Jeff Gilchrist Profile picture
Jan 10, 2024 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

Jan 20
Similar to #Canada, babies in the #UK are at higher risk for #hospitalization and #ICU admission from #COVID. Their data looks deeper at infants < 6 months old which have higher ER attendance, hospital admission and severe hospitalisation rates than the oldest adults 90+! 🧵1/
That data from the UK was taken from this pre-print study ( ). 2/medrxiv.org/content/10.110…
In Canada, babies < 1 years old had the highest ICU admission rates of all age groups from Aug. 27, 2023 to Aug. 24, 2024. Read on to see more details including Flu and RSV too ( ). 3/
Read 7 tweets
Jan 19
The @elastomaskpro () is a NIOSH approved reusable N95 elastomeric respirator. It is made of silicone so a higher chance it will fit and seal well and is super breathable at the same time. Read on to find out more about my experience with it. 🧵1/ elastomaskpro.comA blue respirator mask, called ElastoMaskPro, rests on top of a blue and white box. The mask has a smooth, curved design with two circular filters on each side. The mask's straps are neatly arranged.
A light blue ElastoMaskPro N95 reusable respirator mask with a soft, flexible facepiece rests on top of its packaging box. The mask features a large opening in the center, showcasing white pleated filters. Two elastic straps are attached to the mask for securing it to the face.
Full disclosure: ElastoMaskPro sent me a unit to evaluate. There were no strings attached, they just asked that I provided feedback after I tried it. This thread is the first time they are seeing my feedback, they did not review anything before it being posted here. 2/
The ElastoMaskPro is very cost effective at the current sale price of $29.99 which includes two N95 filtering pucks. You can continue using the filters until they either get too dirty or there is increased breathing resistance. 3/ ElastoMaskPro Filter Puck. Filter Pucks are constructed using an adhesive-free process that incorporates a large volume of long-lasting, highly durable mechanical filtration media.
Read 43 tweets
Jan 6
#Ottawa, #Ontario, #Canada Virus Update:

Ottawa updated its #respiratory #virus data again after a break for the holidays, respiratory related ED visits are up especially in kids 0-3, then 4-11 and age 80+. 🧵1/ A line graph showing the number of respiratory-related emergency department (ED) visits per 100,000 population by week, from September 1, 2023, to November 1, 2024, across different age groups. Six lines represent the age groups: Age 0-3 (purple), Age 4-11 (blue), Age 12-17 (green), Age 18-54 (yellow), Age 55-79 (red), and Age 80+ (orange). The Age 0-3 group shows the highest number of visits, peaking around 1000 visits per 100,000 population, while other age groups generally have rates below 250 visits per 100,000 population. The graph exhibits seasonal fluctuations, with peaks in the wint...
Quite a mixture of different viruses testing positive in the lab right now so people can pick up a variety of bugs in the air. 2/ A stacked area chart displaying the percentage of positive tests for various viruses over time, from October 1, 2022, to December 22, 2024. The x-axis represents weeks within this period, while the y-axis represents the percentage, cumulatively stacked to 100%. The chart features the following viruses, each depicted in a distinct color: COVID-19 (red), Entero/Rhinovirus (yellow), Seasonal human coronavirus (blue), RSV (green), Parainfluenza (purple), Influenza B (light blue), Influenza A (light green), Human metapneumovirus (pink), and Adenovirus (dark blue). COVID-19 maintains a high posit...
New hospitalizations also jumped a lot in the last two reporting weeks, not just due to #RSV but a big spike in #COVID as well.

