OBJECTIVES: To explore the active components that mediate the therapeutic effect of Centella asiatica on psoriasis and their therapeutic mechanisms. METHODS: TCMSP, TCMIP, PharmMapper, Swiss Target Prediction, GeneCards, OMIM and TTD databases were searched for the compounds in Centella asiatica and their targets and the disease targets of psoriasis. A drug-active component-target network and the protein-protein interaction network were constructed, and DAVID database was used for pathway enrichment analysis. In a RAW264.7 macrophage model of LPS-induced inflammation, the anti-inflammatory effect of 7.5, 15, 30, and 60 μmol/L quercetin, asiaticoside, and asiatic acid, which were identified as the main active components in Centella asiatica, were tested by measuring cellular production of NO, TNF‑α and IL-6 using Griess method and ELISA and by detecting mRNA expressions of IL-23, IL-17A, TNF-α and IL-6 and protein expressions of p-STAT3 (Tyr705) and p-STAT3 (Ser727) with RT-qPCR and Western blotting. RESULTS: A total of 139 targets of Centella asiatica and 4604 targets of psoriasis were obtained, and among them CASP3, EGFR, PTGS2, and ESR1 were identified as the core targets. KEGG analysis suggested that quercetin, asiaticoside, and asiatic acid in Centella asiatica were involved in cancer and IL-17 and MAPK signaling pathways. In the RAW264.7 macrophage model of inflammation, treatment with quercetin significantly reduced cellular production of NO, TNF‑α and IL-6, and lowered mRNA expressions of IL-23, IL-17A, TNF‑α and IL-6 and protein expressions of p-STAT3 (Tyr705) and p-STAT3 (Ser727). CONCLUSIONS Quercetin, asiaticoside and asiatic acid are the main active components in Centella asiatica to mediate the therapeutic effect against psoriasis, and quercetin in particular is capable of suppressing cellular production of NO, TNF‑α and IL-6 and regulating the IL-23/IL-17A inflammatory axis by mediating STAT3 phosphorylation to inhibit inflammatory response.
Quercetin/pharmacology* ; Psoriasis/metabolism* ; STAT3 Transcription Factor/metabolism* ; Mice ; Animals ; Centella/chemistry* ; Triterpenes/pharmacology* ; Phosphorylation ; Interleukin-17/metabolism* ; Interleukin-23/metabolism* ; RAW 264.7 Cells ; Pentacyclic Triterpenes/pharmacology* ; Macrophages/drug effects* ; Signal Transduction ; Plant Extracts

OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Objective To investigate the effect of dynamic monitoring of occlusal force on the final therapeutic effect and the change of periodontal supporting tissue during combined periodontal orthodontic treatment.Methods The periodontal clinical index of 20 patients with traditional periodontal orthodontic treatment and 20 patients with combined periodontal orthodontic treatment assisted by T-Scan Ⅲ and Anycheck digital occlusion analysis system were compared before,during and after treatment,as well as the changes of bite force,bite time and tooth mobility in the experimental group.Results The depth of periodontal pocket(PD),loss of attachment(AL),bleeding index(BI)and tooth looseness were significantly reduced after combined periodontal orthodontic treatment in both groups.In the control group,the percentage of anterior and posterior biting force changed obviously,and the occlusion force balance was improved.Conclusion The combined treatment of periodontitis and orthodontics can improve the periodontal tissue of patients with periodontitis,and T-Scan system can observe and guide the adjustment of occlusal and better achieve occlusion force balance.

