Evidence map›Paper›PMID 39056593›Full record

ArticleBiosensors2024

Bowtie Nanoantenna LSPR Biosensor for Early Prediction of Preeclampsia.

Ke Yi, Mengyin Ao, Ting Ding, Danxi Zheng, Lin Li

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 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. Article
  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

5 authors.

Ke YiGynecology Department of West China Second University Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-2044-6870
Mengyin AoGynecology Department of West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Ting DingGynecology Department of West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Danxi ZhengGynecology Department of West China Second University Hospital, Sichuan University, Chengdu 610041, China.
Lin LiGynecology Department of West China Second University Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-2122-5578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe concentration of the placental circulating factor in early pregnancy is often extremely low, and the traditional prediction method cannot meet the clinical demand for early detection preeclampsia in high-risk gravida. It is of prime importance to seek an ultra-sensitive early prediction method.

methodsIn this study, finite-different time-domain (FDTD) and Discrete Dipole Approximation (DDA) simulation, and electron beam lithography (EBL) methods were used to develop a bowtie nanoantenna (BNA) with the best field enhancement and maximum coupling efficiency. Bio-modification of the placental circulating factor (sFlt-1, PLGF) to the noble nanoparticles based on the amino coupling method were explored. A BNA LSPR biosensor which can specifically identify the placental circulating factor in preeclampsia was constructed.

resultsThe BNA LSPR biosensor can detect serum placental circulating factors without toxic labeling. Serum sFlt-1 extinction signal (Δλmax) in the preeclampsia group was higher than that in the normal pregnancy group (14.37 ± 2.56 nm vs. 4.21 ± 1.36 nm),

conclusionsLSPR biosensor based on BNA can identify the serum placental circulating factor of preeclampsia with high sensitivity, without toxic labeling and with simple operation, and it is expected to be an early detection method for preeclampsia.

Indexed as

Biosensing TechniquesPlacenta Growth FactorPre-EclampsiaFemaleHumansPregnancySurface Plasmon ResonanceVascular Endothelial Growth Factor Receptor-1FLT1 protein, humanPlacenta Growth FactorVascular Endothelial Growth Factor Receptor-1bowtie nanoantennaearly predictionlocalized surface plasmon resonancepreeclampsia

Identifiers

PMID39056593
PMCPMC11274383

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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.