Marc Johnson Profile picture
Nov 1, 2022 7 tweets 2 min read Read on X
For those of you that have asked me why I am convinced that cryptic lineages are coming from people, I can finally point to a pre-print with @dho and many fantastic collaborators in the UWisc and Wisc Public Health.
medrxiv.org/cgi/content/sh…
It's pretty straightforward. We started with a sewershed that produces enough wastewater to fill about 30 olympic swimming pools a day. We sampled about a quarter cup.

But something didn't smell right.

It had a cryptic lineage, a SARS-CoV-2 RNA that was completely unknown. Image
For the next several months my collaborators continued to take sub-samples from throughout the sewershed and sent them to me to figure out which one 'didn't smell right'.

With each round of sampling we further narrowed the source of the cryptic lineage. Image
We finally narrowed the source to a single manhole, and then to a single set of bathrooms.

The sample from that bathroom contained by far the most SARS-CoV-2 RNA I had ever seen from a wastewater sample. We could have diluted it a million-fold and still detected the lineage.
This bathroom was not used by any rats or white tailed deer. The signal was coming from a person.

We also learned from this 'homogeneous sample' about the complete viral sequence. It was from a lineage that circulated over a year ago.

The person has been infected a long time.
We still don't know which person is the source (most were tested by nasal swabs and were negative), and more importantly, we don't know why the lineage is not spreading.

We suspect that the source is a long-term COVID infection of someone's GI tract.
There are still a lot of questions that need to be answered, but we have at least started to figure out what the right questions are.

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More from @SolidEvidence

Apr 12
Last month there was an announcement that I thought was a major advancement in world health, but it got little attention.
I thought I would tell you all a little bit about it and why it is so important.
1/25
This breakthrough has to do with HIV, which was a zoonotic pathogen. The progenitor of HIV infects chimpanzees in Cameroon.

No one knows exactly when or how HIV crossed into humans, but the first undisputed HIV patient sample (discovered retrospectively) was from 1959 in what is now the Democratic Republic of Congo.Image
HIV smoldered for decades before becoming widespread in the early 80s.
At the time, being diagnosed with an HIV infection was a death sentence.
There was no real cure (still isn’t) and no treatment. By any measure, HIV was one of the worst diseases of the last century.
3/
nature.com/articles/d4158…Image
Read 25 tweets
Apr 6
I briefly thought the SA BA.3.2 was in the US, but it turns out the virus was just messing with me again.

This was kind of interesting though.
1/
We've been screening all of the new wastewater data a few times a week for signs of BA.3.2.

One of the many screens we have is looking for reads that have C21846T+T21864C together, which are in BA.3.2 but no current lineages (it works better to look for pairs of changes).

2/
This week we had a hit. This was the genotype of the read:

C21621A|(S:T20N) A21626G|(S:T22A) T21657C|(S:F32S) T21695C|(S:S45P) A21712T|(S:S50S) CATGCTAT21758-21765del C21767-21767del C21846T|(S:T95I) T21864C|(SI101T) TTA21890-21892del|

3/
Read 9 tweets
Mar 17
Here is this week's analysis. One mutation popped out as increasing in frequency in the last data set.

S:G842S

Wonder what that is from.

1/ Image
Not a very common mutation. Mostly associated with with XEC.11*
2/
cov-spectrum.org/explore/United…Image
If that's really from XEC.11*, then we should see other mutations from that lineage increasing.

So I looked up the mutations that differentiate XEC.11 from XEC:

Orf1a:V2090F
S:K182N
SV1264L
Orf3a:L85F

3/ Image
Read 8 tweets
Mar 17
I’m very pleased to announce the launch of our LungFish Data Explorer dashboard for tracking SARS-Cov-2 lineages from wastewater.

1/
inkfishmedical.github.io/wastewater-das…
Here’s the problem we hope this dashboard will help solve.  SARS-CoV-2 remains very prevalent in the US.

However, sequence surveillance from patients has plummeted. In addition to fewer samples, the average sequence takes >3 weeks to be reported (and it’s getting slower).

2/ Image
Fortunately, we have wastewater surveillance (primarily through CDC NWSS), which covers a large chunk of the population and has a fairly fast turnaround (<2 weeks).

3/ Image
Read 16 tweets
Mar 1
So what's happening with medical research in the US? This is the cumulative award count from the NIH for the year.

Doesn't look so good.

But it gets worse.
1/ Image
Before grants are awarded, they have to be evaluated in meetings called study sections.

Before a study section can meet, it has to be listed in the federal registry for at least 15 days.

These are the new study section meetings listed in the federal registry this year.
2/ Image
Meetings can't even be scheduled, none of the committed funds are going out.

About 300,000 scientists are wondering if they are going to keep their jobs, and the most vulnerable are the students and postdocs.
3/
Read 4 tweets
Feb 28
There something new on the SARS-CoV-2 landscape, and I’m not sure what it is.
1/ Image
S:S31F and S:K182N are on the rise.

The two aren’t on the same sequencing strand, but I confirmed that they are generally appearing together in the same samples.

2/
The samples are from across the country (CA, WY, LA, CT, PA, WI, etc) and more than one sequencing group, so it’s probably not a sequencing error.

3/
Read 5 tweets

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