State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan Universitygrid.440773.3, Kunming, Yunnan, People's Republic of China.
Department of Cardiology, Key Laboratory of Cardiovascular Disease of Yunnan Province, Yan'an Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Microbiol Spectr. 2022 Dec 21;10(6):e0280422. doi: 10.1128/spectrum.02804-22. Epub 2022 Oct 27.
Coronary artery disease (CAD) is one of leading causes of mortality worldwide. Studies on roles that the gut microbiota plays in development of atherosclerosis or acute myocardial infarction (AMI) have been widely reported. However, the gut microbiota is affected by many factors, including age, body mass index (BMI), and hypertension, that lead to high CAD risk. However, the associations between gut microbiota and CAD development or other CAD risk factors remain unexplored. Here, we performed a 16S RNA gene sequencing analysis of 306 fecal samples collected from patients with mild coronary stenosis (MCS; = 36), stable angina (SA; = 91), unstable angina (UA; = 48), and acute myocardial infarction (AMI; = 66) and 65 non-CAD controls. Using a noise-corrected method based on principal-component analysis (PCA) and the random forest algorithm, we identified the interference with gut microbial profiling of multiple factors (including age, gender, BMI, and hypertension) that potentially contributed significantly to the development of CAD. After correction of noise interference from certain interfering factors, we found consistent indicator microbiota organisms (such as , , and ) associated with the presence of MCS, SA, and AMI. Establishment of a diagnostic model revealed better performance in early CAD than clinical indexes with indicator microbes. Furthermore, indicator microbes can improve the accuracy of clinical indexes for the diagnosis of AMI. Additionally, we found that the microbial indicators of AMI and showed consistent positive and negative correlations to the clinical indexes creatine kinase (CK) and hemoglobin (Hb), respectively. As a control indicator of AMI, was negatively correlated with CK but positively correlated with Hb. Our study discovered the effect of confounding factors on gut microbial variations and identified gut microbial indicators possibly associated with the CAD development after noise correction. Our discovered indicator microbes may have potential for diagnosis or therapy of cardiovascular disorders.
冠状动脉疾病（CAD）是全球主要的死亡原因之一。关于肠道微生物群在动脉粥样硬化或急性心肌梗死（AMI）发展中的作用的研究已经广泛报道。然而，肠道微生物群受到许多因素的影响，包括年龄、体重指数（BMI）和高血压，这些因素导致 CAD 风险增加。然而，肠道微生物群与 CAD 发展或其他 CAD 危险因素之间的关联仍未得到探索。在这里，我们对 306 份粪便样本进行了 16S RNA 基因测序分析，这些样本来自轻度冠状动脉狭窄（MCS；=36）、稳定型心绞痛（SA；=91）、不稳定型心绞痛（UA；=48）和急性心肌梗死（AMI；=66）患者以及 65 名非 CAD 对照。使用基于主成分分析（PCA）和随机森林算法的噪声校正方法，我们确定了多种因素（包括年龄、性别、BMI 和高血压）对肠道微生物群谱的干扰，这些因素可能对 CAD 的发展有显著贡献。在对某些干扰因素的噪声干扰进行校正后，我们发现与 MCS、SA 和 AMI 存在一致的指示微生物群生物（如、和）。建立诊断模型显示，指示微生物在早期 CAD 中的性能优于临床指标。此外，指示微生物可以提高临床指标诊断 AMI 的准确性。此外，我们发现 AMI 的微生物指标和与临床指标肌酸激酶（CK）和血红蛋白（Hb）分别呈一致的正相关和负相关。作为 AMI 的控制指标，与 CK 呈负相关，与 Hb 呈正相关。我们的研究发现了混杂因素对肠道微生物变化的影响，并在噪声校正后确定了可能与 CAD 发展相关的肠道微生物指标。我们发现的指示微生物可能对心血管疾病的诊断或治疗具有潜在的应用价值。
