Bloom Lab Profile picture
Dec 18, 2020 17 tweets 9 min read Read on X
In new work, we show a human coronavirus evolves to escape neutralization by antibody immunity (biorxiv.org/content/10.110…). Specifically, we studied the historical evolution of the common-cold CoV-229E to learn how #SARSCoV2 might evolve & if we might need to update vaccines. (1/n)
We first built a phylogenetic tree of CoV-229E evolution from 1984 to the present, and experimentally reconstructed the spike from viruses at 8 year intervals (1984, 1992, etc; see large black strain names in tree below). (2/n) Image
Next we tested how well human sera collected shortly after 1984 neutralized each viral spike. Below is serum from 26 yr old collected in 1985: it neutralizes 1984 virus well, but 10-fold less activity against 1992 virus & no activity against viruses after 2008. (3/n) Image
Sometimes, the loss of neutralization of "future" evolved CoV-229E virus is even more dramatic. Below is serum collected in 1990 from a 28 yr old that neutralized 1984 virus very well, but has no activity against any viruses more recent than that! (4/n) Image
These results show that the coronavirus is evolving antigenically, so immunity elicited against older CoV-229E is eroded by mutations in spike. For instance, this serum collected in 1995 neutralizes viral spikes from before then, but has reduced activity against new spikes. (5/n) Image
In contrast, "modern" serum collected from adults in 2020 tends to neutralize all historical viruses (see below for example), suggesting antibody immunity itself is durable: the problem is viral evolution that escapes antibodies to older viruses. (6/n) Image
We did additional experiments suggesting much of the antigenic evolution is in the spike's RBD, which is the most evolutionarily variable part of the CoV-229E spike, especially in receptor binding loops (see below & paper for more details). (7/n) Image
Why is spike antigenically evolving so fast given that coronaviruses have lower mutation rates than other RNA viruses such as flu? Well, mutation rate is only one part of evolution, which also depends on how selection acts on effects of mutations. (8/n)
Unfortunately, CoV spike RBD is mutationally tolerant (see @tylernstarr's deep mutational scanning: sciencedirect.com/science/articl…) & selection can strongly favor mutations in seasonal CoV spikes (see Kistler & @trvrb: biorxiv.org/content/10.110…). This enables antigenic evolution. (9/n)
What does this mean for #SARSCoV2 immunity? First, need to emphasize that our work was done in CoV-229E, which is a *different* human CoV. Nonetheless, there is lots of evidence antigenic mutations occur in #SARSCoV2 too (citations in Tweet 13 below). (10/n)
But people should not be alarmed. Human immunity is polyclonal, so even in worst case it would take years to get enough viral mutations to fully escape. Furthermore, even residual immunity to antigenically evolved viruses could reduce disease severity (this is unknown). (11/n)
Furthermore, leading vaccines to #SARSCoV2 using cutting-edge approaches (eg, mRNA) that should make it easy to update spike sequence if there is evolution. So for this reason, we need to carefully monitor virus for antigenic evolution. (12/n)
This is why many labs (eg, ours, @vsv512 @PaulBieniasz @theodora_nyc) have been mapping which #SARSCoV2 mutations reduce antibody and serum neutralization (eg, elifesciences.org/articles/61312, biorxiv.org/content/10.110…, biorxiv.org/content/10.110…, sciencedirect.com/science/articl…). (13/n)
This is important! If we identify possible antigenic mutations ahead of time, then if #SARSCoV2 evolves to escape immunity like CoV-229E, we can see it happening--and if needed vaccines could be periodically updated as is already done for influenza. (14/n)
Another hopeful thing: we found some people had immunity that was resistant to viral evolution. For instance, serum of 35 yr old below neutralized CoV-229E from 2 decades later. If we learn what makes some immunity evolution-resistant, maybe we can better elicit it. (15/n)
This work was led by @eguia_rachel and @khdcrawford in our group.

Great collabs, including @GreningerLab. Although >2e5 #SARSCoV2 seqs, few CoV-229E seqs in last decade almost all from @GreningerLab @UWVirology. By sequencing "less popular" viruses, they enabled our study (16/n)
I forgot to include image of serum from 35 yr old that had immunity that is more resistant to viral evolution. Here it is, see how this sera collected in 1986 neutralizes viruses from two decades later. Ideally, a vaccine would elicit sera like this! Image

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Bloom Lab

Bloom Lab Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @jbloom_lab

Nov 21
I’ve updated SARSCoV2 antibody-escape calculator w new deep mutational scanning data of @yunlong_cao @jianfcpku

My interpretation: antigenic evolution currently constrained by pleiotropic effects of mutations on RBD-ACE2 affinity, RBD up-down position & antibody neutralization
First, the updated escape calculator is at

