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Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes
Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased ri...
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| Published in: | Clinica chimica acta 2016-12, Vol.463, p.53-61 |
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| container_title | Clinica chimica acta |
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| creator | Tulipani, Sara Palau-Rodriguez, Magali Miñarro Alonso, Antonio Cardona, Fernando Marco-Ramell, Anna Zonja, Bozo Lopez de Alda, Miren Muñoz-Garach, Araceli Sanchez-Pla, Alejandro Tinahones, Francisco J Andres-Lacueva, Cristina |
| description | Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased risk of developing diabetes [prediabetic insulin resistant state versus non-prediabetic non-insulin resistant] was analyzed by LC- and FIA-ESI-MS/MS–driven metabolomic approaches.
Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=−0.56, p=0.0003; lysoPC C18:1: R=−0.61, p=0.0001; lysoPC C18:2 R=−0.64, p |
| doi_str_mv | 10.1016/j.cca.2016.10.005 |
| format | article |
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Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=−0.56, p=0.0003; lysoPC C18:1: R=−0.61, p=0.0001; lysoPC C18:2 R=−0.64, p<0.0001]. Several amino acids were biomarkers of risk of diabetes onset associated to obesity. For instance, glutamate significantly associated with fasting insulin [R=0.5, p=0.0019] and HOMA-IR [R=0.46, p=0.0072], while glycine showed negative associations [fasting insulin: R=−0.51, p=0.0017; HOMA-IR: R=−0.49, p=0.0033], and the branched chain amino acid valine associated to prediabetes and insulin resistance in a BMI-independent manner [fasting insulin: R=0.37, p=0.0479; HOMA-IR: R=0.37, p=0.0468]. Minority sphingolipids including specific [dihydro]ceramides and sphingomyelins also associated with the prediabetic insulin resistant state, hence deserving attention as potential targets for early diagnosis or therapeutic intervention.
•Metabolomic studies on the obesity and type 2 diabetes relationship are scarce.•Decreased (lyso)glycerophospholipids significantly associated to obesity•This decrease was independent from the glycemic state of the individuals•Glutamate and glycine were biomarkers of early diabetes onset associated to obesity•Valine (BCAA) associated to prediabetes in a BMI-independent manner</description><identifier>ISSN: 0009-8981</identifier><identifier>EISSN: 1873-3492</identifier><identifier>DOI: 10.1016/j.cca.2016.10.005</identifier><identifier>PMID: 27720726</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adult ; Biomarkers - blood ; Biomarkers - metabolism ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - metabolism ; Female ; Humans ; Male ; mass spectrometry ; metabolic markers ; Metabolomics ; Middle Aged ; obesity ; Obesity, Morbid - blood ; Obesity, Morbid - diagnosis ; Obesity, Morbid - metabolism ; observational study ; Phenotype ; prediabetes ; Prediabetic State - blood ; Prediabetic State - diagnosis ; Prediabetic State - metabolism</subject><ispartof>Clinica chimica acta, 2016-12, Vol.463, p.53-61</ispartof><rights>2016 Elsevier B.V.</rights><rights>Copyright © 2016 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-b44fac74a8225e3b93830b34cd313a0e0b832bd59c85bfe11c93432718e13b8e3</citedby><cites>FETCH-LOGICAL-c396t-b44fac74a8225e3b93830b34cd313a0e0b832bd59c85bfe11c93432718e13b8e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27720726$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tulipani, Sara</creatorcontrib><creatorcontrib>Palau-Rodriguez, Magali</creatorcontrib><creatorcontrib>Miñarro Alonso, Antonio</creatorcontrib><creatorcontrib>Cardona, Fernando</creatorcontrib><creatorcontrib>Marco-Ramell, Anna</creatorcontrib><creatorcontrib>Zonja, Bozo</creatorcontrib><creatorcontrib>Lopez de Alda, Miren</creatorcontrib><creatorcontrib>Muñoz-Garach, Araceli</creatorcontrib><creatorcontrib>Sanchez-Pla, Alejandro</creatorcontrib><creatorcontrib>Tinahones, Francisco J</creatorcontrib><creatorcontrib>Andres-Lacueva, Cristina</creatorcontrib><title>Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes</title><title>Clinica chimica acta</title><addtitle>Clin Chim Acta</addtitle><description>Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased risk of developing diabetes [prediabetic insulin resistant state versus non-prediabetic non-insulin resistant] was analyzed by LC- and FIA-ESI-MS/MS–driven metabolomic approaches.
Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=−0.56, p=0.0003; lysoPC C18:1: R=−0.61, p=0.0001; lysoPC C18:2 R=−0.64, p<0.0001]. Several amino acids were biomarkers of risk of diabetes onset associated to obesity. For instance, glutamate significantly associated with fasting insulin [R=0.5, p=0.0019] and HOMA-IR [R=0.46, p=0.0072], while glycine showed negative associations [fasting insulin: R=−0.51, p=0.0017; HOMA-IR: R=−0.49, p=0.0033], and the branched chain amino acid valine associated to prediabetes and insulin resistance in a BMI-independent manner [fasting insulin: R=0.37, p=0.0479; HOMA-IR: R=0.37, p=0.0468]. Minority sphingolipids including specific [dihydro]ceramides and sphingomyelins also associated with the prediabetic insulin resistant state, hence deserving attention as potential targets for early diagnosis or therapeutic intervention.
•Metabolomic studies on the obesity and type 2 diabetes relationship are scarce.•Decreased (lyso)glycerophospholipids significantly associated to obesity•This decrease was independent from the glycemic state of the individuals•Glutamate and glycine were biomarkers of early diabetes onset associated to obesity•Valine (BCAA) associated to prediabetes in a BMI-independent manner</description><subject>Adult</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - metabolism</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - metabolism</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>mass spectrometry</subject><subject>metabolic markers</subject><subject>Metabolomics</subject><subject>Middle Aged</subject><subject>obesity</subject><subject>Obesity, Morbid - blood</subject><subject>Obesity, Morbid - diagnosis</subject><subject>Obesity, Morbid - metabolism</subject><subject>observational study</subject><subject>Phenotype</subject><subject>prediabetes</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - diagnosis</subject><subject>Prediabetic State - metabolism</subject><issn>0009-8981</issn><issn>1873-3492</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kElPwzAUhC0EgrL8AC7IRy4p3tI44gRllajKAc6WlxdwSeJip0j997gqcORkz_PM6PlD6JSSMSV0crEYW6vHLF-zHhNS7qARlRUvuKjZLhoRQupC1pIeoMOUFlkKMqH76IBVFSMVm4yQu_ah0_EDYsKhwbMQjXd4biD5YY117_BzBOe1gQESNms8g0Gb0IbO2_wUGt_6_m0TfVh1usc3PtkQne4H_PwOfRjWS0jHaK_RbYKTn_MIvd7dvkwfiqf5_eP06qmwvJ4MhRGi0bYSWjJWAjc1l5wYLqzjlGsCxEjOjCtrK0vTAKW25oKzikqg3EjgR-h827uM4XMFaVBdXgfaVvcQVklRyUtBCKMiW-nWamNIKUKjltFnEGtFidrAVQuV4aoN3M0ow82Zs5_6lenA_SV-aWbD5dYA-ZNfHqJK1kNvM8AIdlAu-H_qvwFJRIoV</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Tulipani, Sara</creator><creator>Palau-Rodriguez, Magali</creator><creator>Miñarro Alonso, Antonio</creator><creator>Cardona, Fernando</creator><creator>Marco-Ramell, Anna</creator><creator>Zonja, Bozo</creator><creator>Lopez de Alda, Miren</creator><creator>Muñoz-Garach, Araceli</creator><creator>Sanchez-Pla, Alejandro</creator><creator>Tinahones, Francisco J</creator><creator>Andres-Lacueva, Cristina</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20161201</creationdate><title>Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes</title><author>Tulipani, Sara ; Palau-Rodriguez, Magali ; Miñarro Alonso, Antonio ; Cardona, Fernando ; Marco-Ramell, Anna ; Zonja, Bozo ; Lopez de Alda, Miren ; Muñoz-Garach, Araceli ; Sanchez-Pla, Alejandro ; Tinahones, Francisco J ; Andres-Lacueva, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-b44fac74a8225e3b93830b34cd313a0e0b832bd59c85bfe11c93432718e13b8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - metabolism</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diabetes Mellitus, Type 2 - metabolism</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>mass spectrometry</topic><topic>metabolic markers</topic><topic>Metabolomics</topic><topic>Middle