Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health
ABSTRACT Metabolism maintains homeostasis at chronic hypercaloric conditions, activating postprandial response mechanisms, which come at the cost of adaptation processes such as energy storage, eventually with negative health consequences. This study quantified the metabolic adaptation capacity by s...
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Veröffentlicht in: | The FASEB journal 2015-11, Vol.29 (11), p.4600-4613 |
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creator | Kardinaal, Alwine F. M. Erk, Marjan J. Dutman, Alice E. Stroeve, Johanna H. M. Steeg, Evita Bijlsma, Sabina Kooistra, Teake Ommen, Ben Wopereis, Suzan |
description | ABSTRACT
Metabolism maintains homeostasis at chronic hypercaloric conditions, activating postprandial response mechanisms, which come at the cost of adaptation processes such as energy storage, eventually with negative health consequences. This study quantified the metabolic adaptation capacity by studying challenge response curves. After a high‐fat challenge, the 8 h response curves of 61 biomarkers related to adipose tissue mass and function, systemic stress, metabolic flexibility, vascular health, and glucose metabolism was compared between 3 metabolic health stages: 10 healthy men, before and after 4 wk of high‐fat, high‐calorie diet (1300 kca1/d extra), and 9 men with metabolic syndrome (MetS). The MetS subjects had increased fasting concentrations of biomarkers representing the 3 core processes, glucose, TG, and inflammation control, and the challenge response curves of most biomarkers were altered. After the 4 wk hypercaloric dietary intervention, these 3 processes were not changed, as compared with the preintervention state in the healthy subjects, whereas the challenge response curves of almost all endocrine, metabolic, and inflammatory processes regulating these core processes were altered, demonstrating major molecular physiologic efforts to maintain homeostasis. This study thus demonstrates that change in challenge response is a more sensitive biomarker of metabolic resilience than are changes in fasting concentrations.—Kardinaal, A. F. M., van Erk, M. J., Dutman, A. E., Stroeve, J. H. M., van de Steeg, E., Bijlsma, S., Kooistra, T., van Ommen, B., Wopereis, S. Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health. FASEB J. 29, 4600‐4613 (2015). www.fasebj.org |
doi_str_mv | 10.1096/fj.14-269852 |
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Metabolism maintains homeostasis at chronic hypercaloric conditions, activating postprandial response mechanisms, which come at the cost of adaptation processes such as energy storage, eventually with negative health consequences. This study quantified the metabolic adaptation capacity by studying challenge response curves. After a high‐fat challenge, the 8 h response curves of 61 biomarkers related to adipose tissue mass and function, systemic stress, metabolic flexibility, vascular health, and glucose metabolism was compared between 3 metabolic health stages: 10 healthy men, before and after 4 wk of high‐fat, high‐calorie diet (1300 kca1/d extra), and 9 men with metabolic syndrome (MetS). The MetS subjects had increased fasting concentrations of biomarkers representing the 3 core processes, glucose, TG, and inflammation control, and the challenge response curves of most biomarkers were altered. After the 4 wk hypercaloric dietary intervention, these 3 processes were not changed, as compared with the preintervention state in the healthy subjects, whereas the challenge response curves of almost all endocrine, metabolic, and inflammatory processes regulating these core processes were altered, demonstrating major molecular physiologic efforts to maintain homeostasis. This study thus demonstrates that change in challenge response is a more sensitive biomarker of metabolic resilience than are changes in fasting concentrations.—Kardinaal, A. F. M., van Erk, M. J., Dutman, A. E., Stroeve, J. H. M., van de Steeg, E., Bijlsma, S., Kooistra, T., van Ommen, B., Wopereis, S. Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health. FASEB J. 29, 4600‐4613 (2015). www.fasebj.org</description><identifier>ISSN: 0892-6638</identifier><identifier>EISSN: 1530-6860</identifier><identifier>DOI: 10.1096/fj.14-269852</identifier><identifier>PMID: 26198450</identifier><language>eng</language><publisher>Bethesda, MD, USA: Federation of American Societies for Experimental Biology</publisher><subject>Adipose Tissue - metabolism ; Adult ; Aged ; Biomarkers - blood ; Blood Glucose - metabolism ; clinical study ; Dietary Fats - administration & dosage ; eicosanoids ; Homeostasis - drug effects ; human physiology ; Humans ; Male ; Middle Aged ; nutrition ; Pilot Projects ; systems biology ; Time Factors ; Triglycerides - blood</subject><ispartof>The FASEB journal, 2015-11, Vol.29 (11), p.4600-4613</ispartof><rights>FASEB</rights><rights>FASEB.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3729-53c6882877d4daad1ffec2d8cfe7afd53c9eb0c68f9f2628f713f51bc71e86433</citedby><cites>FETCH-LOGICAL-c3729-53c6882877d4daad1ffec2d8cfe7afd53c9eb0c68f9f2628f713f51bc71e86433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1096%2Ffj.14-269852$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1096%2Ffj.14-269852$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26198450$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kardinaal, Alwine F. M.</creatorcontrib><creatorcontrib>Erk, Marjan J.</creatorcontrib><creatorcontrib>Dutman, Alice E.</creatorcontrib><creatorcontrib>Stroeve, Johanna H. M.</creatorcontrib><creatorcontrib>Steeg, Evita</creatorcontrib><creatorcontrib>Bijlsma, Sabina</creatorcontrib><creatorcontrib>Kooistra, Teake</creatorcontrib><creatorcontrib>Ommen, Ben</creatorcontrib><creatorcontrib>Wopereis, Suzan</creatorcontrib><title>Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health</title><title>The FASEB journal</title><addtitle>FASEB J</addtitle><description>ABSTRACT
Metabolism maintains homeostasis at chronic hypercaloric conditions, activating postprandial response mechanisms, which come at the cost of adaptation processes such as energy storage, eventually with negative health consequences. This study quantified the metabolic adaptation capacity by studying challenge response curves. After a high‐fat challenge, the 8 h response curves of 61 biomarkers related to adipose tissue mass and function, systemic stress, metabolic flexibility, vascular health, and glucose metabolism was compared between 3 metabolic health stages: 10 healthy men, before and after 4 wk of high‐fat, high‐calorie diet (1300 kca1/d extra), and 9 men with metabolic syndrome (MetS). The MetS subjects had increased fasting concentrations of biomarkers representing the 3 core processes, glucose, TG, and inflammation control, and the challenge response curves of most biomarkers were altered. After the 4 wk hypercaloric dietary intervention, these 3 processes were not changed, as compared with the preintervention state in the healthy subjects, whereas the challenge response curves of almost all endocrine, metabolic, and inflammatory processes regulating these core processes were altered, demonstrating major molecular physiologic efforts to maintain homeostasis. This study thus demonstrates that change in challenge response is a more sensitive biomarker of metabolic resilience than are changes in fasting concentrations.—Kardinaal, A. F. M., van Erk, M. J., Dutman, A. E., Stroeve, J. H. M., van de Steeg, E., Bijlsma, S., Kooistra, T., van Ommen, B., Wopereis, S. Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health. FASEB J. 29, 4600‐4613 (2015). www.fasebj.org</description><subject>Adipose Tissue - metabolism</subject><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - metabolism</subject><subject>clinical study</subject><subject>Dietary Fats - administration & dosage</subject><subject>eicosanoids</subject><subject>Homeostasis - drug effects</subject><subject>human physiology</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>nutrition</subject><subject>Pilot Projects</subject><subject>systems biology</subject><subject>Time Factors</subject><subject>Triglycerides - blood</subject><issn>0892-6638</issn><issn>1530-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkctO3DAUhq0KBANl13XlJYsGfEl8WVJUaCUkhGjXluMcTzzyJCH2iGbXR-gz8iR1NbTLdnOOdP5Pn470I_SOkgtKtLj0mwtaV0xo1bA3aEUbTiqhBDlAK6I0q4Tg6hidpLQhhFBCxRE6ZoJqVTdkhZaHnR1y8EsY1njqYRjzMgWHfYTvoQ0x5AXbhHMPeIY0jUMCnEdscR_W_cuPn95m7HobIwzrkkDKOAy4C97DDEPGKdtyxKPHW8i2HWNx92Bj7t-iQ29jgrPXfYq-3Xz6ev25uru__XJ9dVc5LpmuGu6EUkxJ2dWdtR0tZsc65TxI67sSa2hJYbz2TDDlJeW-oa2TFJSoOT9F53vvNI9Pu_Kg2YbkIEY7wLhLhiqiJCuz_j8qOSGsqYUs6Ic96uYxpRm8meawtfNiKDG_ezF-Y2ht9r0U_P2redduofsL_ymiAHIPPIcIyz9l5ubxIyNME1ra1PwXA4Gb1w</recordid><startdate>201511</startdate><enddate>201511</enddate><creator>Kardinaal, Alwine F. M.</creator><creator>Erk, Marjan J.</creator><creator>Dutman, Alice E.</creator><creator>Stroeve, Johanna H. M.</creator><creator>Steeg, Evita</creator><creator>Bijlsma, Sabina</creator><creator>Kooistra, Teake</creator><creator>Ommen, Ben</creator><creator>Wopereis, Suzan</creator><general>Federation of American Societies for Experimental Biology</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><scope>7T5</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope></search><sort><creationdate>201511</creationdate><title>Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health</title><author>Kardinaal, Alwine F. M. ; Erk, Marjan J. ; Dutman, Alice E. ; Stroeve, Johanna H. M. ; Steeg, Evita ; Bijlsma, Sabina ; Kooistra, Teake ; Ommen, Ben ; Wopereis, Suzan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3729-53c6882877d4daad1ffec2d8cfe7afd53c9eb0c68f9f2628f713f51bc71e86433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adipose Tissue - metabolism</topic><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - metabolism</topic><topic>clinical study</topic><topic>Dietary Fats - administration & dosage</topic><topic>eicosanoids</topic><topic>Homeostasis - drug effects</topic><topic>human physiology</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>nutrition</topic><topic>Pilot Projects</topic><topic>systems biology</topic><topic>Time Factors</topic><topic>Triglycerides - blood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kardinaal, Alwine F. M.</creatorcontrib><creatorcontrib>Erk, Marjan J.</creatorcontrib><creatorcontrib>Dutman, Alice E.</creatorcontrib><creatorcontrib>Stroeve, Johanna H. M.</creatorcontrib><creatorcontrib>Steeg, Evita</creatorcontrib><creatorcontrib>Bijlsma, Sabina</creatorcontrib><creatorcontrib>Kooistra, Teake</creatorcontrib><creatorcontrib>Ommen, Ben</creatorcontrib><creatorcontrib>Wopereis, Suzan</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><collection>Immunology Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>The FASEB journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kardinaal, Alwine F. M.</au><au>Erk, Marjan J.</au><au>Dutman, Alice E.</au><au>Stroeve, Johanna H. M.</au><au>Steeg, Evita</au><au>Bijlsma, Sabina</au><au>Kooistra, Teake</au><au>Ommen, Ben</au><au>Wopereis, Suzan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health</atitle><jtitle>The FASEB journal</jtitle><addtitle>FASEB J</addtitle><date>2015-11</date><risdate>2015</risdate><volume>29</volume><issue>11</issue><spage>4600</spage><epage>4613</epage><pages>4600-4613</pages><issn>0892-6638</issn><eissn>1530-6860</eissn><abstract>ABSTRACT
Metabolism maintains homeostasis at chronic hypercaloric conditions, activating postprandial response mechanisms, which come at the cost of adaptation processes such as energy storage, eventually with negative health consequences. This study quantified the metabolic adaptation capacity by studying challenge response curves. After a high‐fat challenge, the 8 h response curves of 61 biomarkers related to adipose tissue mass and function, systemic stress, metabolic flexibility, vascular health, and glucose metabolism was compared between 3 metabolic health stages: 10 healthy men, before and after 4 wk of high‐fat, high‐calorie diet (1300 kca1/d extra), and 9 men with metabolic syndrome (MetS). The MetS subjects had increased fasting concentrations of biomarkers representing the 3 core processes, glucose, TG, and inflammation control, and the challenge response curves of most biomarkers were altered. After the 4 wk hypercaloric dietary intervention, these 3 processes were not changed, as compared with the preintervention state in the healthy subjects, whereas the challenge response curves of almost all endocrine, metabolic, and inflammatory processes regulating these core processes were altered, demonstrating major molecular physiologic efforts to maintain homeostasis. This study thus demonstrates that change in challenge response is a more sensitive biomarker of metabolic resilience than are changes in fasting concentrations.—Kardinaal, A. F. M., van Erk, M. J., Dutman, A. E., Stroeve, J. H. M., van de Steeg, E., Bijlsma, S., Kooistra, T., van Ommen, B., Wopereis, S. Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health. FASEB J. 29, 4600‐4613 (2015). www.fasebj.org</abstract><cop>Bethesda, MD, USA</cop><pub>Federation of American Societies for Experimental Biology</pub><pmid>26198450</pmid><doi>10.1096/fj.14-269852</doi><tpages>14</tpages></addata></record> |
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subjects | Adipose Tissue - metabolism Adult Aged Biomarkers - blood Blood Glucose - metabolism clinical study Dietary Fats - administration & dosage eicosanoids Homeostasis - drug effects human physiology Humans Male Middle Aged nutrition Pilot Projects systems biology Time Factors Triglycerides - blood |
title | Quantifying phenotypic flexibility as the response to a high‐fat challenge test in different states of metabolic health |
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