Evidence map›Paper›PMID 37065828›Full record

ReviewFrontiers in chemistry2023

Mass spectrometry-based metabolomics for discovering active ingredients and exploring action mechanism of herbal medicine.

Sifan Guo, Shi Qiu, Ying Cai, Zhibo Wang, Qiang Yang, Songqi Tang, Yiqiang Xie, Aihua Zhang

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Analysis of the Chemical Composition ofMolecules (Basel, Switzerland) · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Profiling of phytochemicals inRSC advances · 2025
    Article
  9. Article
  10. An Investigation of the Anticancer Mechanism ofPlants (Basel, Switzerland) · 2025
    Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
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.

Sifan GuoInternational Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China.
Shi QiuInternational Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China.
Ying CaiGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Zhibo WangGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Qiang YangGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Songqi TangInternational Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China.
Yiqiang XieInternational Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China.
Aihua ZhangInternational Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products derived from herbal medicine are a fruitful source of lead compounds because of their structural diversity and potent bioactivities. However, despite the success of active compounds derived from herbal medicine in drug discovery, some approaches cannot effectively elucidate the overall effect and action mechanism due to their multi-component complexity. Fortunately, mass spectrometry-based metabolomics has been recognized as an effective strategy for revealing the effect and discovering active components, detailed molecular mechanisms, and multiple targets of natural products. Rapid identification of lead compounds and isolation of active components from natural products would facilitate new drug development. In this context, mass spectrometry-based metabolomics has established an integrated pharmacology framework for the discovery of bioactivity-correlated constituents, target identification, and the action mechanism of herbal medicine and natural products. High-throughput functional metabolomics techniques could be used to identify natural product structure, biological activity, efficacy mechanisms, and their mode of action on biological processes, assisting bioactive lead discovery, quality control, and accelerating discovery of novel drugs. These techniques are increasingly being developed in the era of big data and use scientific language to clarify the detailed action mechanism of herbal medicine. In this paper, the analytical characteristics and application fields of several commonly used mass spectrometers are introduced, and the application of mass spectrometry in the metabolomics of traditional Chinese medicines in recent years and its active components as well as mechanism of action are also discussed.

Indexed as

biomarkerherbal medicinemass spectrometrymechanismMetabolomictarget

Identifiers

PMID37065828
PMCPMC10102349

What OpenQuestion holds

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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.