Yip Timothy T C, Chan Johnny W M, Cho William C S, Yip Tai-Tung, Wang Zheng, Kwan Ting-Lok, Law Stephen C K, Tsang Dominic N C, Chan John K C, Lee King-Chung, Cheng Wai-Wai, Ma Victor W S, Yip Christine, Lim Cadmon K P, Ngan Roger K C, Au Joseph S K, Chan Angel, Lim Wilina W L
Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, The People's Republic of China.
Clin Chem. 2005 Jan;51(1):47-55. doi: 10.1373/clinchem.2004.031229. Epub 2004 Sep 13.
A new strain of coronavirus (CoV) has caused an outbreak of severe acute respiratory syndrome (SARS), with 8098 individuals being infected and 774 deaths worldwide. We carried out protein chip array profiling analysis in an attempt to identify biomarkers that might be useful in monitoring the clinical course of SARS patients.
We performed surface-enhanced laser desorption ionization time-of-flight mass spectrometry on 89 sera collected from 28 SARS patients, 72 sera from 51 control patients with various viral or bacterial infections, and 10 sera from apparently healthy individuals.
Nine significantly increased and three significantly decreased serum biomarkers were discovered in the SARS patients compared with the controls. Among these biomarkers, one (11,695 Da) was identified to be serum amyloid A (SAA) protein by peptide mapping and tandem mass spectrometric analysis. When we monitored the SAA concentrations longitudinally in 45 sera from four SARS patients, we found a good correlation of SAA concentration with the extent of pneumonia as assessed by a serial chest x-ray opacity score. Increased SAA occurred in three of four patients at the time of extensive pneumonia as indicated by high x-ray scores. Over the course of gradual recovery in two patients, as assessed clinically and radiologically, SAA concentrations gradually decreased. In the third patient, the concentrations were initially increased, but were further increased with superimposed multiple bacterial infections. SAA was not markedly increased in the fourth patient, who had low x-ray scores and whose clinical course was relatively mild.
Protein chip array profiling analysis could be potentially useful in monitoring the severity of disease in SARS patients.
一种新型冠状病毒引发了严重急性呼吸综合征（SARS）的爆发，全球有8098人感染，774人死亡。我们进行了蛋白质芯片阵列分析，试图识别可能有助于监测SARS患者临床病程的生物标志物。
我们对从28例SARS患者采集的89份血清、51例患有各种病毒或细菌感染的对照患者的72份血清以及10份看似健康个体的血清进行了表面增强激光解吸电离飞行时间质谱分析。
与对照组相比，在SARS患者中发现了9种血清生物标志物显著增加，3种显著减少。在这些生物标志物中，通过肽图谱分析和串联质谱分析鉴定出一种（11,695道尔顿）为血清淀粉样蛋白A（SAA）。当我们对4例SARS患者的45份血清中的SAA浓度进行纵向监测时，我们发现SAA浓度与通过胸部X光片系列不透明度评分评估的肺炎程度具有良好的相关性。在4例患者中有3例在出现广泛肺炎时（X光评分高表明）SAA升高。在临床和放射学评估的2例患者逐渐康复过程中，SAA浓度逐渐下降。在第3例患者中，浓度最初升高，但在叠加多重细菌感染时进一步升高。第4例患者X光评分低且临床病程相对较轻，其SAA未明显升高。
蛋白质芯片阵列分析可能有助于监测SARS患者的疾病严重程度。
