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Impact of weight loss-associated changes in detailed body composition as assessed by whole-body MRI on plasma insulin levels and homeostatis model assessment index
Background/Objectives: We assessed the effect of weight loss-associated changes in detailed body composition on plasma insulin levels and homeostatic model assessment (HOMA) index to calculate the magnitude of reduction in different adipose tissue depots required to improve insulin sensitivity. Subj...
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Published in: | European journal of clinical nutrition 2017-02, Vol.71 (2), p.212-218 |
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container_title | European journal of clinical nutrition |
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creator | Pourhassan, M Glüer, C-C Pick, P Tigges, W Müller, M J |
description | Background/Objectives:
We assessed the effect of weight loss-associated changes in detailed body composition on plasma insulin levels and homeostatic model assessment (HOMA) index to calculate the magnitude of reduction in different adipose tissue depots required to improve insulin sensitivity.
SubjectS/Methods:
A total of 50 subjects aged 20–69 years were studied. The participants were compiled from low-calorie diet interventions and bariatric surgery and differed in their baseline body mass index (BMI; range 21.6–54.4 kg/m
2
) and degree of weight losses (range −3.3 to −56.9 kg). Detailed body composition and liver fat were measured using whole-body magnetic resonance imaging (MRI). Insulin resistance was assessed by HOMA.
Results:
Mean body weight decreased by −16.0±13.6 kg. Significant changes were observed in total adipose tissue (TAT
MRI
, range −0.5 to −36.0 kg), total subcutaneous adipose tissue (SAT
MRI
), visceral adipose tissue (VAT
MRI
), skeletal muscle, liver fat, plasma insulin levels and HOMA. Decreases in insulin and HOMA were correlated with reductions in TAT
MRI
, SAT
MRI
, VAT
MRI
(just with HOMA) and liver fat. Losses of 2.9 and 6.5 kg body weight, 2.0 and 5.0 kg TAT
MRI
as well as 1.6 and 6% liver fat were required to decrease plasma insulin levels by 1 μU/ml and HOMA
adjusted for baseline HOMA
by 1 point. Multiple regression analysis showed that baseline liver fat and changes in liver fat explained 49.7% and 55.1% of the variance in weight loss-associated changes in plasma insulin and HOMA, respectively.
Conclusions:
Decreases of adipose tissues and liver fat are the major determinants of reduction in plasma insulin levels and improvement in HOMA index. |
doi_str_mv | 10.1038/ejcn.2016.189 |
format | article |
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We assessed the effect of weight loss-associated changes in detailed body composition on plasma insulin levels and homeostatic model assessment (HOMA) index to calculate the magnitude of reduction in different adipose tissue depots required to improve insulin sensitivity.
SubjectS/Methods:
A total of 50 subjects aged 20–69 years were studied. The participants were compiled from low-calorie diet interventions and bariatric surgery and differed in their baseline body mass index (BMI; range 21.6–54.4 kg/m
2
) and degree of weight losses (range −3.3 to −56.9 kg). Detailed body composition and liver fat were measured using whole-body magnetic resonance imaging (MRI). Insulin resistance was assessed by HOMA.
Results:
Mean body weight decreased by −16.0±13.6 kg. Significant changes were observed in total adipose tissue (TAT
MRI
, range −0.5 to −36.0 kg), total subcutaneous adipose tissue (SAT
MRI
), visceral adipose tissue (VAT
MRI
), skeletal muscle, liver fat, plasma insulin levels and HOMA. Decreases in insulin and HOMA were correlated with reductions in TAT
MRI
, SAT
MRI
, VAT
MRI
(just with HOMA) and liver fat. Losses of 2.9 and 6.5 kg body weight, 2.0 and 5.0 kg TAT
MRI
as well as 1.6 and 6% liver fat were required to decrease plasma insulin levels by 1 μU/ml and HOMA
adjusted for baseline HOMA
by 1 point. Multiple regression analysis showed that baseline liver fat and changes in liver fat explained 49.7% and 55.1% of the variance in weight loss-associated changes in plasma insulin and HOMA, respectively.