Myocardial ischemia-reperfusion injury （MIRI） is a common injury in the treatment of ischemic heart diseases. MIRI can be categorized as chest impediment and palpitation in traditional Chinese medicine， with the pathogenesis related to Qi and blood disharmony. The simultaneous disorders of Qi and blood are the key mechanism of MIRI， and thus the differentiation of Qi and blood syndromes is the prerequisite for the treatment. The theory of Qi and blood interacting in vessels is proposed by our team based on Qi being the commander of blood and blood being the mother of Qi as well as previous pharmacological studies. Specifically， Qi marshals blood by vessels， and the blood carries Qi by vessels. Accordingly， Qi and blood interact in the vessels. MIRI is accompanied by mitochondrial dysfunction， platelet function abnormality， and vascular endothelial damage， which are correlated with Qi deficiency， blood stasis， and vessel damage， respectively. Mitochondrial， platelet， and vascular endothelial structural and functional changes triggered by their interactions are one of the mechanisms by which Qi deficiency， blood stasis， and vessel damage lead to the occurrence and development of MIRI. By exploring the correlations between Qi and mitochondria， between blood and platelets， and between vessels and blood vessels， we can explain the modern scientific content of the theory of Qi and blood interacting in vessels in traditional Chinese medicine. According to the pathogenesis of Qi and blood disharmony in vessels， we discussed the pharmacological mechanisms of Qi-replenishing medicines， blood-activating medicines， and their combinations in the prevention and treatment of MIRI. On the basis of the research achievements in the prevention and treatment of MIRI by Qi-replenishing and blood-activating Chinese medicines based on the theory of Qi and blood interacting in vessels， we analyzed the effects of these medicines on Qi， blood， and vessels. According to the theory of Qi and blood， this article reveals the theoretical basis and scientific connotations of the prevention and treatment of cardiovascular diseases， with the aim of providing new ideas and references for the clinical application of traditional Chinese medicine in the prevention and treatment of cardiovascular diseases.

Objective We propose a dual-domain cone beam computed tomography(CBCT)reconstruction framework DualCBR-Net based on improved differentiable domain transform for cone-angle artifact correction.Methods The proposed CBCT dual-domain reconstruction framework DualCBR-Net consists of 3 individual modules:projection preprocessing,differentiable domain transform,and image post-processing.The projection preprocessing module first extends the original projection data in the row direction to ensure full coverage of the scanned object by X-ray.The differentiable domain transform introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes,where the geometric parameters correspond to the extended data dimension to provide crucial prior information in the forward pass of the network and ensure the accuracy in the gradient backpropagation,thus enabling precise learning of cone-beam region data.The image post-processing module further fine-tunes the domain-transformed image to remove residual artifacts and noises.Results The results of validation experiments conducted on Mayo's public chest dataset showed that the proposed DualCBR-Net framework was superior to other comparison methods in terms of artifact removal and structural detail preservation.Compared with the latest methods,the DualCBR-Net framework improved the PSNR and SSIM by 0.6479 and 0.0074,respectively.Conclusion The proposed DualCBR-Net framework for cone-angle artifact correction allows effective joint training of the CBCT dual-domain network and is especially effective for large cone-angle region.

Classical swine fever(CSF),caused by classical swine fever virus(CSFV),is a severe in-fectious disease characterized by high fever and extensive bleeding,which is listed as a mandatory report disease by WOAH.As a single-stranded RNA envelope virus,CSFV has evolved a strategy for attachment and entry to the cell in the process of adapting to external environmental pressure.H owever,the underlying molecular mechanism remains largely unknown.Studies have shown that CSFV is mainly internalized through clathrin-mediated cross-membrane internalization and exists in the form of endosomes in the cytoplasm.Under certain conditions,the endosomal membrane fu-sion releases the genome for viral proliferation.At the same time,CSFV also depends on the inter-action with host proteins to inhibit the synthesis and secretion of host interferon,regulate host cell apoptosis,autophagy,pyroptosis and inflammatory response,and other life activities to evade the host's natural immunity,thus promoting the further replication of the virus in the host.However,the underlying specific mechanism needs further studying.Here,we summarize the molecular mechanism of CSFV internalization across cell membranes and the challenges of CSF prevention and control,with a view to providing theoretical assistance for CSF purification.

Purpose/Significance To construct a named entity corpus of traditional Chinese medicine(TCM)ancient records,and to improve the recognition accuracy and applicability of the general domain named entity recognition(NER)model in the field of TCM ancient records.Method/Process Annotation standards for entities in TCM ancient records are formulated,and 2 384 Xin'an medical records are annotated.A RoBERTa-BiLSTM-CRF model is developed,and word vectors with semantic features are generated using the RoBERTa pre-trained language model.The BiLSTM-CRF model is used to learn the global semantic features of sequences and decode and output the optimal label sequence.Dictionary and rule features are incorporated to enhance the model's capability to recognize entity boundaries and categories.Result/Conclusion The model shows a good recognition effect on the named entity corpus of Xin'an medical cases.Integration of domain terminology dictionaries and rule-based features improves the overall Fl score to 72.8％.

