Evidence map›Paper›PMID 39334133›Full record

ArticleBMC biotechnology2024

Systematic design and evaluation of aptamers for VEGF and PlGF biomarkers of Preeclampsia.

Samavath Mallawarachchi, Rümeysa E Cebecioglu, Majed Althumayri, Levent Beker, Sandun Fernando, Hatice Ceylan Koydemir

Abstract read
In one paragraph

Article in BMC biotechnology, 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

6 authors.

Samavath Mallawarachchi *Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX, 77843, USA.
Rümeysa E Cebecioglu *Department of Biomedical Sciences and Engineering, Koç University, Istanbul, 34450, Turkey.
Majed Althumayri *Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Levent BekerDepartment of Mechanical Engineering, Koç University, Istanbul, 34450, Turkey.
Sandun FernandoDepartment of Biological and Agricultural Engineering, Texas A&M University, College Station, TX, 77843, USA.
Hatice Ceylan KoydemirDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA. hckoydemir@tamu.edu.

Funding

National Science Foundation 1648451
6 · The paper itself

Abstract

Preeclampsia is a potentially life-threatening condition for both mother and baby, characterized by hypertension and potential organ damage. Early diagnosis is crucial to mitigate its adverse health effects. Traditional diagnostic methods, which focus on late-manifesting symptoms like hypertension and proteinuria, underscore the need for molecular diagnostic approaches for timely detection. This study successfully designs and evaluates novel aptamers with high specificity and affinity for Vascular Endothelial Growth Factor (VEGF) and Placental Growth Factor (PlGF), biomarkers closely associated with preeclampsia. Using molecular docking, molecular dynamics simulations, and BioLayer Interferometry (BLI), we identified aptamers that demonstrated strong binding affinities, comparable or superior to traditional antibodies. Our findings suggest that these aptamers have the potential to be integrated into cost-effective, point-of-care diagnostic tools, significantly improving early detection and intervention strategies for preeclampsia. The robust performance of these aptamers marks a pivotal step toward the development of more reliable and accessible diagnostic solutions, with implications for better maternal and fetal health outcomes.

Indexed as

Aptamers, NucleotideBiomarkersPlacenta Growth FactorPre-EclampsiaVascular Endothelial Growth Factor AFemaleHumansMolecular Docking SimulationMolecular Dynamics SimulationPregnancyAptamers, NucleotideBiomarkersPGF protein, humanPlacenta Growth FactorVascular Endothelial Growth Factor AVEGFA protein, humanAptamerAptamer designAptasensorBio-layer interferometryBiomarkerDiagnosticsMolecular dockingPlGFPreeclampsiaVEGF

Identifiers

PMID39334133
PMCPMC11428563

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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.