Title |
MERS-CoV Antibody Responses 1 Year after Symptom Onset, South Korea, 2015 - Volume 23, Number 7—July 2017 - Emerging Infectious Diseases journal - CDC
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Published in |
Emerging Infectious Diseases, July 2017
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DOI | 10.3201/eid2307.170310 |
Pubmed ID | |
Authors |
Pyoeng Gyun Choe, R.A.P.M. Perera, Wan Beom Park, Kyoung-Ho Song, Ji Hwan Bang, Eu Suk Kim, Hong Bin Kim, Long Wei Ronald Ko, Sang Won Park, Nam-Joong Kim, Eric H.Y. Lau, Leo L.M. Poon, Malik Peiris, Myoung-don Oh |
Abstract |
We investigated the kinetics of the Middle East respiratory syndrome coronavirus (MERS-CoV) neutralizing and spike protein antibody titers over the course of 1 year in 11 patients who were confirmed by reverse transcription PCR to have been infected during the outbreak in South Korea in 2015. Robust antibody responses were detected in all survivors who had severe disease; responses remained detectable, albeit with some waning, for <1 year. The duration of viral RNA detection (but not viral load) in sputum significantly correlated with the antibody response magnitude. The MERS S1 ELISA antibody titers correlated well with the neutralizing antibody response. Antibody titers in 4 of 6 patients who had mild illness were undetectable even though most had evidence of pneumonia. This finding implies that MERS-CoV seroepidemiologic studies markedly underestimate the extent of mild and asymptomatic infection. Obtaining convalescent-phase plasma with high antibody titers to treat MERS will be challenging. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 16% |
United Kingdom | 4 | 11% |
Saudi Arabia | 3 | 8% |
Oman | 2 | 5% |
Norway | 1 | 3% |
Portugal | 1 | 3% |
Mexico | 1 | 3% |
Peru | 1 | 3% |
Netherlands | 1 | 3% |
Other | 2 | 5% |
Unknown | 16 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 84% |
Scientists | 4 | 11% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 217 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 46 | 21% |
Student > Master | 26 | 12% |
Student > Ph. D. Student | 18 | 8% |
Student > Bachelor | 17 | 8% |
Other | 12 | 6% |
Other | 44 | 20% |
Unknown | 54 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 45 | 21% |
Immunology and Microbiology | 37 | 17% |
Biochemistry, Genetics and Molecular Biology | 21 | 10% |
Agricultural and Biological Sciences | 13 | 6% |
Veterinary Science and Veterinary Medicine | 6 | 3% |
Other | 28 | 13% |
Unknown | 67 | 31% |