Non-Invasive, Highly Specific Detection of Oxytocin in Biological Fluids
非侵入性、高特异性检测生物体液中的催产素
基本信息
- 批准号:9131542
- 负责人:
- 金额:$ 22.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-05-18 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:Aggressive behaviorAlgorithmsAnesthesia proceduresAnesthesiologyAreaAttention deficit hyperactivity disorderAutomationBackBenchmarkingBindingBiologicalBiological AssayBiosensorBirthBloodBuffersChildChildbirthChildhoodClinicalClinical ResearchCognitiveCollaborationsCollectionComplexDataDetectionDevelopmentDiscipline of obstetricsDoseElectrodesElectronicsEnsureEnzyme ImmunoassayEtiologyEvaluationFeasibility StudiesGoalsHealth ProfessionalHormonesHourHumanHuman ResourcesImmunoassayLabelLaboratoriesLifeLinkLiquid substanceLong-Term EffectsMeasurementMeasuresMedicalMethodsMiniaturizationMonitorMorbidity - disease rateMothersMuscle ContractionMyometrialNeonatalNeuropeptidesNewborn InfantOxytocinPerformancePerinatalPeripheralPhasePlasmaPlayPregnant WomenPreparationProcessProtocols documentationReference StandardsReportingResearchResearch PersonnelRiskRoleRunningSalivaSalivarySamplingSensitivity and SpecificitySex BehaviorSignal TransductionSmall Business Technology Transfer ResearchSmooth MuscleSocial BehaviorSpecificitySurfaceSystemTestingTimeValidationVasopressinsVendorWomanWorkaptamerautism spectrum disorderbasechildhood bipolar disorderexperienceimprovedinnovationinstrumentinstrumentationinterestmagnetic beadsmedical schoolsneonatenervous system disordernon-invasive monitoroffspringpatient populationpeptide hormonepoint of careprogramsprohormonepublic health relevanceresearch studysensorsocialtool
项目摘要
DESCRIPTION (provided by applicant): Non-Invasive Highly Specific Detection of Oxytocin in Biological Fluids Oxytocin, a neuropeptide hormone, plays an important role in a variety of complex social behaviors including affiliation, sexual behavior, and aggression. It is best known for its role to facilitate the birth process through induction of myometrial muscle contractions. However, recent studies have linked the exogenous administration of oxytocin during childbirth to various neurological disorders later in the offspring's life including autism spectrum disorder,
bipolar disorder, childhood cognitive issues, and childhood ADHD. Administration of oxytocin during childbirth can therefore have consequences on the neurodevelopmental trajectory of children, necessitating its perinatal monitoring. There is an increased interest in accurate determination of oxytocin levels in the body; however, research in this area has unfortunately been limited by lack of noninvasive methods, especially considering the involvement of vulnerable patient populations. Therefore, it would be extremely valuable to provide researchers and medical professionals with a simple and practical point-of-care instrument that would accurately determine the peripheral levels of oxytocin in pregnant women and neonatals. Currently, oxytocin measurements are made using commercially available immunoassays; however, these methods are non-specific to extended forms of oxytocin prohormones and they also require skilled personnel and laborious sample preparation protocols in well-established laboratories that result in long turn-around- times (hours to days).The instrumentation is expensive as well and does not lend itself to desktop or portable needs. To the best of our knowledge, there is no currently available instrument that is capable of point-of-care detection of
oxytocin. Giner, Inc. (Giner) proposes to develop an electrochemical assay and validate a point-of-care instrument for highly sensitive and near-real-time perinatal monitoring of oxytocin. During the Phase I work, Giner will develop the first of its kind assay by using aptamer-based targeting and direct electrochemical detection with a targeted oxytocin limit-of-detection (LOD) level of 10 pg/ml. The results will be evaluated for specificity in the presence of non-target peptide hormones such as vasopressin to achieve >100x selectivity. Finally, the sensor's performance will be evaluated in clinically collected human saliva samples and the results will be benchmarked to the immunoassay results. In Phase II, we will focus on miniaturization and automation aspects of the instrument (sensor with associated electronics) while improving the sensitivity and selectivity of the sensor that will aim to correlate the blood and saliva levels of
oxytocin via a broader clinical research perinatal study.
