Liu Lu, Zhou Qianyi, Xu Tianbao, Deng Qiufeng, Sun Yuhao, Fu Jingxiang, Chen Muxuan, Chen Xiaojiao, Ma Zhenchao, Dong Quanbin, Ma Beining, Jiao Yuwen, Zhou Yan, Wu Tingting, Zou Huayiyang, Shi Jing, Wang Yifeng, Sheng Yanhui, Tang Liming, Zheng Chao, Wu Wei, Ma Wenjun, Sun Wei, Hu Shixian, Zhou Hongwei, He Yan, Kong Xiangqing, Chen Lianmin
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University Nanjing Medical University Nanjing China.
Changzhou Medical Center, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University Nanjing Medical University Changzhou China.
Imeta. 2025 Jan 10;4(1):e268. doi: 10.1002/imt2.268. eCollection 2025 Feb.
Microbial dysbiosis, characterized by an imbalanced microbial community structure and function, has been linked to hypertension. While prior research has primarily focused on differential abundances, our study highlights the role of non-differential microbes in hypertension. We propose that non-differential microbes contribute to hypertension through their ecological interactions, as defined by co-abundances (pairs of microbes exhibiting correlated abundance patterns). Using gut microbiome data from the Guangdong Gut Microbiome Project, which includes 2355 hypertensive and 4644 non-hypertensive participants across 14 regions, we identified replicable hypertension-related microbial interactions. Notably, most co-abundances involved non-differential microbes, which were found to correlate with both hypertension severity and hypertension-related microbial metabolic pathways. These findings emphasize the importance of microbial interactions in hypertension pathogenesis and propose a novel perspective for microbiome-based therapeutic strategies.
微生物群落失调,其特征是微生物群落结构和功能失衡,已被证明与高血压有关。虽然先前的研究主要集中在差异丰度上,但我们的研究强调了非差异微生物在高血压中的作用。我们提出,非差异微生物通过它们的生态相互作用导致高血压,这种相互作用由共丰度(表现出相关丰度模式的微生物对)来定义。利用来自广东肠道微生物组计划的肠道微生物组数据,该数据包括来自14个地区的2355名高血压患者和4644名非高血压参与者,我们确定了可重复的与高血压相关的微生物相互作用。值得注意的是,大多数共丰度涉及非差异微生物,这些微生物被发现与高血压严重程度和与高血压相关的微生物代谢途径都相关。这些发现强调了微生物相互作用在高血压发病机制中的重要性,并为基于微生物组的治疗策略提出了新的视角。