Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study

新陈代谢对非洲裔和白种裔美国人健康老龄化的影响:Health ABC 研究

基本信息

项目摘要

Alzheimer-type (AD) and non-AD dementias and neurocognitive impairment have origins in dysregulated me- tabolism, leading to consideration of dementia as a “type 3 diabetes” phenotype. A wide array of basic labora- tory, model systems-based, and human investigations around identifying precise metabolic defects as the core of AD/non-AD dementias have emerged. A critical feature of studies attempting to identify a metabolic basis of neurocognitive dysfunction is the application of a broad assessment of metabolism to a well phenotyped hu- man cohort with dementia and related outcomes. As part of R01AG059729, Drs. Shah, Newman, Murthy and Clish have been performing metabolite profiling in a biracial subsample of the Healthy Aging and Body Com- position Study (Health ABC) to identify metabolic pathways relevant to healthy aging. While the parent study includes some neurocognitive measures, it only assays a subsample within Health ABC for lipid and lipid me- diators, the key metabolites felt to be relevant to AD and related dementias. Based on data suggesting the emerging importance of inflammation and lipid abnormalities in AD, the study team is requesting supplemental funds as part of this application to complete lipid and lipid intermediate metabolite profiling to facilitate (1) wider scientific discovery in AD and AD-related phenotypes and (2) integration with other metabolite modes already completed in Health ABC to provide a wider description of the metabolic abnormalities important in the life- course of neurocognitive dysfunction and AD. We hypothesize that lipid and lipid mediators will be associated with phenotypes and phenotypic groups central to AD and may facilitate discovery of potentially intervenable pathways at the heart of AD and AD-related neurocognitive dysfunction. To address this hypothesis, we will perform metabolite profiling in a wider sample size in Health ABC for lipid (C8 positive) and lipid mediators (C18 negative) to identify metabolites and encoded pathways associated with clinical and imaging-based de- mentia endpoints. In Aim 1, we will identify lipid and lipid mediator metabolite signatures associated with sub- sequent cognitive decline, preclinical AD phenotypes, and dementia. In Aim 2, we will identify association of lipid and lipid mediators with selected MRI markers of dementia previously reported. In Aim 3, we will test how metabolic pathways linked to dementia differ by race and sex and how these metabolite signatures are related to diet, fitness, activity, and adiposity, key modifiable lifestyle features linked to improved neurocognitive func- tion. This supplement is unique in that it has been conceived and constructed in full collaboration with the Na- tional Institutes of Aging (Dr. Luigi Ferrucci and Qu Tian), experts in aging and AD and substantially augments the sample size for metabolite profiling covered by the parent R01 grant, while leveraging its substantial re- sources. Completion would afford the scientific community a wider array of quantitative metabolic phenotyping to address AD and AD-related phenotypes, directly addressing NOT-AG-20-008 by integrating efforts in ongo- ing studies of aging to address neurocognitive endpoints relevant to AD.
阿尔茨海默型 (AD) 和非 AD 痴呆以及神经认知障碍起源于代谢失调。 代谢,导致将痴呆视为“3 型糖尿病”表型。广泛的基础实验 以识别精确代谢缺陷为核心的理论、基于模型系统和人体研究 的 AD/非 AD 痴呆症已经出现。试图确定代谢基础的研究的一个关键特征 神经认知功能障碍是对表型良好的代谢进行广泛评估的应用 患有痴呆症的男性队列和相关结果。作为 R01AG059729 的一部分,博士。沙阿、纽曼、穆尔蒂和 Clish 一直在健康老龄化和身体健康的混血子样本中进行代谢物分析。 定位研究(健康 ABC)以确定与健康老龄化相关的代谢途径。家长学习的同时 包括一些神经认知测量,它仅分析 Health ABC 中的子样本的脂质和脂质代谢- diators 中,关键代谢物被认为与 AD 和相关痴呆症相关。根据数据表明 由于炎症和脂质异常在 AD 中的重要性日益凸显,研究小组正在要求补充 作为本申请的一部分,资金用于完成脂质和脂质中间代谢物分析,以促进 (1) 更广泛的 AD 和 AD 相关表型的科学发现以及 (2) 与其他代谢模式的整合 在 Health ABC 中完成,以更广泛地描述生命中重要的代谢异常- 神经认知功能障碍和 AD 的病程。我们假设脂质和脂质介质相关 具有 AD 核心的表型和表型组,可能有助于发现潜在的干预措施 AD 和 AD 相关神经认知功能障碍的核心途径。为了解决这个假设,我们将 在 Health ABC 中以更广泛的样本量对脂质(C8 阳性)和脂质介质进行代谢物分析 (C18 阴性)识别与临床和基于成像的去相关的代谢物和编码途径 心理终点。在目标 1 中,我们将识别与亚组相关的脂质和脂质介质代谢特征。 随后的认知能力下降、临床前 AD 表型和痴呆。在目标 2 中,我们将确定关联 脂质和脂质介质与先前报道的痴呆症的选定 MRI 标记。在目标 3 中,我们将测试如何 与痴呆症相关的代谢途径因种族和性别而异,以及这些代谢特征如何相关 饮食、健身、活动和肥胖等关键可改变的生活方式特征与改善神经认知功能有关 。该补充品的独特之处在于它是与 Na- 充分合作构思和构建的。 国家老龄化研究所(Luigi Ferrucci 博士和 Qu Tian),老龄化和 AD 方面的专家,并大幅增强 母公司 R01 资助涵盖的代谢物分析的样本量,同时利用其大量的重新 来源。完成将为科学界提供更广泛的定量代谢表型分析 解决 AD 和 AD 相关表型,通过整合持续的努力来直接解决 NOT-AG-20-008 正在进行衰老研究,以解决与 AD 相关的神经认知终点问题。

