Leira Yago, Mascarenhas Paulo, Blanco Juan, Sobrino Tomás, Mendes José João, Machado Vanessa, Botelho João
Periodontology Unit, Faculty of Odontology and Medicine, Medical-Surgical Research Group, Health Research Institute of Santiago de Compostela, University of Santiago de Compostela, 15706 Santiago de Compostela, Spain.
Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela, University Clinical Hospital, 15706 Santiago de Compostela, Spain.
Genes (Basel). 2021 May 20;12(5):787. doi: 10.3390/genes12050787.
The clinical interaction between stroke and periodontitis has been consistently studied and confirmed. Hence, exploring potentially new protein interactions in this association using bioinformatic strategies presents potential interest. In this exploratory study, we conducted a protein-protein network interaction (PPI) search with documented encoded proteins for both stroke and periodontitis. Genes of interest were collected via GWAS database. The STRING database was used to predict the PPI networks, first in a sensitivity purpose (confidence cut-off of 0.7), and then with a highest confidence cut-off (0.9). Genes over-representation was inspected in the final network. As a result, we foresee a prospective protein network of interaction between stroke and periodontitis. Inflammation, pro-coagulant/pro-thrombotic state and, ultimately, atheroma plaque rupture is the main biological mechanism derived from the network. These pilot results may pave the way to future molecular and therapeutic studies to further comprehend the mechanisms between these two conditions.
中风与牙周炎之间的临床相互作用已得到持续研究和证实。因此，利用生物信息学策略探索这种关联中潜在的新蛋白质相互作用具有潜在意义。在这项探索性研究中，我们对中风和牙周炎已记录的编码蛋白质进行了蛋白质-蛋白质网络相互作用（PPI）搜索。通过全基因组关联研究（GWAS）数据库收集感兴趣的基因。STRING数据库用于预测PPI网络，首先以敏感性目的（置信度阈值为0.7），然后以最高置信度阈值（0.9）进行预测。在最终网络中检查基因的过度表达。结果，我们预测了中风与牙周炎之间相互作用的前瞻性蛋白质网络。炎症、促凝血/血栓前状态以及最终的动脉粥样斑块破裂是源自该网络的主要生物学机制。这些初步结果可能为未来的分子和治疗研究铺平道路，以进一步理解这两种病症之间的机制。
