Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital and Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan Microbiome Center, Department of Bariatric and Metabolic Surgery, Huashan Hospital, Fudan University, Shanghai, China.
EMBO Mol Med. 2023 Jun 7;15(6):e16928. doi: 10.15252/emmm.202216928. Epub 2023 May 8.
This study aimed to identify microbial signatures that contribute to the shared etiologies between chronic heart failure (CHF), type 2 diabetes, and chronic kidney disease. The serum levels of 151 microbial metabolites were measured in 260 individuals from the Risk Evaluation and Management of heart failure cohort, and it was found that those metabolites varied by an order of 10 fold. Out of 96 metabolites associated with the three cardiometabolic diseases, most were validated in two geographically independent cohorts. In all three cohorts, 16 metabolites including imidazole propionate (ImP) consistently showed significant differences. Notably, baseline ImP levels were three times higher in the Chinese compared with the Swedish cohorts and increased by 1.1-1.6 fold with each additional CHF comorbidity in the Chinese population. Cellular experiments further supported a causal link between ImP and distinct CHF relevant phenotypes. Additionally, key microbial metabolite-based risk scores were superior in CHF prognosis than the traditional Framingham or Get with the Guidelines-Heart Failure risk scores. Interactive visualization of these specific metabolite-disease links is available on our omics data server (https://omicsdata.org/Apps/REM-HF/).
本研究旨在确定导致慢性心力衰竭 (CHF)、2 型糖尿病和慢性肾脏病共同病因的微生物特征。在来自心力衰竭风险评估和管理队列的 260 个人中测量了 151 种微生物代谢产物的血清水平,发现这些代谢产物的变化幅度为 10 倍。在与这三种心血管代谢疾病相关的 96 种代谢产物中,大多数在两个地理上独立的队列中得到了验证。在所有三个队列中,16 种代谢产物包括咪唑丙酸 (ImP) 均显示出显著差异。值得注意的是,中国队列的基线 ImP 水平比瑞典队列高 3 倍,在中国人群中,每增加一种 CHF 合并症,ImP 水平就会增加 1.1-1.6 倍。细胞实验进一步支持了 ImP 与不同的 CHF 相关表型之间的因果关系。此外,基于关键微生物代谢产物的风险评分在 CHF 预后方面优于传统的 Framingham 或 Get with the Guidelines-Heart Failure 风险评分。这些特定代谢物-疾病关联的交互式可视化可在我们的组学数据服务器 (https://omicsdata.org/Apps/REM-HF/) 上获得。