Follow the latest updates here ( ). 3/ covid.gilchrist.ca/Ottawa.htmlThe bar chart shows the number of new hospitalizations per week in Ottawa from August 27, 2023, to December 22, 2024. The y-axis represents the number of patients, ranging from 0 to 100. The x-axis represents the weeks. The bars are color-coded: blue for COVID-19, purple for Influenza, and teal for RSV. The chart shows fluctuations in hospitalizations, with peaks around late 2023 and early 2024, and another peak towards the end of 2024.
A line graph displaying the percentage of patients hospitalized due to COVID-19, Influenza, or RSV over time, from September 1, 2023, to December 22, 2024. The x-axis represents weeks within this period, and the y-axis shows percentages from 0% to 100%. The graph has three colored lines: blue for COVID-19, purple for Influenza, and teal for RSV. COVID-19 consistently shows the highest percentage of hospitalizations, with fluctuations throughout the period.
Read 4 tweets
Dec 24, 2024
#Variant update for #Ontario, #Canada (to Dec 10, 2024)

The KP.3.1.1 #DeFLuQE variant has finally been surpassed with XEC now in top place above 20% while the other 5 (MC.* and XEC.* descendants) remain < 7%. Graph tools by @Mike_Honey_ 🧵1/ A line graph showing the lineage frequency of the top 7 COVID-19 genomes in Ontario, Canada, up to December 10, 2024. The graph includes data from 4,928 sequenced genomes. The x-axis represents dates from October 27 to December 08, while the y-axis represents lineage frequency percentages from 0% to 35%. Different colored lines represent different genome lineages: KP.3.1.1 (blue), MC.1 (green), MC.13 (purple), MC.16 (pink), MC.24 (orange), XEC (brown), and XEC.8 (yellow). Below the main graph, there is a bar chart showing the number of samples (n) collected each day, ranging from 0 to 200 s...
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 October 27, 2024. You can follow the lineage backwards to see where a variant is a descendant from. 3/ The Sankey diagram visually displays the evolution and distribution of sequenced genomes in Ontario, Canada, up to December 10, 2024. The diagram uses colored bars and curved lines to show the flow and relationships between different genome variants over time. Each variant is labeled, such as "XEC," "BA.2," "BA.2.86," "JN.1," "KP.3," and various sub-variants. These bars and lines illustrate the transitions and derivations from one variant to another. The total number of sequenced genomes depicted is 4,928. This visualization helps to underst...
Read 16 tweets
Dec 22, 2024
Population rate vs raw numbers

This is a good example of why it is useful to understand the importance of population *rate* and not just look at raw numbers. The first graph shows raw numbers and the second graph population rate. 🧵1/ #ED #Respiratory #Virus #Population #Ottawa Chart of Respiratory Related ED Visits by Week and Age (Ottawa, ON, Canada) with raw numbers
Chart of Respiratory Related ED Visits by Week and Age (Ottawa, ON, Canada) with population rate per 100K
Ottawa Public Health makes only the raw data available for All causes and respiratory-related emergency department visits to Ottawa hospitals by age group and week ( ). 2/open.ottawa.ca/datasets/ottaw…
If I take the data and plot all the ages together, you can at least see all of the age groups at the same time but it is just the raw numbers. 3/
Read 12 tweets
Dec 17, 2024
This is amazing, not only a lower cost CPC for measuring mask fit and ultrafine particles in a room, but also a new probe to measure fit of a respirator without destroying it, check out the video from @OpenAeros and @masknerd to see how it works ( ). 🧵1/ Woman wearing N95 head band respirator inserting new probe design in side of respirator so you don't have to puncture the front, the new OpenAeros OpenCPC machine operating on the table showing the ultrafine particle levels and Aaron Collins (@masknerd) holding the new blue probe against his face to show what it looks like.
@masknerd also demonstrates how you can use OpenCPC to measure how well an air cleaner is filtering particles when you insert the probe into the output vent where particles dropped to 6.4/cm^3 from the regular 700-800/cm^3 for the room. 2/ Aaron Collins (@masknerd) holding the OpenCPC probe inside the fins of a portable air cleaner to measure particle concentration showing it has dropped significantly.
When Aaron Collins moves the probe to a couple of feet in front of the portable air cleaner, levels go back up to 785/cm^3 which is the same as the room concentration indicating this type is filtering the air but doesn't create a "clean bubble" in front of it. 3/ Aaron Collins (@masknerd) holding the OpenCPC probe a couple of feet in front of a portable air cleaner to measure particle concentration, showing it has gone back up to room concentrations.
Read 6 tweets

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