AIMC Topic: Flavonoids

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Discrimination of Citri reticulatae pericarpium (CP) and Citrus reticulata 'chachi' (GCP): Focus on HPTLC, UHPLC techniques combined with machine learning and content differences of three specific flavonoids.

Journal of chromatography. A
The global consumption of Citri reticulatae pericarpium (Chenpi, CP) and Citrus reticulata 'chachi' (Guangchenpi, GCP) has been experiencing a steady increase, driven by its extensive applications in healthcare, flavoring, and therapeutic fields. Whi...

Predictive modeling of flavonoid efficacy against esophageal carcinoma: a comprehensive approach.

Scientific reports
Esophageal carcinoma poses a significant health challenge, particularly due to its notably high prevalence in East Asia, which underscores the urgent need for innovative treatment strategies. Natural flavonoids are polyphenolic compounds with signifi...

Selective cytotoxicity of anhydroicaritin in ER-positive breast cancer via ESR1-mediated MAPK and apoptotic signaling.

Chemico-biological interactions
Anhydroicaritin (AHI), a chemically characterized prenylated flavonoid, exhibits strong and selective cytotoxicity against estrogen receptor-positive (ER+) breast cancer cells. In this study, we aimed to elucidate its molecular and cellular toxicolog...

In silico Techniques for the Investigation of Bioactive Compounds in Quinoa (Chenopodium quinoa Willd.): Recent Advances in Molecular Modeling and Identification of Therapeutic Targets.

Plant foods for human nutrition (Dordrecht, Netherlands)
Quinoa (Chenopodium quinoa Willd.) is a valuable source of bioactive compounds with therapeutic potential, including peptides, saponins, and polyphenols. In recent years, in silico tools have emerged as key strategies for predicting, characterizing, ...

Colorimetric sensor array for flavonoids recognition based on peroxidase-like FeCo nanosheet.

Food chemistry
Flavonoids themselves have antioxidant, anti-inflammatory, anticancer, and antiviral effects, so it is necessary to conduct rapid, efficient, and intelligent identification and quantitative analysis of flavonoids. Herein, based on the differential co...

Machine learning intelligently selects feature values to construct a sensor array based on tri-functional Mn-doped covalent organic polymer nanozymes for identifying flavonoid compounds.

Food chemistry
Herein, a novel tri-functional Mn-doped covalent organic polymer nanozyme (Mn-COP) with peroxidase-like, oxidase-like, and laccase-like activities was synthesized. The strong reducing power of flavonoids inhibited the tri-enzymes-like activity from M...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Scientific reports
Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mechanisms by which HBV triggers HCC and how it interacts with the immune system remain largely undefined. In this study, 53 immune-related key genes invol...

Unraveling potent Glycyrrhiza glabra flavonoids as AKT1 inhibitors using network pharmacology and machine learning-assisted QSAR.

Molecular diversity
Glycyrrhiza glabra (G. glabra) phytocompounds have been reported to interact with neurological targets, including those implicated in epilepsy, and may modulate epilepsy-related targets. While substantial evidence supports their potential antiepilept...

Machine learning assisted nanozyme sensor array for accurate identification and discrimination of flavonoids in healthy tea.

Food chemistry
Identifying flavonoids in herbs is of great significance for elucidating their biological activity and pharmacological effects. However, distinguishing and detecting multiple flavonoids simultaneously remains a challenge. Here, an innovative citric a...

Quantitative non-volatile sensometabolome of Longjing tea and discrimination of taste quality by sensory analysis, large-scale quantitative metabolomics and machine learning.

Food chemistry
Study on quantitative non-volatile sensometabolome of Longjing tea remains lacked. Herein, the taste and molecular features of 42 Longjing tea samples were analyzed by sensory quantitative analysis and quantitative metabolomics. A comprehensive lands...