The differential plasma proteome of obese and overweight individuals undergoing a nutritional weight loss and maintenance intervention
Purpose The nutritional intervention program “DiOGenes” focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relatio...
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| Veröffentlicht in: | Proteomics. Clinical applications 2018-01, Vol.12 (1), p.n/a |
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| creator | Oller Moreno, Sergio Cominetti, Ornella Núñez Galindo, Antonio Irincheeva, Irina Corthésy, John Astrup, Arne Saris, Wim H.M. Hager, Jörg Kussmann, Martin Dayon, Loïc |
| description | Purpose
The nutritional intervention program “DiOGenes” focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relation to body mass index, fat mass, insulin resistance, and sensitivity.
Experimental design
Relative protein quantification was obtained at baseline and after combined weight loss/maintenance phases using isobaric tagging and MS/MS. A Welch t‐test determined proteins differentially present after intervention. Protein relationships with clinical variables were explored using univariate linear models, considering collection center, gender and age as confounding factors.
Results
Four hundred and seventy three subjects were measured at baseline and end of the intervention; 39 proteins were longitudinally differential. Proteins with largest changes were sex hormone‐binding globulin, adiponectin, C‐reactive protein, calprotectin, serum amyloid A, and proteoglycan 4 (PRG4), whose association with obesity and weight loss is known. We identified new putative biomarkers for weight loss/maintenance. Correlation between PRG4 and proline‐rich acidic protein 1 variation and Matsuda insulin sensitivity increment was showed.
Conclusion and clinical relevance
MS‐based proteomic analysis of a large cohort of non‐diabetic overweight and obese individuals concomitantly identified known and novel proteins associated with weight loss and maintenance. |
| doi_str_mv | 10.1002/prca.201600150 |
| format | Article |
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The nutritional intervention program “DiOGenes” focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relation to body mass index, fat mass, insulin resistance, and sensitivity.
Experimental design
Relative protein quantification was obtained at baseline and after combined weight loss/maintenance phases using isobaric tagging and MS/MS. A Welch t‐test determined proteins differentially present after intervention. Protein relationships with clinical variables were explored using univariate linear models, considering collection center, gender and age as confounding factors.
Results
Four hundred and seventy three subjects were measured at baseline and end of the intervention; 39 proteins were longitudinally differential. Proteins with largest changes were sex hormone‐binding globulin, adiponectin, C‐reactive protein, calprotectin, serum amyloid A, and proteoglycan 4 (PRG4), whose association with obesity and weight loss is known. We identified new putative biomarkers for weight loss/maintenance. Correlation between PRG4 and proline‐rich acidic protein 1 variation and Matsuda insulin sensitivity increment was showed.
Conclusion and clinical relevance
MS‐based proteomic analysis of a large cohort of non‐diabetic overweight and obese individuals concomitantly identified known and novel proteins associated with weight loss and maintenance.</description><identifier>ISSN: 1862-8346</identifier><identifier>EISSN: 1862-8354</identifier><identifier>DOI: 10.1002/prca.201600150</identifier><identifier>PMID: 28371297</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Adiponectin ; Adiponectin - blood ; Adiponectin - genetics ; Adult ; Amyloid ; Biomarker ; Biomarkers ; Biomarkers - blood ; Blood Proteins - genetics ; Blood Proteins - metabolism ; Body fat ; Body mass ; Body Mass Index ; Body size ; Body weight ; Body weight loss ; C-reactive protein ; C-Reactive Protein - genetics ; C-Reactive Protein - metabolism ; Diabetes ; Diabetes mellitus ; Diet, Reducing - methods ; Experimental design ; Female ; Gender ; Globulins ; Humans ; Insulin ; Insulin Resistance ; Large‐scale study ; Leukocyte L1 Antigen Complex - blood ; Leukocyte L1 Antigen Complex - genetics ; Longitudinal Studies ; Maintenance ; Male ; Mass spectrometry ; Middle Aged ; Obesity ; Obesity - blood ; Obesity - diet therapy ; Obesity - genetics ; Obesity - pathology ; Overweight ; Pregnancy