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Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial

Santiago Navas-Carretero, Rodrigo San-Cristobal, Pia Siig Vestentoft, Jennie C. Brand-Miller, Elli Jalo, Margriet Westerterp-Plantenga, Elizabeth J. Simpson, Teodora Handjieva-Darlenska, Gareth Stratton Orcid Logo, Maija Huttunen-Lenz, Tony Lam, Roslyn Muirhead, Sally Poppitt, Kirsi H. Pietiläinen, Tanja Adam, Moira A. Taylor, Svetoslav Handjiev, Melitta McNarry Orcid Logo, Sylvia Hansen, Shannon Brodie, Marta P. Silvestre, Ian A. Macdonald, Nadka Boyadjieva, Kelly Mackintosh Orcid Logo, Wolfgang Schlicht, Amy Liu, Thomas M. Larsen, Mikael Fogelholm, Anne Raben, J. Alfredo Martinez

Frontiers in Nutrition, Volume: 8

Swansea University Authors: Gareth Stratton Orcid Logo, Melitta McNarry Orcid Logo, Kelly Mackintosh Orcid Logo

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DOI (Published version): 10.3389/fnut.2021.733697

Abstract

Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (...

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Published in: Frontiers in Nutrition
ISSN: 2296-861X
Published: Frontiers Media SA 2021
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-11-23T12:24:05.8726337</datestamp><bib-version>v2</bib-version><id>58533</id><entry>2021-11-02</entry><title>Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial</title><swanseaauthors><author><sid>6d62b2ed126961bed81a94a2beba8a01</sid><ORCID>0000-0001-5618-0803</ORCID><firstname>Gareth</firstname><surname>Stratton</surname><name>Gareth Stratton</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>062f5697ff59f004bc8c713955988398</sid><ORCID>0000-0003-0813-7477</ORCID><firstname>Melitta</firstname><surname>McNarry</surname><name>Melitta McNarry</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>bdb20e3f31bcccf95c7bc116070c4214</sid><ORCID>0000-0003-0355-6357</ORCID><firstname>Kelly</firstname><surname>Mackintosh</surname><name>Kelly Mackintosh</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-11-02</date><deptcode>STSC</deptcode><abstract>Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) &#xD7; fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs.Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers (n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve &#x2265;8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures.Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index (p &lt; 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity.Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D.Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893.</abstract><type>Journal Article</type><journal>Frontiers in Nutrition</journal><volume>8</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Frontiers Media SA</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2296-861X</issnElectronic><keywords>obesity, pre-diabetes, triglycerides (PubChem CID: 5460048), hypertriglyceridemic-waist phenotype,precision nutrition, diabetes, carbohydrate metabolism, lipid markers</keywords><publishedDay>1</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-11-01</publishedDate><doi>10.3389/fnut.2021.733697</doi><url/><notes/><college>COLLEGE NANME</college><department>Sport and Exercise Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>STSC</DepartmentCode><institution>Swansea University</institution><apcterm>Other</apcterm><funders>EU framework program 7 (FP7/2007-2013) grant agreement # 312057, National Health and Medical Research Council - EU Collaborative Grant, AUS 8, ID 1067711), the Glycemic Index Foundation Australia through royalties to the University of Sydney, the New Zealand Health Research Council (14/191) and University of Auckland Faculty Research Development Fund; Cambridge Weight Plan&#xA9;; Danish Agriculture &amp; Food Council, the Danish Meat and Research Institute, National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK), Biotechnology and Biological Sciences Research Council (BBSRC) (UK), Engineering and Physical Sciences Research Council (EPSRC) (UK); Juho VainioFoundation (FIN), Academy of Finland (Grant Numbers: 272376, 314383, 266286, 314135), Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation, Finnish Diabetes Research Foundation, University of Helsinki, Government Research Funds for Helsinki University Hospital (FIN), Jenny and Antti Wihuri Foundation (FIN), Emil Aaltonen Foundation (FIN)</funders><lastEdited>2021-11-23T12:24:05.8726337</lastEdited><Created>2021-11-02T16:01:39.0280660</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences</level></path><authors><author><firstname>Santiago</firstname><surname>Navas-Carretero</surname><order>1</order></author><author><firstname>Rodrigo</firstname><surname>San-Cristobal</surname><order>2</order></author><author><firstname>Pia Siig</firstname><surname>Vestentoft</surname><order>3</order></author><author><firstname>Jennie C.