mRNA-1273 Vaccine-elicited Neutralization of SARS-CoV-2 Omicron in Adolescents and Children
Girard, B.; Tomassini, J.; Deng, W.; Maglinao, M.; Zhou, H.; Figueroa, A.; Gamloush, S. S.; Montefiori, D. C.; Das, R.; Pajon, R.
Show abstract
BackgroundThe highly transmissible severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) Omicron variant is a global concern. This study assessed the neutralization activity of two-dose regimens of mRNA-1273 vaccination against Omicron in adults, adolescents and children. MethodsNeutralizing activity against the Omicron variant was evaluated in serum samples from adults ([≥]18 years) in the phase 3, Coronavirus Efficacy (COVE) and from adolescents (12-17 years) in the TeenCOVE trials following a two-dose regimen of 100 {micro}g mRNA-1273 and from children (6-<12 years) in the KidCOVE trial administered two doses of 50 {micro}g mRNA-1273. Neutralizing antibody geometric mean ID50 titers (GMT) were measured using a lentivirus-based pseudovirus neutralizing assay at day 1 and 4 weeks (day 57) following the second mRNA-1273 dose, compared with wild-type (D614G). ResultsAt 4 weeks following a second dose of mRNA-1273 (100 {micro}g), the GMT was reduced 28.8-fold compared with D614G in adults ([≥]18 years). In adolescents (12-17 years), the GMT was 11.8-fold lower than D614G, 4 weeks after a second dose of mRNA-1273 (100 {micro}g), and compared with adults, were 1.5- and 3.8-fold higher for D614G and the Omicron variant, respectively. In children (6-<12 years), 4 weeks post-second dose of 50 {micro}g mRNA-1273, Omicron GMTs were reduced 22.1-fold versus D614G and were 2.0-fold higher for D614G and 2.5-fold higher for Omicron compared with adults. ConclusionsA two-dose regimen of 100 {micro}g mRNA-1273 in adolescents and of 50 {micro}g in children elicited neutralization responses against the Omicron variant that were reduced compared with the wild-type D614G, and numerically higher than those in adults.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Immunogenicity and Safety Following a Homologous Booster Dose of a SARS-CoV-2 recombinant spike protein vaccine (NVX-CoV2373): A Phase 2 Randomized Placebo-Controlled Trial 95%
- A Phase 1: Safety and Immunogenicity Trial of an Inactivated SARS-CoV-2 Vaccine-BBV152 95%
- Safety and immunogenicity clinical trial of an inactivated SARS-CoV-2 vaccine, BBV152 (a phase 2, double-blind, randomised controlled trial) and the persistence of immune responses from a phase 1 follow-up report 95%
Similar papers in this journal
- Immunogenicity of a third dose of BNT162b2 to ancestral SARS-CoV-2 & Omicron variant in adults who received two doses of inactivated vaccine 96%
- Two-dose SARS-CoV-2 vaccine effectiveness with mixed schedules and extended dosing intervals: test-negative design studies from British Columbia and Quebec, Canada 94%
- Comprehensive mapping of neutralizing antibodies against SARS-CoV-2 variants induced by natural infection or vaccination 94%
Similar papers in this journal
- Protection afforded by the BNT162b2 and mRNA-1273 COVID-19 vaccines in fully vaccinated cohorts with and without prior infection 95%
- Subcutaneous REGEN-COV Antibody Combination in Early Asymptomatic SARS-CoV-2 Infection: A Randomized Clinical Trial 94%
- Durability of anti-Spike antibodies in the infant after maternal COVID-19 vaccination 92%
Similar papers in this journal
- Durability of antibody responses elicited by a single dose of Ad26.COV2.S and substantial increase following late boosting 96%
- Immunogenicity and Safety of Booster Dose of S-268019-b or Tozinameran in Japanese Participants: An Interim Report of Phase 2/3, Randomized, Observer-Blinded, Noninferiority Study 96%
- Safety and Immunogenicity of an Inactivated Recombinant Newcastle Disease Virus Vaccine Expressing SARS-CoV-2 Spike: A Randomised, Comparator-Controlled, Phase 2 Trial 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.