课题基金 / 基金详情

Quantitative diagnosis of TB/HIV co-infection using pathogen-specific exosomes in blood

Quantitative diagnosis of TB/HIV co-infection using pathogen-specific exosomes in blood
利用血液中病原体特异性外泌体定量诊断结核病/艾滋病毒合并感染
批准号:
10021388
负责人:
Jia Fan
金额:
$7.58万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-25 至 2021-04-30

项目摘要

项目成果

Jia Fan的其他基金

相似基金

相关文献

中文摘要
翻译
摘要
英文摘要
ABSTRACT Patients co-infected with HIV and tuberculosis (TB) exhibit accelerated progression of both diseases. A missed TB diagnosis in a HIV-positive patient, and vice versa, can have severe consequences, since mortality rates are very high in HIV/TB co-infected patients. The World Health Organization thus recommends HIV testing for TB patients and TB screening for HIV-affected patients. Early diagnosis of HIV/TB co-infections and appropriately timed interventions can improve health outcomes by slowing disease progression and reducing mortality and the spread of these infections. Given this urgent need for early diagnosis of HIV and TB, we propose to develop and validate a novel assay that rapidly and directly diagnoses both HIV and TB infections, using a sensitive nanoplasmon-enhanced scattering (nPES) platform to detect pathogen-specific (Ps) exosomes (PsExo) that carry TB- and/or HIV-derived antigens in patient serum samples. Ps antigens are often difficult to detect in circulation, due to low concentrations and potential masking by non-specific protein interactions or degradative enzymes, especially early in infection when antigen concentrations are low. Body fluids are rich in exosomes, and exosomes are rich sources of multiple Ps-antigens. Exosome enrichment effectively concentrates Ps- antigens and protects them from circulating hydrolases, thereby enhancing and improving detection. While use of PsExo as biomarkers for diagnosing specific infectious diseases is new and shows great promise, significant technical challenges, including the current lack of validated PxExo markers for specific diseases and simple and rapid assays for PsExo analysis, exist. We have recently demonstrated that we can use our nPES assay platform to quantify cancer-derived exosomes and diagnose early-stage pancreatic tumors from disease controls. We will adapt this approach to detect HIV and TB PsExo in this proposal. Aim 1 will address the first issue by identifying pathogenic proteins specifically or predominantly expressed on exosomes of infected cells and evaluating PsExo candidates by quantitative proteomics analysis of infected patients from Foundation for Innovative New Diagnostics (FIND) sample bank. Aim 2 will establish an optimized nPES array using Aim 1 PsExo biomarkers, apply machine learning to develop an nPES array that can effectively diagnose HIV, TB and HIV/TB patients based on nPES results, and validate these findings in an independent FIND cohort. This approach does not require a separate exosome isolation step and uses only microsample serum volumes. The proposed assay will benefit co-infected patients who are unable to produce sputum, extrapulmonary TB patients who often require invasive biopsies for diagnosis, and patients with acute HIV infections who are still HIV antibody negative.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Cathepsin B Dependent Cleavage Product of Serum Amyloid A1 Identifies Patients with Chemotherapy-Related Cardiotoxicity.
血清淀粉样蛋白 A1 的组织蛋白酶 B 依赖性裂解产物可识别患有化疗相关心脏毒性的患者。
DOI: 10.1021/acsptsci.9b00035
发表时间: 2019
期刊: ACS pharmacology & translational science
影响因子: --
作者: [Zhang,Fangfang, Lyon,ChristopherJ, Walls,RobertJ, Ning,Bo, Fan,Jia, Hu,TonyY]
通讯作者: Hu,TonyY
Acquisition of next-generation Orbitrap Eclipse Tribrid Mass Spectrometer system
  • 批准号:
    10431262
  • 项目类别:
  • 资助金额:
    $137.31万
  • 财政年份:
    2022
  • 负责人:
    Jia Fan
  • 依托单位:
Adipose Tissue-Derived Extracellular Vesicles as Early Biomarkers of Type 2 Diabetes
  • 批准号:
    10664054
  • 项目类别:
  • 资助金额:
    $25.77万
  • 财政年份:
    2016
  • 负责人:
    Jia Fan
  • 依托单位:
Adipose Tissue-Derived Extracellular Vesicles as Early Biomarkers of Type 2 Diabetes
  • 批准号:
    10504814
  • 项目类别:
  • 资助金额:
    $25.85万
  • 财政年份:
    2016
  • 负责人:
    Jia Fan
  • 依托单位:
海外基金