Evidence map›Paper›PMID 38548657›Full record

ArticleAdvanced biology2024

Label-Free Visualization and Morphological Profiling of Neuronal Differentiation and Axonal Degeneration through Quantitative Phase Imaging.

Jeong Hee Kim, Aysel Cetinkaya-Fisgin, Noah Zahn, Mehmet Can Sari, Ahmet Hoke, Ishan Barman

Open access · bronzeAbstract read
In one paragraph

Article in Advanced biology, 2024. 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
0.7field-weighted citation impact, top 35% of its field
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, 2 citations in OpenAlex.

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 at 1 institution in 1 country.

Jeong Hee KimDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID 0000-0001-5689-1445
Aysel Cetinkaya-FisginDepartment of Neurology, Neuromuscular Division, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Noah ZahnDepartment Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Mehmet Can SariDepartment of Neurology, Neuromuscular Division, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID 0009-0008-4789-9558
Ahmet HokeDepartment of Neurology, Neuromuscular Division, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID 0000-0003-1215-3373
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID 0000-0003-0800-0825
Johns Hopkins University · US

Funding

Next-generation optical nanoprobes: From quantum biosensing to cellular monitoringR35GM149272 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ISHAN BARMAN · 2023 to 2026
$1.6M
NIGMS NIH HHS 1R35GM149272NIGMS NIH HHS R35 GM149272
6 · The paper itself

Abstract

Understanding the intricate processes of neuronal growth, degeneration, and neurotoxicity is paramount for unraveling nervous system function and holds significant promise in improving patient outcomes, especially in the context of chemotherapy-induced peripheral neuropathy (CIPN). These processes are influenced by a broad range of entwined events facilitated by chemical, electrical, and mechanical signals. The progress of each process is inherently linked to phenotypic changes in cells. Currently, the primary means of demonstrating morphological changes rely on measurements of neurite outgrowth and axon length. However, conventional techniques for monitoring these processes often require extensive preparation to enable manual or semi-automated measurements. Here, a label-free and non-invasive approach is employed for monitoring neuronal differentiation and degeneration using quantitative phase imaging (QPI). Operating on unlabeled specimens and offering little to no phototoxicity and photobleaching, QPI delivers quantitative maps of optical path length delays that provide an objective measure of cellular morphology and dynamics. This approach enables the visualization and quantification of axon length and other physical properties of dorsal root ganglion (DRG) neuronal cells, allowing greater understanding of neuronal responses to stimuli simulating CIPN conditions. This research paves new avenues for the development of more effective strategies in the clinical management of neurotoxicity.

Indexed as

AxonsCell DifferentiationGanglia, SpinalAnimalsHumansMiceNeuronsPeripheral Nervous System DiseasesQuantitative Phase Imagingaxon degenerationchemotherapy‐induced peripheral neuropathy (CIPN)dorsal root ganglion (DRG)label‐free imagingquantitative phase imaging (QPI)

Identifiers

PMID38548657
PMCPMC11090721
OpenAlexW4393315870

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.