Quantitative analysis of estrogen and sleep deprivation-induced blood and lymphatic vascular remodeling in the brain system

雌激素和睡眠剥夺引起的大脑系统血液和淋巴血管重塑的定量分析

• 批准号: 9914136
• 负责人: Olga V Glinskii
• 金额: $ 54.05万
• 依托单位: UNIVERSITY OF MISSOURI-COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9914136
• 关键词: Acute; Algorithmic Analysis; Algorithms; Alzheimer' s Disease; Anatomy; Aneurysm; Animals; Arteriovenous fistula; Blood; Blood Circulation; Blood Vessels; Blood capillaries; Brain; Brain Mapping; Cardiovascular system; Cephalic; Cerebrospinal Fluid; Cerebrovascular Disorders; Chronic; Chronic Insomnia; Communication; Complex; Computer software; Cystic Lymphangioma; Detection; Development; Disease; Dura Mater; Dural Arteriovenous Fistulas; Effectiveness; Elements; Estrogens; Evaluation; Female; Functional disorder; Geometry; Gonadal Steroid Hormones; Health; Hematoma; Heterogeneity; Hybrids; Image; Image Analysis; Imaging Techniques; Impaired cognition; Impairment; Individual; Knowledge; Lead; Life; Link; Lymphatic; Machine Learning; Magnetic Resonance Imaging; Maps; Measurement; Meningeal; Metabolism; Methods; Microscopy; Migraine; Modeling; Molecular; Morphology; Mosaicism; Multiple Sclerosis; Mus; Nerve; Neuraxis; Neuroglia; Neurologic; Neurons; Optical Coherence Tomography; Parietal; Pathogenesis; Pathologic; Pathway interactions; Physiological; Positioning Attribute; Resolution; Route; Sex Differences; Shapes; Site; Sleep; Sleep Deprivation; Sleep Disorders; Sleep disturbances; Software Tools; Stroke; Structure; Subdural Hematoma; Subdural Hygroma; System; Techniques; Testing; Therapeutic; Therapeutic Intervention; Thinness; Tissues; Translations; Treatment Effectiveness; Vascular Diseases; Vascular remodeling; Vascular resistance; Venous; associated symptom; base; body system; cerebral microvasculature; cerebrovascular; clinically relevant; confocal imaging; deep learning; deprivation; disability; geometric structure; in vivo; lymphatic circulation; lymphatic vasculature; lymphatic vessel; machine learning algorithm; male; microleakage; nervous system disorder; neuronal circuitry; noninvasive diagnosis; novel; response; sex; sleep pattern; solute; stem; submicron; tool; wasting

Abstract Numerous small vessels making up the central nervous system blood and lymphatic vascular networks are heterogeneous and region-specific dynamic structures, whose segments, position, shape and function can change in response to physiological and pathophysiological conditions. To date it has not been possible to integrate blood and lymphatic vascular elements and their microenvironment to achieve a holistic quantitative characterization of the combined brain and meningeal tissue-scale vascular networks, its structure and function in normal and disease states. This application proposes to develop microscopy- based high-throughput image analysis techniques for automated extraction of blood and lymphatic vascular networks enabling quantitative morphodynamic characterization of cerebrovascular microenvironment changes in two intracranial compartments – the brain and dura mater. The study will focus on new algorithms for precise region-specific microvessel registration, mosaicing, segmentation, fusion and colocalization for constructing large tissue scale spatially aligned dual blood/lymphatic vascular network structural maps in the animals of both sexes, as well as characterization of heterogeneities of microvascular networks, including blood and lymphatic vasculature, under estrogen and sleep deprivation (the conditions relevant to multiple cerebrovascular disorders) compared to physiological settings. In other words, advanced microscopy-based techniques will be used to image blood and lymphatic vessels at sub-micron resolution in dura mater and the brain, and then cutting-edge deep machine learning imaging analysis methods will be employed to segment and quantify these vessels, their geometry, vessel wall structure, functionality, and interrelationship. Detailed structural analysis of microvascular networks is essential for accurate evaluation of the distribution of physical forces, substrate delivery and tissue clearance of waste, as well as sex differences and consequences of intracranial networks remodeling under physiological and pathological conditions. This will create knowledge enabling a better understanding of the pathogenesis of vascular impairments under estrogen and sleep deprivation, identify common molecular mechanisms and the efficacy and effectiveness of different therapeutic treatments. Without the ability to construct total structural and functional blood/lymphatic vascular network maps from studies limited to individual tissue component parts, it is little wonder that translation from the molecular and cellular levels to the whole organ and system levels is deficient and hinders translational progress towards a comprehensive understanding of the pathophysiology associated with a range of neurological disorders.

摘要