Global profiling of AMRs genes in gut microbiota

The purpose of our project is to investigate global patterns of antimicrobial resistance (AMR) through the analysis of publicly available metagenomic datasets. AMR poses a major threat to global health by making infections increasingly difficult to treat, leading to longer illnesses, higher healthcare costs, and increased mortality.

In this study, we aim to identify antimicrobial resistance genes (ARGs) in microbial communities sourced from diverse environments and geographical locations. This will help us understand the distribution and variation of resistance traits across regions. We will also examine other functional genes related to microbial activity, such as those involved in carbohydrate metabolism, to explore potential associations with resistance mechanisms. We want to compare the metagenomically identifed antibiotic resistance patterns with antibiotics usage data from different regions

By comparing microbial profiles across multiple countries, this research seeks to reveal trends and regional differences that can inform clinical and public health decision-making. The findings may contribute to improved patient outcomes by supporting more targeted treatment strategies. Additionally, they will aid antimicrobial stewardship efforts by identifying areas with higher resistance burdens and guiding appropriate antibiotic use. Overall, the study will provide valuable insights for public health surveillance and help strengthen health systems through evidence-based planning and intervention.

本项目旨在通过分析公开可用的宏基因组（metagenomic）数据集，探究抗菌药物耐药性（antimicrobial resistance, AMR）的全球分布模式。抗菌药物耐药性会使感染愈发难以治愈，引发病程延长、医疗成本攀升及死亡率上升，对全球公共健康构成重大威胁。

本研究旨在从不同环境与地理来源的微生物群落中鉴定抗菌药物耐药基因（antimicrobial resistance genes, ARGs），以此阐明耐药性状在各区域的分布与变异特征。此外，我们还将分析与微生物活性相关的其他功能基因——例如参与碳水化合物代谢的基因——以探索其与耐药机制间的潜在关联。同时，我们会将宏基因组鉴定得到的抗生素耐药模式与不同地区的抗生素使用数据进行对比。

通过对比多个国家的微生物群落特征，本研究旨在揭示耐药性的流行趋势与区域差异，为临床与公共卫生决策提供参考依据。本研究结果可助力制定更具针对性的治疗方案，改善患者预后；同时，通过识别耐药负担较高的区域并指导合理使用抗生素，还能推动抗菌药物管理工作。总体而言，本研究将为公共卫生监测提供宝贵见解，并通过循证规划与干预措施助力强化公共卫生体系。