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开发用于检测癌症患者中循环抗 p53 自身抗体的酶联免疫吸附测定(ELISA)的简化方法。

Simplified approaches for the development of an ELISA to detect circulating autoantibodies to p53 in cancer patients.

作者信息

Cressey Ratchada, Pimpa Saranya, Chewaskulyong Busyamas, Lertprasertsuke Nirush, Saeteng Somchareon, Tayapiwatana Chatchai, Kasinrerk Watchara

机构信息

Division of Clinical Chemistry, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.

出版信息

BMC Biotechnol. 2008 Feb 20;8:16. doi: 10.1186/1472-6750-8-16.

Abstract

BACKGROUND

The recognition that human tumors stimulate the production of autoantibodies has initiated the use of this immune response as serological markers for the early diagnosis and management of cancer. The enzyme-linked immunosorbent assay (ELISA) is the most common method used in detecting autoantibodies, which involves coating the microtiter plate with the tumor associated antigen (TAA) of interest and allowing serum antibodies to bind. The patient's sample is directly in contact with the coating antigen so the protein used for coating must be pure to avoid non-specific binding. In this study, a simplified method to selectively and specifically immobilize TAAs onto microtiter plates in order to detect circulating autoantibodies in cancer patients without prior purification process was described. Wild type full-length p53 protein was produced in fusion with biotin carboxyl carrier peptide (BCCP) or hexahistidine [(His)6] using pAK400 and pET15b(+) vectors, respectively. The recombinant p53 fusion protein produced was then subjected to react with either a commercial p53 monoclonal antibody (mAb) or sera from lung cancer patients and healthy volunteers in an enzyme-linked immunosorbent assay (ELISA) format.

RESULTS

Both of the immobilized p53 fusion proteins as well as the purified (His)6-p53 fusion protein had a similar dose response of detection to a commercial p53 mAb (DO7). When the biotinylated p53-BCCP fusion protein was used as an antigen to detect p53 autoantibodies in clinical samples, the result showed that human serum reacted strongly to avidin-coated microwell even in the absence of the biotinylated p53-BCCP fusion protein, thus compromised its ability to differentiate weakly positive sera from those that were negative. In contrast, the (His)6-p53 protein immobilized directly onto Ni+ coated microplate was able to identify the p53 autoantibody positive serum. In addition, its reactivity to clinical serum samples highly correlated with those obtained from using purified p53 as an antigen (R = 0.9803, p < 0.0001). Moreover, this directly immobilized p53 antigen can clearly differentiate p53 autoantibody positive sera in cancer patients from healthy volunteers' sera.

CONCLUSION

A method of coating directly and specifically TAAs onto a microtiter plate without the purification processes was developed in this study. Although in this study only one tumor antigen was examined, the simplicity and the ability of coated antigens to identify p53 specific autoantibodies in serum accurately might enable a larger panel of TAAs specific autoantibodies to be explored as serological markers for cancer.

摘要

背景

认识到人类肿瘤会刺激自身抗体的产生,这引发了将这种免疫反应用作癌症早期诊断和管理的血清学标志物。酶联免疫吸附测定(ELISA)是检测自身抗体最常用的方法,该方法涉及用感兴趣的肿瘤相关抗原(TAA)包被微量滴定板,并使血清抗体结合。患者样本直接与包被抗原接触,因此用于包被的蛋白质必须纯净,以避免非特异性结合。在本研究中,描述了一种简化方法,可在无需预先纯化的情况下,将TAAs选择性且特异性地固定在微量滴定板上,以检测癌症患者体内循环的自身抗体。分别使用pAK400和pET15b(+)载体,制备与生物素羧基载体肽(BCCP)或六聚组氨酸[(His)6]融合的野生型全长p53蛋白。然后,将产生的重组p53融合蛋白以酶联免疫吸附测定(ELISA)形式与市售p53单克隆抗体(mAb)或肺癌患者及健康志愿者的血清反应。

结果

固定化的p53融合蛋白以及纯化的(His)6-p53融合蛋白对市售p53 mAb(DO7)的检测均具有相似的剂量反应。当使用生物素化的p53-BCCP融合蛋白作为抗原检测临床样本中的p53自身抗体时,结果显示,即使在没有生物素化的p53-BCCP融合蛋白的情况下,人血清与抗生物素蛋白包被的微孔也有强烈反应,从而损害了其区分弱阳性血清和阴性血清的能力。相比之下,直接固定在镍离子包被的微孔板上的(His)6-p53蛋白能够识别p53自身抗体阳性血清。此外,其与临床血清样本的反应性与使用纯化p53作为抗原获得的反应性高度相关(R = 0.9803,p < 0.0001)。而且,这种直接固定的p53抗原能够清楚地区分癌症患者的p53自身抗体阳性血清和健康志愿者的血清。

结论

本研究开发了一种无需纯化过程即可将TAAs直接且特异性地包被在微量滴定板上的方法。尽管本研究仅检测了一种肿瘤抗原,但包被抗原的简单性及其准确识别血清中p53特异性自身抗体的能力,可能使更多的TAAs特异性自身抗体作为癌症血清学标志物得以探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49fb/2275332/81398d61c46d/1472-6750-8-16-1.jpg

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