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Updated: Sep 11, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Systematically Revealing Quantitative Multi-Target Integrative Effects of Plants With Artificial Intelligence Method.

Jiang Qi-Yu1, Ren Tian-Ai2, Fan Xin-Yu1

  • 1Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Plant Biotechnology Journal
|August 18, 2025
PubMed
Summary

This study introduces an AI method to analyze how hawthorn

Keywords:
Pseudotime difference analysisatherosclerosiscell communicationimmune infiltrationperivascular adipose tissuesingle‐cell transcriptome artificial intelligence

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Area of Science:

  • Biomedical Science
  • Computational Biology
  • Pharmacology

Background:

  • Plants possess multiple chemical components targeting various disease pathways.
  • Understanding the integrated multi-target effects of botanicals on diseases is complex.
  • Atherosclerosis involves intricate cellular and molecular interactions within the perivascular adipose tissue (PVAT) microenvironment.

Purpose of the Study:

  • To develop a novel artificial intelligence (AI)-based method for assessing the integrated multi-target effects of plants on diseases at a single-cell level.
  • To investigate the potential mechanisms and landscape of hawthorn's effects on the atherosclerotic PVAT microenvironment.

Main Methods:

  • Utilized a deep auto-encoding neural network to encode single-cell transcriptome data.
  • Quantified the integrated multi-target effect of hawthorn on atherosclerosis using a Multi-Target Integrated Score (MTIS).
  • Performed single-cell level analyses including MTIS comparisons, pseudotime analysis, cell communication, and immune infiltration.

Main Results:

  • Developed and applied a novel AI approach to map the integrated effects of hawthorn on atherosclerotic PVAT at the single-cell level.
  • Revealed potential mechanisms underlying hawthorn's influence on the PVAT microenvironment through multi-target analysis.
  • Demonstrated the capability of the MTIS to quantitatively assess plant-derived multi-target effects.

Conclusions:

  • The developed AI method enables systematic, single-cell level analysis of integrated multi-target effects of botanicals.
  • Hawthorn exhibits potential mechanisms influencing the atherosclerotic PVAT microenvironment.
  • This novel approach has broad applicability for studying multi-component, multi-target plant-based therapies in various diseases.