Medical Journal of Indonesia Vol. 31 No. 2 2022 FKUI
Review Article A Review of Pathobiological Mechanisms and Potential Application of Medicinal Plants for Vascular Aging: Focus on Endothelial Cell Senescence
Dublin Core
Title
Medical Journal of Indonesia Vol. 31 No. 2 2022 FKUI
Review Article A Review of Pathobiological Mechanisms and Potential Application of Medicinal Plants for Vascular Aging: Focus on Endothelial Cell Senescence
Review Article A Review of Pathobiological Mechanisms and Potential Application of Medicinal Plants for Vascular Aging: Focus on Endothelial Cell Senescence
Subject
artificial intelligence, cellular senescence, deep learning, endothelial cells,
medicinal plants
medicinal plants
Description
Endothelial cell (EC) senescence plays a pivotal role in aging and is essential for the
pathomechanism of aging-related diseases. Drugs targeting cellular senescence, such
as senolytic or senomorphic drugs, may prevent aging and age-related diseases, but
these bullets remain undeveloped to target EC senescence. Some medicinal plants may
have an anti-senescence property but remain undiscovered. Deep learning has become
an emerging approach for drug discovery by simply analyzing cellular morphology-
based deep learning. This precious tool would be useful for screening the herb
candidate in senescent EC rejuvenescence. Of note, several medicinal plants that can
be found in Indonesia such as Curcuma longa L., Piper retrofractum, Guazuma ulmifolia
Lam, Centella asiatica (L.) Urb., and Garcinia mangostana L. might potentially possess
an anti-senescence effect. This review highlighted the importance of targeting EC
senescence, the use of deep learning for medicinal plant screening, and some potential
anti-senescence plants originated in Indonesia.
pathomechanism of aging-related diseases. Drugs targeting cellular senescence, such
as senolytic or senomorphic drugs, may prevent aging and age-related diseases, but
these bullets remain undeveloped to target EC senescence. Some medicinal plants may
have an anti-senescence property but remain undiscovered. Deep learning has become
an emerging approach for drug discovery by simply analyzing cellular morphology-
based deep learning. This precious tool would be useful for screening the herb
candidate in senescent EC rejuvenescence. Of note, several medicinal plants that can
be found in Indonesia such as Curcuma longa L., Piper retrofractum, Guazuma ulmifolia
Lam, Centella asiatica (L.) Urb., and Garcinia mangostana L. might potentially possess
an anti-senescence effect. This review highlighted the importance of targeting EC
senescence, the use of deep learning for medicinal plant screening, and some potential
anti-senescence plants originated in Indonesia.
Creator
Agian Jeffilano Barinda, Wawaimuli Arozal, Shinsuke Yuasa
Date
July 25, 2022
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Citation
Agian Jeffilano Barinda, Wawaimuli Arozal, Shinsuke Yuasa, “Medical Journal of Indonesia Vol. 31 No. 2 2022 FKUI
Review Article A Review of Pathobiological Mechanisms and Potential Application of Medicinal Plants for Vascular Aging: Focus on Endothelial Cell Senescence,” Repository Horizon University Indonesia, accessed November 10, 2024, https://repository.horizon.ac.id/items/show/1051.
Review Article A Review of Pathobiological Mechanisms and Potential Application of Medicinal Plants for Vascular Aging: Focus on Endothelial Cell Senescence,” Repository Horizon University Indonesia, accessed November 10, 2024, https://repository.horizon.ac.id/items/show/1051.