Digital serology for parallel parasitic disease detection

用于并行寄生虫病检测的数字血清学

基本信息

批准号：
9255416
负责人：
Patrick S Daugherty
金额：
$ 22.5万
依托单位：
SERIMMUNE, INC.
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-01-01 至 2017-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9255416
关键词：
Acanthamoeba Acute Disease Address Americas Angiostrongylus cantonensis Antibodies Antibody Repertoire Antibody Specificity Antigen Targeting Antigens Archives Autoimmune Diseases Balamuthia mandrillaris Bar Codes Binding Bioinformatics Biological Assay Blinded Blood Cells Blood Tests Cardiac Celiac Disease Centers for Disease Control and Prevention (U.S.)Chagas Disease Chronic Chronic Disease Clinical Collection Communicable Diseases Computer software Consensus Custom Data Data Set Databases Detection Diagnosis Diagnostic Diagnostic Sensitivity Diagnostic Specificity Diagnostic tests Disease Echinococcus granulosus Entamoeba histolytica Enzyme-Linked Immunosorbent Assay Epitopes Exhibits Family Gold Heart Diseases Human Immunoassay Individual Infection Knowledge Laboratories Lead Leishmania Measures Methodology Methods Microscopic Naegleria fowleri Outcome Parasites Parasitic Diseases Parasitic infection Peptide Library Peptides Phase Populations at Risk Preparation Process Randomized Reproducibility Sampling Sensitivity and Specificity Serodiagnoses Serologic tests Serological Specificity Specimen Taenia solium Technology Test Result Testing Time Toxocara Toxoplasma gondii Trypanosoma cruzi United States Validation accurate diagnosis base biomarker discovery cost diagnostic accuracy diagnostic panel digital gastrointestinal improved molecular diagnostics neglect next generation sequencing novel pathogen performance tests prevent specific biomarkers

项目摘要

The proposed project aims to build a diagnostic test for chronic T. cruzi infection and Chagas disease that not only improves testing performance but that can be readily integrated with similarly developed tests for most clinically important parasitoses. Current assays for Chagas disease, and other parasitic infections, lack desired levels of specificity, and require multiple independent assays and testing formats. Consequently, testing a single specimen for several different clinically important parasitic diseases becomes cost prohibitive and time consuming, delaying disease detection and treatment. We propose to address this problem by creating a single, all-in-one diagnostic test able to detect ten or more different clinically important parasitic diseases. Importantly, the proposed strategy could be expanded to a nearly arbitrary number of infectious diseases without resultant increases in final test cost. Towards a multiplexed parasitic disease test, we will first create an improved test for Chagas disease, that impacts about 350,000 individuals in the US, and 8 million in the Americas. To accomplish this, we will apply bacterial display peptide libraries, next-generation sequencing, and computational bioinformatics to identify a set of motifs and consensus peptides corresponding to antigenic peptide epitopes that when combined yield optimal sensitivity and specificity values in the discovery set. The motif and peptide panels will be validated using an independent specimen set. Assay reproducibility and stability will be measured. This project may thus lead to clinically useful tests to improve the rates of detection parasitic diseases their resultant complications.

拟议的项目旨在为慢性T. cruzi感染和Chagas疾病建立诊断测试，不仅可以改善测试性能，而且很容易将其与大多数临床上重要的寄生虫的类似开发的测试集成。当前的chagas病和其他寄生虫感染的测定法缺乏所需的特异性水平，需要多种独立的测定和测试格式。因此，对几种不同临床上重要的寄生虫疾病进行单个标本的测试变得越来越高，延迟了疾病的检测和治疗。我们建议通过创建一个多合一的诊断测试来解决这个问题，能够检测十种或更多不同的临床上重要的寄生疾病。重要的是，提出的策略可以扩展到几乎任意数量的传染病，而最终测试成本的增加。为了进行多元化的寄生虫疾病测试，我们将首先对木马疾病进行改进的测试，该测试影响了美国约35万人，在美洲影响了800万。为此，我们将应用细菌显示肽库，下一代测序以及计算生物信息学，以识别一组与抗原肽表位相对应的基序和共有肽，这些基肽表位相对应，这些肽表位在发现集中在发现集合中的抗原肽表位。基序和肽面板将使用独立的试样集进行验证。测定可重复性和稳定性将被测量。因此，该项目可能会导致临床上有用的测试，以提高检测寄生疾病的速率。