Mirzaei Sahereh, DeVon Holli A, Cantor Rita M, Cupido Arjen J, Pan Calvin, Ha Sung Min, Fernandes Silva Lilian, Hilser James R, Hartiala Jaana, Allayee Hooman, Rey Federico E, Laakso Markku, Lusis Aldons J
Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90055, USA.
School of Nursing, University of California, Los Angeles, CA 90095, USA.
Metabolites. 2024 Mar 20;14(3):174. doi: 10.3390/metabo14030174.
The role of gut microbe-derived metabolites in the development of metabolic syndrome (MetS) remains unclear. This study aimed to evaluate the associations of gut microbe-derived metabolites and MetS traits in the cross-sectional Metabolic Syndrome In Men (METSIM) study. The sample included 10,194 randomly related men (age 57.65 ± 7.12 years) from Eastern Finland. Levels of 35 metabolites were tested for associations with 13 MetS traits using lasso and stepwise regression. Significant associations were observed between multiple MetS traits and 32 metabolites, three of which exhibited particularly robust associations. N-acetyltryptophan was positively associated with Homeostatic Model Assessment for Insulin Resistant (HOMA-IR) (β = 0.02, = 0.033), body mass index (BMI) (β = 0.025, = 1.3 × 10), low-density lipoprotein cholesterol (LDL-C) (β = 0.034, = 5.8 × 10), triglyceride (0.087, = 1.3 × 10), systolic (β = 0.012, = 2.5 × 10) and diastolic blood pressure (β = 0.011, = 3.4 × 10). In addition, 3-(4-hydroxyphenyl) lactate yielded the strongest positive associations among all metabolites, for example, with HOMA-IR (β = 0.23, = 4.4 × 10), and BMI (β = 0.097, = 5.1 × 10). By comparison, 3-aminoisobutyrate was inversely associated with HOMA-IR (β = -0.19, = 3.8 × 10) and triglycerides (β = -0.12, = 5.9 × 10). Mendelian randomization analyses did not provide evidence that the observed associations with these three metabolites represented causal relationships. We identified significant associations between several gut microbiota-derived metabolites and MetS traits, consistent with the notion that gut microbes influence metabolic homeostasis, beyond traditional risk factors.
肠道微生物衍生代谢物在代谢综合征(MetS)发展中的作用仍不清楚。本研究旨在评估在男性代谢综合征横断面研究(METSIM)中肠道微生物衍生代谢物与MetS特征之间的关联。样本包括来自芬兰东部的10194名随机选取的男性(年龄57.65±7.12岁)。使用套索回归和逐步回归测试了35种代谢物水平与13种MetS特征之间的关联。在多种MetS特征与32种代谢物之间观察到显著关联,其中三种表现出特别强的关联。N-乙酰色氨酸与胰岛素抵抗稳态模型评估(HOMA-IR)呈正相关(β = 0.02,P = 0.033)、与体重指数(BMI)呈正相关(β = 0.025,P = 1.3×10)、与低密度脂蛋白胆固醇(LDL-C)呈正相关(β = 0.034,P = 5.8×10)、与甘油三酯呈正相关(β = 0.087,P = 1.3×10)、与收缩压呈正相关(β = 0.012,P = 2.5×10)以及与舒张压呈正相关(β = 0.011,P = 3.4×10)。此外,3-(4-羟苯基)乳酸在所有代谢物中产生了最强的正相关,例如与HOMA-IR(β = 0.23,P = 4.4×10)和BMI(β = 0.097,P = 5.1×10)。相比之下, 3-氨基异丁酸与HOMA-IR呈负相关(β = -0.19,P = 3.8×10)以及与甘油三酯呈负相关(β = -0.12,P = 5.9×10)。孟德尔随机化分析没有提供证据表明观察到得这三种代谢物之间的关联代表因果关系。我们确定了几种肠道微生物群衍生代谢物与MetS特征之间的显著关联,这与肠道微生物影响代谢稳态的观点一致,且这种影响超出了传统风险因素的范畴。