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：

10461216

负责人：

ARPANA GUPTA

金额：

$30.24万

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/10461216

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 Chronic Clinical Clinical Data Cognitive Therapy Complex Constipation Data Data Analyses Data Collection Data Set Diffusion Disease Emotional Emotions Ensure Estrogens Failure 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 Microbiology Mission Modeling Molecular Monitor Multimodal Imaging Multiomic Data Neuraxis 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 base biological systems computerized data processing data acquisition data integration design frontier gut microbiome metabolomics microbiome microbiome analysis microbiota metabolites 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，代谢组学和神经影像学工具和技术，以分析的相互作用，脑-肠-微生物组轴的神经生物学和分子机制，系统、激素对系统的影响以及认知行为影响的性别相关差异情绪和意识回路的治疗脑-肠-微生物组途径的阐明不能通过微生物组和神经成像数据集的独立分析。这些独特的“组学”数据集的整合发现生物学上有意义的关系，代表了生物信息学的前沿，这对识别 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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