Kidney Transplant Crossmatching and the Role of Eplets
Crossmatching for kidney transplantation is primarily performed using flow cytometry or complement-dependent cytotoxicity (CDC) assays to detect recipient antibodies against donor HLA antigens, with the goal of preventing hyperacute rejection and graft failure.
Crossmatching Methods and Interpretation
Standard Crossmatching Techniques
- Flow cytometry crossmatch: More sensitive method for detecting small quantities of alloantibodies 1
- Complement-dependent cytotoxicity (CDC) assay: Often enhanced with anti-human globulin (AHG) to increase sensitivity 1
- Virtual crossmatch: Assessment of compatibility by analyzing recipient anti-HLA antibody profiles and donor HLA typing without mixing physical samples 2
Critical Components of Crossmatching
Testing of informative recipient sera:
- Historically highest Panel Reactive Antibody (PRA) sera
- Current sera
- Immediate pre-transplant sera 1
Target cells:
- Donor lymphoid cells (T and B cells)
- Used to identify presence of IgG antibodies to donor HLA antigens 1
Interpretation of results:
- Positive flow cytometry or AHG-CDC crossmatch with IgG antibodies to HLA antigens is a contraindication to transplantation 1
- Positive crossmatch without HLA antibodies is not a contraindication (may be directed against non-HLA antigens) 1
- IgM-positive crossmatches are not contraindications to transplantation 1
Modern Approaches to Crossmatching
Virtual Crossmatch
- Assesses compatibility by analyzing:
- Recipient's anti-HLA antibody profile
- Donor's HLA typing 2
- Benefits include:
- Reduction in cold ischemia time
- No increase in hyperacute rejection episodes
- Logistically less challenging than physical crossmatches 2
Advanced Detection Methods
Solid-phase immunoassays (SPI):
ELISA and Flow Bead PRA:
Understanding Eplets in Transplantation
While not explicitly described in the provided evidence, eplets are:
- Small functional units (epitopes) of HLA molecules
- Represent the actual binding sites for antibodies
- More precise than traditional HLA antigen matching
- Important in understanding the "shared epitope phenomenon" where antibody strength can be underrepresented due to binding to competing targets on multiple antigens 4
Potential Complications and Pitfalls
False Positive Results
- Prior rituximab exposure of the kidney donor can lead to false positive B-cell crossmatches 5
- This occurs because rituximab (anti-CD20) binds to B cells and can interfere with crossmatch testing
Shared Epitope Phenomenon
- Can lead to underrepresentation of antibody strength or completely missed antibodies
- Occurs when antibodies bind to competing targets on multiple antigens/beads
- Results in "diluted" mean fluorescence intensity (MFI) readings 4
Special Considerations
ABO Compatibility
- ABO compatibility is crucial for preventing hyperacute rejection
- For ABO-incompatible transplants, special attention to blood product selection is required 6
Highly Sensitized Recipients
- Patients with high PRA remain a clinical challenge
- Desensitization protocols may include:
- Plasmapheresis
- Immunoadsorption
- Intravenous immunoglobulin
- Intensified immunosuppression 1
Previous Transplants
- Matching donor-recipient HLA antigens is particularly important for patients with prior transplants
- Strongly recommended not to re-expose a recipient to an HLA class II antigen of a previously rejected allograft 1
Algorithm for Crossmatching in Kidney Transplantation
Initial screening:
- ABO compatibility determination
- HLA typing of donor and recipient 1
Antibody detection:
- Test recipient sera for presence of IgG antibodies to HLA antigens
- Determine PRA status 1
Crossmatch testing:
- Flow cytometry or AHG-CDC crossmatch using highest PRA, current, and pre-transplant sera
- Determine if positive results are due to IgG or IgM antibodies 1
Result interpretation:
- Negative crossmatch or IgM-positive: Proceed with transplantation
- IgG-positive against HLA antigens: Contraindication to transplantation
- Consider virtual crossmatch for risk stratification 2
By following this structured approach to crossmatching, transplant teams can minimize the risk of hyperacute rejection and optimize graft outcomes while making the most efficient use of available donor organs.