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Nov 29 15 tweets 5 min read Twitter logo Read on Twitter
I wanted to highlight this pre-print by David Ho’s group on the neutralizing antibody response to new (XBB.1.5-based) COVID vaccine booster, as it illustrates some points related to paradigm of updating SARS-CoV-2 vaccines to keep pace w viral evolution.
biorxiv.org/content/10.110…
Recall original COVID vaccines worked very well against early SARS-CoV-2 strains

Unfortunately, virus has been evolving, so antibodies elicited by that vaccine don’t neutralize newer viral variants very well

(Other human CoVs also evolve same way: ) journals.plos.org/plospathogens/…
Image
So in fall 2022, new booster was made that mixed new (at time) BA.5 variant & original strain. Hope was to boost neutralization of new variants.

Unfortunately, only sort of worked. Titers did go up, but not a relatively greater increase for new variants. Image
The new pre-print by David Ho’s group linked at top of this thread reports what happens w new booster that was rolled out this fall (2023), which contains just XBB.1.5

Punchline is things look much better in terms of boosting neutralizing titers specifically to new variants
As figure below shows, XBB.1.5 booster strongly (~20-fold) increases neutralization of XBB.1.5 & XBB-descended viruses

Boost mostly specific to newer variants, as increases smaller for older variants like D614G or BA.5

Also, XBB.1.5 vaccine and XBB infection give similar boost Image
Therefore, new XBB.1.5 booster is much better than prior booster at specifically boosting titers to newer variants.

So at serological level, this new booster is better overcoming “imprinting” (but more on that concept below).

This is a good thing. Image
Why is XBB.1.5 booster better boosting titers to new variants?

Current data insufficient to be sure. “Imprinting” used to refer to both serological effects (as above) or activation of new vs pre-existing B-cells

We don’t yet know what is happening at B-cell level w new booster
But to list some hypotheses:

Hypothesis 1⃣: Maybe problem w 2022 bivalent BA.5 booster was simply that inclusion of original strain impeded response to new strain, and main improvement of new booster is not including older strain.
Hypothesis 2⃣: Maybe greater antigenic distance of XBB.1.5 helps overcome imprinting possibly by reducing epitope masking by pre-existing serum antibodies, a la this study by @victora_lab nature.com/articles/s4158…
Hypothesis 3⃣: Maybe XBB.1.5 mostly still boosting “imprinted” B-cells at cellular level, but greater antigenic distance or accumulation of Omicron exposures is causing more expression & affinity maturation of antibodies that neutralize newer variants ()
But regardless of cause, observation that updated booster is now strongly boosting neutralization to new variants is good news for overall strategy of regularly updating vaccine to keep pace with SARS-CoV-2 evolution.
This fact is important, because evolution has not stopped. XBB-descended variants are still dominant most places globally and in USA, but there are indications that could potentially change fairly soon ().
Descendants of highly divergent BA.2.86 variant like JN.1 growing rapidly (), and also now recombinants w BA.2.86 spike and other genomic regions from XBB-descended viruses. These BA.2.86-descended viruses have many spike mutations relative to XBB.1.5.
As shown by @yunlong_cao () and also the new David Ho pre-print, the BA.2.86 descendant JN.1 has the most neutralization escape of any variant, although it’s only modestly worse than newest XBB descended variants.
Fact XBB.1.5 booster still increases titers to JN.1 is good. But boost smaller than for XBB-descended variants, underscoring JN.1 is antigenically distinct

So there will certainly be more updated boosters in years to come; good to see evidence current one is working as hoped Image

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More from @jbloom_lab

Nov 15
In study led by @bdadonaite we measure how mutations to XBB.1.5 spike affect cell entry, ACE2 binding & serum escape

Two key findings

1⃣ Mutations outside RBD meaningfully affect ACE2 binding

2⃣ Measurements help predict viral clade growth in real worldbiorxiv.org/content/10.110…
We made spike pseudovirus deep mutational scanning libraries of mutations across XBB.1.5 spike (as well as XBB.1.5 RBD and BA.2 spike libraries).

