vasoactive-intestinal-peptide and Sarcoidosis

We introduce a methodology to efficiently exploit natural-language expressed biomedical knowledge for repurposing existing drugs towards diseases for which they were not initially intended. Leveraging on developments in Computational Linguistics and Graph Theory, a methodology is defined to build a graph representation of knowledge, which is automatically analysed to discover hidden relations between any drug and any disease: these relations are specific paths among the biomedical entities of the graph, representing possible Modes of Action for any given pharmacological compound. We propose a measure for the likeliness of these paths based on a stochastic process on the graph. This measure depends on the abundance of indirect paths between a peptide and a disease, rather than solely on the strength of the shortest path connecting them. We provide real-world examples, showing how the method successfully retrieves known pathophysiological Mode of Action and finds new ones by meaningfully selecting and aggregating contributions from known bio-molecular interactions. Applications of this methodology are presented, and prove the efficacy of the method for selecting drugs as treatment options for rare diseases.

Topics: Benzamides; Computational Biology; Computer Graphics; Creutzfeldt-Jakob Syndrome; Drug Repositioning; Humans; Imatinib Mesylate; Models, Theoretical; Piperazines; Pyrimidines; Sarcoidosis; Vasoactive Intestinal Peptide

The neuropeptide gastrin releasing peptide (GRP) is present in the lung, and functions as a modulator of tissue growth and repair in fibrotic processes, or as a modulator of cell movement and differentiation in various inflammatory processes, including granulomatous ones. In idiopathic pulmonary fibrosis (IPF), changes in the bronchoalveolar lavage (BAL) content of GRP can be expected. We measured GRP-like immunoreactive substances (GRP-IS) and another neuropeptide, vasoactive intestinal peptide (VIP)-IS in BAL by enzyme immunoassay. Our results showed a decrease in BAL GRP-IS in patients with IPF (26.5 +/- 5.5 pg.mg-1 protein) and sarcoidosis (35.9 +/- 9.2 pg.mg-1), compared to healthy nonsmokers (63.4 +/- 9.0 pg.mg-1). When data were expressed as pg.ml-1 BAL fluid recovered, a decrease was only seen in IPF, not in sarcoidosis. The levels of VIP-IS in BAL were not different between the groups studied. Increased protein levels in BAL had no correlation with the levels of GRP-IS or VIP-IS in BAL. Furthermore, BAL neutrophil percentages had no correlation with the levels of GRP-IS in BAL of patients with IPF. Using reversed phase high performance liquid chromatography (HPLC), several kinds of GRP-IS were detected in BAL. These findings suggest that the decreased level of GRP-IS in BAL may reflect a loss of GRP-producing cells due to chronic lung injury and fibrosis in patients with IPF.

Topics: Adult; Bronchoalveolar Lavage Fluid; Chromatography, High Pressure Liquid; Female; Gastrin-Releasing Peptide; Gastrointestinal Hormones; Humans; Immunoenzyme Techniques; Lung Diseases; Male; Middle Aged; Peptides; Pulmonary Fibrosis; Sarcoidosis; Smoking; Vasoactive Intestinal Peptide