Modular Molecular Design and Self-Assembled Nanostructures of Saccharide‑Appended Cyclic Dipeptides for Glycosidase‑Responsive Supramolecular Hydrogels.

Shintaro Sugiura, Ryuta Tanaka, Sayuri L Higashi, Aya Shibata, Koichiro M Hirosawa, Kenichi G N Suzuki, Masato Ikeda

Abstract read

In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. 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

7 authors.

Shintaro SugiuraUnited Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, Gifu, Japan.

Ryuta TanakaDepartment of Life Science and Chemistry, Graduate School of Natural Science and Technology, Gifu University, Gifu, Japan.

Sayuri L HigashiUnited Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, Gifu, Japan.ORCID https://orcid.org/0000-0001-8488-4808

Aya ShibataDepartment of Life Science and Chemistry, Graduate School of Natural Science and Technology, Gifu University, Gifu, Japan.ORCID https://orcid.org/0000-0002-9295-9117

Koichiro M HirosawaInstitute For Glyco-core Research (iGCORE), Gifu University, Gifu, Japan.ORCID https://orcid.org/0000-0003-0170-3755

Kenichi G N SuzukiInstitute For Glyco-core Research (iGCORE), Gifu University, Gifu, Japan.ORCID https://orcid.org/0000-0002-8436-5757

Masato IkedaUnited Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, Gifu, Japan.ORCID https://orcid.org/0000-0003-4097-8292

Funding

Japan Society for the Promotion of Science 23H01815

6 · The paper itself

Abstract

Glycosidase-responsive supramolecular hydrogels represent a promising class of soft materials for biomedical applications, as glycosidases play pivotal roles in various physiological processes and viral infections. In this study, saccharide-appended cyclic dipeptides are designed as modular building blocks for the construction of supramolecular hydrogel systems through aqueous self-assembly. Notably, β-galactosidase-responsive gel-to-sol and neuraminidase (sialidase)-responsive sol-to-gel transitions are achieved by employing cyclic dipeptides appended with galactose and N-acetylneuraminic acid, respectively, under appropriate formulations.

Indexed as

DipeptidesGlycoside HydrolasesHydrogelsNanostructuresbeta-GalactosidaseNeuraminidasebeta-GalactosidaseDipeptidesGlycoside HydrolasesHydrogelsNeuraminidasecyclic dipeptideglycosidasenanostructuresself‐assemblysoft materialssupramolecular hydrogel

Identifiers

PMID42233212

DOI10.1002/smll.73943

PMCPMC13360816

What Socratic holds

Textmetadata

LicenceCC BY-NC

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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 Socratic graph.