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Plasma sphingomyelins increase in pre-diabetic Korean men with abdominal obesity
Abdominal or visceral obesity is a well-known risk factor for metabolic diseases. However, whether abdominal obesity significantly affects plasma lipid profile during the development of type 2 diabetes has not been fully elucidated. We investigated the differences in plasma lipid concentrations in 6...
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Published in: | PloS one 2019-03, Vol.14 (3), p.e0213285 |
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description | Abdominal or visceral obesity is a well-known risk factor for metabolic diseases. However, whether abdominal obesity significantly affects plasma lipid profile during the development of type 2 diabetes has not been fully elucidated. We investigated the differences in plasma lipid concentrations in 63 participants categorized into six groups (middle-aged Korean men); Normal, Pre-diabetes (pre-DM), and Diabetes mellitus (DM) with or without abdominal obesity (AO or lean). The lipidomic profiles were determined by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Sphingomyelin (SM) levels in plasma were significantly higher in the pre-DM with AO than in pre-DM with lean (p = 0.021). SM concentrations correlated positively with waist-to-hip ratio (WHR) (r = 0.256, p = 0.044), cholesteryl ester (CE) (r = 0.483, p < 0.0001), ceramide (r = 0.489, p < 0.0001) and plasmanyl phosphatidylcholine (PC) (r = 0.446, p < 0.0001). The present study found that pre-diabetic patients with AO were characterized by increased plasma concentrations of SM. Plasma SM levels in individuals with AO may be an early prognostic biomarker to better predict the progression toward type 2 diabetes and metabolic syndrome. |
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However, whether abdominal obesity significantly affects plasma lipid profile during the development of type 2 diabetes has not been fully elucidated. We investigated the differences in plasma lipid concentrations in 63 participants categorized into six groups (middle-aged Korean men); Normal, Pre-diabetes (pre-DM), and Diabetes mellitus (DM) with or without abdominal obesity (AO or lean). The lipidomic profiles were determined by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Sphingomyelin (SM) levels in plasma were significantly higher in the pre-DM with AO than in pre-DM with lean (p = 0.021). SM concentrations correlated positively with waist-to-hip ratio (WHR) (r = 0.256, p = 0.044), cholesteryl ester (CE) (r = 0.483, p < 0.0001), ceramide (r = 0.489, p < 0.0001) and plasmanyl phosphatidylcholine (PC) (r = 0.446, p < 0.0001). The present study found that pre-diabetic patients with AO were characterized by increased plasma concentrations of SM. Plasma SM levels in individuals with AO may be an early prognostic biomarker to better predict the progression toward type 2 diabetes and metabolic syndrome.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0213285</identifier><identifier>PMID: 30835753</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abdomen ; Adipose tissue ; Adult ; Asian Americans ; Biology and Life Sciences ; Biomarkers ; Biomarkers - blood ; Blood plasma ; Blood pressure ; Body mass index ; Ceramide ; Chromatography ; Development and progression ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetics ; Endocrinology ; Glucose ; Health aspects ; Health risks ; Hemoglobin ; Hip ; Humans ; Hypertension ; Incidence ; Insulin resistance ; Lecithin ; Lipids ; Lipids - blood ; Liquid chromatography ; Liver ; Male ; Mass spectrometry ; Mass spectroscopy ; Medical research ; Medicine ; Medicine and Health Sciences ; Metabolic syndrome ; Metabolism ; Metabolites ; Middle Aged ; Obesity ; Obesity, Abdominal - blood ; Obesity, Abdominal - physiopathology ; Pharmaceutical sciences ; Pharmacy ; Phosphatidylcholine ; Phospholipids ; Physiology ; Plant lipids ; Prediabetic state ; Prediabetic State - blood ; Prediabetic State - epidemiology ; Republic of Korea - epidemiology ; Risk analysis ; Risk Factors ; Spectroscopy ; Sphingolipids ; Sphingomyelin ; Sphingomyelins - blood ; Type 2 diabetes</subject><ispartof>PloS one, 2019-03, Vol.14 (3), p.e0213285</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Im et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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However, whether abdominal obesity significantly affects plasma lipid profile during the development of type 2 diabetes has not been fully elucidated. We investigated the differences in plasma lipid concentrations in 63 participants categorized into six groups (middle-aged Korean men); Normal, Pre-diabetes (pre-DM), and Diabetes mellitus (DM) with or without abdominal obesity (AO or lean). The lipidomic profiles were determined by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Sphingomyelin (SM) levels in plasma were significantly higher in the pre-DM with AO than in pre-DM with lean (p = 0.021). SM concentrations correlated positively with waist-to-hip ratio (WHR) (r = 0.256, p = 0.044), cholesteryl ester (CE) (r = 0.483, p < 0.0001), ceramide (r = 0.489, p < 0.0001) and plasmanyl phosphatidylcholine (PC) (r = 0.446, p < 0.0001). The present study found that pre-diabetic patients with AO were characterized by increased plasma concentrations of SM. Plasma SM levels in individuals with AO may be an early prognostic biomarker to better predict the progression toward type 2 diabetes and metabolic syndrome.