Objective We propose a dual-domain cone beam computed tomography(CBCT)reconstruction framework DualCBR-Net based on improved differentiable domain transform for cone-angle artifact correction.Methods The proposed CBCT dual-domain reconstruction framework DualCBR-Net consists of 3 individual modules:projection preprocessing,differentiable domain transform,and image post-processing.The projection preprocessing module first extends the original projection data in the row direction to ensure full coverage of the scanned object by X-ray.The differentiable domain transform introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes,where the geometric parameters correspond to the extended data dimension to provide crucial prior information in the forward pass of the network and ensure the accuracy in the gradient backpropagation,thus enabling precise learning of cone-beam region data.The image post-processing module further fine-tunes the domain-transformed image to remove residual artifacts and noises.Results The results of validation experiments conducted on Mayo's public chest dataset showed that the proposed DualCBR-Net framework was superior to other comparison methods in terms of artifact removal and structural detail preservation.Compared with the latest methods,the DualCBR-Net framework improved the PSNR and SSIM by 0.6479 and 0.0074,respectively.Conclusion The proposed DualCBR-Net framework for cone-angle artifact correction allows effective joint training of the CBCT dual-domain network and is especially effective for large cone-angle region.

[摘 要] 目的：探讨乳腺癌特异基因1（BCSG1）与Hsa-circ-0026352在浸润性乳腺癌（IBC）遗传易感性中的交互作用。方法：选取2019年6月至2022年5月间武汉市中西医结合医院收治的100例IBC患者作为研究对象，采用免疫组化法检测IBC组织及其相应癌旁组织中BCSG1的表达，将研究对象按照IBC组织中BCSG1蛋白表达的高低分为阴性、弱阳性和强阳性组，统计三组患者的临床病理特征及雌激素受体（ER）、孕激素受体（PR）、表皮生长因子受体-2（HER2）、Hsa-circ-0026352的表达情况，采用Logistic回归方程和最大似然法分析BCSG1表达与上述参数的趋势性和交互作用。结果：与癌旁组织比较，IBC组织中BCSG1蛋白呈高表达（P<0.05）；BCSG1蛋白强阳性表达与淋巴结转移、分化程度、临床分期、HER2表达、 Hsa-circ-0026352表达有关联（P<0.05）；BCSG1强阳性表达与IBC存在交互作用（P<0.05）；BCSG1表达与IBC的交互作用在Hsa-circ-0026352阳性表达中最为显著（趋势P<0.001）；BCSG1表达与IBC的交互作用在临床分期Ⅲ期、低分化程度中最为显著（趋势P<0.001）。结论：BCSG1与IBC患病密切相关，且与Hsa-circ-0026352、临床分期、分化程度存在交互作用，可共同增加IBC患病风险性。

Objective:To explore the value of subspecialty group collaboration combined with disease checklist-driven learning in overcoming the impact of the specialized disease treatment mode in subspecialty establishment on the cultivation of professional postgraduate students.Methods:In the teaching of general surgery and gastroenterology, sixty professional postgraduate students of grade 2019 were randomly divided into control group and experimental group, with 30 students in each group. The control group received traditional teaching, while the experimental group received the teaching mode of subspecialty group collaboration combined with disease checklist-driven learning. The teaching effectiveness and the degree of satisfaction with teaching were compared between the two groups. The data were analyzed using the t test and the chi-squared test using SPSS 20.0. Results:In actual teaching, compared with the control group, the experimental group showed significantly higher scores of theoretical assessment (71.51±11.32 vs. 87.23±10.51, P<0.05) and case analysis (73.61±6.82 vs. 92.37±6.87, P<0.05). The rates of satisfaction with theoretical knowledge learning, application of clinical thinking ability for diseases, teaching organization forms, and teaching effectiveness were 90.00%(27/30), 86.67%(26/30), 96.67%(29/30), and 93.33%(28/30) in the experimental group, respectively, which were significantly higher than those of the control group [40.00%(12/30), 23.33%(7/30), 40.00%(12/30), and 46.67%(14/30), respectively; all P<0.05]. Conclusions:The subspecialty group collaboration combined with disease checklist-driven learning mode can overcome the problems of "narrow disease spectrum and narrow knowledge scope" in specialized postgraduate education, and guide students to break the teaching barriers generated by subspecialty construction to create a new form of comprehensive and multi-disease learning, with good prospects for promotion and application.