As shown below, it is remarkable how much antigenicity of RBD has changed over last 4 yrs. jbloomlab.github.io/SARS2-RBD-esca…Image
Updated data for calculator from this paper by @yunlong_cao’s group (nature.com/articles/s4158…), described in this thread by first author @jianfcpku:
x.com/jianfcpku/stat…

Calculator show how much mutations at each RBD site escape binding by set of neutralizing antibodies
Read 13 tweets
Nov 16
@Nucleocapsoid @HNimanFC @mrmickme2 @0bFuSc8 @PeacockFlu @CVRHutchinson Good observations. See also this thread posted by @SCOTTeHENSLEY:

I have added a few notes to the bottom of that thread.

To recap here:bsky.app/profile/scotte…
@Nucleocapsoid @HNimanFC @mrmickme2 @0bFuSc8 @PeacockFlu @CVRHutchinson @SCOTTeHENSLEY To add to thread linked above, human British Columbia H5 case has a HA sequence (GISAID EPI_ISL_19548836) that is ambiguous at *both* site Q226 and site E190 (H3 numbering)

Both these sites play an important role in sialic acid binding specificity
@Nucleocapsoid @HNimanFC @mrmickme2 @0bFuSc8 @PeacockFlu @CVRHutchinson @SCOTTeHENSLEY If you are searching literature, these sites are E190 and Q226 in H3 numbering, E186 and Q222 in mature H5 numbering, and E202 and Q238 in sequential H5 numbering (see: )dms-vep.org/Flu_H5_America…
Read 6 tweets
Oct 8
Below is brief analysis of HA mutations in two recent cases of H5N1 influenza in humans w contact w dairy cattle in California.

Summary is that while virus continues to evolve, nothing about HA mutations in these human cases is obviously alarming. Image
As background, CDC reported several recent cases of H5 influenza in California.

CDC and California DOH recently shared sequences of two of these cases via GISAID.
cdc.gov/media/releases…
California human cases share two HA mutations relative to "consensus" dairy cattle virus HA:

D95G & S336N in H3 numbering (D88G & S320N in H5 numbering; D014G & S336N in sequential numbering).

Both these mutations also in some dairy cattle HAs, so not unique to human cases. Image
Read 10 tweets
Sep 15
Here is analysis of HA mutations in H5 influenza case in Missouri resident without known contact w animals or raw milk.

TLDR: there is one HA mutation that strongly affects antigenicity, and another that merits some further study.
As background, CDC recently released partial sequence of A/Missouri/121/2024, which is virus from person in Missouri who was infected with H5 influenza.


Here I am analyzing HA protein from this release, GISAID accession EPI_ISL_19413343cdc.gov/bird-flu/spotl…
Sequence covers all of HA except signal peptide, and residues 325-351 (sequential numbering) / 312-335 (H3 numbering). The missing residues encompass HA1-HA2 boundary, and any missed mutations there unlikely to affect antigenicity or receptor binding, but could affect stability.
Read 16 tweets
May 25
In new study led by @bdadonaite, we measure how all mutations to H5 influenza HA affect four molecular phenotypes relevant to pandemic risk:


Results can inform surveillance of ongoing evolution of H5N1. biorxiv.org/content/10.110…
Image
To measure how all HA mutations affect those phenotypes, we created pseudovirus libraries of HA from WHO clade 2.3.4.4b vaccine strain.

Pseudoviruses encode no genes other than HA, so can only do a single cycle of infection making them safe for biosafety-level-2. Image
First, we measured how all mutations affected HA-mediated cell entry, which is essential for viral fitness

See heatmap below, which is easily visualized interactively at

Some sites constrained (orange); others w many well tolerated mutations (white/blue) dms-vep.org/Flu_H5_America…
Image
Read 15 tweets
Apr 20
In new study led by @bblarsen1 in collab w @veeslerlab @VUMC_Vaccines we map functional & antigenic landscape of Nipah virus receptor binding protein (RBP)


Results elucidate constraints on RBP function & provide insight re protein’s evolutionary potentialbiorxiv.org/content/10.110…
Nipah is bat virus that sporadically infects humans w high (~70%) fatality rate. Has been limited human transmission

Like other paramyxoviruses, Nipah uses two proteins to enter cells: RBP binds receptor & then triggers fusion (F) protein by process that is not fully understood
RBP forms tetramer in which 4 constituent monomers (which are all identical in sequence) adopt 3 distinct conformations

RBP binds to two receptors, EFNB2 & EFNB3

RBP’s affinity for EFNB2 is very high (~0.1 nM, over an order of magnitude higher than SARSCoV2’s affinity for ACE2) Image
Read 12 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(