Evidence map›Paper›PMID 35675020›Full record

ReviewGlycoconjugate journal2022

Sialidase NEU3 and its pathological significance.

Taeko Miyagi, Koji Yamamoto

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Glycoconjugate journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

19 citing papers in PubMed, 23 citations in OpenAlex.

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  18. Inhibitors of the Sialidase NEU3 as Potential Therapeutics for Fibrosis.International journal of molecular sciences · 2022
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Taeko MiyagiDivision of Cancer Chemotherapy, Miyagi Cancer Center Research Institute, Natori, Japan. miyagi-ta@nifty.com.
Koji YamamotoFaculty of Health and Medical Care, Saitama Medical University, Moroyama, Saitama, Japan.
Miyagi Prefectural Hospital Organization · JPSaitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sialidases (EC 3.2.1.18, also called neuraminidases) catalyze the removal of α-glycosidically linked sialic acid residues from glycoproteins and glycolipids; this is the initial step in the degradation of these glycoconjugates. Sialidases of mammalian origin have been implicated in not only lysosomal catabolism but also the modulation of functional molecules involved in many biological processes. To date, four types of mammalian sialidases have been cloned and designated as Neu1, Neu2, Neu3 and Neu4. These sialidases differ in their subcellular localization and enzymatic properties, as well as their chromosomal localization, and they are expressed in a tissue-specific manner. Among the sialidases, the plasma membrane-associated sialidase Neu3 appears to play particular roles in controlling transmembrane signaling through the modulation of gangliosides, and its aberrant expression is closely related to various pathogeneses, including that of cancer. Interestingly, the human orthologue NEU3 acts in two ways, catalytic hydrolysis of gangliosides and protein interactions with other signaling molecules. Aberrant NEU3 expression can induce various pathological conditions. This review briefly summarizes recent studies, focusing on the involvement of NEU3 in various pathological phenomena.

Indexed as

NeoplasmsNeuraminidaseCell MembraneGangliosidesHumansN-Acetylneuraminic AcidGangliosidesN-Acetylneuraminic AcidNeu3 protein, humanNeuraminidasecancerGangliosidesHepatic steatosisPulmonary fibrosisSialidaseTransmembrane signaling

Identifiers

PMID35675020
OpenAlexW4281631115

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.