Evidence map›Paper›PMID 27841365›Full record

ArticleScientific reports2016

Systems pharmacology exploration of botanic drug pairs reveals the mechanism for treating different diseases.

Wei Zhou, Jinan Wang, Ziyin Wu, Chao Huang, Aiping Lu, Yonghua Wang

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  12. Centipeda minima active components and mechanisms in lung cancer.BMC complementary medicine and therapies · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
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  18. Efficacy and Pharmacological Mechanism ofFrontiers in pharmacology · 2022
    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

6 authors.

Wei ZhouKey Laboratory of Xinjiang Endemic Phytomedicine Resources, Ministry of Education; Pharmacology Department, School of Pharmacy, Shihezi University, Shihezi, Xinjiang, China.
Jinan WangKey Laboratory of Xinjiang Endemic Phytomedicine Resources, Ministry of Education; Pharmacology Department, School of Pharmacy, Shihezi University, Shihezi, Xinjiang, China.
Ziyin WuKey Laboratory of Xinjiang Endemic Phytomedicine Resources, Ministry of Education; Pharmacology Department, School of Pharmacy, Shihezi University, Shihezi, Xinjiang, China.
Chao HuangKey Laboratory of Xinjiang Endemic Phytomedicine Resources, Ministry of Education; Pharmacology Department, School of Pharmacy, Shihezi University, Shihezi, Xinjiang, China.
Aiping LuInstitute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Guanghua Integrative Medicine Hospital/Shanghai University of T.C.M, Shanghai 200052, China.
Yonghua WangKey Laboratory of Xinjiang Endemic Phytomedicine Resources, Ministry of Education; Pharmacology Department, School of Pharmacy, Shihezi University, Shihezi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-herb therapy has been widely used in Traditional Chinese medicine and tailored to meet the specific needs of each individual. However, the potential molecular or systems mechanisms of them to treat various diseases have not been fully elucidated. To address this question, a systems pharmacology approach, integrating pharmacokinetics, pharmacology and systems biology, is used to comprehensively identify the drug-target and drug-disease networks, exemplified by three representative Radix Salviae Miltiorrhizae herb pairs for treating various diseases (coronary heart disease, dysmenorrheal and nephrotic syndrome). First, the compounds evaluation and the multiple targeting technology screen the active ingredients and identify the specific targets for each herb of three pairs. Second, the herb feature mapping reveals the differences in chemistry and pharmacological synergy between pairs. Third, the constructed compound-target-disease network explains the mechanisms of treatment for various diseases from a systematic level. Finally, experimental verification is taken to confirm our strategy. Our work provides an integrated strategy for revealing the mechanism of synergistic herb pairs, and also a rational way for developing novel drug combinations for treatments of complex diseases.

Indexed as

Biological AvailabilityDatabases, PharmaceuticalDrug CombinationsDrugs, Chinese HerbalDrug SynergismHumansModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationPhytotherapySystems BiologyDrug CombinationsDrugs, Chinese Herbal

Identifiers

PMID27841365
PMCPMC5107896

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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.