Evidence map›Paper›PMID 42840019›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Tracking the environmentally responsive intracellular fate and autophagic interactions of mesoporous silica nanoparticles via gap spectral detection.

Yuanyuan Yan, Yanmin Hu, Yuxuan Cheng, Jinli Sun, Xingjie Hu

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. 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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0cells of the map it votes in
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

5 authors.

Yuanyuan Yan *School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanmin Hu *Department of Gerontology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuxuan Cheng *School of Clinical Medicine, Guizhou Medical University, Guiyang, Guizhou, China.
Jinli SunSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xingjie HuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the complex intracellular fate and autophagic mechanisms of environmentally responsive biomaterials is essential for advancing targeted disease therapies. However, monitoring these dynamic interactions in living cells is frequently hindered by the spectral crosstalk of traditional fluorescence microscopy and the requirement for specialized multichannel GaAsP/PMT detector arrays with high digitization depth. Herein, we develop a gap spectral detection method that captures spatial and spectral information across the visible range using a general confocal microscope. By implementing defined interval gaps, this approach eliminates excitation laser interference, enabling high-fidelity, six-color live-cell 2D and 3D imaging. We utilized this method to systematically track the intracellular routing of mesoporous silica nanoparticles (MSNs), which utilize the acidic pH of lysosomes as an environmental trigger for the proton sponge effect. Our analysis revealed that MSNs induced cellular autophagy and dynamically altered the organelle interactome. Notably, following the proton sponge effect, MSNs escaped from lysosomes after 6 h and subsequently increased their co-localization with the Golgi apparatus and endoplasmic reticulum. These findings demonstrate that our gap spectral imaging technique provides an accessible and ultra-multiplexed analytical tool for evaluating the intracellular fate of responsive biomaterials, thereby facilitating the rational design of nanomedicines.

Indexed as

cellular autophagyenvironmentally responsive biomaterialsgap spectral detectionlive-cell imagingmesoporous silica nanoparticles (MSNs)organelle interactome

Identifiers

PMID42840019
PMCPMC13638391

What Socratic holds

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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.