Evidence map›Paper›PMID 41323819›Full record

ArticleFood science & nutrition2025

The Evolution of Gallic Acid in Aged White Tea and Its Potential Anti-Aging Mechanisms: An Integrated Study Combining Network Pharmacology and Computer Simulation.

Yanming Tuo, Xiaofeng Lu, Qingying Song, Ruiqi Huang, Jiapeng Huang, Huan Sun, Ningkai Liao, Yutao Shi, Liangyu Wu, Jinke Lin and 1 more

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

11 authors.

Yanming TuoCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.ORCID https://orcid.org/0009-0009-0872-8534
Xiaofeng LuCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Qingying SongCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Ruiqi HuangCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Jiapeng HuangCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Huan SunCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Ningkai LiaoCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Yutao ShiCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Liangyu WuCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Jinke LinCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.
Yunfei HuCollege of Horticulture Fujian Agriculture and Forestry University Fuzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging, characterized by a gradual decline in physiological function, is a major risk factor for chronic diseases. White tea, one of China's traditional tea types, exhibits various health benefits due to its unique chemical composition, with its anti-aging potential drawing increasing attention. Gallic acid (GA), one of the important bioactive components in white tea, possesses antioxidant and anti-inflammatory properties, but its anti-aging mechanisms remain unclear. In this study, high-performance liquid chromatography was used to analyze the evolution of GA content and to determine the antioxidant capacity of aged white tea. Results revealed that the GA content increased with storage time, accompanied by a corresponding enhancement in the antioxidant potency composite index (APC). Network pharmacology predicted 40 potential anti-aging targets of GA, and protein-protein interaction network analysis identified six key targets (MAOA, PTGS2, BCL2, APP, IGF1R, SERPINE1). Functional enrichment analysis indicated that the anti-aging effects of GA are mediated through multiple pathways, particularly those related to oxidative stress. Molecular docking results demonstrated that GA could bind effectively to the six key targets via hydrogen bonding and hydrophobic interactions. Furthermore, molecular dynamics simulations confirmed the binding stability of GA with MAOA, PTGS2, and BCL2. This study systematically elucidates the evolution of GA in aged white tea and its potential anti-aging mechanisms, providing a theoretical basis for the development of GA and aged white tea as functional anti-aging additives.

Indexed as

aginggallic acidmolecular dockingmolecular dynamics simulationnetwork pharmacologytea

Identifiers

PMID41323819
PMCPMC12663740

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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.