The Metabolic Profile of Stable Ischemic Heart Disease by Serum 1H NMR
- 作者: Titma T.1, Shin M.1, Ludwig C.2, Günther U.L.2, Pikta M.3, Zemtsovskaja G.3, Viigimaa M.1,3, Tanner R.1, Samoson A.1,4
- 
							隶属关系: 
							- Department of Health Technologies, School of Information Technologies, Tallinn University of Technology
- Institute of Cancer and Genomic Sciences, University of Birmingham
- North Estonia Medical Centre
- Department of Physics, University of Warwick
 
- 期: 卷 50, 编号 4 (2019)
- 页面: 527-539
- 栏目: Original Paper
- URL: https://journals.rcsi.science/0937-9347/article/view/248315
- DOI: https://doi.org/10.1007/s00723-018-1084-0
- ID: 248315
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Ischemic heart disease (IHD) is the most common cause of death in the world. Metabolic profiling is an innovative and reliable new method to detect more sensitive biomarkers identifying altered health conditions specifically among the variety of patients with different risk factors. We evaluated the metabolic profile of filtered serum of stable IHD patients (ICD10 codes I20 and I25.2, ischemic heart disease without or with previous myocardial infarction respectively) using proton nuclear magnetic resonance spectroscopy (NMR). The filtered venous serum from age- and gender-matched stable IHD patients ICD10 coded I20 (n = 13), I25.2 (n = 6) and control individuals (n = 19) were analyzed using one-dimensional proton nuclear magnetic resonance (1H NMR) spectroscopy. These spectra were used for metabolic profiling and concentration calibration (Chenomx Inc.) followed by statistical analysis using one-way ANOVA and principal component analysis (PCA). Chemometrics analysis showed a significant distinction between the patients and control individuals. The stable IHD patients were exemplified by the increased concentration of acetylacetate, choline, betaine, formate, pyruvate and by the decreased concentration of alanine, creatine, glycine, histidine, lactate, proline, urea and other biomolecules. The major implications found in the serum of IHD patients are related to energy metabolism and potentially altered microbiome. PCA of 1H NMR detected serum metabolites exhibit a significant difference of stable IHD patients and control individuals. These data demonstrate that metabolomics approach may be useful for the early detection of stable IHD, for detection of synergistic pathways involved in the development of altered health conditions, and molecular understanding of particular health condition. The differences of the detected metabolic profile of ischemic patients with or without previous myocardial infarction appear to be minor. This relatively inexpensive, non-invasive and reproducible approach may be useful for the molecular understanding and early prevention of IHD, improvement of surveillance and therapy. The study emerges the need for future investigations using larger cohort and possible longitudinal sight.
作者简介
Tiina Titma
Department of Health Technologies, School of Information Technologies, Tallinn University of Technology
							编辑信件的主要联系方式.
							Email: tiina.titma@ttu.ee
				                	ORCID iD: 0000-0002-4935-8914
				                																			                												                	爱沙尼亚, 							Akadeemia tee 15A, Tallinn, 12618						
Min-Ji Shin
Department of Health Technologies, School of Information Technologies, Tallinn University of Technology
														Email: tiina.titma@ttu.ee
				                					                																			                												                	爱沙尼亚, 							Akadeemia tee 15A, Tallinn, 12618						
Christian Ludwig
Institute of Cancer and Genomic Sciences, University of Birmingham
														Email: tiina.titma@ttu.ee
				                					                																			                												                	英国, 							Birmingham, B15 2TT						
Ulrich Günther
Institute of Cancer and Genomic Sciences, University of Birmingham
														Email: tiina.titma@ttu.ee
				                					                																			                												                	英国, 							Birmingham, B15 2TT						
Marika Pikta
North Estonia Medical Centre
														Email: tiina.titma@ttu.ee
				                					                																			                												                	爱沙尼亚, 							J. Sütiste tee 19, Tallinn, 13419						
Galina Zemtsovskaja
North Estonia Medical Centre
														Email: tiina.titma@ttu.ee
				                					                																			                												                	爱沙尼亚, 							J. Sütiste tee 19, Tallinn, 13419						
Margus Viigimaa
Department of Health Technologies, School of Information Technologies, Tallinn University of Technology; North Estonia Medical Centre
														Email: tiina.titma@ttu.ee
				                					                																			                												                	爱沙尼亚, 							Akadeemia tee 15A, Tallinn, 12618; J. Sütiste tee 19, Tallinn, 13419						
Risto Tanner
Department of Health Technologies, School of Information Technologies, Tallinn University of Technology
														Email: tiina.titma@ttu.ee
				                					                																			                												                	爱沙尼亚, 							Akadeemia tee 15A, Tallinn, 12618						
Ago Samoson
Department of Health Technologies, School of Information Technologies, Tallinn University of Technology; Department of Physics, University of Warwick
														Email: tiina.titma@ttu.ee
				                					                																			                												                	爱沙尼亚, 							Akadeemia tee 15A, Tallinn, 12618; Coventry, CV4 7AL						
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