Metabolic Syndrome and Robustness Tradeoffs
Metabolic Syndrome and Robustness Tradeoffs Hiroaki Kitano 1 2 3 , Kanae Oda 4 , Tomomi Kimura 2 4 , Yukiko Matsuoka 5 , Marie Csete 6 , John Doyle 7 and Masaaki Muramatsu 4 1 Sony Computer Science Laboratories, Inc., Tokyo, Japan 2 Systems Biology Institute, Tokyo, Japan 3 Keio University, Tokyo, J...
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creator | KITANO, Hiroaki ODA, Kanae KIMURA, Tomomi MATSUOKA, Yukiko CSETE, Made DOYLE, John MURAMATSU, Masaaki |
description | Metabolic Syndrome and Robustness Tradeoffs
Hiroaki Kitano 1 2 3 ,
Kanae Oda 4 ,
Tomomi Kimura 2 4 ,
Yukiko Matsuoka 5 ,
Marie Csete 6 ,
John Doyle 7 and
Masaaki Muramatsu 4
1 Sony Computer Science Laboratories, Inc., Tokyo, Japan
2 Systems Biology Institute, Tokyo, Japan
3 Keio University, Tokyo, Japan
4 Medicala Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
5 ERATO-SORST Kitano Symbiotic Systems Project, Japan Science and Technology Agency, Tokyo, Japan
6 Anesthesiology Department, Emory University, Atlanta, Georgia
7 Control and Dynamical Systems, California Institute of Technology, Pasadena, California
Address correspondence and reprint requests to Hiroaki Kitano, Sony Computer Science Laboratories, Inc. 3-14-13, Higashi-Gotanda,
Shinagawa, Tokyo 141-0022 Japan. E-mail: kitano{at}csl.sony.co.jp
Abstract
The metabolic syndrome is a highly complex breakdown of normal physiology characterized by obesity, insulin resistance, hyperlipidemia,
and hypertension. Type 2 diabetes is a major manifestation of this syndrome, although increased risk for cardiovascular disease
(CVD) often precedes the onset of frank clinical diabetes. Prevention and cure for this disease constellation is of major
importance to world health. Because the metabolic syndrome affects multiple interacting organ systems (i.e., it is a systemic
disease), a systems-level analysis of disease evolution is essential for both complete elucidation of its pathophysiology
and improved approaches to therapy. The goal of this review is to provide a perspective on systems-level approaches to metabolic
syndrome, with particular emphasis on type 2 diabetes. We consider that metabolic syndromes take over inherent dynamics of
our body that ensure robustness against unstable food supply and pathogenic infections, and lead to chronic inflammation that
ultimately results in CVD. This exemplifies how trade-offs between robustness against common perturbations (unstable food
and infections) and fragility against unusual perturbations (high–energy content foods and low–energy utilization lifestyle)
is exploited to form chronic diseases. Possible therapeutic approaches that target fragility of emergent robustness of the
disease state have been discussed. A detailed molecular interaction map for adipocyte, hepatocyte, skeletal muscle cell, and
pancreatic β-cell cross-talk in the metabolic syndrome can be viewed at http://www.systems-biology.org/001/003.html .
CVD, cardiovascular disease
FFA, |
doi_str_mv | 10.2337/diabetes.53.suppl_3.S6 |
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Hiroaki Kitano 1 2 3 ,
Kanae Oda 4 ,
Tomomi Kimura 2 4 ,
Yukiko Matsuoka 5 ,
Marie Csete 6 ,
John Doyle 7 and
Masaaki Muramatsu 4
1 Sony Computer Science Laboratories, Inc., Tokyo, Japan
2 Systems Biology Institute, Tokyo, Japan
3 Keio University, Tokyo, Japan
4 Medicala Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
5 ERATO-SORST Kitano Symbiotic Systems Project, Japan Science and Technology Agency, Tokyo, Japan
6 Anesthesiology Department, Emory University, Atlanta, Georgia
7 Control and Dynamical Systems, California Institute of Technology, Pasadena, California
Address correspondence and reprint requests to Hiroaki Kitano, Sony Computer Science Laboratories, Inc. 3-14-13, Higashi-Gotanda,
Shinagawa, Tokyo 141-0022 Japan. E-mail: kitano{at}csl.sony.co.jp
Abstract
The metabolic syndrome is a highly complex breakdown of normal physiology characterized by obesity, insulin resistance, hyperlipidemia,
and hypertension. Type 2 diabetes is a major manifestation of this syndrome, although increased risk for cardiovascular disease
(CVD) often precedes the onset of frank clinical diabetes. Prevention and cure for this disease constellation is of major
importance to world health. Because the metabolic syndrome affects multiple interacting organ systems (i.e., it is a systemic
disease), a systems-level analysis of disease evolution is essential for both complete elucidation of its pathophysiology
and improved approaches to therapy. The goal of this review is to provide a perspective on systems-level approaches to metabolic
syndrome, with particular emphasis on type 2 diabetes. We consider that metabolic syndromes take over inherent dynamics of
our body that ensure robustness against unstable food supply and pathogenic infections, and lead to chronic inflammation that
ultimately results in CVD. This exemplifies how trade-offs between robustness against common perturbations (unstable food
and infections) and fragility against unusual perturbations (high–energy content foods and low–energy utilization lifestyle)
is exploited to form chronic diseases. Possible therapeutic approaches that target fragility of emergent robustness of the
disease state have been discussed. A detailed molecular interaction map for adipocyte, hepatocyte, skeletal muscle cell, and
pancreatic β-cell cross-talk in the metabolic syndrome can be viewed at http://www.systems-biology.org/001/003.html .
