口腔医学研究

口腔医学研究 ›› 2017, Vol. 33 ›› Issue (10): 1031-1035.DOI: 10.13701/j.cnki.kqyxyj.2017.10.003

• 基础研究论著 • 上一篇    下一篇

响应面法优化IgY抑制具核梭杆菌增殖的研究

许啸晨1，王芳2#，罗鑫龙1，周喻2，郭锐华2，吴文惠3,4*   

  1. 1. 上海美加净日化有限公司 上海 200333；
    2. 上海海洋大学食品学院 上海 201306；
    3. 上海海洋大学海洋科学研究院 上海 201306；
    4. 上海水产品加工与贮藏工程技术研究中心 上海 201306
  • 收稿日期:2017-04-18 出版日期:2017-10-20 发布日期:2017-10-24
  • 通讯作者: 吴文惠,E-mail: whwu@shou.edu.cn
  • 作者简介:许啸晨(1986~ ),男,上海人,硕士,主要从事生物化学研究。王芳(1986~ ),女,安徽蚌埠人,博士在读,主要从事生物活性化合物研究。
  • 基金资助:
    国家自然科学基金资助项目(编号:81502955) 上海市进一步加快中医药事业发展三年行动计划资助项目(编号:ZY3-CCCX-3-3044)

Optimization of IgY inhibiting Fusobacterium nucleatum proliferation Based on Response Surface Methodology

XU Xiao-chen1, WANG Fang2#, LUO Xin-long1, ZHOU Yu2, GUO Rui-hua2, WU Wen-hui3,4*   

  1. 1. Shanghai MAXAM Company Limited, Shanghai 200333, China;
    2. College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China;
    3. Institute of Marine Science, Shanghai Ocean University, Shanghai 201306, China;
    4. Shanghai Aquatic Products Processing and Storage Engineering Technology Research Center, Shanghai 201306, China.
  • Received:2017-04-18 Online:2017-10-20 Published:2017-10-24

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摘要： 目的:利用响应面法研究免疫球蛋白Y(IgY)影响口腔唾液模拟环境中具核梭杆菌(F. nucleatum)的生长繁殖特性,发现F. nucleatum最终菌落数与培养时间、F. nucleatum初始接种浓度和IgY剂量的关系。方法:以F. nucleatum最终菌落数为评价指标,在单因素试验基础上,设计三因素三水平响应面实验进行优化,通过响应面法对回归方程的分析,得到各因素最佳条件,优化后的条件重复试验3次,以验证模型的准确性。结果:以2×106 CFU/mL初始浓度接种F. nucleatum、181 mmol/L 剂量给药IgY,培养时间6 h得到最终菌落数4.52×104 CFU/mL,与预测值相对误差小于5%,方差分析表明模型P值显著,缺失值P值不显著,理论值与实测值拟合度良好,优化后F. nucleatum最终菌落数显著降低。结论:响应面法优化结果表明IgY能显著抑制口腔唾液模拟环境中具核梭杆菌的增殖,回归模型能够预测IgY影响口腔唾液模拟环境中F. nucleatum增殖的特性。

关键词: 响应面优化, 具核梭杆菌, 免疫球蛋白Y, 增殖

Abstract: Objective: To optimize the colony count of IgY against F. nucleatum in oral simulation environment. Methods: The final colony count was used as the evaluation index. On the basis of single factor test, response surface methodology was employed with three factors and three levers such as number of colonies at different dose of IgY, initial inoculation concentrations of F. nucleatum, and culture time in the artificial saliva. The experiment was repeated three times under the optimal conditions to verify the accuracy of the model. Results: The optimum culture conditions were as follows: culture time was 6 h, dose of IgY was 181 mmol/L, and F. nucleatum initial inoculation concentration was 2×106 CFU/mL. Under these conditions, the final number of colonies was 4.52×104 CFU/mL, and relative error with the theoretical value was less than 5%. The variance analysis showed that the P value of the model was significant, the missing value was not significant, and the theoretical value was in good agreement with the measured value. Conclusion: The number of colonies of F. nucleatum in the simulated oral env-ironment was significantly decreased, which indicated that the regression model could be a good predictor of the response of F nucleatum in the oral cavity.

Key words: Response surface optimization, Fusobacterium nucleatum, Immunoglobulin of yolk Proliferation

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