Proteins - blood ; Pregnancy Proteins - genetics ; Proline ; Proteins ; Proteoglycans - blood ; Proteoglycans - genetics ; Proteome - genetics ; Proteome - metabolism ; Sensitivity ; Sensitivity analysis ; Serum Amyloid A Protein - genetics ; Serum Amyloid A Protein - metabolism ; Sex Hormone-Binding Globulin - genetics ; Sex Hormone-Binding Globulin - metabolism ; Tandem Mass Spectrometry ; Weight control ; Weight loss ; Weight Loss - physiology ; Weight Reduction Programs - methods</subject><ispartof>Proteomics. Clinical applications, 2018-01, Vol.12 (1), p.n/a</ispartof><rights>2017 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</rights><rights>2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.</rights><rights>2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4080-385163ce7f59ab8e08611fbada460adba3cba216d48c59f7c9c2fb3848198eff3</citedby><cites>FETCH-LOGICAL-c4080-385163ce7f59ab8e08611fbada460adba3cba216d48c59f7c9c2fb3848198eff3</cites><orcidid>0000-0002-8499-270X ; 0000-0002-8994-1549</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fprca.201600150$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fprca.201600150$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28371297$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oller Moreno, Sergio</creatorcontrib><creatorcontrib>Cominetti, Ornella</creatorcontrib><creatorcontrib>Núñez Galindo, Antonio</creatorcontrib><creatorcontrib>Irincheeva, Irina</creatorcontrib><creatorcontrib>Corthésy, John</creatorcontrib><creatorcontrib>Astrup, Arne</creatorcontrib><creatorcontrib>Saris, Wim H.M.</creatorcontrib><creatorcontrib>Hager, Jörg</creatorcontrib><creatorcontrib>Kussmann, Martin</creatorcontrib><creatorcontrib>Dayon, Loïc</creatorcontrib><title>The differential plasma proteome of obese and overweight individuals undergoing a nutritional weight loss and maintenance intervention</title><title>Proteomics. Clinical applications</title><addtitle>Proteomics Clin Appl</addtitle><description>Purpose
The nutritional intervention program “DiOGenes” focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relation to body mass index, fat mass, insulin resistance, and sensitivity.
Experimental design
Relative protein quantification was obtained at baseline and after combined weight loss/maintenance phases using isobaric tagging and MS/MS. A Welch t‐test determined proteins differentially present after intervention. Protein relationships with clinical variables were explored using univariate linear models, considering collection center, gender and age as confounding factors.
Results
Four hundred and seventy three subjects were measured at baseline and end of the intervention; 39 proteins were longitudinally differential. Proteins with largest changes were sex hormone‐binding globulin, adiponectin, C‐reactive protein, calprotectin, serum amyloid A, and proteoglycan 4 (PRG4), whose association with obesity and weight loss is known. We identified new putative biomarkers for weight loss/maintenance. Correlation between PRG4 and proline‐rich acidic protein 1 variation and Matsuda insulin sensitivity increment was showed.
Conclusion and clinical relevance
MS‐based proteomic analysis of a large cohort of non‐diabetic overweight and obese individuals concomitantly identified known and novel proteins associated with weight loss and maintenance.</description><subject>Adiponectin</subject><subject>Adiponectin - blood</subject><subject>Adiponectin - genetics</subject><subject>Adult</subject><subject>Amyloid</subject><subject>Biomarker</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood Proteins - genetics</subject><subject>Blood Proteins - metabolism</subject><subject>Body fat</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Body weight loss</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - genetics</subject><subject>C-Reactive Protein - metabolism</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diet, Reducing - methods</subject><subject>Experimental design</subject><subject>Female</subject><subject>Gender</subject><subject>Globulins</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin Resistance</subject><subject>Large‐scale study</subject><subject>Leukocyte L1 Antigen Complex - blood</subject><subject>Leukocyte L1 Antigen Complex - genetics</subject><subject>Longitudinal Studies</subject><subject>Maintenance</subject><subject>Male</subject><subject>Mass spectrometry</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Obesity - blood</subject><subject>Obesity - diet therapy</subject><subject>Obesity - genetics</subject><subject>Obesity - pathology</subject><subject>Overweight</subject><subject>Pregnancy Proteins - blood</subject><subject>Pregnancy Proteins - genetics</subject><subject>Proline</subject><subject>Proteins</subject><subject>Proteoglycans - blood</subject><subject>Proteoglycans - genetics</subject><subject>Proteome - genetics</subject><subject>Proteome - metabolism</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Serum Amyloid A Protein - genetics</subject><subject>Serum Amyloid A Protein - metabolism</subject><subject>Sex Hormone-Binding Globulin - genetics</subject><subject>Sex Hormone-Binding Globulin - metabolism</subject><subject>Tandem Mass Spectrometry</subject><subject>Weight control</subject><subject>Weight loss</subject><subject>Weight Loss - physiology</subject><subject>Weight Reduction Programs - methods</subject><issn>1862-8346</issn><issn>1862-8354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1v1DAQhi0EoqVw5YgsceGyi-04yeRYrfiSKoFQOUcTe7x1ldiLnWzVP8Dvxssue-DCaebwzDN69TL2Woq1FEK93yWDayVkI4SsxRN2KaFRK6hq_fS86-aCvcj5Xohaq1Y8ZxcKqlaqrr1kv27viFvvHCUKs8eR70bME_JdijPFiXh0PA6UiWOwPO4pPZDf3s3cB-v33i44Zr4ES2kbfdhy5GGZk599DEV2YseY85_7CX2YKWAwxA9b2h--xvCSPXNFRK9O84r9-PjhdvN5dfP105fN9c3KaAFiVUEtm8pQ6-oOByABjZRuQIu6EWgHrMyASjZWg6k715rOKDdUoEF2QM5VV-zd0Vvi_Vwoz_3ks6FxxEBxyb0E0LIVqhYFffsPeh-XVEIVqoO26wAaKNT6SJlUMiZy_S75CdNjL0V_aKg_NNSfGyoHb07aZZjInvG_lRRAH4EHP9Ljf3T9t--bawnF-xuKe5-k</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Oller Moreno, Sergio</creator><creator>Cominetti, Ornella</creator><creator>Núñez Galindo, Antonio</creator><creator>Irincheeva, Irina</creator><creator>Corthésy, John</creator><creator>Astrup, Arne</creator><creator>Saris, Wim H.M.</creator><creator>Hager, Jörg</creator><creator>Kussmann, Martin</creator><creator>Dayon, Loïc</creator><general>Wiley Subscription Services, Inc</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>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8499-270X</orcidid><orcidid>https://orcid.org/0000-0002-8994-1549</orcidid></search><sort><creationdate>201801</creationdate><title>The differential plasma proteome of obese and overweight individuals undergoing a nutritional weight loss and maintenance intervention</title><author>Oller Moreno, Sergio ; Cominetti, Ornella ; Núñez Galindo, Antonio ; Irincheeva, Irina ; Corthésy, John ; Astrup, Arne ; Saris, Wim H.M. ; Hager, Jörg ; Kussmann, Martin ; Dayon, Loïc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4080-385163ce7f59ab8e08611fbada460adba3cba216d48c59f7c9c2fb3848198eff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adiponectin</topic><topic>Adiponectin - blood</topic><topic>Adiponectin - genetics</topic><topic>Adult</topic><topic>Amyloid</topic><topic>Biomarker</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Blood Proteins - genetics</topic><topic>Blood Proteins - metabolism</topic><topic>Body fat</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Body weight loss</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - genetics</topic><topic>C-Reactive Protein - metabolism</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diet, Reducing - methods</topic><topic>Experimental design</topic><topic>Female</topic><topic>Gender</topic><topic>Globulins</topic><topic>Humans</topic><topic>Insulin</topic><topic>Insulin Resistance</topic><topic>Large‐scale study</topic><topic>Leukocyte L1 Antigen Complex - blood</topic><topic>Leukocyte L1 Antigen Complex - genetics</topic><topic>Longitudinal Studies</topic><topic>Maintenance</topic><topic>Male</topic><topic>Mass spectrometry</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Obesity - blood</topic><topic>Obesity - diet therapy</topic><topic>Obesity - genetics</topic><topic>Obesity - pathology</topic><topic>Overweight</topic><topic>Pregnancy Proteins - blood</topic><topic>Pregnancy Proteins - genetics</topic><topic>Proline</topic><topic>Proteins</topic><topic>Proteoglycans - blood</topic><topic>Proteoglycans - genetics</topic><topic>Proteome - genetics</topic><topic>Proteome - metabolism</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Serum Amyloid A Protein - genetics</topic><topic>Serum Amyloid A Protein - metabolism</topic><topic>Sex Hormone-Binding Globulin - genetics</topic><topic>Sex Hormone-Binding Globulin - metabolism</topic><topic>Tandem Mass Spectrometry</topic><topic>Weight control</topic><topic>Weight loss</topic><topic>Weight Loss - physiology</topic><topic>Weight Reduction Programs - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oller Moreno, Sergio</creatorcontrib><creatorcontrib>Cominetti, Ornella</creatorcontrib><creatorcontrib>Núñez Galindo, Antonio</creatorcontrib><creatorcontrib>Irincheeva, Irina</creatorcontrib><creatorcontrib>Corthésy, John</creatorcontrib><creatorcontrib>Astrup, Arne</creatorcontrib><creatorcontrib>Saris, Wim H.M.