</description><subject>Abdomen</subject><subject>Adipose tissue</subject><subject>Adult</subject><subject>Asian Americans</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood plasma</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Ceramide</subject><subject>Chromatography</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetics</subject><subject>Endocrinology</subject><subject>Glucose</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hemoglobin</subject><subject>Hip</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Incidence</subject><subject>Insulin resistance</subject><subject>Lecithin</subject><subject>Lipids</subject><subject>Lipids - blood</subject><subject>Liquid chromatography</subject><subject>Liver</subject><subject>Male</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic syndrome</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Obesity, Abdominal - blood</subject><subject>Obesity, Abdominal - physiopathology</subject><subject>Pharmaceutical sciences</subject><subject>Pharmacy</subject><subject>Phosphatidylcholine</subject><subject>Phospholipids</subject><subject>Physiology</subject><subject>Plant lipids</subject><subject>Prediabetic state</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - epidemiology</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Spectroscopy</subject><subject>Sphingolipids</subject><subject>Sphingomyelin</subject><subject>Sphingomyelins - 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blood</topic><topic>Blood plasma</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Ceramide</topic><topic>Chromatography</topic><topic>Development and progression</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetics</topic><topic>Endocrinology</topic><topic>Glucose</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Hemoglobin</topic><topic>Hip</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Incidence</topic><topic>Insulin resistance</topic><topic>Lecithin</topic><topic>Lipids</topic><topic>Lipids - blood</topic><topic>Liquid chromatography</topic><topic>Liver</topic><topic>Male</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic syndrome</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Obesity, Abdominal - blood</topic><topic>Obesity, Abdominal - physiopathology</topic><topic>Pharmaceutical sciences</topic><topic>Pharmacy</topic><topic>Phosphatidylcholine</topic><topic>Phospholipids</topic><topic>Physiology</topic><topic>Plant lipids</topic><topic>Prediabetic state</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - epidemiology</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Spectroscopy</topic><topic>Sphingolipids</topic><topic>Sphingomyelin</topic><topic>Sphingomyelins - blood</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Im, Seung-Soon</creatorcontrib><creatorcontrib>Park, Hyeon Young</creatorcontrib><creatorcontrib>Shon, Jong Cheol</creatorcontrib><creatorcontrib>Chung, In-Sung</creatorcontrib><creatorcontrib>Cho, Ho Chan</creatorcontrib><creatorcontrib>Liu, Kwang-Hyeon</creatorcontrib><creatorcontrib>Song, Dae-Kyu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database (ProQuest)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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However, whether abdominal obesity significantly affects plasma lipid profile during the development of type 2 diabetes has not been fully elucidated. We investigated the differences in plasma lipid concentrations in 63 participants categorized into six groups (middle-aged Korean men); Normal, Pre-diabetes (pre-DM), and Diabetes mellitus (DM) with or without abdominal obesity (AO or lean). The lipidomic profiles were determined by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Sphingomyelin (SM) levels in plasma were significantly higher in the pre-DM with AO than in pre-DM with lean (p = 0.021). SM concentrations correlated positively with waist-to-hip ratio (WHR) (r = 0.256, p = 0.044), cholesteryl ester (CE) (r = 0.483, p < 0.0001), ceramide (r = 0.489, p < 0.0001) and plasmanyl phosphatidylcholine (PC) (r = 0.446, p < 0.0001). The present study found that pre-diabetic patients with AO were characterized by increased plasma concentrations of SM. Plasma SM levels in individuals with AO may be an early prognostic biomarker to better predict the progression toward type 2 diabetes and metabolic syndrome.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30835753</pmid><doi>10.1371/journal.pone.0213285</doi><tpages>e0213285</tpages><orcidid>https://orcid.org/0000-0002-3285-5594</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abdomen Adipose tissue Adult Asian Americans Biology and Life Sciences Biomarkers Biomarkers - blood Blood plasma Blood pressure Body mass index Ceramide Chromatography Development and progression Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetics Endocrinology Glucose Health aspects Health risks Hemoglobin Hip Humans Hypertension Incidence Insulin resistance Lecithin Lipids Lipids - blood Liquid chromatography Liver Male Mass spectrometry Mass spectroscopy Medical research Medicine Medicine and Health Sciences Metabolic syndrome Metabolism Metabolites Middle Aged Obesity Obesity, Abdominal - blood Obesity, Abdominal - physiopathology Pharmaceutical sciences Pharmacy Phosphatidylcholine Phospholipids Physiology Plant lipids Prediabetic state Prediabetic State - blood Prediabetic State - epidemiology Republic of Korea - epidemiology Risk analysis Risk Factors Spectroscopy Sphingolipids Sphingomyelin Sphingomyelins - blood Type 2 diabetes |
title | Plasma sphingomyelins increase in pre-diabetic Korean men with abdominal obesity |
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