Relationships of serum high-sensitivity C-reactive protein and body size with insulin resistance in a Japanese cohort

Impacts of chronic systemic inflammation and body size and their interaction effect on insulin resistance in Asian populations, in whom obesity is less common, are not fully understood. This study evaluated combined relationships of systemic inflammation and body size with insulin resistance in a Ja...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2017-06, Vol.12 (6), p.e0178672-e0178672
Hauptverfasser: Uemura, Hirokazu, Katsuura-Kamano, Sakurako, Yamaguchi, Miwa, Bahari, Tirani, Ishizu, Masashi, Fujioka, Miho, Arisawa, Kokichi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0178672
container_issue 6
container_start_page e0178672
container_title PloS one
container_volume 12
creator Uemura, Hirokazu
Katsuura-Kamano, Sakurako
Yamaguchi, Miwa
Bahari, Tirani
Ishizu, Masashi
Fujioka, Miho
Arisawa, Kokichi
description Impacts of chronic systemic inflammation and body size and their interaction effect on insulin resistance in Asian populations, in whom obesity is less common, are not fully understood. This study evaluated combined relationships of systemic inflammation and body size with insulin resistance in a Japanese cohort. We analyzed cross-sectional data from 1,074 eligible subjects (536 men and 538 women) aged 35-69 years who participated in the baseline survey of a cohort study in Tokushima Prefecture, Japan. Systemic inflammation level was assessed by serum high-sensitivity C-reactive protein (hs-CRP), and the degree of insulin resistance and beta-cell function were evaluated by the homeostasis model assessment insulin resistance (HOMA-IR) and beta-cell function (HOMA-β), respectively. Overweight and obesity were defined as a body mass index (BMI) of 23.0-24.9 kg/m2 and ≥25.0 kg/m2, respectively. Associations between serum hs-CRP (assessed as quartiles and additionally continuous values after log-transformation) and indices of glucose homeostasis were analysed adjusting for probable covariates, including BMI (quartiles). Combined associations of serum hs-CRP (≤median, >median) and body size (normal, overweight, obese) with insulin resistance as well as their interaction effect on insulin resistance were also evaluated. Serum hs-CRP was dose-dependently associated with HOMA-IR, but not HOMA-β, after adjustment for probable covariates, including BMI. Subjects with obesity and elevated serum hs-CRP (>median) showed a high multivariable-adjusted HOMA-IR value of 1.32 (95% confidence interval (CI) 1.23, 1.41) compared with subjects with normal BMI and low serum hs-CRP (≤median) whose multivariable-adjusted HOMA-IR value was 1.14 (95% CI 1.06, 1.21). The interaction effect between body size (normal, overweight, obese) and serum hs-CRP (≤median, >median) on HOMA-IR was significant (P for interaction
doi_str_mv 10.1371/journal.pone.0178672
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1905486015</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A494012508</galeid><doaj_id>oai_doaj_org_article_379982111277496ba5e4b5f0a53cec2e</doaj_id><sourcerecordid>A494012508</sourcerecordid><originalsourceid>FETCH-LOGICAL-c6732-a38e57da777f15dd75f25ca84c055d907fc6bc26e4484123071c74babf996da3</originalsourceid><addsrcrecordid>eNqNk99v0zAQxyMEYmPwHyCwhITgocWOfyUvSFPFj6JJk8bEq-U4l8ZVGhfbGZS_HnfNpgbtAfnB9vlz3zuffVn2kuA5oZJ8WLvB97qbb10Pc0xkIWT-KDslJc1nIsf08dH6JHsWwhpjTgshnmYnecElJ5ieZsMVdDpa14fWbgNyDQrghw1q7aqdBeiDjfbGxh1azDxokzaAtt5FsD3SfY0qV-9QsH8A_bKxRbYPQ5eOPAQbou4NoD2Ivumt7iEAMq51Pj7PnjS6C_BinM-y68-frhdfZxeXX5aL84uZETKlrmkBXNZaStkQXteSNzk3umAGc16XWDZGVCYXwFjBSE6xJEaySldNWYpa07Ps9UF227mgxoIFRUrMWSEw4YlYHoja6bXaervRfqecturW4PxKaR-t6UBRWZZFTgjJpWSlqDQHVvEGa04NmByS1scx2lBtoDbQR6-7iej0pLetWrkbxRkXuBRJ4N0o4N3PAUJUGxsMdF0qnRsOeUvK0-Ml9M0_6MO3G6mVThewfeNSXLMXVeesZJjkHBeJmj9ApVHDxpr0uxqb7BOH9xOHxET4HVd6CEEtv1_9P3v5Y8q-PWJb0F1sg-uG2-85BdkBNN6F4KG5LzLBat8cd9VQ--ZQY3Mkt1fHD3TvdNcN9C9NUgph</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1905486015</pqid></control><display><type>article</type><title>Relationships of serum high-sensitivity C-reactive protein and body size with insulin resistance in a Japanese cohort</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Uemura, Hirokazu ; Katsuura-Kamano, Sakurako ; Yamaguchi, Miwa ; Bahari, Tirani ; Ishizu, Masashi ; Fujioka, Miho ; Arisawa, Kokichi</creator><contributor>Herder, Christian</contributor><creatorcontrib>Uemura, Hirokazu ; Katsuura-Kamano, Sakurako ; Yamaguchi, Miwa ; Bahari, Tirani ; Ishizu, Masashi ; Fujioka, Miho ; Arisawa, Kokichi ; Herder, Christian</creatorcontrib><description>Impacts of chronic systemic inflammation and body size and their interaction effect on insulin resistance in Asian populations, in whom obesity is less common, are not fully understood. This study evaluated combined relationships of systemic inflammation and body size with insulin resistance in a Japanese cohort. We analyzed cross-sectional data from 1,074 eligible subjects (536 men and 538 women) aged 35-69 years who participated in the baseline survey of a cohort study in Tokushima Prefecture, Japan. Systemic inflammation level was assessed by serum high-sensitivity C-reactive protein (hs-CRP), and the degree of insulin resistance and beta-cell function were evaluated by the homeostasis model assessment insulin resistance (HOMA-IR) and beta-cell function (HOMA-β), respectively. Overweight and obesity were defined as a body mass index (BMI) of 23.0-24.9 kg/m2 and ≥25.0 kg/m2, respectively. Associations between serum hs-CRP (assessed as quartiles and additionally continuous values after log-transformation) and indices of glucose homeostasis were analysed adjusting for probable covariates, including BMI (quartiles). Combined associations of serum hs-CRP (≤median, &gt;median) and body size (normal, overweight, obese) with insulin resistance as well as their interaction effect on insulin resistance were also evaluated. Serum hs-CRP was dose-dependently associated with HOMA-IR, but not HOMA-β, after adjustment for probable covariates, including BMI. Subjects with obesity and elevated serum hs-CRP (&gt;median) showed a high multivariable-adjusted HOMA-IR value of 1.32 (95% confidence interval (CI) 1.23, 1.41) compared with subjects with normal BMI and low serum hs-CRP (≤median) whose multivariable-adjusted HOMA-IR value was 1.14 (95% CI 1.06, 1.21). The interaction effect between body size (normal, overweight, obese) and serum hs-CRP (≤median, &gt;median) on HOMA-IR was significant (P for interaction &lt;0.001). Our study suggests that elevated systemic inflammation is dose-dependently associated with increased insulin resistance, independent of the known risk factors, in a Japanese population. Concomitant obesity and elevated systemic inflammation may synergistically contribute to increased insulin resistance.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0178672</identifier><identifier>PMID: 28575103</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adjustment ; Adult ; Aged ; Anthropometry ; Asian people ; Beta cells ; Biology and Life Sciences ; Body composition ; Body mass ; Body mass index ; Body Size ; Body weight ; C-reactive protein ; C-Reactive Protein - analysis ; Cardiovascular disease ; Confidence intervals ; Cross-Sectional Studies ; Cytokines ; Data processing ; Diabetes ; Diet ; Disease prevention ; Exercise ; Family medical history ; Female ; Food ; Genetic aspects ; Glucose - metabolism ; Health aspects ; Health risk assessment ; Health Surveys ; Homeostasis ; Humans ; Hyperglycemia - epidemiology ; Inflammation ; Inflammation - epidemiology ; Insulin ; Insulin Resistance ; Japan - epidemiology ; Life Style ; Lifestyles ; Male ; Medicine and Health Sciences ; Men ; Mens health ; Metabolism ; Middle Aged ; Obesity ; Overweight ; Overweight - epidemiology ; Preventive medicine ; Prospective Studies ; Proteins ; Quartiles ; Questionnaires ; Risk analysis ; Risk factors ; Sensitivity ; Sensitivity analysis ; Studies ; Transformation ; University graduates ; Values ; Womens health</subject><ispartof>PloS one, 2017-06, Vol.12 (6), p.e0178672-e0178672</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Uemura et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Uemura et al 2017 Uemura et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6732-a38e57da777f15dd75f25ca84c055d907fc6bc26e4484123071c74babf996da3</citedby><cites>FETCH-LOGICAL-c6732-a38e57da777f15dd75f25ca84c055d907fc6bc26e4484123071c74babf996da3</cites><orcidid>0000-0002-0443-4266</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456096/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456096/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28575103$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Herder, Christian</contributor><creatorcontrib>Uemura, Hirokazu</creatorcontrib><creatorcontrib>Katsuura-Kamano, Sakurako</creatorcontrib><creatorcontrib>Yamaguchi, Miwa</creatorcontrib><creatorcontrib>Bahari, Tirani</creatorcontrib><creatorcontrib>Ishizu, Masashi</creatorcontrib><creatorcontrib>Fujioka, Miho</creatorcontrib><creatorcontrib>Arisawa, Kokichi</creatorcontrib><title>Relationships