</firstname><surname>Brand-Miller</surname><order>4</order></author><author><firstname>Elli</firstname><surname>Jalo</surname><order>5</order></author><author><firstname>Margriet</firstname><surname>Westerterp-Plantenga</surname><order>6</order></author><author><firstname>Elizabeth J.</firstname><surname>Simpson</surname><order>7</order></author><author><firstname>Teodora</firstname><surname>Handjieva-Darlenska</surname><order>8</order></author><author><firstname>Gareth</firstname><surname>Stratton</surname><orcid>0000-0001-5618-0803</orcid><order>9</order></author><author><firstname>Maija</firstname><surname>Huttunen-Lenz</surname><order>10</order></author><author><firstname>Tony</firstname><surname>Lam</surname><order>11</order></author><author><firstname>Roslyn</firstname><surname>Muirhead</surname><order>12</order></author><author><firstname>Sally</firstname><surname>Poppitt</surname><order>13</order></author><author><firstname>Kirsi H.</firstname><surname>Pietil&#xE4;inen</surname><order>14</order></author><author><firstname>Tanja</firstname><surname>Adam</surname><order>15</order></author><author><firstname>Moira A.</firstname><surname>Taylor</surname><order>16</order></author><author><firstname>Svetoslav</firstname><surname>Handjiev</surname><order>17</order></author><author><firstname>Melitta</firstname><surname>McNarry</surname><orcid>0000-0003-0813-7477</orcid><order>18</order></author><author><firstname>Sylvia</firstname><surname>Hansen</surname><order>19</order></author><author><firstname>Shannon</firstname><surname>Brodie</surname><order>20</order></author><author><firstname>Marta P.</firstname><surname>Silvestre</surname><order>21</order></author><author><firstname>Ian A.</firstname><surname>Macdonald</surname><order>22</order></author><author><firstname>Nadka</firstname><surname>Boyadjieva</surname><order>23</order></author><author><firstname>Kelly</firstname><surname>Mackintosh</surname><orcid>0000-0003-0355-6357</orcid><order>24</order></author><author><firstname>Wolfgang</firstname><surname>Schlicht</surname><order>25</order></author><author><firstname>Amy</firstname><surname>Liu</surname><order>26</order></author><author><firstname>Thomas M.</firstname><surname>Larsen</surname><order>27</order></author><author><firstname>Mikael</firstname><surname>Fogelholm</surname><order>28</order></author><author><firstname>Anne</firstname><surname>Raben</surname><order>29</order></author><author><firstname>J. Alfredo</firstname><surname>Martinez</surname><order>30</order></author></authors><documents><document><filename>58533__21640__c6c0ddc321444768ad9e6acb95aec0cc.pdf</filename><originalFilename>58533.pdf</originalFilename><uploaded>2021-11-23T12:17:53.8749335</uploaded><type>Output</type><contentLength>3616893</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2021 Navas-Carretero, San-Cristobal, Siig Vestentoft, Brand-Miller, Jalo, Westerterp-Plantenga, Simpson, Handjieva-Darlenska, Stratton, HuttunenLenz, Lam, Muirhead, Poppitt, Pietil&#xE4;inen, Adam, Taylor, Handjiev, McNarry, Hansen, Brodie, Silvestre, Macdonald, Boyadjieva, Mackintosh, Schlicht, Liu, Larsen, Fogelholm, Raben and Martinez. 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spelling 2021-11-23T12:24:05.8726337 v2 58533 2021-11-02 Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false bdb20e3f31bcccf95c7bc116070c4214 0000-0003-0355-6357 Kelly Mackintosh Kelly Mackintosh true false 2021-11-02 STSC Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs.Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers (n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve ≥8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures.Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index (p < 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity.Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D.Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893. Journal Article Frontiers in Nutrition 8 Frontiers Media SA 2296-861X obesity, pre-diabetes, triglycerides (PubChem CID: 5460048), hypertriglyceridemic-waist phenotype,precision nutrition, diabetes, carbohydrate metabolism, lipid markers 1 11 2021 2021-11-01 10.3389/fnut.2021.733697 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University Other EU framework program 7 (FP7/2007-2013) grant agreement # 312057, National Health and Medical Research Council - EU Collaborative Grant, AUS 8, ID 1067711), the Glycemic Index Foundation Australia through royalties to the University of Sydney, the New Zealand Health Research Council (14/191) and University of Auckland Faculty Research Development Fund; Cambridge Weight Plan©; Danish Agriculture & Food Council, the Danish Meat and Research Institute, National Institute for Health Research Biomedical Research Centre (NIHR BRC) (UK), Biotechnology and Biological Sciences Research Council (BBSRC) (UK), Engineering and Physical Sciences Research Council (EPSRC) (UK); Juho VainioFoundation (FIN), Academy of Finland (Grant Numbers: 272376, 314383, 266286, 314135), Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation, Finnish Diabetes Research Foundation, University of Helsinki, Government Research Funds for Helsinki University Hospital (FIN), Jenny and Antti Wihuri Foundation (FIN), Emil Aaltonen Foundation (FIN) 2021-11-23T12:24:05.8726337 2021-11-02T16:01:39.0280660 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Santiago Navas-Carretero 1 Rodrigo San-Cristobal 2 Pia Siig Vestentoft 3 Jennie C. Brand-Miller 4 Elli Jalo 5 Margriet Westerterp-Plantenga 6 Elizabeth J. Simpson 7 Teodora Handjieva-Darlenska 8 Gareth Stratton 0000-0001-5618-0803 9 Maija Huttunen-Lenz 10 Tony Lam 11 Roslyn Muirhead 12 Sally Poppitt 13 Kirsi H. Pietiläinen 14 Tanja Adam 15 Moira A. Taylor 16 Svetoslav Handjiev 17 Melitta McNarry 0000-0003-0813-7477 18 Sylvia Hansen 19 Shannon Brodie 20 Marta P. Silvestre 21 Ian A. Macdonald 22 Nadka Boyadjieva 23 Kelly Mackintosh 0000-0003-0355-6357 24 Wolfgang Schlicht 25 Amy Liu 26 Thomas M. Larsen 27 Mikael Fogelholm 28 Anne Raben 29 J. Alfredo Martinez 30 58533__21640__c6c0ddc321444768ad9e6acb95aec0cc.pdf 58533.pdf 2021-11-23T12:17:53.8749335 Output 3616893 application/pdf Version of Record true © 2021 Navas-Carretero, San-Cristobal, Siig Vestentoft, Brand-Miller, Jalo, Westerterp-Plantenga, Simpson, Handjieva-Darlenska, Stratton, HuttunenLenz, Lam, Muirhead, Poppitt, Pietiläinen, Adam, Taylor, Handjiev, McNarry, Hansen, Brodie, Silvestre, Macdonald, Boyadjieva, Mackintosh, Schlicht, Liu, Larsen, Fogelholm, Raben and Martinez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/
title Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
spellingShingle Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
Gareth Stratton
Melitta McNarry
Kelly Mackintosh
title_short Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
title_full Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
title_fullStr Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
title_full_unstemmed Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
title_sort Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial
author_id_str_mv 6d62b2ed126961bed81a94a2beba8a01
062f5697ff59f004bc8c713955988398
bdb20e3f31bcccf95c7bc116070c4214
author_id_fullname_str_mv 6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton
062f5697ff59f004bc8c713955988398_***_Melitta McNarry
bdb20e3f31bcccf95c7bc116070c4214_***_Kelly Mackintosh
author Gareth Stratton
Melitta McNarry
Kelly Mackintosh
author2 Santiago Navas-Carretero
Rodrigo San-Cristobal
Pia Siig Vestentoft
Jennie C. Brand-Miller
Elli Jalo
Margriet Westerterp-Plantenga
Elizabeth J. Simpson
Teodora Handjieva-Darlenska
Gareth Stratton
Maija Huttunen-Lenz
Tony Lam
Roslyn Muirhead
Sally Poppitt
Kirsi H. Pietiläinen
Tanja Adam
Moira A. Taylor
Svetoslav Handjiev
Melitta McNarry
Sylvia Hansen
Shannon Brodie
Marta P. Silvestre
Ian A. Macdonald
Nadka Boyadjieva
Kelly Mackintosh
Wolfgang Schlicht
Amy Liu
Thomas M. Larsen
Mikael Fogelholm
Anne Raben
J. Alfredo Martinez
format Journal article
container_title Frontiers in Nutrition
container_volume 8
publishDate 2021
institution Swansea University
issn 2296-861X
doi_str_mv 10.3389/fnut.2021.733697
publisher Frontiers Media SA
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
document_store_str 1
active_str 0
description Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs.Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers (n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve ≥8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures.Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index (p < 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity.Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D.Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893.
published_date 2021-11-01T04:15:08Z
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