Evidence map›Paper›PMID 35920997›Full record

ReviewGlycoconjugate journal2022

Linking glycosphingolipids to Alzheimer's amyloid-ß: extracellular vesicles and functional plant materials.

Kohei Yuyama, Yasuyuki Igarashi

Abstract 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. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kohei YuyamaLipid Biofunction Section, Faculty of Advanced Life Science, Hokkaido University, Kita-21, Nishi-11, Kita-ku, Sapporo, 001-0021, Japan.
Yasuyuki IgarashiLipid Biofunction Section, Faculty of Advanced Life Science, Hokkaido University, Kita-21, Nishi-11, Kita-ku, Sapporo, 001-0021, Japan. yigarash@pharm.hokudai.ac.jp.ORCID 0000-0001-7054-1097
Hokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosphingolipids (GSLs) are a specialized class of membrane lipids composed of a ceramide and a carbohydrate head group. GSLs are localized in cell membranes and were recently found to be enriched in the membrane of neuron-derived exosomes, which are a type of extracellular vesicle. Our studies demonstrated that exosomal GSLs may be associated with the amyloid-ß (Aß) peptide, a principal agent of Alzheimer's disease (AD), and act to clear Aß by transporting Aß into brain phagocytic microglia. In this review, we summarize and discuss the function of exosomal GSLs in Aß homeostasis in AD pathology. Improvement in Aß clearance is a potent strategy for AD prevention and therapy. Dietary glucosylceramides (GlcCer) isolated from plants are absorbed into the body as various metabolites, including ceramides. Our recent work demonstrated that dietary GlcCer accelerates neuronal exosome production, which facilitates Aß clearance in mice. Furthermore, studies of AD model mice and human clinical trials have found that oral administration of plant-type GlcCer attenuates the Aß burden in the brain. We also introduce the development of plant-type GlcCer as functional food materials to prevent AD.

Indexed as

Alzheimer DiseaseExtracellular VesiclesAmyloidAmyloid beta-PeptidesAnimalsCeramidesGlucosylceramidesGlycosphingolipidsHumansMiceAmyloidAmyloid beta-PeptidesCeramidesGlucosylceramidesGlycosphingolipidsAlzheimer’s diseaseAmyloid-ßExtracellular vesiclesGangliosidePlant-type glucosylceramide

Identifiers

PMID35920997
OpenAlexW4289516909

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.