Evidence map›Paper›PMID 41726651›Full record

ArticleACS omega2026

High-Sensitivity DNA Aptasensors for Detecting Salivary Biomarker S100A7 in Heart Failure.

Tomas Schwenke, Micaela B Sequeira, Roxane Mutschler, Chamindie Punyadeera, Alexander Beliaev, Kirill Alexandrov, Elena Eremeeva

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Tomas SchwenkeCentre for Agriculture and the Bioeconomy, School of Biology and Environmental Science, Queensland University of Technology, Gardens Point Campus, Brisbane, Queensland 4000, Australia.
Micaela B SequeiraCentre for Agriculture and the Bioeconomy, School of Biology and Environmental Science, Queensland University of Technology, Gardens Point Campus, Brisbane, Queensland 4000, Australia.
Roxane MutschlerCentre for Agriculture and the Bioeconomy, School of Biology and Environmental Science, Queensland University of Technology, Gardens Point Campus, Brisbane, Queensland 4000, Australia.ORCID https://orcid.org/0009-0009-2376-4293
Chamindie PunyadeeraSaliva and Liquid Biopsy Translational Laboratory, Institute for Biomedicine and Glycomics (IBG), Griffith University, Brisbane, Queensland 4111, Australia.
Alexander BeliaevARC Centre of Excellence in Synthetic Biology, Canberra, Australian Capital Territory 2601, Australia.
Kirill AlexandrovCentre for Agriculture and the Bioeconomy, School of Biology and Environmental Science, Queensland University of Technology, Gardens Point Campus, Brisbane, Queensland 4000, Australia.ORCID https://orcid.org/0000-0002-0957-6511
Elena EremeevaCentre for Agriculture and the Bioeconomy, School of Biology and Environmental Science, Queensland University of Technology, Gardens Point Campus, Brisbane, Queensland 4000, Australia.ORCID https://orcid.org/0000-0001-5181-1282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of heart failure (HF) is vital for improving patient outcomes, lowering hospital readmission rates, and enabling prompt treatment. We present the first high-affinity DNA aptamer for the salivary HF biomarker S100A7 and its application in highly sensitive, noninvasive diagnostic tests. Iterative truncation of the initial 82-nt aptamer (17-82) produced a 43-nt core (17-43) with a binding affinity of 27 nM, which was further enhanced to 5.5 nM through dimerization. Biochemical and mutational studies confirmed that 17-43 adopts a G-quadruplex structure, which is essential for S100A7 recognition and resistance to enzymatic degradation in human saliva. Incorporating 17-43 into sandwich aptamer-ELISA and hybrid aptamer-antibody ELISA assays allowed detection of recombinant S100A7 in human saliva with limits of detection (LOD) of 7.4 ng mL

Identifiers

PMID41726651
PMCPMC12917830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.