Easter Quinn T, Alvarado-Martinez Zabdiel, Kunz Meik, Matuck Bruno Fernandes, Rupp Brittany T, Weaver Theresa, Ren Zhi, Tata Aleksandra, Caballero-Perez Juan, Oscarson Nick, Hasuike Akira, Ghodke Ameer N, Kimple Adam J, Tata Purushothama R, Randell Scott H, Koo Hyun, Ko Kang I, Byrd Kevin M
Lab of Oral & Craniofacial Innovation (LOCI), ADA Science & Research Institute, Gaithersburg, MD, USA.
The Bioinformatics CRO, Orlando, FL, USA.
bioRxiv. 2024 Oct 9:2024.10.08.617279. doi: 10.1101/2024.10.08.617279.
The upper airway, particularly the nasal and oral mucosal epithelium, serves as a primary barrier for microbial interactions throughout life. Specialized niches like the anterior nares and the tooth are especially susceptible to dysbiosis and chronic inflammatory diseases. To investigate host-microbial interactions in mucosal epithelial cell types, we reanalyzed our single-cell RNA sequencing atlas of human oral mucosa, identifying polybacterial signatures (20% Gram-positive, 80% Gram-negative) within both epithelial- and stromal-resident cells. This analysis revealed unique responses of bacterial-associated epithelia when compared to two inflammatory disease states of mucosa. Single-cell RNA sequencing, hybridization, and immunohistochemistry detected numerous persistent macromolecules from Gram-positive and Gram-negative bacteria within human oral keratinocytes (HOKs), including bacterial rRNA, mRNA and glycolipids. Epithelial cells with higher concentrations of rRNA and glycolipids exhibited enhanced receptor-ligand signaling . HOKs with a spectrum of polybacterial intracellular macromolecular (PIM) concentrations were challenged with purified exogenous lipopolysaccharide, resulting in the synergistic upregulation of select innate (, ) and adaptive (, ) epikines. Notably, endogenous lipoteichoic acid, rather than lipopolysaccharide, directly correlated with epikine expression and . Application of the Drug2Cell algorithm to health and inflammatory disease data suggested altered drug efficacy predictions based on PIM detection. Our findings demonstrate that PIMs persist within mucosal epithelial cells at variable concentrations, linearly driving single-cell effector cytokine expression and influencing drug responses, underscoring the importance of understanding host-microbe interactions and the implications of PIMs on cell behavior in health and disease at single-cell resolution.
上呼吸道,尤其是鼻和口腔黏膜上皮,在整个生命过程中作为微生物相互作用的主要屏障。像前鼻孔和牙齿这样的特殊生态位特别容易发生生态失调和慢性炎症性疾病。为了研究黏膜上皮细胞类型中的宿主-微生物相互作用,我们重新分析了人类口腔黏膜的单细胞RNA测序图谱,在驻留上皮细胞和基质细胞中识别出多细菌特征(20%革兰氏阳性菌,80%革兰氏阴性菌)。与黏膜的两种炎症性疾病状态相比,该分析揭示了细菌相关上皮细胞的独特反应。单细胞RNA测序、杂交和免疫组织化学检测到人类口腔角质形成细胞(HOKs)内来自革兰氏阳性菌和革兰氏阴性菌的大量持久性大分子,包括细菌rRNA、mRNA和糖脂。rRNA和糖脂浓度较高的上皮细胞表现出增强的受体-配体信号传导。用纯化的外源性脂多糖刺激具有一系列多细菌细胞内大分子(PIM)浓度的HOKs,导致选定的先天( , )和适应性( , )表皮因子协同上调。值得注意的是,内源性脂磷壁酸而非脂多糖与表皮因子表达 和 直接相关。将Drug2Cell算法应用于健康和炎症性疾病数据表明,基于PIM检测,药物疗效预测发生了改变。我们的研究结果表明,PIMs以可变浓度持续存在于黏膜上皮细胞内,线性驱动单细胞效应细胞因子表达并影响药物反应,强调了在单细胞分辨率下理解宿主-微生物相互作用以及PIMs对健康和疾病中细胞行为的影响的重要性。