India ENIGMA Initiative for Global Aging & Mental Health

印度 ENIGMA 全球老龄化倡议

• 批准号: 10681325
• 负责人: VENKATASUBRAMANIAN GANESAN
• 金额: $ 56.89万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10681325
• 关键词: Affect; Age; Aging; Alzheimer' s Disease; Alzheimer' s disease pathology; Alzheimer' s disease risk; Attention; Biometry; Blood; Brain; California; Caucasians; Clinical; Clinical Data; Clinical Research; DNA Methylation; Data; Dementia; Developing Countries; Diet; Diffusion Magnetic Resonance Imaging; Disease; Disease Progression; Drug abuse; Drug usage; Education; Educational process of instructing; Educational workshop; Endocrine; Equation; Estrogens; Ethnic Population; Etiology; European; Evaluation; Functional Magnetic Resonance Imaging; Future; Genetic; Genetic Risk; Genetic study; Genome; Genotype; Goals; Grant; Health; High Density Lipoprotein Cholesterol; Hydrocortisone; Image; Impaired cognition; Incidence; India; Individual; Individual Differences; Inflammatory; Infrastructure; Interleukin-6; International; Journals; LDL Cholesterol Lipoproteins; Link; Longevity; Magnetic Resonance Imaging; Measures; Medical; Medical Research; Mental Depression; Mental Health; Modeling; Multimodal Imaging; National Institute of Mental Health; Neurosciences; Pathway interactions; Peer Review; Persons; Pharmaceutical Preparations; Phenotype; Physical activity; Plasma; Population; Process; Productivity; Prognosis; Proteomics; Psychosocial Factor; Publishing; Quality Control; Reproducibility; Research; Research Infrastructure; Research Personnel; Resources; Rest; Risk; Rural; Science; Scientist; Sleep; TNF gene; Techniques; Testing; Thyroid Gland; Training; Triglycerides; United States National Institutes of Health; Universities; aging brain; apolipoprotein E-4; biobank; biological sex; brain research; cardiovascular risk factor; clinical predictors; cohort; cost effective; data harmonization; design; disorder risk; empowerment; epigenetic marker; epigenome; ethnic diversity; family support; global health; imaging biomarker; innovation; insight; international partnership; lifestyle factors; literacy; low and middle-income countries; machine learning method; methylation pattern; multimodal neuroimaging; nervous system disorder; neuroimaging; novel; predictive marker; predictive modeling; promote resilience; psychosocial; resilience; response; sex; specific biomarkers; sulfated glycoprotein 2; tau Proteins; tool; treatment trial; urban area

ABSTRACT Our revised proposal launches the India ENIGMA Initiative for Global Aging & Mental Health - a globally coordinated study of brain aging and Alzheimer's disease (AD), created response to the NIH FOA: Global Brain and Nervous System Disorders Research Across the Lifespan (R01; PAR-18-834; https://grants.nih.gov/grants/guide/pa-files/PAR-18-835.html). Our overall goal is to identify predictive markers in the blood, genome, and epigenome that influence brain aging in India, to better understand prognosis, and to support personalized risk evaluations on each continent. We plan to identify etiological pathways to resilience using the rich biobanking strategy developed by our partners at NIMHANS in India. To do this, we will leverage our global consortium, ENIGMA (http://enigma.ini.usc.edu), to partner with dementia research pioneers in India, creating new links between international biobanks, and building research capacity. By 2020, 70% of the world's population over age 60 will live in developing countries, with 14% in India (Mathuranath 2012). Recently, attention has been drawn to a “diversity” crisis in brain research, as most brain research is conducted in Caucasian populations from relatively wealthy backgrounds (LeWinn 2017). This lack of ethnic diversity means that: (1) we do not know if predictors of health (and disease) generalize to other ethnic groups, and (2) we fail to collect vital data that could teach us how AD progresses in populations with different genetic and environmental backgrounds. Our coordinated analyses in US/EU and Indian biobanks will help identify brain aging predictors specific to India and those that are universal. Specifically, we will: Aim 1. Create Lifespan Charts of brain aging Trajectories in India using MRI, DWI and Resting State Functional MRI. Aim 2. Identify Blood and Epigenetic Markers that Predict Brain Aging and AD in India. Aim 3. Using a combination of multimodal imaging, blood markers, and clinical data to predict clinical decline in India. We test structural equation models that hypothesize how brain aging depends on lifestyle and psychosocial factors (diet, family support, drug abuse, literacy, sleep, and depression), as well as sex, education, and AD genetic risk. With novel machine learning methods, will analyze blood markers and plasma proteomic analytes, to define processes that are harmful to brain aging. In Capacity Building Aims, we will leverage ENIGMA's successful strategies to train emerging and established scientists in India to analyze their data with high quality control and precision, with targeted biostatistical and imaging workshops to bolster capacity. This collaborative India-US initiative will enable future science initiatives, and equip the NIMHANS team with the necessary tools to train new scientists and independently conduct high impact research bridging efforts into numerous international partnerships.

摘要

项目成果

BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.

BundleCleaner：扩散 MRI 衍生纤维束成像数据的无监督去噪和子采样。

• DOI: 10.1101/2023.08.19.553990
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Feng,Yixue;Chandio,BramshQ;Villalón-Reina,JulioE;Thomopoulos,SophiaI;Joshi,Himanshu;Nair,Gauthami;Joshi,AnandA;Venkatasubramanian,Ganesan;John,JohnP;Thompson,PaulM
• 通讯作者: Thompson,PaulM