Lotankar Mrunalini, Houttu Noora, Benchraka Chouaib, Lahti Leo, Laitinen Kirsi
Integrative Physiology and Pharmacology Unit, Institute of Biomedicine, Faculty of Medicine, University of Turku, Finland; Nutrition and Food Research Center, Faculty of Medicine, University of Turku, Turku, Finland.
Department of Computing, Faculty of Technology, University of Turku, Turku, Finland.
Nutr Metab Cardiovasc Dis. 2025 Sep;35(9):104095. doi: 10.1016/j.numecd.2025.104095. Epub 2025 Apr 16.
Gut microbiota may regulate metabolism but is incompletely characterized in pregnancy. Our objective was to investigate the relations using omics techniques.
In a cross-sectional setting, fecal and serum samples of 361 healthy pregnant women with overweight or obesity were analyzed with a combinatorial approach of metagenomics and targeted NMR-based metabolomics, with statistical and machine learning techniques to identify and analyze the extent to which the gut microbiota composition and predicted functions would be reflected in the serum metabolome. We identified five biclusters, each of which consisted of a set of gut microbial species and serum metabolites with correlated abundance profiles. Two of the biclusters included metabolites that have been linked to the cardiovascular health; one was linked with factors known to increase the risk i.e., various sizes of lipoprotein subclasses (VLDL and LDL), subclasses of relative lipoprotein lipid concentrations (VLDL, IDL, and LDL), apolipoprotein B, and an inflammation marker, glycoprotein acetylation. These metabolites were associated with abundances of species such as, Enterocloster bolteae and Ruminococcus gnavus. The second bicluster included metabolites linked with a reduced cardiovascular risk, such as different sizes of HDL (high-density lipoprotein), subclasses for relative lipoprotein lipid concentrations and mean diameter for HDL particles, and fatty acid ratios. These metabolites were associated with abundances of species, such as Bacteroides cellulosilyticus and Alistipes finegoldii. We did not observe any biclusters between predicted pathways and serum metabolites.
Overall, we identified five biclusters of co-abundant gut bacteria and serum metabolites , of which two were linked to pro-atherogenic and anti-atherogenic properties.
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Gov: NCT01922791.
肠道微生物群可能调节新陈代谢，但在孕期的特征尚不完全明确。我们的目标是运用组学技术研究其关系。
在一项横断面研究中，采用宏基因组学和基于核磁共振靶向代谢组学的组合方法，对361名超重或肥胖的健康孕妇的粪便和血清样本进行分析，并运用统计和机器学习技术，以识别和分析肠道微生物群组成及其预测功能在血清代谢组中的反映程度。我们识别出五个双聚类，每个双聚类都由一组具有相关丰度谱的肠道微生物物种和血清代谢物组成。其中两个双聚类包含与心血管健康相关的代谢物；一个与已知会增加风险的因素有关，即各种大小的脂蛋白亚类（极低密度脂蛋白和低密度脂蛋白）、相对脂蛋白脂质浓度的亚类（极低密度脂蛋白、中间密度脂蛋白和低密度脂蛋白）、载脂蛋白B以及一种炎症标志物糖蛋白乙酰化。这些代谢物与诸如布氏肠球菌和迟缓瘤胃球菌等物种的丰度相关。第二个双聚类包含与降低心血管风险相关的代谢物，如不同大小的高密度脂蛋白、相对脂蛋白脂质浓度的亚类以及高密度脂蛋白颗粒的平均直径，还有脂肪酸比例。这些代谢物与诸如解纤维素拟杆菌和芬氏别样杆菌等物种的丰度相关。我们未观察到预测途径与血清代谢物之间存在任何双聚类。
总体而言，我们识别出五个共丰度的肠道细菌和血清代谢物双聚类，其中两个与促动脉粥样硬化和抗动脉粥样硬化特性相关。
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美国国立医学图书馆临床试验注册库：NCT01922791 。
