Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals
Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression a...
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| Veröffentlicht in: | Aging and disease 2024-08, Vol.15 (4), p.1831-1842 |
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| creator | Raji, Cyrus A Meysami, Somayeh Hashemi, Sam Garg, Saurabh Akbari, Nasrin Gouda, Ahmed Chodakiewitz, Yosef Gavriel Nguyen, Thanh Duc Niotis, Kellyann Merrill, David A Attariwala, Rajpaul |
| description | Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression analyses of abdominal fat types and normalized brain volumes were evaluated, controlling for age and sex. Logistic regression models determined the risk of brain total gray and white matter volume loss from the highest quartile of visceral fat and lowest quartile of these brain volumes. This cohort had an average age of 52.9 ± 13.1 years with 52.8% men and 47.2% women. Segmented visceral abdominal fat predicted lower volumes in multiple regions including: total gray matter volume (r = -.44, p |
| doi_str_mv | 10.14336/AD.2023.0820 |
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A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression analyses of abdominal fat types and normalized brain volumes were evaluated, controlling for age and sex. Logistic regression models determined the risk of brain total gray and white matter volume loss from the highest quartile of visceral fat and lowest quartile of these brain volumes. This cohort had an average age of 52.9 ± 13.1 years with 52.8% men and 47.2% women. Segmented visceral abdominal fat predicted lower volumes in multiple regions including: total gray matter volume (r = -.44, p<.001), total white matter volume (r =-.41, p<.001), hippocampus (r = -.39, p< .001), frontal cortex (r = -.42, p<.001), temporal lobes (r = -.44, p<.001), parietal lobes (r = -.39, p<.001), occipital lobes (r =-.37, p<.001). Women showed lower brain volumes than men related to increased visceral fat. Visceral fat predicted increased risk for lower total gray matter (age 20-39: OR = 5.9; age 40-59, OR = 5.4; 60-80, OR = 5.1) and low white matter volume: (age 20-39: OR = 3.78; age 40-59, OR = 4.4; 60-80, OR = 5.1). Higher subcutaneous fat is related to brain volume loss. Elevated visceral and subcutaneous fat predicted lower brain volumes and may represent novel modifiable factors in determining brain health.]]></description><identifier>ISSN: 2152-5250</identifier><identifier>EISSN: 2152-5250</identifier><identifier>DOI: 10.14336/AD.2023.0820</identifier><identifier>PMID: 37728587</identifier><language>eng</language><publisher>United States: JKL International</publisher><subject>Adipose tissues ; Adult ; Aged ; Alzheimer's disease ; Brain ; Brain - anatomy & histology ; Brain - diagnostic imaging ; Brain - pathology ; Complications and side effects ; Female ; Gray Matter - anatomy & histology ; Gray Matter - diagnostic imaging ; Health aspects ; Humans ; Intra-Abdominal Fat - anatomy & histology ; Intra-Abdominal Fat - diagnostic imaging ; Magnetic Resonance Imaging ; Male ; Measurement ; Middle age ; Middle Aged ; Obesity ; Organ Size ; Original ; Risk factors ; Size ; Subcutaneous Fat, Abdominal - diagnostic imaging ; Type 2 diabetes ; White Matter - anatomy & histology ; White Matter - diagnostic imaging</subject><ispartof>Aging and disease, 2024-08, Vol.15 (4), p.1831-1842</ispartof><rights>COPYRIGHT 2024 JKL International</rights><rights>Copyright: © 2024 Raji et al. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-d2f2a494ec544a60f411c0ab6f8ebae0c197c7d50143fbb347b7631b628ab56d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11272198/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11272198/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37728587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Raji, Cyrus A</creatorcontrib><creatorcontrib>Meysami, Somayeh</creatorcontrib><creatorcontrib>Hashemi, Sam</creatorcontrib><creatorcontrib>Garg, Saurabh</creatorcontrib><creatorcontrib>Akbari, Nasrin</creatorcontrib><creatorcontrib>Gouda, Ahmed</creatorcontrib><creatorcontrib>Chodakiewitz, Yosef Gavriel</creatorcontrib><creatorcontrib>Nguyen, Thanh Duc</creatorcontrib><creatorcontrib>Niotis, Kellyann</creatorcontrib><creatorcontrib>Merrill, David