Evidence map›Paper›PMID 39272451›Full record

ArticleFoods (Basel, Switzerland)2024

The Potential Mechanisms of Catechins in Tea for Anti-Hypertension: An Integration of Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation.

Yanming Tuo, Xiaofeng Lu, Fang Tao, Marat Tukhvatshin, Fumin Xiang, Xi Wang, Yutao Shi, Jinke Lin, Yunfei Hu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Decoding Barberry Root's Therapeutic Network: A Synergistic Solution for IBS-D.Combinatorial chemistry & high throughput screening · 2026
    Article
  7. Article
  8. Article
  9. Mechanism ofRenal failure · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Yanming TuoCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0009-0009-0872-8534
Xiaofeng LuCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Fang TaoCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0009-0003-4873-074X
Marat TukhvatshinCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Fumin XiangCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Xi WangCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Yutao ShiCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0003-2560-7143
Jinke LinCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0003-4349-3530
Yunfei HuAnxi College of Tea Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0002-1177-703X

Funding

Teaching and Research Team Fund Project of Fujian Agriculture and Forestry University 111418T05The Construction of Anxi Modern Agricultural Industrial Park (KMD18003A) KMD18003A
6 · The paper itself

Abstract

Catechins, a class of polyphenolic compounds found in tea, have attracted significant attention due to their numerous health benefits, particularly for the treatment and protection of hypertension. However, the potential targets and mechanisms of action of catechins in combating hypertension remain unclear. This study systematically investigates the anti-hypertensive mechanisms of tea catechins using network pharmacology, molecular docking, and molecular dynamics simulation techniques. The results indicate that 23 potential anti-hypertensive targets for eight catechin components were predicted through public databases. The analysis of protein-protein interaction (PPI) identified three key targets (MMP9, BCL2, and HIF1A). KEGG pathway and GO enrichment analyses revealed that these key targets play significant roles in regulating vascular smooth muscle contraction, promoting angiogenesis, and mediating vascular endothelial growth factor receptor signaling. The molecular docking results demonstrate that the key targets (MMP9, BCL2, and HIF1A) effectively bind with catechin components (CG, GCG, ECG, and EGCG) through hydrogen bonds and hydrophobic interactions. Molecular dynamics simulations further confirmed the stability of the binding between catechins and the targets. This study systematically elucidates the potential mechanisms by which tea catechins treat anti-hypertension and provides a theoretical basis for the development and application of tea catechins as functional additives for the prevention of hypertension.

Indexed as

catechinshypertensionmolecular dockingmolecular dynamics simulationnetwork pharmacologytea

Identifiers

PMID39272451
PMCPMC11394219

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.