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Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort
Background/Aims. Obesity is a well-established risk factor for the development of numerous chronic diseases. However, there is a small proportion of obese individuals that seem to escape these aforementioned conditions—Metabolically Healthy Obesity (MHO). Our aim was to do a metabolic and biomarker...
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Published in: | Journal of obesity 2021-10, Vol.2021, p.1-9 |
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container_title | Journal of obesity |
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description | Background/Aims. Obesity is a well-established risk factor for the development of numerous chronic diseases. However, there is a small proportion of obese individuals that seem to escape these aforementioned conditions—Metabolically Healthy Obesity (MHO). Our aim was to do a metabolic and biomarker profiling of MHO individuals. Method. Associations between different biomarkers (proteomics, lipidomics, and metabolomics) coupled to either MHO or metabolically unhealthy obese (MUO) individuals were analyzed through principal component analysis (PCA). Subjects were identified from a subsample of 416 obese individuals, selected from the Malmö Diet and Cancer study—Cardiovascular arm (MDCS-CV, n = 3,443). They were further divided into MHO (n = 143) and MUO (n = 273) defined by a history of hospitalization, or not, at baseline inclusion, and nonobese subjects (NOC, n = 3,027). Two distinctive principle components (PL2, PP5) were discovered with a significant difference and thus further investigated through their main loadings. Results. MHO individuals had a more metabolically favorable lipid and glucose profile than MUO subjects, that is, lower levels of traditional blood glucose and triglycerides, as well as a trend of lower metabolically unfavorable lipid biomarkers. PL2 (lipidomics, p=0.02) showed stronger associations of triacylglycerides with MUO, whereas phospholipids correlated with MHO. PP5 (proteomics, p=0.01) included interleukin-1 receptor antagonist (IL-1ra) and leptin with positive relations to MUO and galanin that correlated positively to MHO. The group differences in metabolite profiles were to a large extent explained by factors included in the metabolic syndrome. Conclusion. Compared to MUO individuals, corresponding MHO individuals present with a more favorable lipid metabolic profile, accompanied by a downregulation of potentially harmful proteomic biomarkers. This unique and extensive biomarker profiling presents novel data on potentially differentiating traits between these two obese phenotypes. |
doi_str_mv | 10.1155/2021/6616983 |
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M. ; Melander, O. ; Gerl, M. J. ; Engström, G. ; Bachus, E. ; Magnusson, M. ; Ottosson, F.</creator><contributor>Fisher, Gordon ; Gordon Fisher</contributor><creatorcontrib>Korduner, J. ; Nilsson, P. M. ; Melander, O. ; Gerl, M. J. ; Engström, G. ; Bachus, E. ; Magnusson, M. ; Ottosson, F. ; Fisher, Gordon ; Gordon Fisher</creatorcontrib><description>Background/Aims. Obesity is a well-established risk factor for the development of numerous chronic diseases. However, there is a small proportion of obese individuals that seem to escape these aforementioned conditions—Metabolically Healthy Obesity (MHO). Our aim was to do a metabolic and biomarker profiling of MHO individuals. Method. Associations between different biomarkers (proteomics, lipidomics, and metabolomics) coupled to either MHO or metabolically unhealthy obese (MUO) individuals were analyzed through principal component analysis (PCA). Subjects were identified from a subsample of 416 obese individuals, selected from the Malmö Diet and Cancer study—Cardiovascular arm (MDCS-CV, n = 3,443). They were further divided into MHO (n = 143) and MUO (n = 273) defined by a history of hospitalization, or