Translational Biomarker Analytical Core (TBAC)
转化生物标志物分析核心 (TBAC)
基本信息
- 批准号:9918397
- 负责人:
- 金额:$ 20.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-02-01 至 2023-01-31
- 项目状态:已结题
- 来源:
- 关键词:Amino AcidsAnimal ModelAttentionBioinformaticsBiological AssayBiological MarkersBloodC-PeptideCapitalCatecholaminesClassificationClinicalClinical InvestigatorCollaborationsComplications of Diabetes MellitusConsultationsDataData AnalysesDevelopmentDiabetes MellitusDietDietary InterventionDiseaseDyslipidemiasEnzyme-Linked Immunosorbent AssayEquipmentExperimental DesignsFeeding behaviorsFundingGeneticGlucagonGlucoseGlycerolGrantHepaticHomeostasisHormonesHydrocortisoneIndividualInstitutesInsulinInsulin ResistanceInvestigationKetonesKineticsLaboratoriesLipidsLipoproteinsMeasurementMedicalMetabolicMetabolic MarkerMetabolismMethodologyMethodsMolecular GeneticsMonitorNonesterified Fatty AcidsObesityPathway AnalysisPatternPharmaceutical PreparationsPhenotypePlasmaPostdoctoral FellowProductivityPublicationsRadioimmunoassayRegimenReproducibilityResearchResearch PersonnelResourcesServicesTechniquesTestingTimeTrainingUnited States National Institutes of HealthUrineanalytical methodbaseblood glucose regulationcostcytokineenergy balanceglucagon-like peptide 1glucose outputglucose tolerancehuman subjectimprovedinnovationinstrumentationinsulin secretioninsulin sensitivitymembermetabolomicsnew technologynovelskillssmall moleculestable isotopetranslational scientist
项目摘要
The Translational Biomarker Analytical Core (TBAC) Laboratory makes available to DRC
investigators analytical techniques to support studies of diabetes mellitus, insulin resistance,
intermediary metabolism, and medical consequences of diabetes in human subjects and animal
models. The services provided are best based in a Core Laboratory because they require investigator
consultation, special instrumentation and methods that are difficult or impracticable to establish in
individual laboratories. In addition, this arrangement allows for coordinated attention to reliability and
reproducibility of the assays employed. In investigations of glucose homeostasis, insulin secretion,
dyslipidemia, hormone action, molecular genetics, or drug effects, it is essential to be able to monitor
hormones such as insulin, C-peptide, glucagon, GLP-1, GIP, PYY, cortisol and catecholamines and
such metabolites as glucose, FFA, glycerol, ketones, amino acids, and lipids. With the increasing
technical capabilities to develop and validate novel disease biomarkers, one of the key functions of the
Core is to expeditiously develop and inaugurate these new methods so that the research base can
avail itself of these assays. In the past funding cycle, the Core provided ~80,000 assays to 33 DRC
members supported by 81 grants. The resultant data have contributed to 17 new NIH grants,
and 85 Core-supported publications (69 as primary, 16 as secondary Core). The SPECIFIC AIMS
of the TBAC are: 1) To meet the high demand for a dynamic range of bioassays by the research base,
enhancing efficiency, quality, and reproducibility, while minimizing costs. 2) To respond to members’
needs by introducing new assays and methods that leverage the expertise of the Core staff. 3) To
provide expert advice to investigators and their associates on analytical methods, experimental design,
and data interpretation. 4) To train junior investigators and post-doctoral fellows in practical skills in the
Core methods and, if appropriate, transfer analytical methods to their own labs. 5) To facilitate access
to targeted metabolomics/lipidomics determinations by the Columbia CTSA Biomarker Laboratory. 6)
To facilitate access to experts in bioinformatics, kinetic studies and pathway analyses required to
appropriately interpret metabolomics/lipidomics determinations and stable isotopes kinetic studies. 7)
To facilitate collaborations among the research base, advertise available resources, and develop
and/or facilitate investigator access to new technologies, such as MS-based methods to analyze and
quantify metabolites. TBAC analytic and consultative capabilities are closely articulated with the
other DRC Cores to provide an integrated approach to quantitative metabolic analyses (Fig. 1).
