Summary of Study ST003661
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002271. The data can be accessed directly via it's Project DOI: 10.21228/M82V6D This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST003661 |
Study Title | Lipidomics facilitates the discovery of diagnostic biomarkers in patients with chronic total occlusion during the perioperative period |
Study Summary | Chronic total occlusion (CTO) is a subtype of cardiovascular disease associated with high mortality and an increased risk of ventricular arrhythmia. This study aimed to investigate lipidomic changes in CTO patients undergoing percutaneous coronary intervention (PCI) using a tandem-lipidomic strategy. We first applied a global lipidomic approach to identify the serum lipidomes of CTO-PCI patients during the perioperative period, successfully separating and identifying over 1,500 lipids. Based on these results, a Multiple Reaction Monitoring (MRM) quantification method was developed and employed for targeted lipidomic analysis. Using a high-throughput MRM tandem liquid chromatography-mass spectrometry approach, 613 lipids were successfully quantified in CTO-PCI patients and control donors. PA 18:2/11:0 emerged as a potential biomarker for distinguishing CTO patients from those suspected of having the condition. Notably, patients with different prognostic outcomes exhibited significantly distinct serum lipidomes in both pre- and post-CTO-PCI samples. This finding suggests that lipidomic data hold significant potential not only for monitoring postoperative prognosis but also for predicting surgical outcomes |
Institute | Zhongshan Hospital Fudan University |
Last Name | Wang |
First Name | Zhenxin |
Address | 136 Yi Xue Yuan Road |
wang.zhenxin@zs-hospital.sh.cn | |
Phone | +8618817976583 |
Submit Date | 2024-12-04 |
Num Groups | 4 |
Total Subjects | 63 |
Raw Data Available | Yes |
Raw Data File Type(s) | wiff |
Analysis Type Detail | LC-MS |
Release Date | 2025-01-20 |
Release Version | 1 |
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Project:
Project ID: | PR002271 |
Project DOI: | doi: 10.21228/M82V6D |
Project Title: | Metabolome trajectory of exercise physiology- a comprehensive study of healthy male and female athletes |
Project Summary: | BACKGROUND. Integrating metabolomics in sports science provides valuable insights into the biochemistry during physical activity. However, due to their invasiveness, traditional blood sampling methods present challenges in sports settings. The study investigated sex-specific metabolic responses, addressing a significant gap in exercise research, where female participation remains underrepresented. METHODS. To address this, we explored volumetrically accurate microsampling (VAMS) as a dried blood spot (DBS) technique for assessing metabolomic changes in response to acute exercise in more than 130 participants. This study employed a targeted quantitative approach using isotopically-labeled internal standards to measure over 100 metabolites in DBS, providing accurate and traceable results. An accuracy assessment using standard reference material and stability testing over 90 days further evaluated the suitability of DBS for sports metabolomics. RESULTS. Our findings confirm that DBS offers a valid approach to capturing metabolic changes during exercise, reporting a wide panel of metabolites including key metabolites of energy pathways, which correlate well with plasma-derived data but also less studied classes such as pyrimidines. Implementing a straightforward standardization concept established metabolic perturbations upon bout exercise as differences of absolute concentrations. CONCLUSIONS. While metabolic regulations upon exercise are similar in both sexes, differences in the correlation with fitness-related metadata such as peak volitional oxygen consumption (V̇O2peak) and performance, indicate a higher complexity in women and a limitation of previous knowledge to men only. The quantification approach together with the simplicity of the sampling paves the way to expand this type of research towards other fields of personalized medical services. |
Institute: | University of Vienna |
Department: | Department of Analytical Chemistry |
Laboratory: | Koellensperger Lab |
Last Name: | Schoeny |
First Name: | Harald |
Address: | Waehringerstrasse 38 |
Email: | harald.schoeny@univie.ac.at |
Phone: | +43 1 4277 52380 |
Contributors: | Harald Schoeny, Bruno Stelzer, Theresa Hofbauer, Florian Reisenbauer, Yasin El Abiead, Jürgen Scharhag, Gunda Koellensperger |