Renal Transplant Rejection
Conditions
Keywords
kidney, transplant, rejection, Feraheme, ferumoxytol
Brief summary
The goal of this study is to develop a non-invasive imaging test for in vivo detection of kidney transplant rejection. The hypotheses are that 1) Ferumoxytol-MRI can generate accurate estimates of tissue iron concentrations and tissue macrophages. 2) The signal given by a renal allograft on Ferumoxytol-MRI demonstrates significant differences between rejected and non-rejected transplants.
Detailed description
In children with kidney transplants, immunologically mediated rejection is the major cause of allograft failure. Thus, the therapeutic success of kidney transplants is highly dependent on the ability to avoid rejection during both the acute and chronic phase after transplantation. Children with kidney transplants currently undergo at least three routine (protocol) biopsies during the first two years after the transplantation in addition to biopsies required to investigate deterioration of kidney function. These biopsies are invasive and nearly always require general anesthesia, causing anxiety and distress of the patients and their parents, as well as significant costs to our health care system. There is currently no non-invasive diagnostic tool capable of detecting rejection in vivo. Thus, the goal of this study is to develop a non-invasive imaging test for in vivo detection of kidney transplant rejection. The investigators propose to accomplish this goal by detecting macrophage infiltration in kidney transplants with iron oxide nanoparticle-enhanced MR imaging. Macrophages play a major role in transplant rejection. CD68-positive macrophages comprise approximately 50% of the infiltrating leukocyte population in renal allograft rejection, they co-localize with areas of tissue-damage and fibrosis, and are preponderant in more severe forms of rejection. The investigators hypothesize that iron oxide nanoparticle-enhanced MR imaging can detect differences in macrophage infiltrations in renal allografts undergoing rejection as opposed to allografts without significant rejection. This hypothesis is based on the bio-physical properties of intravenously injected superparamagnetic iron oxide nanoparticles, which are phagocytosed by tissue macrophages and cause strong signal effects on MR images. The specific aims of the study are the following: Aim #1. Technical Development of a Quantitative Susceptibility Mapping (QSM)-Sequence for in vivo MRI detection and quantification of iron oxide nanoparticle-labeled macrophages.This aim will focus on the technical development of Quantitative Susceptibility Mapping (QSM), a novel MR imaging pulse sequence that will be used to accurately quantify the tissue concentration of free ferumoxytol and ferumoxytol in macrophages in renal allografts. Based on pulse sequence optimizations of phantoms with known concentrations of free and cell-bound iron, we expect to generate accurate estimates of tissue iron concentrations and macrophages with the QSM-MRI method. Aim #2. Detect rejection in kidney allografts with ferumoxytol-enhanced MRI. The investigators hypothesize that ferumoxytol can detect and quantify macrophages in kidney allografts, based upon the observation that iron oxide nanoparticles can be taken up by macrophages in malignant tumors. The investigators will evaluate the ability of ferumoxytol to map macrophage quantities in renal allografts, with histopathological correlation. We expect significantly higher ferumoxytol-MRI enhancement and macrophage quantities in rejected allografts compared to non-rejected allografts.
Interventions
Therapeutic classification: iron preparations. Use: Off-label use of ultrasmall paramagnetic iron nanoparticle as contrast agent for magnetic resonance imaging
All patients will undergo
Sponsors
Study design
Eligibility
Inclusion criteria
* Completed solid organ transplant with referral for transplant follow-up
Exclusion criteria
*
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Radiologically Detectable Differences in Signal Intensity Between Healthy and Rejected Kidneys, Measured Using T2* Maps | 24 hours to 7 days | According to the study hypothesis, macrophage infiltration into rejected kidneys will be significantly greater than in healthy kidneys; since macrophages are expected to phagocytose injected iron, there should be a detectable difference in signal intensity between healthy and rejected organs. This can be evaluated using semiquantitative T2\* maps. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlation of Cell-bound Iron Quantities on QSM Sequences With Macrophage and Iron Stains on Histopathology | 3 weeks | To evaluate our ability to quantify cell-bound iron using the novel QSM sequence, we use histopathological data showing 1) the iron content of renal tissue sampled, and 2) the level of macrophage infiltration of the renal tissue. We will perform iron and macrophage stains in biopsy tissues in order to determine this. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Feraheme Intravenous injection of Feraheme, 5 mg Fe/kg
Interventions:
Drug: Feraheme Procedure: MR Scan
Feraheme: Therapeutic classification: iron preparations. Use: Off-label use of ultrasmall paramagnetic iron nanoparticle as contrast agent for magnetic resonance imaging
MRI-GE Healthcare 3 Tesla magnet: All patients will undergo | 21 |
| Total | 21 |
Baseline characteristics
| Characteristic | Feraheme |
|---|---|
| Age, Categorical <=18 years | 14 Participants |
| Age, Categorical >=65 years | 0 Participants |
| Age, Categorical Between 18 and 65 years | 7 Participants |
| Age, Continuous | 17.8 years STANDARD_DEVIATION 2.8 |
| Drug allergies, specifically against iron compounds | 0 Participants |
| Ethnicity (NIH/OMB) Hispanic or Latino | 9 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 12 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants |
| GFR Normal | 90 ml/min/1.73 m2 STANDARD_DEVIATION 29 |
| GFR Rejection | 52 ml/min/1.73 m2 STANDARD_DEVIATION 24 |
| MRI Compatibility | 21 Participants |
| Number of Patients with Kidney Transplant | 21 Participants |
| Pregnancy | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants |
| Race (NIH/OMB) Asian | 2 Participants |
| Race (NIH/OMB) Black or African American | 3 Participants |
| Race (NIH/OMB) More than one race | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 1 Participants |
| Race (NIH/OMB) White | 15 Participants |
| Region of Enrollment United States | 21 participants |
| Sex: Female, Male Female | 9 Participants |
| Sex: Female, Male Male | 12 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 21 |
| other Total, other adverse events | 0 / 21 |
| serious Total, serious adverse events | 0 / 21 |
Outcome results
Radiologically Detectable Differences in Signal Intensity Between Healthy and Rejected Kidneys, Measured Using T2* Maps
According to the study hypothesis, macrophage infiltration into rejected kidneys will be significantly greater than in healthy kidneys; since macrophages are expected to phagocytose injected iron, there should be a detectable difference in signal intensity between healthy and rejected organs. This can be evaluated using semiquantitative T2\* maps.
Time frame: 24 hours to 7 days
Population: T2\* value of transplant kidney
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Feraheme | Radiologically Detectable Differences in Signal Intensity Between Healthy and Rejected Kidneys, Measured Using T2* Maps | No Rejection | 23.3 ms (delayed postcontrast scans) | Standard Deviation 5.4 |
| Feraheme | Radiologically Detectable Differences in Signal Intensity Between Healthy and Rejected Kidneys, Measured Using T2* Maps | Rejection | 31.1 ms (delayed postcontrast scans) | Standard Deviation 14.4 |
Correlation of Cell-bound Iron Quantities on QSM Sequences With Macrophage and Iron Stains on Histopathology
To evaluate our ability to quantify cell-bound iron using the novel QSM sequence, we use histopathological data showing 1) the iron content of renal tissue sampled, and 2) the level of macrophage infiltration of the renal tissue. We will perform iron and macrophage stains in biopsy tissues in order to determine this.
Time frame: 3 weeks
Population: CD163 positive macrophages
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Feraheme | Correlation of Cell-bound Iron Quantities on QSM Sequences With Macrophage and Iron Stains on Histopathology | 0 correlation coefficient |