Evidence map›Paper›PMID 40659832›Full record

ArticleNature biomedical engineering2026

Label-free protein-structure-sensitive live-cell microscopy for patient-specific assessment of myeloma therapy.

Francesca Gasparin, Marlene R Tietje, Eslam Katab, Aizada Nurdinova, Tao Yuan, Andriy Chmyrov, Nasire Uluç, Dominik Jüstel, Florian Bassermann, Vasilis Ntziachristos and 1 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 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

11 authors.

Francesca GasparinInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Marlene R TietjeDepartment of Medicine III, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Eslam KatabDepartment of Medicine III, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Aizada NurdinovaInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Tao YuanInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Andriy ChmyrovInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-0265-019X
Nasire UluçInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Dominik JüstelInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-5464-6291
Florian BassermannDepartment of Medicine III, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Vasilis NtziachristosInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany. bioimaging.translatum@tum.de.ORCID http://orcid.org/0000-0002-9988-0233
Miguel A PleitezInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany. miguel.pleitez@tum.de.ORCID http://orcid.org/0000-0002-7379-4409

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 360372040-SFB 1335Deutsche Forschungsgemeinschaft (German Research Foundation) BA 2851/6-1EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 694968 (PREMSOT)Gottfried Wilhelm Leibniz Universität Hannover (Leibniz University Hannover) 2013; NT 3/10-1
6 · The paper itself

Abstract

The efficacy of drug therapy in multiple myeloma is conventionally assessed by whole-cell-population methods, serum analysis of light chains and monoclonal antibodies, immunofixation electrophoresis, or by flow cytometry of bone marrow aspirates and biopsies. These methods provide relevant information on the presence of specific immunoglobulins at high sensitivity and specificity but require a large number of cells, involve long and laborious sample preparation steps, and provide only tumour bulk information. Here we develop a single-cell imaging technique requiring a reduced number of primary cells for longitudinal evaluation of patient-specific treatment and assessment of treatment heterogeneity. By exploiting the mechanistic action of proteasome inhibition and in synergy with the label-free protein-structure specificity of mid-infrared optoacoustic microscopy, we present a technology that facilitates longitudinal evaluation of myeloma treatment and a patient's heterogeneous response. Detecting optical-generated ultrasound waves that intensify with optical absorption, this technology allows observation of proteins in living cells with high sensitivity. Specifically, we use intermolecular β-sheet formation as a biomarker for cell viability during therapy and apply it to assess drug-treatment performance in multiple myeloma patients.

Indexed as

MicroscopyMultiple MyelomaCell Line, TumorCell SurvivalHumansPhotoacoustic TechniquesSingle-Cell Analysis

Identifiers

PMID40659832
PMCPMC12823395

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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.