This study aims to test and validate the panel of study urinary biomarker to assess whether (1) reference values differ between paediatric renal transplant patients, patients with chronic kidney disease stage IV and V (CKD IV-V) and children without any disease, (2) characteristic changes in concentration profile may be observed after event-specific injury, (3) differences between paediatric renal transplant patients with AR and other causes of AKI can be detected, and (4) stratification of renal transplant patients to different histological types of AR is possible.
Despite advances in kidney transplantation, acute rejection (AR) is one of the primary risk factors for allograft kidney injury and function deterioration, and may have a significant impact on long-term graft survival, particularly in paediatric renal transplant patients. Against the background of the limited availability of kidney donor organs, the early recognition of AR is of particular interest to improve long-term allograft survival. Renal allograft biopsy remains the current gold standard for the diagnosis of kidney transplant rejection. However, it is an invasive procedure associated with the risk of bleeding, infection of the renal allograft, arterio-venous fistula, introducing sampling error, and a large inter-observer variation. Therefore, urinary biomarkers from minimally invasive compartments would be helpful for the early detection of clinical rejection before graft functional decline occurs. The current standard monitoring of the renal transplant function includes measurements of serum-creatinine (SCr) levels, estimatedglomerular filtration rate (eGFR), and proteinuria. These markers exhibit a lack of sensitivity and specificity and are late indicators for molecular and cellular events following AR. Furthermore, conditions other than AR (viral and bacterial infection, calcineurin nephrotoxicity, acute ischemic injury) resemble similar morphological features within the renal allograft challenging detection and differentiation of the underlying process. Early treatment of AR could lead to diminished histological injury and improved functional outcome. An intensified immunosuppression management represents the main strategy to counteract the uncontrolled attack of the recipient´s immune system against the renal allograft. Not surprisingly, many attempts have been made to develop new biomarkers to improve the precision and accuracy in detecting AR for optimizing immunosuppression management. Because allograft reactive cells can gain access to the urinary space, urine represents an appropriate biospecimen to investigate allograft injury. The study urinary biomarkers have been partially discovered and characterized in the past for detection of acute kidney injury (AKI), rarely in renal transplant patients. This study aims to test and validate the panel of study urinary biomarker to assess whether (1) reference values differ between paediatric renal transplant patients, patients with chronic kidney disease stage IV and V (CKD IV-V) and children without any disease, (2) characteristic changes in concentration profile may be observed after event-specific injury, (3) differences between paediatric renal transplant patients with AR and other causes of AKI can be detected, and (4) stratification of renal transplant patients to different histological types of AR is possible.
Study Type
OBSERVATIONAL
Enrollment
186
collection of 500µl to 1 ml of a spot urine sample
University Children's Hospital Tuebingen
Tübingen, Germany
Change of serum creatinine level [mg/dl]
Standard surveillance parameter of kidney function / renal allograft
Time frame: from Baseline up to 18 months
Change of serum urea level [mg/dl]
Standard surveillance parameter of kidney function / renal allograft
Time frame: from Baseline up to 18 months
Change of serum Cystatin C level [mg/l]
Standard surveillance parameter of kidney function / renal allograft
Time frame: from Baseline up to 18 months
Measurement of urine creatinine level [g/l]
Standard surveillance parameter of renal function / renal allograft. All urinary study biomarkers (see below) will be correlated to urine creatinine level \[ng/mg Creatinine\] and compared with standard surveillance parameters of kidney function / renal allograft (see Outcome 1-3).
Time frame: from Baseline up to 18 months
Change of urine alpha-1-Microglobulin (A1M)
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Aquaporin 2 (AQP2) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Caldesmon [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Clusterin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Cystatin C [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Interleukin 9 (IL-9) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Kidney injury molecule 1 (Kim-1) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Nephrin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Neutrophil gelatinase-associated lipocalin (NGAL) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Osteopontin (OPN) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine P-selectin (SELP) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Podocin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Retinol-binding protein 4 (RBP4) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Smoothelin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Synaptopodin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine tumour necrosis factor alpha (TNF-α) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine vascular cell adhesion molecule-1 (VCAM-1)
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
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