Evidence map›Paper›PMID 40770231›Full record

ReviewJournal of human genetics2025

Novel glycan-related biomarker discovery by total glycomic and focused protein glycomic analyses.

Hisatoshi Hanamatsu, Goki Suda, Masatsugu Ohara, Masaki Kurogochi, Naoya Sakamoto, Jun-Ichi Furukawa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Hisatoshi HanamatsuInstitute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan.
Goki SudaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Masatsugu OharaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Masaki KurogochiInstitute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan.
Naoya SakamotoDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Jun-Ichi FurukawaInstitute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan. furukawa.junichi.n0@f.mail.nagoya-u.ac.jp.

Funding

Japan Agency for Medical Research and Development (AMED) JP25ek0109815Japan Agency for Medical Research and Development (AMED) JP25fk0210126MEXT | Japan Society for the Promotion of Science (JSPS) 22H03502
6 · The paper itself

Abstract

The cell surface is covered with a variety of glycan subtypes (sub-glycans) such as N-glycans, O-glycans, glycosphingolipid-glycans, and glycosaminoglycans, which are collectively called the glycocalyx. The expression patterns of sub-glycans change in response to various biological events during disease pathogenesis; however, the structures of all major sub-glycans and their relative concentrations in a cell have been hardly reported. Total glycomic analysis, which comprehensively measures all major sub-glycans, is a powerful tool to discover cellular and clinical biomarkers. In this review, we provide an overview of the analytical methods for sub-glycans and the total glycome in cultured cell lines, human serum, mouse brain tissue, and human osteoarthritis cartilage. This approach not only facilitates characterization of cells, but also has applications for hierarchical clustering analysis, glycan-related biomarker discovery, and investigation of the relationship between sub-glycans and gene expression levels using the total glycome. Moreover, we discuss our recent research focused on identifying potential biomarkers of nonalcoholic fatty liver disease. These glycomic technologies are expected to contribute to diagnostics and drug development for rare diseases in the future.

Identifiers

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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.