Evidence map›Paper›PMID 40255604›Full record

ArticleACS measurement science au2025

A Fast Immunosensor Based on Biohybrid Self-Assembled Nanostructures for the Detection of KYNA as a Cerebrospinal Fluid Biomarker for Alzehimer's Disease.

A Narváez, J Jiménez, M Rodríguez-Núñez, M Torre, E Carro, M-P Marco, E Domínguez

Abstract read
In one paragraph

Article in ACS measurement science au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

A NarváezBioanalysis and Biosensor group, University of Alcalá, 28805 Alcalá de Henares, Spain.ORCID https://orcid.org/0000-0001-8141-558X
J JiménezBioanalysis and Biosensor group, University of Alcalá, 28805 Alcalá de Henares, Spain.
M Rodríguez-NúñezSurfactants and Nanobiotechnology Department, Nanobiotechnology for Diagnostics (Nb4D) Group, Institute for Advanced Chemistry of Catalonia (IQAC) of the Spanish National Research Council (CSIC), 08034 Barcelona, Spain.
M TorreBioanalysis and Biosensor group, University of Alcalá, 28805 Alcalá de Henares, Spain.
E CarroGroup of Neurodegenerative Diseases, Hospital 12 de Octubre Research Institute (imas12), 28041 Madrid, Spain.
M-P MarcoSurfactants and Nanobiotechnology Department, Nanobiotechnology for Diagnostics (Nb4D) Group, Institute for Advanced Chemistry of Catalonia (IQAC) of the Spanish National Research Council (CSIC), 08034 Barcelona, Spain.ORCID https://orcid.org/0000-0002-4064-1668
E DomínguezBioanalysis and Biosensor group, University of Alcalá, 28805 Alcalá de Henares, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the role of kynurenic acid (KYNA) is not yet fully understood, recent research has implicated this tryptophan (Trp) metabolite as a significant biomarker in neurodegenerative diseases. In this study, we developed an immunosensor platform based on self-assembled polyelectrolyte multilayers (PEMs), employing an enzyme-labeled immunoreagent in a competitive displacement format that requires only a single wash step. This immunosensor enables the detection of KYNA and Trp with detection limits (LOD) of 9 pg/mL and 1.2 ng/mL, respectively. Results validated by traditional ELISA methods indicated elevated levels of KYNA and an increased KYNA/Trp ratio in the cerebrospinal fluid (CSF) of Alzheimer's patients compared to controls, consistent with previous findings. Additionally, this immunosensor platform can be readily adapted to detect other neuroactive Trp metabolites by substituting specific immunoreagents, supporting a flexible profile-based approach. This platform could serve as a rapid, cost-effective clinical tool for monitoring neurological and psychiatric disorders, potentially advancing therapeutic strategy development.

Identifiers

PMID40255604
PMCPMC12006949

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.