of serum high-sensitivity C-reactive protein and body size with insulin resistance in a Japanese cohort</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Impacts of chronic systemic inflammation and body size and their interaction effect on insulin resistance in Asian populations, in whom obesity is less common, are not fully understood. This study evaluated combined relationships of systemic inflammation and body size with insulin resistance in a Japanese cohort. We analyzed cross-sectional data from 1,074 eligible subjects (536 men and 538 women) aged 35-69 years who participated in the baseline survey of a cohort study in Tokushima Prefecture, Japan. Systemic inflammation level was assessed by serum high-sensitivity C-reactive protein (hs-CRP), and the degree of insulin resistance and beta-cell function were evaluated by the homeostasis model assessment insulin resistance (HOMA-IR) and beta-cell function (HOMA-β), respectively. Overweight and obesity were defined as a body mass index (BMI) of 23.0-24.9 kg/m2 and ≥25.0 kg/m2, respectively. Associations between serum hs-CRP (assessed as quartiles and additionally continuous values after log-transformation) and indices of glucose homeostasis were analysed adjusting for probable covariates, including BMI (quartiles). Combined associations of serum hs-CRP (≤median, &gt;median) and body size (normal, overweight, obese) with insulin resistance as well as their interaction effect on insulin resistance were also evaluated. Serum hs-CRP was dose-dependently associated with HOMA-IR, but not HOMA-β, after adjustment for probable covariates, including BMI. Subjects with obesity and elevated serum hs-CRP (&gt;median) showed a high multivariable-adjusted HOMA-IR value of 1.32 (95% confidence interval (CI) 1.23, 1.41) compared with subjects with normal BMI and low serum hs-CRP (≤median) whose multivariable-adjusted HOMA-IR value was 1.14 (95% CI 1.06, 1.21). The interaction effect between body size (normal, overweight, obese) and serum hs-CRP (≤median, &gt;median) on HOMA-IR was significant (P for interaction &lt;0.001). Our study suggests that elevated systemic inflammation is dose-dependently associated with increased insulin resistance, independent of the known risk factors, in a Japanese population. Concomitant obesity and elevated systemic inflammation may synergistically contribute to increased insulin resistance.</description><subject>Adjustment</subject><subject>Adult</subject><subject>Aged</subject><subject>Anthropometry</subject><subject>Asian people</subject><subject>Beta cells</subject><subject>Biology and Life Sciences</subject><subject>Body composition</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body Size</subject><subject>Body weight</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - analysis</subject><subject>Cardiovascular disease</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Cytokines</subject><subject>Data processing</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Disease prevention</subject><subject>Exercise</subject><subject>Family medical history</subject><subject>Female</subject><subject>Food</subject><subject>Genetic aspects</subject><subject>Glucose - metabolism</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Health Surveys</subject><subject>Homeostasis</subject><subject>Humans</subject><subject>Hyperglycemia - epidemiology</subject><subject>Inflammation</subject><subject>Inflammation - epidemiology</subject><subject>Insulin</subject><subject>Insulin Resistance</subject><subject>Japan - epidemiology</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Men</subject><subject>Mens health</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Overweight - epidemiology</subject><subject>Preventive medicine</subject><subject>Prospective Studies</subject><subject>Proteins</subject><subject>Quartiles</subject><subject>Questionnaires</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Studies</subject><subject>Transformation</subject><subject>University