not, at baseline inclusion, and nonobese subjects (NOC, n = 3,027). Two distinctive principle components (PL2, PP5) were discovered with a significant difference and thus further investigated through their main loadings. Results. MHO individuals had a more metabolically favorable lipid and glucose profile than MUO subjects, that is, lower levels of traditional blood glucose and triglycerides, as well as a trend of lower metabolically unfavorable lipid biomarkers. PL2 (lipidomics, p=0.02) showed stronger associations of triacylglycerides with MUO, whereas phospholipids correlated with MHO. PP5 (proteomics, p=0.01) included interleukin-1 receptor antagonist (IL-1ra) and leptin with positive relations to MUO and galanin that correlated positively to MHO. The group differences in metabolite profiles were to a large extent explained by factors included in the metabolic syndrome. Conclusion. Compared to MUO individuals, corresponding MHO individuals present with a more favorable lipid metabolic profile, accompanied by a downregulation of potentially harmful proteomic biomarkers. This unique and extensive biomarker profiling presents novel data on potentially differentiating traits between these two obese phenotypes.</description><identifier>ISSN: 2090-0708</identifier><identifier>EISSN: 2090-0716</identifier><identifier>DOI: 10.1155/2021/6616983</identifier><identifier>PMID: 34659828</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Biomarkers ; Blood lipids ; Blood sugar ; Cancer ; Chronic diseases ; Clinical Medicine ; Development and progression ; Endocrinology and Diabetes ; Endokrinologi och diabetes ; Health Sciences ; Hälsovetenskap ; Klinisk medicin ; Leptin ; Lipids ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Membrane lipids ; Metabolites ; Nutrition and Dietetics ; Näringslära ; Obesity ; Oncology, Experimental ; Risk factors ; Type 2 diabetes</subject><ispartof>Journal of obesity, 2021-10, Vol.2021, p.1-9</ispartof><rights>Copyright © 2021 J. Korduner et al.</rights><rights>COPYRIGHT 2021 John Wiley & Sons, Inc.</rights><rights>Copyright © 2021 J. Korduner et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2021 J. Korduner et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c756t-cb09fc07669863c954cd7ec6bb9253bc8e42be5b255fc20850d2e85c142638383</citedby><cites>FETCH-LOGICAL-c756t-cb09fc07669863c954cd7ec6bb9253bc8e42be5b255fc20850d2e85c142638383</cites><orcidid>0000-0003-1710-5936 ; 0000-0003-4132-1516 ; 0000-0002-8074-7221 ; 0000-0002-8312-3545 ; 0000-0002-5652-8459 ; 0000-0002-2581-484X ; 0000-0002-8618-9152 ; 0000-0001-8665-6892</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2582646570/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2582646570?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://lup.lub.lu.se/record/460cdf89-537c-4a0f-b741-e27d491fb44e$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Fisher, Gordon</contributor><contributor>Gordon Fisher</contributor><creatorcontrib>Korduner, J.</creatorcontrib><creatorcontrib>Nilsson, P. M.</creatorcontrib><creatorcontrib>Melander, O.</creatorcontrib><creatorcontrib>Gerl, M. J.</creatorcontrib><creatorcontrib>Engström, G.</creatorcontrib><creatorcontrib>Bachus, E.</creatorcontrib><creatorcontrib>Magnusson, M.</creatorcontrib><creatorcontrib>Ottosson, F.</creatorcontrib><title>Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort</title><title>Journal of obesity</title><description>Background/Aims. Obesity is a well-established risk factor for the development of numerous chronic diseases. However, there is a small proportion of obese individuals that seem to escape these aforementioned conditions—Metabolically Healthy Obesity (MHO). Our aim was to do a metabolic and biomarker profiling of MHO individuals. Method. Associations between different biomarkers (proteomics, lipidomics, and metabolomics) coupled to either MHO or metabolically unhealthy obese (MUO) individuals were analyzed through principal component analysis (PCA). Subjects were identified from a subsample of 416 obese individuals, selected from the Malmö Diet and Cancer study—Cardiovascular arm (MDCS-CV, n = 3,443). They were further divided into MHO (n = 143) and MUO (n = 273) defined by a history of hospitalization, or not, at baseline inclusion, and nonobese subjects (NOC, n = 3,027). Two distinctive principle components (PL2, PP5) were discovered with a significant difference and thus further investigated through their main loadings. Results. MHO individuals had a more metabolically favorable lipid and glucose profile than MUO subjects, that is, lower levels of traditional blood glucose and triglycerides, as well as a trend of lower metabolically unfavorable lipid biomarkers. PL2 (lipidomics, p=0.02) showed stronger associations of triacylglycerides with MUO, whereas phospholipids correlated with MHO. PP5 (proteomics, p=0.01) included interleukin-1 receptor antagonist (IL-1ra) and leptin with positive relations to MUO and galanin that correlated positively to MHO. The group differences in metabolite profiles were to a large extent explained by factors included in the metabolic syndrome. Conclusion. Compared to MUO individuals, corresponding MHO individuals present with a more favorable lipid metabolic profile, accompanied by a downregulation of potentially harmful proteomic biomarkers. This unique and extensive biomarker profiling presents novel data on potentially differentiating traits between these two obese phenotypes.</description><subject>Biomarkers</subject><subject>Blood lipids</subject><subject>Blood sugar</subject><subject>Cancer</subject><subject>Chronic diseases</subject><subject>Clinical Medicine</subject><subject>Development and progression</subject><subject>Endocrinology and Diabetes</subject><subject>Endokrinologi och diabetes</subject><subject>Health Sciences</subject><subject>Hälsovetenskap</subject><subject>Klinisk medicin</subject><subject>Leptin</subject><subject>Lipids</subject><subject>Medical and Health Sciences</subject><subject>Medicin och hälsovetenskap</subject><subject>Membrane lipids</subject><subject>Metabolites</subject><subject>Nutrition and Dietetics</subject><subject>Näringslära</subject><subject>Obesity</subject><subject>Oncology, Experimental</subject><subject>Risk factors</subject><subject>Type 2 diabetes</subject><issn>2090-0708</issn><issn>2090-0716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1trFDEUgAdRbKl98wcMCCLotkkmySQ-CGW9tFCpUH0OuZzppMxO1iTTsv56s91adkWKE0JuX76QzDlV9RKjI4wZOyaI4GPOMZeieVLtEyTRDLWYP33oI7FXHaZ0jcrXCMla8rzaayhnUhCxX918iyFDWHhb69HVXyFrE4a78bzXUdsM0f_S2YexDt2fdW_1MKzqU9BD7lf1hYHk8-p9fVJ_hGSjX2Z_A_Vlntyq7mJY1Lq-vAXnU1_PQx9iflE96_SQ4PC-Pah-fP70fX46O7_4cjY_OZ_ZlvE8swbJzqKWl_vxxkpGrWvBcmMkYY2xAigxwAxhrLMECYYcAcEspoQ3opSD6mzjdUFfq2X0Cx1XKmiv7iZCvFI6Zm8HUNo4ghFBlkpBpeNGa2QQbS0hgmiji-t840q3sJzMjm2YlqWaUlUCRTmyrhNSsaa1imrUKdNSrIC0jkrcGUqh6D5sdMW1AGdhzFEPO9bdldH36ircKMEwleV-B9Wbe0EMPydIWS18sjAMeoQwJUWYaBqMEUYFffUXeh2mOJaXX1OEl3Bot6grXd7Dj10o59q1VJ1wyQWlEjWPU6JhjLUNK9TRP6hSHJTYCiN0vszvaP9vw9YJr7c29HehmMIwrUM17ZofB7eM7zagjSGlCN3Dz8BIrdNNrdNN3adbwd9u8N6PTt_6x-nfR-ojWw</recordid><startdate>20211006</startdate><enddate>20211006</enddate><creator>Korduner, J.</creator><creator>Nilsson, P. 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M. ; Melander, O. ; Gerl, M. J. ; Engström, G. ; Bachus, E. ; Magnusson, M. ; Ottosson, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c756t-cb09fc07669863c954cd7ec6bb9253bc8e42be5b255fc20850d2e85c142638383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biomarkers</topic><topic>Blood lipids</topic><topic>Blood sugar</topic><topic>Cancer</topic><topic>Chronic diseases</topic><topic>Clinical Medicine</topic><topic>Development and progression</topic><topic>Endocrinology and Diabetes</topic><topic>Endokrinologi och diabetes</topic><topic>Health Sciences</topic><topic>Hälsovetenskap</topic><topic>Klinisk medicin</topic><topic>Leptin</topic><topic>Lipids</topic><topic>Medical and Health Sciences</topic><topic>Medicin och hälsovetenskap</topic><topic>Membrane lipids</topic><topic>Metabolites</topic><topic>Nutrition and Dietetics</topic><topic>Näringslära</topic><topic>Obesity</topic><topic>Oncology, Experimental</topic><topic>Risk factors</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Korduner, J.