ArticleJournal of natural products2017
Comparison of Metabolomics Approaches for Evaluating the Variability of Complex Botanical Preparations: Green Tea (Camellia sinensis) as a Case Study.
Article in Journal of natural products, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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Who cites it
29 citing papers in PubMed.
- A new database to guide reference material selection for dietary supplement and nutrition science.Analytical and bioanalytical chemistry · 2025Article
- Mechanisms of intestinal pharmacokinetic natural product-drug interactions.Drug metabolism reviews · 2024Review
- Green Tea Catechins Decrease Solubility of Raloxifene In Vitro and Its Systemic Exposure in Mice.Pharmaceutical research · 2024Article
- Co-consuming green tea with raloxifene decreases raloxifene systemic exposure in healthy adult participants.Clinical and translational science · 2023Article
- Anticancer Therapeutic Effects of Green Tea Catechins (GTCs) When Integrated with Antioxidant Natural Components.Molecules (Basel, Switzerland) · 2023Review
- What if using certified reference materials (CRMs) was a requirement to publish in analytical/bioanalytical chemistry journals?Analytical and bioanalytical chemistry · 2022Article
- Green Tea Catechins: Nature's Way of Preventing and Treating Cancer.International journal of molecular sciences · 2022Review
- Recent Developments in Metabolomics Studies of Endophytic Fungi.Journal of fungi (Basel, Switzerland) · 2021Review
- Guide to Semi-Quantitative Non-Targeted Screening Using LC/ESI/HRMS.Molecules (Basel, Switzerland) · 2021Review
- Development of an NMR-Based Platform for the Direct Structural Annotation of Complex Natural Products Mixtures.Journal of natural products · 2021Article
- Interlaboratory Comparison of Untargeted Mass Spectrometry Data Uncovers Underlying Causes for Variability.Journal of natural products · 2021Article
- Natural products in drug discovery: advances and opportunities.Nature reviews. Drug discovery · 2021Review
- Non-targeted and targeted metabolomics profiling of tea plants (Camellia sinensis) in response to its intercropping with Chinese chestnut.BMC plant biology · 2021Article
- UHPLC-(ESI)-HRMS and NMR-Based Metabolomics Approach to Access the Seasonality ofFrontiers in chemistry · 2021Article
- The Importance of Reference Materials and Method Validation for Advancing Research on the Health Effects of Dietary Supplements and Other Natural Products.Frontiers in nutrition · 2021Review
- Chemometric-Guided Approaches for Profiling and Authenticating Botanical Materials.Frontiers in nutrition · 2021Review
- Comparison of phytochemical composition of Ginkgo biloba extracts using a combination of non-targeted and targeted analytical approaches.Analytical and bioanalytical chemistry · 2020Article
- Identification of adulteration in botanical samples with untargeted metabolomics.Analytical and bioanalytical chemistry · 2020Article
- Chemical Evaluation of the Effects of Storage Conditions on the Botanical Goldenseal using Marker-based and Metabolomics Approaches.The Yale journal of biology and medicine · 2020Article
- "Natural" is not synonymous with "Safe": Toxicity of natural products alone and in combination with pharmaceutical agents.Regulatory toxicology and pharmacology : RTP · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
A challenge that must be addressed when conducting studies with complex natural products is how to evaluate their complexity and variability. Traditional methods of quantifying a single or a small range of metabolites may not capture the full chemical complexity of multiple samples. Different metabolomics approaches were evaluated to discern how they facilitated comparison of the chemical composition of commercial green tea [Camellia sinensis (L.) Kuntze] products, with the goal of capturing the variability of commercially used products and selecting representative products for in vitro or clinical evaluation. Three metabolomic-related methods-untargeted ultraperformance liquid chromatography-mass spectrometry (UPLC-MS), targeted UPLC-MS, and untargeted, quantitative
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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.