批准用于奶牛的抗菌药物分析

我国奶牛养殖规模不断扩大,奶业产值比重逐步提高,给奶牛疫病防治带来巨大压力。奶牛乳房炎及细菌性肺炎等呼吸系统疾病和细菌性肠炎等消化系统疾病最为常见,抗菌药物的使用成为主要防治手段。但抗菌药物的不当使用易使细菌产生耐药性,增加临床治疗的成本和难度,危害我国奶牛产业发展。本文对截至2021年7月我国和美国、英国、日本、欧盟批准用于奶牛的抗菌药物产品进行整理、统计与分析,包括抗菌药物的分类、剂型以及适应证等,旨在为我国奶牛用抗菌药物管理、合理用药和新兽药开发提供参考。     

Pure laparoscopic living donor liver transplantation: Dreams come true

Minimally invasive approaches are increasingly being applied in surgeries and have recently been used in living donor hepatectomy. We have developed a safe and reproducible method for minimally invasive living donor liver transplantation, which consists of pure laparoscopic explant hepatectomy and pure laparoscopic implantation of the graft, which was inserted through a suprapubic incision. Pure laparoscopic explant hepatectomy without liver fragmentation was performed in a 60-year-old man with alcoholic liver cirrhosis and hepatocellular carcinoma. The explanted liver was retrieved through a suprapubic incision. A modified right liver graft, procured from his 24-year-old son using the pure laparoscopic method, was inserted through a suprapubic incision, and implantation was performed intracorporeally throughout the procedure. The time required to remove the liver was 369 min, and the total operative time was 960 min. No complications occurred during or after the surgery. The patient recovered well, and his hospital stay was of 11 days. Pure laparoscopic living donor liver transplantation from explant hepatectomy to implantation was performed successfully. It is a feasible procedure when performed by a highly experienced surgeon and transplantation team. Further studies with larger sample sizes are needed to confirm its safety and feasibility.

     

半夏泻心汤对DSS诱导的溃疡性结肠炎小鼠肠道微生态及Th17/Treg细胞平衡的影响＊

目的 观察半夏泻心汤对饮用葡聚糖硫酸钠（DSS）诱导建立的溃疡性结肠炎（UC）模型小鼠Th17/Treg细胞平衡及肠道微生态的影响，从免疫失衡及菌群紊乱角度分析半夏泻心汤治疗UC的作用机制。方法 将40只C57BL/6J雄性小鼠随机分为空白组、模型组、阳性药（美沙拉嗪）组及半夏泻心汤组，除空白组外的各小鼠采用2.5% DSS水溶液自由饮用7天诱导建立UC小鼠模型。自实验第8日起，分别采用灭菌水、美沙拉嗪水溶液、半夏泻心汤水溶液给上述各组别小鼠灌胃。采用HE染色观察结肠组织病理学变化，ELISA方法检测组织炎症因子含量，流式细胞术检测Th17及Treg细胞的相对数量，16S rRNA测序技术进一步检测模型小鼠粪便中菌群的变化。结果 与空白组比较，模型组小鼠结肠损伤严重，血清炎症因子含量显著升高（P<0.01）；与模型组比较，中药干预组小鼠结肠损伤减轻，血清TNF-α、IFN-γ含量显著下降（P<0.05）。较空白组小鼠相比，模型组小鼠Th17细胞百分比显著升高（P<0.01），而Treg细胞百分比显著降低（P<0.01）。经半夏泻心汤干预后，其小鼠Th17细胞数量均显著降低（P<0.05），Treg细胞数量则显著升高（P<0.05）。同时，半夏泻心汤可升高门水平上Firmicutes、属水平上Lachnospiraceae_NK4A136_group、unclassified_f_Lachnospiraceae、Prevotellaceae_UCG-001、Alistipes；降低门水平上Actinobacteriota，科水平上Bifidobacteriaceae、Atopobiaceae、Clostridiaceae，属水平上Clostridium_sensu_stricto_1、Coriobacteriaceae_UCG-002、Bifidobacterium的相对丰度。结论 半夏泻心汤可使Treg细胞相对数量升高、Th17细胞相对数量降低，以维持Th17/Treg细胞动态平衡；同时可降低有害菌Clostridium_sensu_stricto_1、Coriobacteriaceae_UCG-002的相对丰度，升高产短链脂肪酸类菌Lachnospiraceae_NK4A136_group、Prevotellaceae_UCG-001、unclassified_f_Lachnospiraceae等菌属的相对丰度，调控肠道微生物结构及动态平衡，从而发挥治疗UC的作用。     

Arterial spin labeling MR image denoising and reconstruction using unsupervised deep learning

