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Visceral obesity relates to deep white matter hyperintensities via inflammation
Objective White matter hyperintensities (WMHs) are linked to vascular risk factors and increase the risk of cognitive decline, dementia, and stroke. We here aimed to determine whether obesity contributes to regional WMHs using a whole‐brain approach in a well‐characterized population‐based cohort. M...
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Published in: | Annals of neurology 2019-02, Vol.85 (2), p.194-203 |
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creator | Lampe, Leonie Zhang, Rui Beyer, Frauke Huhn, Sebastian Kharabian Masouleh, Shahrzad Preusser, Sven Bazin, Pierre‐Louis Schroeter, Matthias L. Villringer, Arno Witte, A. Veronica |
description | Objective
White matter hyperintensities (WMHs) are linked to vascular risk factors and increase the risk of cognitive decline, dementia, and stroke. We here aimed to determine whether obesity contributes to regional WMHs using a whole‐brain approach in a well‐characterized population‐based cohort.
Methods
Waist‐to‐hip ratio (WHR), body mass index (BMI), systolic/diastolic blood pressure, hypertension, diabetes and smoking status, blood glucose and inflammatory markers, as well as distribution of WMH were assessed in 1,825 participants of the LIFE‐adult study (age, 20–82 years; BMI, 18.4–55.4 kg/m2) using high‐resolution 3‐Tesla magnetic resonance imaging. Voxel‐wise analyses tested if obesity predicts regional probability of WMH. Additionally, mediation effects of high‐sensitive C‐reactive protein and interleukin‐6 (IL6) measured in blood were related to obesity and WMH using linear regression and structural equation models.
Results
WHR related to higher WMH probability predominantly in the deep white matter, even after adjusting for effects of age, sex, and systolic blood pressure (mean ß = 0.0043 [0.0008 SE], 95% confidence interval, [0.00427, 0.0043]; threshold‐free cluster enhancement, family‐wise error‐corrected p < 0.05). Conversely, higher systolic blood pressure was associated with WMH in periventricular white matter regions. Mediation analyses indicated that both higher WHR and higher BMI contributed to increased deep‐to‐periventricular WMH ratio through elevated IL6.
Interpretation
Our results indicate an increased WMH burden selectively in the deep white matter in obese subjects with high visceral fat accumulation, independent of common obesity comorbidities such as hypertension. Mediation analyses proposed that visceral obesity contributes to deep white matter lesions through increases in proinflammatory cytokines, suggesting a pathomechanistic link. Longitudinal studies need to confirm this hypothesis. ANN NEUROL 2019;85:194–203. |
doi_str_mv | 10.1002/ana.25396 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6590485</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2157679959</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4436-e8b9d4d22164733634606f7ffb69d87cca47f880c9459fbecfc38d1f3b76805c3</originalsourceid><addsrcrecordid>eNp10U9rFDEYBvAgil2rB7-ADHiph2nzf5KLsBS1QrEX9RoymTduykyyJtmW_fZN3VpU8JTD--PhffMg9JrgU4IxPbPRnlLBtHyCVkQw0ivK9VO0wkzyXhDGj9CLUq4xxloS_BwdMSyEFFqu0NX3UBxkO3dphBLqvssw2wqlq6mbALbd7SZU6BZbK-Rus99CDrFCbDY0dRNsF6Kf7dJESPEleubtXODVw3uMvn388PX8or-8-vT5fH3ZO86Z7EGNeuITpUTygTHJuMTSD96PUk9qcM7ywSuFneZC-xGcd0xNxLNxkAoLx47R-0PudjcuMDmItR1htjksNu9NssH8PYlhY36kG9POxlyJFnDyEJDTzx2Uapb7n5hnGyHtiqFEDHLQWuhG3_5Dr9Mux3ZeUwOlijKimnp3UC6nUjL4x2UINvc1mVaT-VVTs2_-3P5R_u6lgbMDuA0z7P-fZNZf1ofIOwuOnYg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2172282318</pqid></control><display><type>article</type><title>Visceral obesity relates to deep white matter hyperintensities via inflammation</title><source>Wiley</source><creator>Lampe, Leonie ; Zhang, Rui ; Beyer, Frauke ; Huhn, Sebastian ; Kharabian Masouleh, Shahrzad ; Preusser, Sven ; Bazin, Pierre‐Louis ; Schroeter, Matthias L. ; Villringer, Arno ; Witte, A. Veronica</creator><creatorcontrib>Lampe, Leonie ; Zhang, Rui ; Beyer, Frauke ; Huhn, Sebastian ; Kharabian Masouleh, Shahrzad ; Preusser, Sven ; Bazin, Pierre‐Louis ; Schroeter, Matthias L. ; Villringer, Arno ; Witte, A. Veronica</creatorcontrib><description>Objective
White matter hyperintensities (WMHs) are linked to vascular risk factors and increase the risk of cognitive decline, dementia, and stroke. We here aimed to determine whether obesity contributes to regional WMHs using a whole‐brain approach in a well‐characterized population‐based cohort.
