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Primary Studies on Proteomic Fingerprints of Renal Allograft Rejection by Seldi-Tof Ms

Author: ChenRongYan
Tutor: LanXiaoPeng
School: Fujian Medical
Course: Clinical Laboratory Science
Keywords: Kidney transplant Acute rejection SELDI-TOF MS Proteomics
CLC: R699.2
Type: Master's thesis
Year: 2009
Downloads: 30
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Abstract


The purpose of looking for acute renal transplant rejection reaction serum specific protein markers for clinical renal transplant acute rejection reaction of non-invasive early diagnosis, early warning and specific markers screening sensitive laboratory indicators. Methods the Ciphergen PBS Ⅱ surface-enhanced laser desorption ionization time-of-flight mass spectrometer (a surface-enhanced laser desorption effect / ionizationtime of the flight massspectrometry SELDI-TOF-MS) proteomics research platform for renal transplant patients with preoperative and postoperative serum detected five cases of pathological diagnosis of acute rejection group (30 serum samples), 25 patients with postoperative stable group (serum samples of 50), 15 patients with uremia disease control group (serum samples from a total of 30 copies). BMW (Biomarker Wizard) software and BPSS5.0 (Biomarker patterns systems) software to analyze protein peaks, to establish the diagnosis model, double-blind verify this model, and acute rejection group longitudinal analysis of individual patients. Results of the M / Z 1000-100000 range of acute renal transplant rejection reaction group and postoperative stable group of serum were detected 188 distinct proteins (p <0.05), of which there are 51 significant differentially expressed proteins P <0.001, these differences significant the protein peak gathered in the range of 3888 to 5905,7344 to 9501 and 11342 to 11940,12149 to 14687. BMW software analysis found 24 protein peaks from the disease control group to the acute rejection group, stable survival group in ascending order or descending trend in these protein peaks, of which 14 protein peaks in ascending order, descending order 10. BPS software analysis the screening out M of 8 136 and M5872 two protein peaks of protein mass spectrometry classification decision tree, can judge acute renal transplant rejection group, stable survival of the group as well as disease control group, sensitivity high, specificity, and can be used to determine renal transplant acute rejection group exclusion and remission. Conclusion SELDI-TOF MS technology platform can be used to filter specific markers in the serum of patients with renal transplantation. Protein peak differences M-8136 and M-5872 diagnostic model sensitivity and specificity is high, can be used for the diagnosis of acute renal transplant rejection, and its early warning as well as the treatment of certain clinical significance. Differences in protein peaks obtained favor further study of acute renal transplant rejection pathogenesis.

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CLC: > Medicine, health > Surgery > Urology ( urinary and reproductive system diseases) > Urinary tract and male reproductive system surgery > Kidney surgery
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