Evidence map›Paper›PMID 39866314›Full record

ArticleFrontiers in plant science2024

Geographical variation in metabolite profiles and bioactivity of

Fang Zhang, Guanglei Zhang, Cong Wang, Haonan Xu, Ke Che, Tingting Sun, Qisheng Yao, Youyi Xiong, Niannian Zhou, Mengyuan Chen and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

12 authors.

Fang Zhang *College of Life and Health Sciences, Anhui Science and Technology University, Fengyang, China.
Guanglei Zhang *College of Life and Health Sciences, Anhui Science and Technology University, Fengyang, China.
Cong Wang *Center of Molecular Metabolism, Nanjing University of Science and Technology, Nanjing, China.
Haonan Xu *College of Animal Science, Anhui Science and Technology University, Fengyang, China.
Ke CheSchool of Food Engineering, Anhui Science and Technology University, Fengyang, China.
Tingting SunSchool of Food Engineering, Anhui Science and Technology University, Fengyang, China.
Qisheng YaoPlanting Department, Jiuhua Huayuan Pharmaceutical Co., Ltd., Chuzhou, China.
Youyi XiongCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang, China.
Niannian ZhouCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang, China.
Mengyuan ChenSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Hao YuCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang, China.
Hao ChenCollege of Life and Health Sciences, Anhui Science and Technology University, Fengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to investigate the impact of geographical origin on the metabolite composition and bioactivity of Thesium chinense Turcz. (TCT), a member of the Apiaceae family renowned for its wide range of pharmacological properties, including antioxidant, antimicrobial, and anti-inflammatory effects. In this study, we investigated the whole plants of TCT from different regions in China, aiming to explore the geographical variation of TCT. Methods: A non-targeted metabolomics approach was employed using ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were utilized to identify and differentiate the metabolite profiles. We investigated the bioactivity, antioxidant activity, total flavonoid content (TFC), and the content of characteristic compounds from TCT sourced from different regions. This aims to further explore the metabolic differences and quality characteristics of TCT from various origins. Results: PCA and PLS-DA analyses indicated that samples from different origins could be clearly distinguished. The analysis revealed 54 differential metabolites, predominantly flavonoids and alkaloids. KEGG pathway analysis indicated significant variations in the biosynthesis pathways of flavonoids and flavanols among the samples. TCT from Anhui province exhibited the highest TFC and strongest antioxidant and anti-inflammatory activities, while samples from Jilin province showed the lowest. Discussion: A strong correlation was observed between metabolite content and geographical origins, suggesting that the bioactivity of TCT is significantly influenced by its provenance. Additionally, the antioxidant and anti-inflammatory activities of TCT were validated, showing a strong predictive relationship with TFC. This research highlights the potential of metabolomics in discerning the subtleties of plant metabolomes, contributing to the advancement of traditional Chinese medicine and its integration into modern healthcare practices.

Indexed as

anti-inflammatoryantioxidantgeographical variationsnon-targeted metabolomicsThesium chinense Turcz.total flavonoid contentUPLC-Q-TOF-MS/MS

Identifiers

PMID39866314
PMCPMC11760594

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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.