Study on the Mechanism of Anti-Atopic Dermatitis by Herba Siegesbeckiae Based on Metabolomics.

IF 1.6 4区医学 Q4 BIOCHEMICAL RESEARCH METHODS

Combinatorial chemistry & high throughput screening Pub Date : 2025-02-04 DOI:10.2174/0113862073345094241226112758

YingYue Wang, Xiaowei Chen, Lingling Zhang, Yuting Chen, Yubin Xu, Chunxue You, Xuetao Lu

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引用次数: 0

Abstract

Background: Atopic dermatitis is a common inflammatory skin disease worldwide that is characterized by skin barrier dysfunction, itching, and a reduced quality of life.

Objective: The research at hand aimed to delve into the anti-atopic dermatitis mechanism of Herba Siegesbeckiae, a traditional medicinal herb, using a metabolomic approach.

Methods: The molecular mechanism by which Herba Siegesbeckiae acts against atopic dermatitis was investigated by establishing a mouse model of atopic dermatitis while conducting a metabolomics analysis on its metabolites.

Results: Interleukin IL-13, IL-17A, IL-3, IL-31, IL-33, IL4, IL-5, TSLP, IgE, and histamine levels in serum, participating in inhibiting itching and regulating immunity signaling were found to be restored to varying degrees in AD treating with HS. A total of 31 differential metabolites were selected from metabolomics results, among which N-acetyl-L-alanine (VIP = 1.62), Nacetyl- L-methionine (VIP = 1.5), uracil (VIP = 1.47), and prostaglandin E2 (VIP = 1.4) play important roles in the anti-AD regulatory mechanisms of HS and can be used as biomarkers. In addition, the mechanisms of HS anti-AD have been shown to be associated with seven metabolic pathways, including β-alanine metabolism, glycerophospholipid metabolism, histidine metabolism, and so on.

Conclusion: In conclusion, HS demonstrated properties that counteract Atopic Dermatitis by suppressing itchiness and boosting the immune system, subsequently controlling the concentrations of related metabolites.

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来源期刊

Combinatorial chemistry & high throughput screening 化学-生化研究方法

CiteScore

3.10

自引率

5.60%

发文量

327

审稿时长

7.5 months

期刊介绍： Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.