Evidence map›Paper›PMID 41058729›Full record

ArticleSmall science2025

Dynamic Hydrogel-Based Cytomimetic Models for Chemical Information Conduction.

Tian Liu, Fen Li, Junlong Song, Kai Zhang

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Tian LiuSustainable Materials and Chemistry Department of Wood Technology and Wood-based Composites University of Göttingen D-37077 Göttingen Germany.
Fen LiSustainable Materials and Chemistry Department of Wood Technology and Wood-based Composites University of Göttingen D-37077 Göttingen Germany.
Junlong SongJiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources and Joint International Research Lab of Lignocellulosic Functional Materials Nanjing Forestry University Nanjing 210037 China.ORCID https://orcid.org/0000-0002-5271-8140
Kai ZhangSustainable Materials and Chemistry Department of Wood Technology and Wood-based Composites University of Göttingen D-37077 Göttingen Germany.ORCID https://orcid.org/0000-0002-5783-946X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micro- and nanoscale cytomimetic models are widely studied in catalysis, adhesion, compartmentalization, communication systems, and membrane regeneration considering the proximity effect. However, there are few reports of proximity effect on the chemical information communication behavior of large-sized cytomimetic models at ultra-long distances. Herein, cytomimetic models are prepared by encapsulating enzymes glucose oxidase (Gox), catalase (Cat), and horseradish peroxidase (HRP) in millimeter-sized spherical cavity hydrogels via a facile and efficient one-step method. Considering the proximity effect, the biocatalytic efficiency of the cascade reactions between two separated cavity hydrogels as cytomimetic models with corresponding enzymes is less than that carried out inside one cytomimetic model by 30.6%. Using them as two individual closed systems, Closed System I with cascade reactions by Gox and Cat can stabilize 66.7% of dissolved oxygen within 160 min at room temperature. In comparison, 14.5% less of the dissolved oxygen remains in Closed System II with cascade reactions by Gox and HRP within 150 min due to the low ability of cascade reaction to circulate dissolved oxygen. This study highlights a promising new route to design millimeter scale dynamic hydrogel-based cytomimetic models for various events, such as biosensing and controlled delivery.

Indexed as

cascade reactionscavitary hydrogelchemical information communicationcytomimetic models

Identifiers

PMID41058729
PMCPMC12499378

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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.