Journal of International Research in Medical and Pharmaceutical Sciences

Investigation of the Roles of CRIP1 and IFITM1 as a Transcriptional Marker to Identify Periodontitis with Neural Network

Journal of International Research in Medical and Pharmaceutical Sciences, Volume 18, Issue 1, Page 20-29
DOI: 10.56557/jirmeps/2023/v18i18244

Abstract


Periodontitis is a severe gum infection that may result in tooth loss, bone loss and other critical pathological complications. The recruitment of immune cells in the affected area creates a unique microenvironment in which diverse cell types can be found. Recently, a group performed single-cell RNA sequencing (scRNA-seq) to profile the transcriptional landscape of PBMCs of periodontitis. The group identified indicators of inflammatory responses and made suggestions on therapeutic targets. Aligned scRNA-seq data was reported in the Gene Expression Omnibus (GEO) database. In this paper, the GEO data was analyzed and constructed a neural network capable of classifying periodontitis patients using CRIP1 and IFITM1 as the input to the model. The model accurately classified (> 90% accuracy) the test dataset with noise added.

Keywords:
  • Gene expression omnibus database
  • gene marker
  • neural network
  • PBMCs of periodontitis
  • single cell RNA sequencing

How to Cite

Lee , J. (2023). Investigation of the Roles of CRIP1 and IFITM1 as a Transcriptional Marker to Identify Periodontitis with Neural Network. Journal of International Research in Medical and Pharmaceutical Sciences, 18(1), 20–29. https://doi.org/10.56557/jirmeps/2023/v18i18244

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