Exploration of the multiomics-based mechanisms of Gancao Nourishing-Yin decoction in regulating mitochondrial metabolic genes CYB5R3 and PICK1 to influence glioma progression

汤剂 基因 线粒体 医学 生物 神经科学 遗传学 传统医学
作者
Yufeng Chen,Anjing Zhang,Lei Li,Kai Xiao,Weiming Mao
出处
期刊:Discover Oncology [Springer Nature]
卷期号:16 (1)
标识
DOI:10.1007/s12672-025-02168-0
摘要

Glioma is the most common malignancy of the central nervous system, characterised by its high invasiveness and recurrence, which significantly limit therapeutic outcomes. Energy metabolism reprogramming, especially mitochondrial dysfunction, plays a pivotal role in tumour growth, survival, and progression. Mitochondria serve as the central hub for energy production and biosynthesis, adapting through alterations in oxidative phosphorylation, lipid metabolism, and the tricarboxylic acid cycle to meet the high metabolic demands of gliomas. Gancao Nourishing-Yin (GCNY) decoction, a traditional herbal compound, has demonstrated potential antitumour effects, particularly in modulating mitochondrial metabolic pathways and oxidative stress, which are critical for tumour cell adaptation. Genomic data from the glioma GWAS dataset in the Finnish R11 database and eQTL data from 13 distinct brain regions were analysed using Summary-data-based Mendelian Randomization(SMR) to identify glioma-associated genes. MitoCarta3.0, a database of mitochondrial genes, was used to pinpoint mitochondrial-related genes. Differentially expressed genes (DEGs) in human microglial cells treated with GCNY were extracted from the GEO dataset GSE210945 and cross-referenced with SMR results to identify key genes. Colocalisation analysis, validation using the TCGA database, survival analysis, and functional annotations of mitochondrial energy pathways were performed to explore the mechanisms of action. Integration of SMR and MitoCarta3.0 identified 19 mitochondrial-related genes linked to gliomas, primarily involved in amino acid and fatty acid metabolism. Among these, CYB5R3 and PICK1 emerged as key genes with strong genetic links to glioma GWAS signals (PPH4 = 1). CYB5R3, upregulated in gliomas, was associated with enhanced oxidative phosphorylation, elevated reactive oxygen species (ROS) production, and poor survival outcomes (HR = 2.23, P < 0.001). PICK1, despite being downregulated, showed context-dependent roles in mitochondrial energy metabolism and tumour progression, with its high expression linked to worse prognosis (HR = 2.86, P < 0.001). PICK1 demonstrated moderate predictive capacity for one-year survival (AUC = 0.695). This study highlights the critical roles of mitochondrial energy metabolism in glioma progression, identifying CYB5R3 and PICK1 as key regulators influenced by GCNY. By modulating mitochondrial pathways, including ROS production and oxidative phosphorylation activity, GCNY offers a novel multitarget strategy for glioma therapy. These findings underscore the importance of energy metabolism as a therapeutic target in gliomas and provide new insights into the potential of GCNY for integrated tumour management.
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
刚刚
lanruo应助liuwenjie采纳,获得10
刚刚
zz完成签到,获得积分10
刚刚
慕青应助hrr采纳,获得10
刚刚
露风清夏完成签到,获得积分10
2秒前
张铭宇完成签到,获得积分10
3秒前
梨梨完成签到,获得积分10
3秒前
orixero应助天青111采纳,获得10
3秒前
3秒前
3秒前
害羞大雁完成签到,获得积分10
4秒前
活泼的飞扬完成签到,获得积分10
5秒前
JamesPei应助xueqiu采纳,获得10
5秒前
FashionBoy应助liuwenjie采纳,获得10
5秒前
大个应助冷傲摇伽采纳,获得10
6秒前
6秒前
living发布了新的文献求助10
6秒前
molihuakai应助eyeland采纳,获得10
6秒前
6秒前
小黑米完成签到,获得积分20
7秒前
FashionBoy应助SweetNanchu采纳,获得10
7秒前
八宝粥发布了新的文献求助10
7秒前
CR7应助Cyyyy采纳,获得20
8秒前
9秒前
10秒前
小黑米发布了新的文献求助10
11秒前
12秒前
12秒前
七听应助sha采纳,获得60
12秒前
来点文献发布了新的文献求助10
13秒前
在水一方应助nav采纳,获得10
13秒前
大佬发布了新的文献求助10
13秒前
13秒前
看满天星河完成签到 ,获得积分10
13秒前
15秒前
15秒前
lobster应助乃惜采纳,获得10
15秒前
16秒前
暮雨乘风发布了新的文献求助10
16秒前
xueqiu发布了新的文献求助10
16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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781381
求助须知:如何正确求助?哪些是违规求助? 9321169
关于积分的说明 20381677
捐赠科研通 7369212
什么是DOI,文献DOI怎么找? 3320035
关于科研通互助平台的介绍 2467849
邀请新用户注册赠送积分活动 2335930