{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T16:12:03Z","timestamp":1792080723127,"version":"4.4.0"},"reference-count":53,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"6576","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Science"],"published-print":{"date-parts":[[2022,1,7]]},"abstract":"<jats:title>Antibody levels predict vaccine efficacy<\/jats:title>\n                  <jats:p>\n                    Symptomatic COVID-19 infection can be prevented by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines. A \u201ccorrelate of protection\u201d is a molecular biomarker to measure how much immunity is needed to fight infection and is key for successful global immunization programs. Gilbert\n                    <jats:italic>et al<\/jats:italic>\n                    . determined that antibodies are the correlate of protection in vaccinated individuals enrolled in the Moderna COVE phase 3 clinical trial (see the Perspective by Openshaw). By measuring binding and neutralizing antibodies against the viral spike protein, the authors found that the levels of both antibodies correlated with the degree of vaccine efficacy. The higher the antibody level, the greater the protection afforded by the messenger RNA (mRNA) vaccine. Antibody levels that predict mRNA vaccine efficacy can therefore be used to guide vaccine regimen modifications and support regulatory approvals for a broader spectrum of the population. \u2014PNK\n                  <\/jats:p>","DOI":"10.1126\/science.abm3425","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T13:56:16Z","timestamp":1641477376000},"page":"43-50","source":"Crossref","is-referenced-by-count":1054,"title":["Immune correlates analysis of the mRNA-1273 COVID-19 vaccine efficacy clinical trial"],"prefix":"10.1126","volume":"375","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2662-9427","authenticated-orcid":true,"given":"Peter B.","family":"Gilbert","sequence":"first","affiliation":[{"name":"Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA."},{"name":"Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA."},{"name":"Department of Biostatistics, 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