Evidence map›Paper›PMID 38274718›Full record

ArticleWorld journal of oncology2024

Viability Profiles of Normal and Cancer Bladder Cells With Metformin, Nitrate and Adenosine Monophosphate-Activated Protein Kinase Inhibitor.

Haitham Abdelmoaty, Sonya Good, Tuan Phan

Open access · diamondAbstract read
In one paragraph

Article in World journal of oncology, 2024. 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
0.2field-weighted citation impact, top 47% 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, 1 citations in OpenAlex.

  1. Review
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.

Haitham AbdelmoatyDepartment of Chemistry, Texas Southern University, Houston, TX, USA.
Sonya GoodDepartment of Chemistry, Texas Southern University, Houston, TX, USA.
Tuan PhanDepartment of Chemistry, Texas Southern University, Houston, TX, USA.
Texas Southern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is no literature report on how metformin and adenosine monophosphate-activated protein kinase (AMPK) inhibitor affect normal and cancer bladder cells under the presence of nitrate. Methods: Various treatment concentrations and methods were used to study the effects of nitrate, metformin, and/or AMPK inhibitor on normal and/or cancer bladder cells. Normal bladder cells were exposed to nitrate or metformin alone or in combination. The effects of AMPK on normal bladder cells were investigated with nitrate and metformin pretreatment. The effects of varying metformin concentrations on cancer bladder cells were examined as well. Results: Metformin has produced almost no changes in cell viability of normal cells with various concentrations. Addition of both nitrate and metformin at the same time resulted in less than 17% cell viability as compared to the controlled values; however, this value is about 10% better than nitrate alone for 24 h and approximate 27% better for 48 h. Pre-treatment of normal cells with AMPK inhibitor for 6 h prior to addition of metformin and nitrate reduced the cell viability greatly. The treatment of cancer bladder cells with metformin indicated an inverse relationship between metformin concentration and cancer bladder cell viability. Conclusion: Metformin assisted normal bladder cells in surviving in the presence of nitrate, but its total survival was greatly reduced by AMPK inhibitors. Metformin inhibited the growth of bladder cancer cells.

Indexed as

Adenosine monophosphate-activated protein kinaseBladder cancerEpithelial bladder cellsMetforminNitrate

Identifiers

PMID38274718
PMCPMC10807917
OpenAlexW4391043504

What OpenQuestion holds

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LicenceCC BY-NC
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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.