Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy.
Int J Environ Res Public Health. 2024 Oct 9;21(10):1337. doi: 10.3390/ijerph21101337.
The One Health concept underscores the interconnectedness of human, animal, and environmental health, necessitating an integrated, transdisciplinary approach to tackle contemporary health challenges. This perspective paper explores the pivotal role of genomics and bioinformatics in advancing One Health initiatives. By leveraging genomic technologies and bioinformatics tools, researchers can decode complex biological data, enabling comprehensive insights into pathogen evolution, transmission dynamics, and host-pathogen interactions across species and environments (or ecosystems). These insights are crucial for predicting and mitigating zoonotic disease outbreaks, understanding antimicrobial resistance patterns, and developing targeted interventions for health promotion and disease prevention. Furthermore, integrating genomic data with environmental and epidemiological information enhances the precision of public health responses. Here we discuss case studies demonstrating successful applications of genomics and bioinformatics in One Health contexts, such as including data integration, standardization, and ethical considerations in genomic research. By fostering collaboration among geneticists, bioinformaticians, epidemiologists, zoologists, and data scientists, the One Health approach can harness the full potential of genomics and bioinformatics to safeguard global health. This perspective underscores the necessity of continued investment in interdisciplinary education, research infrastructure, and policy frameworks to effectively employ these technologies in the service of a healthier planet.
“同一健康”理念强调了人类、动物和环境健康的相互关联性，需要采取综合的跨学科方法来应对当代健康挑战。本文探讨了基因组学和生物信息学在推进“同一健康”计划中的关键作用。通过利用基因组技术和生物信息学工具，研究人员可以解码复杂的生物数据，从而全面了解病原体的进化、传播动态以及物种和环境（或生态系统）中的宿主-病原体相互作用。这些见解对于预测和减轻人畜共患病的爆发、了解抗生素耐药模式以及促进健康和预防疾病的针对性干预至关重要。此外，将基因组数据与环境和流行病学信息整合可以提高公共卫生应对措施的精准度。在这里，我们讨论了一些成功应用基因组学和生物信息学在“同一健康”背景下的案例研究，例如在基因组研究中纳入数据集成、标准化和伦理考虑因素。通过促进遗传学家、生物信息学家、流行病学家、动物学家和数据科学家之间的合作，“同一健康”方法可以充分利用基因组学和生物信息学的潜力，以保障全球健康。这一观点强调了持续投资于跨学科教育、研究基础设施和政策框架的必要性，以便有效地利用这些技术为更健康的地球服务。
