The American Association for Thoracic Surgery (AATS) 2022 Expert Consensus Document: The use of mechanical circulatory support in lung transplantation

ObjectiveThe use of mechanical circulatory support (MCS) in lung transplantation has been steadily increasing over the prior decade, with evolving strategies for incorporating support in the preoperative, intraoperative, and postoperative settings. There is significant practice variability in the use of these techniques, however, and relatively limited data to help establish institutional protocols. The objective of the AATS Clinical Practice Standards Committee (CPSC) expert panel was to review the existing literature and establish recommendations about the use of MCS before, during, and after lung transplantation.MethodsThe AATS CPSC assembled an expert panel of 16 lung transplantation physicians who developed a consensus document of recommendations. The panel was broken into subgroups focused on preoperative, intraoperative, and postoperative support, and each subgroup performed a focused literature review. These subgroups formulated recommendation statements for each subtopic, which were evaluated by the entire group. The statements were then developed via discussion among the panel and refined until consensus was achieved on each statement.ResultsThe expert panel achieved consensus on 36 recommendations for how and when to use MCS in lung transplantation. These recommendations included the use of veno-venous extracorporeal membrane oxygenation (ECMO) as a bridging strategy in the preoperative setting, a preference for central veno-arterial ECMO over traditional cardiopulmonary bypass during the transplantation procedure, and the benefit of supporting selected patients with MCS postoperatively.ConclusionsAchieving optimal results in lung transplantation requires the use of a wide range of strategies. MCS provides an important mechanism for helping these critically ill patients through the peritransplantation period. Despite the complex nature of the decision making process in the treatment of these patients, the expert panel was able to achieve consensus on 36 recommendations. These recommendations should provide guidance for professionals involved in the care of end-stage lung disease patients considered for transplantation.     

基于网络药理学和分子对接技术分析筒鞘蛇菰多糖治疗肝损伤的作用机制及体内实验研究＊

目的 基于网络药理学探讨并分析筒鞘蛇菰（Balanophora involucrata Hook. f.，BIH）治疗肝损伤的作用及分子机制，并通过大鼠体内实验验证相关预测靶点及筒鞘蛇菰提取物-蛇菰多糖（Polysaccharides of Balanophora involucrata Hook. f.，BPS）对实验性肝损伤的保护作用。方法 化学专业数据库、TCMID和TCMSP平台检索筒鞘蛇菰组成的化合物及可能靶点，以肝损伤为关键词检索GeneCards和网站，获得相关靶点，绘制Venn图，选交集靶点，将“化合物-靶点和疾病-靶点”关系导入Cytoscape V3.7.2软件，获得化合物-靶点-疾病的三重网络，对化合物及相关靶点蛋白行分子对接，并用交集靶点绘制蛋白互作网络图及进行GO生物功能和KEGG信号途径富集分析。结果 筒鞘蛇菰主要成分有11个化合物，其中与肝损伤有37个交集靶点，高度关联靶点包括NOS3、ESR1、TNF、MAOA、PTGS2、IL10等，GO和KEGG富集分析发现筒鞘蛇菰治疗肝损伤的分子机制，可能与调节肾上腺素能信号通路、cGMP-PKG信号及神经活性配体-受体交互通路等有关，而且ADRA1B、ADRA2A、ADRA2C、ADRB1/2等基因高度富集于这些通路中。动物体内实验发现BPS灌胃处理可减轻肝组织损伤、调控血清炎症因子肿瘤坏死因子α（Tumor necrosis factor， TNF-α）和白细胞介素10（IL-10）水平、提高抗氧化酶超氧化物歧化酶（superoxide dismutase，SOD）活性，并增强肝组织内氧化应激相关蛋白核因子E2相关因子2（NF-E2-related factor 2，NRF2）和醌NADH脱氢酶1（NQO1）的表达，从而抑制大鼠体内氧化应激损伤、减轻炎症反应和细胞凋亡，达到保护实验性肝损伤的作用。结论 本研究初步确定筒鞘蛇菰治疗肝损伤的有效成分、“化合物-蛋白-靶点”关联网络及发挥作用的分子机制，并通过动物体内实验证实蛇菰多糖保护肝损伤的机制与上调NRF2/NQO1通路来减轻氧化应激反应性损伤、减轻肝细胞凋亡有关。     