翻译生物标志物分析核心(TBAC)实验室向DRC提供
研究人员分析技术,以支持糖尿病,胰岛素抵抗,
人和动物中糖尿病中间代谢和医学后果
模型提供的服务最好在核心实验室进行,因为它们需要研究人员
难以或不切实际建立的咨询、特殊仪器和方法,
个别实验室。此外,这种安排允许协调注意可靠性,
所用测定的重现性。在葡萄糖稳态、胰岛素分泌、
血脂异常、激素作用、分子遗传学或药物作用,必须能够监测
激素如胰岛素、C肽、胰高血糖素、GLP-1、GIP、PYY、皮质醇和儿茶酚胺,
代谢物如葡萄糖、FFA、甘油、酮、氨基酸和脂质。的增加
开发和验证新型疾病生物标志物的技术能力,
核心是迅速开发和开创这些新方法,使研究基地能够
利用这些测定。在过去的供资周期中,核心向33个刚果民主共和国提供了约80,000份分析报告。
获得81赠款。由此产生的数据为17个新的NIH赠款做出了贡献,
和85篇核心支持的出版物(69篇为主要核心,16篇为次要核心)。具体目标
的TBAC是:1)为了满足研究基地对生物测定动态范围的高需求,
提高效率、质量和再现性,同时最小化成本。2)回应有些议员
通过引入利用核心员工专业知识的新检测和方法,满足客户的需求。3)到
为研究人员及其同事提供分析方法,实验设计,
数据解释。4)培训初级研究员和博士后研究员的实践技能,
核心方法,并在适当的情况下将分析方法转移到自己的实验室。5)以让他人可
由哥伦比亚CTSA生物标志物实验室进行的靶向代谢组学/脂质组学测定。六、
为方便接触生物信息学、动力学研究和途径分析方面的专家,
适当解释代谢组学/脂质组学测定和稳定同位素动力学研究。第七章)
促进研究基地之间的合作,宣传可用资源,并开发
和/或促进研究者获得新技术,如基于MS的分析方法,
定量代谢物。TBAC的分析和咨询能力与
其他DRC核心,提供定量代谢分析的综合方法(图1)。
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)
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{{ truncateString('BLANDINE B LAFERRERE', 18)}}的其他基金
TREAT (Time Restricted EATing) to improve cardiometabolic health
TREAT(限时进食)可改善心脏代谢健康
- 批准号:
10915174 - 财政年份:2020
- 资助金额:
$ 20.09万 - 项目类别:
TREAT (Time Restricted EATing) to improve cardiometabolic health
TREAT(限时进食)可改善心脏代谢健康
- 批准号:
10264828 - 财政年份:2020
- 资助金额:
$ 20.09万 - 项目类别:
TREAT (Time Restricted EATing) to improve cardiometabolic health
TREAT(限时进食)可改善心脏代谢健康
- 批准号:
10614729 - 财政年份:2020
- 资助金额:
$ 20.09万 - 项目类别:
TREAT (Time Restricted EATing) to improve cardiometabolic health
TREAT(限时进食)可改善心脏代谢健康
- 批准号:
10686000 - 财政年份:2020
- 资助金额:
$ 20.09万 - 项目类别:
TREAT (Time Restricted EATing) to improve cardiometabolic health
TREAT(限时进食)可改善心脏代谢健康
- 批准号:
10473751 - 财政年份:2020
- 资助金额:
$ 20.09万 - 项目类别:
Metabolomic Biomarkers Predictors of Long-term Success Following Bariatric surgery
减肥手术后长期成功的代谢组生物标志物预测因素
- 批准号:
9054330 - 财政年份:2015
- 资助金额:
$ 20.09万 - 项目类别:
Metabolomic Biomarkers Predictors of Long-term Success Following Bariatric surgery
减肥手术后长期成功的代谢组生物标志物预测因素
- 批准号:
9147602 - 财政年份:2015
- 资助金额:
$ 20.09万 - 项目类别:
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