Nicholson Jeremy K
The Australian National Phenome Center and the Health Futures Institute, Murdoch University, Harry Perkins Building, Robert Warren Drive, Murdoch Perth, WA 6150 Australia.
Institute of Global Health Innovation, Imperial College London, Level 1, Faculty Building South Kensington Campus, London, SW7 2NA UK.
Phenomics. 2021;1(4):143-150. doi: 10.1007/s43657-021-00020-3. Epub 2021 Jul 22.
SARS COV-2 infection causes acute and frequently severe respiratory disease with associated multi-organ damage and systemic disturbances in many biochemical pathways. Metabolic phenotyping provides deep insights into the complex immunopathological problems that drive the resulting COVID-19 disease and is also a source of novel metrics for assessing patient recovery. A multiplatform metabolic phenotyping approach to studying the pathology and systemic metabolic sequelae of COVID-19 is considered here, together with a framework for assessing post-acute COVID-19 Syndrome (PACS) that is a major long-term health consequence for many patients. The sudden emergence of the disease presents a biological discovery challenge as we try to understand the pathological mechanisms of the disease and develop effective mitigation strategies. This requires technologies to measure objectively the extent and sub-phenotypes of the disease at the molecular level. Spectroscopic methods can reveal metabolic sub-phenotypes and new biomarkers that can be monitored during the acute disease phase and beyond. This approach is scalable and translatable to other pathologies and provides as an exemplar strategy for the investigation of other emergent zoonotic diseases with complex immunological drivers, multi-system involvements and diverse persistent symptoms.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染会引发急性且常常较为严重的呼吸道疾病,并伴有多器官损伤以及许多生化途径中的系统性紊乱。代谢表型分析能深入洞察导致新型冠状病毒肺炎(COVID-19)疾病的复杂免疫病理问题,同时也是评估患者康复情况的新指标来源。本文探讨了一种多平台代谢表型分析方法,用于研究COVID-19的病理学和全身代谢后遗症,以及一个评估急性后COVID-19综合征(PACS)的框架,PACS是许多患者面临的主要长期健康后果。该疾病的突然出现带来了生物学发现挑战,因为我们试图了解其病理机制并制定有效的缓解策略。这需要能够在分子水平客观测量疾病程度和亚表型的技术。光谱方法可以揭示代谢亚表型和新的生物标志物,这些标志物可在急性疾病阶段及之后进行监测。这种方法具有可扩展性,能够转化应用于其他病理学研究,并为调查其他具有复杂免疫驱动因素、多系统受累和多样持续症状的新发人畜共患病提供了一个范例策略。