In new work led by @AllieGreaney, we analyze mutational escape of #SARSCoV2 from monoclonal & polyclonal antibodies in terms of RBD epitope classes (biorxiv.org/content/10.110…). Provides useful framework for conceptualizing effects of individual and combined mutations. (1/n)
Specifically, @cobarnes27@bjorkmanlab classified potent neutralizing anti-RBD antibodies in 3 classes using structural analyses (nature.com/articles/s4158…). These classes (1, 2, 3) shown below (also 4th class of less potent antibodies that bind further from ACE2 interface). (2/n)
@AllieGreaney used deep mutational scanning to map all mutations that escape binding to yeast-displayed RBD by antibodies of each class (from @NussenzweigL). Below are escape maps. Escape mutations usually at antibody contact sites, but not all contact site mutations escape (3/n)
We performed multi-dimensional scanning on the binding-escape maps to organize antibodies in the space of “viral escape.” Antibodies nearby in this space are escaped by similar mutations. (4/n)
We then mapped escape from polyclonal plasma, including for individuals from whom some of the antibodies isolated. Mutations that reduce plasma binding most similar class 2 antibody escape, even for individuals from whom antibodies of other classes were isolated. (5/n)
Therefore, even though immune system can make many different types of antibodies, a single class of antibodies usually functionally dominates the anti-RBD portion of the polyclonal response to infection. (6/n)
We analyzed which antibody classes escaped by emerging #SARSCoV2 mutations. Mutations spreading at sites of biggest escape for class 1 (K417) & class 2 (E484). But mutations at major class 3 escape sites (K444, G446, G447) not common, although L452 is modest class 3 escape (7/n)
Can also look in context of viral lineages (see table). Several lineages (B.1.351, P.1) combine escape mutations for two antibody classes, but none escape all three.
*Emergence of a major class 3 escape mutation in background of class 1 + 2 escape would be concerning.* (8/n)
Note caveat that we are only looking at RBD mutations here; NTD antibodies have distinct epitopes, so a full analysis should look for escape from different classes of RBD antibodies plus escape from NTD antibodies. (9/n)
Cool aside: @PaulBieniasz@theodora_nyc have performed elegant VSV-spike escape selections with many of these antibodies. If we overlap @AllieGreaney’s binding escape & @tstarr’s ACE2-affinity deep mutational scanning, great concordance with their viral selections! (10/n)
There are divergent opinions, as always for scientific questions w little evidence. But that’s point: there’s incomplete evidence either way. So like @mbeisen (
), I’m astonished about certainty professed given current evidence. (2/9)
Central to being a good scientist is keeping an open mind when evidence is sparse, and as a “virus expert” who has followed this topic closely: it’s clear in any objective assessment that both natural origins and accidental lab leak are plausible. (3/9)
We corroborate recent work showing LY-CoV555 and its cocktail with LY-CoV016 is escaped by mutations in B.1.351 and P.1 viral lineages (E484K and K417N/T, respectively), and also show that LY-CoV555 is affected by the L452R mutation in B.1.429. (2/n)
Specifically, we used complete mapping approach we had previously applied to antibodies in REGN-COV2 (science.sciencemag.org/content/371/65…) to also determine how all RBD mutations affect LY-CoV555 binding. Below are maps of how mutations affect binding (big letter = escape from binding) (3/n)
Our complete mapping of mutations to #SARSCoV2 RBD that reduce binding by convalescent human plasma is out in @cellhostmicrobe (cell.com/cell-host-micr…). Right now E484K getting lot of attention, but I want to emphasize what our results suggest to keep eyes on in *future* (1/n)
To recap, we measured how all mutations to RBD reduce binding by antibodies in convalescent plasma. Lots of person-to-person variation in effects of mutations, but mutations at E484 have biggest effect. My old summary from early Jan:
That summary was written just as E484K-containing 501Y.V2 (B.1.351) & 501Y.V3 (P.1) lineages were being reported & focused on E484 as most important site of mutations. Since then, many labs have characterized these lineages to confirm E484K is major antigenic change. (3/n)
Our study mapping #SARSCoV2 mutations that escape key therapeutic monoclonal antibodies is out in @ScienceMagazine. The study also shows that some of these escape mutations arise in a persistently infected patient treated with REGN-CoV-2: science.sciencemag.org/content/early/… (1/n)
), so in this thread I'll just update on new insights since we posted the pre-print in late November. (2/n)
In the study, we mapped all mutations to #SARSCoV2 RBD that escape binding by recombinant forms of antibodies in REGN-CoV2 cocktail (Regeneron) and LY-CoV016 antibody (Eli Lilly). These maps are useful because some of these mutations are appearing in new viral lineages (3/n).
In this short thread, I am going to plot some experimental data in a way that provides perspective on concerns that #SARSCoV2 mutation E484K will completely abolish immunity. (Thanks @profshanecrotty@apoorva_nyc for inspiring this post.) (1/n)
Last week, we posted a study describing how some #SARSCoV2 mutations, especially at site E484, reduce binding & neutralization (
). This study (& similar ones by other) have drawn a lot of interest since E484K is in B.1.351 viral lineage. (2/n)
However, E484 mutations *reduced* neutralization, they did not ablate it. The plot below shows how E484 reduces neutralization titers for 16 sera. The dashed orange line shows titers against unmutated virus (measured by Pfizer) after 1 dose of BNTB162 vaccine. (3/n)
Here's plot of how mutating RBD sites affects average serum binding (y-axis) vs frequency of mutations (x-axis). E484K in S African lineage most worrying. But others affect some serum to various degrees & no such thing as "average" human when it comes to serum specificity (13/n)
This relative role of RBD & NTD mutations consistent w historical evolution of common-cold CoV-229E, where mutations concentrated in receptor-binding loops of RBD, but also in parts of NTD. Here is plot of mutational variability in CoV-229E spike: