Evgeny V Sidorov, Kyle Smith, Chao Xu, Madhusmita Route, Dharambir K Sanghera
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引用次数: 0
Abstract
Introduction: Metabolomic studies which search for acute ischemic stroke (AIS) biomarkers commonly have contradictory findings. Robust methodology is required to understand true metabolome changes after AIS.
Methods: To improve validity, we obtained corroborative evidence on change of serum metabolome after AIS by: (1) focusing on patients with large vessel occlusion (LVO), (2) combining cross-sectional and longitudinal study designs, and (3) performing analysis using different metabolome platforms: Nuclear Magnetic Resonance (NMR) and Liquid Chromatography-Mass Spectrometry (LC-MS). In the cross-sectional part we compared serum metabolome of 84 AIS patients and 82 controls using NMR at 48-72 h, while in the longitudinal part we prospectively analyzed serum metabolome using LC-MS on 15 AIS patients at < 24 h, 48-72 h, 5-7 days, 80-120 days. We hypothesized that serum metabolites elevated in cross-sectional part would show rising trajectory in longitudinal part, and vice versa.
Results: We found that glycerol, phosphatidylethanolamine (PE), ceramide, phenylalanine and their derivatives had consistent increases, while other key metabolites including histidine, tyrosine, valine, glutamine, phosphatidylcholine (PC), sphingomyelin, fatty acids (FA) had consistent decreases after AIS.
Conclusion: We identified corroborated changes in metabolome after AIS across different technologies and study designs. These changes correspond to loss of nerve cell membrane integrity and activation of alternative metabolic pathways in the setting of blood brain barrier (BBB) disruption. If proven on a larger sample, our findings may improve prediction of mortality, and functional outcomes after AIS.
期刊介绍:
Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to:
metabolomic applications within man, including pre-clinical and clinical
pharmacometabolomics for precision medicine
metabolic profiling and fingerprinting
metabolite target analysis
metabolomic applications within animals, plants and microbes
transcriptomics and proteomics in systems biology
Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.