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利用影像量化疾病负担进行新型心血管生物标志物发现的生物样本库建设:纵向、前瞻性BioHEART-CT队列研究方案

Biobanking for discovery of novel cardiovascular biomarkers using imaging-quantified disease burden: protocol for the longitudinal, prospective, BioHEART-CT cohort study.

作者信息

Kott Katharine A, Vernon Stephen T, Hansen Thomas, Yu Christine, Bubb Kristen J, Coffey Sean, Sullivan David, Yang Jean, O'Sullivan John, Chow Clara, Patel Sanjay, Chong James, Celermajer David S, Kritharides Leonard, Grieve Stuart M, Figtree Gemma A

机构信息

Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, St Leonards, New South Wales, Australia.

Department of Cardiology, Royal North Shore Hospital, St Leonards, New South Wales, Australia.

出版信息

BMJ Open. 2019 Sep 18;9(9):e028649. doi: 10.1136/bmjopen-2018-028649.

Abstract

INTRODUCTION

Coronary artery disease (CAD) persists as a major cause of morbidity and mortality worldwide despite intensive identification and treatment of traditional risk factors. Data emerging over the past decade show a quarter of patients have disease in the absence of any known risk factor, and half have only one risk factor. Improvements in quantification and characterisation of coronary atherosclerosis by CT coronary angiography (CTCA) can provide quantitative measures of subclinical atherosclerosis-enhancing the power of unbiased 'omics' studies to unravel the missing biology of personal susceptibility, identify new biomarkers for early diagnosis and to suggest new targeted therapeutics.

METHODS AND ANALYSIS

BioHEART-CT is a longitudinal, prospective cohort study, aiming to recruit 5000 adult patients undergoing clinically indicated CTCA. After informed consent, patient data, blood samples and CTCA imaging data are recorded. Follow-up for all patients is conducted 1 month after recruitment, and then annually for the life of the study. CTCA data provide volumetric quantification of total calcified and non-calcified plaque, which will be assessed using established and novel scoring systems. Comprehensive molecular phenotyping will be performed using state-of-the-art genomics, metabolomics, proteomics and immunophenotyping. Complex network and machine learning approaches will be applied to biological and clinical datasets to identify novel pathophysiological pathways and to prioritise new biomarkers. Discovery analysis will be performed in the first 1000 patients of BioHEART-CT, with validation analysis in the following 4000 patients. Outcome data will be used to build improved risk models for CAD.

ETHICS AND DISSEMINATION

The study protocol has been approved by the human research ethics committee of North Shore Local Health District in Sydney, Australia. All findings will be published in peer-reviewed journals or at scientific conferences.

TRIAL REGISTRATION NUMBER

ACTRN12618001322224.

摘要

引言

尽管对传统风险因素进行了深入的识别和治疗,但冠状动脉疾病(CAD)仍是全球发病和死亡的主要原因。过去十年出现的数据显示,四分之一的患者在没有任何已知风险因素的情况下患病,一半患者仅有一个风险因素。通过CT冠状动脉造影(CTCA)对冠状动脉粥样硬化进行量化和特征分析的改进,可以提供亚临床动脉粥样硬化的定量测量——增强无偏倚的“组学”研究揭示个人易感性缺失生物学机制、识别早期诊断新生物标志物以及提出新的靶向治疗方法的能力。

方法与分析

BioHEART-CT是一项纵向、前瞻性队列研究,旨在招募5000名接受临床指征CTCA的成年患者。在获得知情同意后,记录患者数据、血液样本和CTCA成像数据。所有患者在招募后1个月进行随访,然后在研究期间每年随访一次。CTCA数据提供总钙化和非钙化斑块的体积量化,将使用既定和新颖的评分系统进行评估。将使用最先进的基因组学、代谢组学、蛋白质组学和免疫表型分析进行全面的分子表型分析。复杂网络和机器学习方法将应用于生物学和临床数据集,以识别新的病理生理途径并对新生物标志物进行优先级排序。发现分析将在BioHEART-CT的前1000名患者中进行,验证分析将在随后的4000名患者中进行。结局数据将用于构建改进的CAD风险模型。

伦理与传播

该研究方案已获得澳大利亚悉尼北岸地方卫生区人类研究伦理委员会的批准。所有研究结果将发表在同行评审期刊或科学会议上。

试验注册号

ACTRN12618001322224。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/846f/6756427/68df6847fca5/bmjopen-2018-028649f01.jpg

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