Identifying promising peptide targets for leprosy serological tests: From prediction to ELISA

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology
Augusto César Parreiras de Jesus , Vanêssa Gomes Fraga , Samuel Alexandre Pimenta-Carvalho , Tania Mara Pinto Dabés Guimarães , Marcio Sobreira Silva Araújo , Jairo Campos de Carvalho , Marcio Bezerra Santos , Marcelo Grossi Araújo , Marcelo Antonio Pascoal-Xavier , Sandra Lyon , Sebastião Rodrigo Ferreira , Rocio Arreguin-Campos , Kasper Eersels , Bart van Grinsven , Thomas Cleij , Lilian Lacerda Bueno , Daniella Castanheira Bartholomeu , Cristiane Alves da Silva Menezes , Ana Laura Grossi de Oliveira , Ricardo Toshio Fujiwara
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引用次数: 0

Abstract

Leprosy remains a significant health concern, particularly in India, Brazil, and Indonesia. Early diagnosis is essential to prevent complications, highlighting the need for improved diagnostic tools. This study aimed to identify novel Mycobacterium leprae antigens and assess their effectiveness against human sera through immunotools for antibody response evaluation. Using bioinformatics, we predicted B-cell epitopes in M. leprae, which were chemically synthesized and tested via dot blotting with sera from leprosy patients, tuberculosis patients, and healthy controls. Promising peptides underwent further analysis through ELISA using 465 serum samples from leprosy patients, household contacts, and healthy controls across Brazil. The samples were also tested against known antigens HSA-NDO, LID-1, and NDO-LID. A total of 102 epitope sequences were generated, of which eight (PEP1 to PEP8) demonstrated the ability to differentiate between individuals with and without exposure to M. leprae. The results of the ELISA test exhibited statistically significant differences in absorbance responses between the experimental groups for the novel synthetic peptides (p < 0.05). PEP3, PEP4, and PEP5 demonstrated the most favorable outcomes, with values of the area under the receiver operating characteristic curve (AUC) of 0.9759, 0.9796 and 0.9551 respectively in the comparison of healthy controls with household contacts, and 0.8257, 0.7945, and 0.7961 comparing the same controls with patients. Furthermore, the synthetic peptides demonstrated superior sensitivity, specificity, and AUC compared to HSA-NDO, LID-1, and NDO-LID. The identified peptides showed significant responses in samples from patients and household contacts (HHC), indicating their potential for tracing exposure to M. leprae bacilli. These novel synthetic peptides could enhance the sensitivity of rapid diagnostic tests for leprosy, facilitating early detection of the infection. This could help prevent disease progression and interrupt transmission.
确定麻风病血清学检测有希望的肽靶点:从预测到ELISA
麻风病仍然是一个重大的健康问题,特别是在印度、巴西和印度尼西亚。早期诊断对于预防并发症至关重要,这突出了改进诊断工具的必要性。本研究旨在鉴定新的麻风分枝杆菌抗原,并通过免疫工具评估其对人血清的抗体反应。我们利用生物信息学预测麻风分枝杆菌的b细胞表位,并用麻风患者、结核病患者和健康对照者的血清进行化学合成和点印迹检测。利用来自巴西各地麻风病患者、家庭接触者和健康对照者的465份血清样本,通过ELISA进一步分析了有希望的肽。同时对已知抗原HSA-NDO、LID-1和NDO-LID进行检测。共产生102个表位序列,其中8个(PEP1至PEP8)显示能够区分暴露于麻风分枝杆菌和未暴露于麻风分枝杆菌的个体。ELISA检测结果显示,实验组对新型合成肽的吸光度反应有统计学意义(p <;0.05)。其中,PEP3、PEP4和PEP5的治疗效果最好,健康对照组与家庭接触者的受试者工作特征曲线下面积(AUC)分别为0.9759、0.9796和0.9551,与患者的受试者工作特征曲线下面积(AUC)分别为0.8257、0.7945和0.7961。此外,与HSA-NDO、LID-1和NDO-LID相比,合成肽具有更高的敏感性、特异性和AUC。鉴定的多肽在患者和家庭接触者(HHC)的样本中显示出显著的反应,表明它们具有追踪麻风分枝杆菌暴露的潜力。这些新的合成肽可以提高麻风病快速诊断试验的敏感性,促进早期发现感染。这可能有助于防止疾病进展和中断传播。
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来源期刊
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
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