Metabolic syndrome (MetS) is multifaceted. Risk factors include visceral adiposity, dyslipidemia, hyperglycemia, hypertension and environmental stimuli. MetS leads to an increased risk of cardiovascular disease, type 2 diabetes and stroke. Comparative studies, however, have identified heterogeneity in the pathology of MetS across groups though the etiology of these differences has yet to be elucidated. The Metabolic Syndrome Research Resource (MetSRR) described in this report is a curated database that provides access to MetS-associated biological and ancillary data and pools current and potential biomarkers of MetS extracted from relevant National Health and Nutrition Examination Survey (NHANES) data from 1999–2016. Each potential biomarker was selected following the review of over 100 peer-reviewed articles. MetSRR includes 28 demographics, survey and known MetS-related variables, including 9 curated categorical variables and 42 potentially novel biomarkers. All measures are captured from over 90 000 individuals. This biocuration effort provides increased access to curated MetS-related data and will serve as a hypothesis-generating tool to aid in novel biomarker discovery. In addition, MetSRR provides the ability to generate and export ethnic group-/race-, sex- and age-specific curated datasets, thus broadening participation in research efforts to identify clinically evaluative MetS biomarkers for disparate populations. Although there are other databases, such as BioM2MetDisease, designed to explore metabolic diseases through analysis of miRNAs and disease phenotypes, MetSRR is the only MetS-specific database designed to explore etiology of MetS across groups, through the biocuration of demographic, biological samples and biometric data.

中文翻译：

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使用国家健康和营养检查调查创建代谢综合征研究资源

代谢综合征 (MetS) 是多方面的。危险因素包括内脏肥胖、血脂异常、高血糖、高血压和环境刺激。MetS 导致心血管疾病、2 型糖尿病和中风的风险增加。然而，比较研究已经确定了不同群体 MetS 病理学的异质性，尽管这些差异的病因尚未阐明。本报告中描述的代谢综合征研究资源 (MetSRR) 是一个精选数据库，可提供对 MetS 相关生物学和辅助数据的访问，并汇集从 1999 年的相关国家健康和营养检查调查 (NHANES) 数据中提取的 MetS 当前和潜在生物标志物–2016 年。在审查了 100 多篇同行评审文章后，选择了每个潜在的生物标志物。MetSRR 包括 28 个人口统计数据，调查和已知的 MetS 相关变量，包括 9 个策划的分类变量和 42 个潜在的新生物标志物。所有措施都从超过 90 000 个人中获取。这种生物管理工作增加了对管理的 MetS 相关数据的访问，并将作为一种假设生成工具，以帮助发现新的生物标志物。此外，MetSRR 提供了生成和导出特定种族/种族、性别和年龄特定数据集的能力，从而扩大了研究工作的参与范围，以确定不同人群的临床评估 MetS 生物标志物。尽管还有其他数据库，例如 BioM2MetDisease，旨在通过分析 miRNA 和疾病表型来探索代谢疾病，但 MetSRR 是唯一一个旨在探索跨组 MetS 病因的 MetS 特定数据库，