Conclusions:
Decreases of adipose tissues and liver fat are the major determinants of reduction in plasma insulin levels and improvement in HOMA index.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/ejcn.2016.189</identifier><identifier>PMID: 27759067</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>59/57 ; 692/499 ; 692/699/1702 ; Adipose tissue ; Adipose Tissue - diagnostic imaging ; Adipose Tissue - physiopathology ; Adiposity - physiology ; Adult ; Aged ; Bariatric Surgery ; Body composition ; Body Composition - physiology ; Body fat ; Body mass index ; Body size ; Body weight ; Body weight loss ; Caloric Restriction ; Clinical Nutrition ; Epidemiology ; Female ; Gastrointestinal surgery ; Health aspects ; Homeostasis ; Homeostasis - physiology ; Humans ; Hypocaloric diet ; Insulin ; Insulin - blood ; Insulin Resistance ; Internal Medicine ; Liver ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Methods ; Middle Aged ; Multiple regression analysis ; Muscles ; NMR ; Nuclear magnetic resonance ; Nutrient deficiency ; Obesity - blood ; Obesity - diagnostic imaging ; Obesity - therapy ; original-article ; Plasma ; Postoperative Period ; Public Health ; Skeletal muscle ; Weight control ; Weight loss ; Weight Loss - physiology ; Whole Body Imaging - methods ; Young Adult</subject><ispartof>European journal of clinical nutrition, 2017-02, Vol.71 (2), p.212-218</ispartof><rights>Macmillan Publishers Limited, part of Springer Nature. 2017</rights><rights>COPYRIGHT 2017 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Feb 2017</rights><rights>Macmillan Publishers Limited, part of Springer Nature. 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c732t-a2820ff6e5f2dd12cba20ba63ee0205a0545242b8247531cf630d242a5f22ba23</citedby><cites>FETCH-LOGICAL-c732t-a2820ff6e5f2dd12cba20ba63ee0205a0545242b8247531cf630d242a5f22ba23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27759067$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pourhassan, M</creatorcontrib><creatorcontrib>Glüer, C-C</creatorcontrib><creatorcontrib>Pick, P</creatorcontrib><creatorcontrib>Tigges, W</creatorcontrib><creatorcontrib>Müller, M J</creatorcontrib><title>Impact of weight loss-associated changes in detailed body composition as assessed by whole-body MRI on plasma insulin levels and homeostatis model assessment index</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/Objectives:
We assessed the effect of weight loss-associated changes in detailed body composition on plasma insulin levels and homeostatic model assessment (HOMA) index to calculate the magnitude of reduction in different adipose tissue depots required to improve insulin sensitivity.
SubjectS/Methods:
A total of 50 subjects aged 20–69 years were studied. The participants were compiled from low-calorie diet interventions and bariatric surgery and differed in their baseline body mass index (BMI; range 21.6–54.4 kg/m
2
) and degree of weight losses (range −3.3 to −56.9 kg). Detailed body composition and liver fat were measured using whole-body magnetic resonance imaging (MRI). Insulin resistance was assessed by HOMA.
Results:
Mean body weight decreased by −16.0±13.6 kg. Significant changes were observed in total adipose tissue (TAT
MRI
, range −0.5 to −36.0 kg), total subcutaneous adipose tissue (SAT
MRI
), visceral adipose tissue (VAT
MRI
), skeletal muscle, liver fat, plasma insulin levels and HOMA. Decreases in insulin and HOMA were correlated with reductions in TAT
MRI
, SAT
MRI
, VAT
MRI
(just with HOMA) and liver fat. Losses of 2.9 and 6.5 kg body weight, 2.0 and 5.0 kg TAT
MRI
as well as 1.6 and 6% liver fat were required to decrease plasma insulin levels by 1 μU/ml and HOMA
adjusted for baseline HOMA
by 1 point. Multiple regression analysis showed that baseline liver fat and changes in liver fat explained 49.7% and 55.1% of the variance in weight loss-associated changes in plasma insulin and HOMA, respectively.
