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      Proton magnetic resonance spectroscopy in skeletal muscle: Experts' consensus recommendations

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          Abstract

          1H‐MR spectroscopy of skeletal muscle provides insight into metabolism that is not available noninvasively by other methods. The recommendations given in this article are intended to guide those who have basic experience in general MRS to the special application of 1H‐MRS in skeletal muscle. The highly organized structure of skeletal muscle leads to effects that change spectral features far beyond simple peak heights, depending on the type and orientation of the muscle. Specific recommendations are given for the acquisition of three particular metabolites (intramyocellular lipids, carnosine and acetylcarnitine) and for preconditioning of experiments and instructions to study volunteers.

          Abstract

          The recommendations are intended to guide those who have basic experience in general MRS to the special application of 1H‐MRS in skeletal muscle. The structure of skeletal muscle leads to effects that change spectral features far beyond simple peak heights, depending on the type and orientation of the muscle. Specific advice is given for three particular metabolites (intramyocellular lipids, carnosine and acetylcarnitine) and for preconditioning of experiments and instructions to study volunteers.

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          Most cited references115

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          HMDB: a knowledgebase for the human metabolome

          The Human Metabolome Database (HMDB, http://www.hmdb.ca) is a richly annotated resource that is designed to address the broad needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists and members of the metabolomics community. Since its first release in 2007, the HMDB has been used to facilitate the research for nearly 100 published studies in metabolomics, clinical biochemistry and systems biology. The most recent release of HMDB (version 2.0) has been significantly expanded and enhanced over the previous release (version 1.0). In particular, the number of fully annotated metabolite entries has grown from 2180 to more than 6800 (a 300% increase), while the number of metabolites with biofluid or tissue concentration data has grown by a factor of five (from 883 to 4413). Similarly, the number of purified compounds with reference to NMR, LC-MS and GC-MS spectra has more than doubled (from 380 to more than 790 compounds). In addition to this significant expansion in database size, many new database searching tools and new data content has been added or enhanced. These include better algorithms for spectral searching and matching, more powerful chemical substructure searches, faster text searching software, as well as dedicated pathway searching tools and customized, clickable metabolic maps. Changes to the user-interface have also been implemented to accommodate future expansion and to make database navigation much easier. These improvements should make the HMDB much more useful to a much wider community of users.
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            Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr.

            We employed a whole body magnetic resonance imaging protocol to examine the influence of age, gender, body weight, and height on skeletal muscle (SM) mass and distribution in a large and heterogeneous sample of 468 men and women. Men had significantly (P < 0.001) more SM in comparison to women in both absolute terms (33.0 vs. 21.0 kg) and relative to body mass (38.4 vs. 30.6%). The gender differences were greater in the upper (40%) than lower (33%) body (P < 0.01). We observed a reduction in relative SM mass starting in the third decade; however, a noticeable decrease in absolute SM mass was not observed until the end of the fifth decade. This decrease was primarily attributed to a decrease in lower body SM. Weight and height explained approximately 50% of the variance in SM mass in men and women. Although a linear relationship existed between SM and height, the relationship between SM and body weight was curvilinear because the contribution of SM to weight gain decreased with increasing body weight. These findings indicate that men have more SM than women and that these gender differences are greater in the upper body. Independent of gender, aging is associated with a decrease in SM mass that is explained, in large measure, by a decrease in lower body SM occurring after the fifth decade.
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              Intramyocellular lipid concentrations are correlated with insulin sensitivity in humans: a 1H NMR spectroscopy study.

              Recent muscle biopsy studies have shown a relation between intramuscular lipid content and insulin resistance. The aim of this study was to test this relation in humans by using a novel proton nuclear magnetic resonance (1H NMR) spectroscopy technique, which enables non-invasive and rapid (approximately 45 min) determination of intramyocellular lipid (IMCL) content. Normal weight non-diabetic adults (n = 23, age 29+/-2 years. BMI = 24.1+/-0.5 kg/m2) were studied using cross-sectional analysis. Insulin sensitivity was assessed by a 2-h hyperinsulinaemic (approximately 450 pmol/l)-euglycaemic (approximately 5 mmol/l) clamp test. Intramyocellular lipid concentrations were determined by using localized 1H NMR spectroscopy of soleus muscle. Simple linear regression analysis showed an inverse correlation (r = -0.579, p = 0.0037) [corrected] between intramyocellular lipid content and M-value (100-120 min of clamp) as well as between fasting plasma non-esterified fatty acid concentration and M-value (r = -0.54, p = 0.0267). Intramyocellular lipid content was not related to BMI, age and fasting plasma concentrations of triglycerides, non-esterified fatty acids, glucose or insulin. These results show that intramyocellular lipid concentration, as assessed non invasively by localized 1H NMR spectroscopy, is a good indicator of whole body insulin sensitivity in non-diabetic, non-obese humans.
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                Author and article information

                Contributors
                martin.krssak@meduniwien.ac.at
                Journal
                NMR Biomed
                NMR Biomed
                10.1002/(ISSN)1099-1492
                NBM
                Nmr in Biomedicine
                John Wiley and Sons Inc. (Hoboken )
                0952-3480
                1099-1492
                05 February 2020
                May 2021
                : 34
                : 5 , Advanced methodology for in vivo magnetic resonance spectroscopy ( doiID: 10.1002/nbm.v34.5 )
                : e4266
                Affiliations
                [ 1 ] Division of Endocrinology and Metabolism, Department of Internal Medicine III & High Field MR Centre, Department of Biomedical Imaging and Image guided Therapy Medical University of Vienna Vienna Austria
                [ 2 ] Department of Radiology and Nuclear Medicine and Department of Nutrition and Movement Science Maastricht University Medical Center Maastricht The Netherlands
                [ 3 ] Biomedical Research Consulting in Magnetic Resonance Spectroscopy Albuquerque New Mexico
                [ 4 ] Department of Movement and Sports Sciences Ghent University Ghent Belgium
                [ 5 ] Department of Diagnostics and Therapeutics University of Helsinki Helsinki Finland
                [ 6 ] PeakAnalysts, Benenden Kent UK
                [ 7 ] Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology University Hospital Tübingen Tübingen Germany
                [ 8 ] Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen Tübingen Germany
                [ 9 ] German Center for Diabetes Research (DZD) Tübingen Germany
                [ 10 ] Departments of Radiology and Biomedical Research University and Inselspital Bern Switzerland
                Author notes
                [*] [* ] Correspondence

                Martin Krššák, PhD, Division of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Währinger Gürtel 18‐20, A‐1090 Vienna, Austria.

                Email: martin.krssak@ 123456meduniwien.ac.at

                Author information
                https://orcid.org/0000-0001-9717-803X
                https://orcid.org/0000-0002-8402-7328
                https://orcid.org/0000-0002-4458-5886
                https://orcid.org/0000-0002-8618-6875
                Article
                NBM4266 NBM-19-0193.R1
                10.1002/nbm.4266
                8244035
                32022964
                1c6c87ce-a018-4303-b6a8-710940ac92f9
                © 2020 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 December 2019
                : 30 July 2019
                : 15 January 2020
                Page count
                Figures: 10, Tables: 5, Pages: 20, Words: 14561
                Categories
                Special Issue Review Article
                Special Issue Review Articles
                Custom metadata
                2.0
                May 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:30.06.2021

                Radiology & Imaging
                acetylacarnitine,carnosine,deoxymyoglobine,intramyocellular lipids,lactate,magnetic resonance spectroscopy,physiology,skeletal muscle

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