LC-MS/MS-based Quantification of Tryptophan, Kynurenine, and Kynurenic Acid in Human Placental, Fetal Membranes, and Umbilical Cord Samples

作者
Bruno Pedraz‐Petrozzi,Marta Marszałek‐Grabska,Anna Kozub,Klaudia Szałaj,Alicja Trzpil,Anna Stachniuk,Eva Kathrin Lamadé,Maria Gilles,Michael Deuschle,Waldemar A. Turski,Emilia Fornal
出处
期刊:Research Square 被引量:2
标识
DOI:10.21203/rs.3.rs-2743706/v1
摘要

Abstract Tryptophan breakdown metabolites formed along kynurenine pathway play a significant role in pregnancy and fetal development. To understand the involvement of tryptophan (TRP), kynurenine (KYN), and kynurenic acid (KYNA) in these phenomena, it is essential to quantify their levels in relevant biological samples, such as the placenta, fetal membranes, and umbilical cord. In this study, the level of TRP, KYN, and KYNA was determined using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The LC-MS/MS method was optimized for high sensitivity and specificity; it showed good reproducibility with a precision of <10% CV and an accuracy of 85-115%. The lower limit of quantification was 0.5 µg/ml for both TRP and KYN and 0.5 ng/mL for KYNA. The method was linear over the examined range of concentrations in homogenate: 0.5 to 30 µg/ml for both TRP and KYN and 0.5 to 25 ng/ml for KYNA. Maternal placenta samples exhibited lower KYNA concentrations but higher KYN concentrations and significantly increased KYN/TRP ratio. However, the umbilical cord had a significantly higher KYNA/KYN ratio than the other two analyzed tissues. No differences were observed in the KYNA/TRP ratio. Collectively, this finding may facilitate further research and provide inside into the involvement of kynurenine pathway of TRP metabolism in fetal development.

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秒前
月如钩完成签到,获得积分10
1秒前
Peng小糕发布了新的文献求助10
1秒前
臭臭发布了新的文献求助10
1秒前
rarfen完成签到,获得积分10
1秒前
1秒前
2秒前
任性的牛排完成签到,获得积分10
2秒前
2秒前
2秒前
跳跃的千柳完成签到,获得积分10
2秒前
华仔的应助被Little5采纳,获得10
2秒前
3秒前
tomorrow发布了新的文献求助10
3秒前
3秒前
3秒前
柏达完成签到,获得积分10
3秒前
南极熊完成签到,获得积分10
3秒前
3秒前
zoe发布了新的文献求助50
4秒前
慎之完成签到 ,获得积分10
4秒前
复杂大象完成签到,获得积分10
4秒前
4秒前
4秒前
桐11发布了新的文献求助10
5秒前
5秒前
5秒前
遥雪发布了新的文献求助10
5秒前
梦想发布了新的文献求助10
6秒前
DW的应助被小花采纳,获得10
6秒前
6秒前
7秒前
7秒前
邵洋发布了新的文献求助10
7秒前
可爱的函函的应助被寒冷十三采纳,获得10
7秒前
112233abc完成签到,获得积分10
7秒前
邱化兴发布了新的文献求助10
8秒前
ywzwszl完成签到,获得积分0
8秒前
北落发布了新的文献求助30
8秒前
bzdgbl发布了新的文献求助30
8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
Les Mantodea De Guyane 2000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Atelier, 2nd edition 500
Study of structural arctic steel in a friction pair with ice 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7995086
求助须知:如何正确求助?哪些是违规求助? 9449873
关于积分的说明 21126883
捐赠科研通 7568391
什么是DOI,文献DOI怎么找? 3379556
关于科研通互助平台的介绍 2513187
邀请新用户注册赠送积分活动 2413402