Evidence mapPaperPMID 41530089Full record

ReviewSe pu = Chinese journal of chromatography2026

[Molecular imprinting strategies and advances targeting biomembranes].

Xue-Ting Yuan, Liang Wang, Lu-Xi Chen, Liang-Hai Hu

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In one paragraph

Review in Se pu = Chinese journal of chromatography, 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

4 authors.

Xue-Ting YuanCenter for Supramolecular Chemical Biology,State Key Laboratory of Supramolecular Structure and Materials,School of Life Sciences,Jilin University,Changchun 130023,China.
Liang WangCenter for Supramolecular Chemical Biology,State Key Laboratory of Supramolecular Structure and Materials,School of Life Sciences,Jilin University,Changchun 130023,China.
Lu-Xi ChenCenter for Supramolecular Chemical Biology,State Key Laboratory of Supramolecular Structure and Materials,School of Life Sciences,Jilin University,Changchun 130023,China.
Liang-Hai HuCenter for Supramolecular Chemical Biology,State Key Laboratory of Supramolecular Structure and Materials,School of Life Sciences,Jilin University,Changchun 130023,China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomembranes are selective barriers and communication interfaces between intracellular and extracellular environments. They are crucial for signal transduction, energy transfer, and material exchange. Composed of lipids, proteins, glycans, and other components, biomembranes are central platforms for cell recognition and communication. Their specific recognition and binding abilities show great potential in early disease diagnosis, targeted drug delivery, environmental monitoring, and more. Molecularly imprinted polymer (MIP) has emerged as a robust tool for recognizing and binding biomolecules on biomembranes. This article summarizes recent technological advancements in MIP for biomembrane-associated lipids, proteins, and glycans. Lipids are a key part of biomembranes, crucial for maintaining membrane fluidity and stability. In lipid imprinting, lipid bilayers serve as templates. Functional monomers interact with lipid molecules and, upon polymerization, form a polymeric shell on the bilayer. Template removal leaves behind complementary binding sites. This strategy has been exploited to fabricate lipid-imprinted nanoparticles for drug delivery. These nanoparticles selectively recognize lipid components on cell membranes, thereby enabling targeted drug delivery. Proteins constitute another critical class of biomembrane components and execute diverse functions. Protein-imprinted MIPs selectively recognize membrane proteins such as cell-surface receptors, bacterial outer-membrane proteins, and viral capsid proteins. This enables precise identification and binding of specific proteins, which is useful in disease diagnosis and drug development. MIP can detect specific membrane protein biomarkers on cancer cells, allowing for early cancer detection and monitoring. Glycans also play a key role in biomembranes, particularly in cell recognition and immune responses. Carbohydrate-imprinted MIPs recognize specific glycan structures for use in disease diagnosis and therapy. Cancer cells have different glycan structures on their membranes compared to normal cells. These abnormal glycans serve as biomarkers for early cancer detection and monitoring. The article also emphasizes the potential of MIP in various applications. In disease diagnosis, MIP can develop biosensors for fast and accurate detection of disease biomarkers, enabling early treatment. In drug delivery, MIP can create targeted systems that deliver drugs directly to diseased cells, minimizing off-target effects and enhancing therapeutic efficacy. In cell imaging, MIP can specifically label cells or biomolecules, providing detailed images of cellular processes and aiding in understanding disease mechanisms. In biosensing, MIP can serve as efficient recognition elements to construct biosensors for detecting specific biomarkers in biological samples. The specific binding sites formed by molecular imprinting technology enable MIP-based biosensors to detect target molecules with high sensitivity and selectivity, providing a powerful tool for early disease diagnosis and real-time monitoring. However, the development of MIP still faces challenges, including complex synthetic procedures, incomplete template removal, limited scalability, and the need for performance optimization. The synthesis process is complex, requiring precise control of parameters like functional monomers, cross-linkers, and initiators. Incomplete template removal compromises binding affinity and selectivity. Scaling-up while maintaining batch-to-batch reproducibility is challenging, and the binding capacity, selectivity, and stability of MIPs must be optimized for each application. For glycan imprinting, monosaccharide templates have low specificity, glycan chain templates are difficult to synthesize and purify, and there is a lack of efficient

Indexed as

Cell MembraneMolecular ImprintingMolecularly Imprinted PolymersDrug Delivery SystemsHumansPolymersPolysaccharidesMolecularly Imprinted PolymersPolymersPolysaccharidesbiomedical applicationsbiomembraneextracellular vesicle (EV)molecularly imprinted polymer (MIP)review

Identifiers

PMID41530089
PMCPMC12801126

What Socratic holds

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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.