Zago Maria Paola, Wiktorowicz John E, Spratt Heidi, Koo Sue-Jie, Barrientos Natalia, Nuñez Burgos Aida, Nuñez Burgos Julio, Iñiguez Facundo, Botelli Valentina, Leon de la Fuente Ricardo, Garg Nisha Jain
Instituto de Patología Experimental, CONICET-UNSa, Salta, Argentina.
Department of Biochemistry and Molecular Biology, University of Texas Medical Branch (UTMB), Galveston, TX, United States.
Front Microbiol. 2019 Jan 15;9:3320. doi: 10.3389/fmicb.2018.03320. eCollection 2018.
infection causes Chagas disease (ChD) presented by dilated cardiomyopathy and heart failure. During infection, oxidative and nitrosative stresses are elicited by the immune cells for control the pathogen; however, excess nitric oxide and superoxide production can result in cysteine S-nitrosylation (SNO) of host proteins that affects cellular homeostasis and may contribute to disease development. To identify the proteins with changes in SNO modification levels as a hallmark of ChD, we obtained peripheral blood mononuclear cells (PBMC) from seronegative, normal healthy (NH, = 30) subjects, and from seropositive clinically asymptomatic (ChD CA, = 25) or clinically symptomatic (ChD CS, = 28) ChD patients. All samples were treated (Asc+) or not-treated (Asc) with ascorbate (reduces nitrosylated thiols), labeled with the thiol-labeling BODIPY FL-maleimide dye, resolved by two-dimensional electrophoresis (total 166 gels), and the protein spots that yielded significant differences in abundance or SNO level at -value of ≤ 0.05 were identified by MALDI-TOF/TOF MS or OrbiTrap LC-MS/MS. Targeted analysis of a new cohort of PBMC samples ( = 10-14/group) was conducted to verify the differential abundance/SNO levels of two of the proteins in ChD (vs. NH) subjects. The multivariate adaptive regression splines (MARS) modeling, comparing differences in relative SNO level (Asc/Asc+ ratio) of the protein spots between any two groups yielded SNO biomarkers that exhibited ≥90% prediction success in classifying ChD CA (582-KRT1 and 884-TPM3) and ChD CS (426-PNP, 582-KRT1, 486-ALB, 662-ACTB) patients from NH controls. Ingenuity Pathway Analysis (IPA) of the SNO proteome dataset normalized to changes in protein abundance suggested the proteins belonging to the signaling networks of cell death and the recruitment and migration of immune cells were most affected in ChD CA and ChD CS (vs. NH) subjects. We propose that SNO modification of the select panel of proteins identified in this study have the potential to identify ChD severity in seropositive individuals exposed to infection.
感染导致由扩张型心肌病和心力衰竭表现出的恰加斯病(ChD)。在感染期间,免疫细胞引发氧化应激和亚硝化应激以控制病原体;然而,过量的一氧化氮和超氧化物产生可导致宿主蛋白的半胱氨酸S-亚硝基化(SNO),这会影响细胞内稳态并可能促成疾病发展。为了鉴定SNO修饰水平发生变化作为ChD标志的蛋白质,我们从血清阴性的正常健康(NH,n = 30)受试者以及血清阳性的临床无症状(ChD CA,n = 25)或临床有症状(ChD CS,n = 28)的ChD患者中获取外周血单核细胞(PBMC)。所有样品用抗坏血酸盐处理(Asc +)或不处理(Asc)(抗坏血酸盐可还原亚硝基化硫醇),用硫醇标记的BODIPY FL-马来酰亚胺染料标记,通过二维电泳分离(共166块凝胶),并且通过基质辅助激光解吸电离飞行时间质谱/串联飞行时间质谱(MALDI-TOF/TOF MS)或轨道阱液相色谱-串联质谱(OrbiTrap LC-MS/MS)鉴定在P值≤0.05时丰度或SNO水平产生显著差异的蛋白质斑点。对一组新的PBMC样品(每组n = 10 - 14)进行靶向分析,以验证ChD(与NH相比)受试者中两种蛋白质的差异丰度/SNO水平。多变量自适应回归样条(MARS)建模,比较任意两组之间蛋白质斑点的相对SNO水平(Asc/Asc +比率)差异,产生了SNO生物标志物,其在将ChD CA(582-KRT1和884-TPM3)和ChD CS(426-PNP、582-KRT1、486-ALB、662-ACTB)患者与NH对照分类时表现出≥90%的预测成功率。对归一化至蛋白质丰度变化的SNO蛋白质组数据集进行 Ingenuity 通路分析(IPA)表明,属于细胞死亡信号网络以及免疫细胞募集和迁移的蛋白质在ChD CA和ChD CS(与NH相比)受试者中受影响最大。我们提出,本研究中鉴定的选定蛋白质组的SNO修饰有可能在暴露于感染的血清阳性个体中识别ChD的严重程度。