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Jul 27 15 tweets 5 min read Twitter logo Read on Twitter
This paper from Linfa Wang’s group to which @tylernstarr & I contributed illustrates interesting points about

1⃣ Importance of imprinting for antibody specificity to SARS-like CoV

2⃣ How it may be easier to broadly neutralize animal sarbecoviruses than human #SARSCoV2 variants
Briefly, the study (which was led by Wan Ni Chia @CheeWahTan2 @LokShee @linfa_wang), isolated antibodies from person who had been infected by SARS-CoV-1 in ~2003, then received Pfizer SARS-CoV-2 vaccine in 2021.
So unlike most people in the world, whose first immunological exposure to a SARS-related CoV was to an early SARS-CoV-2 strain via either infection or vaccination in 2020 or 2021, this person’s immune system had been “imprinted” by SARS-CoV-1 prior to their COVID vaccine.
Three antibodies (E7, F1, and F5) effectively neutralized pseudoviruses with spikes from SARS-CoV-1 and SARS-CoV-2, as well as other animal SARS-related coronaviruses like WIV1 & GX-pangolin.

So these antibodies broadly neutralize many animal sarbecoviruses (SARS-related CoVs). Image
Our group mapped the functional epitope of these three antibodies (E7, F1, and F5) using deep mutational scanning, and showed all three had escape mutations at sites 408, 411, and 414. Image
Our escape calculator (), which integrates deep mutational scanning from @yunlong_cao, shows sites 408, 411, & 414 are rarely targeted by neutralizing antibodies elicited by SARSCoV2 vaccines/infections in humans without prior SARS-like virus exposure. https://t.co/1zZU1XxXyhjbloomlab.github.io/SARS2-RBD-esca…
Image
However, site 408 is a major focus of antibodies elicited by SARSCoV2 vaccination of humans with prior SARS-CoV-1 infection.

The differences between image shown here & post immediately above illustrate how profoundly immune imprinting shapes antibody specificity. Image
At first this seems exciting: imprinting with SARS-CoV-1 followed by boosting w SARS-CoV-2 can elicit antibodies that neutralize sarbecoviruses that only have ~76% spike protein identity!

But there are significant caveats when you dig a bit more deeply…
The antibodies E7, F1, & F5 cross neutralize both SARS-CoV-2 & animal sarbecoviruses w spike identities of only ~76%, but they have greatly reduced neutralization against newer SARS-CoV-2 variants (like XBB) even though XBB has >96% spike amino-acid identity to early SARS-CoV-2. Image
This underscores a point that is insufficiently appreciated in discussions of pan-sarbecovirus vaccines & antibodies:

It is probably EASIER to cross-neutralize animal sarbecoviruses w ~75% spike identity than human SARS-CoV-2 variants w >95% spike identity.
This observation may sound counterintuitive, but it has a good explanation: relative rates of genetic evolution (how much the sequence changes) and antigenic evolution (extent of antibody escape) can depend on the host species.
Species-specific differences in antigenic evolution are best characterized for influenza virus, where similar viruses undergo much more rapid antigenic evolution in humans than in pigs (eg, )microbiologyresearch.org/content/journa…
Reason is easy to understand:

Humans are long-lived, so viruses get a big advantage from antibody-escape mutations that let them re-infect previously exposed individuals.

This is a lot less true for pigs, where a large fraction of population is always naïve. Image
Although ecology of SARS-like CoVs less understood, probably antigenic mutations confer less advantage in bats than humans for similar reason.

Indeed, another study Linfa Wang shows less antigenic evolution in animal vs human SARS-like viruses: nature.com/articles/s4156…
Taken together, this illustrates how exposure to diverse animal SARS-related CoVs can elicit antibodies that broadly neutralize such viruses.

But this may be of only modest use against SARS-CoV-2 variants that evolved in humans under pressure to escape neutralizing antibodies.

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More from @jbloom_lab

Jun 5
I wanted to post notes on potentially beneficial non-spike mutations in #SARSCoV2 variants XBB.1.16 & XBB.1.9.1, two of fastest growing variants.

These are from estimates of effects of mutations to all SARS-CoV-2 proteins from @richardneher & myself
Both XBB.1.16 & XBB.1.9.1 have I5T mutation in ORF9b innate-immune antagonist accessory protein. XBB.1.16 also has N55S in this protein.

