发表机构
Rutgers University; Dartmouth College（罗格斯大学; 达特茅斯学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究从社交网络视角，通过广义洛特卡-沃尔泰拉模型结合宿主间微生物共享，分析微生物动态，明确微生物共享产生长期影响的条件，揭示社交网络对人类微生物组的塑造作用。
AI 中文摘要
从社交网络视角研究人类微生物组，对理解宿主体内微生物动态与宿主间传播的相互作用如何影响微生物群落稳定性、宿主代谢、群体健康与营养至关重要。本文对二元社交关系及小型网络中与人类相关的微生物群落开展数学与数值分析，利用广义洛特卡-沃尔泰拉模型模拟宿主体内动态，同时纳入由社交互动驱动的宿主间微生物共享，还考虑不同宿主间微生物行为的个体差异。本研究明确了微生物共享可产生长期影响的条件，为社交网络塑造人类微生物组提供了见解。
英文摘要
A social network perspective on the human microbiome is crucial for understanding how the interplay between within-host microbial dynamics and between-host transmission influences microbial community stability, host metabolism, and population health and nutrition. Here, we provide a mathematical and numerical analysis of human-associated microbial communities in dyadic social ties and within a small network. By utilizing a generalized Lotka-Volterra model, we simulate within-host dynamics while incorporating inter-host microbial sharing driven by social interactions. Furthermore, the study accounts for individual variability in microbial behavior across different hosts. Our work identifies the conditions under which microbial sharing can have long-lasting effects, offering insights into how social networks shape the human microbiome.
