伴随性疾病混了人类疾病的代谢学研究
Madis Jaagura1, Jaanika Kronberg1, Anu Reigo1
1Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
Scientific reports
|October 22, 2024
概括
多种疾病,多种慢性疾病的存在,影响了代谢物风险. 确定了特定疾病的肠道微生物组预测因素,突出显示了宿主微生物群相互作用在慢性疾病中的作用.
科学领域:
- 代谢学 代谢学 代谢学
- 微生物组研究的研究.
- 慢性疾病流行病学 慢性疾病流行病学
背景情况:
- 多重疾病,即多种慢性疾病的同时发生,是全球日益严重的健康问题.
- 主体微生物群相互作用及其代谢物与肥胖,糖尿病和心血管疾病等慢性疾病有关.
- 迫切需要有效的多病症诊断和治疗策略.
研究的目的:
- 调查共存的慢性疾病如何影响血代谢物的风险估计.
- 确定疾病特异性代谢物预测因子及其与肠道微生物组的关联.
- 评估对伴随性疾病的计算对代谢物风险预测的影响.
主要方法:
- 使用液态染色体质谱法 (LC-MS) 来分析来自爱沙尼亚生物银行队列的919个人的1375种血代谢物.
- 利用每年链接的国家电子健康记录 (EHR) 来识别事故病例中的并发症,并对14种常见的慢性疾病进行控制.
- 交叉引用已识别的代谢物预测因子与有关肠道微生物组关联的现有文献.
主要成果:
- 在13种慢性疾病中观察到254个关联.
- 92%的确定的预测因子是疾病特异性的.
- 93%的预测因子与肠道微生物群有关,这表明微生物代谢产物起着重要作用.
- 考虑到并发病症减少了跨疾病的常见代谢物预测指标.
结论:
- 这项研究强调了疾病特异性分析对于理解多病症的重要性.
- 生物库链接的EHR数据对于多因素慢性疾病的回顾性和前性分析非常有价值.
- 宿主微生物群相互作用在多病症和代谢物风险的背景下至关重要.
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