Easter Quinn T, Huynh Khoa L A, Stolf Camila Schmidt, Xie Jialiu, Matuck Bruno F, Hasuike Akira, Alvarado-Martinez Zabdiel, Chen Zhaoxu, Aguiar Ribeiro Apoena, Pareek Nivedita, Azcarate-Peril Andrea M, Wu Di, Casarin Renato, Ko Kang I, Liu Jinze, Byrd Kevin M
Department of Oral and Craniofacial Molecular Biology, Philips Institute for Oral Health Research, Virginia Commonwealth University, Richmond, VA, USA.
Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
bioRxiv. 2025 Aug 1:2025.07.29.667333. doi: 10.1101/2025.07.29.667333.
Oral inflammatory diseases affect nearly half of the global population. Among them, newly defined peri-implantitis and high-grade periodontitis represent rapidly advancing inflammatory disease types, marked by relatively rapid tissue destruction. Despite their prevalence, the cell mechanisms and spatial architecture driving this severity remain poorly understood. Focusing first on peri-implantitis versus low- and moderate-grade periodontitis, we applied microbial profiling, single-cell RNA sequencing (scRNA-seq), and spatial proteomics (sp-proteomics) to uncover shared pathogenic programs linked to accelerated niche breakdown. Furthermore, to preserve spatial fidelity, each tissue was anatomically orientated along the tooth- or implant- epithelial interface, analogous sites of disease origination. Laser capture microdissection followed by microbiome analysis of unique tissue compartments revealed reduced bacterial load and diversity in peri-implantitis stroma. We then expanded our version-1 Human Periodontal Atlas by integrating newly generated peri-implantitis scRNAseq data (36-total samples; 121395-cells), revealing widespread transcriptional alterations, including oxidative stress, hypoxic, and NAD metabolism-associated signatures, primarily in a subpopulation of / post-capillary venules. We then performed high-resolution sp-proteomics (15-total samples; 337260-cells) and analyzed VEC states and associated neighborhoods via using newly developed tri-wise spatial analysis. This revealed CD34-VEC loss and CD38-VEC expansion almost exclusively in peri-implantitis. We extended this analysis to high-grade periodontitis. Mucosal biopsies from four lesion-affected and four unaffected sites within the same individuals (1:1 matched; 8-samples; 225137-cells) again demonstrated spatially restricted CD38-VEC remodeling exclusively in affected tissues, with similar vasculopathy front patterning. The findings nominate spatially distinct vasculopathy patterning as a hallmark of rapidly advancing oral inflammation and a targetable therapeutic axis.
口腔炎性疾病影响着全球近一半的人口。其中,新定义的种植体周围炎和重度牙周炎是迅速发展的炎症性疾病类型,其特点是组织破坏相对较快。尽管它们很常见,但导致这种严重程度的细胞机制和空间结构仍知之甚少。首先,针对种植体周围炎与轻、中度牙周炎,我们应用微生物分析、单细胞RNA测序(scRNA-seq)和空间蛋白质组学(sp-蛋白质组学)来揭示与加速生态位破坏相关的共同致病程序。此外,为了保持空间保真度,每个组织都沿着牙齿或种植体-上皮界面进行解剖定位,这是疾病起源的类似部位。通过激光捕获显微切割,然后对独特的组织隔室进行微生物组分析,发现种植体周围炎基质中的细菌负荷和多样性降低。然后,我们通过整合新生成的种植体周围炎scRNAseq数据(共36个样本;121395个细胞)扩展了我们的版本1人类牙周图谱,揭示了广泛的转录改变,包括氧化应激、缺氧和NAD代谢相关特征,主要存在于/毛细血管后微静脉亚群中。然后,我们进行了高分辨率sp-蛋白质组学(共15个样本;337260个细胞),并通过使用新开发的三元空间分析来分析VEC状态和相关邻域。这表明几乎仅在种植体周围炎中出现CD34-VEC丢失和CD38-VEC扩张。我们将此分析扩展到重度牙周炎。对同一受试者内四个病变受累部位和四个未受累部位的黏膜活检(1:1匹配;8个样本;225137个细胞)再次表明,仅在受累组织中存在空间受限的CD38-VEC重塑,具有相似的血管病变前沿模式。这些发现表明,空间上不同的血管病变模式是快速进展的口腔炎症的标志,也是一个可靶向治疗的轴。