Jeff Gilchrist Profile picture
Jan 10 32 tweets 6 min read Read on X
Broad-Spectrum #COVID-19 #Therapeutics and #Prophylactics

An interesting presentation by Yunlong Richard Cao @yunlong_cao talking about their development of broadly #neutralizing #antibodies based on prediction of #viral #evolution ( ). 🧵1/
Slide showing how the immune barrier induced by vaccines and natural infection have been repeatedly evaded by the new COVID-19 variants. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
Read on to find out how their research team developed a neutralizing antibody solution (injection & nose spray) that works with all current variants, including the older SARS1 virus from 2003 and the currently globally dominant BA.2.86 Pirola clan of variants. 2/
Slide showing SA55 available as an injection to act as a long-term prophylactic or therapeutic for immunocompromised people (80-90 day half-life). Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
Slide showing SA55 available as a nasal spray that is supposed to be low cost and provide short-term prophylactics (3 sprays per day) with 8-12h protection per spray providing high neutralization in the mucosa. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
An unrolled one-page web view for this long thread that may be easier to read or share can be found here ( ). 3/
The COVID-19 virus is evolving so quickly with such massive unmitigated transmission that clinical development of vaccines and antibody drug development is too slow and can't keep pace. 4/
Even if updated vaccines can be designed quickly, they still take 4+ months to deploy and by then the variant landscape has already changed. 5/
Back in 2020 Dr. Cao found 300 human neutralizing antibodies and their team picked the 2 most potent antibodies to develop therapeutics. 6/
They passed phase 2 clinical trials but before they were ready to be used, the Omicron variant could already escape the antibodies, wasting about $150M. 7/ Slide of personal example of how viral evolution ruins clinical development. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
What is really interesting, there are still several of those original 300 neutralizing antibodies that remain potent to all variants to date, so they chose the wrong antibodies to develop. 8/
Dr. Cao wanted to find out how you identify the most broad-spectrum antibodies instead of the most potent ones so they are more likely to remain effective even with viral evolution. 9/
If you can try to predict viral evolution you might be able to select or design the best antibodies that will work long-term. 10/
For the past few years, Dr. Cao has been working on predicting the evolution of the SARS-CoV-2 virus. While mutations in the virus happen randomly, only the fittest survive and become successful which usually means they need to follow two criteria:

11/
1) maintain high binding efficiency to the ACE2 receptor to ensure viral replication
2) escape human neutralizing antibodies to evade immunity

12/ Slide showing survival of the fittest from random mutations of the virus. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
Following that hypothesis, Dr. Cao's team did high-throughput experiments to measure the impact of each mutation on the virus' infectivity and immune escape capability to predict the "optimal solution" for viral evolution. 13/
Using techniques developed over time they published a predictive model and highly immune evasive variant sequences in Sept. 2022. 14/
One month later in Oct. 2022 the BQ.1.1 and CH.1.1 variants that emerged XBB variant in Nov. 2022 sequentially gained the top 3 predicted mutations (346, 444, 460) and 490 for XBB. 15/ Slide showing the prediction model worked for new variants such as BQ1.1, CH.1.1 and XBB. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
Now it was time to try again to develop another solution but this time based on their virus evolution prediction model. 16/
They started with people who had been infected with SARS1 in 2003 who also had a COVID-19 vaccination in 2021 to screen 1400 antibodies and selected 1 for development. 17/
The neutralizing antibody they developed is called SA55 which can also neutralize SARS1 and many sarbecoviruses. 18/
You can see from the table that over time as new variants emerged, the other antibody therapeutics all stopped working since the virus evolved to escape those antibodies, while SA55 continues to neutralize even the latest BA.2.86 Pirola variants that are dominating globally. 19/ Slide showing variant escape of various therapeutics except for SA55 Sinovac solution based on virus evolution prediction. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
Previously, the most potent antibodies were selected which has already proven to be a bad strategy, instead you need to screen for the most broad ones. 20/
The reason they selected SA55 was by doing the mutation screening they found that SA55 can only be escaped by mutations on 503 and 504. 21/ Slide showing why SA55 was selected for clinical development, due to no immune pressure as the SA55 escaping sites. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
From their prediction model they know there is currently no immune pressure at locations 503 and 504 at all so choosing this antibody was a very safe choice. 22/
It is very difficult for a virus carrying mutations in location 503 and 504 to successfully transmit among a population which helps explain why after 2.5 years this antibody has not yet been evaded. 23/
SA55 has been made into multiple tools already. One is an injection for immunocompromised people to act as a long-term prophylactic with an 80-90 day half-life or therapeutic. It has already been used to treat 2,000 elderly patients in Beijing during the outbreak in December. 24/ Slide showing SA55 available as an injection to act as a long-term prophylactic or therapeutic for immunocompromised people (80-90 day half-life). Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
The second tool is a SA55 nasal spray that is supposed to be low cost and provide short-term prophylactics (3 sprays per day) with 8-12h protection per spray providing high neutralization in the mucosa. 25/ Slide showing SA55 available as a nasal spray that is supposed to be low cost and provide short-term prophylactics (3 sprays per day) with 8-12h protection per spray providing high neutralization in the mucosa. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
It has been used by over 200,000 people and provides about 80% protection against symptomatic infection. 26/
The real challenge is future vaccines. Choosing the XBB.1.5 variant for this fall's vaccine dose selection was not the optimal solution but a practical solution. 27/
From the time the XBB.1.5 variant was chosen in May to when the vaccine was deployed in the USA (September), there was already a 4x decrease in vaccine efficacy because variants had changed so much through natural evolution. 28/
Instead of always being behind, a new strategy is needed for COVID vaccine development and Dr. Cao suggests creating a broad-spectrum vaccine based on viral evolution prediction. 29/ Slide showing new strategy for vaccines to create broad-spectrum COVID vaccine based on viral evolution prediction. Image from: https://www.youtube.com/watch?v=OxpJM4gqwec
Instead of basing vaccines on already existing naturally occurring variants, design them based on mutation prediction from current variants to determine what the most likely mutations are going to be. 30/
Hopefully vaccine manufacturers will start using better strategies like this in the future than always chasing variants and being left behind. 31/
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More from @jeffgilchrist

