Evidence map›Paper›PMID 39766997›Full record

ArticleFoods (Basel, Switzerland)2024

Mass Spectrometry-Based Metabolomics Investigation on Two Different Seaweeds Under Arsenic Exposure.

Yuan-Sheng Guo, Shuo Gong, Si-Min Xie, An-Zhen Chen, Hong-Yu Jin, Jing Liu, Qi Wang, Shuai Kang, Ping Li, Feng Wei and 2 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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. Review
  2. 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

12 authors.

Yuan-Sheng GuoNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.
Shuo GongSchool of Integrative Medicine, Anhui University of Chinese Medicine, Hefei 230012, China.
Si-Min XieGuangzhou Institute for Drug Control, Key Laboratory for Quality Evaluation of Chinese Patent Medicine, National Medical Products Administration, Guangzhou 510160, China.
An-Zhen ChenQingdao Institute for Food and Drug Control, NMPA Key Laboratory for Quality Research and Evaluation of Traditional Marine Chinese Medicine, Qingdao 266073, China.
Hong-Yu JinNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.
Jing LiuNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.
Qi WangNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.
Shuai KangNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.
Ping LiSchool of Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Feng WeiNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.ORCID 0000-0002-7598-0723
Tian-Tian ZuoNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.
Shuang-Cheng MaNational Institutes for Food and Drug Control, State Key Laboratory of Drug Regulatory Science, Beijing 100050, China.

Funding

National Key Laboratory of Medicine Regulatory Science 2023SKLDRS0105NMPA Key Laboratory for Quality Research and Evaluation of Traditional Marine Chinese Medicine HYZY-KF-2022006Research Project on the Improvement of National Medicine Standards 2023Z07the National Key R&D Program 2022YFC3501500the National Key R&D Program 2023YFC3504100
6 · The paper itself

Abstract

Arsenic is a common toxic heavy metal contaminant that is widely present in the ocean, and seaweeds have a strong ability to concentrate arsenic, posing a potential risk to human health. This study first analyzed the arsenic content in two different seaweeds and then used an innovative method to categorize the seaweeds into low-arsenic and high-arsenic groups based on their arsenic exposure levels. Finally, a non-targeted metabolomic analysis based on mass spectrometry was conducted on seaweed from different arsenic exposure groups. The results indicated that as the arsenic concentration increased in the seaweeds, linolenic acid, tyrosine, pheophorbide a, riboflavin, and phenylalanine were upregulated, while arachidonic acid, eicosapentaenoic acid (EPA), betaine, and oleamide were downregulated. The following four key metabolic pathways involving unsaturated fatty acids and amino acids were identified: isoquinoline alkaloid biosynthesis, tyrosine metabolism, phenylalanine metabolism, and riboflavin metabolism. The identification of biomarkers and the characterization of key metabolic pathways will aid in the selection and breeding of low-arsenic-accumulating seaweed varieties, providing insights into the metabolic and detoxification mechanisms of arsenic in seaweeds.

Indexed as

arsenicLC-MSmetabolomicspathwaysseaweeds

Identifiers

PMID39766997
PMCPMC11675553

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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.