数据处理与分析核心-猫眼课题宝

数据处理与分析核心

批准号：

10688171

负责人：

ARPANA GUPTA

金额：

$30.11万

依托单位：

UNIVERSITY OF CALIFORNIA LOS ANGELES

依托单位国家：

美国

项目类别：

财政年份：

2020

资助国家：

美国

项目状态：

未结题

起止时间：

2020-05-01 至 2025-04-30

来源：

https://reporter.nih.gov/project-details/10688171

关键词：

16S ribosomal RNA sequencing Affect Anatomy Arousal Behavioral Big Data Bile Acids Bioinformatics Biological Biometry Brain Brain Stem Brain imaging Cell Nucleus Central Nervous System Chronic Clinical Clinical Data Cognitive Therapy Complex Constipation Data Data Analyses Data Collection Data Set Diffusion Disease Emotional Emotions Ensure Estrogens Failure Fatty Acids Functional Magnetic Resonance Imaging Functional disorder Generations Gonadal Steroid Hormones Hormones Human Image Imaging technology Individual Information Systems Irritable Bowel Syndrome Knowledge Link Magnetic Resonance Imaging Measures Mediating Menopausal Status Menopause Menstruation Metagenomics Methodology Mission Modeling Molecular Monitor Multimodal Imaging Multiomic Data Neurobiology Pain Pathway interactions Phase Phenotype Protocols documentation Public Health Quality Control Research Personnel Resolution Rest Role Severities Sex Differences Shotguns Structure Symptoms System Technology Testing Tryptophan Volatile Fatty Acids Writing biological systems computerized data processing data acquisition data integration design frontier gut microbiome metabolomics microbiome microbiome analysis microbiota multimodality multiple omics multisensory neuroimaging new therapeutic target novel diagnostics psychosocial response sex spectrograph statistics therapy outcome tool treatment response

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中文摘要

翻译

摘要拟议的数据处理和分析核心(DPAC)将提供先进的微生物组，代谢组学和神经成像工具和技术是分析脑-肠道-微生物组轴的神经生物学和分子机制，性别差异系统、激素对系统的影响以及与性别有关的认知行为效应的差异情绪和突显回路的治疗。脑-肠道-微生物组途径的阐明不能通过孤立地分析微生物组和神经成像数据集。整合这些独特的组学数据集寻找生物上有意义的关系，代表着生物信息学的前沿，这将是识别 IBS的新诊断和治疗靶点。

英文摘要

ABSTRACT The proposed Data Processing and Analysis Core (DPAC) will provide the advanced microbiome, metabolomics and neuroimaging tools and technologies necessary to analyze the interactions of neurobiological and molecular mechanisms underlying the brain-gut-microbiome axis, sex differences in this system, the influence of hormones on systems, and sex related differences in the effect of cognitive behavioral therapy on emotion and salience circuits. Elucidation of brain-gut-microbiome pathways cannot be achieved by analysis of microbiome and neuroimaging data sets in isolation. Integration of these distinctive `omics data sets to find biologically meaningful relationships, represents a frontier in bioinformatics that will be critical to identify novel diagnostic and therapeutic targets for IBS.

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