Nov 10
COVID-19: Stats, Guides, Articles, Calculators

COVID-19 guides, useful info, stats, calculators & 600+ scientific articles: covid.gilchrist.ca

Ottawa, Canada weekly stats: covid.gilchrist.ca/Ottawa.html

Ontario, Canada weekly stats: covid.gilchrist.ca/Ontario.html

🧵1/ Graph of COVID-19 wastewater levels in Ottawa, Ontario, measured from Sept. 1, 2021. Weekly stats available at ( http://covid.gilchrist.ca/Ottawa.html )
Sankey graph (height of each bar is # of sequences for that variant) showing top variants and their lineages over the past 6 weeks from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D&pageName=ReportSection32240d6b62ba73667e98 )
A sample of some threads listed on the website ( covid.gilchrist.ca ):

How do variant designations work and relate to our immunity ( x.com/jeffgilchrist/… )? 2/
Why should we care about a virus with a "99.8% survival rate" ( )? 3/
Read 16 tweets
Nov 10
#Variant update for #Ontario, #Canada (to Oct 29, 2024)

The KP.3.1.1 #DeFLuQE variant is having some competition from XEC and MC.1 now. Graph tools by @Mike_Honey_ 🧵1/ Graph of top 7 COVID variants from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D )
XEC is a combination of KP.3.3 and KS.1.1 that recombined together. MC.1 is a direct descendant of KP.3.1.1 with one spike mutation at T571I. To learn more about how variant naming works, you can read this article I wrote with @paulseaman31 ( ). 2/docs.google.com/document/d/1q0…
This Sankey graph shows the proportion of variants from PCR test genomic sequencing in Ontario since September 15, 2024. You can follow the lineage backwards to see where a variant is a descendant from. 3/ Sankey graph (height of each bar is # of sequences for that variant) showing top variants and their lineages over the past 6 weeks from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D&pageName=ReportSection32240d6b62ba73667e98 )
Read 9 tweets
Sep 22
Ceilings fans can reduce short-range viral concentrations close to the infected (54%-77%) while increasing long-range levels (5%-14%). Only recommended when # people in room is less than decision tool for various ventilation rates with not highly contagious pathogens (e.g. cold).

