Cocho Lidia, Fernández Itziar, Calonge Margarita, Sainz de la Maza Maite, Rovira Montserrat, Stern Michael E, Garcia-Vazquez Carmen, Enríquez-de-Salamanca Amalia
Institute of Applied OphthalmoBiology (IOBA), University of Valladolid, Valladolid, Spain.
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Carlos III National Institute of Health, Spain.
Invest Ophthalmol Vis Sci. 2017 Sep 1;58(11):4836-4846. doi: 10.1167/iovs.17-21670.
To determine if cytokine tear levels before hematopoietic stem cell transplantation (HSCT) can help anticipate the occurrence of ocular chronic graft-versus-host disease (cGVHD).
In this pilot study, 25 patients undergoing HSCT were followed prospectively for ≤43 months. After ocular examinations, tears were collected before HSCT. Levels of 19 cytokines (epidermal growth factor [EGF], eotaxin 1/CCL11, fractalkine/CX3CL1, IL-1Ra, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8/CXCL8, IL-10, IL-12p70, IL-13, IL-17A, IP-10/CXCL10, IFN-γ, VEGF, TNF-α, and RANTES/CCL5) were measured by multiplex bead assay. A multistate model (MSM) based on four states (HSCT, systemic cGVHD, ocular cGVHD, and death) was developed to identify cytokines associated with each transition probability. Molecules included in the final multivariable model were selected by a supervised principal components analysis. Bootstrap resampling internally validated the final MSM. Model discriminatory ability was determined by time-dependent receiver operating characteristic curves and the corresponding area under the curve (AUC).
The final model, based on fractalkine, IL-1Ra, and IL-6 tear levels, accurately influenced the transition between the four different states. The AUC for this model, based on a new variable built upon the combination of these three molecules, was 67% to 80% throughout follow-up and, thus, had good discriminatory ability.
In this prospective study, a model based on pre-HSCT tear levels of the inflammatory molecules fractalkine, IL-1Ra, and IL-6 had good prognostic ability for the development of ocular cGVHD after HSCT. These cytokines potentially could act as susceptibility biomarkers for the development of this disease after HSCT.
确定造血干细胞移植(HSCT)前细胞因子泪液水平是否有助于预测眼部慢性移植物抗宿主病(cGVHD)的发生。
在这项前瞻性试点研究中,对25例接受HSCT的患者进行了长达43个月的随访。眼部检查后,在HSCT前收集泪液。通过多重微珠分析法检测19种细胞因子(表皮生长因子[EGF]、嗜酸性粒细胞趋化因子1/CCL11、fractalkine/CX3CL1、IL-1Ra、IL-1β、IL-2、IL-4、IL-5、IL-6、IL-8/CXCL8、IL-10、IL-12p70、IL-13、IL-17A、IP-10/CXCL10、IFN-γ、VEGF、TNF-α和RANTES/CCL5)的水平。开发了一个基于四种状态(HSCT、全身性cGVHD、眼部cGVHD和死亡)的多状态模型(MSM),以识别与每种转变概率相关的细胞因子。通过监督主成分分析选择最终多变量模型中包含的分子。自举重采样对最终的MSM进行内部验证。通过时间依赖性受试者操作特征曲线和相应的曲线下面积(AUC)确定模型的鉴别能力。
基于fractalkine、IL-1Ra和IL-6泪液水平的最终模型准确地影响了四种不同状态之间的转变。基于这三种分子组合构建的新变量的该模型的AUC在整个随访期间为67%至80%,因此具有良好的鉴别能力。
在这项前瞻性研究中,基于HSCT前炎症分子fractalkine、IL-1Ra和IL-6泪液水平的模型对HSCT后眼部cGVHD的发生具有良好的预后能力。这些细胞因子可能作为HSCT后该疾病发生的易感性生物标志物。