Evidence map›Paper›PMID 21503668›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2011

Soy-derived isoflavones inhibit HeLa cell growth by inducing apoptosis.

Jun-Xia Xiao, Guo-Qing Huang, Xin Geng, Hong-Wei Qiu

Abstract read
PubMed Publisher
In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Flavonoids from the stems ofJournal of advanced research · 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

4 authors at 1 institution in 1 country.

Jun-Xia XiaoSchool of Food Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China. achievexiao@yahoo.cn
Guo-Qing Huang
Xin Geng
Hong-Wei Qiu
Qingdao Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isoflavones are among the major bioactive compounds found in a wide variety of plant-derived foods, especially in soybeans and soy-based foods. In this study, the effect of a soy-derived isoflavone mixture (designated as SI-I, containing 71% daidzein, 14.3% genistein and 14.7% glycitein) on HeLa cells and its mechanism were investigated. SI-I in concentration range 5-80 μg/ml significantly reduced the survival rate of HeLa cells by MTT assay, whereas showed no side effect on that of L929 cells. After HeLa cells were exposed to 10, 20 and 40 μg/ml SI-I for 4 days, typical apoptotic morphological changes, including nuclear fragmentation, cytoplasm shrinkage and decrease of cell volume, were observed by fluorescence microscope and CLSM, respectively. FCM analysis revealed that the percentages of early apoptotic cells with lost Δψm increased by 2.27, 2.74 and 4.05 folds respectively, compared with control. The results showed that SI-I inhibited HeLa cell growth through inducing apoptosis via the mitochondrial pathway and comparisons with reported data indicated that synergistic effect existed between the isoflavone species contained in SI-I. It is proposed that natural soy-derived isoflavones are potential candidates as chemotherapeutic agents against human cervical cancer.

Indexed as

Antineoplastic Agents, PhytogenicApoptosisCell ProliferationFemaleGenisteinGlycine maxHeLa CellsHumansIsoflavonesMembrane Potential, MitochondrialMicroscopy, FluorescenceMitochondriaUterine Cervical NeoplasmsAntineoplastic Agents, PhytogenicdaidzeinGenisteinglyciteinIsoflavones

Identifiers

PMID21503668
OpenAlexW2003478761

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.