RESUMO
Biomarker profiling is being rapidly incorporated in many areas of modern medical practice to improve the precision of clinical decision-making. This potential improvement, however, has not been transferred to the practice of organ assessment and transplantation because previously developed gene-profiling techniques require an extended period of time to perform, making them unsuitable in the time-sensitive organ assessment process. We sought to develop a novel class of chip-based sensors that would enable rapid analysis of tissue levels of preimplantation mRNA markers that correlate with the development of primary graft dysfunction (PGD) in recipients after transplant. Using fractal circuit sensors (FraCS), three-dimensional metal structures with large surface areas, we were able to rapidly (<20 min) and reproducibly quantify small differences in the expression of interleukin-6 (IL-6), IL-10, and ATP11B mRNA in donor lung biopsies. A proof-of-concept study using 52 human donor lungs was performed to develop a model that was used to predict, with excellent sensitivity (74%) and specificity (91%), the incidence of PGD for a donor lung. Thus, the FraCS-based approach delivers a key predictive value test that could be applied to enhance transplant patient outcomes. This work provides an important step toward bringing rapid diagnostic mRNA profiling to clinical application in lung transplantation.
RESUMO
BACKGROUND: Normothermic ex vivo lung perfusion (EVLP) is a preservation technique that allows reassessment of donor lungs before transplantation. We hypothesized that the endothelin-1 (ET-1) axis would be associated with donor lung performance during EVLP and recipient outcomes after transplantation. METHODS: ET-1, Big ET-1, endothelin-converting enzyme (ECE), and nitric oxide (NO) metabolites were quantified in the perfusates of donor lungs enrolled in a clinical EVLP trial. Lungs were divided into 3 groups: (I) Control: bilateral transplantation with good early outcomes defined as absence of primary graft dysfunction (PGD) Grade 3 (PGD3) ; (II) PGD3: bilateral lung transplantation with PGD3 any time within 72 hours; and (III) Declined: lungs rejected after EVLP. RESULTS: There were 25 lungs in Group I, 7 in Group II, and 16 in Group III. At 1 and 4 hours of EVLP, the perfusates of Declined lungs had significantly higher levels of ET-1 (3.1 ± 2.1 vs. 1.8±2.3 pg/ml, p = 0.01; 2.7 ± 2.2 vs. 1.3 ± 1.1 pg/ml, p = 0.007) and Big ET-1 (15.8 ± 14.2 vs. 7.0 ± 6.5 pg/ml, p = 0.001; 31.7 ± 17.4 vs. 19.4 ± 9.5 pg/ml, p = 0.007) compared with Controls. Nitric oxide metabolite concentrations were significantly higher in Declined and PGD3 lungs than in Controls. For cases of donation after cardiac death, PGD3 and Declined lungs had higher ET-1 and Big ET-1 levels at 4 hours of perfusion compared with Controls. At this time point, Big ET-1 had excellent accuracy to distinguish PGD3 (96%) and Declined (92%) from Control lungs. CONCLUSIONS: In donation after cardiac death lungs, perfusate ET-1 and Big ET-1 are potential predictors of lung function during EVLP and after lung transplantation. They were also associated with non-use of lungs after EVLP and thus could represent useful biomarkers to improve the accuracy of donor lungs selection.