Thread on why mRNA vaccines may be giving better immunity vs. SARS-CoV-2 than surviving natural infection.

disclaimer: we still don't understand the long-term correctness of the claim that vaccines are better protection than natural infection.

TL;DR: it's different kind of vax
In this thread I will offer some speculation as to why it's scientifically plausible that the vaccines offer better protection than surviving natural infection.

This is what it is, speculation.

As I said in the parent tweet, it remains to be seen how true this phenomenon is.
cont'd

But if it is true, I don't think it defies logic. And here I will explain why.
The virus is like a beach ball with spikes attached.

The immune system builds antibodies that bind to the virus. In theory, any part of the virus, but in practice the immune binding target for viruses like this is usually the spike protein, and not just any part of the spike...
cont'd

... but the dominant epitope.

So the whole virus presents itself to the immune system, but the spike protein dominant epitope is to what we make antibodies. And it works. Antibodies bind the spike protein and neutralize the virus. ...
cont'd

The problem is that the dominant epitope may evolve and then the old antibodies don't bind as well... and immunity is imperfect.

Why doesn't immune system make antibodies to different parts of the spike protein, that might evolve less rapidly than the dominant epitope?
cont'd

Well, there are a lot of mysteries of immune system. But remember that with wild virus, immune system is seeing the whole "beach ball". The base of spike protein is attached to virus membrane, which is therefore subject to all sorts of electrostatic forces and so on.
cont'd

These electrostatic forces, which are greatly a function of the conformational geometry and chemistry of the virus, probably play a role in steering the immune response to the dominant epitope. This is all in the case of natural infection...
cont'd

Well with the mRNA vaccines, it's different. The vaccine prompts our cells to manufacture copies of the viral spike protein, which our immune system then sees.

But now it's seeing spike protein alone, not attached to the beach ball. So the electrostatics are different.
cont'd

So the dominant epitope of the spike protein as presented to the immune system may be different for the vaccine than for natural infection. And in fact it's possible that immune system is creating antibodies to multiple sites on the spike protein, in response to mRNAvax.
cont'd

So then when presented (post- mRNAvax) with SARS-CoV-2, the immune system potentially has a catalog of MULTIPLE antibody target sites on the spike protein, not just for the dominant epitope in its prior phenotype.
cont'd

Since not all of these would-be binding sites on the spike protein are likely to have evolved, the immune system has a greater chance, with its larger catalog of candidate antibodies.

If the antibody is already there, it would seem, electrostatics be damned. It binds...
cont'd

... and neutralizes.

Yes, without vaccine, immune system would tend to make antibodies to spike protein dominant epitope, but post-vax, it now has a bunch of binding antibodies that would never have been available if it had not already seen spike protein in isolation.
cont'd

Is this exactly why vaccination gives better protection in this case, vs surviving infection?

Well we don't even know if this is true in long run, so it could be an explanation for a non-existent phenomenon.

I'm just trying to say, if true: it doesn't defy all logic.
Thank you for reading my thread on covid vaccination, and why it might (might!) be working better than surviving natural infection.

Alas, I can't offer you a Krispy Kreme.

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More from @AndrewNoymer

28 Mar
Regional covid epidemiology in the US of A.

A short 🧵.

Living in California, I have been increasingly optimisitc of late. Pic related.

But...
... continued

But, New York and New Jersey, OTOH, are giving me the heeby jeebies...

... my thinking *before* this pandemic was that the next pandemic would see rapid spread, leading to regions being in phase with one another. Ex., there has not been a ground-stop of aviation.
continued...

And it's not just the northeast. Here's Michigan:

Clearly, the US of A remains a country with epidemics, plural, playing out at least with different timing in different regions.

continues...
Read 6 tweets
28 Mar
CALIFORNIA UPDATE.

Counties.

