Associations Between the Dietary Inflammatory Index and MRI Measures of Brain Volume, Markers of Cerebral Small Vessel Disease and PET Imaging Biomarkers of Alzheimer's Disease (beta amyloid and tau)

饮食炎症指数与脑容量 MRI 测量、脑小血管疾病标志物和阿尔茨海默病 PET 成像生物标志物（β 淀粉样蛋白和 tau 蛋白）之间的关联

• 批准号: 10176351
• 负责人: Debora Melo van Lent
• 金额: $ 7.73万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10176351
• 关键词: African; Age; Aging; Alzheimer' s Disease; Alzheimer’s disease biomarker; Amyloid beta-Protein; Amyloid deposition; Anti-Inflammatory Agents; Asians; Biological Markers; Blood; Blood Vessels; Body mass index; Brain; Brain Diseases; Brain Infarction; Brain Injuries; Brain imaging; C-reactive protein; Cardiovascular Diseases; Cerebral small vessel disease; Chronic; Chronic Disease; Cognitive; Data; Dementia; Diabetes Mellitus; Diet; Dietary Assessment; Dietary Intervention; Dietary Practices; Dietary intake; Diffuse; Disease; Education; Energy Intake; Ethnic Origin; Etiology; Fibrinogen; Food; Framingham Heart Study; Frequencies; Functional disorder; Future; Health; High Density Lipoprotein Cholesterol; Hippocampus (Brain); Hispanics; Impaired cognition; Inflammation; Inflammatory; Intercellular Adhesion Molecules; Interleukin-1 beta; Interleukin-18; Interleukin-6; Intervention Trial; Investigation; Isoprostanes; Lateral; Linear Regressions; Logistic Regressions; Magnetic Resonance Imaging; Measures; Mediating; Mediation; Modeling; Native American Ancestry; Nerve Degeneration; Not Hispanic or Latino; Outcome; Participant; Pathology; Pathway interactions; Persons; Pharmaceutical Preparations; Physical activity; Plasma; Play; Positron-Emission Tomography; Prevention; Preventive; Process; Questionnaires; RBP4 gene; Recording of previous events; Regulation; Research; Research Priority; Role; Sampling; Skeleton; Smoking; Structure; TNF gene; Testing; Time; United States National Institutes of Health; Ventricular; White Matter Hyperintensity; Width; adiponectin; aging brain; apolipoprotein E-4; brain volume; cerebral microbleeds; cohort; cytokine; design; dietary; effective therapy; entorhinal cortex; ethnic minority population; gray matter; imaging biomarker; improved; indexing; inferotemporal cortex; inflammatory marker; novel; nutrition; offspring; resistin; sex; tau Proteins; tool

In the context of a lack of effective treatment for dementia currently, the way forward is the rigorous investigation of modifiable preventive factors such as diet that impact brain aging. Diet plays a pivotal role in the regulation of chronic inflammation, one of the causal pathways leading to dementia. The Dietary Inflammatory index (DII) is a universally applicable tool on diets across the world and is designed to investigate the inflammatory potential of diet on multiple health outcomes ranging from blood concentrations of inflammatory cytokines to chronic diseases. This is the first study to investigate the DII in relation to brain volume measures, markers of cerebral small vessel disease, and biomarkers of AD. We aim to investigate (1a) the longitudinal relationships between the Dietary Inflammatory Index (DII) and structural magnetic resonance imaging (MRI) markers of brain aging (i.e. total brain volume, hippocampal volume, lateral ventricular volume, and total grey matter volume) among participants (n=2,500) in the Offspring cohort and the Omni 1 cohort of the Framingham Heart Study (FHS); (1b) the longitudinal and cross-sectional relationships between the DII and markers of cerebral small vessel disease (i.e. white matter hyperintensities, silent brain infarcts, cerebral microbleeds (CMB) and peak width of skeletonized mean diffusivity (PSMD) in this cohort; (1c) mediation effect by plasma inflammatory markers if significant associations are found in aim 1a and aim 1b. Secondly, we will investigate (2) the cross-sectional relationships between the DII and positron-emission tomography (PET)-imaging biomarkers of Alzheimer’s disease dementia (AD), including beta-amyloid PET (specifically, fronto-lateral-retrosplenial) and Tau PET (specifically, entorhinal cortex and inferotemporal cortex) among participants in the Offspring Cohort of the FHS (n=60). Sample for aim 1 will include FHS Offspring (who attended exam 7 and either exam 5 or 6) and Omni 1 (who attended exam 1 and 2) participants who filled out the Food Frequency Questionnaire (FFQ) for the creation of an averaged DII, who underwent brain MRI (Offspring: exams 7,8 and 9; Omni 1: exams 2 and 3) and have data on covariates. Sample for aim 2 will include FHS Offspring participants (who attended exam 7 and at least exam 5 or 6) who filled out the FFQ, underwent beta-amyloid and Tau PET scans at exam 9, and have data on covariates. We will relate the DII to changes of structural MRI markers of brain aging as well as markers of cerebral small vessel disease using multivariable linear regression and logistic regression models. When significant associations are found, we will perform mediation analyses to investigate the role of plasma inflammatory markers. In addition, we will relate the DII to PET-imaging biomarkers of AD using multivariable linear regression models. We will adjust for age at MRI/PET Exam, age squared at MRI/PET Exam, sex, education, Apolipoprotein e4, ethnicity, body mass index, smoking, physical activity (MRI only), total energy intake, time from Exam to Exam MRI/PET, anti-inflammatory medication, diabetes status, history of cardiovascular disease and total to HDL cholesterol ratio.

