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Korean Society for Biochemistry and Molecular Biology (생화학분자생물학회)
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Patterns of Plasma Fatty Acids in Rat Models with Adenovirus Infection

  • Paik, Man-Jeong (Biometabolite Analysis Laboratory, College of Pharmacy, Sungkyunkwan University) ;
  • Park, Ki-Ho (Department of Molecular Cell Biology, Sungkyunkwan University) ;
  • Park, Joong-Jean (Department of Physiology, College of Medicine, Korea University) ;
  • Kim, Kyoung-Rae (Biometabolite Analysis Laboratory, College of Pharmacy, Sungkyunkwan University) ;
  • Ahn, Young-Hwan (Department of Neurosurgery, Ajou University School of Medicine) ;
  • Shin, Gyu-Tae (Department of Nephrology, Ajou University School of Medicine) ;
  • Lee, Gwang (Brain Disease Research Center, Ajou University School of Medicine)
  • Published : 2007.01.31
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Abstract

Adenoviral vectors are among the most promising vectors available for human gene therapy. However, the use of recombinant adenoviral vectors, including replicationcompetent adenovirus (RCA), raises a variety of safety concerns in relation to the development of new therapies based on gene therapy. To examine how organic compounds change in rat plasma following the injection of adenovirus, $\beta$-galactosidase expressing recombinant adenovirus (designated rAdLacZ) or RCA, we investigated the content of fatty acids (FAs), which are important biochemical indicators in pathological conditions. Pattern recognition analysis on the level of FAs in rat plasma is described for the visual discrimination of adenovirus infection groups from normal controls. Plasma FAs from four control rats (normal group), and from four rats with rAdLacZ infection and six rats with RCA infection (the two abnormal groups), were examined by gas chromatography-mass spectrometry in selected ion monitoring modes as their tert-butyldimethylsilyl derivatives. In total, 20 FAs were positively detected and quantified. The results of the Student's t-test on the normal mean of two abnormal groups, the levels of three FAs (p<0.05) from rAdLacZ group and eleven FAs (p<0.05) from RCA group were significantly different. When star symbol plotting was applied to the group mean values of 20 FAs after normalization to the corresponding normal mean values, the resulting eicosagonal star patterns of the two infected groups were distorted into similar shapes, but were distinguishable from each other. Thus, these approaches will be useful for screening and monitoring of diagnostic markers for the effects of infection following the use of adenoviral vectors in gene therapy.

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References

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