Segmentation of CT Lung Images Using FCM with Active Contour and CNN Classifier

Objective: Lung cancer is one of the unsafe diseases for human which reduces the patient life time. Generally, most of the lung cancers are identified after it has been spread into the lung parts and moreover it is difficult to find the lung cancer at the early stage. It requires radiologist and special doctors to find the tumoral tissue of the lung cancer. For this reason, the recommended work helps to segment the tumoral tissue of CT lung image in an effective way. Methods:  The research work uses hybrid segmentation technique to separate the lung cancer cells to diagnose the lung tumour. It is a technique which combines active contour along with Fuzzy c means to diagnose the tumoral tissue. Further the segmented portion was trained by Convolutional Neural Network (CNN) in order to classify the segmented region as normal or abnormal. Results: The evaluation of the proposed method was done by analyzing the results of test image with the ground truth image. Finally, the results of the implemented technique provided good accuracy, Peak signal to noise ratio (PSNR), Mean Square Error (MSE) value. In future the other techniques can be utilized to improve the details before segmentation. The proposed work provides 96.67 % accuracy. Conclusion: Hybrid segmentation technique involves several steps like preprocessing, binarization, thresholding, segmentation and feature extraction using GLCM.     

Preoperative comprehensive malignancy risk estimation for thyroid nodules: Development and verification of a network-based prediction model

BackgroundIn order to avoid excessive treatment of thyroid nodules in the clinic, it is necessary to find a simple and practical analysis method to comprehensively and accurately reflect benign or malignant thyroid nodules. This study aimed to construct and validate a comprehensive and reliable network-based predictive model using a variety of imaging and laboratory criteria for thyroid nodules to stratify the risk of malignancy prior to surgery.MethodsWe retrospectively analyzed data from patients who underwent surgical treatment for thyroid nodules at the Thyroid and Breast Diagnosis and Treatment Center of Weifang Hospital of Traditional Chinese Medicine between January 2018 and December 2020. Binary logical regression analysis was performed to predict whether nodules were malignant or benign. The developmental dataset included 457 patients (January 2018–December 2020). The validation set included separate data points (n = 225, January 2018–December 2020).ResultsIn this study, criteria that showed significant predictive value for malignant nodules included TI-RADS: 4b (p = 0.065); Bethesda IV, Bethesda V, Bethesda VI (P < 0.0001); BRAF^V600E mutation (P < 0.0001); Calcitonin>5 pg/ml (p = 0.0037); and FNA-Tg>30 ng/ml (p = 0.0003). A 10-grade risk scoring system was developed. The risk of malignancy risk ranged from 2.06% to 100% and was positively associated with increasing risk grade. The areas under the receiver-operating characteristic curve of the development and validation sets were 0.972 and 0.946, respectively.ConclusionA simple, comprehensive and reliable web-based predictive model was designed using a variety of imaging and laboratory criteria to stratify thyroid nodules by probability of malignancy.     

