Enhancing Antibody Serodiagnosis Using a Controlled Peptide Coimmobilization Strategy,ACS Infectious Diseases

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Enhancing Antibody Serodiagnosis Using a Controlled Peptide Coimmobilization Strategy
ACS Infectious Diseases ( IF 4.0 ) Pub Date : 2018-03-23 00:00:00 , DOI: 10.1021/acsinfecdis.8b00014
Laura Sola ₁ , Paola Gagni ₁ , Ilda D’Annessa ₁ , Riccardo Capelli ₁ , Camilla Bertino ₁ , Alessandro Romanato ₁ , Francesco Damin ₁ , Greta Bergamaschi ₁ , Edoardo Marchisio ₂ , Angela Cuzzocrea ₂ , Mauro Bombaci ₃ , Renata Grifantini ₃ , Marcella Chiari ₁ , Giorgio Colombo _{1,

4} , Alessandro Gori ₁ , Marina Cretich ₁

Affiliation

Antigen immunoreactivity is often determined by surface regions defined by the 3D juxtapositions of amino acids stretches that are not continuous in the linear sequence. As such, mimicking an antigen immunoreactivity by means of putative linear peptide epitopes for diagnostic purposes is not trivial. Here we present a straightforward and robust method to extend the reach of immune-diagnostic probes design by copresenting peptides belonging to the same antigenic surface. In this case study focused on a computationally predicted Zika virus NS1 protein putative antigenic region, we reached a diagnostic confidence by the oriented and spatially controlled coimmobilization of peptide sequences found adjacent within the protein fold, that cooperatively interacted to provide enhanced immunoreactivity with respect to single linear epitopes. Through our method, we were able to differentiate Zika infected individuals from healthy controls. Remarkably, our strategy fits well with the requirements to build high-throughput screening platforms of linear and mixed peptide libraries, and it could possibly facilitate the rapid identification of conformational immunoreactive regions.

中文翻译：

使用可控肽共固定策略增强抗体血清学诊断

抗原免疫反应性通常由在线性序列中不连续的氨基酸序列的3D并列定义的表面区域确定。这样，为了推定目的，通过推定的线性肽表位模拟抗原免疫反应并非易事。在这里，我们提出了一种直接而强大的方法，通过共同展示属于同一抗原表面的肽来扩展免疫诊断探针设计的范围。在本案例研究中，我们着重于计算预测的寨卡病毒NS1蛋白推定的抗原区，我们通过对蛋白质折叠内相邻的肽序列进行定向和空间控制的共固定化，从而达到了诊断上的信心，这种相互作用可协同作用，从而提供相对于单个蛋白而言增强的免疫反应性线性表位。通过我们的方法，我们能够区分感染寨卡病毒的个体与健康对照组。值得注意的是，我们的策略非常适合构建线性和混合肽库的高通量筛选平台的要求，并且可能有助于快速识别构象免疫反应区。

更新日期：2018-03-23

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