Evidence map›Paper›PMID 32796820›Full record

ArticleNutrition & diabetes2020

Gynura divaricata exerts hypoglycemic effects by regulating the PI3K/AKT signaling pathway and fatty acid metabolism signaling pathway.

Wenjun Xu, Zhongxia Lu, Xin Wang, Man Hei Cheung, Meiai Lin, Changyu Li, Yu Dong, Chun Liang, Yitao Chen

Open access · goldAbstract read
In one paragraph

Article in Nutrition & diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

  1. Molecules (Basel, Switzerland) · 2026
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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

9 authors at 3 institutions in 2 countries.

Wenjun Xu *College of Life Science, Zhejiang Chinese Medical University, 310053, Hangzhou, China.
Zhongxia Lu *College of Life Science, Zhejiang Chinese Medical University, 310053, Hangzhou, China.
Xin Wang *College of Life Science, Zhejiang Chinese Medical University, 310053, Hangzhou, China.
Man Hei CheungDivision of Life Science, Center for Cancer Research and State Key Lab for Molecular Neural Science, The Hong Kong University of Science and Technology, Hong Kong, China.
Meiai LinThe Second Clinical Medical College, Zhejiang Chinese Medical University, 310053, Hangzhou, China.
Changyu LiCollege of Life Science, Zhejiang Chinese Medical University, 310053, Hangzhou, China.
Yu DongZhejiang Academy of Traditional Chinese Medicine, 310053, Hangzhou, China. dongyu04428@163.com.ORCID http://orcid.org/0000-0003-0177-1678
Chun LiangDivision of Life Science, Center for Cancer Research and State Key Lab for Molecular Neural Science, The Hong Kong University of Science and Technology, Hong Kong, China. bccliang@ust.hk.ORCID http://orcid.org/0000-0003-2180-0931
Yitao ChenCollege of Life Science, Zhejiang Chinese Medical University, 310053, Hangzhou, China. cytworld@163.com.ORCID http://orcid.org/0000-0001-6351-6459
Zhejiang Chinese Medical University · CNHong Kong University of Science and Technology · HKHangzhou Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study aimed to examine the anti-diabetic effects of Gynura divaricata (GD) and the underlying mechanism.

methodsInformation about the chemical compositions of GD was obtained from extensive literature reports. Potential target genes were predicted using PharmMapper and analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO). To validate the results from bioinformatics analyses, an aqueous extract of GD was administered to type 2 diabetic rats established by feeding a high-fat and high-sugar diet followed by STZ injection. Key proteins of the PI3K/AKT signaling pathway and fatty acid metabolism signaling pathway were investigated by immunoblotting.

resultsThe blood glucose of the rats in the GD treatment group was significantly reduced compared with the model group without treatment. GD also showed activities in reducing the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood urea nitrogen (BUN), and creatinine (CREA). The levels of urine sugar (U-GLU) and urine creatinine (U-CREA) were also lowered after treatment with GD. Bioinformatics analysis showed that some pathways including metabolic pathways, insulin resistance, insulin signaling pathway, PPAR signaling pathway, bile secretion, purine metabolism, etc. may be regulated by GD. Furthermore, GD significantly increased the protein expression levels of PKM1/2, p-AKT, PI3K p85, and GLUT4 in the rat liver. In addition, the expression levels of key proteins in the fatty acid metabolism signaling pathway including AMPK, p-AMPK, PPARα, and CPT1α were significantly upregulated. The anti-apoptotic protein BCL-2/BAX expression ratio in rats was significantly upregulated after GD intervention. These results were consistent with the bioinformatics analysis results.

conclusionsOur study suggests that GD can exert hypoglycemic effects in vivo by regulating the genes at the key nodes of the PI3K/AKT signaling pathway and fatty acid metabolism signaling pathway.

Indexed as

AnimalsAsteraceaeBlood GlucoseDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Fatty AcidsHypoglycemic AgentsInsulinInsulin ResistanceLiverMalePhosphatidylinositol 3-KinasesPlant ExtractsProto-Oncogene Proteins c-aktRatsRats, Sprague-DawleyBlood GlucoseFatty AcidsHypoglycemic AgentsInsulinPhosphatidylinositol 3-KinasesPlant ExtractsProto-Oncogene Proteins c-akt

Identifiers

PMID32796820
PMCPMC7427804
OpenAlexW3049054905

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.