项目成果

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Venkatesh Locharla Murthy其他文献

METABOLIC SIGNATURES OF CARDIAC DYSFUNCTION ARE ASSOCIATED WITH MULTIMORBIDITY AND POST-TRANSCATHETER AORTIC VALVE IMPLANTATION MORTALITY
  • DOI:
    10.1016/s0735-1097(23)04460-1
  • 发表时间:
    2023-03-07
  • 期刊:
  • 影响因子:
  • 作者:
    Andrew Perry;Shilin Zhao;Venkatesh Locharla Murthy;Deepak K. Gupta;William Fuller Fearon;Juyong Brian Kim;Samir R. Kapadia;Dharam J. Kumbhani;Linda D. Gillam;Brian K. Whisenant;Nishath Quader;Alan Zajarias;Ravinder Mallugari;Daniel Eugene Clark;Jay Patel;Holly Gonzales;Frederick G.P. Welt;Anthony A. Bavry;Megan Coylewright;Robert N. Piana
  • 通讯作者:
    Robert N. Piana
SELF-SUPERVISED DEEP REPRESENTATION LEARNING OF A FOUNDATION TRANSFORMER MODEL ENABLING COMPREHENSIVE ECG-BASED ASSESSMENT OF CARDIOVASCULAR HEALTH WITH LIMITED LABELED DATA
基于基础变压器模型的自监督深度表示学习,能够利用有限标记数据进行全面的基于心电图的心血管健康评估
  • DOI:
    10.1016/s0735-1097(25)03242-5
  • 发表时间:
    2025-04-01
  • 期刊:
  • 影响因子:
    22.300
  • 作者:
    Jonathan Moody;Alexis Poitrasson-Rivière;Jennifer M. Renaud;Michael Vanderver;Edward P. Ficaro;Venkatesh Locharla Murthy
  • 通讯作者:
    Venkatesh Locharla Murthy
MACHINE LEARNING MODEL TO PREDICT MYOCARDIAL BLOOD FLOW AND IMPORTANT CLINICAL OUTCOMES FROM PATIENTS’ ELECTROCARDIOGRAMS USING A PET DATA REGISTRY
  • DOI:
    10.1016/s0735-1097(24)04352-3
  • 发表时间:
    2024-04-02
  • 期刊:
  • 影响因子:
  • 作者:
    Fares Alahdab;Maliazurina Saad;Ahmed Ibrahim Ahmed;Qasem Al-Tashi;Yushui Han;Muhammad Aminu;Venkatesh Locharla Murthy;Jia Wu;Mouaz H. Al-Mallah
  • 通讯作者:
    Mouaz H. Al-Mallah
PYP QUANTIFICATION OF AMYLOID BURDEN IN TRANSTHYRETIN AMYLOID CARDIOMYOPATHY AND CORRELATION WITH ECHOCARDIOGRAM
  • DOI:
    10.1016/s0735-1097(24)03402-8
  • 发表时间:
    2024-04-02
  • 期刊:
  • 影响因子:
  • 作者:
    Kaitlin Shinn;Yoav Hamer;Alexis Poitrasson-Rivière;Matheos Yosef;Chaitanya Madamanchi;Venkatesh Locharla Murthy
  • 通讯作者:
    Venkatesh Locharla Murthy
IMPROVED QUANTITATIVE SPECT MYOCARDIAL PERFUSION IMAGING USING DEEP LEARNING-BASED ATTENUATION CORRECTION
  • DOI:
    10.1016/s0735-1097(22)02183-0
  • 发表时间:
    2022-03-08
  • 期刊:
  • 影响因子:
  • 作者:
    Tomoe Hagio;Alexis Poitrasson-Rivière;Jonathan B. Moody;Jennifer M. Renaud;Liliana Arida-Moody;Ravi V. Shah;Edward P. Ficaro;Venkatesh Locharla Murthy
  • 通讯作者:
    Venkatesh Locharla Murthy

Venkatesh Locharla Murthy的其他文献

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{{ truncateString('Venkatesh Locharla Murthy', 18)}}的其他基金

Molecular markers of early cardiometabolic health transitions in the CARDIA study
CARDIA 研究中早期心脏代谢健康转变的分子标记
  • 批准号:
    10581341
  • 财政年份:
    2022
  • 资助金额:
    $ 23.64万
  • 项目类别:
Metabolic architecture of insulin action in Southwest American Indians
西南美洲印第安人胰岛素作用的代谢结构
  • 批准号:
    10647802
  • 财政年份:
    2020
  • 资助金额:
    $ 23.64万
  • 项目类别:
Metabolic architecture of insulin action in Southwest American Indians
西南美洲印第安人胰岛素作用的代谢结构
  • 批准号:
    10544900
  • 财政年份:
    2020
  • 资助金额:
    $ 23.64万
  • 项目类别:
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study
新陈代谢对非洲裔和白种裔美国人健康老龄化的影响:Health ABC 研究
  • 批准号:
    10186677
  • 财政年份:
    2018
  • 资助金额:
    $ 23.64万
  • 项目类别:
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study
新陈代谢对非洲裔和白种裔美国人健康老龄化的影响:Health ABC 研究
  • 批准号:
    9906155
  • 财政年份:
    2018
  • 资助金额:
    $ 23.64万
  • 项目类别:
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study
新陈代谢对非洲裔和白种裔美国人健康老龄化的影响:Health ABC 研究
  • 批准号:
    9750581
  • 财政年份:
    2018
  • 资助金额:
    $ 23.64万
  • 项目类别:
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study
新陈代谢对非洲裔和白种裔美国人健康老龄化的影响:Health ABC 研究
  • 批准号:
    10617900
  • 财政年份:
    2018
  • 资助金额:
    $ 23.64万
  • 项目类别:

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