Current methods for diagnosis of human coronaviruses: pros and cons.
Current methods for diagnosis of human coronaviruses: pros and cons.
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当前诊断人冠状病毒的方法:利弊。
DOI:
10.1007/s00216-020-03046-0
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发表时间:
2021-04
影响因子:
4.3
通讯作者:
Liu G
中科院分区:
文献类型:
--
作者:
Benzigar MR;Bhattacharjee R;Baharfar M;Liu G
The current global fight against coronavirus disease (COVID-19) to flatten the transmission curve is put forth by the World Health Organization (WHO) as there is no immediate diagnosis or cure for COVID-19 so far. In order to stop the spread, researchers worldwide are working around the clock aiming to develop reliable tools for early diagnosis of severe acute respiratory syndrome (SARS-CoV-2) understanding the infection path and mechanisms. Currently, nucleic acid-based molecular diagnosis (real-time reverse transcription polymerase chain reaction (RT-PCR) test) is considered the gold standard for early diagnosis of SARS-CoV-2. Antibody-based serology detection is ineffective for the purpose of early diagnosis, but a potential tool for serosurveys, providing people with immune certificates for clearance from COVID-19 infection. Meanwhile, there are various blooming methods developed these days. In this review, we summarise different types of coronavirus discovered which can be transmitted between human beings. Methods used for diagnosis of the discovered human coronavirus (SARS, MERS, COVID-19) including nucleic acid detection, gene sequencing, antibody detection, antigen detection, and clinical diagnosis are presented. Their merits, demerits and prospects are discussed which can help the researchers to develop new generation of advanced diagnostic tools for accurate and effective control of human coronavirus transmission in the communities and hospitals.
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影响因子:
4.6
作者:
Chamings A;Nelson TM;Vibin J;Wille M;Klaassen M;Alexandersen S
通讯作者:
Alexandersen S
DOI:
10.1126/science.aaf5573
发表时间:
2016-08-05
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Abudayyeh OO;Gootenberg JS;Konermann S;Joung J;Slaymaker IM;Cox DB;Shmakov S;Makarova KS;Semenova E;Minakhin L;Severinov K;Regev A;Lander ES;Koonin EV;Zhang F
通讯作者:
Zhang F
DOI:
10.1073/pnas.1919800117
发表时间:
2020-02-11
影响因子:
11.1
作者:
Di, Lin;Fu, Yusi;Wang, Jianbin
通讯作者:
Wang, Jianbin
影响因子:
9.3
作者:
Behrmann, Ole;Bachmann, Iris;Hufert, Frank T.
通讯作者:
Hufert, Frank T.
影响因子:
7.6
作者:
Chang CK;Hou MH;Chang CF;Hsiao CD;Huang TH
通讯作者:
Huang TH