Kontro Hilkka, Joenväärä Sakari, Haglund Caj, Renkonen Risto
Transplantation Laboratory, Haartman Institute, University of Helsinki, Helsinki, Finland.
Proteomics. 2014 Aug;14(15):1713-23. doi: 10.1002/pmic.201300270.
Serum protein glycosylation is known to be affected by pathological conditions, including cancer and inflammatory diseases. Pancreatic cancer patients would benefit from early diagnosis, as the disease is often detected in an advanced stage and has poor prognosis. Searching for changes in serum protein site-specific glycosylation could reveal novel glycoprotein biomarkers. We used Sambucus nigra lectin affinity chromatography to enrich α-2,6 sialylated tryptic N-glycopeptides from albumin-depleted sera of pancreatic cancer patients, acute pancreatitis patients, and healthy individuals, and compared their relative abundance using ultra performance LC-MS. Relative quantitation was done using the spectrum processing software MZmine. Identification was performed on the web-based tool GlycopeptideID, developed for in silico analysis of intact N-glycopeptides. Seventeen high-abundance serum proteins, mainly acute-phase proteins, and immunoglobulins, with total 27 N-glycosylation sites, and 62 glycoforms, were identified. Pancreatitis patient sera contained 38, and pancreatic cancer patients sera contained 13 glycoform changes with statistical significance (p < 0.05). In pancreatitis, up to tenfold changes were found in some glycoforms, and in pancreatic cancer, threefold. Analysis showed that the changes often concerned one or two, but not all, N-glycosylation sites in a specific glycoprotein. In conclusion, the analysis shows that pancreatic cancer, and acute pancreatitis are associated with changes in concentrations of intact sialylated N-glycopeptides derived from acute-phase proteins, and immunoglobulins, and that changes are site specific.
已知血清蛋白糖基化会受到包括癌症和炎症性疾病在内的病理状况的影响。胰腺癌患者将从早期诊断中受益,因为该疾病通常在晚期才被发现且预后较差。寻找血清蛋白位点特异性糖基化的变化可能会揭示新的糖蛋白生物标志物。我们使用接骨木凝集素亲和色谱法从胰腺癌患者、急性胰腺炎患者和健康个体的无白蛋白血清中富集α-2,6唾液酸化的胰蛋白酶N-糖肽,并使用超高效液相色谱-质谱比较它们的相对丰度。使用光谱处理软件MZmine进行相对定量。在基于网络的工具GlycopeptideID上进行鉴定,该工具是为完整N-糖肽的计算机分析而开发的。鉴定出17种高丰度血清蛋白,主要是急性期蛋白和免疫球蛋白,共有27个N-糖基化位点和62种糖型。胰腺炎患者血清中有38种,胰腺癌患者血清中有13种糖型变化具有统计学意义(p < 0.05)。在胰腺炎中,某些糖型的变化高达10倍,在胰腺癌中为3倍。分析表明,这些变化通常涉及特定糖蛋白中的一两个而非全部N-糖基化位点。总之,分析表明胰腺癌和急性胰腺炎与急性期蛋白和免疫球蛋白来源的完整唾液酸化N-糖肽浓度变化有关,且这些变化具有位点特异性。