Velapatiño-Gamarra Grace, Lana Alberto, Yévenes-Briones Humberto, Cárdenas-Valladolid Juan, Banegas José R, Rodríguez-Artalejo Fernando, López-García Esther, Caballero Francisco Félix
Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Department of Medicine, Universidad de Oviedo/ISPA, Oviedo, Spain.
Sci Rep. 2025 Jul 1;15(1):21668. doi: 10.1038/s41598-025-06683-6.
The role of metabolomic profiling on different multimorbidity patterns remains unknown. This study aims to assess the prospective relationship between plasma concentrations of amino acids and three different multimorbidity patterns: musculoskeletal and mental multimorbidity, cardiometabolic multimorbidity, and cardiopulmonary multimorbidity. The study comprised a total of 1488 older adults from the Seniors-ENRICA 2 Spanish cohort. Plasma concentrations of alanine, glutamine, glycine, histidine, branched-chain amino acids, and aromatic amino acids were measured. Generalized estimating equation models were used to assess the prospective association between amino acids and multimorbidity patterns. Higher plasma concentrations of branched-chain amino acids as leucine [Odds Ratio (OR) per 1-SD increment = 1.05, 95% confidence interval (CI) = 1.01-1.08)], isoleucine (OR = 1.05, 95% CI = 1.01-1.08), and valine (OR = 1.04, 95% CI = 1.01-1.08) were related to cardiometabolic multimorbidity, while lower concentrations of glycine (OR = 0.95, 95% CI = 0.91-0.99) and tyrosine (OR = 0.96, 95% CI = 0.93-0.98) were also associated with the same multimorbidity pattern. On the other hand, higher plasma concentrations of glutamine (OR = 1.18, 95% CI = 1.03-1.34) were related to cardiopulmonary multimorbidity. In conclusion, branched-chain amino acids may serve as risk markers of cardiometabolic multimorbidity in older adults. Plasma concentrations of other amino acid species such as glycine, tyrosine, and glutamine could also help to identify cardiometabolic and cardiopulmonary multimorbidity patterns.
代谢组学分析在不同多重疾病模式中的作用尚不清楚。本研究旨在评估血浆氨基酸浓度与三种不同多重疾病模式之间的前瞻性关系：肌肉骨骼和精神多重疾病、心脏代谢多重疾病以及心肺多重疾病。该研究共纳入了来自西班牙Seniors-ENRICA 2队列的1488名老年人。测量了血浆中丙氨酸、谷氨酰胺、甘氨酸、组氨酸、支链氨基酸和芳香族氨基酸的浓度。使用广义估计方程模型来评估氨基酸与多重疾病模式之间的前瞻性关联。较高的血浆支链氨基酸浓度，如亮氨酸[每增加1个标准差的比值比（OR）=1.05，95%置信区间（CI）=1.01-1.08]、异亮氨酸（OR=1.05，95%CI=1.01-1.08）和缬氨酸（OR=1.04，95%CI=1.01-1.08）与心脏代谢多重疾病相关，而较低的甘氨酸浓度（OR=0.95，95%CI=0.91-0.99）和酪氨酸浓度（OR=0.96，95%CI=0.93-0.98）也与相同的多重疾病模式相关。另一方面，较高的血浆谷氨酰胺浓度（OR=1.18，95%CI=1.03-1.34）与心肺多重疾病相关。总之，支链氨基酸可能是老年人心脏代谢多重疾病的风险标志物。其他氨基酸种类如甘氨酸、酪氨酸和谷氨酰胺的血浆浓度也有助于识别心脏代谢和心肺多重疾病模式。
