elliptical.45 lesions located in the posterior and inferior quadrant of the parotid gland completely or premodinantly.The density and signal of most lesions were homogeneous.The parenchymal area of most lesions showed an early moderate-remarkable enhancement.Small blood vessels surrounded the lesions in 1 9 cases.Conclusion CT and MRI are important and valuable for the diagnosis of Warthin tumor.

Background and Objectives: The search for a suitable alternative for urethral defect is a challenge in the field of urethral tissue engineering. Induced pluripotent stem cells (iPSCs) possess multipotential for differentiation. The in vitro derivation of urothelial cells from mouse-iPSCs (miPSCs) has thus far not been reported. The purpose of this study was to establish an efficient and robust differentiation protocol for the differentiation of miPSCs into urothelial cells. Methods: and Results: Our protocol made the visualization of differentiation processes of a 2-step approach possible. We firstly induced miPSCs into posterior definitive endoderm (DE) with glycogen synthase kinase-3β (GSK3β) inhibitor and Activin A. We investigated the optimal conditions for DE differentiation with GSK3β inhibitor treatment by varying the treatment time and concentration. Differentiation into urothelial cells, was directed with all-trans retinoic acid (ATRA) and recombinant mouse fibroblast growth factor-10 (FGF-10). Specific markers expressed at each stage of differentiation were validated by flow cytometry, quantitative real-time polymerase chain reaction (qRT-PCR) assay, immunofluorescence staining, and western blotting Assay. The miPSC-derived urothelial cells were successfully in expressed urothelial cell marker genes, proteins, and normal microscopic architecture. Conclusions We built a model of directed differentiation of miPSCs into urothelial cells, which may provide the evi-dence for a regenerative potential of miPSCs in preclinical animal studies.

Chinese herbal piece is an important component of the traditional Chinese medicine （TCM） system， and identifying their quality and grading can promote the development and utilization of Chinese herbal pieces. Utilizing deep learning for intelligent identification of Chinese herbal pieces can save time， effort， and cost， while also reasonably avoiding the constraints of human subjectivity， providing a guarantee for efficient identification of Chinese herbal pieces. In this study， a dataset containing 108 kinds of Chinese herbal pieces （14 058 images） was constructed，the basic YOLOv4 algorithm was employed to identify the 108 kinds of Chinese herbal pieces of our database The mean average precision （mAP） of the developed basic YOLOv4 model reached 85.3%. In addition， the receptive field block was introduced into the neck network of YOLOv4 algorithm， and the improved YOLOv4 algorithm was used to identify Chinese herbal pieces. The mAPof the improved YOLOv4 model achieved 88.7%， the average precision of 80 kinds of decoction pieces exceeded 80%， the average precision of 48 kinds of decoction pieces exceeded 90%. These results indicate that adding the receptive field module can help to some extent in the identification of Chinese herbal medicine pieces with different sizes and small volumes. Finally， the average precision of each kind of Chinese herbal medicine piece by the improved YOLOv4 model was further analyzed. Through in-depth analysis of the original images of Chinese herbal medicine pieces with low prediction average precision， it was clarified that the quantity and quality of original images of Chinese herbal medicine pieces are key to performing intelligent object detection. The improved YOLOv4 model constructed in this study can be used for the rapid identification of Chinese herbal pieces， and also provide reference guidance for the manual authentication of Chinese herbal medicine decoction pieces.

The development of famous classical formula compound preparations has been a research hotspot in recent years， carrying great expectations from the government， academia and industry. During the process of its research and development， it reflects many problems related to traditional Chinese medicine （TCM） industry and deserves deep consideration by the academic community. Based on the current status of development of famous classical formulas， this paper summarizes the key problems and made an in-depth analysis. The results show that three key issues should be paid attention. The first is the weakness of basic research in TCM， which affect the healthy development of TCM. The second is the understanding of development of famous classical formula compound preparations is not in-depth， and the formulation of relevant policies needs to be more reasonable. Thirdly， the expectation for the development of famous classical formula compound preparations is too high， which affects the research and development process of the compound preparations. It is hoped that the TCM industry can take this opportunity to face the problems， propose solutions， and form new breakthroughs to promote the development and progress of TCM.