在目前缺乏有效治疗痴呆症的背景下，前进的道路是严格的调查 可改变的预防因素，如影响大脑衰老的饮食。饮食在调节 慢性炎症，导致痴呆症的原因之一。饮食炎症指数（DII）是一种 这是一种普遍适用于世界各地饮食的工具，旨在研究 饮食对多种健康结果的影响，从炎症细胞因子的血液浓度到慢性 疾病这是第一个研究DII与脑容量测量，脑功能标志物 小血管疾病和AD的生物标志物。 我们的目的是调查（1a）膳食炎症指数（DII）和 脑老化的结构磁共振成像（MRI）标记物（即总脑体积、海马 体积、侧脑室体积和总灰质体积）。 FHS队列和Omni 1队列;（1b）纵向和横截面 DII和脑小血管疾病的标记物（即白色物质高信号， 无症状脑梗死，脑微出血（CMB）和峰值宽度的平均弥散度（PSMD）在这个 队列;（1c）如果在目标1a中发现显著关联，则血浆炎症标志物的介导作用，以及 目标1b.其次，我们将研究（2）DII和正电子发射之间的横截面关系 断层扫描（PET）-阿尔茨海默病痴呆（AD）的成像生物标志物，包括β-淀粉样蛋白PET （特别是，额-外侧-压后）和Tau PET（特别是，内嗅皮质和颞下皮质） FHS后代队列的参与者（n=60）。目标1的样本将包括FHS后代（ 参加考试7和考试5或6）和Omni 1（参加考试1和2）的参与者， 食物频率问卷（FFQ），用于创建平均DII，接受脑部MRI检查 （后代：检查7、8和9; Omni 1：检查2和3）并具有协变量数据。目标2的样本将包括 填写FFQ的FHS后代参与者（参加考试7和至少考试5或6）， 检查9时的β-淀粉样蛋白和Tau PET扫描，并具有协变量数据。我们将把DII与 脑老化的结构MRI标记物以及使用多变量的脑小血管疾病标记物 线性回归和逻辑回归模型。当发现重要关联时，我们将执行 介导分析以研究血浆炎症标志物的作用。此外，我们将把DII与 使用多变量线性回归模型的AD PET成像生物标志物。我们将在MRI/PET中调整年龄 检查、MRI/PET检查时年龄平方、性别、教育、载脂蛋白e4、种族、体重指数、吸烟， 体力活动（仅MRI）、总能量摄入、从检查到MRI/PET检查的时间、抗炎药物， 糖尿病状态、心血管疾病史和总胆固醇与HDL胆固醇比率。

项目成果

Empirical Dietary Inflammatory Pattern Scores Are Not Associated with Worse Cognitive Performance in the Nurses' Health Study.

在护士健康研究中，经验饮食炎症模式评分与较差的认知表现无关。

• DOI: 10.1093/jn/nxac157
• 发表时间: 2022
• 期刊: The Journal of nutrition
• 作者: MelovanLent,Debora;Samieri,Cécilia;Grodstein,Francine;Seshadri,Sudha
• 通讯作者: Seshadri,Sudha

Higher Dietary Inflammatory Index scores are associated with brain MRI markers of brain aging: Results from the Framingham Heart Study Offspring cohort.

较高的饮食炎症指数分数与大脑衰老的大脑 MRI 标记相关：来自弗雷明汉心脏研究后代队列的结果。

• DOI: 10.1002/alz.12685
• 发表时间: 2023
• 期刊: Alzheimer's & dementia : the journal of the Alzheimer's Association
• 作者: MeloVanLent,Debora;Gokingco,Hannah;Short,MeghanI;Yuan,Changzheng;Jacques,PaulF;Romero,JoséR;DeCarli,CharlesS;Beiser,AlexaS;Seshadri,Sudha;Himali,JayandraJ;Jacob,MiniE
• 通讯作者: Jacob,MiniE