ArticleScientific reports2022
Metabolomics-based profiling of 4 avocado varieties using HPLC-MS/MS and GC/MS and evaluation of their antidiabetic activity.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 36 citations in OpenAlex.
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- Influence of Certain Natural Bioactive Compounds on Glycemic Control: A Narrative Review.Nutrients · 2025Review
- Targeting Acinetobacter baumannii lipase by coniferous species through metabolomics supported approach.Scientific reports · 2025Article
- Study of the early metabolic characteristics in patients undergoing sleeve gastrectomy for the treatment of obesity and type 2 diabetes mellitus (T2DM) using high-performance liquid chromatography combined with high-resolution mass spectrometry via metabolomics technology.Archives of endocrinology and metabolism · 2025Article
- Authentication of Edible Oil by Real-Time One Class Classification Modeling.Foods (Basel, Switzerland) · 2025Article
- The dark side of avocados: a review of anthracnose and stem-end rot in postharvest fruit.Frontiers in microbiology · 2025Review
- Article
- Characterization of carotenoids and flavonoids in Yangxian pigmented rice varieties through LC‒MS/MS-based targeted metabolomics and multivariate statistics.Current research in food science · 2025Article
- Evaluation of Unsaponifiable Fraction of Avocado Oil on Liver and Kidney Mitochondrial Function in Rats Fed a High-Fat and High-Carbohydrate Diet.Metabolites · 2024Article
- Metabolite Profiling ofPlants (Basel, Switzerland) · 2024Article
- Assisted Reductive Amination for Quantitation of Tryptophan, 5-Hydroxytryptophan, and Serotonin by Ultraperformance Liquid Chromatography Coupled with Tandem Mass Spectrometry.Molecules (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Seven avocado "Persea americana" seeds belonging to 4 varieties, collected from different localities across the world, were profiled using HPLC-MS/MS and GC/MS to explore the metabolic makeup variabilities and antidiabetic potential. For the first time, 51 metabolites were tentatively-identified via HPLC-MS/MS, belonging to different classes including flavonoids, biflavonoids, naphthodianthrones, dihydrochalcones, phloroglucinols and phenolic acids while 68 un-saponified and 26 saponified compounds were identified by GC/MS analysis. The primary metabolic variabilities existing among the different varieties were revealed via GC/MS-based metabolomics assisted by unsupervised pattern recognition methods. Fatty acid accumulations were proved as competent, and varietal-discriminatory metabolites. The antidiabetic potential of the different samples was explored using in-vitro amylase and glucosidase inhibition assays, which pointed out to Gwen (KG) as the most potent antidiabetic sample. This could be attributed to its enriched content of poly-unsaturated fatty acids and polyphenolics. Molecular docking was then performed to predict the most promising phytoligands in KG variety to be posed as antidiabetic drug leads. The highest in-silico α-amylase inhibition was observed with chrysoeriol-4'-O-pentoside-7-O-rutinoside, apigenin-7-glucuronide and neoeriocitrin which might serve as potential drug leads for the discovery of new antidiabetic remedies.
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