The new Variant Under Investigation (VUI) was re-designated Variant of Concern (VOC) 202012/01 on 18 December

This is an excellent report by @PHE_UK, but it’s a bit technical so I’ll try to unpick it for you

assets.publishing.service.gov.uk/government/upl…

1/14
The team at @PHE_uk begin by explaining that on 8 Dec they investigated the surge in cases in the South of England. Only 4% (255/6130) of Kent cases had genetic sequence data, but of these 117 genetically similar cases had been collected between 10-18 Nov

2/14
When looking at national data, these 117 cases were part of a larger cluster of 962 (to 8 Dec) in Kent, NE London, plus a few in rest London, Anglia, Essex

3/14
915 or the 962 cases had additional data: 828 were from November, 79 in Oct, 4 from Sept

90% were from <60 years old (further detail not yet available here)

6 patients had already died

4/14
As of 20 Dec, most cases were in London, the SE and East of England.

Of note, 3 of the main testing labs use a PCR test for 3 different viral genes: N, ORF1ab, S.

The new VOC has a mutation that makes this test negative for S (spike), but positive for the others.

5/14
This 'S-gene target failure' (SGTF) proved useful because 97% of pillar 2 (non-hospital) PCR tests negative for S, but positive for N and ORF1, were this VOC. Using this, it was possible to calculate that VOC is more transmissible, adding about 0.5 to the R value

6/14
We can see here, the proportion of SGTFs in positive tests at one Lighthouse lab. Early on, low level SGTFs were seen due to other strains(blue line), then from Nov the new VOC (red line, also called B.1.1.7) rapidly began to dominate the positive tests

7/14
The new VOC is defined by having 23 mutations.

Because of the way genetics works, 6 of these don’t actually change viral proteins (so-called synonymous mutations).

13 change amino acids of a viral protein (see Figure)

4 remove a small piece of a protein

8/14
Because this VOC has acquired an unusually large number of mutations, seemingly in one step, it is speculated that it might have arisen either in 1 person with a weak immune system (next tweet) or even in another animal (as happened with the Danish cluster involving mink)

9/14
For example, recently a patient on immunosuppressive drugs remained infected (with a different variant) for 154 days before dying. During that infection, the virus acquired many new mutations

www-nejm-org.ezp.lib.cam.ac.uk/doi/full/10.10…

10/14
N501Y mutation in the S protein of B.1.1.7 & the deletion 69/70 may account for much of its the transmissibility. N501Y is known to increase binding to ACE2, a protein on our cells the virus uses to gain entry. N501Y appears to allow the virus to infect mice too.

11/14
501 is where neutralising antibodies often act, so it's possible that N501Y might affect such antibodies.

Although N501Y has not yet been tested, other mutations at 501 decrease the effectiveness of LYCoV016, a monoclonal antibody developed to treat COVID19

12/14
There is no information about natural antibodies, which, because of their diversity, target many parts of a virus at once. But, vaccination generates lots of different antibodies, so is less likely to be adversely affected.

13/14
There is much still to understand about this variant, but the speed of progress by @PHE_uk and @CovidGenomicsUK is nothing short of breath-taking.

They deserve our thanks!

14/14

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More from @Prof_Marciniak

19 Dec
The new “Kent” strain of SARS-CoV-2 (officially named VUI 202012/01 for Variant Under Investigation, year 2020, month 12, variant 01) was identified as have multiple spike protein mutations

1/n
These include deletion 69-70, deletion 144-145, N501Y, A570D, D614G, P681H, T716I, S982A, D1118H

2/n

gisaid.org/references/gis…
Structural modelling suggests N501Y (orange in Fig) might affect host receptor and antibody binding

3/n

Credit gisaid.org/references/gis…
Read 28 tweets
19 Dec
Great point

Sensitivity = proportion of actual cases (ppl with a disease) that a test picks up

99% sensitive means 99 out of 100 truly affected ppl will be detected.

1/n
What’s the “gold standard” to determine what is a true case?

It depends on the condition in question, but for a viral RT-PCR a range of concentrations of RNA or virus can be added to a negative sample to help determine the limit of detection

2/n
Specificity = proportion of unaffected ppl that a test correctly identifies as not having the disease

99% specific means 99 out of 100 truly unaffected ppl will be correctly labelled as being negative.

Many known negative samples will be examined to determine this value.

3/n
Read 10 tweets
18 Dec
>35,000 new British cases yesterday

18,510 in hospital

Feeling for my colleagues on the wards this Christmas.
On the bright side

138,541 vaccinated

That’s 0.21% of the UK
But then again
Read 4 tweets
6 Dec
The Background

1860s: nucleic acids discovered
1940-50s: the concept that “DNA makes RNA makes protein” is developed (& is called the central dogma)
1960s: messenger RNA discovered

1/n
Path to the vaccine

1989: use of lipid nanoparticles to get mRNA into cells
1990: RNA injected into muscle can cause local synthesis of a protein
1994-9: RNA vaccines shown to induce immune response
2008-11: early phase trials

2/n
2003-2012: studies to generate a vaccine against 2 new severe coronavirus diseases SARS and MERS identify the spike protein as a good target for protective antibodies

3/n
Read 7 tweets
5 Dec
How science works:

Observations are made.
A hypothesis is generated.
Experiments are performed to test (try to disprove) the hypothesis.
This cycle is repeated many many times until the experiments are unable to disprove the hypothesis.
The results are shared at talks or posters at conferences or as preprints, so others can comment & criticise.
The results are then published as papers (a gruelling process when the paper is assessed by tough anonymous scientists who point out every error, big or small, which must be corrected).
Afterwards, scientists try to reproduce those results to see if they’re real.
Read 6 tweets

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