EpHLA software: a timesaving and accurate tool for improving identification of acceptable mismatches for clinical purposes.

UNLABELLED: The HLAMatchmaker algorithm, which allows the identification of "safe" acceptable mismatches (AMMs) for recipients of solid organ and cell allografts, is rarely used in part due to the difficulty in using it in the current Excel format. The automation of this algorithm may universalize its use to benefit the allocation of allografts. Recently, we have developed a new software called EpHLA, which is the first computer program automating the use of the HLAMatchmaker algorithm. Herein, we present the experimental validation of the EpHLA program by showing the time efficiency and the quality of operation. The same results, obtained by a single antigen bead assay with sera from 10 sensitized patients waiting for kidney transplants, were analyzed either by conventional HLAMatchmaker or by automated EpHLA method. Users testing these two methods were asked to record: (i) time required for completion of the analysis (in minutes); (ii) number of eplets obtained for class I and class II HLA molecules; (iii) categorization of eplets as reactive or non-reactive based on the MFI cutoff value; and (iv) determination of AMMs based on eplets' reactivities. We showed that although both methods had similar accuracy, the automated EpHLA method was over 8 times faster in comparison to the conventional HLAMatchmaker method. In particular the EpHLA software was faster and more reliable but equally accurate as the conventional method to define AMMs for allografts. CONCLUSION: The EpHLA software is an accurate and quick method for the identification of AMMs and thus it may be a very useful tool in the decision-making process of organ allocation for highly sensitized patients as well as in many other applications.

EpHLA: an innovative and user-friendly software automating the HLAMatchmaker algorithm for antibody analysis.

UNLABELLED: The global challenge for solid organ transplantation programs is to distribute organs to the highly sensitized recipients. The purpose of this work is to describe and test the functionality of the EpHLA software, a program that automates the analysis of acceptable and unacceptable HLA epitopes on the basis of the HLAMatchmaker algorithm. HLAMatchmaker considers small configurations of polymorphic residues referred to as eplets as essential components of HLA-epitopes. Currently, the analyses require the creation of temporary files and the manual cut and paste of laboratory tests results between electronic spreadsheets, which is time-consuming and prone to administrative errors. RESULTS: The EpHLA software was developed in Object Pascal programming language and uses the HLAMatchmaker algorithm to generate histocompatibility reports. The automated generation of reports requires the integration of files containing the results of laboratory tests (HLA typing, anti-HLA antibody signature) and public data banks (NMDP, IMGT). The integration and the access to this data were accomplished by means of the framework called eDAFramework. The eDAFramework was developed in Object Pascal and PHP and it provides data access functionalities for software developed in these languages. The tool functionality was successfully tested in comparison to actual, manually derived reports of patients from a renal transplantation program with related donors. CONCLUSIONS: We successfully developed software, which enables the automated definition of the epitope specificities of HLA antibodies. This new tool will benefit the management of recipient/donor pairs selection for highly sensitized patients.