描述(申请人提供):无创高特异性检测生物体液中的催产素催产素是一种神经肽激素,在各种复杂的社会行为中发挥着重要作用,包括从属关系、性行为和攻击。它最广为人知的作用是通过诱导子宫肌层肌肉收缩来促进分娩过程。然而,最近的研究已经将分娩期间外源性催产素的使用与后代晚年的各种神经疾病联系起来,包括自闭症谱系障碍,
双相情感障碍、儿童认知问题和儿童多动症。因此,在分娩期间使用催产素可能会对儿童的神经发育轨迹产生影响,因此有必要对其进行围产期监测。人们对准确测定体内催产素水平越来越感兴趣;然而,不幸的是,这一领域的研究由于缺乏非侵入性方法而受到限制,特别是考虑到脆弱患者的参与。因此,为研究人员和医学专业人员提供一种简单实用的治疗点仪器,准确地测定孕妇和新生儿的外周催产素水平,将是非常有价值的。目前,催产素的测量是使用商业上可用的免疫分析方法进行的;然而,这些方法是非特异性的,而且它们还需要熟练的人员和完善的实验室中繁琐的样品制备方案,这导致了长时间的周转时间(几小时到几天)。仪器也很昂贵,不适合台式或便携式的需要。就我们所知,目前还没有可用的仪器能够检测到
催产素。Giner,Inc.(Giner)建议开发一种电化学分析方法,并验证一种用于高灵敏度和近乎实时的围产期催产素监测的护理点仪器。在第一阶段的工作中,Giner将开发第一种基于适体的靶向和直接电化学检测方法,目标催产素的检测限(LOD)水平为10 pg/ml。将在存在非靶标多肽激素(如加压素)的情况下对结果进行特异性评估,以实现>;100倍的选择性。最后,传感器的性能将在临床收集的人类唾液样本中进行评估,并将结果与免疫分析结果进行基准比较。在第二阶段,我们将专注于仪器的小型化和自动化方面(传感器及其相关电子设备),同时提高传感器的灵敏度和选择性,旨在将血液和唾液水平关联起来。
催产素通过更广泛的临床研究围产期研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
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 }}
Avni A Argun其他文献
Avni A Argun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 }}
{{ truncateString('Avni A Argun', 18)}}的其他基金
Field Instrument for Assessment of Arsenic Exposure
砷暴露评估现场仪器
- 批准号:
10484041 - 财政年份:2023
- 资助金额:
$ 22.5万 - 项目类别:
Population monitoring of stress markers in underserved communities
服务欠缺社区压力标记的人口监测
- 批准号:
10766447 - 财政年份:2023
- 资助金额:
$ 22.5万 - 项目类别:
Electrochemical Assay to Monitor Anti-TB Antibiotics
监测抗结核抗生素的电化学测定
- 批准号:
10010646 - 财政年份:2021
- 资助金额:
$ 22.5万 - 项目类别:
At-home Testing of Blood Sodium for Management of Diabetes Insipidus
在家检测血钠以治疗尿崩症
- 批准号:
10395189 - 财政年份:2021
- 资助金额:
$ 22.5万 - 项目类别:
Rapid, Multiplexed Biosensor for Non-Invasive Detection of Gene Mutations and Personalization of Therapy in Non-Small Cell Lung Cancer
用于非小细胞肺癌基因突变非侵入性检测和个性化治疗的快速多重生物传感器
- 批准号:
10480889 - 财政年份:2019
- 资助金额:
$ 22.5万 - 项目类别:
Rapid, Multiplexed Biosensor for Non-Invasive Detection of Gene Mutations and Personalization of Therapy in Non-Small Cell Lung Cancer
用于非小细胞肺癌基因突变非侵入性检测和个性化治疗的快速多重生物传感器
- 批准号:
10471039 - 财政年份:2019
- 资助金额:
$ 22.5万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 22.5万 - 项目类别:
Continuing Grant