Proteomic Biomarkers for Glaucomatous Optic Neuropathy
青光眼视神经病变的蛋白质组生物标志物
基本信息
- 批准号:10329956
- 负责人:
- 金额:$ 37.35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-01 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAgeAnteriorApoptosisAqueous HumorAreaAwarenessBinding ProteinsBioinformaticsBiologicalBiological MarkersBiological ProcessBlindnessBloodBody FluidsCataractCataract ExtractionCell physiologyCellsCharacteristicsCiliary BodyClinicalClinical DataComputer softwareConsentCorneaDataDatabasesDetectionDevelopmentDiagnosticDiseaseDisease ManagementElectrolytesEpithelialExcisionEyeEye diseasesFamilyFoundationsFutureGenerationsGlaucomaGlycoproteinsHomeostasisHumanImageImmunityIndividualInfectionInflammationInternetInvestigationLaboratoriesLeadLinkLiquid substanceMaintenanceMalignant NeoplasmsMass Spectrum AnalysisMeasuresMedicalMetabolicModalityMolecularMorphologyNerveNutrientOperative Surgical ProceduresOphthalmologistOptic NerveOxygenPathway interactionsPatientsPersonsPhysiologic Intraocular PressurePlasmaPolysaccharidesPost-Translational Protein ProcessingPreventionPrognostic MarkerProtein GlycosylationProteinsProteomeProteomicsRaceResearchResearch PersonnelRetinal Ganglion CellsRiskRisk FactorsSamplingShapesSiteSourceSpeedStatistical ModelsStructural defectStructureSymptomsTechnologyTherapeuticThickTimeTissuesTrabecular meshwork structureVariantVertebral columnVisual FieldsVisualizationWateraqueousbaseburden of illnessdata integrationdata reusediagnostic biomarkerdigital repositoriesfrontierglaucoma surgeryglobal healthglycoproteomicsglycosylationimprovedinfancyinstrumentliquid chromatography mass spectrometrymass spectrometernerve damagenew technologynovel markeroptic nerve disorderposterior eyeball chamberprognostic toolretinal nerve fiber layersexsocialtooltranslational impacttreatment strategywastingweb site
项目摘要
Project Summary/Abstract
Glaucoma is a family of eye disorders which causes permanent vision loss. Glaucoma, in most cases, has no
early symptoms and is detected when the nerve damage and vision loss is irreversible. If global projections
hold by 2020 there will be 76 million people with glaucoma. Elevated intraocular pressure (IOP) is a major risk
factor for glaucoma. Unfortunately, elevated IOP is not always predictive as some glaucoma patients have
normal IOP, while other individuals with elevated IOP do not manifest the disease. Glaucoma detection and
disease management is a significant challenge in the field and many clinical issues remain unsolved. One of
the biggest issues is that the eyes of some patients look like they have glaucoma and don’t while others look
like they don’t have glaucoma but in fact are in the early stages of the disease.
The newest frontier in glaucoma research is investigation of how ocular proteins relate to vision loss.
Identification of relationship between glaucoma, proteins and other molecules will set the stage for better
diagnostic modalities, improved treatment strategies, blindness prevention and therefore, reduce the global
health burden of this disease.
Aqueous humor (AH) is a fluid which bathes nearly all structures in the front of the eye as it flows from its
source at the ciliary body to its exit: the trabecular meshwork. Some AH proteins originate from the ciliary body
simultaneously within the aqueous component. Others are picked up as the fluid circulates through and around
healthy and unhealthy ocular tissues. This proposal aims to quantitatively analyze these AH proteins and
determine the relationship between them and glaucomatous optic neuropathy. This fluid can be safely
collected during cataract and glaucoma surgeries where it is usually discarded. We will collect medical, social
and clinical data on consenting cataract and glaucoma surgical patients. Some clinical parameters will be
obtained from state of the art instruments which produce high definition images of nerve layers and
configurations. The proteins in the AH will be identified and quantified using the latest generation mass
spectrometry and statistically compared to clinical data. Bioinformatics analyses will be performed to reveal the
cellular functions associated with protein alterations. Based on these data we will develop statistical models in
an effort to identify individuals at risk for optic neuropathy. We aim to use the protein data to help classify
subtypes in the family of glaucoma. Finally, we will develop a publicly available internet accessible database of
AH proteins which we will populate with our protein discoveries. This database may also become part of the
backbone of an electronic repository to enable data integration across different scientific laboratories. This
approach should allow global glaucoma investigations to proceed more effectively eventually reducing the
burden of blindness.
