Evidence map›Paper›PMID 42562877›Full record

ArticleNature nanotechnology2026

Spectral biophysical cytometry with nanosensors reveals remodelling of immune cells in atherosclerosis.

Cenk O Gurdap, Dunya Aydos, Luca A Andronico, Gábor Tóth, Tugce Ceker, John Cowgill, Irem Muge Akbulut Koyuncu, Neslihan Basak, Jaromir Mikes, Andrey S Klymchenko and 5 more

Abstract read
In one paragraph

Article in Nature nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

15 authors.

Cenk O GurdapScience for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden. cenk.gurdap@ki.se.ORCID http://orcid.org/0000-0002-5327-2523
Dunya AydosStem Cell Institute, Ankara University, Ankara, Turkey.ORCID http://orcid.org/0000-0003-3574-7844
Luca A AndronicoScience for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.ORCID http://orcid.org/0000-0002-4326-073X
Gábor TóthDepartment of Chemistry for Life Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-1428-7906
Tugce CekerScience for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.ORCID http://orcid.org/0000-0001-8874-2241
John CowgillScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.ORCID http://orcid.org/0000-0002-7968-8359
Irem Muge Akbulut KoyuncuDepartment of Cardiovascular Medicine, Ankara University School of Medicine, Ankara, Turkey.
Neslihan BasakStem Cell Institute, Ankara University, Ankara, Turkey.
Jaromir MikesClinical Pediatrics Unit, Dept. of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.ORCID http://orcid.org/0000-0002-9941-7855
Andrey S KlymchenkoLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, ITI SysChem-Chimie des Systèmes Complexes, Faculté de Pharmacie, Université de Strasbourg, Illkirch, France.ORCID http://orcid.org/0000-0002-2423-830X
Federico PietrocolaDepartment of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden.
Petter BrodinClinical Pediatrics Unit, Dept. of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.
Ingela LanekoffDepartment of Chemistry for Life Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-9040-3230
Verda Ceylan BitirimStem Cell Institute, Ankara University, Ankara, Turkey.
Erdinc SezginScience for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden. erdinc.sezgin@ki.se.ORCID http://orcid.org/0000-0002-4915-388X

Funding

Wellcome Trust
6 · The paper itself

Abstract

The biophysical properties of cells determine cellular physiology. Leveraging these properties for biomedical applications demands the ability to measure multiple parameters simultaneously across millions of cells and diverse cell types. However, current technologies are limited by throughput and low dimensionality. Here we introduce spectral biophysical cytometry (SBC), a high-throughput platform that integrates environment-sensitive nanosensors with spectral flow cytometry to resolve multiparametric biophysical properties of immune cells at single-cell resolution. By using fluorescent nanosensors that report membrane order, mitochondrial potential and membrane potential, SBC enables simultaneous quantification of key cellular physical states across diverse immune cell populations. When applied to peripheral blood mononuclear cells, SBC reveals cell-type-specific biophysical heterogeneity and identifies distinct remodelling signatures associated with atherosclerosis. In particular, T-cell subsets exhibit substantial alterations in membrane order and mitochondrial depolarization, reflecting coordinated changes in lipid composition and metabolic pathways. Integration with lipidomics and transcriptomics demonstrates that the nanosensors can detect biophysical shifts that correlate with dysregulated lipid metabolism and mitochondrial function, providing mechanistic insight into immune dysfunction in disease. Importantly, SBC achieves rapid, label-efficient profiling using commercially available instrumentation, enabling scalable biomarker discovery directly from blood samples and establishing a powerful strategy for linking biophysical phenotypes to immune cell function.

Indexed as

AtherosclerosisBiosensing TechniquesFlow CytometryLeukocytes, MononuclearNanotechnologyAnimalsHumansMembrane Potential, MitochondrialSingle-Cell Analysis

Identifiers

PMID42562877
PMCPMC13569417

What OpenQuestion holds

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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 OpenQuestion graph.