Evidence map›Paper›PMID 38707921›Full record

ArticleJournal of traditional and complementary medicine2024

The characterization of traditional Chinese medicine natures and flavors using network pharmacology integrated strategy.

Hong Wang, Wenfeng Wei, Jing Liu, Shuang Zhang, Yunli Zhao, Zhiguo Yu

Abstract read
In one paragraph

Article in Journal of traditional and complementary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Evaluation of the impact of Roclaglamide on MDA-MB-231 human breast adenocarcinoma cells by cell culture and molecular approaches.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
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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.

Hong WangDepartment of Pharmaceutical Analysis, College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Wenfeng WeiDepartment of Pharmaceutical Analysis, College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Jing LiuDepartment of Pharmaceutical Analysis, College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Shuang ZhangDepartment of Pharmaceutical Analysis, College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Yunli ZhaoDepartment of Pharmaceutical Analysis, College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Zhiguo YuDepartment of Pharmaceutical Analysis, College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Due to the complexity of TCM ingredients and medication compatibility, TCM cannot be used like chemical medicines. The theory of "Four Natures and five Flavors" provides a theoretical basis for the use of TCM. "Four Natures and five Flavors" are originated from pharmacological rules based on clinical practices. Whereas, How to describe and characterize "Natures"(Warm, Hot, Cold and Cool) and "Flavors" (Pungent, Sour, Sweet, Bitter and Salty) scientifically remain the issue that needs to be solved. The aim of this study is to establish the TCM characterization models based on the integrated pharmacology network strategy and provide a deeper understanding of TCM theory. Experimental procedure: Five "Pungent-Neutral", nine "Sweet-Neutral and nine "Bitter-Neutral" TCMs were selected to characterize the "Flavors" (Pungent, Sweet and Bitter). Nine "Pungent-Warm" and nine "Bitter-Cold" TCMs were selected to characterize the "Natures" (Warm and Cold). The screened chemical ingredients were analyzed by classification and the screened characteristics targets were analyzed by GO and KEGG enrichment analysis. Results and conclusion: In the "Pungent" group, flavonoids are the most. "Pungent" may have immune-regulatory effects and potential anticancer activity. In the "Sweet" group, isoflavones are the most. "Sweet" are related to effectively invigorate health. Fatty acids in the "Warm" group are the most. Flavonoids in the "Cold' group are far more than other components. "Warm" and "Cold" are both related to fatty acid and energy metabolism.

Indexed as

FlavorsNaturesNetwork pharmacologyNeutral medicineTraditional Chinese medicine

Identifiers

PMID38707921
PMCPMC11068986

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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.