Evidence map›Paper›PMID 29417935›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Hydroxysafflor-Yellow A Induces Human Gastric Carcinoma BGC-823 Cell Apoptosis by Activating Peroxisome Proliferator-Activated Receptor Gamma (PPARγ).

Li Liu, Na Si, YiCong Ma, DongYu Ge, Xue Yu, AngRan Fan, Xu Wang, JingHong Hu, Peng Wei, Long Ma and 3 more

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Therapeutic potential of PPARγ natural agonists in liver diseases.Journal of cellular and molecular medicine · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Hydroxysafflor Yellow A: A Promising Therapeutic Agent for a Broad Spectrum of Diseases.Evidence-based complementary and alternative medicine : eCAM · 2018
    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

13 authors.

Li LiuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
Na SiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
YiCong MaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
DongYu GeSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
Xue YuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
AngRan FanSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
Xu WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
JingHong HuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
Peng WeiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
Long MaBeijing University of Chinese Medicine, School of Traditional Chinese Medicine, Beijing, China (mainland).
ZiWei ChenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
Qian ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China (mainland).
CuiLing FengDepartment of Traditional Chinese Medicine, Peking University People's Hospital, Beijing, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Anti-tumor properties of hydroxysafflor-yellow A (HSYA) have been recently revealed, as a series of apoptotic factors were confirmed to be regulated by HSYA and associated with peroxisome proliferator-activated receptor Gamma (PPARγ). In this study, we investigated the cell apoptosis mechanism of HSYA via activated PPARγ signal in human gastric carcinoma cells. MATERIAL AND METHODS BGC-823 cells were cultured and divided into 5 independent groups: Tumor, HSYA, HSYA+PPARγ inhibitor (GW9662), and PPARg agonist (RGZ), RGZ+GW9662. Cell proliferative activity was measured by MTT. Apoptosis and cell cycle were detected by flow cytometry. The nuclear translocation of PPARγ was detected by immunofluorescence staining chemistry, and mRNA levels of PPARγ and caspase-3 were measured by real-time qPCR. RESULTS Compared to the RGZ group, the HSYA group (100 µM) showed a similar inhibitory effect on the proliferation process of BGC-823 cells, inducing their apoptosis. As a result, the transition of BGC-823 cells from G0/G1 phase to S phase was blocked. HSYA was also found to promote the nuclear translocation of PPARγ, leading to increased expression of PPARγ and caspase-3. The regulatory effect of HSYA on BGC-823 cells could be further inhibited by PPARγ inhibitor in group GW9662. CONCLUSIONS We report the inhibitory effect of HSYA on the proliferation of BGC-823 cells, which results in activating PPARg-dependent cell cycle blocking and cell apoptosis, suggesting that PPARg is a specific type of HSYA that can induce apoptosis of BGC-823 cells.

Indexed as

ApoptosisCaspase 3Cell CycleCell Line, TumorCell NucleusCell ProliferationChalconeGene Expression Regulation, NeoplasticHumansNeovascularization, PathologicPPAR gammaProtein TransportQuinonesRNA, MessengerStaining and LabelingStomach NeoplasmsCaspase 3Chalconehydroxysafflor yellow APPAR gammaQuinonesRNA, Messenger

Identifiers

PMID29417935
PMCPMC5813879

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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 OpenQuestion graph.