Evidence map›Paper›PMID 42630778›Full record

ArticleACS measurement science au2026

A Hyperbranched Rolling Circle Amplification Assay Using Aptamer-Hemin/G-Quadruplex Recognition for the Detection of Creatine Kinase-MB.

Ensiyeh Mirsadoughi, Sayantan Tripathy, Fatemeh Zare, Gerard L Cote, Samuel Mabbott

Abstract read
In one paragraph

Article in ACS measurement science au, 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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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.

Ensiyeh MirsadoughiDepartment of Biomedical Engineering, Texas A&M University, 101 Bizzell Street, College Station, Texas 77843, United States.
Sayantan TripathyDepartment of Biomedical Engineering, Texas A&M University, 101 Bizzell Street, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-9536-5947
Fatemeh ZareCenter for Remote Health Technologies & Systems, Texas A&M Engineering Experiment Station, 600 Discovery Drive, College Station, Texas 77840-3006, United States.ORCID https://orcid.org/0009-0000-0101-6854
Gerard L CoteDepartment of Biomedical Engineering, Texas A&M University, 101 Bizzell Street, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-3164-9625
Samuel MabbottDepartment of Biomedical Engineering, Texas A&M University, 101 Bizzell Street, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0003-4926-5467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creatine kinase-myocardial band (CK-MB) remains an important biomarker for the early diagnosis and clinical management of myocardial infarction. Here, we report a sensitive colorimetric assay for CK-MB based on a conformation-locked aptamer guanine-quadruplex (G-quadruplex) system integrated with magnetic nanoparticle capture and hyperbranched rolling circle amplification (HRCA). Target binding induces conformational unlocking of the aptamer, initiating HRCA-mediated signal amplification and generating a concentration-dependent colorimetric response in the presence of a chromogenic substrate. A compact 3D-printed imaging module, combined with a Python-based processing pipeline, was used to extract grayscale intensity values from assay images for quantitative analysis. Using only 25 μL of sample, the assay achieved limits of detection (LOD) of 0.268 ng/mL in aqueous samples and 0.328 ng/mL in blood-spiked samples, and limits of quantification (LOQ) of 0.89 ng/mL and 1.09 ng/mL, respectively, with a linear dynamic range of 0.5-100 ng/mL. Grayscale intensity was inversely proportional to CK-MB concentration, enabling quantitative detection across clinically relevant levels. The HRCA amplification process and target-induced activation were further validated by TapeStation gel electrophoresis, confirming the formation of amplified DNA nanostructures. This platform provides a low-volume, amplification-based strategy for CK-MB detection that is compatible with simple optical readout and has strong potential for point-of-care applications.

Indexed as

aptamerCK-MBcolorimetricHRCAmyocardial infarction

Identifiers

PMID42630778
PMCPMC13495452

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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.