Evidence map›Paper›PMID 40786010›Full record

ArticleVirology & immunology journal2024

The Role of NEU1 in Coronavirus Infection and Pathogenesis.

Y Wu, G Y Chen

Abstract read
In one paragraph

Article in Virology & immunology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Y WuChildren's Foundation Research Institute at Le Bonheur Children's Hospital, Department of Pediatrics, University of Tennessee Health Science Center, USA.
G Y ChenChildren's Foundation Research Institute at Le Bonheur Children's Hospital, Department of Pediatrics, University of Tennessee Health Science Center, USA.

Funding

Targeting Siglec-9/E for therapy of sepsisR01AI137255 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI CHEN, GUOYUN · 2018 to 2022
$1.9M
The molecular mechanism of Siglec-E in bacterial clearanceR01AI179632 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI Guoyun Chen · 2024 to 2026
$1.4M
NIAID NIH HHS R01 AI137255NIAID NIH HHS R01 AI179632
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the coronavirus disease 2019 (COVID-19) pandemic, resulting in millions of infections and deaths worldwide. Although vaccines are available, they appear to be less efficacious against newly emerging variants of the virus. Thus, therapeutic modalities are urgently needed. The coronavirus genome encodes four major structural proteins: the spike (S) protein, nucleocapsid (N) protein, membrane (M) protein, and envelope (E) protein, all of which are required to produce a structurally complete viral particle. N protein is one of the most abundant structural proteins, participates in the regulation of viral replication and virion assembly, and is a major immunogen in coronavirus infection-induced disease. Sialylation is the addition of sialic acids to the terminal glycans of glycoproteins and glycolipids, which act as key components for biological functions of glycoproteins or glycolipids. Sialidases (or neuraminidases) are glycosidases that remove sialic acid residues (desialylation) from glycan portions of glycoproteins or glycolipids. Through desialylation, sialidases modulate the functionality of sialic acid-containing molecules and are involved in both physiological and pathological pathways. This review aims to explore the current understanding of NEU1's involvement in coronavirus infection and pathogenesis, synthesizing available research and identifying areas for future investigation.

Indexed as

COVID-19SARS-CoV-2SialidasesSialylation

Identifiers

PMID40786010
PMCPMC12333695

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.