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10K:以色列一项大规模的前瞻性纵向研究。

10 K: a large-scale prospective longitudinal study in Israel.

机构信息

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

出版信息

Eur J Epidemiol. 2021 Nov;36(11):1187-1194. doi: 10.1007/s10654-021-00753-5. Epub 2021 May 15.

DOI:10.1007/s10654-021-00753-5
PMID:33993378
Abstract

The 10 K is a large-scale prospective longitudinal cohort and biobank that was established in Israel. The primary aims of the study include development of prediction models for disease onset and progression and identification of novel molecular markers with a diagnostic, prognostic and therapeutic value. The recruitment was initiated in 2018 and is expected to complete in 2021. Between 28/01/2019 and 13/12/2020, 4,629 from the expected 10,000 participants were recruited (46 %). Follow-up visits are scheduled every year for a total of 25 years. The cohort includes individuals between the ages of 40 and 70 years. Predefined medical conditions were determined as exclusions. Information collected at baseline includes medical history, lifestyle and nutritional habits, vital signs, anthropometrics, blood tests results, Electrocardiography, Ankle-brachial pressure index (ABI), liver US and Dual-energy X-ray absorptiometry (DXA) tests. Molecular profiling includes transcriptome, proteome, gut and oral microbiome, metabolome and immune system profiling. Continuous measurements include glucose levels using a continuous glucose monitoring device for 2 weeks and sleep monitoring by a home sleep apnea test device for 3 nights. Blood and stool samples are collected and stored at - 80 °C in a storage facility for future research. Linkage is being established with national disease registries.

摘要

10K 是一个大型的前瞻性纵向队列和生物库,建立于以色列。该研究的主要目的包括开发疾病发病和进展的预测模型,以及鉴定具有诊断、预后和治疗价值的新型分子标志物。招募工作于 2018 年开始,预计于 2021 年完成。截至 2019 年 1 月 28 日至 2020 年 12 月 13 日,预期招募的 10000 人中已有 4629 人(46%)完成招募。随访计划每年进行一次,共 25 年。该队列包括年龄在 40 至 70 岁之间的个体。预先确定的医疗条件被视为排除因素。基线时收集的信息包括病史、生活方式和营养习惯、生命体征、人体测量学、血液检查结果、心电图、踝肱血压指数(ABI)、肝脏超声和双能 X 射线吸收法(DXA)检查。分子谱分析包括转录组、蛋白质组、肠道和口腔微生物组、代谢组和免疫系统谱分析。连续测量包括使用连续血糖监测仪监测 2 周的血糖水平和使用家庭睡眠呼吸暂停测试设备监测 3 晚的睡眠情况。采集血样和粪便样本并在 -80°C 的储存设施中储存,以备将来进行研究。正在与国家疾病登记处建立联系。

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