Evidence map›Paper›PMID 42336352›Full record

ArticleAnalytical chemistry2026

Label-Free Detection of Cellular Aβ Accumulation and Mitochondrial Dysfunction in AD Cell Models via Raman Microscopy.

Yusuke Mitsuoka, Takeshi Morimoto, Kazuki Bando, Susumu Hara, Katsumasa Fujita, Kohji Nishida

Abstract read
In one paragraph

Article in Analytical chemistry, 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
–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

6 authors.

Yusuke MitsuokaDepartment of Ophthalmology, The University of Osaka Graduate School of Medicine, Suita, Osaka 565-0871, Japan.ORCID 0000-0001-6187-2660
Takeshi MorimotoDepartment of Ophthalmology, The University of Osaka Graduate School of Medicine, Suita, Osaka 565-0871, Japan.ORCID 0000-0002-9653-1556
Kazuki BandoDepartment of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan.
Susumu HaraDepartment of Ophthalmology, The University of Osaka Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Katsumasa FujitaDepartment of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan.ORCID 0000-0002-2284-375X
Kohji NishidaDepartment of Ophthalmology, The University of Osaka Graduate School of Medicine, Suita, Osaka 565-0871, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurocognitive disorder characterized by the accumulation of amyloid beta (Aβ) in senile plaques in the brain. Aβ accumulates in nerve cells, causing cellular dysfunction through various mechanisms, including mitochondrial dysfunction, leading to apoptosis. AD cell models are being studied to elucidate the neurotoxic effect of Aβ; however, conventional methods such as immunostaining and fluorescent molecular labeling require extensive sample manipulation and may produce artifacts not reflective of natural states. In this study, we employed Raman microscopy on AD cell models and simultaneously detected Aβ accumulated in cells and associated mitochondrial dysfunction through cytochrome distribution changes. This label-free method enables the observation of AD cell models in a more natural state and is expected to contribute to elucidating the mechanism of cell damage caused by Aβ. Furthermore, applying this system to experiments involving Aβ inhibitor administration enables rapid, label-free evaluation of drug activity, which is highly valuable in drug development.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesMicroscopyMitochondriaSpectrum Analysis, RamanAnimalsHumansAmyloid beta-Peptides

Identifiers

PMID42336352
PMCPMC13348670

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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.