代谢组学

The metabolome is a comprehensive snapshot of all the small molecules present in an organism at a given time.
代谢组是一个生物体在某一时刻存在的所有小分子的全面视图。
Metabolomics studies help scientists understand how different diseases affect the metabolome, providing insights into potential biomarkers.
代谢组学研究有助于科学家理解不同疾病如何影响代谢组，从而揭示潜在的生物标志物。
A comparison of the healthy and diseased metabolomes can reveal changes in metabolic pathways associated with a particular condition.
比较健康和患病的代谢组可以揭示与特定状况相关的代谢途径的变化。
The development of high-throughput analytical techniques has revolutionized the analysis of the human metabolome.
高通量分析技术的发展已经彻底改变了人类代谢组的分析。
Metabolomic profiling can be used to monitor responses to environmental factors and lifestyle changes in real-time.
代谢组学成像可用于实时监测对环境因素和生活方式变化的反应。
Pharmacometabolomics combines pharmacology with metabolomics to study drug metabolism and its impact on the metabolome.
药代动力学代谢组学将药理学与代谢组学相结合，研究药物代谢及其对代谢组的影响。
Metabolites from the gut microbiome play a crucial role in shaping the host's metabolome and overall health.
肠道微生物群落产生的代谢物在塑造宿主代谢组和整体健康中起着关键作用。
Personalized medicine often relies on understanding the individual's unique metabolome to tailor treatment plans.
个性化医疗常常依赖于理解个人独特的代谢组来定制治疗方案。
Metabolomic data integration across multiple studies is essential for identifying consistent patterns and biomarkers in disease.
在多研究中整合代谢组数据对于识别疾病中的稳定模式和生物标志物至关重要。
Longitudinal metabolome studies track changes over time, providing valuable insights into disease progression and response to therapy.
随访代谢组研究追踪随时间的变化，为疾病进展和治疗反应提供宝贵见解。