A</creatorcontrib><creatorcontrib>Attariwala, Rajpaul</creatorcontrib><title>Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals</title><title>Aging and disease</title><addtitle>Aging Dis</addtitle><description><![CDATA[Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression analyses of abdominal fat types and normalized brain volumes were evaluated, controlling for age and sex. Logistic regression models determined the risk of brain total gray and white matter volume loss from the highest quartile of visceral fat and lowest quartile of these brain volumes. This cohort had an average age of 52.9 ± 13.1 years with 52.8% men and 47.2% women. Segmented visceral abdominal fat predicted lower volumes in multiple regions including: total gray matter volume (r = -.44, p<.001), total white matter volume (r =-.41, p<.001), hippocampus (r = -.39, p< .001), frontal cortex (r = -.42, p<.001), temporal lobes (r = -.44, p<.001), parietal lobes (r = -.39, p<.001), occipital lobes (r =-.37, p<.001). Women showed lower brain volumes than men related to increased visceral fat. Visceral fat predicted increased risk for lower total gray matter (age 20-39: OR = 5.9; age 40-59, OR = 5.4; 60-80, OR = 5.1) and low white matter volume: (age 20-39: OR = 3.78; age 40-59, OR = 4.4; 60-80, OR = 5.1). Higher subcutaneous fat is related to brain volume loss. Elevated visceral and subcutaneous fat predicted lower brain volumes and may represent novel modifiable factors in determining brain health.]]></description><subject>Adipose tissues</subject><subject>Adult</subject><subject>Aged</subject><subject>Alzheimer's disease</subject><subject>Brain</subject><subject>Brain - anatomy & histology</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Complications and side effects</subject><subject>Female</subject><subject>Gray Matter - anatomy & histology</subject><subject>Gray Matter - diagnostic imaging</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Intra-Abdominal Fat - anatomy & histology</subject><subject>Intra-Abdominal Fat - diagnostic imaging</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Measurement</subject><subject>Middle age</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Organ Size</subject><subject>Original</subject><subject>Risk factors</subject><subject>Size</subject><subject>Subcutaneous Fat, Abdominal - diagnostic imaging</subject><subject>Type 2 diabetes</subject><subject>White Matter - anatomy & histology</subject><subject>White Matter - diagnostic imaging</subject><issn>2152-5250</issn><issn>2152-5250</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptUl1rFDEUDaLYsvbRVwkI4oOz5muSzJOMrdXCioLa15DPbmQmqZOZgv_erFvLLpg83JBz7iH35ADwHKM1ZpTyt_3FmiBC10gS9AicEtySpiUtenxwPgFnpfxEddGO0I4-BSdUCCJbKU6BuY7F-kkPUCcHvy3GLrNOPi8F9sblMaYKXeoZfp28i3aG7ycdE7zOwzJ6uMmlwAp-jm6IwcOKYPQGIQyvkot30S16KM_Ak1CLP7uvK_Dj8sP380_N5svHq_N-01iG-dw4EohmHfO2ZUxzFBjGFmnDg_RGe2RxJ6xwLaqTB2MoE0Zwig0nUpuWO7oC7_a6t4sZvbM-zXUudTvFUU-_VdZRHSMpbtVNvlMYE0FwJ6vC63uFKf9afJnVuHNnGPaOKCI5F63EAlfqyz31Rg9exRRylbQ7uuolYgIRVt-5Auv_sOp2fow2Jx9ivT9qeHXQsPV6mLelej3HnMoxsdkT7VT_YPLhYU6M1N9sqP5C7bKhdtmo_BeH5jyw_yWB_gGcrrEb</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Raji, Cyrus A</creator><creator>Meysami, Somayeh</creator><creator>Hashemi, Sam</creator><creator>Garg, Saurabh</creator><creator>Akbari, Nasrin</creator><creator>Gouda, Ahmed</creator><creator>Chodakiewitz, Yosef Gavriel</creator><creator>Nguyen, Thanh Duc</creator><creator>Niotis, Kellyann</creator><creator>Merrill, David A</creator><creator>Attariwala, Rajpaul</creator><general>JKL International</general><general>JKL International LLC</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240801</creationdate><title>Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals</title><author>Raji, Cyrus A ; Meysami, Somayeh ; Hashemi, Sam ; Garg, Saurabh ; Akbari, Nasrin ; Gouda, Ahmed ; Chodakiewitz, Yosef Gavriel ; Nguyen, Thanh Duc ; Niotis, Kellyann ; Merrill, David A ; Attariwala, Rajpaul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-d2f2a494ec544a60f411c0ab6f8ebae0c197c7d50143fbb347b7631b628ab56d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adipose tissues</topic><topic>Adult</topic><topic>Aged</topic><topic>Alzheimer's disease</topic><topic>Brain</topic><topic>Brain - anatomy & histology</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Complications and side