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High-specificity targets in SARS-CoV-2 N protein for serological detection and distinction from SARS-CoV.
Yu, Jianhai; Qin, Zhiran; Liu, Xuling; He, Xiaoen; Yao, Jinxiu; Zhou, Xuan; Wen, Kun; Yu, Nan; Wu, Qinghua; Xiao, Weiwei; Zhu, Li; Wan, Chengsong; Zhang, Bao; Zhao, Wei.
  • Yu J; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: chienhai@163.com.
  • Qin Z; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: baobaofei666666@outlook.com.
  • Liu X; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: maiblume@163.com.
  • He X; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: hexiaoen24@163.com.
  • Yao J; Yangjiang People's Hospital, No.42 Dongshan Road, Yangjiang, Guangdong Province, 529500, China. Electronic address: yjx_886@163.com.
  • Zhou X; Department of Laboratory Medicine, Guangdong Second Provincial General Hospital, No. 466, Xingang Middle Road, Guangzhou, Guangdong Province, 510317, China. Electronic address: zhouxuan19880911@163.com.
  • Wen K; Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Middle, Guangzhou, Guangdong Province, 510282, China. Electronic address: kunwen@gmail.com.
  • Yu N; Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, No. 253, Industrial Avenue Middle, Guangzhou, Guangdong Province, 510282, China. Electronic address: yunanzhujiang@163.com.
  • Wu Q; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: wuqh@fimmu.edu.cn.
  • Xiao W; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: xweiwei74@126.com.
  • Zhu L; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: zhuli89@126.com.
  • Wan C; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: gzwcs@smu.edu.cn.
  • Zhang B; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: zhangb@smu.edu.cn.
  • Zhao W; Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Guangzhou, Guangdong Province, 510515, China. Electronic address: zhaowei@smu.edu.cn.
Comput Biol Med ; 143: 105272, 2022 Jan 29.
Article in English | MEDLINE | ID: covidwho-1654271
ABSTRACT
Numerous serological detection kits are being rapidly developed and approved for screening and diagnosing suspected coronavirus disease 2019 (COVID-19) cases. However, cross-reactivity between pre-existing antibodies against other coronaviruses and the captured antigens in these kits can affect detection accuracy, emphasizing the necessity for identifying highly specific antigen fragments for antibody detection. Thus, we performed a conservation and specificity analysis of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) protein. We also integrated various B-cell epitope prediction methods to obtain possible dominant epitope regions for the N protein, analyzed the differences in serological antibody levels for different epitopes using ELISA, and identified N protein epitopes for IgG and IgM with high-specificity. The SARS-CoV-2 N protein showed low mutation rates and shared the highest amino acid similarity with SARS-CoV; however, it differed substantially from other coronaviruses. Tests targeting the SARS-CoV-2 N protein produce strong positive results in patients recovering from SARS-CoV. The N18-39 and N183-197 epitopes for IgG and IgM detection, respectively, can effectively overcome cross-reactivity, and even exhibit good specificity between SARS-CoV-2 and SARS-CoV. The antibody levels detected with these were consistent with those detected using the complete N protein. These findings provide a basis for serological diagnosis and determining the kinetics of SARS-CoV-2 antibody detection in patients.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Language: English Journal: Comput Biol Med Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Language: English Journal: Comput Biol Med Year: 2022 Document Type: Article