Evidence map›Paper›PMID 40042313›Full record

ArticlemBio2025

XBB.1.5 monovalent vaccine induces lasting cross-reactive responses to SARS-CoV-2 variants such as HV.1 and JN.1, as well as SARS-CoV-1, but elicits limited XBB.1.5 specific antibodies.

Juan Manuel Carreño, Brian Lerman, Gagandeep Singh, Anass Abbad, Temima Yellin, Jordan Ehrenhaus, Miriam Fried, Jessica R Nardulli, Hyun Min Kang, Lubbertus C F Mulder and 5 more

Abstract read
In one paragraph

Article in mBio, 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. Observational
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Juan Manuel CarreñoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.ORCID 0000-0002-9039-9275
Brian Lerman *Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Gagandeep Singh *Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Anass AbbadDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.ORCID 0000-0002-4617-0473
Temima YellinDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Jordan EhrenhausDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Miriam FriedDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Jessica R NardulliDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Hyun Min KangDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Lubbertus C F MulderDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Charles GleasonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
Komal SrivastavaDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
PVI study group
Viviana SimonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.ORCID 0000-0002-6416-5096
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.ORCID 0000-0003-4121-776X

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTER: UNIVERSAL INFLUENZA VACCINE RESEARCH75N93019C00051 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2019 to 2025
$105.4M
NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
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
Understanding antibody responses and defining correlates of protection for endemic and pandemic coronavirus strainsP01AI172531 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Florian Krammer · 2023 to 2026
$12.5M
Strengthening the ISMMS research and response capabilities for pathogens of pandemic potentialG20AI174733 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALBRECHT, RANDY A. · 2022 to 2022
$2.3M
HERV proteogenomics of narcotic-driven HIV latencyR61DA058294 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MULDER, LUBBERTUS C · 2023 to 2025
$2.2M
HHS | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR004419HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI172531HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) G20AI174733HHS | NIH | National Institute on Drug Abuse (NIDA) DA058294NCATS NIH HHS UL1 TR004419NCI NIH HHS 75N91019D00024NIAID NIH HHS 75N93019C00051NIAID NIH HHS 75N93021C00014NIAID NIH HHS G20 AI174733NIAID NIH HHS P01 AI172531NIDA NIH HHS R61 DA058294
6 · The paper itself

Abstract

The evolution of the antibody response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is impacted by the nature and number of antigenic exposures. First-generation coronavirus disease 2019 (COVID-19) vaccines encoded an ancestral spike protein. Updated bivalent vaccines and breakthrough infections have shaped the intricate diversity of the polyclonal antibody response and specificity of individual antibody clones. We and others previously showed that bivalent vaccines containing the ancestral and Omicron (BA.5) spikes induce high levels of cross-reactive antibodies but undetectable BA.5-specific antibodies in serum. Here, we assessed sera collected before as well as 1 and 3 months following administration of an updated XBB.1.5 monovalent vaccine to individuals with diverse infection and vaccination histories. Vaccination increased neutralization against recent variants of concern, including HV.1, JN.1, and the vaccine-homologous XBB.1.5. Antibody binding and avidity against ancestral and XBB.1.5 antigens significantly increased after vaccination. However, antibody depletion experiments showed that most of the response was cross-reactive to the ancestral spike, and only low levels of XBB.1.5-specific antibodies to the spike or the receptor-binding domain were detected. Importantly, increased antibody levels were still detectable in circulation 3 months post-vaccination and cross-reacted with severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) as measured by pseudovirus neutralization and binding assays. Overall, our data suggest that the XBB.1.5 monovalent vaccine predominantly elicits a cross-reactive response imprinted by viral spike antigens encountered early during the pandemic.IMPORTANCEUpdated COVID-19 vaccine formulations and SARS-CoV-2 exposure history affect the antibody response to SARS-CoV-2. High titers of antibodies are induced in serum by XBB.1.5 monovalent vaccination. Antibody depletion experiments reveal that the majority of the antibody response is cross-reactive to the ancestral spike, despite vaccination increasing neutralization against recently circulating Omicron variants. Vaccine-induced SARS-CoV-2 antibodies cross-react with SARS-CoV-1 and remain in the bloodstream for at least 3 months after immunization.

Indexed as

Antibodies, ViralCOVID-19COVID-19 VaccinesSARS-CoV-2AdultAntibodies, NeutralizingCross ReactionsFemaleHumansMaleMiddle AgedSpike Glycoprotein, CoronavirusVaccinationAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19 vaccinecross-reactive immune responsesimprintingSARS-CoV-2XBB.1.5 monovalent vaccine

Identifiers

PMID40042313
PMCPMC11980561

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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.