Arterial spin labeling (ASL) imaging is a powerful magnetic resonance imaging technique that allows to quantitatively measure blood perfusion non-invasively, which has great potential for assessing tissue viability in various clinical settings. However, the clinical applications of ASL are currently limited by its low signal-to-noise ratio (SNR), limited spatial resolution, and long imaging time. In this work, we propose an unsupervised deep learning-based image denoising and reconstruction framework to improve the SNR and accelerate the imaging speed of high resolution ASL imaging. The unique feature of the proposed framework is that it does not require any prior training pairs but only the subject's own anatomical prior, such as T1-weighted images, as network input. The neural network was trained from scratch in the denoising or reconstruction process, with noisy images or sparely sampled k-space data as training labels. Performance of the proposed method was evaluated using in vivo experiment data obtained from 3 healthy subjects on a 3T MR scanner, using ASL images acquired with 44-min acquisition time as the ground truth. Both qualitative and quantitative analyses demonstrate the superior performance of the proposed txtc framework over the reference methods. In summary, our proposed unsupervised deep learning-based denoising and reconstruction framework can improve the image quality and accelerate the imaging speed of ASL imaging.     

桑黄的药理作用研究进展

桑黄作为重要的大型药用真菌,应用历史悠久,疗效显著,受到人们的广泛关注.现代研究表明桑黄具有抗炎、抗氧化、降血糖、保肝、抗肿瘤、免疫调节等多种功效,在健康辅助食品、天然药物等领域具有广阔的应用前景.本文基于中国知网(CNKI)、Web of Science、Pubmed等数据库,总结了近年来桑黄药理作用研究的最新成果,以期为桑黄的深入研究与开发提供参考.     

益气活血法联合西药治疗肺纤维化疗效及安全性Meta分析＊

目的 系统评价益气活血法联合西药治疗特发性肺纤维化（idiopathic pulmonary fibrosis，IPF）的疗效及安全性。方法 系统检索中国知网、维普网、万方数据库、EMbase、PubMed、Cochrane Library图书馆等数据库，检索时限从数据库建库至2021年1月，纳入益气活血法联合西药治疗特发性肺纤维化的随机对照试验（randomized controlled trial，RCT），由2名研究人员独立筛选并交叉核对纳入结果，提取有效数据后，应用RevMan 5.3软件进行Meta分析。结果 纳入16项随机对照试验共计1160例IPF患者。分析结果显示益气活血法联合西药组可提高临床总有效率（OR= 3.71，95% CI ［2.68，5.14］，P<0.00001）；改善患者肺功能：用力肺活量（MD=0.31，95% CI ［0.23，0.38］，P<0.00001）（MD=3.59，95% CI ［1.51，5.66］，P=0.0007），一氧化碳弥散量（MD=2.54，95% CI ［1.83，3.25］，P<0.00001）；提高生活质量，降低圣乔治评分：呼吸困难（MD=-12.70，95% CI ［-21.07，-4.32］，P=0.003），活动能力（MD=-8.38，95% CI ［-13.66，-3.10］，P=0.002），疾病影响（MD=-13.87，95% CI ［-22.53，-5.22］，P=0.002）；并可降低患者中医症状积分：喘息（MD=-0.66，95% CI ［-0.84，-0.49］，P<0.00001），咳嗽（MD=-0.71，95% CI ［-1.04，-0.37］，P<0.0001）；有效提高动脉血氧分压（MD=5.92，95% CI ［4.61，7.22］，P<0.00001）；且不增加不良事件发生率（OR=0.55，95% CI ［0.27，1.14］，P=0.11）。结论 益气活血法联合西药治疗IPF可提高临床治疗有效率，改善患者生活质量，且不增加临床不良事件（便秘、嗜睡、口干、恶心呕吐、皮肤瘙痒、腹泻等）发生率。但本研究纳入文献质量参差不齐，仍需更多大样本、高质量、多中心的RCT试验验证结论。     

Frame Invariance and Scalability of Neural Operators for Partial Differential Equations

Partial differential equations (PDEs) play a dominant role in the mathematical modeling of many complex dynamical processes. Solving these PDEs often requires prohibitively high computational costs, especially when multiple evaluations must be made for different parameters or conditions. After training, neural operators can provide PDEs solutions significantly faster than traditional PDE solvers. In this work, invariance properties and computational complexity of two neural operators are examined for transport PDE of a scalar quantity. Neural operator based on graph kernel network (GKN) operates on graph-structured data to incorporate nonlocal dependencies. Here we propose a modified formulation of GKN to achieve frame invariance. Vector cloud neural network (VCNN) is an alternate neural operator with embedded frame invariance which operates on point cloud data. GKN-based neural operator demonstrates slightly better predictive performance compared to VCNN. However, GKN requires an excessively high computational cost that increases quadratically with the increasing number of discretized objects as compared to a linear increase for VCNN.     

An aid to patient positioning after vitrectomy surgery

Graefe's Archive for Clinical and Experimental Ophthalmology -