The Metabolic Profile of Stable Ischemic Heart Disease by Serum 1H NMR


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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.

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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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