</creatorcontrib><creatorcontrib>Nilsson, P. 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M.</au><au>Melander, O.</au><au>Gerl, M. J.</au><au>Engström, G.</au><au>Bachus, E.</au><au>Magnusson, M.</au><au>Ottosson, F.</au><au>Fisher, Gordon</au><au>Gordon Fisher</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort</atitle><jtitle>Journal of obesity</jtitle><date>2021-10-06</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>2090-0708</issn><eissn>2090-0716</eissn><abstract>Background/Aims. Obesity is a well-established risk factor for the development of numerous chronic diseases. However, there is a small proportion of obese individuals that seem to escape these aforementioned conditions—Metabolically Healthy Obesity (MHO). Our aim was to do a metabolic and biomarker profiling of MHO individuals. Method. Associations between different biomarkers (proteomics, lipidomics, and metabolomics) coupled to either MHO or metabolically unhealthy obese (MUO) individuals were analyzed through principal component analysis (PCA). Subjects were identified from a subsample of 416 obese individuals, selected from the Malmö Diet and Cancer study—Cardiovascular arm (MDCS-CV, n = 3,443). They were further divided into MHO (n = 143) and MUO (n = 273) defined by a history of hospitalization, or not, at baseline inclusion, and nonobese subjects (NOC, n = 3,027). Two distinctive principle components (PL2, PP5) were discovered with a significant difference and thus further investigated through their main loadings. Results. MHO individuals had a more metabolically favorable lipid and glucose profile than MUO subjects, that is, lower levels of traditional blood glucose and triglycerides, as well as a trend of lower metabolically unfavorable lipid biomarkers. PL2 (lipidomics, p=0.02) showed stronger associations of triacylglycerides with MUO, whereas phospholipids correlated with MHO. PP5 (proteomics, p=0.01) included interleukin-1 receptor antagonist (IL-1ra) and leptin with positive relations to MUO and galanin that correlated positively to MHO. The group differences in metabolite profiles were to a large extent explained by factors included in the metabolic syndrome. Conclusion. Compared to MUO individuals, corresponding MHO individuals present with a more favorable lipid metabolic profile, accompanied by a downregulation of potentially harmful proteomic biomarkers. This unique and extensive biomarker profiling presents novel data on potentially differentiating traits between these two obese phenotypes.</abstract><cop>New York</cop><pub>Hindawi</pub><pmid>34659828</pmid><doi>10.1155/2021/6616983</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1710-5936</orcidid><orcidid>https://orcid.org/0000-0003-4132-1516</orcidid><orcidid>https://orcid.org/0000-0002-8074-7221</orcidid><orcidid>https://orcid.org/0000-0002-8312-3545</orcidid><orcidid>https://orcid.org/0000-0002-5652-8459</orcidid><orcidid>https://orcid.org/0000-0002-2581-484X</orcidid><orcidid>https://orcid.org/0000-0002-8618-9152</orcidid><orcidid>https://orcid.org/0000-0001-8665-6892</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomarkers Blood lipids Blood sugar Cancer Chronic diseases Clinical Medicine Development and progression Endocrinology and Diabetes Endokrinologi och diabetes Health Sciences Hälsovetenskap Klinisk medicin Leptin Lipids Medical and Health Sciences Medicin och hälsovetenskap Membrane lipids Metabolites Nutrition and Dietetics Näringslära Obesity Oncology, Experimental Risk factors Type 2 diabetes |
title | Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort |
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