Back

BNT162b2-Elicited Neutralization of Delta Plus, Lambda, and Other Variants

Liu, J.; Liu, Y.; Xia, H.; Zou, J.; Weaver, S.; Swanson, K. A.; Cai, H.; Cutler, M.; Cooper, D.; Muik, A.; Jansen, K. U.; Sahin, U.; Xie, X.; Dormitzer, P. R.; Shi, P.-Y.

2021-09-14 microbiology
10.1101/2021.09.13.460163 bioRxiv
Show abstract

BNT162b2-elicited human sera are known to neutralize the currently dominant Delta SARS-CoV-2 variant. Here, we report the ability of 20 human sera, drawn 2 or 4 weeks after two doses of BNT162b2, to neutralize USA-WA1/2020 SARS-CoV-2 bearing variant spikes from Delta plus (Delta-AY.1, Delta-AY.2), Delta-{Delta}144 (Delta with the Y144 deletion of the Alpha variant), Lambda, and B. 1.1.519 lineage viruses. Geometric mean plaque reduction neutralization titers against Delta-AY.1, Delta-AY.2, and Delta-{Delta}144 viruses are slightly lower than against USA-WA1/2020, but all sera neutralize the variant viruses to titers of [≥]80. Neutralization titers against Lambda and B. 1.1.519 variants and against USA-WA1/2020 are equivalent. The susceptibility of Delta plus, Lambda, and other variants to neutralization by the sera indicates that antigenic change has not led to virus escape from vaccine-elicited neutralizing antibodies and supports ongoing mass immunization with BNT162b2 to control the variants and to minimize the emergence of new variants.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature
○ 645 papers in training set
Top 0.7%
18.6%
Similar papers in this journal
2
Nature Communications
○ 5641 papers in training set
Top 12%
15.2%
Similar papers in this journal
3
Nature Medicine
○ 125 papers in training set
Top 0.1%
13.2%
Similar papers in this journal
4
Nature Microbiology
○ 155 papers in training set
Top 0.4%
6.8%
Similar papers in this journal
50% of probability mass above
5
The Lancet Infectious Diseases
○ 73 papers in training set
Top 0.1%
6.8%
Similar papers in this journal
6
New England Journal of Medicine
● 52 papers in training set
Top 0.1%
4.3%
7
Science Translational Medicine
● 127 papers in training set
Top 0.6%
3.5%
8
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 18%
2.8%
9
eBioMedicine
○ 183 papers in training set
Top 1%
2.7%
10
Cell Reports Medicine
○ 153 papers in training set
Top 1%
2.4%
11
Science
● 477 papers in training set
Top 4%
2.4%
12
Cell
○ 431 papers in training set
Top 7%
1.5%
13
Signal Transduction and Targeted Therapy
○ 30 papers in training set
Top 0.3%
1.3%
14
Cell Reports
○ 1498 papers in training set
Top 22%
1.1%
15
mBio
● 833 papers in training set
Top 9%
1.1%
16
Cell Host & Microbe
126 papers in training set
Top 2%
1.1%
17
Clinical Infectious Diseases
◐ 235 papers in training set
Top 3%
1.0%
18
Science Advances
● 1243 papers in training set
Top 30%
0.8%
19
Emerging Microbes & Infections
○ 74 papers in training set
Top 1%
0.8%
20
Cell Research
○ 51 papers in training set
Top 1%
0.8%
21
PNAS Nexus
◐ 159 papers in training set
Top 5%
0.6%
22
Immunity
○ 67 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.