麻杏石甘汤

má xìnɡ shí ɡān tānɡ
  • Ma Xing Shi Gan Tang;Decoction of Ephedra, Apricot Kernel, Gypsum and Licorice
麻杏石甘汤麻杏石甘汤
  1. 目的建立麻杏石甘汤中甘草次酸含量的HPLC测定方法。

    Aim To establish an HPLC method for the determination of enoxolone in Maxing Shigan Decoction .

  2. 10倍麻杏石甘汤组、5倍麻杏石甘汤加味方组CD8+T细胞亚群百分率显著低于感染模型组(P0.05)。

    The percentages of CD8 + T-cell subpopulation in both 10 and 5 times of MSD groups were significantly lower than those of the infected model group ( P0.05 ) .

  3. 与病毒对照组比较,麻杏石甘汤治疗给药方式下的MDCK细胞超微结构较完整。

    Compared with the virus control group , the ultrastructure of MDCK cell in treatment condition with MXSGD was more complete .

  4. 目的研究麻杏石甘汤对A型流感病毒感染的MDCK细胞活性与超微结构的影响。

    Objective To study the effects of Maxing Shigan decoction ( MXSGD ) in vitro on activity and ultrastructure of MDCK which infected by influenza virus A.

  5. 目的选择麻杏石甘汤成分提取时药材最佳组合方式。

    Aim To select the optimum extracting mode of Maxing Shigan Decoction .

  6. 目的:研究大青龙汤及麻杏石甘汤的临床应用范围及症-证-药-量特点。

    Objective : Studing on Da Qing Long Tang and Ma Xing Shi Gan Tang clinical application and symptom-syndrome-drugs-amount characteristics .

  7. 麻杏石甘汤加味治疗喉痒咳嗽131例分析

    Modified Ma Xing Shi Gan Tang for the Treatment of Cough with Itching of the Throat : An Analysis of 131 Cases

  8. 中医方剂&麻杏石甘汤的生物配位-化学的初步研究试从非线性视角看中医方剂实质

    Studies on a Traditional Chinese Medical Prescription Ma Xing Shi Gan Tang by Bio-coordination Chemistry Preliminary Exploration of Essence of Prescription of Traditional Chinese Medicine from Point of Nonlinear View

  9. 本组经用麻杏石甘汤加味治疗,总有效率占90.8%。

    Treated with modified Ma Xing Shi Gan Tang ( Decoction of Ephedrae , Armeniacae Amarum , Glycyrrhizae and Gypsum Fibrosum ), the cases received a satisfactory result , with a total effective rate of 90.8 % .

  10. 方法用甲型流感病毒鼠肺适应株经鼻腔接种小鼠,建立感染模型。实验设10倍麻杏石甘汤组、5倍麻杏石甘汤组、感染模型组、正常对照组。

    Methods The models were established by inoculating with the influenza virus A fitted to lung via mice nose in mice and then divided into 10 times of MSD , 5 times of MSD , infected model and normal control groups .