Evidence map›Paper›PMID 23362329›Full record

ArticleMolecular & cellular proteomics : MCP2013

Metabolomics coupled with proteomics advancing drug discovery toward more agile development of targeted combination therapies.

Xijun Wang, Aihua Zhang, Ping Wang, Hui Sun, Gelin Wu, Wenjun Sun, Haitao Lv, Guozheng Jiao, Hongying Xu, Ye Yuan and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 159 citations in OpenAlex.

  1. Review
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  5. Review
  6. Article
  7. Article
  8. Deciphering the mechanism of action of antitubercular compounds with metabolomics.Computational and structural biotechnology journal · 2021
    Review
  9. Article
  10. Article
  11. The Medicinal Plant PairFrontiers in pharmacology · 2019
    Article
  12. Article
  13. Mechanism ofMolecules (Basel, Switzerland) · 2018
    Article
  14. Article
  15. Article
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  17. Review
  18. Article
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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

23 authors at 1 institution in 1 country.

Xijun WangNational TCM Key Lab of Serum Pharmacochemistry, Key Lab of Chinmedomics, Heilongjiang University of Chinese Medicine and Key Pharmacometabolomic Platform of Chinese Medicines, Heping Road 24, Harbin 150040, China. xijunwangls@126.com
Aihua Zhang
Ping Wang
Hui Sun
Gelin Wu
Wenjun Sun
Haitao Lv
Guozheng Jiao
Hongying Xu
Ye Yuan
Lian Liu
Dixin Zou
Zeming Wu
Ying Han
Guangli Yan
Wei Dong
Fangfang Wu
Tianwei Dong
Yang Yu
Shuxiang Zhang
Xiuhong Wu
Xin Tong
Xiangcai Meng
Heilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enhance the therapeutic efficacy and reduce the adverse effects of traditional Chinese medicine, practitioners often prescribe combinations of plant species and/or minerals, called formulae. Unfortunately, the working mechanisms of most of these compounds are difficult to determine and thus remain unknown. In an attempt to address the benefits of formulae based on current biomedical approaches, we analyzed the components of Yinchenhao Tang, a classical formula that has been shown to be clinically effective for treating hepatic injury syndrome. The three principal components of Yinchenhao Tang are Artemisia annua L., Gardenia jasminoids Ellis, and Rheum Palmatum L., whose major active ingredients are 6,7-dimethylesculetin (D), geniposide (G), and rhein (R), respectively. To determine the mechanisms underlying the efficacy of this formula, we conducted a systematic analysis of the therapeutic effects of the DGR compound using immunohistochemistry, biochemistry, metabolomics, and proteomics. Here, we report that the DGR combination exerts a more robust therapeutic effect than any one or two of the three individual compounds by hitting multiple targets in a rat model of hepatic injury. Thus, DGR synergistically causes intensified dynamic changes in metabolic biomarkers, regulates molecular networks through target proteins, has a synergistic/additive effect, and activates both intrinsic and extrinsic pathways.

Indexed as

MetabolomeAnimalsAnthraquinonesBiomarkersDrug Evaluation, PreclinicalDrugs, Chinese HerbalDrug SynergismDrug Therapy, CombinationIridoidsLiverLiver DiseasesMaleMedicine, Chinese TraditionalMetabolomicsMolecular Targeted TherapyProteome6,7-dimethylaesculetinAnthraquinonesBiomarkersDrugs, Chinese HerbalgeniposideIridoidsProteomerheinUmbelliferonesyin-chen-hao-tang

Identifiers

PMID23362329
PMCPMC3650334
OpenAlexW2036798783

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.