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。     

Impact of the COVID-19 pandemic on the hospital attendance of patients with primary cervical cancer in Heilongjiang,China

Information regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on cervical cancer in mainland China is lacking. We explored its impact on the hospital attendance of patients with primary cervical cancer. We included 1918 patients with primary cervical cancer who initially attended Harbin Medical University Cancer Hospital between January 23, 2019, and January 23, 2021. Attendance decreased by 31%, from 1135 in 2019 to 783 in 2020, mainly from January to June (𝜒² = 73.362, P < .001). The percentage of patients detected by screening decreased from 12.1% in January-June 2019 to 5.8% in January-June 2020 (𝜒² = 7.187, P = .007). Patients with stage I accounted for 28.4% in 2020 significantly lower than 36.6% in 2019 (𝜒² = 14.085, P < .001), and patients with stage III accounted for 27.1% in 2020 significantly higher than 20.5% in 2019 (𝜒² = 11.145, P < .001). Waiting time for treatment was extended from 8 days (median) in January-June and July-December 2019 to 16 days in January-June (𝜒² = 74.674, P < .001) and 12 days in July-December 2020 (𝜒² = 37.916, P < .001). Of the 179 patients who delayed treatment, 164 (91.6%) were for the reasons of the healthcare providers. Compared to 2019, the number of patients in Harbin or non-Harbin in Heilongjiang Province and outside the province decreased, and cross-regional medical treatment has been hindered. The COVID-19 pandemic has negatively impacted cervical cancer patient attendance at the initial phase. These results are solid evidence that a strategy and mechanism for the effective attendance of cervical cancer patients in response to public health emergencies is urgently needed.     

PDCA在优化医院新冠病毒核酸检测流程中的应用

目的：应用PDCA循环优化医院新冠病毒核酸检测的流程，提升核酸检测能力，以满足疫情防控和临床患者的需求。方法：应用PDCA循环，分析核酸检测流程存在的问题，建立标准化的核酸检测体系。同时，收集2020年10月至12月（优化前）和2021年10月至12月（优化后）的数据，采用SPSS 22.0软件进行统计分析，以评价PDCA循环的优化效果。结果：经过PDCA循环优化后，总检测中位标本数从20 307个增加至71 403个，优化前后差异有统计学意义（P=0.018）。中位送检时间从224分钟缩短至208分钟，中位检测时间从234分钟缩短至151分钟，中位报告时间从461分钟缩短至371分钟，优化前后差异均有统计学意义（P < 0.001）。结论：应用PDCA循环，能够制定并持续完善标准化的核酸检测流程，有助于提高核酸检测能力和服务水平。     

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.

     

菊花总黄酮含药血清对干眼细胞模型AR、NF-κB磷酸化蛋白及TGF-β1表达的影响＊

目的 观察菊花总黄酮在体外条件下对泪腺上皮细胞中雄激素受体（Androgen Receptor，AR）的调控作用及对下游的核因子κB（Nuclear Factor kappa B，NF-κB）、转化生长因子-β1（transforming growth factor-beta1，TGF-β1）的表达影响。方法 以过氧化氢（H₂O₂）诱导泪腺上皮细胞凋亡，建立细胞模型，设立无雄激素培养空白对照组、含雄激素培养对照组、无雄激素培养黄酮治疗组。以MTT法摸索含药血清最佳干预加入量；免疫印迹实验（Western Blot）以及实时荧光定量PCR法（Quantitative Real-Time PCR，qPCR）检测泪腺上皮细胞中AR、NF-κB及TGF-β1的表达情况；并应用雄激素受体阻断剂氟他胺进行AR阻断后再次检测上述指标 。结果 MTT法检测后计算得出含药血清干预细胞的最终浓度为13.2%；无雄激素培养黄酮治疗组及含雄激素培养对照组中AR、NF-κB及TGF-β1的表达增强，与空白对照组对比有显著差异（P<0.01）；无雄激素培养黄酮治疗组中NF-κB表达量比含雄激素培养对照组表达量低，两者间的差异有统计学意义。氟他胺及含药血清干预后，无雄激素培养黄酮治疗组及含雄激素培养对照组中AR及NF-κB的表达未见提高，无统计学意义。结论 菊花总黄酮对泪腺上皮细胞可能存在拟雄激素效应，从而使AR、NF-κB表达增加，并通过上调TGF-β1的表达，可能起到在泪腺局部的抗炎作用。     

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.