Evidence map›Paper›PMID 37909190›Full record

ArticleThe Eurasian journal of medicine2023

7,8-Dihydroxy Flavone Induces Apoptosis via Upregulation of Caspase-3 in Human Hepatocarcinoma Cell.

Gülsüm Abuşoğlu, Mukaddes İrem Durmuş, Serdar Karakurt

Open access · diamondAbstract read
In one paragraph

Article in The Eurasian journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Gülsüm AbuşoğluDepartment of Medical Laboratory Techniques, Selçuk University Vocational School of Health Sciences Medical Services and Techniques Institution, Konya, Turkey.
Mukaddes İrem DurmuşDepartment of Biochemistry, Selçuk University Faculty of Science, Konya, Turkey.
Serdar KarakurtDepartment of Biochemistry, Selçuk University Faculty of Science, Konya, Turkey.
Selçuk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective7,8-Dihydroxyflavone, a tyrosine kinase receptor agonist, is a flavonoid that has recently gained the attention of researchers due to its anticancer properties. Nevertheless, molecular pathways of 7,8-dihydroxyflavone for hepatocarcinoma are uncertain. Our aim was to identify the impact of 7,8-dihydroxyflavone on human hepatocarcinoma. MATERIAL AND

methodsHuman hepatocarcinoma cell line-7 cells were used as human hepatocarcinoma cells, and 7,8-dihydroxyflavone was applied to the cells at various doses. The cytotoxic and apoptotic effects of 7,8-dihydroxyflavone were determined with Alamar Blue and flow cytometry. The properties of 7,8-dihydroxyflavone on the mRNA expressions related with Bcl-2, Bax, cleaved-caspase-3 genes, and protein expressions were determined via quantitative real-time polymerase chain reaction and western blot analysis, respectively.

results7,8-Dihydroxyflavone-enhanced cell death in human hepatocarcinoma cell line-7 via the overexpression of cleaved-caspase-3 (P=.003) and decreased Bcl-2 (P=.038) protein levels. Furthermore, cleavedcaspase-3 mRNA overexpression (P=.001) markedly led to 7,8-dihydroxyflavone-induced apoptosis.

conclusion7,8-Dihydroxyflavone could promote apoptotic cell death by modulating caspase pathways and suppressing antiapoptotic protein. These characteristics may mediate to clinical practice of 7,8-dihydroxyflavone for prevention and therapy of hepatocarcinoma.

Identifiers

PMID37909190
PMCPMC10724746
OpenAlexW4387959096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.