Marc Johnson Profile picture
Jun 29 12 tweets 3 min read Twitter logo Read on Twitter
How common are chronic SARS-CoV-2 infections?

I think that at least 1 in 1,000 infections lead to long term (>4 month) chronic infection.

This is how I came up with that number.
1/
I’ve mentioned before, the mutation Orf1a:K1795Q appears very frequently in very advanced chronic infections and cryptic lineages.

I’ve tried to use the frequency of this mutation to make estimates of how frequent chronic infections are.
2/

How frequent is K1795 in chronic Delta infections.

Delta mostly disappeared in Jan, 2022, so by April, the Delta infections were pretty much all chronic.

K1795Q was in less than 0.01% of all Delta sequences, but was present in almost 4% of the sequences after April, 2022.
3/
What about BA.1? BA.1 was dominant from Dec, 2021-March, 2022.

By July the infections were pretty much gone other than chronic infections.

The frequency of K1795Q in BA.1 went from <0.01% overall, to over 5% from samples collected after July 2022.
4/
Caveat, some of this data is imperfect. At least some of the samples just had the wrong date entered, and at least some of the chronic cases represent patients that were sampled multiple times.

It is not trivial trying to sort this out.
5/
I also asked @LongDesertTrain (who tracks all chronic sequences) to give me a list of his 50 clearest Omicron-derived chronic infections based on their sequence divergence.

Even among these extreme chronic infections (more likely to have it), K1795Q was still only in 18%.
6/
Taken together, I would say that probably about 4-10% of chronic infection sequences contain K1795Q, and K1795Q rarely appears in non-chronic infections.
7/
Here is another way to look at it. If you consider all SC2 sequences deposited in 2023, only 12% was an ‘older’ lineage (not XBB-, BQ-, or BA.2,75-derived).

However, among sequences from 2023 containing K1795Q (excluding BS.1), about 84% were ‘older’.
8/
So how common are chronics?

In the last year there have been 374 sequences (excluding BS.1) containing K1795Q. If we assume that this represents 4-10% of all of the chronic sequences, there would have been around 3,740-9,350 chronic sequences, or 0.1%-0.3% of all sequences.
9/
I know that these calculations aren’t perfect, but I think they get you in the ballpark.
10/
The bigger question for me is whether chronic infections are more or less likely to be tested and sequenced. Could be skewed either way. However, if some people have chronic infections outside of the nasal tract (and I suspect they do), then I know that these are unsampled.
11/
No matter how you slice it, there are still a lot of chronic infections that people are still dealing with. It would be great if we could do more to help these patients.
12/

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More from @SolidEvidence

Jun 24
SARS-CoV-2 chronic infections.

Another deep dive.
1/
For the last 2+ years I’ve been obsessively studying SARS-CoV-2 cryptic lineages, unique and evolutionarily advance viral lineages of unknown source detected through wastewater.
2/
doi.org/10.1371/journa…
We now know that most (and probably all) of these lineages are extreme examples of patients with very long-term infections that became 'super-poopers'. Read this thread if you want to know why we think this.
3/
Read 15 tweets
Jun 17
Ohio lineage update.

One of the challenges when seeking an IRB to get informed consent to test patients in Wisconsin was determining what to we do if we find them?

There is no FDA approved therapy for treating chronic patients.
1/ Image
It is encouraging that there have been a few studies that successfully treated chronically infected immune compromised patients using monoclonal antibodies.
2/
sciencedirect.com/science/articl…
Or monoclonal antibodies in combination with other antivirals.
3/
academic.oup.com/cid/advance-ar…
Read 10 tweets
Jun 16
Someone asked me a really good question this morning. How long does it take for a chronic infection to produce a virus with the genetic features of a chronic infection. (paraphrasing)
1/
With the abundance of patient data, we can perform the equivalent of a 'pulse-chase' experiment.

The best proxy for this is BA.1, a lineage that quickly became world dominant in Dec 2021, and as quickly disappeared in March 2022.
2/ Image
Now, if we use Orf1a:K1795Q as a proxy for a chronic infection. When did we see BA.1 derived sequences with Orf1a:K1795Q?
We mostly saw them between April and September 2022 (average 4 months later), but they continue to pop sporadically (over a year later).
3/ Image
Read 5 tweets
Jun 14
Cryptic lineage breakthrough.

No, we didn’t find out who any of the shedders are.

Stop reading if you don’t want to hear nitty gritty molecular virology details about chronic infections.
1/
If you follow me, you know that I’ve been puzzling for the past 2 years about why there are mutations that appear repeatedly in chronic infections and cryptic lineages that are not in any of the circulating variants.
2/
I’ve pointed out before (it was even in one of our papers) that one of the most common non-Spike mutations is in nsp3. Orf1A:K1795Q (AKA nsp3:K977Q).
3/ Image
Read 16 tweets
Jun 11
Point of consideration with the Ohio cryptic lineage.

Would it be right to track down an infected individual when we don't know if they are even sick?

@LongDesertTrain pointed something out to me that I think bears mention.
There are a number of mutations in the viral genome that frequently appear in chronic infections and cryptics. Among these mutations is Orf3a:H182D

This mutation appears in about half of cryptics lineages including the Ohio and Wisconsin lineages.
If you search the database of all viral sequences from patients you find fewer than 40 bona fide sequences with Orf3a:H182D.

About half of these sequences are clear chronic infections with multiple 'cryptic-like' mutations.

Several were sequenced multiple times.
Read 6 tweets
Jun 8
Ohio cryptic lineage clarification/rant. Image
1. Washington Court House is a town of about 15,000 people. It is not an actual court house. Image
2. There are about 700 people that commute from Franklin county (Columbus) to Fayette county (WCH) and about 900 people that commute the other way. This is not nearly enough information to identify them.
Thanks to the person that pointed out census info.
onthemap.ces.census.gov
Read 16 tweets

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