Immune Function as Predictor of Infectious Complications and Clinical Outcome in Patients Undergoing Solid Organ Transplantation

Transplant

Transplant, Infection, rejection, immunology

At Rigshospitalet, Denmark, we will examine the immune function of solid organ transplant recipients before and at several timepoints after transplantation as well as the clinical outcome, especially the risk of infections complications and graft rejections. The immune function will be assessed with a complete immunological profiling consisting of immune phenotype (flow cytometry), immune function (TruCulture®) and circulating biomarkers. The study aims to generate prediction models of patients at excess risk of poor clinical outcome, with the ultimate intent to propose personalized immunosuppressive regimes to be tested in future randomized clinical trials.

Background: Solid organ transplantation (SOT) is an increasingly used life-saving treatment for end-stage organ failure. Organ rejection and infections are the main complication to SOT and the balance of immunosuppression is of major importance to prevent these complications. However, to date the only mode to monitor treatment is by assessing drug concentrations, which has low correlation with the clinical outcome and does not represent the net state of immunosuppression. Methods: Prospectively the investigators plan to enroll 600 adult patients on the waiting list for SOT or with a planned transplantation at Rigshospitalet, Denmark. Prior to transplantation and on different time points up to two years post-transplantation we will perform a complete immunological profile. This profile will consist of classical descriptive immune phenotyping (flowcytometry), circulating biomarkers and the functional assay TruCulture®. In TruCulture® whole blood is stimulated with stimulants imitating bacterial, viral and fungal infections, where after a panel of selected cytokines is quantified. Clinical data from electronic health records will be obtained retrospectively from the PERSIMUNE data repository. These data are generated as part of routine care and include vital signs, biochemistry-, microbiological-, pathological-results as well as data about medication, demographics, diagnoses, hospital contacts, surgical procedures and mortality. Discussion: This will be the first large scale study to determine several aspects of immune function and perform a complete immunological profiling in SOT recipients. It is expected that this new knowledge will provide information to generate prediction models identifying patients at increased risk of infection and/or rejection. If the study is successful, the investigators will subsequently use the generated prediction models to propose personalized immunosuppressive regimens to be tested in future randomized controlled trials.

Denmark