Systematic evaluation of SARS-CoV-2 spike protein derived peptides for diagnosis of COVID-19 patients

Abstract Serological test plays an essential role in monitoring and combating COVID-19 pandemic. Recombinant spike protein (S protein), especially S1 protein is one of the major reagents for serological tests. However, the high cost in production of S protein, and the possible cross-reactivity with other human coronaviruses poses unneglectable challenges. Taking advantage of a peptide microarray of full spike protein coverage, we analyzed 2,434 sera from 858 COVID-19 patients, sera from 63 asymptomatic patients and 610 controls collected from multiple clinical centers. Based on the results of the peptide microarray, we identified several S protein derived 12-mer peptides that have high diagnosis performance. Particularly, for monitoring IgG response, one peptide (aa 1148-1159 or S2-78) has a comparable sensitivity (95.5%, 95% CI 93.7-96.9%) and specificity (96.7%, 95% CI 94.8-98.0%) to that of S1 protein for detection of both COVID-19 patients and asymptomatic infections. Furthermore, the performance of S2-78 IgG for diagnosis was successfully validated by ELISA with an independent sample cohort. By combining S2-78/ S1 with other peptides, a two-step strategy was proposed to ensure both the sensitivity and specificity of S protein based serological assay. The peptide/s identified in this study could be applied independently or in combination with S1 protein for accurate, affordable, and accessible COVID-19 diagnosis.One Sentence Summary Eight S protein-derived peptides, particularly S2-78 (aa 1148-1159), are of high performance for diagnosis of COVID-19 as well as discrimination of other coronaviruses..

Medienart:

Preprint

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

bioRxiv.org - (2024) vom: 23. Apr. Zur Gesamtaufnahme - year:2024

Sprache:

Englisch

Beteiligte Personen:

Li, Yang [VerfasserIn]
Lai, Dan-yun [VerfasserIn]
Lei, Qing [VerfasserIn]
Xu, Zhao-wei [VerfasserIn]
Hou, Hongyan [VerfasserIn]
Chen, Lingyun [VerfasserIn]
Wu, Jiaoxiang [VerfasserIn]
Ren, Yan [VerfasserIn]
Ma, Ming-liang [VerfasserIn]
Zhang, Bo [VerfasserIn]
Chen, Hong [VerfasserIn]
Yu, Caizheng [VerfasserIn]
Xue, Jun-biao [VerfasserIn]
Zheng, Yun-xiao [VerfasserIn]
Wang, Xue-ning [VerfasserIn]
Jiang, He-wei [VerfasserIn]
Zhang, Hai-nan [VerfasserIn]
Qi, Huan [VerfasserIn]
Guo, Shu-juan [VerfasserIn]
Zhang, Yandi [VerfasserIn]
Lin, Xiaosong [VerfasserIn]
Yao, Zongjie [VerfasserIn]
Pang, Pengfei [VerfasserIn]
Shi, Dawei [VerfasserIn]
Wang, Wei [VerfasserIn]
Yang, Xiao [VerfasserIn]
Zhou, Jie [VerfasserIn]
Sheng, Huiming [VerfasserIn]
Sun, Ziyong [VerfasserIn]
Shan, Hong [VerfasserIn]
Wang, Feng [VerfasserIn]
Fan, Xionglin [VerfasserIn]
Tao, Sheng-ce [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2020.09.01.20186387

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI018675204