ReviewFrontiers in plant science2024
Application of metabolomics in quality control of traditional Chinese medicines: a review.
Review 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 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Chemical Ontogeny in Plants: Developmental Dynamics of Specialized Metabolism and Implications for Ecology, Quality Control, and Bioprospecting.Plants (Basel, Switzerland) · 2026Review
- Multi-Platform Metabolomics for Fraud Detection in Spices and Botanical Food Supplements: From Fingerprint Acquisition to Decision-Grade Evidence.Molecules (Basel, Switzerland) · 2026Review
- Article
- Revolutionizing drug discovery from natural products: The roles of artificial intelligence and multi-omics in accelerating innovation.Acta pharmaceutica Sinica. B · 2026Article
- Environmental Shaping Suitable Habitats and Quality ofPlants (Basel, Switzerland) · 2026Article
- Artificial Intelligence-Enabled Intelligent Sensory Systems for Quality Evaluation of Traditional Chinese Medicine: A Review of Electronic Nose, Electronic Tongue, and Machine Vision Approaches.Molecules (Basel, Switzerland) · 2026Review
- Integrated metabolomic, network pharmacological, and molecular docking analyses comparing the therapeutic effects of Strobilanthes sarcorrhiza from different origins.Scientific reports · 2026Article
- Research Progress on the Insecticidal and Antibacterial Properties and Planting Applications of the Functional PlantPlants (Basel, Switzerland) · 2026Review
- Dosing of plant-derived extracellular vesicles in traditional Chinese medicine: current status, root causes, and standardization pathways.Frontiers in pharmacology · 2026Article
- Herbal medicines against avian infectious bronchitis virus: shared host-directed and multi-stage antiviral pathways.Frontiers in veterinary science · 2026Review
- Dynamic serum metabolomic changes during Chinese herbal hot compress therapy for postpartum uterine involution: pathway analysis and candidate biomarker identification.Frontiers in medicine · 2026Article
- Policy implications of WHO's Global traditional medicine strategy 2025-2034.Bulletin of the World Health Organization · 2025Article
- Exploring the Medicinal Potential ofMetabolites · 2025Article
- Medicine-food homology bioactives in Parkinson's disease: multi-target oxidative-stress modulation and translation to dietary supplements.Frontiers in nutrition · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant metabolites are the components endowing traditional Chinese medicine (TCM) with therapeutic effects, and, simultaneously, they are the primary targets for quality control. From germplasm selection and origin determination to field management, growth duration, harvesting and processing, and, finally, storage and transportation, each step profoundly influences TCM quality. The complexity of these plant or herb metabolites poses numerous quality control challenges. Metabolomics, as a comprehensive and systematic approach, has demonstrated value in this field. This technique not only meets the requirements for studying the complex mechanisms of TCM but also has significant advantages in identifying the TCM components, including active components. Therefore, in this article, several key factors affecting the chemical characteristics and quality traits of TCM, including their origin, harvesting period, medicinal parts, and processing methods, are researched. Additionally, the current challenges of integrating metabolomics with other omics technologies (transcriptomics, spatial metabolomics, etc.) are discussed. Furthermore, a future development trends and prospects are highlighted. With the continuous deepening of research and ongoing updates in technological capabilities, metabolomics will play an increasingly important role in the quality control of TCM, providing more scientific and robust support for quality assurance and safety evaluation.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.