Evidence map›Paper›PMID 41440262›Full record

ArticleBiosensors2025

Antibody-Based Biolayer Interferometry Platform for Rapid Detection of Neutrophil Gelatinase-Associated Lipocalin.

Somphot Saoin, Sawitree Nangola, Kannaporn Intachai, Eakkapote Prompunt, Chiraphat Kloypan, Trairak Pisitkun, Chatikorn Boonkrai

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

Somphot SaoinDivision of Clinical Immunology and Transfusion Science, Department of Medical Technology, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-7502-7000
Sawitree NangolaDivision of Clinical Immunology and Transfusion Science, Department of Medical Technology, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-0854-493X
Kannaporn IntachaiDivision of Clinical Hematology and Microscopy, Department of Medical Technology, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-0660-6682
Eakkapote PrompuntDivision of Clinical Microbiology and Medical Parasitology, Department of Medical Technology, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.
Chiraphat KloypanDepartment of Pathology, School of Medicine, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0003-0547-1381
Trairak PisitkunCenter of Excellence in Systems Biology, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0001-6677-2271
Chatikorn BoonkraiCenter of Excellence in Systems Biology, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-0341-5864

Funding

The University of Phayao and the Thailand Science Research and Innovation Fund Fundamental Fund 2024; Grant No. 256/2567
6 · The paper itself

Abstract

Neutrophil gelatinase-associated lipocalin (NGAL) has emerged as a critical biomarker for the early diagnosis of acute kidney injury (AKI). The development of novel detection platforms that combine rapid analysis with high sensitivity is essential for improving clinical outcomes. In this study, we established an antibody-based detection system for NGAL using biolayer interferometry (BLI), a label-free optical biosensing technique that monitors real-time interference patterns generated by white light reflected from biomolecular binding events on a biosensor surface. A panel of six anti-NGAL monoclonal antibodies was generated and characterized for its binding properties, identifying candidates with high specificity for NGAL. For robust sensor functionalization, selected monoclonal antibodies were biotinylated and immobilized onto streptavidin-coated biosensor tips, establishing a stable and efficient detection interface. The optimized BLI platform demonstrated a limit of detection (LOD) of 46.1 ng/mL with wild dynamic range of 19 to 40,000 ng/mL. The platform's accuracy was validated using human serum samples, with spike-and-recovery experiments yielding recovery rates of 96.6-104.6%. This demonstrates the capability to accurately quantify NGAL under physiologically relevant conditions with minimal matrix interference. Furthermore, the real-time kinetic measurements enabled rapid analysis, with the entire assay completed in less than half an hour. These findings establish a proof-of-concept for a BLI-based biosensor for NGAL detection, demonstrating sensitivity and specificity that show potential for clinical applications.

Indexed as

Biosensing TechniquesInterferometryLipocalin-2Antibodies, MonoclonalHumansLimit of DetectionAntibodies, MonoclonalLCN2 protein, humanLipocalin-2acute kidney injuryanti-NGAL antibodybiolayer interferometrybiosensorLipocalin-2

Identifiers

PMID41440262
PMCPMC12730675

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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.