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目的建立一个预测和验证具有T细胞免疫功能的多肽的方法 ,用于耐多药结核病(MDR-TB)和广泛耐药结核病(XDR-TB)治疗或者辅助治疗。方法采用生物信息学方法预测Rv0577的T细胞表位,筛选并化学合成表位集中、亲和力较强、理化性质稳定的长链多肽,应用酶联免疫斑点(ELISPOT)技术检测多肽刺激活动性结核病患者免疫细胞分泌IFN-γ的能力。结果预测并筛选出Rv0577长链多肽2条,ELISPOT结果表明2条多肽可以激活活动性结核病患者的免疫细胞。结论软件预测与初步鉴定结果具有一致性,此方法的建立为寻找更多的T细胞免疫多肽奠定基础。
Objective To establish a method for predicting and verifying T cell immune function of polypeptides for MDR-TB and XDR-TB treatment or adjuvant therapy. Methods Bioinformatics methods were used to predict the T cell epitopes of Rv0577. Screening and chemical synthesis of long chain peptides with strong epitopes and strong physical and chemical properties were performed. ELISPOT was used to detect the activity of peptides in patients with active tuberculosis The ability of immune cells to secrete IFN-γ. Results Two Rv0577 long-chain polypeptides were predicted and screened. ELISPOT results showed that two polypeptides could activate immune cells in patients with active TB. Conclusion The results of software prediction and preliminary identification are consistent. The establishment of this method lays the foundation for finding more T-cell immune polypeptides.