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10.1038/s41598-017-15761-3

http://scihub22266oqcxt.onion/10.1038/s41598-017-15761-3
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C5684223!5684223!29133921
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suck abstract from ncbi


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pmid29133921      Sci+Rep 2017 ; 7 (ä): ä
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  • Metabolomics identifies metabolite biomarkers associated with acute rejection after heart transplantation in rats #MMPMID29133921
  • Lin F; Ou Y; Huang CZ; Lin SZ; Ye YB
  • Sci Rep 2017[]; 7 (ä): ä PMID29133921show ga
  • The aim of this study was to identify metabolite biomarkers associated with acute rejection after heart transplantation in rats using a LC-MS-based metabolomics approach. A model of heterotopic cardiac xenotransplantation was established in rats, with Wistar rats as donors and SD rats as recipients. Blood and cardiac samples were collected from blank control rats (Group A), rats 5 (Group B) and 7 days (Group C) after heart transplantation, and pretreated rats 5 (Group D) and 7 days (Group E) post-transplantation for pathological and metabolomics analyses. We assessed International Society for Heart and Lung Transplantation (ISHLT) grades 0, 3B, 4, 1 and 1 rejection in groups A to E. There were 15 differential metabolites between groups A and B, 14 differential metabolites between groups A and C, and 10 differential metabolites between groups B and C. In addition, four common differential metabolites, including D-tagatose, choline, C16 sphinganine and D-glutamine, were identified between on days 5 and 7 post-transplantation. Our findings demonstrate that the panel of D-tagatose, choline, C16 sphinganine and D-glutamine exhibits a high sensitivity and specificity for the early diagnosis of acute rejection after heart transplantation, and LC-MS-based metabolomics approach has a potential value for screening post-transplantation biomarkers.
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