Evidence map›Paper›PMID 39161448›Full record

ArticleRSC advances2024

Convenient two-step method constructed silicon-based microfluidic chip for fast CYP2C19 SNPs detection.

Haobo Wang, Chi Yan, Hua Tong, Xiaojun Ye, Xiao Yuan, Cui Liu, Hongbo Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Haobo WangSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.ORCID https://orcid.org/0009-0002-7564-7813
Chi YanSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.
Hua TongSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.
Xiaojun YeSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.
Xiao YuanSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.
Cui LiuSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.
Hongbo LiSchool of Materials Science and Engineering, East China University of Science and Technology Shanghai 200237 China liucui@ecust.edu.cn lihongbo@ecust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid detection of single nucleotide polymorphisms (SNPs) in the CYP2C19 gene is crucial for precise clopidogrel usage. Quantitative real-time polymerase chain reaction (qPCR), as a powerful amplification tool, has been widely employed for CYP2C19 SNPs detection. However, traditional qPCR suffers from long amplification times and high reagent consumption. To address these challenges, this work presents a microfluidic SNPs detection device based on on-chip qPCR. The device includes a rapid thermal cycling system, an optical detection system, a control system, and a complementary silicon-glass chip for CYP2C19 SNPs detection. Compared to commercial qPCR instruments that take 1 hour for testing, this device completes the test in just 15 minutes (40 PCR cycles). The resulting linearity is similar to that found using commercial qPCR instruments but with higher amplification efficiency. Additionally, compared with other silicon-based qPCR chips, this chip is constructed by using a convenient two-step method and offers low manufacturing costs, which potentially reduces single-test costs to an acceptable level. This makes our chip promising for point-of-care testing (POCT).

Identifiers

PMID39161448
PMCPMC11331396

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.