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机构地区:[1]广州军区总医院检验科,广东广州510010 [2]广州医学院临床医学院,广东广州510182
出 处:《细胞与分子免疫学杂志》2011年第9期1010-1013,共4页Chinese Journal of Cellular and Molecular Immunology
基 金:全军"十一五"课题基金资助项目(08Z009)
摘 要:目的:应用细胞因子抗体芯片(CAC)分析脓毒症患者血清中炎性细胞因子表达的变化。方法:采用CAC技术平台,测定9例脓毒症患者(脓毒症组)和4例正常健康人(对照组)血清中79种细胞因子。以两组样本中每组至少有4个样品的杂交信号值超过400为有表达的蛋白,筛选出有表达的蛋白38个。应用芯片差异显著性分析(SAM)软件对38个有表达的蛋白进行差异表达分析。结果:筛选到胰岛素样生长因子结合蛋白-1(IGFBP-1)、肝细胞生长因子(HGF)、骨桥蛋白(Osteopotin)、胰岛素样生长因子结合蛋白-4(IGFBP-4)、干扰素诱导蛋白-10(IP-10)和B淋巴细胞趋化因子(BLC)等6个在脓毒症患者血清中高表达的细胞因子,以及血小板衍生生长因子-BB(PDGF-BB)、脑源性神经营养因子(BDNF)、巨噬细胞炎性蛋白(MIP-1β)、白细胞介素-8(IL-8)、表皮生长因子(EGF)和白介素-1β(IL-1β)等6个在脓毒症患者血清中低表达的细胞因子。聚类分析表明,上述这12个差异表达的细胞因子能够区分脓毒症和正常健康对照。结论:CAC是一种高效、快速的蛋白质组学技术,利用CAC从血清中筛选脓毒症相关蛋白分子标记物是可行的。AIM: To investigate the expression of inflammatory cytokines in patients with sepsis by cytokine antibody chips.METHODS: To screen the protein biomarker for rapidly diagnosing sepsis,79 cytokines in 9 cases of patients with sepsis and 4 cases of healthy control were measured using cytokine antibody chip.Analyse the signaling values of these 79 cytokines using SAM(significance analysis of microarray,SAM) software.RESULTS: By SAM analysis: insulin like growth factor binding protein-1(IGFBP-1),epidermal growth factor(HGF),osteopotin,insulin like growth factor binding protein-4(IGFBP-4),interferon inducible protein-10(IP-10) and B-lymphocyte chemoattractant(BLC) were identified to be highly expressed in the sepsis while platelet-derived growth factor-BB(PDGF-BB),brain-derived neurotrophic(BDNF),macrophage inflammatory protein-1β(MIP-1β),interleukin-8(IL-8),epidermal growth factor(EGF) and interleukin-1β(IL-1β)lowly expressed.Cluster analysis of significantly expressed cytokines showed that the sepsis and the control formed distinctly separate groups.CONCLUSION: Antibody chips demonstrate a significant change in sepsis patients,screening the protein biomarker for rapidly diagnosing sepsis is feasible.
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