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Computational identification of natural senotherapeutic compounds that mimic dasatinib based on gene expression data
Franziska Meiners, Burkhard Hinz, Lars Boeckmann, Riccardo Secci, Salem Oduro Beffi Sueto, Lars Kuepfer, Georg Fuellen, Israel Barrantes
Scientific Reports · 2024 · ▲ 17 citations
Abstract
The major risk factor for chronic disease is chronological age, and age-related chronic diseases account for the majority of deaths worldwide. Targeting senescent cells that accumulate in disease-related tissues presents a strategy to reduce disease burden and to increase healthspan(definition). The senolytic combination of the tyrosine-kinase inhibitor dasatinib and the flavonol quercetin is frequently used in clinical trials aiming to eliminate senescent cells. Here, our goal was to computationally identify natural senotherapeutic repurposing candidates that may substitute dasatinib based on their similarity in gene expression effects. The natural senolytic piperlongumine (a compound found in long pepper), and the natural senomorphics parthenolide, phloretin and curcumin (found in various edible plants) were identified as potential substitutes of dasatinib. The gene expression changes underlying the repositioning highlight apoptosis-related genes and pathways. The four compounds, and in particular the top-runner piperlongumine, may be combined with quercetin to obtain natural formulas emulating the dasatinib + quercetin formula.
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- 10.1038/s41598-024-55870-4
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- 2026-06-15 MST
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APA
Meiners, F., Hinz, B., Boeckmann, L., Secci, R., Sueto, S.O.B., Kuepfer, L., Fuellen, G., & Barrantes, I. (2024). Computational identification of natural senotherapeutic compounds that mimic dasatinib based on gene expression data. <em>Scientific Reports</em>. https://doi.org/10.1038/s41598-024-55870-4
Vancouver
Meiners F, Hinz B, Boeckmann L, Secci R, Sueto SOB, Kuepfer L, et al. Computational identification of natural senotherapeutic compounds that mimic dasatinib based on gene expression data. Scientific Reports. 2024. doi:10.1038/s41598-024-55870-4.
BibTeX
@article{franziska2024Comput,
title = {Computational identification of natural senotherapeutic compounds that mimic dasatinib based on gene expression data},
author = {Franziska Meiners and Burkhard Hinz and Lars Boeckmann and Riccardo Secci and Salem Oduro Beffi Sueto and Lars Kuepfer and Georg Fuellen and Israel Barrantes},
journal = {Scientific Reports},
year = {2024},
doi = {10.1038/s41598-024-55870-4},
}
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