Multiplex proteomics using proximity extension assay for the identification of protein biomarkers predictive of acute graft-vs.-host disease in allogeneic hematopoietic cell transplantation

多路复用 医学 移植 逻辑回归 造血干细胞移植 免疫学 内科学 曲线下面积 生物标志物 胃肠病学 造血 髓样 移植物抗宿主病 肿瘤科 生物 干细胞 生物信息学 生物化学 遗传学
作者
Ivan Pašić,Annie Ren,Ram Vasudevan Nampoothiri,Ioannis Prassas,Jeffrey H. Lipton,Jonas Mattsson,Eleftherios P. Diamandis,Fotios V. Michelis
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
卷期号:61 (6): 1005-1014 被引量:3
标识
DOI:10.1515/cclm-2022-0916
摘要

Abstract Objectives Allogeneic hematopoietic cell transplantation (HCT) is associated with acute graft-vs.-host disease (aGVHD). The presented study applied a novel multiplex antibody-based proximity extension assay (PEA) proteomic platform that can detect thousands of serum proteins simultaneously for the identification of potential biomarkers of aGVHD. Methods Serum samples from 28 patients who underwent allogeneic HCT for acute myeloid leukemia (AML) were analyzed; 17 were diagnosed with grade II–IV aGVHD while 11 patients were not. Samples collected on day −6, day 0, +14, +30, +60 and +90 post-HCT were analyzed for the relative concentrations of 552 proteins. The concentration of each protein from baseline to the closest time point before onset of aGVHD, or to the latest time point in control patients, was documented. Results Individualized analysis identified 26 proteins demonstrating ≥3-fold increase at aGVHD onset compared to baseline, eliminating proteins with a similar increase in controls. Another approach used paired t-testing and logistic regression that identified a four-marker panel, including SLAMF7, IL-1ra, BTN3A2 and DAB2, where individual log-likelihood ratios ranged from 3.99 to 8.15 (logistic regression, p=0.004–0.046). When combined, the four-marker panel demonstrated an area under the curve (AUC) of 0.90 (95% CI: 0.78–1.00; p=0.0006) with high negative predictive value of 81.8% and positive predictive value of 86.7%. All four markers play a physiological role in immune regulation. Among these, three were also present in the individualized analysis (SLAMF7, IL-1ra and BTN3A2). Conclusions We conclude that serum proteins identified using multiplex proteomics, particularly SLAMF7, IL-1ra, BTN3A2 and DAB2, may potentially predict aGVHD.
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