Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum

(1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Khin Thandar Htun [verfasserIn] Jie Pan [verfasserIn] Duanghathai Pasanta [verfasserIn] Montree Tungjai [verfasserIn] Chatchanok Udomtanakunchai [verfasserIn] Sirirat Chancharunee [verfasserIn] Siriprapa Kaewjaeng [verfasserIn] Hong Joo Kim [verfasserIn] Jakrapong Kaewkhao [verfasserIn] Suchart Kothan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	young adults obesity hyperlipidemia metabolic profile metabolic syndrome

Übergeordnetes Werk:	In: Life - MDPI AG, 2012, 11(2021), 6, p 574
Übergeordnetes Werk:	volume:11 ; year:2021 ; number:6, p 574

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/life11060574

Katalog-ID:	DOAJ086640259

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allfields	10.3390/life11060574 doi (DE-627)DOAJ086640259 (DE-599)DOAJ1ea6a2c2bd9747fc8d89baa67108660d DE-627 ger DE-627 rakwb eng Khin Thandar Htun verfasserin aut Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier (1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity. <sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome Science Q Jie Pan verfasserin aut Duanghathai Pasanta verfasserin aut Montree Tungjai verfasserin aut Chatchanok Udomtanakunchai verfasserin aut Sirirat Chancharunee verfasserin aut Siriprapa Kaewjaeng verfasserin aut Hong Joo Kim verfasserin aut Jakrapong Kaewkhao verfasserin aut Suchart Kothan verfasserin aut In Life MDPI AG, 2012 11(2021), 6, p 574 (DE-627)718627156 (DE-600)2662250-6 20751729 nnns volume:11 year:2021 number:6, p 574 https://doi.org/10.3390/life11060574 kostenfrei https://doaj.org/article/1ea6a2c2bd9747fc8d89baa67108660d kostenfrei https://www.mdpi.com/2075-1729/11/6/574 kostenfrei https://doaj.org/toc/2075-1729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 6, p 574
spelling	10.3390/life11060574 doi (DE-627)DOAJ086640259 (DE-599)DOAJ1ea6a2c2bd9747fc8d89baa67108660d DE-627 ger DE-627 rakwb eng Khin Thandar Htun verfasserin aut Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier (1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity. <sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome Science Q Jie Pan verfasserin aut Duanghathai Pasanta verfasserin aut Montree Tungjai verfasserin aut Chatchanok Udomtanakunchai verfasserin aut Sirirat Chancharunee verfasserin aut Siriprapa Kaewjaeng verfasserin aut Hong Joo Kim verfasserin aut Jakrapong Kaewkhao verfasserin aut Suchart Kothan verfasserin aut In Life MDPI AG, 2012 11(2021), 6, p 574 (DE-627)718627156 (DE-600)2662250-6 20751729 nnns volume:11 year:2021 number:6, p 574 https://doi.org/10.3390/life11060574 kostenfrei https://doaj.org/article/1ea6a2c2bd9747fc8d89baa67108660d kostenfrei https://www.mdpi.com/2075-1729/11/6/574 kostenfrei https://doaj.org/toc/2075-1729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 6, p 574
allfields_unstemmed	10.3390/life11060574 doi (DE-627)DOAJ086640259 (DE-599)DOAJ1ea6a2c2bd9747fc8d89baa67108660d DE-627 ger DE-627 rakwb eng Khin Thandar Htun verfasserin aut Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier (1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity. <sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome Science Q Jie Pan verfasserin aut Duanghathai Pasanta verfasserin aut Montree Tungjai verfasserin aut Chatchanok Udomtanakunchai verfasserin aut Sirirat Chancharunee verfasserin aut Siriprapa Kaewjaeng verfasserin aut Hong Joo Kim verfasserin aut Jakrapong Kaewkhao verfasserin aut Suchart Kothan verfasserin aut In Life MDPI AG, 2012 11(2021), 6, p 574 (DE-627)718627156 (DE-600)2662250-6 20751729 nnns volume:11 year:2021 number:6, p 574 https://doi.org/10.3390/life11060574 kostenfrei https://doaj.org/article/1ea6a2c2bd9747fc8d89baa67108660d kostenfrei https://www.mdpi.com/2075-1729/11/6/574 kostenfrei https://doaj.org/toc/2075-1729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 6, p 574
allfieldsGer	10.3390/life11060574 doi (DE-627)DOAJ086640259 (DE-599)DOAJ1ea6a2c2bd9747fc8d89baa67108660d DE-627 ger DE-627 rakwb eng Khin Thandar Htun verfasserin aut Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier (1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity. <sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome Science Q Jie Pan verfasserin aut Duanghathai Pasanta verfasserin aut Montree Tungjai verfasserin aut Chatchanok Udomtanakunchai verfasserin aut Sirirat Chancharunee verfasserin aut Siriprapa Kaewjaeng verfasserin aut Hong Joo Kim verfasserin aut Jakrapong Kaewkhao verfasserin aut Suchart Kothan verfasserin aut In Life MDPI AG, 2012 11(2021), 6, p 574 (DE-627)718627156 (DE-600)2662250-6 20751729 nnns volume:11 year:2021 number:6, p 574 https://doi.org/10.3390/life11060574 kostenfrei https://doaj.org/article/1ea6a2c2bd9747fc8d89baa67108660d kostenfrei https://www.mdpi.com/2075-1729/11/6/574 kostenfrei https://doaj.org/toc/2075-1729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 6, p 574
