Alina Zhawatibai, Huanbing Liu, An Xie, He Zhou, Jingwei Jiang, Na Yuan, Jun Wang, Chuancai Dan, Sujun Li, Shu Wang
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We examined the correlation between metabolomic results, aging-related blood tests, and clinical assessments. Statistical analysis and pathway analysis were used to identify key metabolic alterations.</p><p><strong>Results: </strong>The metabolomics analysis identified 914 metabolites matching in the human metabolome database, with 293 metabolites significantly correlated with age. Metabolomic profiles showed distinct alterations in older adults, with significant metabolic changes observed in the Old-Old group, particularly in pathways related to Lipid Metabolism, Sphingolipid Signaling, and Fatty Acid Metabolism. A new age classification based on metabolic profiles revealed significant differences in frailty risks across groups, with metabolic signatures linked to poor balance and fall risks.</p><p><strong>Conclusion: </strong>Metabolomics offers a promising approach to identify early biomarkers of frailty, balance impairment, and fall risks in older adults. 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引用次数: 0
摘要
引言：全球人口老龄化对医疗保健提出了重大挑战，虚弱、平衡障碍和跌倒风险是突出的问题。然而，传统的临床评估往往不能发现这些疾病的早期迹象。本研究旨在探索代谢组学在早期识别与老年人虚弱、平衡不良和跌倒风险相关的生物标志物方面的潜力。方法：我们使用非靶向代谢组学分析分析了110名年龄在25岁至98岁之间的参与者的血浆样本。临床评估包括日常生活工具活动（IADL）、Morse跌倒风险量表、Timed Up and Go （TUG）、Fried衰弱标准等。我们检查了代谢组学结果、与衰老相关的血液检查和临床评估之间的相关性。统计分析和途径分析用于确定关键的代谢改变。结果：代谢组学分析鉴定出914种代谢物与人类代谢组数据库匹配，其中293种代谢物与年龄显著相关。代谢组学特征在老年人中显示出明显的变化，在Old-Old组中观察到显著的代谢变化，特别是在脂质代谢、鞘脂信号和脂肪酸代谢相关的途径中。一项基于代谢特征的新年龄分类揭示了各组之间脆弱风险的显着差异，代谢特征与平衡能力差和跌倒风险有关。结论：代谢组学为识别老年人虚弱、平衡障碍和跌倒风险的早期生物标志物提供了一种有希望的方法。代谢特征与临床评估的整合可以导致更精确和个性化的医疗干预，改善跌倒预防策略和虚弱管理。未来需要更大规模的研究来验证这些发现，并探索代谢组学在衰老相关医疗保健中的临床应用。
Metabolomic Profiling Identifies Early Biomarkers of Frailty, Balance Impairment, and Fall Risks in Older Adults.
Introduction: The global aging population poses significant challenges to healthcare, with frailty, balance impairment, and fall risks being prominent issues. However, the conventional clinical assessments often fail to detect early signs of these conditions. This study aimed to explore the potential of Metabolomics in early identification of biomarkers related to frailty, poor balance, and fall risks in older adults.
Methods: We analyzed plasma samples from 110 participants aged 25 to 98 years using untargeted metabolomic analysis. Clinical assessments, including Instrumental Activities of Daily Living (IADL), Morse Fall Risk Scale, Timed Up and Go (TUG), Fried Frailty Criteria, etc., were performed. We examined the correlation between metabolomic results, aging-related blood tests, and clinical assessments. Statistical analysis and pathway analysis were used to identify key metabolic alterations.
Results: The metabolomics analysis identified 914 metabolites matching in the human metabolome database, with 293 metabolites significantly correlated with age. Metabolomic profiles showed distinct alterations in older adults, with significant metabolic changes observed in the Old-Old group, particularly in pathways related to Lipid Metabolism, Sphingolipid Signaling, and Fatty Acid Metabolism. A new age classification based on metabolic profiles revealed significant differences in frailty risks across groups, with metabolic signatures linked to poor balance and fall risks.
Conclusion: Metabolomics offers a promising approach to identify early biomarkers of frailty, balance impairment, and fall risks in older adults. The integration of metabolic profiles with clinical assessments could lead to more precise and personalized healthcare interventions, improving fall prevention strategies and frailty management. Future studies with larger cohorts are needed to validate these findings and explore the clinical utility of Metabolomics in aging-related healthcare.
期刊介绍：
In view of the ever-increasing fraction of elderly people, understanding the mechanisms of aging and age-related diseases has become a matter of urgent necessity. ''Gerontology'', the oldest journal in the field, responds to this need by drawing topical contributions from multiple disciplines to support the fundamental goals of extending active life and enhancing its quality. The range of papers is classified into four sections. In the Clinical Section, the aetiology, pathogenesis, prevention and treatment of agerelated diseases are discussed from a gerontological rather than a geriatric viewpoint. The Experimental Section contains up-to-date contributions from basic gerontological research. Papers dealing with behavioural development and related topics are placed in the Behavioural Science Section. Basic aspects of regeneration in different experimental biological systems as well as in the context of medical applications are dealt with in a special section that also contains information on technological advances for the elderly. Providing a primary source of high-quality papers covering all aspects of aging in humans and animals, ''Gerontology'' serves as an ideal information tool for all readers interested in the topic of aging from a broad perspective.
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