Systematically Revealing Quantitative Multi-Target Integrative Effects of Plants With Artificial Intelligence Method
Qi-Yu J., Tian-Ai R., Xin-Yu F., Hui-Yan Z.
Laboratory Study, published in Plant Biotechnol J (2025) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Laboratory Study
- Journal
- Plant Biotechnol J (2025)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 40824771
- PMCID
- PMC12665060
- DOI
- 10.1111/pbi.70321
Abstract (original English)
Many plants have multiple chemical components and multiple targets, and their potential effects on diseases are the integrative effects of multiple targets. How to systematically reveal the integrated multi-targets effect of plants on diseases is not only a challenge, but also an innovation. This study developed a novel research method based on artificial intelligence and took hawthorn as an example; a deep auto-encoding neural network model was used to encode the expression levels of multiple common targets between hawthorn and atherosclerosis in each cell of the single-cell transcriptome of atherosclerotic perivascular adipose tissue (PVAT) as an integrated value (MTIS). The landscape and quantitative mapping of multi-targets potential integrated effect of plants on disease at the single-cell level would be achieved based on this innovative approach, and in-depth analysis such as MTIS comparisons, MTIS-pseudotime difference analysis, cell communication analysis, and immune infiltration analysis, was performed to reveal the potential mechanism and landscapes of hawthorn on the PVAT microenvironment of atherosclerotic. Due to many plants for disease having multiple chemical compositions and multiple targets, the novel method proposed in this study may have a wide range of applications.
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
How we grade evidenceBrowse all related research
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