Chen Li, Yan Hong, Di Shanshan, Guo Chao, Zhang Huan, Zhang Shiqi, Gold Andrew, Wang Yu, Hu Ming, Wu Dayong, Johnson Caroline H, Wang Xinquan, Zhu Jiangjiang
Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
bioRxiv. 2024 Nov 16:2024.11.15.623895. doi: 10.1101/2024.11.15.623895.
Pesticides can modulate gut microbiota (GM) composition, but their specific effects on GM remain largely elusive. Our study demonstrated that pesticides inhibit or promote growth in various GM species, even at low concentrations, and can accumulate in GM to prolong their presence in the host. Meanwhile, the pesticide induced changes in GM composition are associated with significant alterations in gut bacterial metabolism that reflected by the changes of hundreds of metabolites. We generated a pesticide-GM-metabolites (PMM) network that not only reveals pesticide-sensitive gut bacteria species but also report specific metabolic changes in 306 pesticide-GM pairs (PGPs). Using an mice model, we further demonstrated a PGP's interactions and verified the inflammation-inducing effects of pesticides on the host through dysregulated lipid metabolism of microbes. Taken together, our findings generate a PMM interactions atlas, and shed light on the molecular level of how pesticides impact host health by modulating GM metabolism.
农药可以调节肠道微生物群(GM)的组成,但其对GM的具体影响仍 largely难以捉摸。我们的研究表明,即使在低浓度下,农药也会抑制或促进各种GM物种的生长,并可在GM中积累以延长其在宿主中的存在时间。同时,农药诱导的GM组成变化与肠道细菌代谢的显著改变有关,这通过数百种代谢物的变化得以反映。我们构建了一个农药-GM-代谢物(PMM)网络,该网络不仅揭示了对农药敏感的肠道细菌物种,还报告了306对农药-GM对(PGP)中的特定代谢变化。使用小鼠模型,我们进一步证明了PGP的相互作用,并通过微生物脂质代谢失调验证了农药对宿主的炎症诱导作用。综上所述,我们的研究结果生成了一个PMM相互作用图谱,并揭示了农药如何通过调节GM代谢影响宿主健康的分子水平。