Visceral Abdominal Adipose Tissue and Insulin Resistance Respectively Influence Alzheimer Disease Amyloid Pathology and Neurodegeneration in Midlife

胰岛素抵抗 脂肪组织 医学 稳态模型评估 匹兹堡化合物B 内科学 内分泌学 人口 病理 胰岛素 阿尔茨海默病 疾病 环境卫生
作者
Mahsa Dolatshahi,Paul K. Commean,Christine T. O. Nguyen,Joseph E. Ippolito,Tammie L.S. Benzinger,Cyrus A. Raji
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:19 (S17)
标识
DOI:10.1002/alz.075841
摘要

Abstract Background Obesity and adiposity at midlife, evidenced by high body mass index (BMI), are increasingly understood as a risk factor for Alzheimer’s disease (AD). Importantly, visceral fat is known to be associated with insulin resistance and proinflammatory state, the mechanisms involved in AD pathology. Herein, we aimed to assess the association between brain MRI volumes as well as amyloid and tau uptake with obesity, insulin resistance, and abdominal adipose tissue in cognitively normal midlife population. Method A total of 34 middle‐aged (age: 51.27 ± 6.12 years, BMI: 32.28 ± 6.39 kg/m2), cognitively normal participants, underwent bloodwork, brain and abdominal MRI, as well as amyloid and tau PET scan. Homeostatic Model Assessment for Insulin Resistance (HOMAIR) > 1.9 was used as a measure of insulin resistance. Visceral and subcutaneous adipose tissue (VAT, SAT) were semi‐automatically segmented using VOXel Analysis Suite (Voxa). FreeSurfer 7.1.1 was used for automatic segmentation of cortical and subcortical brain regions using a probabilistic atlas. Dynamic amyloid imaging was performed with a bolus injection of ∼15 mCi of [11C]PiB, followed by a 60‐min scan. A single intravenous bolus of between 7.2‐10.8 mCi of AV‐1451 was administered. Data from the 30‐60 minute, and 80‐100 minute post‐injection window for PiB and AV‐1451 were used for the analysis, respectively. The association of brain volumes and PiB and AV‐1451 SUVRs within the default mode network areas with BMI and VAT/SAT ratio were assessed using linear regression models. Result We observed lower right entorhinal white matter volumes in obese participants with insulin resistance compared to metabolically normal non‐obese group (p = 0.004), without any significant difference in PiB or AV‐1451 SUVRs. Regression models with sex, age and education as covariates showed a significant positive association between VAT/SAT ratio and left precuneus white matter PiB SUVRs (R2 = 0.31, p = 0.005), but no significant associations with AV‐1451 SUVRs. Conclusion In our midlife obese sample with insulin resistance, there were lower right entorhinal white matter volume, which is involved in relaying information to the hippocampus. We also demonstrate higher early amyloid pathology in AD‐signature areas such as the precuneus in mid‐life persons with high VAT/SAT ratio, a marker of visceral obesity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
彭于晏应助完美如曼采纳,获得10
刚刚
俏皮可仁发布了新的文献求助10
刚刚
fengzi151发布了新的文献求助20
1秒前
177发布了新的文献求助20
1秒前
2秒前
地球发布了新的文献求助10
2秒前
zzz发布了新的文献求助10
2秒前
2秒前
ROSEANNE发布了新的文献求助10
3秒前
科研通AI6.2应助lolitam采纳,获得10
3秒前
抱抱你发布了新的文献求助10
3秒前
ming发布了新的文献求助10
3秒前
玩命的大树完成签到,获得积分10
4秒前
淡然的稀完成签到,获得积分10
5秒前
充电宝应助碧蓝的含羞草采纳,获得10
6秒前
qyang发布了新的文献求助10
6秒前
6秒前
7秒前
guojingjing发布了新的文献求助10
7秒前
明明发布了新的文献求助30
7秒前
Jasper应助Yanz采纳,获得30
7秒前
汀雨落发布了新的文献求助10
7秒前
火星上夏岚完成签到 ,获得积分10
7秒前
8秒前
Wenky发布了新的文献求助10
8秒前
飞扬完成签到,获得积分10
8秒前
9秒前
9秒前
tingi完成签到,获得积分10
9秒前
czx发布了新的文献求助10
9秒前
李健的粉丝团团长应助1r1r采纳,获得10
10秒前
科研通AI6.2应助李振聪采纳,获得30
10秒前
JamesPei应助李振聪采纳,获得10
10秒前
科研通AI6.3应助李振聪采纳,获得10
10秒前
Akim应助李振聪采纳,获得10
10秒前
WuFen完成签到,获得积分10
10秒前
科研通AI6.2应助李振聪采纳,获得10
10秒前
科研通AI6.3应助李振聪采纳,获得10
10秒前
ma3501134992应助李振聪采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443096
求助须知:如何正确求助?哪些是违规求助? 8257012
关于积分的说明 17584811
捐赠科研通 5501648
什么是DOI,文献DOI怎么找? 2900795
邀请新用户注册赠送积分活动 1877795
关于科研通互助平台的介绍 1717445