Evidence map›Paper›PMID 42130476›Full record

ArticleAnalytical chemistry2026

Diagnosis of Endometriosis: Dual-Amplification Strategy Driven by Copper Nanoclusters.

Yu-Ling Wu, Hsu-Ching Yen, Pao-Ling Torng, Ja-An Annie Ho

Abstract read
In one paragraph

Article in Analytical chemistry, 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.

Yu-Ling WuBioAnalytical Chemistry and Nanobiomedicine Laboratory, Department of Biochemical Science and Technology, National Taiwan University, Taipei 106319, Taiwan.
Hsu-Ching YenBioAnalytical Chemistry and Nanobiomedicine Laboratory, Department of Biochemical Science and Technology, National Taiwan University, Taipei 106319, Taiwan.
Pao-Ling TorngDepartment of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100217, Taiwan.
Ja-An Annie HoBioAnalytical Chemistry and Nanobiomedicine Laboratory, Department of Biochemical Science and Technology, National Taiwan University, Taipei 106319, Taiwan.ORCID 0000-0001-6684-1118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometriosis is a prevalent gynecologic disorder associated with infertility and increased cancer risk, necessitating the development of sensitive and reliable diagnostic methods. Circulating microRNAs (miRNAs) have emerged as promising noninvasive biomarkers for early disease detection. However, low abundance and sequence similarity among miRNA family members hinder accurate detection. Herein, we first conducted differential expression analysis of publicly available miRNA-sequencing data sets to identify potential diagnostic biomarkers for endometriosis, from which miR-199a-5p was selected as a representative target. Building on this selection, we subsequently developed a highly sensitive and specific fluorescent biosensing platform for miR-199a-5p detection by integrating poly(thymine) (polyT) DNA-templated copper nanoclusters (CuNCs) with a dual isothermal amplification strategy. The biosensing system utilizes a 3'-phosphorylated, biotinylated hairpin DNA probe immobilized on streptavidin-coated magnetic beads. Upon hybridization with the target miR-199a-5p, duplex-specific nuclease (DSN) mediates selective cleavage, enabling target recycling and simultaneously generating a 3'-hydroxyl terminus. This newly exposed terminus subsequently serves as a primer for terminal deoxynucleotidyl transferase (TdT)-catalyzed polyT elongation. The resulting polyT sequence functions as an effective scaffold for the

Indexed as

Biosensing TechniquesCopperEndometriosisMetal NanoparticlesMicroRNAsNucleic Acid Amplification TechniquesFemaleHumansCopperMicroRNAs

Identifiers

PMID42130476
PMCPMC13217368

What Socratic holds

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LicenceCC BY
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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.