Evidence map›Paper›PMID 41632570›Full record

ArticleCell reports2026

SARS-CoV-2 fusion-peptide-directed antibodies are elicited by natural infection and can mediate broad sarbecovirus neutralization.

Alex L Roederer, Chia Jung Li, Eunice Lim, Yi Cao, Larance Ronsard, Daniel Lingwood, David H Canaday, Stefan Gravenstein, Alejandro B Balazs

Abstract read
In one paragraph

Article in Cell reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alex L RoedererRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
Chia Jung LiRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
Eunice LimRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
Yi CaoRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
Larance RonsardRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
Daniel LingwoodRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
David H CanadayCase Western Reserve University School of Medicine, Cleveland, OH, USA; Geriatric Research Education and Clinical Center, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, OH, USA.
Stefan GravensteinCenter of Innovation in Long-Term Services and Supports, Veterans Administration Medical Center, Providence, RI, USA; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, USA; Brown University School of Public Health Center for Gerontology and Healthcare Research, Providence, RI, USA.
Alejandro B BalazsRagon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA. Electronic address: abalazs@mgh.harvard.edu.

Funding

SARS-CoV-2 Variant TestingR01AI146785 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LINGWOOD, DANIEL · 2020 to 2024
$3.3M
Polyclonal Bi-Specific Vectored ImmunoTherapy to Functionally Cure HIV InfectionDP1DA060607 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI Alejandro Benjamin Balazs · 2024 to 2026
$3.2M
Eliminating the Immunogenicity of AAV Vectored HIV Antibody DeliveryR01AI174276 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Alejandro Benjamin Balazs · 2024 to 2026
$2.5M
Triggering germline-encoded broadly neutralizing antibody responses against influenza virusR01AI153098 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BATISTA, FACUNDO DAMIAN, LINGWOOD, DANIEL · 2020 to 2023
$2.1M
Systemic coordination of pro-inflammatory immune reactions through dendritic cell-restricted sIL6R biogenesisR01AI155447 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI LINGWOOD, DANIEL · 2021 to 2025
$2.0M
AAV Vectored Delivery of Broadly Neutralizing Antibodies with Optimal Innate Functionality Against HIVR01AI174875 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BALAZS, ALEJANDRO BENJAMIN · 2023 to 2024
$1.6M
NIAID NIH HHS R01 AI146785NIAID NIH HHS R01 AI153098NIAID NIH HHS R01 AI155447NIAID NIH HHS R01 AI174276NIAID NIH HHS R01 AI174875NIDA NIH HHS DP1 DA060607
6 · The paper itself

Abstract

Studies have demonstrated that repeated mRNA vaccination enhances the breadth of neutralization against diverse severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. However, the development of antibodies capable of neutralizing across the Coronavirinae subfamily is poorly understood. In this study, we analyze serum samples to determine their neutralization breadth and potency and identify their antigenic targets. Using a cohort of older individuals and healthcare workers, we track correlates of broad neutralizing responses, including fusion peptide (FP) antibody elicitation. We find that although broadly neutralizing responses are often a result of receptor-binding domain (RBD)-specific antibodies, a rare subset of donors produce FP-specific broadly neutralizing responses. Interestingly, FP-specific antibodies are not observed in COVID-naive individuals, irrespective of vaccination regimen; rather, they occur following natural infection or vaccine breakthrough. This study highlights which epitope targets underpin broadly neutralizing antibody responses to coronaviruses and suggests that existing vaccines are insufficient to promote the elicitation of FP-directed broadly neutralizing coronavirus antibodies.

Indexed as

Antibodies, NeutralizingAntibodies, ViralCOVID-19SARS-CoV-2AnimalsCOVID-19 VaccinesEpitopesHumansNeutralization TestsPeptidesSpike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesEpitopesPeptidesSpike Glycoprotein, Coronavirusbroad neutralizationCOVID-19CP: immunologyfusion peptideneutralizing antibodiesSARS-CoV-2stem helix

Identifiers

PMID41632570
PMCPMC12983132

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.