Evidence map›Paper›PMID 40768564›Full record

ArticleACS nano2025

Drug-Induced Reversible Lysosomal Changes Tracked in Live Cells by Holo-Tomographic Flow Cytometry.

Daniele Pirone, Michela Schiavo, Giusy Giugliano, Sandro Montefusco, Lisa Miccio, Pasquale Memmolo, Diego Luis Medina, Pietro Ferraro

Abstract read
In one paragraph

Article in ACS nano, 2025. 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
–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

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

8 authors.

Daniele PironeCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.
Michela SchiavoTIGEM, Telethon Institute of Genetics and Medicine, Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.
Giusy GiuglianoCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.
Sandro MontefuscoTIGEM, Telethon Institute of Genetics and Medicine, Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.
Lisa MiccioCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.
Pasquale MemmoloCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.ORCID 0000-0002-9607-7728
Diego Luis MedinaTIGEM, Telethon Institute of Genetics and Medicine, Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.
Pietro FerraroCNR-ISASI, Institute of Applied Sciences and Intelligent Systems "E. Caianiello", Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy.ORCID 0000-0002-0158-3856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysosomal storage diseases (LSDs) are genetic disorders caused by enzyme deficiencies that lead to lysosomal dysfunction and progressive cell damage. Accurate visualization and quantification of lysosomal morphology and subcellular localization are essential parameters for understanding the pathology and disease progression of different LSDs, as well as for developing effective therapies. Here, we successfully identified and characterized lysosomes using a holo-tomographic flow cytometry (HTFC) technique, which allows for label-free, high-content, and high-throughput 3D imaging of lysosomal compartments in single live cells. This study could complement traditional gold-standard methods to overcome the actual limitations. Leveraging this technology, we propose quantitative biomarkers of lysosomal accumulation in LSD-affected cells. In fact, by generating refractive index tomograms, we achieved accurate measurement and comprehensive 3D visualization of cytoplasmic lysosomal aggregation in suspended single cells. Through experimental validation and advanced computational analyses, we identified a quantitative correlation between the 3D lysosomal architecture and the efficacy of various therapeutic strategies, including genetic and pharmacological interventions. This work represents a significant advance in lysosomal research and may support future efforts to improve diagnostics and develop targeted therapies for LSDs.

Indexed as

Flow CytometryLysosomal Storage DiseasesLysosomesHumansImaging, Three-Dimensionaldigital holographydrug testinghigh-content imagingimaging flow cytometrylabel-free biomarkerslysosomal storage diseasesquantitative phase imaging

Identifiers

PMID40768564
PMCPMC12369006

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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.