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Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance

Youth with obesity have an increased risk for cardiometabolic disease, but identifying those at highest risk remains a challenge. Four biomarkers that might serve this purpose are “by products” of clinical NMR LipoProfile(®) lipid testing: LPIR (Lipoprotein Insulin Resistance Index), GlycA (inflamma...

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Autores principales: Chung, Stephanie T., Matta, Samantha T., Meyers, Abby G., Cravalho, Celeste K., Villalobos-Perez, Alfredo, Dawson, Joshua M., Sharma, Vandhna R., Sampson, Maureen L., Otvos, James D., Magge, Sheela N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167058/
https://www.ncbi.nlm.nih.gov/pubmed/34084151
http://dx.doi.org/10.3389/fendo.2021.665292
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author Chung, Stephanie T.
Matta, Samantha T.
Meyers, Abby G.
Cravalho, Celeste K.
Villalobos-Perez, Alfredo
Dawson, Joshua M.
Sharma, Vandhna R.
Sampson, Maureen L.
Otvos, James D.
Magge, Sheela N.
author_facet Chung, Stephanie T.
Matta, Samantha T.
Meyers, Abby G.
Cravalho, Celeste K.
Villalobos-Perez, Alfredo
Dawson, Joshua M.
Sharma, Vandhna R.
Sampson, Maureen L.
Otvos, James D.
Magge, Sheela N.
author_sort Chung, Stephanie T.
collection PubMed
description Youth with obesity have an increased risk for cardiometabolic disease, but identifying those at highest risk remains a challenge. Four biomarkers that might serve this purpose are “by products” of clinical NMR LipoProfile(®) lipid testing: LPIR (Lipoprotein Insulin Resistance Index), GlycA (inflammation marker), BCAA (total branched-chain amino acids), and glycine. All are strongly related to insulin resistance and type 2 diabetes (T2DM) in adults (glycine inversely) and are independent of biological and methodological variations in insulin assays. However, their clinical utility in youth is unclear. We compared fasting levels of these biomarkers in 186 youth (42 lean normal glucose tolerant (NGT), 88 obese NGT, 23 with prediabetes (PreDM), and 33 with T2DM. All four biomarkers were associated with obesity and glycemia in youth. LPIR and GlycA were highest in youth with PreDM and T2DM, whereas glycine was lowest in youth with T2DM. While all four were correlated with HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), LPIR had the strongest correlation (LPIR: r = 0.6; GlycA: r = 0.4, glycine: r = −0.4, BCAA: r = 0.2, all P < 0.01). All four markers correlated with HbA1c (LPIR, GlycA, BCAA: r ≥ 0.3 and glycine: r = −0.3, all P < 0.001). In multi-variable regression models, LPIR, GlycA, and glycine were independently associated with HOMA-IR (Adjusted R(2) = 0.473, P < 0.001) and LPIR, glycine, and BCAA were independently associated with HbA1c (Adjusted R(2) = 0.33, P < 0.001). An LPIR index of >44 was associated with elevated blood pressure, BMI, and dyslipidemia. Plasma NMR-derived markers were related to adverse markers of cardiometabolic risk in youth. LPIR, either alone or in combination with GlycA, should be explored as a non-insulin dependent predictive tool for development of insulin resistance and diabetes in youth. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov, identifier NCT:02960659
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spelling pubmed-81670582021-06-02 Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance Chung, Stephanie T. Matta, Samantha T. Meyers, Abby G. Cravalho, Celeste K. Villalobos-Perez, Alfredo Dawson, Joshua M. Sharma, Vandhna R. Sampson, Maureen L. Otvos, James D. Magge, Sheela N. Front Endocrinol (Lausanne) Endocrinology Youth with obesity have an increased risk for cardiometabolic disease, but identifying those at highest risk remains a challenge. Four biomarkers that might serve this purpose are “by products” of clinical NMR LipoProfile(®) lipid testing: LPIR (Lipoprotein Insulin Resistance Index), GlycA (inflammation marker), BCAA (total branched-chain amino acids), and glycine. All are strongly related to insulin resistance and type 2 diabetes (T2DM) in adults (glycine inversely) and are independent of biological and methodological variations in insulin assays. However, their clinical utility in youth is unclear. We compared fasting levels of these biomarkers in 186 youth (42 lean normal glucose tolerant (NGT), 88 obese NGT, 23 with prediabetes (PreDM), and 33 with T2DM. All four biomarkers were associated with obesity and glycemia in youth. LPIR and GlycA were highest in youth with PreDM and T2DM, whereas glycine was lowest in youth with T2DM. While all four were correlated with HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), LPIR had the strongest correlation (LPIR: r = 0.6; GlycA: r = 0.4, glycine: r = −0.4, BCAA: r = 0.2, all P < 0.01). All four markers correlated with HbA1c (LPIR, GlycA, BCAA: r ≥ 0.3 and glycine: r = −0.3, all P < 0.001). In multi-variable regression models, LPIR, GlycA, and glycine were independently associated with HOMA-IR (Adjusted R(2) = 0.473, P < 0.001) and LPIR, glycine, and BCAA were independently associated with HbA1c (Adjusted R(2) = 0.33, P < 0.001). An LPIR index of >44 was associated with elevated blood pressure, BMI, and dyslipidemia. Plasma NMR-derived markers were related to adverse markers of cardiometabolic risk in youth. LPIR, either alone or in combination with GlycA, should be explored as a non-insulin dependent predictive tool for development of insulin resistance and diabetes in youth. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov, identifier NCT:02960659 Frontiers Media S.A. 2021-05-18 /pmc/articles/PMC8167058/ /pubmed/34084151 http://dx.doi.org/10.3389/fendo.2021.665292 Text en At least a portion of this work is authored by Stephanie T. Chung on behalf of the U.S. Government and, as regards Dr. Chung and the U.S. Government, is not subject to copyright protection in the United States https://creativecommons.org/licenses/by/4.0/Foreign and other copyrights may apply. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Chung, Stephanie T.
Matta, Samantha T.
Meyers, Abby G.
Cravalho, Celeste K.
Villalobos-Perez, Alfredo
Dawson, Joshua M.
Sharma, Vandhna R.
Sampson, Maureen L.
Otvos, James D.
Magge, Sheela N.
Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance
title Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance
title_full Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance
title_fullStr Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance
title_full_unstemmed Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance
title_short Nuclear Magnetic Resonance Derived Biomarkers for Evaluating Cardiometabolic Risk in Youth and Young Adults Across the Spectrum of Glucose Tolerance
title_sort nuclear magnetic resonance derived biomarkers for evaluating cardiometabolic risk in youth and young adults across the spectrum of glucose tolerance
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167058/
https://www.ncbi.nlm.nih.gov/pubmed/34084151
http://dx.doi.org/10.3389/fendo.2021.665292
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