Decision tool for using or not using fans to mix the air in the room. Decision tool for using or not using fans under various ventilation rates (200, 400, and 800 m³/h) on reducing overall airborne transmission risk, considering occupants with and without the use of masks. The logarithmic scale on the left vertical axis shows the contagiousness of the pathogen, which indicates the quanta emission rate. The horizontal axis measures the number of people at long-range distances in relation to per person ventilation rates. The range of conditions that using fans is beneficial is filled in turqu...
The number concentration of lumped tracer particles between 0.3 and 5.0 μm for both short-range and long-range routes, respectively.
Link to full study here ( ).sciencedirect.com/science/articl…
There are some important caveats in this research. "Fans are beneficial in well-ventilated rooms with not highly contagious pathogens." 3/
Read 4 tweets
Sep 19
Variants: JN.1 vs KP.2 vs KP.3.1.1

What do the variant designations like KP.3.1.1 mean and how does it compare to JN.1? How important is just 1 mutation? Can 1 mutation potentially affect our immunity and how vaccines are designed? Read on to find out more. @paulseaman31 🧵1/ Structural alignment of the AF2-predicted RBD conformational ensembles in the complexes with ACE2 for JN.1 (A), KP.2 (B) and KP.3 variants (C). Structural alignment of the AF2-predicted conformations with high pLDDT values > 80.0 and the cryo-EM structure of the BA.2.86 RBD-ACE2 complex (pdb id 8QSQ). The RBD conformations are shown in ribbons. The sites of unique BA.2.86 mutations D339H, K356T, R403K, V445H, G446S, N450D, L452W, N460K, N481K, A484K, F486P, R493Q are shown in blue spheres on panels (A-C). Mutation L455S in JN.1 is shown in red spheres on panel A. The positions of KP.2 mutat...
The web version of this article with nice table of contents and is easy to share with others can be found here ( ) or ( ). 2/ tinyurl.com/VariantsSummer…
docs.google.com/document/d/1q0…
Table of Contents Variant Designations (e.g. KP.3.1.1) - Parent & Child Lineages - KP.3 vs KP.3.1 vs KP.3.1.1 - Variants that Start with X How does this relate to our immunity? How important is 1 mutation? What variants are circulating now? - Canada - USA - United Kingdom - Europe - Asia - South America -Oceania
Variant Designations (e.g. KP.3.1.1)

You have probably seen people refer to COVID-19 variants with specific codes containing both letters and numbers like JN.1 or XBB.1.5, but what does that mean? 3/
Read 89 tweets
Aug 28
Virus update for Ottawa, Canada (Aug 28, 2024)

COVID-19 #Wastewater levels in #Ottawa are up again with the circulation of a new KP.3.1.1 DeFLuQE variant ( ). Wastewater is still being updated but on a weekly basis now. 🧵1/3 covid.gilchrist.ca/Ottawa.html
Image
New hospitalizations in Ottawa *due* to COVID-19, Flu or RSV are unfortunately increasing again. There were two big spikes over the past month ( ). 2/3 ottawapublichealth.ca/en/reports-res…
Graph of New Hospitalizations in Ottawa *due to* COVID-19, Influenza or RSV. Weekly stats available at ( http://covid.gilchrist.ca/Ottawa.html )
One virus is causing a lot more hospitalizations than the other two over the past year. Even at the lowest point at the end of March 2024, COVID-19 still accounted for more than 40% of hospitalizations between the three viruses and more than 80% for almost half the year. 3/3 Graph of % of New Hospitalizations in Ottawa *due to* COVID-19, Influenza or RSV. Weekly stats available at ( http://covid.gilchrist.ca/Ottawa.html )
Read 4 tweets
Aug 23
#Variant update for #Ontario, #Canada (to Aug 13, 2024)

Today's variant show is brought to you by the letters KP... Looks like KP.3.1.1 has really taken off and separated from the pack at 40% prevalence in Ontario. Graph tools by @Mike_Honey_ 🧵1/ Graph of top 7 COVID variants from PCR test genomic sequencing in Ontario, Canada. Visualization tool was created by @Mike_Honey_ ( https://app.powerbi.com/view?r=eyJrIjoiNzE5YzczODItMDQzMS00M2EzLWFjNWYtMjg3OTY3NTNhZDM3IiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D )
KP.3.1.1 has the #FLuQE mutations and also a key point in the spike protein deleted which gives it much more immune evasion than other variants. 2/
Testing with a recently released monoclonal antibody treatment (pemivibart) found that while it neutralized JN.1 and KP.2 with similar performance... ( ). 3/biorxiv.org/content/10.110…
Read 14 tweets

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