Evidence map›Paper›PMID 42507199›Full record

ReviewMikrochimica acta2026

Recent advances in nanozyme assisted miRNA biosensing for disease diagnosis.

Mridula Bhadra, Manisha Sachan, Seema Nara

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 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

3 authors.

Mridula BhadraDepartment of Biotechnology, Motilal Nehru National Institute of Technology-Allahabad, Prayagraj, Uttar Pradesh, 211004, India.
Manisha SachanDepartment of Biotechnology, Motilal Nehru National Institute of Technology-Allahabad, Prayagraj, Uttar Pradesh, 211004, India.
Seema NaraDepartment of Biotechnology, Motilal Nehru National Institute of Technology-Allahabad, Prayagraj, Uttar Pradesh, 211004, India. seemanara@mnnit.ac.in.ORCID http://orcid.org/0000-0001-9858-0776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MiRNAs have emerged as key biomarkers for early disease detection and therapeutic monitoring; yet, their ultrasensitive and specific detection confronts challenges due to low expression levels in biological fluids and high sequence homology, therefore it demands innovative sensing strategies. Enzyme mimicking nanostructures or nanozymes, enable manifold signal amplification and ultrasensitive analyte detection. In recent years, nanozymes, mainly oxidases and peroxidases, have been used as signal amplifiers in miRNA sensors due to their detectable catalytic products at low concentrations. Considering the increasing use of nanozymes in miRNA detection, this dedicated review presents the latest advancements in the field of miRNA diagnostics and unravels the contributions of nanozymes in miRNA sensing. This work highlights two major approaches commonly used for miRNA detection in sensors; (i) assisted through nucleic acid amplification, and (ii) amplification-free approaches. It then comprehensively underpins nanozymes as signal amplifier in both aforementioned strategies through diverse sensing modalities such as colorimetry, electrochemical, SERS, and chemiluminescent. It further presents the enhancement of sensitivity through integration of nanozymes with latest technologies like machine learning based approaches, CRISPR-Cas, or towards designing point of care sensors. Lastly, the review explores the challenges in translating nanozyme-derived miRNA sensing platforms to clinical settings.

Indexed as

Biosensing TechniquesMicroRNAsNanostructuresColorimetryElectrochemical TechniquesHumansMicroRNAsBiomarkerBiosensorDiagnosismicroRNANanoparticleNanozyme

Identifiers

What OpenQuestion 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 OpenQuestion graph.