P-367 NMR-BASED METABOLOMICS: NOVEL APPLICATION IN EXPOSOMICS

代谢组学 计算生物学 医学 化学 生物 色谱法
作者
Mariangela Spagnoli,Giovanna Tranfo,Ottavia Giampaoli,Fabio Sciubba,Michele De Rosa,A. Patriarca
出处
期刊:Occupational Medicine [Oxford University Press]
卷期号:74 (Supplement_1)
标识
DOI:10.1093/occmed/kqae023.0984
摘要

Abstract Introduction Metabolomics studies the end products of biological processes ocurring in living systems, based on the quantification of low molecular weight molecules in a specific biofluid to evaluate the changes in metabolism due to endogenous and/or exogenous stimuli. Nuclear magnetic resonance (NMR) has proven to be a very valuable analytical platform for its ability to quali-quantitatively characterize complex mixtures with minimal pretreatment and can be applied in the field of occupational medicine. Methods Urine samples of exposed workers and healthy non-exposed volunteers were collected from different biolmonitoring campaigns and analyzed by nuclear magnetic resonance (NMR) spectroscopy with mono and bidimensional experiments Results About 40 metabolites, including amino acids, organic acids, aromatic compounds and alcohols, were identified and quantified. It was also possible to identify and quantify both metabolites and dose biomarkers such as mandelic and phenilglyossilc acids in case of styrene exposure. Discussion By comparing the urinary metabolites of exposed and non-exposed it is possible to observe quantitative differences validated by univariate and multivariate statistical analysis. These differences may be attributable to metabolic alterations at a subclinical level and therefore provide indications on potential variations to be followed over time to predict the onset of occupational disease. Conclusion The application of NMR metabolomic approach in occupational medicine evidence a characteristic metabolic profile by identyfing early biomarkers of effect and their involvement in the metabolic pathway.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
矮小的城发布了新的文献求助30
刚刚
丘比特应助龙腾九霄233采纳,获得10
刚刚
大模型应助清脆的访烟采纳,获得10
1秒前
YJ发布了新的文献求助10
1秒前
善学以致用应助猜不猜不采纳,获得10
3秒前
3秒前
WUHUIWEN完成签到,获得积分10
3秒前
星辰坠于海应助Dr.c采纳,获得10
3秒前
Lxy完成签到,获得积分10
4秒前
枫叶完成签到,获得积分10
4秒前
ssz完成签到,获得积分10
4秒前
4秒前
autism完成签到,获得积分20
4秒前
zc发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
材料若饥完成签到,获得积分10
5秒前
7秒前
海盐气泡水完成签到,获得积分10
7秒前
April完成签到,获得积分10
7秒前
子车谷波发布了新的文献求助10
8秒前
Ava应助叽里呱啦采纳,获得10
8秒前
yangya应助Diana采纳,获得10
8秒前
Hello应助bxyyy采纳,获得10
9秒前
Lxy发布了新的文献求助10
9秒前
zdy完成签到,获得积分10
10秒前
Owen应助坚强的寒风采纳,获得10
10秒前
之只完成签到,获得积分10
10秒前
flourescence发布了新的文献求助10
10秒前
怡然念之完成签到 ,获得积分10
11秒前
顾矜应助Clean采纳,获得10
11秒前
12秒前
kevin发布了新的文献求助30
12秒前
kiki发布了新的文献求助10
12秒前
假唱卡带完成签到,获得积分10
13秒前
14秒前
14秒前
神勇咖啡豆应助Dr.c采纳,获得10
14秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
MATLAB在传热学例题中的应用 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3303861
求助须知:如何正确求助?哪些是违规求助? 2938039
关于积分的说明 8485855
捐赠科研通 2611997
什么是DOI,文献DOI怎么找? 1426470
科研通“疑难数据库(出版商)”最低求助积分说明 662641
邀请新用户注册赠送积分活动 647245