Methods
Waist‐to‐hip ratio (WHR), body mass index (BMI), systolic/diastolic blood pressure, hypertension, diabetes and smoking status, blood glucose and inflammatory markers, as well as distribution of WMH were assessed in 1,825 participants of the LIFE‐adult study (age, 20–82 years; BMI, 18.4–55.4 kg/m2) using high‐resolution 3‐Tesla magnetic resonance imaging. Voxel‐wise analyses tested if obesity predicts regional probability of WMH. Additionally, mediation effects of high‐sensitive C‐reactive protein and interleukin‐6 (IL6) measured in blood were related to obesity and WMH using linear regression and structural equation models.
Results
WHR related to higher WMH probability predominantly in the deep white matter, even after adjusting for effects of age, sex, and systolic blood pressure (mean ß = 0.0043 [0.0008 SE], 95% confidence interval, [0.00427, 0.0043]; threshold‐free cluster enhancement, family‐wise error‐corrected p < 0.05). Conversely, higher systolic blood pressure was associated with WMH in periventricular white matter regions. Mediation analyses indicated that both higher WHR and higher BMI contributed to increased deep‐to‐periventricular WMH ratio through elevated IL6.
Interpretation
Our results indicate an increased WMH burden selectively in the deep white matter in obese subjects with high visceral fat accumulation, independent of common obesity comorbidities such as hypertension. Mediation analyses proposed that visceral obesity contributes to deep white matter lesions through increases in proinflammatory cytokines, suggesting a pathomechanistic link. Longitudinal studies need to confirm this hypothesis. ANN NEUROL 2019;85:194–203.</description><identifier>ISSN: 0364-5134</identifier><identifier>EISSN: 1531-8249</identifier><identifier>DOI: 10.1002/ana.25396</identifier><identifier>PMID: 30556596</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Adult ; Age factors ; Aged ; Aged, 80 and over ; Blood pressure ; Body mass ; Body Mass Index ; Body size ; Brain ; Cognitive ability ; Cohort Studies ; Confidence intervals ; Correlation analysis ; Cytokines ; Dementia disorders ; Diabetes mellitus ; Error correction ; Female ; Hip ; Humans ; Hypertension ; Inflammation ; Inflammation - blood ; Inflammation - diagnostic imaging ; Inflammation Mediators - blood ; Interleukin 6 ; Lesions ; Longitudinal studies ; Magnetic resonance imaging ; Male ; Mediation ; Middle Aged ; Neuroimaging ; Obesity ; Obesity, Abdominal - blood ; Obesity, Abdominal - diagnostic imaging ; Proteins ; Regional analysis ; Regression analysis ; Risk analysis ; Risk factors ; Smoking ; Statistical analysis ; Substantia alba ; Waist-Hip Ratio ; White Matter - diagnostic imaging ; Young Adult</subject><ispartof>Annals of neurology, 2019-02, Vol.85 (2), p.194-203</ispartof><rights>2018 The Authors. published by Wiley Periodicals, Inc. on behalf of American Neurological Association.