Evidence map›Paper›PMID 38817340›Full record

ArticleJournal of analytical methods in chemistry2024

Analysis of an Aqueous Extract from Turkish Galls Based on Multicomponent Qualitative and Quantitative Analysis Combined with Network Pharmacology and Chemometric Analysis.

Ya Zeng, Lu Zhao, Meng Hao, Mirzat Maimaiti, Zhi Li, Minghui Zhang, Xuan Ma

Abstract read
In one paragraph

Article in Journal of analytical methods in chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Cytotoxicity and Coagulation Effects of Methanolic Extracts ofJournal of experimental pharmacology · 2026
    Article
  3. 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

7 authors.

Ya ZengXinjiang Qimu Pharmaceutical Research Institute (Co., Ltd.), Urumqi 830011, Xinjiang, China.ORCID https://orcid.org/0000-0003-0195-5100
Lu ZhaoXinjiang Qimu Pharmaceutical Research Institute (Co., Ltd.), Urumqi 830011, Xinjiang, China.ORCID https://orcid.org/0000-0001-5617-7727
Meng HaoNew Cicon Pharmaceutical Co., Ltd., Urumqi 830011, Xinjiang, China.
Mirzat MaimaitiNew Cicon Pharmaceutical Co., Ltd., Urumqi 830011, Xinjiang, China.
Zhi LiXinjiang Qimu Pharmaceutical Research Institute (Co., Ltd.), Urumqi 830011, Xinjiang, China.
Minghui ZhangXinjiang Qimu Pharmaceutical Research Institute (Co., Ltd.), Urumqi 830011, Xinjiang, China.
Xuan MaNew Cicon Pharmaceutical Co., Ltd., Urumqi 830011, Xinjiang, China.ORCID https://orcid.org/0000-0001-7987-0479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current quality control method for Turkish gall (TG) is limited to assessing total tannin or gallic acid (GA), which offers a basic level of quality control but does not fully capture the true quality of TG. Therefore, it is essential to establish a comprehensive method that utilizes multiple indicators to assess the intrinsic quality of TG. This research utilized UPLC-Q-TOF-MS/MS technology to qualitatively analyze the chemical composition of TG. Subsequently, the potential main active ingredients, targets, and pathways of TG in treating recurrent aphthous ulcers (RAU) were explored and analyzed using network pharmacology technology. Quantitative analysis of multicomponents by single marker (QAMS) was then employed to quantify the primary pharmacodynamic components in TG. Finally, chemometrics analysis was utilized to interpret the measured results and identify the markers of scavenging quality. The study identified 36 chemical components in TG, highlighting ellagic acid (EA), GA, and so on as key components in treating RAU. A method for simultaneously determining GA, EA, 1,2,3,6-tetra-O-galloyl-

Identifiers

PMID38817340
PMCPMC11139529

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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.