Evidence map›Paper›PMID 39589994›Full record

ArticleBiosensors2024

Lateral Flow Assay for Preeclampsia Screening Using DNA Hairpins and Surface-Enhanced Raman-Active Nanoprobes Targeting hsa-miR-17-5p.

Ka Wai Ng, Siddhant Jaitpal, Ngoc Nhu Vu, Angela Michelle T San Juan, Sayantan Tripathy, Rohit Sai Kodam, Abhishek Bastiray, Jae-Hyun Cho, Mahua Choudhury, Gerard L Coté and 1 more

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

11 authors.

Ka Wai NgDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.ORCID 0000-0001-5452-529X
Siddhant JaitpalDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.
Ngoc Nhu VuDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.
Angela Michelle T San JuanDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.
Sayantan TripathyDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.
Rohit Sai KodamDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.ORCID 0009-0000-7096-6335
Abhishek BastirayDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA.
Jae-Hyun ChoDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA.
Mahua ChoudhuryIrma Lerma Rangel College of Pharmacy, Texas A&M University, 159 Reynolds Medical Building, College Station, TX 77843, USA.
Gerard L CotéDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.ORCID 0000-0002-3164-9625
Samuel MabbottDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, College Station, TX 77843, USA.ORCID 0000-0003-4926-5467

Funding

National Science Foundation 1648451National Science Foundation 2022805
6 · The paper itself

Abstract

Preeclampsia (PE) is a serious complication that poses risks to both mothers and their children. This condition is typically asymptomatic until the second or even third trimester, which can lead to poor outcomes and can be costly. Detection is particularly challenging in low- and middle-income countries, where a lack of centralized testing facilities coincides with high rates of PE-related maternal mortality. Variations in the levels of hsa-miR-17-5p have been identified as constituting a potential early indicator for distinguishing between individuals with PE and those without PE during the first trimester. Thus, developing a screening test to measure hsa-miR-17-5p levels would not only facilitate rapid detection in the early stages of pregnancy but also help democratize testing globally. Here, we present a proof-of-principle lateral-flow assay (LFA) designed to measure hsa-miR-17-5p levels using DNA-hairpin recognition elements for enhanced specificity and nanoprobes for sensitive surface-enhanced resonance Raman scattering (SERS) signal transduction. The theoretical limit of detection for hsa-miR-17-5p was 3.84 × 10

Indexed as

MicroRNAsPre-EclampsiaSpectrum Analysis, RamanBiosensing TechniquesDNAFemaleHumansPregnancyDNAMicroRNAsMIRN17 microRNA, humanDNA hairpinlateral flow assaymicroRNAsnanocompositespaper microfluidicspreeclampsiasurface-enhanced Raman scattering

Identifiers

PMID39589994
PMCPMC11592307

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.