</rights><rights>2018 The Authors. Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association.</rights><rights>2019 American Neurological Association</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4436-e8b9d4d22164733634606f7ffb69d87cca47f880c9459fbecfc38d1f3b76805c3</citedby><cites>FETCH-LOGICAL-c4436-e8b9d4d22164733634606f7ffb69d87cca47f880c9459fbecfc38d1f3b76805c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30556596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lampe, Leonie</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Beyer, Frauke</creatorcontrib><creatorcontrib>Huhn, Sebastian</creatorcontrib><creatorcontrib>Kharabian Masouleh, Shahrzad</creatorcontrib><creatorcontrib>Preusser, Sven</creatorcontrib><creatorcontrib>Bazin, Pierre‐Louis</creatorcontrib><creatorcontrib>Schroeter, Matthias L.</creatorcontrib><creatorcontrib>Villringer, Arno</creatorcontrib><creatorcontrib>Witte, A. Veronica</creatorcontrib><title>Visceral obesity relates to deep white matter hyperintensities via inflammation</title><title>Annals of neurology</title><addtitle>Ann Neurol</addtitle><description>Objective
White matter hyperintensities (WMHs) are linked to vascular risk factors and increase the risk of cognitive decline, dementia, and stroke. We here aimed to determine whether obesity contributes to regional WMHs using a whole‐brain approach in a well‐characterized population‐based cohort.
Methods
Waist‐to‐hip ratio (WHR), body mass index (BMI), systolic/diastolic blood pressure, hypertension, diabetes and smoking status, blood glucose and inflammatory markers, as well as distribution of WMH were assessed in 1,825 participants of the LIFE‐adult study (age, 20–82 years; BMI, 18.4–55.4 kg/m2) using high‐resolution 3‐Tesla magnetic resonance imaging. Voxel‐wise analyses tested if obesity predicts regional probability of WMH. Additionally, mediation effects of high‐sensitive C‐reactive protein and interleukin‐6 (IL6) measured in blood were related to obesity and WMH using linear regression and structural equation models.
Results
WHR related to higher WMH probability predominantly in the deep white matter, even after adjusting for effects of age, sex, and systolic blood pressure (mean ß = 0.0043 [0.0008 SE], 95% confidence interval, [0.00427, 0.0043]; threshold‐free cluster enhancement, family‐wise error‐corrected p < 0.05). Conversely, higher systolic blood pressure was associated with WMH in periventricular white matter regions. Mediation analyses indicated that both higher WHR and higher BMI contributed to increased deep‐to‐periventricular WMH ratio through elevated IL6.