液质联用技术联合网络药理学探讨白鲜皮治疗湿疹的作用机制＊

目的 采用液质联用技术分析白鲜皮中的主要化学成分；基于网络药理学技术研究白鲜皮治疗皮肤湿疹的活性成分、作用靶点及作用机制。方法 利用液质联用技术（LC-MS）对白鲜皮主要成分进行分析，通过质谱数据结合文献资料，对各主要成分进行快速识别；通过利用SwissADME数据库对白鲜皮潜在活性成分进行预测，筛选主要作用靶点。进行KEGG通路富集分析，最终得到白鲜皮成分-靶点-疾病-通路网络图。采用分子对接技术对主要成分和作用靶点进行验证。结果 从白鲜皮中共分析鉴定了12种成分，进一步筛选得到4种潜在活性成分，可作用于48个关键靶点和14条主要通路。结论 采用LC-MS技术结合网络药理学方法，可以快速分析白鲜皮的潜在活性成分，并初步揭示了成分-靶点-通路之间的关系。通过分子对接技术可以做作用靶点进行验证。     

基于网络药理学和实验验证研究柴胡疏肝散治疗慢性萎缩性胃炎的作用机制＊

目的 通过网络药理学的方法进行预测，再深一步进行动物实验验证来研究柴胡疏肝散治疗CAG的作用机制。方法 首先在TCMSP数据库中检索柴胡疏肝散的所有活性成分与药物靶点；通过收集PharmGkb、OMIM、GeneCards和DrugBank数据库中收录的慢性萎缩性胃炎的相关靶点。将药物靶点与疾病靶点进行映射筛选出交集靶点，将得到的交集靶点构建PPI网络与活性成分-共同靶点网络，并对其进行GO和KEGG富集分析。最后利用Vina软件进行分子对接实验验证，并通过免疫印迹法验证柴胡疏肝散对两种受体蛋白EGFR和STAT1的影响。结果 最终筛选得到柴胡疏肝散活性成分104个，潜在靶点238个，与慢性萎缩性胃炎的交集靶点52个；GO与KEGG富集分析分别得到2166条目和148条目，主要涉及到JAK-STAT信号通路、TNF信号通路、HIF-1信号通路等；分子对接结果显示EGFR、STAT1两个靶点能够与核心活性成分能够自发结合成较为稳定的构像；免疫印迹法实验证明柴胡疏肝散能够降低大鼠胃黏膜组织EGFR和STAT1蛋白表达。结论 通过网络药理学和实验验证，发现柴胡疏肝散可能通过调节EGFR和STAT1蛋白表达来共同调控胃黏膜细胞增殖与凋亡，进而发挥着治疗慢性萎缩性胃炎的效果，为深入进行柴胡疏肝散治疗慢性萎缩性胃炎的作用机制研究提供新思路和新方法。     

中医移动医疗App信息服务现状研究

以“七麦数据”网站收录的中医移动医疗App作为研究对象，采用网络调查法和文献分析法，根据“七麦数据”对移动医疗App的分类，结合中医移动医疗App的信息服务内容和特点，将筛选出的中医移动医疗App划分为医疗健康类、中医养生类、知识传播类、全面综合类，并根据“七麦数据”网站中对各类中医移动医疗App的打分及累计下载量筛选出最具代表性的12款中医移动医疗App，从全面性、人性化、安全性、实用性4个一级指标和40个二级指标对其信息服务现状进行评价，指出当前中医移动医疗App信息服务存在的问题并提出建议。     

王琦教授新冠肺炎预防方预防新型冠状病毒肺炎机制的网络药理学探讨＊

目的 借助网络药理学的方法，探究两组王琦教授新冠肺炎预防方（简称预防方）预防新型冠状病毒肺炎（COVID-19）的分子靶点和机制。方法 通过TCMSP数据库检索并筛选其活性成分及其作用靶点，通过Uniprot数据库进行蛋白标准化处理。从Genecards数据库中以“Novel coronavirus pneumonia”为关键词搜索获取COVID-19的靶标，构建相交靶点韦恩图。通过cytoscape3.7.2构建PPI蛋白互作网络，寻找富集数目最多的靶点。通过R语言对预防方治疗COVID-19的靶点进行GO和KEGG富集分析，并绘制气泡图。结果 预防方与新冠肺炎相关靶点涉IL-6、TNF、CXCL8、VEGFA、MMP9；GO功能富集分析分别获得53、57条通路；27、29条KEGG相关信号通路。结论 王琦教授新冠肺炎预防方中的主要活性成分为槲皮素、山奈酚、木犀草素、β-谷甾醇、植物甾醇等，可能通过作用于IL-6、TNF、CXCL8、VEGFA、MMP9、CXCL8、IL10、CCL2、IL1B等靶点和介导TNF信号通路、T细胞受体信号通路、Toll样受体信号通路等发挥作用，从而促进免疫反应、炎症反应及细菌防御反应，预防COVID-19。     