ObjectiveTo explore the pretreatment methods to promote the enzymatic digestion and extraction of active ingredients from Magnoliae Officinalis Cortex dregs（MOCD）， and to provide a reference basis for the utilization of resource components in MOCD. MethodLiquid chromatography-mass spectrometry（LC-MS） was used for qualitative analysis of resource components in MOCD with an Agilent C₁₈ reversed-phase column（3.0 mm×100 mm， 2.7 µm） at the flow rate of 0.4 mL·min^-1， the mobile phase was water（A）-acetonitrile（B） for gradient elution（0-3 min， 25%-48%B； 3-6 min， 48%-59%B； 6-10 min， 59%-80%B； 10-20 min， 80%-90%B； 20-25 min， 90%B）， electrospray ionization（ESI） was employed with negative ion mode scanning and scanning range of m/z 50-1 200. A high performance liquid chromatography（HPLC）， which refered to the determination in the 2020 edition of Chinese Pharmacopoeia， was used for quantitative analysis of resource components in MOCD. Four kinds of pretreatment agents were used to separate the resource components from MOCD， and the mechanism of different pretreatment agents was investigated by field emission scanning electron microscopy（FESEM）， X-ray powder diffraction（XRD） and Fourier transform infrared spectroscopy（FT-IR）. ResultMagnolol， honokiol and lignocellulose were identified as the main resource components of MOCD by qualitative and quantitative analysis. Under the conditions of 1% NaOH， reaction temperature at 80 ℃ and reaction time of 60 min， the concentration of reducing sugar produced by the enzymatic hydrolysis was 32.18 g·L^-1， which was 79.8% higher than that of the untreated MOCD. After adding tween-80， the enzymatic hydrolysis time was reduced to 1/3 of the original time， the concentration of reducing sugar was increased by 102.0%. And the total recovery of magnolol and honokiol in the pretreatment solution was 69.23%. ConclusionMagnolol， honokiol and lignocellulosic components in MOCD are valuable for development and utilization， the combination of alkaline pretreatment and tween-80 can realize the recovery and utilization of these three resource components， which can provide a new idea for comprehensive utilization of resource components in MOCD.

ObjectiveTo establish the fingerprint of seven commercially available Yangyin Qingfei preparations， to quantitatively analyze the index components， to evaluate their quality uniformity with multivariate statistical analysis， and to explore the quality differences among different dosage forms. MethodA total of 33 batches of commercially available 7 kinds of Yangyin Qingfei preparations were analyzed by high performance liquid chromatography（HPLC）， the fingerprints were established and the common peaks were identified. Paeoniflorin， verbascoside， harpagoside， glycyrrhizic acid and paeonol were selected as the indicators of quality attributes to quantitatively analyze 33 batches of preparations. Based on the administration methods of Yangyin Qingfei preparations， the daily intake was calculated and the radar charts were poltted， and cluster analysis and principal component analysis were used to explore the quality differences of 7 kinds of Yangyin Qingfei preparations and the quality uniformity among different batches of the same dosage form. ResultThe similarity of fingerprints of 7 dosage forms was 0.248-0.956， suggesting that there were significant differences among different dosage forms of Yangyin Qingfei preparations， and a total of 15 common peaks were calibrated， of which peak 7， peak 8， peak 11， peak 13 and peak 15 were paeoniflorin， verbascoside， harpagoside， glycyrrhizic acid and paeonol， respectively. The radar plots showed that the average total daily intake of large honeyed pills and water honeyed pills was the highest， and the uniformity of pill components was better. The quality of 33 batches of samples was divided into poor quality and high quality by cluster analysis. Principal component analysis showed that the uniformity and dosage form of different dosage forms were significantly different， the oral liquid had the best quality homogeneity with the minimum dispersion. And the content of paeonol in different dosage forms was significantly different， which was the key component of quality control of Yangyin Qingfei preparations. ConclusionYangyin Qingfei large honeyed pills and water honeyed pills show high content and good uniformity， which are relatively preferred dosage forms. Different preparation processes have a great influence on the content of paeonol， and its quality control should be emphasized during production. This study provides a scientific method for the comparison of product quality of different dosage forms of traditional Chinese medicine prescriptions， which is helpful for the development of preferred dosage forms of different prescriptions， and provides a reference for efficient use of medication in the clinical practice.

Yigongsan is derived from Xiaoer Yaozheng Zhijue written by QIAN Yi in the Northern Song dynasty， which is the No. 3 formula in the Catalogue of Ancient Famous Classical Formulas（The Second Batch of Pediatrics） released by the National Administration of Traditional Chinese Medicine（TCM） in September 2022， and it can be developed as a class 3.1 new TCM drug. By referring to ancient medical books and modern literature， this study conducted herbal textual research on Yigongsan from five aspects， including historical evolution， origin and processing， dosage conversion， usage and preparation methods， and functional application， then formed the key information table of this formula， in order to provide reference for the development of reference samples and preparations of Yigongsan. Based on the results of the study， it is recommended that Panax ginseng should be removed the basal part of stem（rhizoma）， Poria cocos should be removed the peel， Citrus reticulata should be cut into shreds and Glycyrrhiza uralensis should be used. According to 4.13 g/Qian（钱）， 1 g/slice for ginger， 3 g for each jujube and 300 mL/Zhan（盏）， the doses of Ginseng Radix， Poria， Atractylodis Macrocephalae Rhizoma， Glycyrrhizae Radix et Rhizoma， Citri Reticulatae Pericarpium， Zingiberis Rhizoma Recens， Jujubae Fructus were 1.652， 1.652， 1.652， 1.652， 1.652， 5， 6 g， and the total amount was 19.26 g. The decocting method was to crush the medicinal materials into fine powder with 50-80 mesh， add 300 mL of water and decoct to 210 mL for each dose， then remove the dregs and take it warmly. This formula was recorded in ancient books as the main treatment for the cold-deficiency of spleen and stomach， and Qi stagnation in children with vomiting and diarrhea and lack of appetite. It has been flexibly applied by later generations of physicians， and is often used to treat anorexia， inflammation of the digestive tract， diarrhea and other diseases in children.