亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Quantitative measurement of pioglitazone in neoplastic and normal tissues by AP-MALDI mass spectrometry imaging

化学 吡格列酮 质谱法 色谱法 噻唑烷二酮 质谱成像 样品制备 医学 内分泌学 糖尿病 2型糖尿病
作者
Lavinia Morosi,Cristina Matteo,Marina Meroni,Tommaso Ceruti,Ilaria Fuso Nerini,Ezia Bello,Roberta Frapolli,Maurizio D’Incalci,Massimo Zucchetti,Enrico Davoli
出处
期刊:Talanta [Elsevier BV]
卷期号:237: 122918-122918 被引量:15
标识
DOI:10.1016/j.talanta.2021.122918
摘要

Pioglitazone is a Peroxisome Proliferator-Activated Receptor (PPAR) agonist of the thiazolidinedione class of compounds with promising anticancer activity. An innovative quantitative mass spectrometry imaging (MSI) method and a HPLC-UV method were developed and validated to investigate its distribution in tumor and liver tissues. The MSI method is based on stable isotope normalization and resulted highly specific and sensitive (0.2 pmol/spot). The correct identification of the drug ion signal is confirmed by MS/MS analysis on tissue. The method shows an optimal lateral resolution (25 μm) relying on the ionization efficiency and fine laser diameter of the atmospheric pressure MALDI source. The HPLC-UV method is simple and straightforward involving quick protein precipitation and shows good sensitivity (50ng/sample) using a small starting volume of biological sample. Thus, it is applicable to samples obtained from both preclinical models and clinical surgical procedures. MSI and HPLC-UV assays were validated assessing linearity, intra- and inter-day precision and accuracy, limit of quantification, selectivity and recovery. These are the first methods developed and validated for the analysis of pioglitazone in tissues, and they were applied successfully to myxoid liposarcoma xenograft-bearing mice, which received clinically relevant drug doses. Pioglitazone was measured by either method in sections of tumor and liver 2, 6 and 24 h post-treatment. Drug distribution was relatively homogeneous.
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
1分钟前
1分钟前
兴奋秋珊发布了新的文献求助10
1分钟前
zsmj23完成签到 ,获得积分0
1分钟前
1分钟前
2分钟前
大模型应助尊敬的小懒猪采纳,获得10
2分钟前
kk完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
笑点低冥发布了新的文献求助10
2分钟前
小蘑菇应助笑点低冥采纳,获得10
2分钟前
roe完成签到 ,获得积分10
2分钟前
3分钟前
molihuakai应助科研通管家采纳,获得10
3分钟前
Augustines完成签到,获得积分10
4分钟前
4分钟前
小橙完成签到 ,获得积分10
5分钟前
5分钟前
尊敬的小懒猪关注了科研通微信公众号
5分钟前
5分钟前
Horizon完成签到,获得积分10
5分钟前
j7完成签到 ,获得积分10
5分钟前
5分钟前
5分钟前
随意完成签到,获得积分10
6分钟前
bingbing完成签到,获得积分10
6分钟前
等待雅蕊发布了新的文献求助15
6分钟前
6分钟前
6分钟前
NexusExplorer应助随意采纳,获得10
6分钟前
6分钟前
7分钟前
笑点低冥发布了新的文献求助10
7分钟前
上官若男应助笑点低冥采纳,获得10
7分钟前
狂野的含烟完成签到 ,获得积分10
7分钟前
7分钟前
9分钟前
所所应助科研通管家采纳,获得10
9分钟前
小蘑菇应助科研通管家采纳,获得10
9分钟前
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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 500
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 7318026
求助须知:如何正确求助?哪些是违规求助? 8933715
关于积分的说明 18938226
捐赠科研通 6977252
什么是DOI,文献DOI怎么找? 3214236
关于科研通互助平台的介绍 2382172
邀请新用户注册赠送积分活动 2193181