According to our estimates (jbloomlab.github.io/SARS2-mut-fitn…), I5T in ORF9b is beneficial while N55S is roughly neutral Image
XBB.1.9.1 has the T35I mutation in nsp9 (equivalent to T4175I in ORF1a).

According to our estimates (jbloomlab.github.io/SARS2-mut-fitn…), T35I in nsp9 is beneficial. Image
Read 6 tweets
May 16
I’ve created new SARS-CoV-2 antibody escape calculator () with latest data from @yunlong_cao

TLDR: look at image below for likely future sites of antigenic evolution in XBB spike.

For details, read full thread below. https://t.co/yB43xtDIuLjbloomlab.github.io/SARS2-RBD-esca…
Image
Escape calculator uses deep mutational scanning to quantify antibody escape caused by mutations.

Update is based on large new dataset recently posted by @yunlong_cao et al:

Dataset is first to include antibodies induced by multiple Omicron infections.
This addition is important, because as @yunlong_cao describes in his thread, two Omicron infections is sufficient to partially break imprinting in their cohort & induce new antibodies.

So sites of escape differ depending on number of Omicron exposures (see image below). Image
Read 21 tweets
Apr 27
In new study, I have analyzed correlation between SARS-CoV-2 & animal genetic material in full set of environmental samples from Huanan Seafood Market.
biorxiv.org/content/10.110…

Analysis clarifies what sequencing these samples can & cannot tell us about early outbreak at market.
Background:

China first reported coronavirus cases associated w market & no human transmission. But then we learned was human transmission & some early cases not from market.

Thus began still unanswered questions of role of market, nicely summarized here science.org/content/articl…
In 2022, Chinese CDC released pre-print describing sampling market beginning Jan-1-2020: researchsquare.com/article/rs-137…

They collected 457 animal & 923 environmental samples. They stated all animal samples tested negative, but 73 environmental samples positive.
Read 40 tweets
Apr 13
I wanted to flag this study by Lihong Liu, David Ho, et al that identifies new class of #SARSCoV2 antibodies that neutralize all major variants from early strains (eg, D614G) to current strains (eg, XBB.1.5): biorxiv.org/content/10.110…
These antibodies, 12-16 and 12-19, bind to an epitope at the interface of the NTD and SD-1 domain.

They block ACE2 binding, but not by directly binding the RBD.

Instead, they lock the RBD in the down conformation, as schematized below. Image
Most NTD antibodies (eg, those directed to supersite) act by Fc steric hindrance.

But new antibodies in this paper (12-16 & 12-19) are equally potent neutralizers as IgG or F(ab')2 molecules that lack Fc, whereas NTD supersite antibodies like 4-18 are less potent without Fc. Image
Read 4 tweets
Apr 11
The final version of our study on how the SARS-CoV-2 mutational spectrum has shifted during the virus's evolution is published in @MolBioEvol: academic.oup.com/mbe/advance-ar…

This was a collaboration with Annabel Beichmann, @richardneher, and @Kelley__Harris
Below is the summary of the study from when we posted the pre-print:

The main addition in the final version is that we have expanded to more viruses the analysis of the mutational spectrum versus equilibrium nucleotide frequencies.
If you're interested in this topic, note also this earlier study by @Chris3Ruis @AndresFloto et al that first noted how the mutational spectrum of SARS-CoV-2 has changed during its evolution: biorxiv.org/content/10.110…
Read 4 tweets
Mar 25
In a new study led by @CaelanRadford in collaboration with @FKlein_lab, we use an improved deep mutational scanning system to map the neutralizing specificities of broad human polyclonal serum antibodies from individuals living with HIV.
biorxiv.org/content/10.110…
As background, HIV infection sometimes elicits antibodies that broadly neutralize many strains.

Individual broadly neutralizing antibodies have been extensively characterized, but it is much harder to map the neutralizing specificity of the actual polyclonal antibody response.
Our group previously used deep mutational scanning to map mutations affecting HIV antibody neutralization by creating mutant libraries of Env in actual virus (sciencedirect.com/science/articl…). While that work has been useful, it had 3 main limitations…
Read 18 tweets

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