...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Canadian Journal of Physiology and Pharmacology >Percent relative cumulative frequency analysis in indirect calorimetry: application to studies of transgenic mice.
【24h】

Percent relative cumulative frequency analysis in indirect calorimetry: application to studies of transgenic mice.

机译：间接量热法中的相对累积频率分析百分比：在转基因小鼠研究中的应用。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Indirect calorimetry is commonly used in research and clinical settings to assess characteristics of energy expenditure. Respiration chambers in indirect calorimetry allow measurements over long periods of time (e.g., hours to days) and thus the collection of large sets of data. Current methods of data analysis usually involve the extraction of only a selected small proportion of data, most commonly the data that reflects resting metabolic rate. Here, we describe a simple quantitative approach for the analysis of large data sets that is capable of detecting small differences in energy metabolism. We refer to it as the percent relative cumulative frequency (PRCF) approach and have applied it to the study of uncoupling protein-1 (UCP1) deficient and control mice. The approach involves sorting data in ascending order, calculating their cumulative frequency, and expressing the frequencies in the form of percentile curves. Results demonstrate the sensitivity of the PRCF approach for analyses of oxygen consumption ( src="/cisti/journals/rp/gifs/v-dot">02) as well as respiratory exchange ratio data. Statistical comparisons of PRCF curves are based on the 50th percentile values and curve slopes (H values). The application of the PRCF approach revealed that energy expenditure in UCP1-deficient mice housed and studied at room temperature (24 degrees C) is on average 10% lower (p < 0.0001) than in littermate controls. The gradual acclimation of mice to 12 degrees C caused a near-doubling of src="/cisti/journals/rp/gifs/v-dot"> in both UCP1-deficient and control mice. At this lower environmental temperature, there were no differences in src="/cisti/journals/rp/gifs/v-dot"> between groups. The latter is likely due to augmented shivering thermogenesis in UCP1-deficient mice compared with controls. With the increased availability of murine models of metabolic disease, indirect calorimetry is increasingly used, and the PRCF approach provides a novel and powerful means for data analysis.
机译：间接量热法通常用于研究和临床环境中以评估能量消耗的特征。间接量热法中的呼吸室允许长时间（例如，数小时至数天）进行测量，因此可以收集大量数据。当前的数据分析方法通常只涉及选定的一小部分数据的提取，最常见的是反映静止代谢率的数据。在这里，我们描述了一种用于分析大型数据集的简单定量方法，该方法能够检测能量代谢的细微差异。我们将其称为相对累积频率百分比（PRCF）方法，并将其应用于解偶联蛋白1（UCP1）缺陷小鼠和对照小鼠的研究。该方法涉及按升序对数据进行排序，计算其累积频率，并以百分比曲线的形式表示频率。结果证明了PRCF方法对耗氧量分析（ src =“ / cisti / journals / rp / gifs / v-dot”> 02）以及呼吸交换率数据的敏感性。 PRCF曲线的统计比较基于第50个百分位值和曲线斜率（H值）。 PRCF方法的应用表明，在室温（24摄氏度）下饲养和研究的UCP1缺陷小鼠的能量消耗比同窝对照平均低10％（p <0.0001）。小鼠逐渐适应12摄氏度后，UCP1缺陷小鼠和对照小鼠的 src =“ / cisti / journals / rp / gifs / v-dot”>几乎翻了一番。在较低的环境温度下，各组之间的 src =“ / cisti / journals / rp / gifs / v-dot”>没有差异。后者可能是由于与对照组相比，UCP1缺陷型小鼠的发抖生热增加。随着鼠类代谢疾病模型可用性的提高，间接量热法越来越多，而PRCF方法为数据分析提供了一种新颖而强大的手段。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号