项目概要/摘要
青光眼是一种导致永久性视力丧失的眼部疾病,在大多数情况下,青光眼不会导致视力丧失。
早期症状,并在神经损伤和视力丧失不可逆转时被发现。
预计到 2020 年,将有 7600 万人患有青光眼,眼内压 (IOP) 升高是一项主要风险。
不幸的是,眼压升高并不总是像某些青光眼患者那样具有预测作用。
眼压正常,而其他眼压升高的个体未检测到青光眼。
疾病管理是该领域的一项重大挑战,许多临床问题仍未解决。
最大的问题是,一些患者的眼睛看起来像患有青光眼,而其他患者则看起来没有
就像他们没有患有青光眼,但实际上正处于疾病的早期阶段。
青光眼研究的最新前沿是研究眼部相关蛋白如何导致视力丧失。
鉴定青光眼、蛋白质和其他分子之间的关系将为更好地治疗奠定基础。
诊断方式、改进治疗策略、预防失明,从而减少全球
这种疾病的健康负担。
房水 (AH) 是一种液体,当它从眼球流出时,它会沐浴眼睛前部的几乎所有结构。
来源:睫状体至其出口:小梁网 一些 AH 蛋白源自睫状体。
当液体在其周围循环时,同时在水性成分中吸收其他物质。
该提案旨在定量分析这些 AH 蛋白和
确定它们与青光眼性视神经病变之间的关系即可安全使用此液。
在白内障和青光眼手术期间收集的信息通常会被丢弃。我们将收集医疗、社会信息。
同意白内障和青光眼手术患者的临床数据将是一些临床参数。
从最先进的仪器获得,可产生神经层的高清图像和
AH 中的蛋白质将使用最新一代质量进行鉴定和定量。
将进行光谱测定并与临床数据进行比较以揭示。
基于这些数据,我们将开发与蛋白质改变相关的细胞功能。
我们的目标是利用蛋白质数据来帮助分类,以识别有视神经病变风险的个体。
最后,我们将开发一个可公开访问的互联网数据库。
我们将用我们发现的蛋白质填充的 AH 蛋白质也可能成为该数据库的一部分。
电子存储库的主干,以实现不同科学实验室之间的数据集成。
方法应使全球青光眼调查能够更有效地进行,最终减少
失明的负担。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Survey of Microinvasive Glaucoma Surgery and Other Glaucoma Surgical Experience among United States Ophthalmology Residency Programs.
- DOI:10.1055/s-0040-1721072
- 发表时间:2021-07
- 期刊:
- 影响因子:0
- 作者:Halenda, Kevin M;Lee, Tae Jin;Sharma, Ashok;Estes, Amy J;Bollinger, Kathryn E
- 通讯作者:Bollinger, Kathryn E
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ashok Sharma其他文献
Ashok Sharma的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
HTRA1介导CTRP5调控脂代谢通路在年龄相关性黄斑变性中的致病机制研究
- 批准号:82301231
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
PLAAT3降低介导线粒体降解异常在年龄相关性白内障发病中的作用及机制
- 批准号:82301190
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
跨尺度年龄自适应儿童头部模型构建与弥漫性轴索损伤行为及表征研究
- 批准号:52375281
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
ALKBH5通过SHP-1调控视网膜色素上皮细胞铁死亡在年龄相关性黄斑变性中的作用机制研究
- 批准号:82301213
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
视网膜色素上皮细胞中NAD+水解酶SARM1调控自噬溶酶体途径参与年龄相关性黄斑变性的机制研究
- 批准号:82301214
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
Digital monitoring of autonomic activity to detect empathy loss in behavioral variant frontotemporal dementia
对自主活动进行数字监测以检测行为变异型额颞叶痴呆的同理心丧失
- 批准号:
10722938 - 财政年份:2023
- 资助金额:
$ 37.35万 - 项目类别:
Neural Mechanisms Promoting Biased Social Memories in Intergenerational Childhood Abuse
代际童年虐待中促进偏见社会记忆的神经机制
- 批准号:
10749383 - 财政年份:2023
- 资助金额:
$ 37.35万 - 项目类别:
Genomic and Imaging Markers to Understand and Predict Progression of Joint Damage After Injury
基因组和成像标记物可了解和预测受伤后关节损伤的进展
- 批准号:
10605787 - 财政年份:2023
- 资助金额:
$ 37.35万 - 项目类别:
The impact of bilingualism on cognitive reserve/resilience using socio-demographically and linguistically diverse populations
双语对社会人口和语言多样化人群的认知储备/弹性的影响
- 批准号:
10584245 - 财政年份:2023
- 资助金额:
$ 37.35万 - 项目类别:
Tele-Sox: A Tele-Medicine solution based on wearables and gamification to prevent Venous thromboembolism in Oncology Geriatric Patients
Tele-Sox:基于可穿戴设备和游戏化的远程医疗解决方案,用于预防肿瘤老年患者的静脉血栓栓塞
- 批准号:
10547300 - 财政年份:2023
- 资助金额:
$ 37.35万 - 项目类别: