基于蛋白序列比对方法获得灵敏度抗体的诺如病毒免疫层析试剂条的临床应用价值

Clinical application value of an immunochromatographic test strip for Norovirus utilizing sensitivity-enhanced antibodies derived from protein sequence alignment methods

  • 摘要:
    目的 探讨基于蛋白序列比对方法获得灵敏度抗体的诺如病毒免疫层析试剂条的临床应用价值。
    方法 选取150例疑似诺如病毒感染患者作为研究对象, 回顾性分析所有患者的临床资料。所有患者均接受常规检查和优化检测试纸的诺如病毒抗原检测。利用患者临床数据对检出结果进行验证,从检出率、重复率、符合率、抗干扰能力和交叉反应等方面对该检测优化方法的检测性能进行评估。
    结果 优化后的抗原检测试剂条的检测准确率高于常规抗原快速检测试剂,差异有统计学意义(P<0.05)。通过评估分析发现,诺如病毒抗原检测中的一些关键因素,如样本采集时间、采集方式、保存方式等对检测结果的影响较大。通过对上述因素进行控制和管理,可以提高诺如病毒抗原检测的准确性和可靠性。
    结论 基于蛋白序列比对方法获得灵敏度抗体的诺如病毒试剂条的临床应用价值较高,可以优化检测方法,提高检测准确性和可靠性,减少漏诊和误诊。

     

    Abstract:
    Objective To investigate the clinical application value of an immunochromatographic test strip for Norovirus utilizing sensitivity-enhanced antibodies derived from protein sequence alignment methods.
    Methods A retrospective analysis was conducted on a cohort of 150 suspected Norovirus-infected patients serving as study subjects. All patients underwent routine examinations and were tested for Norovirus antigens by an optimized lateral flow immunoassay. Clinical data of all patients were reviewed to validate the test results. The diagnostic performance of this optimized detection method was evaluated in terms of detection rate, reproducibility, concordance rate, resistance to interference, and cross-reactivity.
    Results The optimized antigen test strip demonstrated significantly higher accuracy than conventional rapid antigen tests (P < 0.05). Through assessment, it was found that several key factors in Norovirus antigen detection, such as the timing of sample collection, collection method, and preservation techniques, had substantial impacts on the test outcomes. By controlling and managing these factors, the accuracy and reliability of Norovirus antigen detection could be substantially improved.
    Conclusion Clinical application of the Norovirus test strip utilizing sensitivity-enhanced antibodies derived from protein sequence alignment methods presents high value, as it can refine detection methodologies, enhance both accuracy and reliability, and thereby reducing misdiagnosis and missed diagnoses.

     

/

返回文章
返回