Evidence map›Paper›PMID 36968075›Full record

ArticleiScience2023

Trigging stepwise-strand displacement amplification lights up numerous G-quadruplex for colorimetric signaling of serum microRNAs.

Huo Xu, Fenglin Yang, Danlong Chen, Weilin Ye, Guohui Xue, Lee Jia

Open access · goldFull text read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 2 institutions in 1 country.

Huo XuCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, 350108, China.
Fenglin YangCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, 350108, China.
Danlong ChenCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, 350108, China.
Weilin YeCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, 350108, China.
Guohui XueDepartment of Clinical Laboratory, Jiujiang NO.1 People's Hospital, Jiujiang, Jiangxi, 332000, China.
Lee JiaCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou, Fujian, 350108, China.
Minjiang University · CNJiujiang First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play an important biomarker in various biological processes, especially cancer related, yet economic, simple, sensitive and specific methods for miRNA determination are still challenging. In this study, we have developed stepwise-strand displacement amplification (S-SDA)-based colorimetric sensing platform for let-7a miRNA detection in clinical serum samples. Our results demonstrated that the developed S-SDA-based method shows high sensitivity with a detection limit of 63.2 pM and a naked eye detection limit of 0.1 nM. Moreover, the S-SDA amplifier is able to discriminate target miRNAs from their mutants with high accuracy and specificity. With its high sensitivity and selectivity, this method successfully identified healthy individuals from patients with colon cancer by detecting let-7a miRNAs in serum. We believe the colorimetric analysis method will provide a new paradigm for the detection of miRNA with different abundance and show great potential for clinical application in biomedical analysis and early clinical diagnosis.

Indexed as

Analytical chemistry applicationsDiagnostic technique in health technologyMedical device in health technology

Identifiers

PMID36968075
PMCPMC10034434
OpenAlexW4323075067

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read67
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 OpenQuestion graph.