Quantitative analysis of estrogen and sleep deprivation-induced blood and lymphatic vascular remodeling in the brain system
Quantitative analysis of estrogen and sleep deprivation-induced blood and lymphatic vascular remodeling in the brain system
批准号:
10630172
负责人:
Olga V Glinskii
金额:
$53.12万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-04-15 至 2025-03-31
关键词:
AcuteAlgorithmic AnalysisAlgorithmsAlzheimer&aposs DiseaseAnatomyAneurysmAnimalsArteriovenous fistulaBloodBlood CirculationBlood VesselsBlood capillariesBrainBrain MappingCardiovascular systemCentral Nervous SystemCephalicCerebrospinal FluidCerebrovascular DisordersChronicChronic InsomniaCommunicationComplexComputer softwareCystic LymphangiomaDevelopmentDiseaseDura MaterDural Arteriovenous FistulasEffectivenessElementsEstrogensEvaluationFemaleFunctional disorderGeometryGonadal Steroid HormonesHealthHematomaHeterogeneityHybridsImageImage AnalysisImaging TechniquesImpaired cognitionImpairmentIndividualKnowledgeLifeLinkLymphaticLymphatic SystemMachine LearningMagnetic Resonance ImagingMapsMeasurementMeningealMetabolismMethodsMicroscopyMigraineModelingMolecularMorphologyMultiple SclerosisMusNerveNeurogliaNeurologicNeuronsOptical Coherence TomographyOrganPathogenesisPathologicPathway interactionsPhysiologicalPositioning AttributeResolutionRouteSex DifferencesShapesSiteSleepSleep DeprivationSleep DisordersSleep disturbancesSoftware ToolsStrokeStructureSubdural HematomaSubdural HygromaSystemTechniquesTestingTherapeuticTherapeutic InterventionThinnessTissuesTranslationsTreatment EffectivenessVascular DiseasesVascular remodelingVascular resistanceVenousassociated symptomcerebral microvasculaturecerebrovascularclinically relevantconfocal imagingdeep learningdeprivationdetection limitdiagnostic tooldisabilityeffectiveness evaluationgeometric structurein vivolymphatic circulationlymphatic vasculaturelymphatic vesselmachine learning algorithmmalenervous system disorderneuronal circuitrynoninvasive diagnosisnovelresponsesexsleep patternsolutestemsubmicrontranslational progresswasting
中文摘要
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英文摘要
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.
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DOI:
10.1186/s12879-020-05453-1
发表时间:
2020-11-11
期刊:
BMC infectious diseases
影响因子:
3.7
作者:
[Yu H, Yang F, Rajaraman S, Ersoy I, Moallem G, Poostchi M, Palaniappan K, Antani S, Maude RJ, Jaeger S]
通讯作者:
Jaeger S
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.
基于聚类的双重学习结构,用于检测疟疾诊断涂片中的红细胞。
DOI:
10.1109/jbhi.2020.3034863
发表时间:
2021-05
期刊:
IEEE journal of biomedical and health informatics
影响因子:
7.7
作者:
[Kassim YM, Palaniappan K, Yang F, Poostchi M, Palaniappan N, Maude RJ, Antani S, Jaeger S]
通讯作者:
Jaeger S
DOI:
10.1007/s11042-019-07959-6
发表时间:
2019-11
期刊:
MULTIMEDIA TOOLS AND APPLICATIONS
影响因子:
3.6
作者:
[Yolcu, Gozde, Oztel, Ismail, Kazan, Serap, Oz, Cemil, Palaniappan, Kannappan, Lever, Teresa E., Bunyak, Filiz]
通讯作者:
Bunyak, Filiz
DOI:
10.1109/iccvw54120.2021.00375
发表时间:
2021-10
期刊:
... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision
影响因子:
--
作者:
[Bao R, Al-Shakarji NM, Bunyak F, Palaniappan K]
通讯作者:
Palaniappan K
DOI:
10.1109/icip40778.2020.9191045
发表时间:
2020-10
期刊:
Proceedings. International Conference on Image Processing
影响因子:
--
作者:
[Aktar, Rumana, Huxley, V. H., Guidoboni, G., AliAkbarpour, H., Bunyak, F., Palaniappan, K.]
通讯作者:
Palaniappan, K.
共 11 条
Quantitative analysis of estrogen and sleep deprivation-induced blood and lymphatic vascular remodeling in the brain system
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批准号:9914136
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项目类别:
-
资助金额:$54.05万
-
财政年份:2019
-
负责人:Olga V Glinskii
-
依托单位:
Quantitative analysis of estrogen and sleep deprivation-induced blood and lymphatic vascular remodeling in the brain system
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批准号:10404487
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项目类别:
-
资助金额:$53.13万
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财政年份:2019
-
负责人:Olga V Glinskii
-
依托单位:
海外基金