Laboratory of Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Singapore, Singapore.
Department of Microbiology, Singapore General Hospital, Singapore, Singapore.
Nat Microbiol. 2022 Apr;7(4):486-496. doi: 10.1038/s41564-022-01089-w. Epub 2022 Apr 1.
Lessons learnt from the COVID-19 pandemic include increased awareness of the potential for zoonoses and emerging infectious diseases that can adversely affect human health. Although emergent viruses are currently in the spotlight, we must not forget the ongoing toll of morbidity and mortality owing to antimicrobial resistance in bacterial pathogens and to vector-borne, foodborne and waterborne diseases. Population growth, planetary change, international travel and medical tourism all contribute to the increasing frequency of infectious disease outbreaks. Surveillance is therefore of crucial importance, but the diversity of microbial pathogens, coupled with resource-intensive methods, compromises our ability to scale-up such efforts. Innovative technologies that are both easy to use and able to simultaneously identify diverse microorganisms (viral, bacterial or fungal) with precision are necessary to enable informed public health decisions. Metagenomics-enabled surveillance methods offer the opportunity to improve detection of both known and yet-to-emerge pathogens.
从 COVID-19 大流行中吸取的教训包括提高对人畜共患病和新出现的传染病的认识,这些疾病可能对人类健康造成不利影响。虽然新兴病毒目前备受关注,但我们决不能忘记细菌病原体对抗微生物药物耐药性以及由媒介传播、食源性和水源性疾病造成的持续发病率和死亡率。人口增长、地球变化、国际旅行和医疗旅游都导致传染病爆发的频率不断增加。因此,监测至关重要,但微生物病原体的多样性,加上资源密集型方法,削弱了我们扩大此类工作的能力。需要既易于使用又能够精确同时识别多种微生物(病毒、细菌或真菌)的创新技术,以做出明智的公共卫生决策。基于宏基因组学的监测方法提供了提高对已知和新出现病原体的检测的机会。