CVD, cardiovascular disease
FFA, free fatty acid
IL, interleukin
PPAR, peroxisome proliferator–activated receptor
TNF, tumor necrosis factor
TZD, thiazolidinedione
Footnotes
This article is based on a presentation at a symposium. The symposium and the publication of this article were made possible
by an unrestricted educational grant from Servier.
Accepted April 12, 2004.
Received February 23, 2004.
DIABETES</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/diabetes.53.suppl_3.S6</identifier><identifier>PMID: 15561923</identifier><identifier>CODEN: DIAEAZ</identifier><language>eng</language><publisher>Alexandria, VA: American Diabetes Association</publisher><subject>Aircraft ; Aviation ; Biological and medical sciences ; Biology ; Cell cycle ; Computers ; Design ; Diabetes ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - physiopathology ; Diabetes. Impaired glucose tolerance ; Disease ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Energy ; Energy Metabolism ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Failure ; Glucose ; Glucose - metabolism ; Homeostasis ; Humans ; Insulin Resistance ; Medical sciences ; Metabolic diseases ; Metabolic syndrome ; Metabolic Syndrome - physiopathology ; Miscellaneous ; Other metabolic disorders ; Software</subject><ispartof>Diabetes (New York, N.Y.), 2004-12, Vol.53 (suppl 3), p.S6-S15</ispartof><rights>2005 INIST-CNRS</rights><rights>Copyright American Diabetes Association Dec 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-227335fa658feca0a1be459a7a5dc9fbe17f72fbba4f3e37515618f9e3354e013</citedby><cites>FETCH-LOGICAL-c518t-227335fa658feca0a1be459a7a5dc9fbe17f72fbba4f3e37515618f9e3354e013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>310,311,315,781,785,790,791,23931,23932,25141,27925,27926</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16322803$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15561923$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>KITANO, Hiroaki</creatorcontrib><creatorcontrib>ODA, Kanae</creatorcontrib><creatorcontrib>KIMURA, Tomomi</creatorcontrib><creatorcontrib>MATSUOKA, Yukiko</creatorcontrib><creatorcontrib>CSETE, Made</creatorcontrib><creatorcontrib>DOYLE, John</creatorcontrib><creatorcontrib>MURAMATSU, Masaaki</creatorcontrib><title>Metabolic Syndrome and Robustness Tradeoffs</title><title>Diabetes (New York, N.Y.)</title><addtitle>Diabetes</addtitle><description>Metabolic Syndrome and Robustness Tradeoffs
Hiroaki Kitano 1 2 3 ,
Kanae Oda 4 ,
Tomomi Kimura 2 4 ,
Yukiko Matsuoka 5 ,
Marie Csete 6 ,
John Doyle 7 and
Masaaki Muramatsu 4
1 Sony Computer Science Laboratories, Inc., Tokyo, Japan
2 Systems Biology Institute, Tokyo, Japan
3 Keio University, Tokyo, Japan
4 Medicala Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
5 ERATO-SORST Kitano Symbiotic Systems Project, Japan Science and Technology Agency, Tokyo, Japan
6 Anesthesiology Department, Emory University, Atlanta, Georgia
7 Control and Dynamical Systems, California Institute of Technology, Pasadena, California
Address correspondence and reprint requests to Hiroaki Kitano, Sony Computer Science Laboratories, Inc. 3-14-13, Higashi-Gotanda,
Shinagawa, Tokyo 141-0022 Japan. E-mail: kitano{at}csl.sony.co.jp
Abstract
The metabolic syndrome is a highly complex breakdown of normal physiology characterized by obesity, insulin resistance, hyperlipidemia,
and hypertension. Type 2 diabetes is a major manifestation of this syndrome, although increased risk for cardiovascular disease
(CVD) often precedes the onset of frank clinical diabetes. Prevention and cure for this disease constellation is of major
importance to world health. Because the metabolic syndrome affects multiple interacting organ systems (i.e., it is a systemic
disease), a systems-level analysis of disease evolution is essential for both complete elucidation of its pathophysiology
and improved approaches to therapy. The goal of this review is to provide a perspective on systems-level approaches to metabolic
syndrome, with particular emphasis on type 2 diabetes. We consider that metabolic syndromes take over inherent dynamics of
our body that ensure robustness against unstable food supply and pathogenic infections, and lead to chronic inflammation that
ultimately results in CVD. This exemplifies how trade-offs between robustness against common perturbations (unstable food
and infections) and fragility against unusual perturbations (high–energy content foods and low–energy utilization lifestyle)
is exploited to form chronic diseases. Possible therapeutic approaches that target fragility of emergent robustness of the
disease state have been discussed. A detailed molecular interaction map for adipocyte, hepatocyte, skeletal muscle cell, and
pancreatic β-cell cross-talk in the metabolic syndrome can be viewed at http://www.systems-biology.org/001/003.html .