effects</topic><topic>Female</topic><topic>Gray Matter - anatomy & histology</topic><topic>Gray Matter - diagnostic imaging</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Intra-Abdominal Fat - anatomy & histology</topic><topic>Intra-Abdominal Fat - diagnostic imaging</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Measurement</topic><topic>Middle age</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Organ Size</topic><topic>Original</topic><topic>Risk factors</topic><topic>Size</topic><topic>Subcutaneous Fat, Abdominal - diagnostic imaging</topic><topic>Type 2 diabetes</topic><topic>White Matter - anatomy & histology</topic><topic>White Matter - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Raji, Cyrus A</creatorcontrib><creatorcontrib>Meysami, Somayeh</creatorcontrib><creatorcontrib>Hashemi, Sam</creatorcontrib><creatorcontrib>Garg, Saurabh</creatorcontrib><creatorcontrib>Akbari, Nasrin</creatorcontrib><creatorcontrib>Gouda, Ahmed</creatorcontrib><creatorcontrib>Chodakiewitz, Yosef Gavriel</creatorcontrib><creatorcontrib>Nguyen, Thanh Duc</creatorcontrib><creatorcontrib>Niotis, Kellyann</creatorcontrib><creatorcontrib>Merrill, David A</creatorcontrib><creatorcontrib>Attariwala, Rajpaul</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Aging and disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Raji, Cyrus A</au><au>Meysami, Somayeh</au><au>Hashemi, Sam</au><au>Garg, Saurabh</au><au>Akbari, Nasrin</au><au>Gouda, Ahmed</au><au>Chodakiewitz, Yosef Gavriel</au><au>Nguyen, Thanh Duc</au><au>Niotis, Kellyann</au><au>Merrill, David A</au><au>Attariwala, Rajpaul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals</atitle><jtitle>Aging and disease</jtitle><addtitle>Aging Dis</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>15</volume><issue>4</issue><spage>1831</spage><epage>1842</epage><pages>1831-1842</pages><issn>2152-5250</issn><eissn>2152-5250</eissn><abstract><![CDATA[Abdominal fat is increasingly linked to brain health. A total of 10,001 healthy participants were scanned on 1.5T MRI with a short whole-body MR imaging protocol. Deep learning with FastSurfer segmented 96 brain regions. Separate models segmented visceral and subcutaneous abdominal fat. Regression analyses of abdominal fat types and normalized brain volumes were evaluated, controlling for age and sex. Logistic regression models determined the risk of brain total gray and white matter volume loss from the highest quartile of visceral fat and lowest quartile of these brain volumes. This cohort had an average age of 52.9 ± 13.1 years with 52.8% men and 47.2% women. Segmented visceral abdominal fat predicted lower volumes in multiple regions including: total gray matter volume (r = -.44, p<.001), total white matter volume (r =-.41, p<.001), hippocampus (r = -.39, p< .001), frontal cortex (r = -.42, p<.001), temporal lobes (r = -.44, p<.001), parietal lobes (r = -.39, p<.001), occipital lobes (r =-.37, p<.001). Women showed lower brain volumes than men related to increased visceral fat. Visceral fat predicted increased risk for lower total gray matter (age 20-39: OR = 5.9; age 40-59, OR = 5.4; 60-80, OR = 5.1) and low white matter volume: (age 20-39: OR = 3.78; age 40-59, OR = 4.4; 60-80, OR = 5.1). Higher subcutaneous fat is related to brain volume loss. Elevated visceral and subcutaneous fat predicted lower brain volumes and may represent novel modifiable factors in determining brain health.]]></abstract><cop>United States</cop><pub>JKL International</pub><pmid>37728587</pmid><doi>10.14336/AD.2023.0820</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adipose tissues Adult Aged Alzheimer's disease Brain Brain - anatomy & histology Brain - diagnostic imaging Brain - pathology Complications and side effects Female Gray Matter - anatomy & histology Gray Matter - diagnostic imaging Health aspects Humans Intra-Abdominal Fat - anatomy & histology Intra-Abdominal Fat - diagnostic imaging Magnetic Resonance Imaging Male Measurement Middle age Middle Aged Obesity Organ Size Original Risk factors Size Subcutaneous Fat, Abdominal - diagnostic imaging Type 2 diabetes White Matter - anatomy & histology White Matter - diagnostic imaging |
| title | Visceral and Subcutaneous Abdominal Fat Predict Brain Volume Loss at Midlife in 10,001 Individuals |
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