Cerebral Large Vessel Occlusion Stroke Multiomics Biosample Cohort

This multicenter, ambispective cohort study establishes a comprehensive multiomics biobank from five stroke centers, encompassing thrombi, intracranial blood, peripheral arterial/venous blood, and clinical-laboratory-imaging-follow-up data from patients with acute ischemic stroke with large vessel occlusion (AIS-LVO).

This study is a multicenter, ambispective cohort study. Blood clot, peripheral arterial blood, peripheral venous blood, and intracranial blood samples were collected from patients at 5 stroke centers to establish a biobank of patients with AIS-LVO. Blood and thrombus samples underwent pathological analysis, metabolomics, proteomics, and genomics for multidimensional testing. Additionally, clinical, laboratory, follow-up, and imaging data were collected. The main objective is to identify phenotypic differences between intracranial blood and peripheral blood, describe the microenvironment profile, and perform a combined analysis of the thrombus' multi-omics phenotypes to construct a "microenvironment" multiomics fingerprint. Furthermore, based on the multi-omics phenotypic components of thrombus and blood, clinical prediction models will be built. These models will address clinical issues related to etiology diagnosis, risk stratification, and prognosis in large vessel occlusion stroke patients, using external or internal validation methods. For a subset of patients, thrombus samples will undergo pathological processing and histological examination, followed by joint analysis with multi-omics data. The CLOMB study was designed to collect multidimensional clinical and multiomics data of AIS-LVO patients. The rich data set with deep phenotypes and multiomics analysis of patients will facilitate the study of more stroke-related scientific questions, which include but not limit to the following: 1. Thrombus and microenvironment multiomics profiles 2. Identification of post-stroke therapeutic target 3. Establishing new prediction and risk stratification models based on multiomics data 4. Exploring new diagnostic approach for AIS-LVO etiologies