Evidence map›Paper›PMID 37251316›Full record

ArticleFrontiers in pharmacology2023

A funnel-type stepwise filtering strategy for identification of potential Q-markers of traditional Chinese medicine formulas.

Yuhang Jiang, Mengying Chen, Hongchuan Gang, Xuejiao Li, Chuanjia Zhai, Zhiyang Feng, Gan Luo, Xiaoyan Gao

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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.

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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

8 authors.

Yuhang JiangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Mengying ChenSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Hongchuan GangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Xuejiao LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Chuanjia ZhaiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Zhiyang FengSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Gan LuoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Xiaoyan GaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality marker (Q-marker) serves as an important driver for the standardization of quality control in traditional Chinese medicine (TCM) formulas. However, it is still challenging to discover comprehensive and representative Q-markers. This study aimed to identify Q-markers of Hugan tablet (HGT), a famous TCM formula with ideal clinical effects in liver diseases. Here, we proposed a funnel-type stepwise filtering strategy that integrated secondary metabolites characterization, characteristic chromatogram, quantitative analysis, literature mining, biotransformation rules and network analysis. Firstly, the strategy of "secondary metabolites-botanical drugs-TCM formula" was applied to comprehensively identify the secondary metabolites of HGT. Then, the secondary metabolites with specificity and measurability in each botanical drug were identified by HPLC characteristic chromatogram, biosynthesis pathway and quantitative analysis. Based on literature mining, the effectiveness of botanical metabolites that met the above conditions was evaluated. Furthermore, the metabolism of the above metabolites

Indexed as

characteristic chromatogramhugan tabletsnetwork analysisquality markersquantitative analysisUPLC-Q-exactive-orbitrap/MS

Identifiers

PMID37251316
PMCPMC10213786

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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.