Ischemia Reperfusion Injury Clinical Trial
— TOPVASOfficial title:
The Renal Transplant Outcome Prediction and Validation Study (TOPVAS)
Verified date | March 2019 |
Source | Medical University Innsbruck |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The number of patients with end stage renal disease is increasing continuously and kidney
transplantation is the preferred treatment modality. Modern immunosuppressive therapy has
reduced the number of acute rejection episodes and increased one year allograft survival
dramatically. Nonetheless, 4% of allografts are lost beyond the first year annually due to a
multifactorial process and the latter number has not changed for decades. One of the most
important factors to determine long-term success after kidney transplantation is the quality
of the donor organ. For example, transplantation of organs from elderly or extended criteria
donors results in reduced allograft and patient survival.
In previous work, the investigators specifically focused on age-associated molecular
signatures including telomere length and mRNA expression levels of the cell cycle inhibitors
CDKN2A (p16INK4a) and CDKN1A (p21WAF1) and assessed these parameters in pre-implantation
biopsies of 54 patients. In a linear regression analysis CDKN2A turned out to be the best
single predictor for serum creatinine after 1 year followed by donor age and telomere length.
A multiple linear regression analysis revealed that the combination of CDKN2A values and
donor age yielded even higher predictive values. In another study the investigators were able
to show an interaction between donor age and use of calcineurin inhibitors with regard to
outcome after renal transplantation.
During these past activities an extensive set of whole genome transcriptomics profile
information from zero hour biopsies and clinical follow-up data has been collected. In the
TOPVAS study, existing data derived from 72 of the above mentioned set of biopsies (exclusion
of live donor grafts) will be analysed with state of the art bioinformatical/system biology
tools to derive a general (not purely age associated) prognostic biomarker panel for
functional transplant outcome two years after transplantation. This marker panel will also be
used to define organs preferentially suitable for MMF/tacrolimus based immunosuppression.
Both panels will then be validated for their prognostic and predictive information on the
long-term outcome after transplantation in a new independent patient population treated with
tacrolimus and MMF. In addition to biomarker assessment and in pursue of identifying
alternative and/or complementary parameters with predictive value , an advanced morphological
investigation of tissue biopsy life stains will be performed employing an innovative cell
viability staining technology ("BIOPSYCHRONOLOGY").
Status | Active, not recruiting |
Enrollment | 113 |
Est. completion date | March 31, 2020 |
Est. primary completion date | March 31, 2020 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Written informed consent - Recipient age > 18 years - First or second deceased donor kidney transplantation - Panel reactive antibody frequency <50% Exclusion Criteria: - Combined kidney transplantation with another organ - Living donor kidney transplantation - TOPVAS is a interventional prospective cohort study and participation of patients in other randomized prospective interventional trials does not per se violate the protocol |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Medical University Innsbruck |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The number of dialysis in the first 7 days post transplant | The need of at least one dialysis within the first 7 days post transplant. | 7 days | |
Primary | Kidney parenchyma quality | Live and dead cells in the kidney biopsy will be quantified using the dyes Syto-16/PI and WGA will be calculated as follows: Groups: The number of dead/live cells will be entered in the following groups Total count (irrespective of localization). Tubular area (cells from the tubular area) Glomerular area (cells from the glomerulus) For each group the number of viable cells will be divided by the number of dead cells. (+1) Using this approach we will obtain for highly viable biopsies/areas high numbers, bigger than (0) For biopsies/areas in which the number of viable cells equals the one of dead cells we will obtain 1. (-1) For those in which the number of dead cells outnumbers the one of live cells, numbers between 1 and 0 will be obtained. For each biopsy, a score will be calculated which will consist of the two tubular areas and the glomerular area. Therefore a maximum of +3 points can be achieved, or in the worst case -3. |
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