基于网络药理学探讨搜风愈喘方拆方“祛宿痰方”调控儿童哮喘的作用机制＊

目的 基于“伏风暗瘀宿痰”小儿哮喘病机新说，采用网络药理学及实验验证的方法，探索搜风愈喘方拆方“祛宿痰方”治疗儿童哮喘的作用机制，验证中医“宿痰”病机与西医细胞外基质改变病理之间的交通性。方法 通过TCMSP数据库建立“祛宿痰方”的有效成分和靶点数据集，利用OMIM、GeneCards、DrugBank、TTD疾病数据库建立哮喘疾病靶点数据集，利用Cytoscape软件取交集并构建“祛宿痰方”与哮喘的蛋白质互作网络，筛选关键靶点蛋白。利用Metascape数据库进行基因本体（Gene ontology，GO）分析以及京都基因和基因组百科全书（Kyoto encyclopedia of genes and genomes，KEGG）富集分析。复制卵蛋白（OVA）诱导的哮喘大鼠模型，对核心通路及关键靶点进行实验验证。结果 共得到“祛宿痰方”治疗哮喘的靶点98个，包括IL-13、TP53、TGF-β1、VEGF-A、MMP9等，KEGG得到与哮喘相关的通路287条（P＜0.05），包括NF-κB信号通路、PI3K-AKT信号通路、IL-17信号通路等。GO结果显示与哮喘相关生物进程包括炎症反应、细胞外基质调控、氧化应激、血管生成等。动物实验证实“祛宿痰方”可下调大鼠肺组织中p-NF-κB-P65磷酸化水平，抑制NF-κB信号通路的激活，降低IL-13、TGF-β1 mRNA表达量（P<0.05），减少哮喘大鼠肺组织中炎症细胞浸润、黏液产生，从而延缓哮喘的进程。结论 “祛宿痰方”可抑制NF-κB信号通路的激活，降低肺组织中IL-13、TGF-β1 mRNA表达量，可能通过抑制炎症反应、调控细胞外基质等途径作用于哮喘，中医“宿痰”病机与西医细胞外基质改变病理之间存在一定的的交通性。     

温经汤治疗原发性痛经的网络药理学作用机制＊

目的 本文将通过网络药理学结合分子对接对温经汤治疗原发性痛经作用机制进行预测。方法 利用TCMSP、TCMID及BATMAN-TCM数据库，收集温经汤活性成分并预测其作用靶标。通过GeneCards数据库、OMIM数据库筛选原发性痛经的靶标，并运用R软件获取疾病交集靶标，绘制韦恩图。运用Cytoscape软件构建温经汤治疗原发性痛经的成分-靶标网络图，通过STRING数据库构建PPI靶标蛋白互作网络，并进行核心靶标的GO功能富集分析及KEGG通路富集分析。通过Autodock Vina软件对药物活性成分与疾病核心靶标进行分子对接验证。结果 筛选得到温经汤治疗原发性痛经的124个活性成分和31个药物-疾病共同靶标，并推断其作用机制可能与介导HIF-1、TNF、PI3K-Akt等105条信号通路相关。槲皮素、山柰酚、豆甾醇等活性成分与PTGS1、ESR1、PGR等核心靶标对接结果良好。结论 温经汤活性成分可能通过发挥镇痛、抗炎、调节激素水平、缓解平滑肌痉挛和改善缺氧状态等药理作用来治疗原发性痛经。