Evidence map›Paper›PMID 40346394›Full record

ArticleAnalytical and bioanalytical chemistry2025

Integrating metabolite-based molecular networking with database matching and LC-MS-guided targeted isolation for the discovery of novel chemical constituents: application to Euphorbia helioscopia L.

Tianren Wu, Yaling Deng, Weijia Hu, Caihong Bai, Han Yu, Kaifeng Hu

Abstract read
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Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Tianren WuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Yaling DengSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Weijia HuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Caihong BaiSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Han YuSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Kaifeng HuInnovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Avenue, Wenjiang District, Chengdu, Sichuan, 611137, China. kaifenghu@cdutcm.edu.cn.ORCID http://orcid.org/0000-0002-2343-2012

Funding

Chengdu University of Traditional Chinese Medicine 242022007Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine ZYYCXTD-D-202209National Natural Science Foundation of China 22374012National Natural Science Foundation of China 32171440Sichuan Provincial Science and Technology Support Program 2025ZNSFSC0591
6 · The paper itself

Abstract

Molecular networking (MN) analysis facilitates the targeted discovery of novel constituents and enhances the understanding of natural products. While various molecular networks could reduce the effects of redundant nodes, current research is still limited by the interference from the same and coeluted metabolites, including isotopic peaks, a variety of adduct ions, in-source fragmentations, and dehydration. This research proposes a novel strategy: stratified precursor lists (SPLs)-guided Metabolite-Based Molecular Networking (MBMN), which ensures a high-quality MS

Indexed as

EuphorbiaMetabolomicsPlant ExtractsTandem Mass SpectrometryChromatography, LiquidDatabases, FactualLiquid Chromatography-Mass SpectrometryPlant ExtractsCompound discoveryEuphorbia helioscopia L.LC-MS-guided targeted isolationMetabolite-based molecular networkStratified precursor lists

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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.