Evidence map›Paper›PMID 41898556›Full record

ReviewInternational journal of molecular sciences2026

Biosensor-Based Detection of Calprotectin and Lactoferrin as Neutrophil-Derived Markers of Inflammatory Bowel Diseases: From Molecular Pathophysiology to Point-of-Care Platforms.

Nikita Sitkov, Andrey Ryabko, Sergei Ivanov, Yuri Cheburkin, Alexey Kolobov, Diana Khasanova, Vladimir Nikolaev, Dmitrii Kaplun, Kamil Gareev

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. 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

9 authors.

Nikita SitkovDepartment of Micro and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", 197022 Saint Petersburg, Russia.ORCID 0000-0003-4870-8641
Andrey RyabkoIoffe Institute, 194021 Saint Petersburg, Russia.ORCID 0000-0001-9626-7612
Sergei IvanovAlmazov National Medical Research Centre, 197341 Saint Petersburg, Russia.ORCID 0000-0003-0254-3941
Yuri CheburkinInstitute of Power Electronics and Photonics, Saint Petersburg Electrotechnical University "LETI", 197022 Saint Petersburg, Russia.ORCID 0000-0002-1896-5703
Alexey KolobovInstitute of Power Electronics and Photonics, Saint Petersburg Electrotechnical University "LETI", 197022 Saint Petersburg, Russia.ORCID 0000-0002-3666-9115
Diana KhasanovaDepartment of Micro and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", 197022 Saint Petersburg, Russia.
Vladimir NikolaevIoffe Institute, 194021 Saint Petersburg, Russia.
Dmitrii KaplunSchool of Computer Science and Technology/School of Artificial Intelligence, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0003-2765-4509
Kamil GareevDepartment of Micro and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", 197022 Saint Petersburg, Russia.ORCID 0000-0001-6047-1208

Funding

Russian Science Foundation 25-79-10055
6 · The paper itself

Abstract

Inflammatory bowel diseases (IBD) are chronic, relapsing, immune-mediated disorders that require regular and preferably noninvasive monitoring of inflammatory activity. Fecal biomarkers of neutrophilic inflammation, namely calprotectin and lactoferrin, therefore represent key analytical targets for diagnosis and longitudinal disease management. Despite their widespread clinical use, existing publications predominantly address either their clinical relevance or individual technical solutions, without establishing a comprehensive engineering-translational framework for their biosensor-based implementation. This review bridges this gap by providing an integrative analysis of the molecular and biological nature of calprotectin and lactoferrin, the mechanisms underlying their appearance in fecal matrices, and the analytical constraints that directly influence the design of hybrid point-of-care (PoC) biosensor systems. We systematically compare major biosensing platforms, emphasizing sensor architecture, signal transduction mechanisms, and sample preparation strategies as critical determinants of sensitivity, selectivity, reproducibility, and clinical relevance. The novelty of this review lies in combining the pathophysiological context of neutrophilic inflammation with physicochemical and technological aspects of biosensor development, enabling a transition from laboratory prototypes to evaluation of real translational readiness. The practical significance resides in establishing a methodological basis for rational design of next-generation hybrid-integrated biosensor systems and outlining perspectives for digital analytics and artificial intelligence in clinically interpretable IBD monitoring.

Indexed as

Biosensing TechniquesInflammatory Bowel DiseasesLactoferrinLeukocyte L1 Antigen ComplexNeutrophilsAnimalsBiomarkersFecesHumansPoint-of-Care SystemsBiomarkersLactoferrinLeukocyte L1 Antigen Complexantibodiesaptamersbiosensorscalprotectininflammatory bowel diseaseslabel-free detectionlactoferrinnanomaterialspeptidespoint-of-care testing

Identifiers

PMID41898556
PMCPMC13026236

What Socratic holds

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LicenceCC BY
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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 Socratic graph.