Targeted metabolomic profiling of acute ST-segment elevation myocardial infarction

被引:1
作者
Markin, Sergey S. [1 ]
Ponomarenko, E. A. [1 ]
Romashova, Yu. A. [1 ]
Pleshakova, T. O. [1 ]
Ivanov, S. V. [1 ]
Beregovykh, V. V. [1 ]
Konstantinov, S. L. [2 ]
Stryabkova, G. I. [2 ]
Chefranova, Zh. Yu. [3 ]
Lykov, Y. A. [3 ]
Karamova, I. M. [4 ]
Koledinskii, A. G. [5 ]
Shestakova, K. M. [6 ]
Markin, P. A. [6 ]
Moskaleva, N. E. [6 ]
Appolonova, S. A. [6 ,7 ]
机构
[1] Inst Biomed Chem, Moscow 119121, Russia
[2] Belgorod Reg Clin Hosp St Joseph, Belgorod 308007, Russia
[3] Belgorod State Natl Res Univ, Belgorod 308015, Russia
[4] Ufa Emergency City Clin Hosp, Ufa 450092, Russia
[5] Peoples Friendship Univ Russia, Moscow 117198, Russia
[6] IM Sechenov First Moscow State Med Univ, Sechenov Univ, Inst Translat Med & Biotechnol, Lab Pharmacokinet & Metabol Anal, Moscow 119435, Russia
[7] IM Sechenov First Moscow State Med Univ, Sechenov Univ, Moscow 119435, Russia
关键词
Metabolomic profiling; Metabolic pathways; STEMI pathogenesis; CARDIOVASCULAR-DISEASE; CYTOSCAPE; METSCAPE; RISK;
D O I
10.1038/s41598-024-75635-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Myocardial infarction is a major cause of morbidity and mortality worldwide. Metabolomic investigations may be useful for understanding the pathogenesis of ST-segment elevation myocardial infarction (STEMI). STEMI patients were comprehensively examined via targeted metabolomic profiling, machine learning and weighted correlation network analysis. A total of 195 subjects, including 68 STEMI patients, 84 patients with stable angina pectoris (SAP) and 43 non-CVD patients, were enrolled in the study. Metabolomic profiling involving the quantitative analysis of 87 endogenous metabolites in plasma was conducted. This study is the first to perform targeted metabolomic profiling in patients with STEMI. We identified 36 significantly altered metabolites in STEMI patients. Increased levels of four amino acids, eight acylcarnitines, six metabolites of the NO-urea cycle and neurotransmitters, and three intermediates of tryptophan metabolism were detected. The following metabolites exhibited decreased levels: six amino acids, three acylcarnitines, three components of the NO-urea cycle and neurotransmitters, and three intermediates of tryptophan metabolism. We found that the significant changes in tryptophan metabolism observed in STEMI patients-the increase in anthranilic acid and tryptophol and decrease in xanthurenic acid and 3-OH-kynurenine-may play important roles in STEMI pathogenesis. On the basis of the differences in the constructed weighted correlation networks, new significant metabolite ratios were identified. Among the 22 significantly altered metabolite ratios identified, 13 were between STEMI patients and non-CVD patients, and 17 were between STEMI patients and SAP patients. Seven of these ratios were common to both comparisons (STEMI patients vs. non-CVD patients and STEMI patients vs. SAP patients). Additionally, two ratios were consistently observed among the STEMI, SAP and non-CVD groups (anthranilic acid: aspartic acid and GSG (glutamine: serine + glycine)). These findings provide new insight into the diagnosis and pathogenesis of STEMI.
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相关论文
共 34 条
[1]   Short-term variability of the human serum metabolome depending on nutritional and metabolic health status [J].
Agueusop, Inoncent ;
Musholt, Petra B. ;
Klaus, Beate ;
Hightower, Kendra ;
Kannt, Aimo .
SCIENTIFIC REPORTS, 2020, 10 (01)
[2]   A Comparative Metabolomics Approach Reveals Early Biomarkers for Metabolic Response to Acute Myocardial Infarction [J].
Ali, Sara E. ;
Farag, Mohamed A. ;
Holvoet, Paul ;
Hanafi, Rasha S. ;
Gad, Mohamed Z. .
SCIENTIFIC REPORTS, 2016, 6
[3]   Acute Myocardial Infarction [J].
Anderson, Jeffrey L. ;
Morrow, David A. .
NEW ENGLAND JOURNAL OF MEDICINE, 2017, 376 (21) :2053-2064
[4]   Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data [J].
Basu, Sumanta ;
Duren, William ;
Evans, Charles R. ;
Burant, Charles F. ;
Michailidis, George ;
Karnovsky, Alla .
BIOINFORMATICS, 2017, 33 (10) :1545-1553
[5]   Overview of homocysteine and folate metabolism. With special references to cardiovascular disease and neural tube defects [J].
Blom, Henk J. ;
Smulders, Yvo .
JOURNAL OF INHERITED METABOLIC DISEASE, 2011, 34 (01) :75-81
[6]  
Campeau L, 2002, CAN J CARDIOL, V18, P371
[7]   Network-based strategies in metabolomics data analysis and interpretation: from molecular networking to biological interpretation [J].
De Souza, Leonardo Perez ;
Alseekh, Saleh ;
Brotman, Yariv ;
Fernie, Alisdair R. .
EXPERT REVIEW OF PROTEOMICS, 2020, 17 (04) :243-255
[8]   Vasorelaxing Action of the Kynurenine Metabolite, Xanthurenic Acid: The Missing Link in Endotoxin-Induced Hypotension? [J].
Fazio, Francesco ;
Carrizzo, Albino ;
Lionetto, Luana ;
Damato, Antonio ;
Capocci, Luca ;
Ambrosio, Mariateresa ;
Battaglia, Giuseppe ;
Bruno, Valeria ;
Madonna, Michele ;
Simmaco, Maurizio ;
Nicoletti, Ferdinando ;
Vecchione, Carmine .
FRONTIERS IN PHARMACOLOGY, 2017, 8
[9]   Metscape: a Cytoscape plug-in for visualizing and interpreting metabolomic data in the context of human metabolic networks [J].
Gao, Jing ;
Tarcea, V. Glenn ;
Karnovsky, Alla ;
Mirel, Barbara R. ;
Weymouth, Terry E. ;
Beecher, Christopher W. ;
Cavalcoli, James D. ;
Athey, Brian D. ;
Omenn, Gilbert S. ;
Burant, Charles F. ;
Jagadish, H. V. .
BIOINFORMATICS, 2010, 26 (07) :971-973
[10]   Plasma acylcarnitines and risk of cardiovascular disease: effect of Mediterranean diet interventions [J].
Guasch-Ferre, Marta ;
Zhen, Yan ;
Ruiz-Canela, Miguel ;
Hruby, Adela ;
Martinez-Gonzalez, Miguel A. ;
Clish, Clary B. ;
Corella, Dolores ;
Estruch, Ramon ;
Ros, Emilio ;
Fito, Montserrat ;
Dennis, Courtney ;
Morales-Gil, Isabel M. ;
Aros, Fernando ;
Fiol, Miguel ;
Lapetra, Jose ;
Serra-Majem, Lluis ;
Hu, Frank B. ;
Salas-Salvado, Jordi .
AMERICAN JOURNAL OF CLINICAL NUTRITION, 2016, 103 (06) :1408-1416