graduates</subject><subject>Values</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99v0zAQxyMEYmPwHyCwhITgocWOfyUvSFPFj6JJk8bEq-U4l8ZVGhfbGZS_HnfNpgbtAfnB9vlz3zuffVn2kuA5oZJ8WLvB97qbb10Pc0xkIWT-KDslJc1nIsf08dH6JHsWwhpjTgshnmYnecElJ5ieZsMVdDpa14fWbgNyDQrghw1q7aqdBeiDjfbGxh1azDxokzaAtt5FsD3SfY0qV-9QsH8A_bKxRbYPQ5eOPAQbou4NoD2Ivumt7iEAMq51Pj7PnjS6C_BinM-y68-frhdfZxeXX5aL84uZETKlrmkBXNZaStkQXteSNzk3umAGc16XWDZGVCYXwFjBSE6xJEaySldNWYpa07Ps9UF227mgxoIFRUrMWSEw4YlYHoja6bXaervRfqecturW4PxKaR-t6UBRWZZFTgjJpWSlqDQHVvEGa04NmByS1scx2lBtoDbQR6-7iej0pLetWrkbxRkXuBRJ4N0o4N3PAUJUGxsMdF0qnRsOeUvK0-Ml9M0_6MO3G6mVThewfeNSXLMXVeesZJjkHBeJmj9ApVHDxpr0uxqb7BOH9xOHxET4HVd6CEEtv1_9P3v5Y8q-PWJb0F1sg-uG2-85BdkBNN6F4KG5LzLBat8cd9VQ--ZQY3Mkt1fHD3TvdNcN9C9NUgph</recordid><startdate>20170602</startdate><enddate>20170602</enddate><creator>Uemura, Hirokazu</creator><creator>Katsuura-Kamano, Sakurako</creator><creator>Yamaguchi, Miwa</creator><creator>Bahari, Tirani</creator><creator>Ishizu, Masashi</creator><creator>Fujioka, Miho</creator><creator>Arisawa, Kokichi</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0443-4266</orcidid></search><sort><creationdate>20170602</creationdate><title>Relationships of serum high-sensitivity C-reactive protein and body size with insulin resistance in a Japanese cohort</title><author>Uemura, Hirokazu ; Katsuura-Kamano, Sakurako ; Yamaguchi, Miwa ; Bahari, Tirani ; Ishizu, Masashi ; Fujioka, Miho ; Arisawa, Kokichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6732-a38e57da777f15dd75f25ca84c055d907fc6bc26e4484123071c74babf996da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adjustment</topic><topic>Adult</topic><topic>Aged</topic><topic>Anthropometry</topic><topic>Asian people</topic><topic>Beta cells</topic><topic>Biology and Life Sciences</topic><topic>Body composition</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body Size</topic><topic>Body weight</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - analysis</topic><topic>Cardiovascular disease</topic><topic>Confidence intervals</topic><topic>Cross-Sectional Studies</topic><topic>Cytokines</topic><topic>Data processing</topic><topic>Diabetes</topic><topic>Diet</topic><topic>Disease prevention</topic><topic>Exercise</topic><topic>Family medical history</topic><topic>Female</topic><topic>Food</topic><topic>Genetic aspects</topic><topic>Glucose - metabolism</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Health Surveys</topic><topic>Homeostasis</topic><topic>Humans</topic><topic>Hyperglycemia - epidemiology</topic><topic>Inflammation</topic><topic>Inflammation - epidemiology</topic><topic>Insulin</topic><topic>Insulin Resistance</topic><topic>Japan - epidemiology</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Men</topic><topic>Mens health</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Overweight - epidemiology</topic><topic>Preventive medicine</topic><topic>Prospective Studies</topic><topic>Proteins</topic><topic>Quartiles</topic><topic>Questionnaires</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Studies</topic><topic>Transformation</topic><topic>University graduates</topic><topic>Values</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uemura, Hirokazu</creatorcontrib><creatorcontrib>Katsuura-Kamano, Sakurako</creatorcontrib><creatorcontrib>Yamaguchi, Miwa</creatorcontrib><creatorcontrib>Bahari, Tirani</creatorcontrib><creatorcontrib>Ishizu, Masashi</creatorcontrib><creatorcontrib>Fujioka, Miho</creatorcontrib><creatorcontrib>Arisawa, Kokichi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; 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</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uemura, Hirokazu</au><au>Katsuura-Kamano, Sakurako</au><au>Yamaguchi, Miwa</au><au>Bahari, Tirani</au><au>Ishizu, Masashi</au><au>Fujioka, Miho</au><au>Arisawa, Kokichi</au><au>Herder, Christian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationships of serum high-sensitivity C-reactive protein and body size with insulin resistance in a Japanese cohort</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-06-02</date><risdate>2017</risdate><volume>12</volume><issue>6</issue><spage>e0178672</spage><epage>e0178672</epage><pages>e0178672-e0178672</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Impacts of chronic systemic