allfieldsSound	10.3390/life11060574 doi (DE-627)DOAJ086640259 (DE-599)DOAJ1ea6a2c2bd9747fc8d89baa67108660d DE-627 ger DE-627 rakwb eng Khin Thandar Htun verfasserin aut Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier (1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity. <sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome Science Q Jie Pan verfasserin aut Duanghathai Pasanta verfasserin aut Montree Tungjai verfasserin aut Chatchanok Udomtanakunchai verfasserin aut Sirirat Chancharunee verfasserin aut Siriprapa Kaewjaeng verfasserin aut Hong Joo Kim verfasserin aut Jakrapong Kaewkhao verfasserin aut Suchart Kothan verfasserin aut In Life MDPI AG, 2012 11(2021), 6, p 574 (DE-627)718627156 (DE-600)2662250-6 20751729 nnns volume:11 year:2021 number:6, p 574 https://doi.org/10.3390/life11060574 kostenfrei https://doaj.org/article/1ea6a2c2bd9747fc8d89baa67108660d kostenfrei https://www.mdpi.com/2075-1729/11/6/574 kostenfrei https://doaj.org/toc/2075-1729 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 6, p 574
language	English
source	In Life 11(2021), 6, p 574 volume:11 year:2021 number:6, p 574
sourceStr	In Life 11(2021), 6, p 574 volume:11 year:2021 number:6, p 574
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	<sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome Science Q
isfreeaccess_bool	true
container_title	Life
authorswithroles_txt_mv	Khin Thandar Htun @@aut@@ Jie Pan @@aut@@ Duanghathai Pasanta @@aut@@ Montree Tungjai @@aut@@ Chatchanok Udomtanakunchai @@aut@@ Sirirat Chancharunee @@aut@@ Siriprapa Kaewjaeng @@aut@@ Hong Joo Kim @@aut@@ Jakrapong Kaewkhao @@aut@@ Suchart Kothan @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	718627156
id	DOAJ086640259
language_de	englisch
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Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. 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author	Khin Thandar Htun
spellingShingle	Khin Thandar Htun misc <sup<1</sup<H NMR misc young adults misc obesity misc hyperlipidemia misc metabolic profile misc metabolic syndrome misc Science misc Q Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum
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topic_title	Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum <sup<1</sup<H NMR young adults obesity hyperlipidemia metabolic profile metabolic syndrome
topic	misc <sup<1</sup<H NMR misc young adults misc obesity misc hyperlipidemia misc metabolic profile misc metabolic syndrome misc Science misc Q
topic_unstemmed	misc <sup<1</sup<H NMR misc young adults misc obesity misc hyperlipidemia misc metabolic profile misc metabolic syndrome misc Science misc Q
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title	Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum
ctrlnum	(DE-627)DOAJ086640259 (DE-599)DOAJ1ea6a2c2bd9747fc8d89baa67108660d
title_full	Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum
author_sort	Khin Thandar Htun
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author_browse	Khin Thandar Htun Jie Pan Duanghathai Pasanta Montree Tungjai Chatchanok Udomtanakunchai Sirirat Chancharunee Siriprapa Kaewjaeng Hong Joo Kim Jakrapong Kaewkhao Suchart Kothan
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author-letter	Khin Thandar Htun
doi_str_mv	10.3390/life11060574
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title_sort	identification of metabolic phenotypes in young adults with obesity by <sup<1</sup<h nmr metabolomics of blood serum
title_auth	Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum
abstract	(1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity.
abstractGer	(1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity.
abstract_unstemmed	(1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (<sup<1</sup<H NMR). <sup<1</sup<H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, <i<p</i< < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, <i<p</i< < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (<i<p</i< < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity.
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title_short	Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum
url	https://doi.org/10.3390/life11060574 https://doaj.org/article/1ea6a2c2bd9747fc8d89baa67108660d https://www.mdpi.com/2075-1729/11/6/574 https://doaj.org/toc/2075-1729
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Identification of Metabolic Phenotypes in Young Adults with Obesity by <sup<1</sup<H NMR Metabolomics of Blood Serum

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