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1.
Chinese Journal of Natural Medicines (English Ed.) ; (6): 323-332, 2023.
Artículo en Inglés | WPRIM | ID: wpr-982704

RESUMEN

Pharmacodynamics material basis and effective mechanisms are the two main issues to decipher the mechnisms of action of Traditional Chinese medicines (TCMs) for the treatment of diseases. TCMs, in "multi-component, multi-target, multi-pathway" paradigm, show satisfactory clinical results in complex diseases. New ideas and methods are urgently needed to explain the complex interactions between TCMs and diseases. Network pharmacology (NP) provides a novel paradigm to uncover and visualize the underlying interaction networks of TCMs against multifactorial diseases. The development and application of NP has promoted the safety, efficacy, and mechanism investigations of TCMs, which then reinforces the credibility and popularity of TCMs. The current organ-centricity of medicine and the "one disease-one target-one drug" dogma obstruct the understanding of complex diseases and the development of effective drugs. Therefore, more attentions should be paid to shift from "phenotype and symptom" to "endotype and cause" in understanding and redefining current diseases. In the past two decades, with the advent of advanced and intelligent technologies (such as metabolomics, proteomics, transcriptomics, single-cell omics, and artificial intelligence), NP has been improved and deeply implemented, and presented its great value and potential as the next drug-discovery paradigm. NP is developed to cure causal mechanisms instead of treating symptoms. This review briefly summarizes the recent research progress on NP application in TCMs for efficacy research, mechanism elucidation, target prediction, safety evaluation, drug repurposing, and drug design.


Asunto(s)
Medicamentos Herbarios Chinos/farmacología , Farmacología en Red , Inteligencia Artificial , Medicina Tradicional China , Metabolómica
2.
Protein & Cell ; (12): 433-447, 2023.
Artículo en Inglés | WPRIM | ID: wpr-982561

RESUMEN

Molecular knowledge of human gastric corpus epithelium remains incomplete. Here, by integrated analyses using single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and single-cell assay for transposase accessible chromatin sequencing (scATAC-seq) techniques, we uncovered the spatially resolved expression landscape and gene-regulatory network of human gastric corpus epithelium. Specifically, we identified a stem/progenitor cell population in the isthmus of human gastric corpus, where EGF and WNT signaling pathways were activated. Meanwhile, LGR4, but not LGR5, was responsible for the activation of WNT signaling pathway. Importantly, FABP5 and NME1 were identified and validated as crucial for both normal gastric stem/progenitor cells and gastric cancer cells. Finally, we explored the epigenetic regulation of critical genes for gastric corpus epithelium at chromatin state level, and identified several important cell-type-specific transcription factors. In summary, our work provides novel insights to systematically understand the cellular diversity and homeostasis of human gastric corpus epithelium in vivo.


Asunto(s)
Humanos , Epigénesis Genética , Mucosa Gástrica/metabolismo , Cromatina/metabolismo , Células Madre , Epitelio/metabolismo , Proteínas de Unión a Ácidos Grasos/metabolismo
3.
Acta Pharmaceutica Sinica ; (12): 3300-3312, 2021.
Artículo en Chino | WPRIM | ID: wpr-906838

RESUMEN

Single cell "omics" technology enables the capture of genome, transcriptome, proteome and other omics information in a high-throughput and unbiased manner at single-cell resolution, allowing the characterization of the functional state of individual cells to reveal their heterogeneity and differential responses to drug treatment. This technology has wide application in pharmacological research, facilitating drug screening, efficacy evaluation, and mechanistic studies. We envision that, in the field of traditional Chinese medicine (TCM), single cell omics technology can be applied in the identification of active ingredients and drug targets, and elucidation of drug mechanism of action. In this article, we briefly introduce the single cell omics technology - particularly single cell transcriptome sequencing, and review its application in the field of modern drug research. Based on that, we propose the concept of "single cell pharmacology" and articulate how it can be applied to transform the pharmacological research of TCM and promote TCM modernization.

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