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传承揭秘 | 第一篇使用 Research Diets D12492 的科研发表

  • 2024年5月15日
  • 来源:派克生物
  • 作者:派小克
  • 编辑:小助理
 
传承揭秘|
第一篇使用 Research Diets D12492 的科研发表

 

在庆祝 D12492配方问世 25 年之际,我们希望在此向各位读者分享第一篇使用此配方发表的论文。第一篇使用 D12492 的论文为《High-Resolution Magnetic Resonance Imaging Tracks Changes in Organ and Tissue Mass in Obese and Aging Rats》(暂译:使用高分辨率磁共振成像追踪肥胖和衰老大鼠器官和组织质量的变化)。

 

该研究的目标是评估 Magnetic Resonance Imaging (MRI) 在体内测量各种软组织和身体部位的准确性,并将这些 MRI 测量结果与传统方法(如解剖和化学分析)获得的结果进行比较。高脂肪饲料 D12492 能可靠地诱导肥胖,因此研究人员能够比较各种测量身体组成的方法,特别是随时间变化的脂肪分布和肌肉质量。他们的研究结果表明,在食源诱导肥胖的动物模型中,MRI 不仅可行,且也為一种优越的体成分评估方法。

 

摘要

 

Magnetic resonance imaging (MRI) has the ability to discriminate between various soft tissues in vivo. Whole body, specific organ, total adipose tissue (TAT), intra-abdominal adipose tissue (IAAT), and skeletal muscle (SM) weights determined by MRI were compared with weights determined by dissection and chemical analysis in two studies with male Sprague-Dawley rats. A 4.2-T MRI machine acquired high-resolution, in vivo, longitudinal whole body images of rats as they developed obesity or aged. Weights of the whole body and specific tissues were determined using computer image analysis software, including semiautomatic segmentation algorithms for volume calculations. High correlations were found for body weight (r = 0.98), TAT (r = 0.99), and IAAT (r = 0.98) between MRI and dissection and chemical analyses. MRI estimated the weight of the brain, kidneys, and spleen with high accuracy (r > 0.9), but overestimated IAAT, SM, and liver volumes. No differences were detected in organ weights using MRI and dissection measurements. Longitudinal MRI measurements made during the development of obesity and aging accurately represented changes in organ and tissue mass.

 

 

Reference

1. Tang H, Vasselli JR, Wu EX, Boozer CN, Gallagher D. High-resolution magnetic resonance imaging tracks changes in organ and tissue mass in obese and aging rats. Am J Physiol Regul Integr Comp Physiol. 2002 Mar;282(3):R890-9. doi: 10.1152/ajpregu.0527.2001. PMID: 11832412.

 
 
 
 
 
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