Figure 11. Unbiased analysis of the potential role for RXFP3 in controlling age-related disorders. To test the validity of our hypothesis in an unbiased manner, we used reverse-database analysis using latent semantic indexing platform GeneIndexer. (A) We started by creating a database of proteins, associated with input interrogator terms of the majority of age-related disorders, which we termed the ‘Disease Continuum’. (B) We next tried to identify a potential therapeutic target for these diseases, a GPCR in particular. To do so we investigated the Disease continuum protein dataset with GPCR-related terms, to create the ‘Therapeutic continuum’. (C) The proteins were ranked according to the cosine similarity scores, and based on a correlation ranking probability score (p<0.001, ***) 37 specific proteins were identified demonstrating a large amount of correlation within the therapeutic interrogators greater than the 99th percentile. The top three ranked multidimensional proteins that could represent effective age-related disease targets were, AVPR1B, MAS1 and RLN3, the cognate ligand for the RXFP3.