El Hafi Bassam, Jean-Pierre Fabrice, O'Toole George A
Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
mBio. 2025 Sep 12:e0159425. doi: 10.1128/mbio.01594-25.
Cystic fibrosis (CF) is a multi-organ genetic disorder that affects more than 100,000 individuals worldwide. Chronic respiratory infections are among the hallmark complications associated with CF lung disease, and these infections are often due to polymicrobial communities that colonize the airways of persons with CF (pwCF). Such infections are a significant cause of morbidity and mortality, with studies indicating that pwCF who are co-infected with more than one organism experience more frequent pulmonary exacerbations, leading to a faster decline in lung function. Previous work established an CF-relevant polymicrobial community model composed of , , , and cannot survive in monoculture in this model. In this study, we leverage this model to investigate the interactions between and , allowing us to understand the mechanisms by which the two microbes interact to support the growth of specifically in the context of the polymicrobial community. We demonstrate a cross-feeding mechanism whereby metabolizes mucin into short-chain fatty acids that are, in turn, utilized by and converted into metabolites (succinate, acetate) that are cross-fed to , supporting its survival in the CF lung-relevant model. This work highlights the potential metabolic interactions among microbes in CF infections.IMPORTANCEPolymicrobial interactions impact disease outcomes in pwCF who suffer from chronic respiratory infections. Previous work established a CF-relevant polymicrobial community model that allows experimental probing of these microbial interactions to achieve a better understanding of the factors that govern the mechanisms by which CF lung microbes influence each other. In this study, we investigate the interaction between and , which are two highly prevalent and abundant CF lung microbes. We uncover a mechanism that involves complex cross-feeding between and to support the growth of the latter.
囊性纤维化(CF)是一种多器官遗传性疾病,全球有超过10万人受其影响。慢性呼吸道感染是与CF肺部疾病相关的标志性并发症之一,这些感染通常是由于在CF患者(pwCF)气道中定植的多种微生物群落引起的。此类感染是发病和死亡的重要原因,研究表明,同时感染多种病原体的pwCF肺部更容易急性加重,导致肺功能更快下降。先前的研究建立了一个与CF相关的多种微生物群落模型,该模型由[具体微生物1]、[具体微生物2]、[具体微生物3]和[具体微生物4]组成,[具体微生物1]在该模型的单一培养中无法存活。在本研究中,我们利用这个模型来研究[具体微生物1]和[具体微生物2]之间的相互作用,从而了解这两种微生物在多种微生物群落背景下相互作用以支持[具体微生物1]生长的机制。我们证明了一种交叉喂养机制,即[具体微生物1]将粘蛋白代谢为短链脂肪酸,这些短链脂肪酸又被[具体微生物2]利用并转化为代谢物(琥珀酸盐、乙酸盐),然后交叉喂养给[具体微生物1],支持其在与CF肺部相关的模型中存活。这项工作突出了CF感染中微生物之间潜在的代谢相互作用。
重要性
多种微生物相互作用影响患有慢性呼吸道感染的pwCF的疾病结局。先前的研究建立了一个与CF相关的多种微生物群落模型,该模型允许对这些微生物相互作用进行实验性探究,以便更好地理解控制CF肺部微生物相互影响机制的因素。在本研究中,我们研究了[具体微生物1]和[具体微生物2]之间的相互作用,这两种微生物是CF肺部中高度普遍且数量众多的微生物。我们发现了一种机制,该机制涉及[具体微生物1]和[具体微生物2]之间复杂的交叉喂养,以支持后者的生长。