TY - JOUR
T1 - A review of pathobiological mechanisms and potential application of medicinal plants for vascular aging
T2 - focus on endothelial cell senescence
AU - Barinda, Agian Jeffilano
AU - Arozal, Wawaimuli
AU - Yuasa, Shinsuke
N1 - Funding Information:
This work was supported by research grants from Magister Research Grant, Directorate General of Research Enhancement and Development, Ministry of Research Technology and Higher Education (NKB-926/UN2.RST/HKP.05.00/2022).We thank Leo Alfath Araysi for his excellent help on illustrated the figure.
Publisher Copyright:
© 2022 Authors.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - cellular senescence
KW - deep learning
KW - endothelial cells
KW - medicinal plants
UR - http://www.scopus.com/inward/record.url?scp=85137049831&partnerID=8YFLogxK
U2 - 10.13181/mji.rev.226064
DO - 10.13181/mji.rev.226064
M3 - Review article
AN - SCOPUS:85137049831
SN - 0853-1773
VL - 31
SP - 132
EP - 140
JO - Medical Journal of Indonesia
JF - Medical Journal of Indonesia
IS - 2
ER -