</creatorcontrib><creatorcontrib>Hager, Jörg</creatorcontrib><creatorcontrib>Kussmann, Martin</creatorcontrib><creatorcontrib>Dayon, Loïc</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Proteomics. Clinical applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oller Moreno, Sergio</au><au>Cominetti, Ornella</au><au>Núñez Galindo, Antonio</au><au>Irincheeva, Irina</au><au>Corthésy, John</au><au>Astrup, Arne</au><au>Saris, Wim H.M.</au><au>Hager, Jörg</au><au>Kussmann, Martin</au><au>Dayon, Loïc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The differential plasma proteome of obese and overweight individuals undergoing a nutritional weight loss and maintenance intervention</atitle><jtitle>Proteomics. Clinical applications</jtitle><addtitle>Proteomics Clin Appl</addtitle><date>2018-01</date><risdate>2018</risdate><volume>12</volume><issue>1</issue><epage>n/a</epage><issn>1862-8346</issn><eissn>1862-8354</eissn><abstract>Purpose
The nutritional intervention program “DiOGenes” focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relation to body mass index, fat mass, insulin resistance, and sensitivity.
Experimental design
Relative protein quantification was obtained at baseline and after combined weight loss/maintenance phases using isobaric tagging and MS/MS. A Welch t‐test determined proteins differentially present after intervention. Protein relationships with clinical variables were explored using univariate linear models, considering collection center, gender and age as confounding factors.
Results
Four hundred and seventy three subjects were measured at baseline and end of the intervention; 39 proteins were longitudinally differential. Proteins with largest changes were sex hormone‐binding globulin, adiponectin, C‐reactive protein, calprotectin, serum amyloid A, and proteoglycan 4 (PRG4), whose association with obesity and weight loss is known. We identified new putative biomarkers for weight loss/maintenance. Correlation between PRG4 and proline‐rich acidic protein 1 variation and Matsuda insulin sensitivity increment was showed.
Conclusion and clinical relevance
MS‐based proteomic analysis of a large cohort of non‐diabetic overweight and obese individuals concomitantly identified known and novel proteins associated with weight loss and maintenance.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>28371297</pmid><doi>10.1002/prca.201600150</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-8499-270X</orcidid><orcidid>https://orcid.org/0000-0002-8994-1549</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1862-8346 |
| ispartof | Proteomics. Clinical applications, 2018-01, Vol.12 (1), p.n/a |
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| subjects | Adiponectin Adiponectin - blood Adiponectin - genetics Adult Amyloid Biomarker Biomarkers Biomarkers - blood Blood Proteins - genetics Blood Proteins - metabolism Body fat Body mass Body Mass Index Body size Body weight Body weight loss C-reactive protein C-Reactive Protein - genetics C-Reactive Protein - metabolism Diabetes Diabetes mellitus Diet, Reducing - methods Experimental design Female Gender Globulins Humans Insulin Insulin Resistance Large‐scale study Leukocyte L1 Antigen Complex - blood Leukocyte L1 Antigen Complex - genetics Longitudinal Studies Maintenance Male Mass spectrometry Middle Aged Obesity Obesity - blood Obesity - diet therapy Obesity - genetics Obesity - pathology Overweight Pregnancy Proteins - blood Pregnancy Proteins - genetics Proline Proteins Proteoglycans - blood Proteoglycans - genetics Proteome - genetics Proteome - metabolism Sensitivity Sensitivity analysis Serum Amyloid A Protein - genetics Serum Amyloid A Protein - metabolism Sex Hormone-Binding Globulin - genetics Sex Hormone-Binding Globulin - metabolism Tandem Mass Spectrometry Weight control Weight loss Weight Loss - physiology Weight Reduction Programs - methods |
| title | The differential plasma proteome of obese and overweight individuals undergoing a nutritional weight loss and maintenance intervention |
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