Aged</topic><topic>obesity</topic><topic>Obesity, Morbid - blood</topic><topic>Obesity, Morbid - diagnosis</topic><topic>Obesity, Morbid - metabolism</topic><topic>observational study</topic><topic>Phenotype</topic><topic>prediabetes</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - diagnosis</topic><topic>Prediabetic State - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tulipani, Sara</creatorcontrib><creatorcontrib>Palau-Rodriguez, Magali</creatorcontrib><creatorcontrib>Miñarro Alonso, Antonio</creatorcontrib><creatorcontrib>Cardona, Fernando</creatorcontrib><creatorcontrib>Marco-Ramell, Anna</creatorcontrib><creatorcontrib>Zonja, Bozo</creatorcontrib><creatorcontrib>Lopez de Alda, Miren</creatorcontrib><creatorcontrib>Muñoz-Garach, Araceli</creatorcontrib><creatorcontrib>Sanchez-Pla, Alejandro</creatorcontrib><creatorcontrib>Tinahones, Francisco J</creatorcontrib><creatorcontrib>Andres-Lacueva, Cristina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinica chimica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tulipani, Sara</au><au>Palau-Rodriguez, Magali</au><au>Miñarro Alonso, Antonio</au><au>Cardona, Fernando</au><au>Marco-Ramell, Anna</au><au>Zonja, Bozo</au><au>Lopez de Alda, Miren</au><au>Muñoz-Garach, Araceli</au><au>Sanchez-Pla, Alejandro</au><au>Tinahones, Francisco J</au><au>Andres-Lacueva, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes</atitle><jtitle>Clinica chimica acta</jtitle><addtitle>Clin Chim Acta</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>463</volume><spage>53</spage><epage>61</epage><pages>53-61</pages><issn>0009-8981</issn><eissn>1873-3492</eissn><abstract>Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased risk of developing diabetes [prediabetic insulin resistant state versus non-prediabetic non-insulin resistant] was analyzed by LC- and FIA-ESI-MS/MS–driven metabolomic approaches.
Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=−0.56, p=0.0003; lysoPC C18:1: R=−0.61, p=0.0001; lysoPC C18:2 R=−0.64, p<0.0001]. Several amino acids were biomarkers of risk of diabetes onset associated to obesity. For instance, glutamate significantly associated with fasting insulin [R=0.5, p=0.0019] and HOMA-IR [R=0.46, p=0.0072], while glycine showed negative associations [fasting insulin: R=−0.51, p=0.0017; HOMA-IR: R=−0.49, p=0.0033], and the branched chain amino acid valine associated to prediabetes and insulin resistance in a BMI-independent manner [fasting insulin: R=0.37, p=0.0479; HOMA-IR: R=0.37, p=0.0468]. Minority sphingolipids including specific [dihydro]ceramides and sphingomyelins also associated with the prediabetic insulin resistant state, hence deserving attention as potential targets for early diagnosis or therapeutic intervention.
•Metabolomic studies on the obesity and type 2 diabetes relationship are scarce.•Decreased (lyso)glycerophospholipids significantly associated to obesity•This decrease was independent from the glycemic state of the individuals•Glutamate and glycine were biomarkers of early diabetes onset associated to obesity•Valine (BCAA) associated to prediabetes in a BMI-independent manner</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>27720726</pmid><doi>10.1016/j.cca.2016.10.005</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| subjects | Adult Biomarkers - blood Biomarkers - metabolism Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - metabolism Female Humans Male mass spectrometry metabolic markers Metabolomics Middle Aged obesity Obesity, Morbid - blood Obesity, Morbid - diagnosis Obesity, Morbid - metabolism observational study Phenotype prediabetes Prediabetic State - blood Prediabetic State - diagnosis Prediabetic State - metabolism |
| title | Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes |
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