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 11
*** Ontario Virus & Variant Update | Jan 11 ***

Hospitalizations due to COVID increased from 176 to 241 in the last update. Influenza hospitalizations have start dropping from the peak of 1,400 to 1,095 with RSV increasing from 121 to 156. 🧵1/ Graph of New hospitalizations in Ontario due to COVID, Influenza or RSV.
Looking back over the past few years, new hospitalizations for RSV have remained pretty stable the last two years around 2,500 and a decrease from 2023, while COVID has been significantly dropping each year, 26,571 in 2023 to 15,739 in 2024 to 6,788 in 2025. 2/ Graph of New hospitalizations in Ontario due to COVID, Influenza or RSV, grouped by calendar year.
Influenza has been doing the opposite, increasing significantly each year from 3,486, to 4,380 in 2024, to 12,818 in 2025. 3/
Read 13 tweets
Oct 25, 2025
How does various mask fit compare to filter the air and protect you or others?

Most masks, even baggy blue procedure masks use filtering material that can filter 95%+ of particles that pass through it, but the key is "pass through it". 🧵1/ Bar chart titled “Equivalent Exposure Time to Unmasked Person.” The chart compares how long different masks/respirators extend the equivalent exposure time relative to being unmasked. The x-axis shows unmasked infection times of 1, 5, and 10 minutes. The y-axis shows equivalent masked exposure time, ranging up to 5000 minutes. Seven mask types are represented by colored bars: - Procedure mask (loose fit, FF=2) - Ear loop mask (tight fit, FF=6) - Vertical bifold headband mask (FF=30) - N95 headband masks with fit factors of 100, 200, and 500 Key pattern: higher fit factor masks dramatically ...
Protection mostly depends on how well that mask fits your specific face and one that does not fit well, much of the air you breathe will go around the filter material and filter 0% of those particles. 2/
There has been a chart going around recently that talks about "Time it takes to transmit an infectious dose of COVID-19" which is misleading if you don't understand all of the details of how that table was made and what each component means. 3/
Read 25 tweets
Oct 19, 2025
** Ontario Variant Update (to Oct. 3, 2025) **

The XFG.* "Stratus" family is accounting for 83% while the next closest variant family NB.1.8.1.* "Nimbus" is 12.8% of sequenced genomes from COVID tests. 🧵1/ Line graph showing COVID-19 variant family frequencies in Ontario, Canada, from June to October 2025, based on 3,722 sequenced genomes.
Looking at specific variants, XFG.3 has dropped considerably and its descendent XFG.3.15 now takes first place at 6.2%, followed by XFG.3 at 5.2% and XFG.2 at 4.5%. 2/ Line graph showing specific COVID-19 variant frequencies in Ontario, Canada, from June to October 2025, based on 3,722 sequenced genomes.
It looks like PY.1.1.1 was trying to make a run for the top in mid-September but has decreased significantly. PY.1.1.1 is a descendant of LF.7 while the XFG variant is a recombination of LF.7 and LP.8.1.2 so they would share some mutations in common. 3/
Read 10 tweets
Sep 9, 2025
*** Ontario Variant Update (to: Aug. 16, 2025) ***

Ontario COVID sequence updates have been more frequent over the past month with the XFG.* "Stratus" family of variants now at 74% of sequences, NB.1.8.1.* "Nimbus" at 22% and LP.8.1.* down to 3%. #Variants #XFG #Stratus 🧵1/ Line graph showing COVID-19 variant frequencies in Ontario, Canada, from May to mid August 2025, based on 1,772 sequenced genomes. The XFG.* Stratus variant rises sharply to dominate over 70% by August. Other variants, including FLiRT and LP.8.1.*, decline over the same period, while NB.1.8.1.* Nimbus remains steady around 20% and several minor variants remain at low levels.
Looking at specific variants as of mid August, XFG.5.1 is most prevalent at 13%, NB.1.8.1 in second at 10%, XFG.2 in third at 8.6% and XFG.3 in fourth at 7.4%. 2/ Line graph showing COVID-19 variant frequencies in Ontario from 5 July to 16 August 2025, based on 750 sequenced genomes. Seven variants are tracked: NB.1.8.1, XFG.2, XFG.3, XFG.3.4.1, XFG.3.1, XFG.4.1, and XFG.5.1. Frequencies range from 0% to about 14%, with some variants rising, others falling, and some fluctuating over time. A bar chart below shows the number of samples collected on each date.
LP.8.1 is what this fall's Japan Novavax vaccine and the mRNA vaccines are designed for which is now almost gone and typical of how these things work with vaccine manufacturing timing while Novavax is providing the previous year's JN.1 vaccine formula for the USA again. 3/
Read 18 tweets
Jun 9, 2025
Understanding Canadian Air Quality Health Index (AQHI) & Wildfire Smoke

Wildfire smoke consists of toxic gases and particulate matter (PM) when breathed in gets into our lungs, bloodstream, and even our brain. 🧵1/
#iaq #wildfire #smoke #AQI #AQHI #Canada Bar chart of Canadian Air Quality Health Index (AQHI) - Equivalent # Cigarettes after Exposure ranging from 0.5 cigarettes after 8 hours exposure at AQHI level 3 to 0.9 cigarettes at level 6 and 1.5 at level 10.
Graph of Particulate Matter (PM) Levels in Ottawa from June 6, 2025 to June 8, 2025 from a VisiblAir Model X air quality sensor ( https://visiblair.com/ ).
The web version of this article with nice table of contents and easy to share with others can be found here ( tinyurl.com/AQHIwildfire ) and ( docs.google.com/document/d/1s9… ). 2/ Table of Contents: * Introduction * Air Quality Health Index (AQHI) * Health impact of Wildfire Smoke * Protect Yourself
When smoke stays in the air for prolonged periods of time, the UV radiation from the sun interacts with all the volatile organic compounds (VOCs) to form even more toxic gases ( ). 3/theweathernetwork.com/en/news/weathe…
Read 41 tweets
Jun 6, 2025
Pollution levels in Ottawa are very high from wildfire smoke. The particulate matter (PM)2.5 levels surpassed 140 ug/m^3 Thursday evening and are still above 130 on my VisiblAir Model X outdoor sensor ( ). 🧵1/ #iaq #wildfire #smoke visiblair.comLine graph showing PM2.5 levels in Ottawa increasing above 140 ug/m^3 and still above 130 now
Readings from a VisiblAir Model X outdoor air quality monitor showing levels in Ottawa above 130 ug/m^3 for PM2.5 wildfire smoke pollution
The EPA maps fine particulate pollution to their Air Quality Index where anything above 125.5 PM is Very Unhealthy which is a "Health alert: The risk of health effects is increased for everyone" ( ). 2/airnow.gov/aqi/aqi-basics/
EPA Categories:
* Unhealthy for Sensitive Groups (Orange) = 35.5-55.4 PM ug/m^3
* Unhealthy for everyone (Red) = 55.5 to 125.4 PM ug/m^3
* Very Unhealthy (Purple) = 125.5 to 225.4 PM ug/m^3
* Hazardous (Brown) = 225.5+ PM ug/m^3

3/
Read 13 tweets

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