Covid deaths per million residents; minimum 100 covid deaths:

Imperial 3,916
Los Angeles 2,284
San Bernardino 1,815
Stanislaus 1,804
Tulare 1,745
Riverside 1,733
San Joaquin 1,661
Fresno 1,610
Kings 1,592
Merced 1,580

continues...
California counties, covid deaths per million population

continued:

Orange 1,479
Madera 1,465
Kern 1,350
Ventura 1,139
Shasta 1,122
Sutter 1,074
San Diego 1,059
Sacramento 1,038
Santa Clara 998
Santa Barbara 983

continues...
California counties, covid deaths per million population

continued:

San Luis Obispo 898
Yolo 889
Marin 851
Alameda 837
Butte 826
Monterey 781
Santa Cruz 733
San Mateo 711
Placer 669
Contra Costa 662
Sonoma 620
El Dorado 561
San Francisco 534
Solano 428.
Read 4 tweets
10 Feb
CALIFORNIA. Update.

Counties. Covid-19 deaths per M population (minimum 100 deaths):

Imperial 3,151
Los Angeles 1,817
Stanislaus 1,590
Tulare 1,419
Riverside 1,393
Merced 1,336
Fresno 1,265
San Joaquin 1,234
Madera 1,199
Kings 1,169
Orange 1,072

continues...
California. Counties, cont'd

San Bernardino 1,006
Shasta 911
Sacramento 877
San Diego 853
Santa Clara 813
Ventura 803
Santa Barbara 779
Yolo 771
Kern 740
Marin 697
Monterey 668
Butte 640
Alameda 631
San Luis Obispo 627
Santa Cruz 583
San Mateo 581

continues...
California. Counties, cont'd

Sonoma 554
Placer 549
Contra Costa 499
San Francisco 392
Solano 313.

These 32 counties, with at least 100 deaths per county, account for 98% of recorded Covid-19 mortality in the pandemic to date.

Continues...
Read 4 tweets
13 Dec 20
Remember this 👇🏻 chart?

I received request for a breakdown by age groups.

I forget who it was; sorry.

Well, ask and ye shall (sometimes) receive.

*THREAD*: All-cause mortality, weeks 1 thru 35 (early Sept). 2015–20, BY AGE, w/trend-line and 95% prediction interval.
Here is ages 0–24 (L) and 25–44 (R).

Deaths and 95% prediction interval. Input data from @NCHStats.
Here is ages 45–64 (L) and 65–74 (R).

Deaths and 95% prediction interval. Input data from @NCHStats.
Read 5 tweets
19 Oct 20
#minimodel (👇🏻) guesstimate of Covid-19 infection fatality rate is less than 0.3%, which is in the same ballpark as IFR of flu (0.1%, also an estimate).

In this THREAD, I will explain how this fact has been misconstrued/misused to mean Covid-19 pandemic is a nothingburger.
I'm thinking here of crowd jumping up+down "see! the IFR is same as flu!!!".

Covid-19 IFR is indeed around that of flu. I don't say "low", since everything relative. IFRs are in the same ballpark.

But C-19 will kill far more people in the same time period than flu.

continues
We already see Covid-19 has killed 225,000 in USA, far more than flu. Comparing IFRs is not the right move here (and has never been — see the breakdown of the #minimodel).

Despite similar IFRs, C-19 will kill far more people than flu, because it will infect far more.

continues
Read 9 tweets
19 Oct 20
Friends, as you know I've advocated #masks for long time. Certainly longer thn @CDCgov & people at my... place of employment.

Qualitatively, I believe they work. How much they protect is hard to quantify, however.

Today, saw something thought provoking in this vein.

continues:
Anti-masker in inbox wondered what we say in a year, when (in his words/imagination of future), consensus changes against masks.

If can't quantify good masks do, how we know benefit isn't marginal?

Valid question, but #PrecautionaryPrinciple says not to play no-mask roulette.
I was here when they said it was nothing.

~ when... it was no worse than flu.

~ when... it would "only" kill 100,000.

The latest is that "masks won't stop it". It *is* hard to quantify #mask effect — but, I'm sorry but I can't endorse that.

I'm just not that kind of asshole.
Read 4 tweets

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