Evidence map›Paper›PMID 25084985›Full record

ArticleMolecular and cellular biochemistry2014

ELF-MF attenuates quercetin-induced apoptosis in K562 cells through modulating the expression of Bcl-2 family proteins.

Fabrizia Brisdelli, Francesca Bennato, Argante Bozzi, Benedetta Cinque, Fabrizio Mancini, Roberto Iorio

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Article in Molecular and cellular biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  7. Review
  8. Review
  9. Proteomic Analysis of Quercetin-Treated K562 Cells.International journal of molecular sciences · 2019
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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.

Fabrizia BrisdelliDepartment of Biotechnological and Applied Clinical Science, University of L'Aquila, Via Vetoio, Coppito 2, 67100, L'Aquila, Italy, fabrizia.brisdelli@cc.univaq.it.
Francesca Bennato
Argante Bozzi
Benedetta Cinque
Fabrizio Mancini
Roberto Iorio
University of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effects of sinusoidal ELF-MF (1 mT; 50 Hz) on the apoptosis induced by four different compounds, namely vinblastine, etoposide, quercetin, and resveratrol, in human K562 chronic myeloid leukemia cells. The exposure to ELF-MF did not affect growth and viability of untreated K562 cells and did not influence the anti-proliferative effects of resveratrol, vinblastine, and etoposide. On the contrary, in quercetin-treated cells, exposure to ELF-MF significantly reduced the percentage of apoptotic cells and the caspase-3 activity and modified the cell cycle profile especially after 48 h of exposure. In addition, the simultaneous treatments for 24 h with quercetin plus ELF-MF increased Bcl-2 protein expression and prevented quercetin-induced downregulation of Mcl-1 and Bcl-xL. Finally, an increase of HSP70 expression was also observed after prolonged ELF-MF treatment. The ELF-MF-dependent modulation of the expression of anti-apoptotic Bcl-2 family and Hsp70 proteins could act as a pro-survival mechanism in K562 cells.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveMagnetic FieldsAntioxidantsApoptosisbcl-X ProteinCaspase 3Down-RegulationGene Expression Regulation, LeukemicHumansK562 CellsProto-Oncogene Proteins c-bcl-2QuercetinAntioxidantsBCL2L1 protein, humanBCL2 protein, humanbcl-X ProteinCASP3 protein, humanCaspase 3Proto-Oncogene Proteins c-bcl-2Quercetin

Identifiers

PMID25084985
OpenAlexW2052352926

What OpenQuestion holds

Textmetadata
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.