Evidence map›Paper›PMID 41896569›Full record

ArticleScientific reports2026

Albumin-on-a-chip: binding profiling of circulating human albumin via selective immunocapture and real-time SPR analysis.

Marta Nugnes, Maurizio Baldassarre, Paolo Caraceni, Marina Naldi, Manuela Bartolini

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In one paragraph

Article in Scientific reports, 2026. 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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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Marta NugnesDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy.
Maurizio BaldassarreUnit of Semeiotics, Liver and Alcohol-related Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Paolo CaraceniUnit of Semeiotics, Liver and Alcohol-related Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marina NaldiDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy. marina.naldi@unibo.it.ORCID https://orcid.org/0000-0002-2890-3856
Manuela BartoliniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy. manuela.bartolini3@unibo.it.ORCID https://orcid.org/0000-0003-4468-2974

Funding

University of Bologna RFO funding scheme
6 · The paper itself

Abstract

A cost-effective surface plasmon resonance (SPR)-based sensing platform was developed to evaluate alterations in albumin binding capacity under clinically relevant conditions. This ex vivo approach enables real-time assessment of albumin-ligand interactions using albumin directly isolated from plasma, thus overcoming key limitations of conventional in vitro approaches. The sensing surface was prepared by covalently immobilizing a polyclonal anti-albumin antibody onto a CM5 chip, followed by a single-step immunocapture of albumin from patient plasma samples. Mass spectrometry confirmed the selective retrieval of both native and structurally modified albumin forms, preserving their relative abundance and disease-associated microheterogeneity. The sensing surface demonstrated high reusability and analytical reproducibility over ~ 500 capture-release cycles, significantly lowering per-sample costs. Functional validation was performed using ligands targeting the three main albumin binding sites. As proof of application, the system was used to investigate albumin binding properties in plasma from (i) type 2 diabetic patients with (n = 10) and without (n = 10) moderate kidney impairment, and (ii) patients with cirrhosis and acute-on-chronic liver failure (n = 6), a condition associated with extensive albumin damage. The proposed approach provides a robust analytical framework for the functional characterization of circulating albumin in healthy and diseased conditions.

Indexed as

Serum Albumin, HumanSurface Plasmon ResonanceDiabetes Mellitus, Type 2HumansProtein BindingSerum Albumin, HumanAlbumin functional alterationsEx vivo binding studiesMass spectrometryPersonalized profilingSensing deviceSurface plasmon resonance

Identifiers

PMID41896569
PMCPMC13039201

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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.