Interpretation
Our results indicate an increased WMH burden selectively in the deep white matter in obese subjects with high visceral fat accumulation, independent of common obesity comorbidities such as hypertension. Mediation analyses proposed that visceral obesity contributes to deep white matter lesions through increases in proinflammatory cytokines, suggesting a pathomechanistic link. Longitudinal studies need to confirm this hypothesis. ANN NEUROL 2019;85:194–203.</description><subject>Adult</subject><subject>Age factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Brain</subject><subject>Cognitive ability</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Correlation analysis</subject><subject>Cytokines</subject><subject>Dementia disorders</subject><subject>Diabetes mellitus</subject><subject>Error correction</subject><subject>Female</subject><subject>Hip</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Inflammation - blood</subject><subject>Inflammation - diagnostic imaging</subject><subject>Inflammation Mediators - blood</subject><subject>Interleukin 6</subject><subject>Lesions</subject><subject>Longitudinal studies</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Mediation</subject><subject>Middle Aged</subject><subject>Neuroimaging</subject><subject>Obesity</subject><subject>Obesity, Abdominal - blood</subject><subject>Obesity, Abdominal - diagnostic imaging</subject><subject>Proteins</subject><subject>Regional analysis</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Substantia alba</subject><subject>Waist-Hip Ratio</subject><subject>White Matter - diagnostic imaging</subject><subject>Young Adult</subject><issn>0364-5134</issn><issn>1531-8249</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp10U9rFDEYBvAgil2rB7-ADHiph2nzf5KLsBS1QrEX9RoymTduykyyJtmW_fZN3VpU8JTD--PhffMg9JrgU4IxPbPRnlLBtHyCVkQw0ivK9VO0wkzyXhDGj9CLUq4xxloS_BwdMSyEFFqu0NX3UBxkO3dphBLqvssw2wqlq6mbALbd7SZU6BZbK-Rus99CDrFCbDY0dRNsF6Kf7dJESPEleubtXODVw3uMvn388PX8or-8-vT5fH3ZO86Z7EGNeuITpUTygTHJuMTSD96PUk9qcM7ywSuFneZC-xGcd0xNxLNxkAoLx47R-0PudjcuMDmItR1htjksNu9NssH8PYlhY36kG9POxlyJFnDyEJDTzx2Uapb7n5hnGyHtiqFEDHLQWuhG3_5Dr9Mux3ZeUwOlijKimnp3UC6nUjL4x2UINvc1mVaT-VVTs2_-3P5R_u6lgbMDuA0z7P-fZNZf1ofIOwuOnYg</recordid><startdate>201902</startdate><enddate>201902</enddate><creator>Lampe, Leonie</creator><creator>Zhang, Rui</creator><creator>Beyer, Frauke</creator><creator>Huhn, Sebastian</creator><creator>Kharabian Masouleh, Shahrzad</creator><creator>Preusser, Sven</creator><creator>Bazin, Pierre‐Louis</creator><creator>Schroeter, Matthias L.</creator><creator>Villringer, Arno</creator><creator>Witte, A. Veronica</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</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>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201902</creationdate><title>Visceral obesity relates to deep white matter hyperintensities via inflammation</title><author>Lampe, Leonie ; Zhang, Rui ; Beyer, Frauke ; Huhn, Sebastian ; Kharabian Masouleh, Shahrzad ; Preusser, Sven ; Bazin, Pierre‐Louis ; Schroeter, Matthias L. ; Villringer, Arno ; Witte, A. Veronica</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4436-e8b9d4d22164733634606f7ffb69d87cca47f880c9459fbecfc38d1f3b76805c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Age factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Blood pressure</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Brain</topic><topic>Cognitive ability</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Correlation analysis</topic><topic>Cytokines</topic><topic>Dementia disorders</topic><topic>Diabetes mellitus</topic><topic>Error correction</topic><topic>Female</topic><topic>Hip</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inflammation</topic><topic>Inflammation - blood</topic><topic>Inflammation - diagnostic imaging</topic><topic>Inflammation Mediators - blood</topic><topic>Interleukin 6</topic><topic>Lesions</topic><topic>Longitudinal studies</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Mediation</topic><topic>Middle Aged</topic><topic>Neuroimaging</topic><topic>Obesity</topic><topic>Obesity, Abdominal - blood</topic><topic>Obesity, Abdominal - diagnostic imaging</topic><topic>Proteins</topic><topic>Regional analysis</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Smoking</topic><topic>Statistical analysis</topic><topic>Substantia alba</topic><topic>Waist-Hip Ratio</topic><topic>White Matter - diagnostic imaging</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lampe, Leonie</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Beyer, Frauke</creatorcontrib><creatorcontrib>Huhn, Sebastian</creatorcontrib><creatorcontrib>Kharabian Masouleh, Shahrzad</creatorcontrib><creatorcontrib>Preusser, Sven</creatorcontrib><creatorcontrib>Bazin, Pierre‐Louis</creatorcontrib><creatorcontrib>Schroeter, Matthias L.