Conclusions:
Decreases of adipose tissues and liver fat are the major determinants of reduction in plasma insulin levels and improvement in HOMA index.</description><subject>59/57</subject><subject>692/499</subject><subject>692/699/1702</subject><subject>Adipose tissue</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Adipose Tissue - physiopathology</subject><subject>Adiposity - physiology</subject><subject>Adult</subject><subject>Aged</subject><subject>Bariatric Surgery</subject><subject>Body composition</subject><subject>Body Composition - physiology</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Body weight loss</subject><subject>Caloric Restriction</subject><subject>Clinical Nutrition</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Gastrointestinal surgery</subject><subject>Health aspects</subject><subject>Homeostasis</subject><subject>Homeostasis - physiology</subject><subject>Humans</subject><subject>Hypocaloric diet</subject><subject>Insulin</subject><subject>Insulin - blood</subject><subject>Insulin Resistance</subject><subject>Internal Medicine</subject><subject>Liver</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Multiple regression analysis</subject><subject>Muscles</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Nutrient deficiency</subject><subject>Obesity - blood</subject><subject>Obesity - diagnostic imaging</subject><subject>Obesity - therapy</subject><subject>original-article</subject><subject>Plasma</subject><subject>Postoperative Period</subject><subject>Public Health</subject><subject>Skeletal muscle</subject><subject>Weight control</subject><subject>Weight loss</subject><subject>Weight Loss - physiology</subject><subject>Whole Body Imaging - methods</subject><subject>Young Adult</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNk12LEzEUhgdR3Lp66a0EBPFmaj4mmZnLZfGjsCKIXg9pcqYzJZPUSca1v8c_6qlWtyullIQEcp7zHpKTN8ueMzpnVFRvYG38nFOm5qyqH2QzVpQql6qgD7MZrWWRC0rLi-xJjGtKMVjyx9kFL0tZU1XOsp-LYaNNIqElt9CvukRciDHXMQbT6wSWmE77FUTSe2Ih6d7h2TLYLTFh2ITYpz54oiPOCDgxuCW3XXCQ_6Y-fl4QBDZOx0GjSJwcKjn4Dg5zvCVdGCDEpFMfyRAsuL3SAD4hb-HH0-xRq12EZ_v9Mvv67u2X6w_5zaf3i-urm9yUgqdc84rTtlUgW24t42apOV1qJQAop1JTWUhe8GXFi1IKZlolqMUDjTxHVlxmr__obsbwbYKYmqGPBpzTHsIUG1apSnB823NQIYsaV4boy__QdZhGjxdpuGJS8lpV_BSFZQU2GMcdtdIOmt63IY3a7Eo3V6qqeaVqrk5SRVnLitVUIJUfoVbgYdQueGix0_dVz-EP9edHeBwWht4cLXBWwmGFVwcJHWiXuhjctPuR8b7ySfDIm5gRXTBC22zGftDjtmG02dmt2dmt2dkN21Ij_2LftWk5gP1H__XX3Z0ihtBG40Fbjyr-AsdQMI4</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Pourhassan, M</creator><creator>Glüer, C-C</creator><creator>Pick, P</creator><creator>Tigges, W</creator><creator>Müller, M J</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</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>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20170201</creationdate><title>Impact of weight loss-associated changes in detailed body composition as assessed by whole-body MRI on plasma insulin levels and homeostatis model assessment index</title><author>Pourhassan, M ; Glüer, C-C ; Pick, P ; Tigges, W ; Müller, M J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c732t-a2820ff6e5f2dd12cba20ba63ee0205a0545242b8247531cf630d242a5f22ba23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>59/57</topic><topic>692/499</topic><topic>692/699/1702</topic><topic>Adipose tissue</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Adipose Tissue - physiopathology</topic><topic>Adiposity - physiology</topic><topic>Adult</topic><topic>Aged</topic><topic>Bariatric Surgery</topic><topic>Body composition</topic><topic>Body Composition - physiology</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Body weight loss</topic><topic>Caloric Restriction</topic><topic>Clinical Nutrition</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Gastrointestinal surgery</topic><topic>Health aspects</topic><topic>Homeostasis</topic><topic>Homeostasis - physiology</topic><topic>Humans</topic><topic>Hypocaloric diet</topic><topic>Insulin</topic><topic>Insulin - blood</topic><topic>Insulin Resistance</topic><topic>Internal Medicine</topic><topic>Liver</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Multiple regression analysis</topic><topic>Muscles</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Nutrient deficiency</topic><topic>Obesity - blood</topic><topic>Obesity - diagnostic imaging</topic><topic>Obesity - therapy</topic><topic>original-article</topic><topic>Plasma</topic><topic>Postoperative Period</topic><topic>Public Health</topic><topic>Skeletal muscle</topic><topic>Weight control</topic><topic>Weight loss</topic><topic>Weight Loss - physiology</topic><topic>Whole Body Imaging - methods</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pourhassan, M</creatorcontrib><creatorcontrib>Glüer, C-C</creatorcontrib><creatorcontrib>Pick, P</creatorcontrib><creatorcontrib>Tigges, W</creatorcontrib><creatorcontrib>Müller, M J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest_Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pourhassan, M</au><au>Glüer, C-C</au><au>Pick, P</au><au>Tigges, W</au><au>Müller, M J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of weight loss-associated changes in detailed body composition as assessed by whole-body MRI on plasma insulin levels and homeostatis model assessment index</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2017-02-01</date><risdate>2017</risdate><volume>71</volume><issue>2</issue><spage>212</spage><epage>218</epage><pages>212-218</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/Objectives:
We assessed the effect of weight loss-associated changes in detailed body composition on plasma insulin levels and homeostatic model assessment (HOMA) index to calculate the magnitude of reduction in different adipose tissue depots required to improve insulin sensitivity.
SubjectS/Methods:
A total of 50 subjects aged 20–69 years were studied. The participants were compiled from low-calorie diet interventions and bariatric surgery and differed in their baseline body mass index (BMI; range 21.6–54.4 kg/m
2
) and degree of weight losses (range −3.3 to −56.9 kg). Detailed body composition and liver fat were measured using whole-body magnetic resonance imaging (MRI). Insulin resistance was assessed by HOMA.
Results:
Mean body weight decreased by −16.0±13.6 kg. Significant changes were observed in total adipose tissue (TAT
MRI
, range −0.5 to −36.0 kg), total subcutaneous adipose tissue (SAT
MRI
), visceral adipose tissue (VAT
MRI
), skeletal muscle, liver fat, plasma insulin levels and HOMA. Decreases in insulin and HOMA were correlated with reductions in TAT
MRI
, SAT
MRI
, VAT
MRI
(just with HOMA) and liver fat. Losses of 2.9 and 6.5 kg body weight, 2.0 and 5.0 kg TAT
MRI
as well as 1.6 and 6% liver fat were required to decrease plasma insulin levels by 1 μU/ml and HOMA
adjusted for baseline HOMA
by 1 point. Multiple regression analysis showed that baseline liver fat and changes in liver fat explained 49.7% and 55.1% of the variance in weight loss-associated changes in plasma insulin and HOMA, respectively.
Conclusions:
Decreases of adipose tissues and liver fat are the major determinants of reduction in plasma insulin levels and improvement in HOMA index.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>27759067</pmid><doi>10.1038/ejcn.2016.189</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | European journal of clinical nutrition, 2017-02, Vol.71 (2), p.212-218 |
issn | 0954-3007 1476-5640 |
language | eng |
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source | Springer Nature; Free E-Journal (出版社公開部分のみ) |
subjects | 59/57 692/499 692/699/1702 Adipose tissue Adipose Tissue - diagnostic imaging Adipose Tissue - physiopathology Adiposity - physiology Adult Aged Bariatric Surgery Body composition Body Composition - physiology Body fat Body mass index Body size Body weight Body weight loss Caloric Restriction Clinical Nutrition Epidemiology Female Gastrointestinal surgery Health aspects Homeostasis Homeostasis - physiology Humans Hypocaloric diet Insulin Insulin - blood Insulin Resistance Internal Medicine Liver Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Metabolic Diseases Methods Middle Aged Multiple regression analysis Muscles NMR Nuclear magnetic resonance Nutrient deficiency Obesity - blood Obesity - diagnostic imaging Obesity - therapy original-article Plasma Postoperative Period Public Health Skeletal muscle Weight control Weight loss Weight Loss - physiology Whole Body Imaging - methods Young Adult |
title | Impact of weight loss-associated changes in detailed body composition as assessed by whole-body MRI on plasma insulin levels and homeostatis model assessment index |
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