We used these libraries to measure how >9,000 mutations affected cell entry, ACE2 binding, and serum antibody escape. Image
To measure how mutations affected ACE2 binding, we leveraged approach previously used by David Ho & @yunlong_cao groups that is based on fact neutralization of spike-mediated entry by soluble ACE2 is proportional to ACE2 binding. Image
Read 20 tweets
Nov 3
In new work led by Will Hannon, we have created tool for visualizing deep mutational scanning data on protein structures, such as to aid in understanding effects of viral mutations.

Tool is at

Pre-print describing tool: dms-viz.github.io
biorxiv.org/content/10.110…
Tool makes it easy to visualize mutation-level measurements for a protein in context of structure. In this thread, I will walk through some examples.
For instance, our lab used deep mutational scanning to measure how all SARS-CoV-2 mutations affected REGN-COV2 antibody cocktail

Below is escape for both antibodies & I’ve clicked site 486 so you can see where it falls in structure of antibody-bound RBD

dms-viz.github.io
Image
Read 7 tweets
Sep 28
There have been many experimental papers on BA.2.86 over last month. This one by David Ho's group is one of most comprehensive:

I'm going to quickly summarize key points for people having hard time keeping up w all the recent BA.2.86 papers.biorxiv.org/content/10.110…
1⃣ Serum neutralization of BA.2.86 roughly comparable to XBB.1.5, & comparable or slightly better than newer XBB variants like EG.5.1

Similar results (within few-fold) reported by other groups too, eg @yunlong_cao @BenjMurrell @BarouchLab @sigallab @ShanLuLiu1 @SystemsVirology
2⃣ But BA.2.86 escapes somewhat different antibodies than XBB variants: BA.2.86 has more escape from SD1 & RBD class 2/3 Abs, but less escape from RBD class 1/4 Abs

So maybe BA.2.86 & XBB have slightly different immunological "niches"

Also see:
Read 5 tweets
Aug 30
Here are data from new XBB.1.5 spike deep mutational scanning by @bdadonaite in our group

Go to see how mutations affect:

1⃣ Neutralization by human XBB breakthrough sera

2⃣ Spike-mediated pseudovirus entry in 293T-ACE2 cells

3⃣ Spike affinity for ACE2dms-vep.github.io/SARS-CoV-2_XBB…
It will be a few weeks before we finish & post pre-print for study, but we wanted to share data now for those interested in interpreting current SARS2 evolution.

Measurements were made using lentiviral deep mutational scanning () with XBB.1.5 spike.sciencedirect.com/science/articl…
Experiments map sites in XBB spike where mutations escape neutralization by sera of humans w recent XBB infection

(Antibody response depends on exposure history, so escape may differ for other exposures not studied here)

Greatest escape is at sites 473, 357, 455/456, 420 Image
Read 10 tweets
Aug 16
I wanted to provide assessment of spike amino-acid mutations in new highly mutated 2nd generation BA.2 SARS-CoV-2 variant

This is analysis for those (like me) scientifically interested in SARS2 evolution

(Anyone else is completely within reason to ignore this variant right now)
Full analysis of the mutations is in these slides:

Analysis is based mostly on deep mutational scanning experiments

TLDR: lots of antigenic change, and some interesting RBD mutations (addition of N-linked glycan & deletion in receptor-binding motif)slides.com/jbloom/new_2nd…
First, to emphasize, only THREE sequences of variant identified so far. There is not currently evidence of wide transmission.

As this thread outlines, people who study SARS2 evolution may want to pay attention to features of this variant. Everyone else can ignore if they wish. Image
Read 12 tweets
Aug 3
In new study, we develop rigorous method to jointly analyze deep mutational scanning of different protein homologs or conditions

We use it to identify mutations w effects on spike-mediated viral entry that differ by >1,000-fold among #SARSCoV2 strains.

biorxiv.org/content/10.110…
As background, common question in evolution is if some mutations have different effects in different homologs or conditions

Eg, our lab has measured how most mutations to Delta, BA.1 & BA.2 spike affect viral entry. Which mutations have different effects in these viral variants?
If deep mutational scanning experiments were perfect, we’d just compare the measured effects of each mutation in the different spikes to see if they were non-identical.

But in practice, experiments have noise: so how do we tell true biological differences from noise?
Read 12 tweets

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