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临床试验/NCT01515605
NCT01515605招募中不适用

Molecular Biological and Moleculargenetic Monitoring of Therapy After Kidney Transplantation

Odense University Hospital1 个研究点 分布在 1 个国家目标入组 1,500 人开始时间: 2011年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
1,500
试验地点
1
主要终点
Cellular transcripts

研究概览

简要总结

Molecular monitoring is conducted in blood cells, plasma samples, urine samples and/or tissue from patients after kidney transplantation. In the present study the investigators examine the hypothesis that noninvasive diagnostic molecular monitoring can improve the outcome after transplantation.

Routine clinical and laboratory data from serum and urine are evaluated at baseline and after 0-1-2-3-4-12-16-52 weeks and 1-2-3-4-5-6-7-8-9-10 years after kidney transplantation. Mononuclear cells were obtained from the blood and transcripts of several diagnostic genes (including GATA3 (Trans-acting T-cell-specific transcription factor3), GATA4 (Trans-acting T-cell-specific transcription factor4), GAPDH (Glyceraldehyde 3-phosphate dehydrogenase), TRPC3 (Transient receptor potential cononical type3), TRPC6 (Transient receptor potential cononical type6), granzyme B, perforin, FOXP3 (Forkhead box P3), ISG15 (Interferon-stimulated gene 15), Mx1 (Interferon-induced GTP-binding protein), MMP3 (Matrix metalloproteinase-3), MMP9 (Matrix metalloproteinase-9), long-non-coding RNA, and others) are quantified using standard quantitative RT-PCR (Reverse transcription polymerase chain reaction) techniques. Proteomic analysis were performed in plasma and urine samples. Polymorphisms of selected genes are analyzed using standard techniques. Data are analyzed by descriptive statistics. Differences between groups were analyzed using Mann-Whitney test or Kruskal-Wallis-test and Dunn's multiple comparison post-test, as appropriate. Associations between variables are analyzed using regression analyses. Contingency tables are analyzed using Fisher's exact test.

详细描述

Molecular monitoring is conducted in blood cells, plasma samples, urine samples and/or tissue from recipients after kidney transplantation and donors. In the present study the investigators examine the hypothesis that noninvasive diagnostic molecular monitoring can improve the outcome after transplantation.

Routine clinical and laboratory data from serum and urine are evaluated at baseline and after 0-1-2-3-4-12-16-52 weeks and 1-2-3-4-5-6-7-8-9-10 years, after kidney transplantation. Mononuclear cells were obtained from the blood and transcripts of several diagnostic genes (including GATA3 (Trans-acting T-cell-specific transcription factor3), GATA4 (Trans-acting T-cell-specific transcription factor4), GAPDH (Glyceraldehyde 3-phosphate dehydrogenase), TRPC3 (Transient receptor potential cononical type3), TRPC6 (Transient receptor potential cononical type6), granzyme B, perforin, FOXP3 (Forkhead box P3), ISG15 (Interferon-stimulated gene 15), Mx1 (Interferon-induced GTP-binding protein), MMP3 (Matrix metalloproteinase-3), MMP9 (Matrix metalloproteinase-9), long-non-coding RNA, and others) are quantified using standard quantitative RT-PCR (Reverse transcription polymerase chain reaction) techniques. Proteomic analysis were performed in plasma and urine samples. Polymorphisms of selected genes are analyzed using standard techniques.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients after kidney transplantation, male, female, informed consent

排除标准

  • Deny of informed consent

结局指标

主要结局

Cellular transcripts

时间窗: Day1

Transcripts and protein

次要结局

  • Plasma proteome(Day29)
  • Association of kidney function, glomerular filtration rate, infections, therapy(Month12)
  • Cellular transcripts(Day29)
  • Urine proteome(Day29)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Martin Tepel

Dr

Odense University Hospital

研究点 (1)

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