Evidence map›Paper›PMID 40440335›Full record

ArticlePLoS computational biology2025

Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo.

Miriam Schnitzerlein, Eric Greto, Anja Wegner, Anna Möller, Oliver Aust, Oumaima Ben Brahim, David B Blumenthal, Vasily Zaburdaev, Stefan Uderhardt

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Miriam SchnitzerleinDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID 0009-0002-6609-4479
Eric GretoDepartment of Medicine 3 - Rheumatology and Immunology, FAU and Universitätsklinikum Erlangen, Erlangen, Germany.
Anja WegnerDepartment of Medicine 3 - Rheumatology and Immunology, FAU and Universitätsklinikum Erlangen, Erlangen, Germany.
Anna MöllerDepartment of Medicine 3 - Rheumatology and Immunology, FAU and Universitätsklinikum Erlangen, Erlangen, Germany.ORCID 0000-0001-7517-8549
Oliver AustDepartment of Medicine 3 - Rheumatology and Immunology, FAU and Universitätsklinikum Erlangen, Erlangen, Germany.
Oumaima Ben BrahimDepartment of Medicine 3 - Rheumatology and Immunology, FAU and Universitätsklinikum Erlangen, Erlangen, Germany.
David B BlumenthalDepartment of Artificial Intelligence in Biomedical Engineering, FAU, Erlangen, Germany.
Vasily ZaburdaevDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID 0000-0001-8234-3442
Stefan UderhardtDepartment of Medicine 3 - Rheumatology and Immunology, FAU and Universitätsklinikum Erlangen, Erlangen, Germany.

Funding

DFG (German Research Foundation)Hightech Agenda Bavaria
6 · The paper itself

Abstract

Resident tissue macrophages (RTMs) are essential for tissue homeostasis. Their diverse functions, from monitoring interstitial fluids to clearing cellular debris, are accompanied by characteristic morphological changes that reflect their functional status. While current knowledge of macrophage behavior comes primarily from in vitro studies, their dynamic behavior in vivo is fundamentally different, necessitating a more physiologically relevant approach to their understanding. In this study, we employed intravital imaging to generate dynamic data from peritoneal RTMs in mice under various conditions and developed a comprehensive image processing pipeline to quantify RTM morphodynamics over time, defining human-interpretable cell size and shape features. These features allowed for the quantitative and qualitative differentiation of cell populations in various functional states, including pro- and anti-inflammatory activation and endosomal dysfunction. The study revealed that under steady-state conditions, RTMs exhibit a wide range of morphodynamical phenotypes, constituting a naïve morphospace of behavioral motifs. Upon challenge, morphodynamic patterns changed uniformly at the population level but predominantly within the constraints of this naïve morphospace. Notably, aged animals displayed a markedly shifted naïve morphospace, indicating drastically different behavioral patterns compared to their young counterparts. The developed method also proved valuable in optimizing explanted tissue setups, bringing RTM behavior closer to the physiological native state. Our versatile approach thus provides novel insights into the dynamic behavior of bona fide macrophages in vivo, enabling the distinction between physiological and pathological cell states and the assessment of functional tissue age on a population level.

Indexed as

MacrophagesAnimalsComputational BiologyHumansImage Processing, Computer-AssistedIntravital MicroscopyMiceMice, Inbred C57BL

Identifiers

PMID40440335
PMCPMC12193801

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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.