Evidence map›Paper›PMID 24952587›Full record

ArticleBMC complementary and alternative medicine2014

Increasing effect of Tangzhiqing formula on IRS-1-dependent PI3K/AKT signaling in muscle.

Jing Gao, Jian Li, Yating An, Xuefeng Liu, Qian Qian, Yanlin Wu, Yi Zhang, Tao Wang

Abstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  10. Review
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  12. Potential Hypoglycaemic and Antiobesity Effects ofEvidence-based complementary and alternative medicine : eCAM · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Erythropoietin and diabetes mellitus.World journal of diabetes · 2015
    Review
  18. Review
  19. Article
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

8 authors.

Jing Gao
Jian Li
Yating An
Xuefeng Liu
Qian Qian
Yanlin Wu
Yi ZhangTianjin State Key Laboratory of Modern Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China. zhwwxzh@263.net.
Tao Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTangzhiqing fomula (TZQ-F), the mixture of Red Paeony root, Mulberry leaf, Lotus leaf, Danshen root and Hawthorn leaf, regulates the abnormal glucose and lipids in prediabetic patients. In this study, we focus on the mechanism of TZQ-F and its fractions on glucose metabolism.

methodsAfter orally administration of TZQ-F for 4 weeks in KK-Ay mice, we dissected out the liver and muscle, and employed PCR and western blotting to screening the PI3K/AKT pathway. The following PI3K/AKT signaling pathway were performed in L-6 myotube and HepG2 cells.

resultsIn the liver of KK-Ay mice, no significance was observed on PI3K, AKT and their phosphorylation between TZQ-F and controls , while, in the muscle, up-regulation of PI3K, AKT, Glycogen synthase (GYS) and their phosphorylation type, as well as GluT4, was deteced in TZQ-F. In HepG2 cells, TZQ-F increased IRS-2 by 10 folds, without interrupting AKT, IRS-1 and GluT4. In L-6 myotube cells, TZQ-F and its fractions treatment significantly increased IRS-1 and AKT at mRNA level.

conclusionTZQ-F prevents pre-diabetes through increasing effect on IRS-1-dependent PI3K/AKT signaling pathway in muscle.

Indexed as

AnimalsCell LineDrugs, Chinese HerbalEnzyme ActivationFemaleGene ExpressionGlucose Transporter Type 4Glycogen SynthaseHep G2 CellsHumansHypoglycemic AgentsInsulin Receptor Substrate ProteinsLiverMaleMiceMice, Inbred C57BLDrugs, Chinese HerbalGlucose Transporter Type 4Glycogen SynthaseHypoglycemic AgentsInsulin Receptor Substrate ProteinsPhosphatidylinositol 3-KinasestangzhiqingTriglycerides

Identifiers

PMID24952587
PMCPMC4096524

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Registered trials

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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.