Open access · CC-BY
via OpenAlex
Potential senotherapeutic candidates and their combinations derived from transcriptional connectivity and network measures
Amirhossein Nayeri Rad, Golnaz Shams, Roberto A. Avelar, Mohammad Hossein Morowvat, Younes Ghasemi
Informatics in Medicine Unlocked · 2022 · ▲ 5 citations
Abstract
Cellular senescence(definition), a state of permanent cell cycle arrest, is associated with organismal aging and malfunctioning. Various attempts have been made to find a unified gene signature for all senescence models in every cell type. However, with more studies being conducted, none look to be universally shared; instead, it seems that the senescence gene signature is cell-type specific. In the present study, 74 genes commonly expressed in different models of fibroblast senescence, derived from two independent studies were extracted. The shared signature of fibroblast senescence, which was functionally associated with aging, was further regarded as a target module to attenuate the fibroblast senescence phenotype. Utilizing Connectivity Map to discover the inversely connected compounds with this gene signature and analyzing network proximity of the targets of the inversely connected compounds with fibroblast senescence genes, we suggest glutamine, tangeretin, artemisinin, and castanospermine as potential senescence therapeutics. Moreover, to overcome this impaired gene expression system, we suggest the combination of glutamine with one of tangeretin, artemisinin, or castanospermine, that obey the complementary exposure pattern to reach better therapeutic efficacy while manifesting minimal adverse effects.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1016/j.imu.2022.100920
- Canonical
- link ↗
- Fetched
- 2026-08-03 MST
Cite this
APA
Rad, A.N., Shams, G., Avelar, R.A., Morowvat, M.H., & Ghasemi, Y. (2022). Potential senotherapeutic candidates and their combinations derived from transcriptional connectivity and network measures. <em>Informatics in Medicine Unlocked</em>. https://doi.org/10.1016/j.imu.2022.100920
Vancouver
Rad AN, Shams G, Avelar RA, Morowvat MH, Ghasemi Y. Potential senotherapeutic candidates and their combinations derived from transcriptional connectivity and network measures. Informatics in Medicine Unlocked. 2022. doi:10.1016/j.imu.2022.100920.
BibTeX
@article{amirhossein2022Potent,
title = {Potential senotherapeutic candidates and their combinations derived from transcriptional connectivity and network measures},
author = {Amirhossein Nayeri Rad and Golnaz Shams and Roberto A. Avelar and Mohammad Hossein Morowvat and Younes Ghasemi},
journal = {Informatics in Medicine Unlocked},
year = {2022},
doi = {10.1016/j.imu.2022.100920},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
European journal of pharmacology 2025
Citation only
Fisetin and resveratrol exhibit senotherapeutic effects and suppress cellular senescence in osteoarthritic cartilage-derived chondrogenic progenitor cells.
The EMBO Journal 2026
Open access · CC-BY
SenFlag gene signature identifies senescent cells in mouse and human tissues through a conserved core transcriptional program
Stem Cells 2016
Open access · OA
NANOG Reverses the Myogenic Differentiation Potential of Senescent Stem Cells by Restoring ACTIN Filamentous Organization and SRF-Dependent Gene Expression
Aging 2016
Open access · CC-BY
Reversal of phenotypes of cellular senescence by pan-mTOR inhibition
Cell Communication and Signaling 2023
Open access · CC-BY
Meta-analysis of senescent cell secretomes to identify common and specific features of the different senescent phenotypes: a tool for developing new senotherapeutics
npj Aging 2025
Open access · CC-BY