Evidence map›Paper›PMID 42581533›Full record

ArticleSmall methods2026

Spatial Characterization of the Human Meniscus: Bridging Biomechanics and Biochemistry Using Atomic Force Microscopy Micro-Indentation and Mass Spectrometry Imaging.

Aleksandra N Lebedeva, Martin Handelshauser, Orestis G Andriotis, Lena Hirtler, Martina Marchetti-Deschmann, Philipp J Thurner

Abstract read
In one paragraph

Article in Small methods, 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
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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

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

6 authors.

Aleksandra N LebedevaFaculty of Mechanical and Industrial Engineering, Institute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria.ORCID https://orcid.org/0000-0002-4611-0745
Martin HandelshauserFaculty of Mechanical and Industrial Engineering, Institute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria.
Orestis G AndriotisFaculty of Mechanical and Industrial Engineering, Institute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria.ORCID https://orcid.org/0000-0003-4107-1510
Lena HirtlerCenter For Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-5194-9118
Martina Marchetti-DeschmannFaculty of Technical Chemistry, Institute of Chemical Technologies and Analytics, TU Wien, Vienna, Austria.ORCID https://orcid.org/0000-0002-8060-7851
Philipp J ThurnerFaculty of Mechanical and Industrial Engineering, Institute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria.ORCID https://orcid.org/0000-0001-7588-9041

Funding

Federal Ministery Republic of Austria for Education, Science and Research (2016) HRSM2026
6 · The paper itself

Abstract

Meniscus biomechanical properties are dependent on the microscale composition and distribution of structural proteins and other macromolecules. In this context, the local mechanical properties (material properties) of the meniscus largely depend on the chemical composition. However, to date, a direct link between the spatial biomechanical and biochemical footprint of the meniscus at the microscale is lacking. To this end, we show a multimodal imaging approach for fresh frozen tissue linking the biomechanical and biochemical readouts from atomic force microscopy (AFM) micro-indentation and matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI), respectively. We consecutively applied both imaging modalities on the same tissue section, enabling direct correlative comparison across nano- to micrometer length scales. Using human meniscus cryosections, we provide spatial distribution information of collagen and other proteins in three zones of the meniscus section exhibiting different apparent elasticity. This methodology shows promise in providing a better understanding of the relationship between local meniscus composition and micromechanics. In addition, the technique has potential for improved detection of meniscus degeneration biomarkers and, in the future, linking those to clinical imaging readouts.

Indexed as

MeniscusMicroscopy, Atomic ForceSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomechanical PhenomenaCollagenHumansCollagenAFM micro‐indentationcollagenhuman meniscusMALDI mass spectrometry imagingmultimodal imaging

Identifiers

PMID42581533
PMCPMC13599714

What OpenQuestion holds

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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 OpenQuestion graph.