Evidence map›Paper›PMID 40456237›Full record

Observational studyThe Lancet. Microbe2025

Mapping of human monoclonal antibody responses to XBB.1.5 COVID-19 monovalent vaccines: a B cell analysis.

Raianna F Fantin, Jordan J Clark, Hallie Cohn, Deepika Jaiswal, Bailey Bozarth, Vishal Rao, Alesandro Civljak, Igor Lobo, Jessica R Nardulli, Komal Srivastava and 11 more

Abstract readObservational Study
In one paragraph

Observational study in The Lancet. Microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Raianna F FantinDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jordan J ClarkDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hallie CohnDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Deepika JaiswalDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bailey BozarthDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Vishal RaoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alesandro CivljakDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Igor LoboDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jessica R NardulliDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Komal SrivastavaDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jeremy S YongDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Robert Andreata-SantosDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Retrovirology Laboratory, Department of Microbiology, Immunology and Parasitology, Paulista School of Medicine, Federal University of São Paulo, São Paulo, Brazil.
Kaitlyn BushfieldDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Edward S LeeDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
Gagandeep SinghDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
PVI Study Group
Steven H KleinsteinDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA; Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA.
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Ignaz Semmelweis Institute, Interuniversity Institute for Infection Research, Medical University of Vienna, Vienna, Austria.
Viviana SimonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Goran BajicProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA. Electronic address: goran.bajic@mssm.edu.
Camila H CoelhoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Vaccine Research and Pandemic Preparedness, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: camila.coelho@mssm.edu.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
NIH FIRST Cohort Cluster Hiring Initiative at Icahn School of Medicine at Mount SinaiU54CA267776 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Nihal Mohamed · 2021 to 2026
$17.4M
Viral Immunity and VAccination (VIVA) Human Immunology Project Consortium (HIPC)U19AI168631 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ana Fernandez-Sesma · 2022 to 2026
$14.4M
Understanding antibody responses and defining correlates of protection for endemic and pandemic coronavirus strainsP01AI172531 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ali Hassan Ellebedy, Viviana A Simon · 2023 to 2026
$12.5M
IMMUNOHEMATOLOGY/TRANSFUSION MEDICINE RESEARCH TRAININGT32HL007974 · NHLBI · YALE UNIVERSITY · PI JEANNE E HENDRICKSON, Diane S Krause · 2001 to 2026
$8.1M
Structural interrogation of vaccine- and infection-induced B cell responsesR01AI168178 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Goran Bajic · 2022 to 2026
$3.9M
UC San Diego RAPID Faculty Development Program in Infectious DiseasesR25AI147376 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADRIANA H TREMOULET, Joann Trejo · 2020 to 2026
$2.5M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NCATS NIH HHS UL1 TR004419NCI NIH HHS P30 CA016087NCI NIH HHS U54 CA267776NHLBI NIH HHS T32 HL007974NIAID NIH HHS P01 AI172531NIAID NIH HHS R01 AI168178NIAID NIH HHS R25 AI147376NIAID NIH HHS U19 AI168631NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

backgroundThe rapid emergence of highly transmissible and immune-evasive SARS-CoV-2 variants has required the reformulation of COVID-19 vaccines to target these evolving threats. Although previous infections and booster vaccinations can boost variant neutralisation, it remains uncertain whether monovalent vaccines-delivered via mRNA or protein-based platforms-can trigger novel B-cell responses specific to omicron XBB.1.5 variants. We sought to address this uncertainty by characterising the antibody repertoire of individuals receiving a monovalent booster vaccine.

methodsIn this observational study, we analysed the genetic antibody repertoire of 603 individual plasmablasts from five individuals (recruited at the Icahn School of Medicine at Mount Sinai, New York, NY, USA, from STUDY-16-01215/IRB-16-00971 and STUDY-20-00442/IRB-20-03374) vaccinated with a monovalent XBB.1.5 vaccine, either through mRNA (Moderna or Pfizer-BioNTech; participants 1, 2, and 3) or adjuvanted protein (Novavax; participants 4 and 5) platforms. Before XBB.1.5 booster vaccination, all participants received mRNA-based priming and booster vaccine with ancestral SARS-CoV-2 and four of the five participants had a breakthrough omicron variant infection. We expressed 100 human monoclonal antibodies (mAbs; 50 from participants 1, 2, and 3, and 50 from participants 4 and 5) and evaluated their binding and neutralisation against various SARS-CoV-2 variants, including JN.1. We then selected four mAbs for in-vivo protection experiments by passive immunisation and viral challenge, and cryo-electron microscopy with two selected mAbs complexed with the XBB.1.5 spike (S) protein to determine their structures and binding interactions.

findingsBetween October and November, 2023, we enrolled three male and two female participants (mean age 46 years) all of whom were White. We identified 21 binding mAbs and tested their neutralisation capacity against ancestral SARS-CoV-2, XBB.1.5, and JN.1. From the six neutralising mAbs we characterised, we selected three (M2, M27, and M39) for in-vivo protection studies, along with one broadly binding antibody (M15), finding that three neutralising mAbs offered full protection against morbidity from XBB.1.5. M27 also displayed robust protection against the ancestral and JN.1 strains, and M39 offered partial protection from JN.1. Among these, we identified two standout antibodies: M2 and M39. M2 was uniquely specific to XBB.1.5, and M39 demonstrated the ability to bind and neutralise both XBB.1.5 and JN.1 strains. Using high-resolution cryo-electron microscopy, we mapped the binding sites of M2 and M39 on the XBB.1.5 S glycoprotein, uncovering the precise molecular interactions that dictate their specificity.

interpretationOur findings offer key molecular insights into whether strain-specific boosters elicit sufficient protection against SARS-CoV-2 emerging variants. This knowledge can inform decisions on booster design and strategies to enhance preparedness to evolving viral threats.

fundingIcahn School of Medicine at Mount Sinai; National Institutes of Health (NIH) FIRST; Laura and Isaac Perlmutter Cancer Center Support Grant; National Institute of Allergy and Infectious Diseases; Human Immunology Project Consortium by NIH; the São Paulo Research Foundation; the National Heart, Lung, and Blood Institute of the NIH; Irma T Hirschl and Monique Weill-Caulier Trust; and the Collaborative Influenza Vaccine Innovation Centers.

Indexed as

Antibodies, MonoclonalAntibodies, ViralB-LymphocytesCOVID-19COVID-19 VaccinesSARS-CoV-2AdultAntibodies, NeutralizingBNT162 VaccineFemaleHumansImmunization, SecondaryMaleMiddle AgedSpike Glycoprotein, CoronavirusAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID40456237
PMCPMC12381965

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.