Department of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande Do Norte, Natal, RN, 59064-741, Brazil.
Multicampi School of Medical Sciences, Federal University of Rio Grande do Norte, Caicó, RN, 59300-000, Brazil.
Sci Rep. 2024 May 12;14(1):10842. doi: 10.1038/s41598-024-60680-9.
Yellow fever outbreaks are prevalent, particularly in endemic regions. Given the lack of an established treatment for this disease, significant attention has been directed toward managing this arbovirus. In response, we developed a multiepitope vaccine designed to elicit an immune response, utilizing advanced immunoinformatic and molecular modeling techniques. To achieve this, we predicted B- and T-cell epitopes using the sequences from all structural (E, prM, and C) and nonstructural proteins of 196 YFV strains. Through comprehensive analysis, we identified 10 cytotoxic T-lymphocyte (CTL) and 5T-helper (Th) epitopes that exhibited overlap with B-lymphocyte epitopes. These epitopes were further evaluated for their affinity to a wide range of human leukocyte antigen system alleles and were rigorously tested for antigenicity, immunogenicity, allergenicity, toxicity, and conservation. These epitopes were linked to an adjuvant ( -defensin) and to each other using ligands, resulting in a vaccine sequence with appropriate physicochemical properties. The 3D structure of this sequence was created, improved, and quality checked; then it was anchored to the Toll-like receptor. Molecular Dynamics and Quantum Mechanics/Molecular Mechanics simulations were employed to enhance the accuracy of docking calculations, with the QM portion of the simulations carried out utilizing the density functional theory formalism. Moreover, the inoculation model was able to provide an optimal codon sequence that was inserted into the pET-28a( +) vector for in silico cloning and could even stimulate highly relevant humoral and cellular immunological responses. Overall, these results suggest that the designed multi-epitope vaccine can serve as prophylaxis against the yellow fever virus.
黄热病疫情普遍流行,特别是在流行地区。由于这种疾病缺乏既定的治疗方法,因此人们高度关注管理这种虫媒病毒。针对这种情况,我们利用先进的免疫信息学和分子建模技术,开发了一种多表位疫苗,旨在引发免疫反应。为了实现这一目标,我们使用来自 196 株黄病毒所有结构(E、prM 和 C)和非结构蛋白的序列,预测了 B 细胞和 T 细胞表位。通过综合分析,我们确定了 10 个细胞毒性 T 淋巴细胞(CTL)和 5 个 T 辅助(Th)表位,这些表位与 B 细胞表位重叠。这些表位进一步评估了它们与多种人类白细胞抗原系统等位基因的亲和力,并经过严格的抗原性、免疫原性、变应原性、毒性和保守性测试。这些表位与佐剂(-防御素)和配体相互连接,形成具有适当理化性质的疫苗序列。该序列的 3D 结构被创建、改进和质量检查;然后将其固定在 Toll 样受体上。分子动力学和量子力学/分子力学模拟被用来提高对接计算的准确性,模拟的量子部分利用密度泛函理论形式进行。此外,接种模型能够提供一个最佳的密码子序列,该序列被插入 pET-28a(+) 载体进行计算机克隆,甚至可以刺激高度相关的体液和细胞免疫反应。总的来说,这些结果表明,设计的多表位疫苗可以作为预防黄热病病毒的疫苗。