CVD, cardiovascular disease
FFA, free fatty acid
IL, interleukin
PPAR, peroxisome proliferator–activated receptor
TNF, tumor necrosis factor
TZD, thiazolidinedione
Footnotes
This article is based on a presentation at a symposium. The symposium and the publication of this article were made possible
by an unrestricted educational grant from Servier.
Accepted April 12, 2004.
Received February 23, 2004.
DIABETES</description><subject>Aircraft</subject><subject>Aviation</subject><subject>Biological and medical sciences</subject><subject>Biology</subject><subject>Cell cycle</subject><subject>Computers</subject><subject>Design</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - physiopathology</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Disease</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Energy</subject><subject>Energy Metabolism</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Failure</subject><subject>Glucose</subject><subject>Glucose - metabolism</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Medical sciences</subject><subject>Metabolic diseases</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - physiopathology</subject><subject>Miscellaneous</subject><subject>Other metabolic disorders</subject><subject>Software</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kFtLwzAYhoMobh7-wiiC3ki7HJqkvZThCSaCm-BdSNMvrqOHmbTI_r0dqwwE-S6-m-c98CI0ITiijMlpXugMWvARZ5HvNptSsWghjtCYpCwNGZUfx2iMMaEhkakcoTPv1xhj0d8pGhHOBUkpG6PbF2h11pSFCRbbOndNBYGu8-CtyTrf1uB9sHQ6h8Zaf4FOrC49XA7_HL0_3C9nT-H89fF5djcPDSdJG1IqGeNWC55YMBprkkHMUy01z01qMyDSSmqzTMeWAZOc9GUSm0KvigETdo5u9r4b13x14FtVFd5AWeoams4rIXEqKI978OoPuG46V_fdFCUiTjAROzexh4xrvHdg1cYVlXZbRbDabal-t1ScqWFLtRC9cDK4d1kF-UE2jNcD1wOgvdGldbo2hT9wglGa4B033XOr4nP1XTg4JP4T_QOahpIU</recordid><startdate>20041201</startdate><enddate>20041201</enddate><creator>KITANO, Hiroaki</creator><creator>ODA, Kanae</creator><creator>KIMURA, Tomomi</creator><creator>MATSUOKA, Yukiko</creator><creator>CSETE, Made</creator><creator>DOYLE, John</creator><creator>MURAMATSU, Masaaki</creator><general>American Diabetes Association</general><scope>IQODW</scope><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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</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>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</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>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>20041201</creationdate><title>Metabolic Syndrome and Robustness Tradeoffs</title><author>KITANO, Hiroaki ; ODA, Kanae ; KIMURA, Tomomi ; MATSUOKA, Yukiko ; CSETE, Made ; DOYLE, John ; MURAMATSU, Masaaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-227335fa658feca0a1be459a7a5dc9fbe17f72fbba4f3e37515618f9e3354e013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Aircraft</topic><topic>Aviation</topic><topic>Biological and medical sciences</topic><topic>Biology</topic><topic>Cell cycle</topic><topic>Computers</topic><topic>Design</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes Mellitus, Type 2 - physiopathology</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Disease</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Energy</topic><topic>Energy Metabolism</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Failure</topic><topic>Glucose</topic><topic>Glucose - metabolism</topic><topic>Homeostasis</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Medical sciences</topic><topic>Metabolic diseases</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - physiopathology</topic><topic>Miscellaneous</topic><topic>Other metabolic disorders</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KITANO, Hiroaki</creatorcontrib><creatorcontrib>ODA, Kanae</creatorcontrib><creatorcontrib>KIMURA, Tomomi</creatorcontrib><creatorcontrib>MATSUOKA, Yukiko</creatorcontrib><creatorcontrib>CSETE, Made</creatorcontrib><creatorcontrib>DOYLE, John</creatorcontrib><creatorcontrib>MURAMATSU, Masaaki</creatorcontrib><collection>Pascal-Francis</collection><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>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>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>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</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 China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KITANO, Hiroaki</au><au>ODA, Kanae</au><au>KIMURA, Tomomi</au><au>MATSUOKA, Yukiko</au><au>CSETE, Made</au><au>DOYLE, John</au><au>MURAMATSU, Masaaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic Syndrome and Robustness Tradeoffs</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><addtitle>Diabetes</addtitle><date>2004-12-01</date><risdate>2004</risdate><volume>53</volume><issue>suppl 3</issue><spage>S6</spage><epage>S15</epage><pages>S6-S15</pages><issn>0012-1797</issn><eissn>1939-327X</eissn><coden>DIAEAZ</coden><abstract>Metabolic Syndrome and Robustness Tradeoffs
