Evidence map›Paper›PMID 40783452›Full record

ReviewMikrochimica acta2025

Advances in molecularly imprinted polymers for clinical biomarker detection (2021-2025).

Shiying Chen, Jianhua Sun, Yuzhen Li, Aiqi Qiao, Yilin Hou, Lei Jin, Hao Wang

Abstract readReview
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In one paragraph

Review in Mikrochimica acta, 2025. 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.

Shiying Chen *Faculty of Medical Laboratory, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Jianhua Sun *Department of Cardiology, Shidong Hospital affiliated to University of Shanghai for Science and Technology, 999 Shiguang Road, Shanghai, 200438, China.
Yuzhen LiFaculty of Medical Laboratory, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Aiqi QiaoFaculty of Medical Laboratory, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Yilin HouFaculty of Medical Laboratory, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Lei JinFaculty of Medical Laboratory, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China. jin_yeye@163.com.
Hao WangInstitute of Orthopaedic Biomedical and Device Innovation, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. wang_hao@usst.edu.cn.

Funding

Horizontal Project of Fuzhou Water Quality Monitoring Co., Ltd. H-2025-312-012Shanghai Municipal Education Commission's Project on Artificial Intelligence to Promote the Reform of Scientific Research Paradigms and Enable Disciplinary Advancement Z-2024-114-022
6 · The paper itself

Abstract

The growing demand for early and precise disease diagnosis has made biomarker detection a vital component of modern precision medicine. However, conventional detection methods often struggle with cost, scalability, and robustness in complex biological samples. Molecularly imprinted polymers (MIPs), synthetic biorecognition materials that mimic natural molecular recognition mechanisms, have emerged as a transformative solution and gained increasing attention from the scientific community. MIPs are created by forming specific recognition sites within the polymer matrix using target molecules as templates. These sites enable MIPs to recognize the target molecules with high sensitivity and specificity, making them highly promising for applications in biomarker detection. The aim of this review is to comprehensively summarize the latest research on the application of MIPs in clinical diagnostic biomarker assays from 2021 to 2025, with a particular focus on (1) composition and structure of MIPs; (2) preparation methods; and (3) the use of MIPs for biomarker detection. Through an in-depth analysis of these studies, this review endeavors to provide valuable insights and guidance for future medical research and clinical applications involving MIPs.

Indexed as

BiomarkersMolecular ImprintingMolecularly Imprinted PolymersHumansBiomarkersMolecularly Imprinted PolymersBiomarkerClinical detectionMolecularly imprinted polymer

Identifiers

PMID40783452

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.