</creatorcontrib><creatorcontrib>Villringer, Arno</creatorcontrib><creatorcontrib>Witte, A. Veronica</creatorcontrib><collection>Wiley_OA刊</collection><collection>Wiley-Blackwell Open Access Backfiles (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lampe, Leonie</au><au>Zhang, Rui</au><au>Beyer, Frauke</au><au>Huhn, Sebastian</au><au>Kharabian Masouleh, Shahrzad</au><au>Preusser, Sven</au><au>Bazin, Pierre‐Louis</au><au>Schroeter, Matthias L.</au><au>Villringer, Arno</au><au>Witte, A. Veronica</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visceral obesity relates to deep white matter hyperintensities via inflammation</atitle><jtitle>Annals of neurology</jtitle><addtitle>Ann Neurol</addtitle><date>2019-02</date><risdate>2019</risdate><volume>85</volume><issue>2</issue><spage>194</spage><epage>203</epage><pages>194-203</pages><issn>0364-5134</issn><eissn>1531-8249</eissn><abstract>Objective
White matter hyperintensities (WMHs) are linked to vascular risk factors and increase the risk of cognitive decline, dementia, and stroke. We here aimed to determine whether obesity contributes to regional WMHs using a whole‐brain approach in a well‐characterized population‐based cohort.
Methods
Waist‐to‐hip ratio (WHR), body mass index (BMI), systolic/diastolic blood pressure, hypertension, diabetes and smoking status, blood glucose and inflammatory markers, as well as distribution of WMH were assessed in 1,825 participants of the LIFE‐adult study (age, 20–82 years; BMI, 18.4–55.4 kg/m2) using high‐resolution 3‐Tesla magnetic resonance imaging. Voxel‐wise analyses tested if obesity predicts regional probability of WMH. Additionally, mediation effects of high‐sensitive C‐reactive protein and interleukin‐6 (IL6) measured in blood were related to obesity and WMH using linear regression and structural equation models.
Results
WHR related to higher WMH probability predominantly in the deep white matter, even after adjusting for effects of age, sex, and systolic blood pressure (mean ß = 0.0043 [0.0008 SE], 95% confidence interval, [0.00427, 0.0043]; threshold‐free cluster enhancement, family‐wise error‐corrected p < 0.05). Conversely, higher systolic blood pressure was associated with WMH in periventricular white matter regions. Mediation analyses indicated that both higher WHR and higher BMI contributed to increased deep‐to‐periventricular WMH ratio through elevated IL6.
Interpretation
Our results indicate an increased WMH burden selectively in the deep white matter in obese subjects with high visceral fat accumulation, independent of common obesity comorbidities such as hypertension. Mediation analyses proposed that visceral obesity contributes to deep white matter lesions through increases in proinflammatory cytokines, suggesting a pathomechanistic link. Longitudinal studies need to confirm this hypothesis. ANN NEUROL 2019;85:194–203.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>30556596</pmid><doi>10.1002/ana.25396</doi><tpages>203</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age factors Aged Aged, 80 and over Blood pressure Body mass Body Mass Index Body size Brain Cognitive ability Cohort Studies Confidence intervals Correlation analysis Cytokines Dementia disorders Diabetes mellitus Error correction Female Hip Humans Hypertension Inflammation Inflammation - blood Inflammation - diagnostic imaging Inflammation Mediators - blood Interleukin 6 Lesions Longitudinal studies Magnetic resonance imaging Male Mediation Middle Aged Neuroimaging Obesity Obesity, Abdominal - blood Obesity, Abdominal - diagnostic imaging Proteins Regional analysis Regression analysis Risk analysis Risk factors Smoking Statistical analysis Substantia alba Waist-Hip Ratio White Matter - diagnostic imaging Young Adult |
title | Visceral obesity relates to deep white matter hyperintensities via inflammation |
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