Douzi Wafa, Bon Delphine, Suikkanen Sara, Soukkio Paula, Boildieu Nadège, Nenonen Arja, Hupli Markku, Kukkonen-Harjula Katriina, Dugué Benoit
Laboratoire «Mobilité, Vieillissement, Exercice (MOVE)-UR 20296», Faculté des Sciences du Sport, Université de Poitiers, 8 Allée Jean Monnet, 86000 Poitiers, France.
INSERM U1313, (IRMETIST), Poitiers, France and Faculty of Medicine and Pharmacy, University of Poitiers, 86000 Poitiers, France.
Metabolites. 2022 Aug 12;12(8):744. doi: 10.3390/metabo12080744.
In these times of precision and personalized medicine, profiling patients to identify their needs is crucial to providing the best and most cost-effective treatment. In this study, we used urine metabolomics to explore the characterization of older adults with hip fractures and to explore the forecasting of patient outcomes. Overnight urine specimens were collected from 33 patients (mean age 80 ± 8 years) after hip fracture surgery during their stay at a rehabilitation hospital. The specimens were analyzed with H NMR spectroscopy. We performed a metabolomics study regarding assessments of frailty status, Functional Independence Measure (FIM), and Short Physical Performance Battery (SPPB). The main metabolic variations concerned 10 identified metabolites: paracetamol derivatives (4 peaks: 2.15 ppm; 2.16 ppm; 7.13 ppm and 7.15 ppm); hippuric acid; acetate; acetone; dimethylamine; glycine; alanine; lactate; valine; TMAO. At baseline, the urinary levels of these metabolites were significantly higher (i) in frail compared with non-frail patients, (ii) in persons with poorer FIM scores, and (iii) in persons with poorer compared SPPB scores. Our findings suggested that patients with increased levels of urine metabolites associated with metabolic, inflammatory, and renal disorders presented clear signs of frailty, impaired functional independence, and poor physical performance. Metabolomics could be a valuable tool to further characterize older adults, especially after major medical events.
在精准医学和个性化医疗的时代,对患者进行分析以确定其需求对于提供最佳且最具成本效益的治疗至关重要。在本研究中,我们使用尿液代谢组学来探索髋部骨折老年人的特征,并预测患者的预后。在一家康复医院住院期间,收集了33例髋部骨折手术后患者(平均年龄80±8岁)的过夜尿液标本。用核磁共振氢谱对标本进行分析。我们进行了一项关于衰弱状态评估、功能独立性测量(FIM)和简短体能测试电池(SPPB)的代谢组学研究。主要的代谢变化涉及10种已鉴定的代谢物:对乙酰氨基酚衍生物(4个峰:2.15 ppm;2.16 ppm;7.13 ppm和7.15 ppm);马尿酸;乙酸盐;丙酮;二甲胺;甘氨酸;丙氨酸;乳酸;缬氨酸;氧化三甲胺。在基线时,这些代谢物的尿液水平在以下人群中显著更高:(i)衰弱患者与非衰弱患者相比;(ii)FIM评分较差的人;(iii)SPPB评分较差的人。我们的研究结果表明,尿液代谢物水平升高与代谢、炎症和肾脏疾病相关的患者表现出明显的衰弱迹象、功能独立性受损和身体表现不佳。代谢组学可能是进一步表征老年人,尤其是在重大医疗事件之后的一个有价值的工具。