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Communications Biology
Article . 2021 . Peer-reviewed
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Communications Biology
Article
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Communications Biology
Article . 2021
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Article . 2021 . Peer-reviewed
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Spike protein multiorgan tropism suppressed by antibodies targeting SARS-CoV-2

Authors: Molly Brady; Conor McQuaid; Alexander Solorzano; Angelique Johnson; Abigail Combs; Chethana Venkatraman; Akib Rahman; +4 Authors

Spike protein multiorgan tropism suppressed by antibodies targeting SARS-CoV-2

Abstract

AbstractWhile there is SARS-CoV-2 multiorgan tropism in severely infected COVID-19 patients, it’s unclear if this occurs in healthy young individuals. In addition, for antibodies that target the spike protein (SP), it’s unclear if these reduce SARS-CoV-2/SP multiorgan tropism equally. We used fluorescently labeled SP-NIRF to study viral behavior, using an in vivo dynamic imaging system and ex in vivo tissue analysis, in young mice. We found a SP body-wide biodistribution followed by a slow regional elimination, except for the liver, which showed an accumulation. SP uptake was highest for the lungs, and this was followed by kidney, heart and liver, but, unlike the choroid plexus, it was not detected in the brain parenchyma or CSF. Thus, the brain vascular barriers were effective in restricting the entry of SP into brain parenchyma in young healthy mice. While both anti-ACE2 and anti-SP antibodies suppressed SP biodistribution and organ uptake, anti-SP antibody was more effective. By extension, our data support the efficacy of these antibodies on SARS-CoV-2 multiorgan tropism, which could determine COVID-19 organ-specific outcomes.

Keywords

QH301-705.5, SARS-CoV-2, Brain, COVID-19, Antibodies, Viral, Article, Mice, Viral Tropism, Spike Glycoprotein, Coronavirus, Animals, Tissue Distribution, Biology (General), Lung

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
gold