2018
DOI: 10.1042/cs20180247
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Targeting amino acids metabolic profile to identify novel metabolic characteristics in atrial fibrillation

Abstract: Atrial fibrillation (AF) is the most common cardiac arrhythmia whose incidence is on the rise globally. However, the pathophysiologic mechanism of AF remains poorly understood and there has been a lack of circulatory markers to diagnose and predict prognosis of AF. In the present study, by measuring metabolic profile and analyzing plasma amino acid levels in AF patients, we sought to determine whether amino acid metabolism was correlated to the occurrence of AF. Consecutive patients admitted to hospital for AF… Show more

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Cited by 22 publications
(41 citation statements)
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“…All subjects were enrolled from the respiratory and critical care department of the First Affiliated Hospital of Xi'an Jiaotong University, China, from September 2017 to September 2018. Written informed consent was obtained from all subjects according to the Declaration of Helsinki, and the study was approved by the ethics committee of Xi'an Jiaotong University [11][12][13] . We included a cohort of 13 young adults and 36 healthy controls between the ages of 18 and 30 years old.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…All subjects were enrolled from the respiratory and critical care department of the First Affiliated Hospital of Xi'an Jiaotong University, China, from September 2017 to September 2018. Written informed consent was obtained from all subjects according to the Declaration of Helsinki, and the study was approved by the ethics committee of Xi'an Jiaotong University [11][12][13] . We included a cohort of 13 young adults and 36 healthy controls between the ages of 18 and 30 years old.…”
Section: Methodsmentioning
confidence: 99%
“…The patients were treated on an inpatient basis. Demographic and biochemical information was obtained as previously described [12][13][14] .…”
Section: Methodsmentioning
confidence: 99%
“…Demographic and biochemical information was obtained as previously described [13][14][15] Serum sample preparation Serum samples were collected from IHD, ICM and control patients after coronary angiography. Venous blood was withdrawn the next morning after overnight fast and immediately centrifuged at 3000 rpm for 10min at 4°C.…”
Section: Study Design and Populationmentioning
confidence: 99%
“…Venous blood was withdrawn the next morning after overnight fast and immediately centrifuged at 3000 rpm for 10min at 4°C. Serum was separated and stored at −80°C and aliquots were thawed for further processing as previously described [13,15].…”
Section: Study Design and Populationmentioning
confidence: 99%
“…Venous blood was withdrawn the next morning after overnight fast and immediately centrifuged at 3000 rpm for 10min at 4°C. Serum was separated and stored at −80°C and aliquots were thawed for further processing as previously described[13,15]. The lipidomics data was processed by the software PeakView1.2 for qualitative analysis and MultiQuant2.1 for quantitative analysis.Statistical analysisData were normalized using MetaboAnalyst before analyses as previously discribed[16][17][18][19][20][21][22][23][24][25] (Supplementary Figure S1 andS2).…”
mentioning
confidence: 99%