inflammation and body size and their interaction effect on insulin resistance in Asian populations, in whom obesity is less common, are not fully understood. This study evaluated combined relationships of systemic inflammation and body size with insulin resistance in a Japanese cohort. We analyzed cross-sectional data from 1,074 eligible subjects (536 men and 538 women) aged 35-69 years who participated in the baseline survey of a cohort study in Tokushima Prefecture, Japan. Systemic inflammation level was assessed by serum high-sensitivity C-reactive protein (hs-CRP), and the degree of insulin resistance and beta-cell function were evaluated by the homeostasis model assessment insulin resistance (HOMA-IR) and beta-cell function (HOMA-β), respectively. Overweight and obesity were defined as a body mass index (BMI) of 23.0-24.9 kg/m2 and ≥25.0 kg/m2, respectively. Associations between serum hs-CRP (assessed as quartiles and additionally continuous values after log-transformation) and indices of glucose homeostasis were analysed adjusting for probable covariates, including BMI (quartiles). Combined associations of serum hs-CRP (≤median, &gt;median) and body size (normal, overweight, obese) with insulin resistance as well as their interaction effect on insulin resistance were also evaluated. Serum hs-CRP was dose-dependently associated with HOMA-IR, but not HOMA-β, after adjustment for probable covariates, including BMI. Subjects with obesity and elevated serum hs-CRP (&gt;median) showed a high multivariable-adjusted HOMA-IR value of 1.32 (95% confidence interval (CI) 1.23, 1.41) compared with subjects with normal BMI and low serum hs-CRP (≤median) whose multivariable-adjusted HOMA-IR value was 1.14 (95% CI 1.06, 1.21). The interaction effect between body size (normal, overweight, obese) and serum hs-CRP (≤median, &gt;median) on HOMA-IR was significant (P for interaction &lt;0.001). Our study suggests that elevated systemic inflammation is dose-dependently associated with increased insulin resistance, independent of the known risk factors, in a Japanese population. Concomitant obesity and elevated systemic inflammation may synergistically contribute to increased insulin resistance.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28575103</pmid><doi>10.1371/journal.pone.0178672</doi><tpages>e0178672</tpages><orcidid>https://orcid.org/0000-0002-0443-4266</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2017-06, Vol.12 (6), p.e0178672-e0178672
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1905486015
source MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Adjustment
Adult
Aged
Anthropometry
Asian people
Beta cells
Biology and Life Sciences
Body composition
Body mass
Body mass index
Body Size
Body weight
C-reactive protein
C-Reactive Protein - analysis
Cardiovascular disease
Confidence intervals
Cross-Sectional Studies
Cytokines
Data processing
Diabetes
Diet
Disease prevention
Exercise
Family medical history
Female
Food
Genetic aspects
Glucose - metabolism
Health aspects
Health risk assessment
Health Surveys
Homeostasis
Humans
Hyperglycemia - epidemiology
Inflammation
Inflammation - epidemiology
Insulin
Insulin Resistance
Japan - epidemiology
Life Style
Lifestyles
Male
Medicine and Health Sciences
Men
Mens health
Metabolism
Middle Aged
Obesity
Overweight
Overweight - epidemiology
Preventive medicine
Prospective Studies
Proteins
Quartiles
Questionnaires
Risk analysis
Risk factors
Sensitivity
Sensitivity analysis
Studies
Transformation
University graduates
Values
Womens health
title Relationships of serum high-sensitivity C-reactive protein and body size with insulin resistance in a Japanese cohort
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T03%3A56%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relationships%20of%20serum%20high-sensitivity%20C-reactive%20protein%20and%20body%20size%20with%20insulin%20resistance%20in%20a%20Japanese%20cohort&rft.jtitle=PloS%20one&rft.au=Uemura,%20Hirokazu&rft.date=2017-06-02&rft.volume=12&rft.issue=6&rft.spage=e0178672&rft.epage=e0178672&rft.pages=e0178672-e0178672&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0178672&rft_dat=%3Cgale_plos_%3EA494012508%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1905486015&rft_id=info:pmid/28575103&rft_galeid=A494012508&rft_doaj_id=oai_doaj_org_article_379982111277496ba5e4b5f0a53cec2e&rfr_iscdi=true