Centre for Kode Technology Innovation, School of Engineering, Computer and Mathematical Sciences, Faculty of Design and Creative Technologies, Auckland University of Technology, Auckland, New Zealand.
School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
Transfusion. 2022 Aug;62(8):1630-1635. doi: 10.1111/trf.17004. Epub 2022 Jul 11.
Training is essential to develop and maintain skills required to be a competent serologist, yet samples required to achieve this are often difficult to obtain. We evaluated the feasibility of SARS-CoV-2 peptide modified RBCs (1144-kodecytes) to develop simulated antibody screening and identification panels of reagent RBCs suitable for practical training, recognition, and grading of serologic reactions.
RBCs from a single donor were modified into kodecytes using Kode Technology function-spacer-lipid constructs bearing a short SARS-CoV-2 peptide. Kodecytes and unmodified cells were then arranged in patterns representative of RBC antibody profiles as simulated antibody screening and identification reagent cell panels (SASID), and then tested against immune donor plasma samples containing SARS-CoV-2 antibodies. Manual tube and two different gel card serologic platforms were evaluated by routine techniques. SASID exemplars were created for antibodies including D, C , f (ce), Jk (strong, weak, dosing), mixtures of D + E, Jk + K, Fy + E, high and low frequency antibodies and a warm IgG autoantibody.
Kodecytes (positive reactions) and unmodified cells (negative) when arranged and tested in appropriate patterns in SASID panels were able to mimic IgG antibody reactions, and were capable of measuring both accuracy and precision in reaction grading.
Kodecytes can be used to rapidly create in-house simulated yet realistic antibody screening and identification panels suitable for large scale training in the recognition and grading of serologic reactions.
培训对于培养和维持成为一名有能力的血清学家所需的技能至关重要，但实现这一目标所需的样本通常难以获得。我们评估了使用 SARS-CoV-2 肽修饰的 RBC（1144-kodecytes）来开发模拟抗体筛选和鉴定试剂 RBC 面板的可行性，这些试剂 RBC 适用于实践培训、识别和分级血清学反应。
使用 Kode Technology 的功能间隔脂质构建体将来自单个供体的 RBC 修饰成带有短 SARS-CoV-2 肽的 kodecytes。然后，将 kodecytes 和未修饰的细胞排列成代表 RBC 抗体谱的模式，作为模拟抗体筛选和鉴定试剂细胞面板（SASID），然后用含有 SARS-CoV-2 抗体的免疫供体血浆样本进行测试。通过常规技术评估手动管和两种不同的凝胶卡血清学平台。为包括 D、C、f（ce）、Jk（强、弱、剂量）、D+E 混合物、Jk+K、Fy+E、高和低频抗体以及温暖 IgG 自身抗体在内的抗体创建了 SASID 示例。
在 SASID 面板中以适当的模式排列和测试的 kodecytes（阳性反应）和未修饰的细胞（阴性反应）能够模拟 IgG 抗体反应，并且能够在反应分级中测量准确性和精密度。
Kodecytes 可用于快速创建内部模拟但现实的抗体筛选和鉴定面板，适用于大规模培训血清学反应的识别和分级。
