Functional lipidomics: Palmitic acid impairs hepatocellular carcinoma development by modulating membrane fluidity and glucose metabolism

脂质代谢 脂类学 生物 二酰甘油激酶 磷酸胆碱 脂滴 脂肪酸 脂质体 生物化学 PI3K/AKT/mTOR通路 癌细胞 棕榈酸 鞘脂 细胞生物学 化学 磷脂 癌症 信号转导 磷脂酰胆碱 蛋白激酶C 遗传学
作者
Ling Lin,Ying Ding,Yi Wang,Zhenxin Wang,Xuefei Yin,Guoquan Yan,Lei Zhang,Pengyuan Yang,Huali Shen
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:66 (2): 432-448 被引量:163
标识
DOI:10.1002/hep.29033
摘要

Lipids are essential cellular components and energy sources of living organisms, and altered lipid composition is increasingly recognized as a signature of cancer. We performed lipidomic analysis in a series of hepatocellular carcinoma (HCC) cells and identified over 1,700 intact lipids originating from three major lipid categories. Comparative lipidomic screening revealed that 93 significantly changed lipids and decreased palmitic acyl (C16:0)–containing glycerophospholipids were positively associated with metastatic abilities of HCC cells. Furthermore, both in vitro and in vivo experiments demonstrated that C16:0 incubation specifically reduced malignant cell proliferation, impaired cell invasiveness, and suppressed tumor growth in mouse xenograft models. Biochemical experiments demonstrated that C16:0 treatment decreased cell membrane fluidity and limited glucose metabolism. A phosphoproteomics approach further revealed such C16:0 incubation attenuated phosphorylation levels of mammalian target of rapamycin (mTOR) and signal transducer and activator of transcription 3 (STAT3) pathway proteins. Multiple reaction monitoring analysis of 443 lipid molecules showed 8 reduced C16:0‐containing lipids out of total 10 altered lipids when cancer tissues were compared with adjacent nontumor tissues in a cohort of clinical HCC specimens ( P < 0.05). Conclusion : These data collectively demonstrate the biomedical potential of using altered lipid metabolism as a diagnostic marker for cancerous cells and open an opportunity for treating aggressive HCCs by targeting altered C16:0 metabolism. (H epatology 2017;66:432–448).
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
格拉希尔完成签到 ,获得积分10
刚刚
直率的冰海完成签到,获得积分10
刚刚
英姑应助小刘采纳,获得10
1秒前
fanssw完成签到 ,获得积分10
1秒前
2秒前
小林完成签到 ,获得积分10
2秒前
2秒前
呱呱乐发布了新的文献求助10
3秒前
果果发布了新的文献求助10
3秒前
哭泣乌发布了新的文献求助10
3秒前
3秒前
ccm发布了新的文献求助10
3秒前
胡树发布了新的文献求助10
4秒前
害羞的花生完成签到,获得积分20
4秒前
情怀应助Jasmine采纳,获得10
4秒前
4秒前
4秒前
清脆从蓉完成签到,获得积分20
4秒前
xywang完成签到,获得积分10
4秒前
寄寄寄寄寄了完成签到,获得积分20
5秒前
关琦完成签到,获得积分10
5秒前
陈琳完成签到,获得积分10
5秒前
长情箴完成签到 ,获得积分10
6秒前
zhanzhanzhan完成签到,获得积分10
6秒前
Elytra完成签到,获得积分10
6秒前
6秒前
我是老大应助G浅浅采纳,获得10
7秒前
gu完成签到,获得积分10
7秒前
7秒前
所所应助梅梅超勇敢采纳,获得10
8秒前
吴兰田完成签到,获得积分10
8秒前
清秀送终发布了新的文献求助10
8秒前
8秒前
六叶草完成签到,获得积分10
9秒前
louxiaohan完成签到,获得积分10
9秒前
9秒前
BruceQ完成签到,获得积分10
9秒前
满意的龙猫完成签到,获得积分10
9秒前
陶醉的迎海完成签到,获得积分20
10秒前
Burke完成签到 ,获得积分10
10秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
On translated images, stereotypes and disciplines 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834256
求助须知:如何正确求助?哪些是违规求助? 3376847
关于积分的说明 10495379
捐赠科研通 3096271
什么是DOI,文献DOI怎么找? 1704904
邀请新用户注册赠送积分活动 820296
科研通“疑难数据库(出版商)”最低求助积分说明 771940