Dewi Desak Nyoman Surya Suameitria, Mertaniasih Ni Made
Student of Doctoral Program of Medical Science, Faculty of Medicine, Universitas Airlangga, Jl. Mayjen. Prof. Dr. Moestopo No. 47, Surabaya 60131, Indonesia.
Laboratory of Tuberculosis, Institute of Tropical Disease, Universitas Airlangga, Kampus C Jl. Mulyorejo Universitas Airlangga, Surabaya 60115, Indonesia.
Afr J Infect Dis. 2018 Jun 18;12(2):66-70. doi: 10.21010/ajid.v12i2.10. eCollection 2018.
In 2015, World Health Organization (WHO) discovered 10.4 million tuberculosis (TB) cases around the world. Multidrug-resistant tuberculosis (MDR-TB) became a threat because it has high mortality number. There were 480,000 new MDR-TB cases in 2015. Based on those problems, diagnostic development to detect rapidly and accurately is needed. The importance of detecting epitope expression of full gene because there was a potential of complexity over the protein structure and might affect the protein concentration. By knowing epitope prediction, there's an expectation that it can help the development of TB diagnostic. This research was aimed to determine the T cell epitope prediction of full gene from MDR-TB patients.
Total of 24 MDR-TB sputum isolate from TB patients at Dr. Soetomo Hospital were collected from September to December 2016. Samples were confirmed as MDR-TB using GeneXpert and Bactec MGIT 960. Those samples tested using PCR targeted 580 bp of gene and sequencing. Gene sequence was aligned against wild type using Bioedit program version 7.2.5 and NCBI BLAST. T cell epitope prediction was analyzed by GENETYX version 10.
Epitope predictions that could be obtained were IEAAAS, ASAIQG, VTSIHS, TKLAAA, VTGMFA based IAd Pattern Position and EAAAS based Rothbard/Taylor Pattern Position. Those prediction epitopes can determine the severity of disease, therefore full gene of could be used as diagnostic target.
This research discovered five specific T cell epitope prediction based on IAd Pattern Position and one epitope prediction according to Rothbard/Taylor Pattern Position.
2015年,世界卫生组织(WHO)发现全球有1040万例结核病(TB)病例。耐多药结核病(MDR-TB)因其高死亡率而成为一种威胁。2015年有48万例新的耐多药结核病病例。基于这些问题,需要开发能够快速、准确检测的诊断方法。检测全基因表位表达很重要,因为蛋白质结构可能存在复杂性,且可能影响蛋白质浓度。通过了解表位预测,有望有助于结核病诊断的发展。本研究旨在确定耐多药结核病患者全基因的T细胞表位预测。
2016年9月至12月,从苏托莫博士医院的结核病患者中收集了24份耐多药结核病痰液分离株。使用GeneXpert和Bactec MGIT 960将样本确认为耐多药结核病。使用靶向580 bp基因的PCR对这些样本进行检测并测序。使用Bioedit程序7.2.5版和NCBI BLAST将基因序列与野生型进行比对。通过GENETYX 10版分析T细胞表位预测。
基于IAd模式位置可获得的表位预测为IEAAAS、ASAIQG、VTSIHS、TKLAAA、VTGMFA,基于Rothbard/Taylor模式位置的表位预测为EAAAS。这些预测表位可确定疾病的严重程度,因此该基因的全基因可作为诊断靶点。
本研究基于IAd模式位置发现了五个特定的T细胞表位预测,以及根据Rothbard/Taylor模式位置的一个表位预测。