Evidence map›Paper›PMID 40835572›Full record

ArticleBiochemistry2025

Raman Spectroscopy and Imaging Reveal the Effect of β-Carotene Supplementation on Brain Cancer Cells.

Karolina Jarczewska, Monika Kopeć, Halina Abramczyk, Jakub Maciej Surmacki

Abstract read
In one paragraph

Article in Biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Karolina JarczewskaFaculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Lodz University of Technology, Wroblewskiego 15, Lodz 93-590, Poland.ORCID 0000-0003-4270-4981
Monika KopećFaculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Lodz University of Technology, Wroblewskiego 15, Lodz 93-590, Poland.ORCID 0000-0001-5412-0399
Halina AbramczykFaculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Lodz University of Technology, Wroblewskiego 15, Lodz 93-590, Poland.ORCID 0000-0002-7222-3583
Jakub Maciej SurmackiFaculty of Chemistry, Institute of Applied Radiation Chemistry, Laboratory of Laser Molecular Spectroscopy, Lodz University of Technology, Wroblewskiego 15, Lodz 93-590, Poland.ORCID 0000-0001-6654-0286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary β-carotene is the most common carotenoid in the world. Naturally occurs in vegetables and fruits (e.g., carrots, tomatoes). Recently, β-carotene has been studied for its effects on the human body; however, the effect of this carotenoid on brain tumor metabolism at the cellular level is still unknown. Here, we consider whether β-carotene influences brain tumor cell metabolism and, if so, whether this effect stimulates or inhibits tumor growth. To find out the effect of β-carotene on brain cells (normal human astrocytes, astrocytoma, and glioblastoma), we applied Raman spectroscopy and imaging. We focused our analysis on biological changes in particular cell organelles such as the nucleus, mitochondria, lipid droplets/endoplasmic reticulum, and cytoplasm. Our Raman results demonstrated that cancer cell metabolism is altered following β-carotene supplementation, as reflected in changes to Raman bands associated with cytochrome

Indexed as

beta CaroteneBrain NeoplasmsAstrocytesAstrocytomaCell Line, TumorDietary SupplementsGlioblastomaHumansMitochondriaSpectrum Analysis, Ramanbeta Carotene

Identifiers

PMID40835572
PMCPMC12409892

What Socratic holds

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LicenceCC BY
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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 Socratic graph.