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jbloom merged 1 commit into from
Feb 23, 2026
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update 2025 kikawa paper to final _eLife_ version #80

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7 changes: 5 additions & 2 deletions papers/2025_kikawa.md
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Expand Up @@ -17,8 +17,8 @@ authors:
- "Trevor Bedford"
- "Jesse D Bloom"
journal: "eLife"
doi: "10.7554/eLife.106811.3"
link: "https://doi.org/10.7554/eLife.106811.3"
doi: "10.7554/eLife.106811.4"
link: "https://doi.org/10.7554/eLife.106811.4"
image: "/assets/papers/2025_kikawa.jpg"
keywords:
- "Influenza"
Expand All @@ -29,3 +29,6 @@ selected: true

## Abstract
Human influenza viruses rapidly acquire mutations in their hemagglutinin (HA) protein that erode neutralization by antibodies from prior exposures. Here, we use a sequencing-based assay to measure neutralization titers for 78 recent H3N2 HA strains against a large set of children and adult sera, measuring ~10,000 total titers. There is substantial person-to-person heterogeneity in the titers against different viral strains, both within and across age cohorts. The growth rates of H3N2 strains in the human population in 2023 are highly correlated with the fraction of sera with low titers against each strain. Notably, strain growth rates are less correlated with neutralization titers against pools of human sera, demonstrating the importance of population heterogeneity in shaping viral evolution. Overall, these results suggest that high-throughput neutralization measurements of human sera against many different viral strains can help explain the evolution of human influenza.

## Perspectives
For more context, see the [nice perspective](https://elifesciences.org/articles/110630) published alongside this paper.
3 changes: 3 additions & 0 deletions posts/2025-03-12_h3-seqneut.md
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Expand Up @@ -18,3 +18,6 @@ For accessible summaries of the study, see:
This study was the product of exciting work by Caroline Kikawa and Andrea Loes in our group to develop better ways to measure the ability of serum neutralization to many viral strains, and then apply that work to understand influenza evolution.

We are especially excited to continue the work with newer libraries and sera sets chosen on a timeline that can actually inform the twice-per-year influenza vaccine strain selection choices.

## Update
See the [nice perspectives article](https://elifesciences.org/articles/110630) published alongside the final version of this paper.