Key molecular networks underlying retinol's biphasic effects on cell proliferation through multi-omics integrative analysis using genome-scale metabolic modeling

钥匙(锁) 细胞生长 计算生物学 细胞 代谢网络 化学 细胞生物学 计算机科学 代谢活性 生物 系统生物学 代谢途径
作者
Peishuang He,G. M. Xiang,Yizhen Yan,Jiangming Zhong,Yuting Liang,Peng Shu,Hongzhong Lu
出处
期刊:Synthetic and Systems Biotechnology [Elsevier BV]
卷期号:15: 43-57
标识
DOI:10.1016/j.synbio.2026.03.021
摘要

Retinol is widely used in skin anti-aging, yet its effects exhibit significant concentration dependence. However, the underlying biphasic mechanism, that is low concentrations promote cell proliferation while high concentrations are inhibitory, remains incompletely understood. Here, we employed multi-omics analysis and genome-scale metabolic models (GEMs) to systematically infer the key molecular networks underlying the distinct effects of retinol concentrations on human foreskin fibroblasts (HFFs). Our results suggest that low retinol concentrations appear to promote proliferation by activating the canonical retinoic acid signaling pathway and inducing sophisticated metabolic reprogramming. This reprogramming appears to involve prioritizing the coenzyme NADPH for retinol processing and antioxidant defense, which is associated with a compensatory suppression of NADPH-consuming cholesterol biosynthesis. This metabolic shift may foster a favorable intracellular environment for growth. Conversely, high concentrations are linked to a multi-system injury cascade. The observed key feature likely involves significant oxidative stress, associated with the buildup of toxic metabolic intermediates and a pro-inflammatory lipid storm marked by elevated leukotrienes. These stress responses align with the signatures of ferroptosis, a form of programmed cell death characterized by glutathione (GSH) defense system collapse and downregulation of the key regulator GPX4 . Our findings suggest a potential mechanistic transition from a state of metabolic optimization to the activation of stress-induced injury pathways in response to varying retinol concentrations. This study provides a systems-level framework for understanding retinol's biphasic effects and highlights key regulatory nodes (e.g., DHRS3 , GCLM ) as potential targets for future research. These insights could contribute to developing safer and more effective retinol-based formulations in cosmetic and dermatological applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Miner发布了新的文献求助10
3秒前
4秒前
今后应助Bella采纳,获得10
4秒前
陈丽发布了新的文献求助20
4秒前
5秒前
酷波er应助太吾墨采纳,获得10
6秒前
科研通AI2S应助zyzyzy采纳,获得10
8秒前
8秒前
8秒前
田様应助年轻怀绿采纳,获得10
9秒前
junxu发布了新的文献求助10
9秒前
搜集达人应助zhang采纳,获得10
9秒前
10秒前
hailey完成签到,获得积分10
11秒前
风筝鱼完成签到 ,获得积分10
12秒前
12秒前
12秒前
13秒前
14秒前
14秒前
ykq完成签到,获得积分10
14秒前
anj发布了新的文献求助20
16秒前
dayuqi发布了新的文献求助20
17秒前
一顿能吃五大海碗完成签到,获得积分10
17秒前
开朗嵩发布了新的文献求助10
17秒前
17秒前
18秒前
18秒前
dkx发布了新的文献求助10
19秒前
hzj完成签到,获得积分10
19秒前
ss发布了新的文献求助10
19秒前
年轻怀绿发布了新的文献求助10
20秒前
木子木子粒完成签到 ,获得积分10
20秒前
DD完成签到,获得积分10
21秒前
六六发布了新的文献求助10
22秒前
25秒前
MH发布了新的文献求助10
26秒前
科研通AI2S应助Literaturecome采纳,获得10
26秒前
27秒前
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7336244
求助须知:如何正确求助?哪些是违规求助? 8950085
关于积分的说明 18992596
捐赠科研通 6989649
什么是DOI,文献DOI怎么找? 3217808
关于科研通互助平台的介绍 2383871
邀请新用户注册赠送积分活动 2197894