Hiroaki Kitano 1 2 3 ,
Kanae Oda 4 ,
Tomomi Kimura 2 4 ,
Yukiko Matsuoka 5 ,
Marie Csete 6 ,
John Doyle 7 and
Masaaki Muramatsu 4
1 Sony Computer Science Laboratories, Inc., Tokyo, Japan
2 Systems Biology Institute, Tokyo, Japan
3 Keio University, Tokyo, Japan
4 Medicala Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
5 ERATO-SORST Kitano Symbiotic Systems Project, Japan Science and Technology Agency, Tokyo, Japan
6 Anesthesiology Department, Emory University, Atlanta, Georgia
7 Control and Dynamical Systems, California Institute of Technology, Pasadena, California
Address correspondence and reprint requests to Hiroaki Kitano, Sony Computer Science Laboratories, Inc. 3-14-13, Higashi-Gotanda,
Shinagawa, Tokyo 141-0022 Japan. E-mail: kitano{at}csl.sony.co.jp
Abstract
The metabolic syndrome is a highly complex breakdown of normal physiology characterized by obesity, insulin resistance, hyperlipidemia,
and hypertension. Type 2 diabetes is a major manifestation of this syndrome, although increased risk for cardiovascular disease
(CVD) often precedes the onset of frank clinical diabetes. Prevention and cure for this disease constellation is of major
importance to world health. Because the metabolic syndrome affects multiple interacting organ systems (i.e., it is a systemic
disease), a systems-level analysis of disease evolution is essential for both complete elucidation of its pathophysiology
and improved approaches to therapy. The goal of this review is to provide a perspective on systems-level approaches to metabolic
syndrome, with particular emphasis on type 2 diabetes. We consider that metabolic syndromes take over inherent dynamics of
our body that ensure robustness against unstable food supply and pathogenic infections, and lead to chronic inflammation that
ultimately results in CVD. This exemplifies how trade-offs between robustness against common perturbations (unstable food
and infections) and fragility against unusual perturbations (high–energy content foods and low–energy utilization lifestyle)
is exploited to form chronic diseases. Possible therapeutic approaches that target fragility of emergent robustness of the
disease state have been discussed. A detailed molecular interaction map for adipocyte, hepatocyte, skeletal muscle cell, and
pancreatic β-cell cross-talk in the metabolic syndrome can be viewed at http://www.systems-biology.org/001/003.html .
CVD, cardiovascular disease
FFA, free fatty acid
IL, interleukin
PPAR, peroxisome proliferator–activated receptor
TNF, tumor necrosis factor
TZD, thiazolidinedione
Footnotes
This article is based on a presentation at a symposium. The symposium and the publication of this article were made possible
by an unrestricted educational grant from Servier.
Accepted April 12, 2004.
Received February 23, 2004.
DIABETES</abstract><cop>Alexandria, VA</cop><pub>American Diabetes Association</pub><pmid>15561923</pmid><doi>10.2337/diabetes.53.suppl_3.S6</doi><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
subjects | Aircraft Aviation Biological and medical sciences Biology Cell cycle Computers Design Diabetes Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - physiopathology Diabetes. Impaired glucose tolerance Disease Endocrine pancreas. Apud cells (diseases) Endocrinopathies Energy Energy Metabolism Etiopathogenesis. Screening. Investigations. Target tissue resistance Failure Glucose Glucose - metabolism Homeostasis Humans Insulin Resistance Medical sciences Metabolic diseases Metabolic syndrome Metabolic Syndrome - physiopathology Miscellaneous Other metabolic disorders Software |
title | Metabolic Syndrome and Robustness Tradeoffs |
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