Department of Pharmacology
Basic Science Building, Rm. 548
15 Dana Road
Valhalla, NY 10595
Dr. Inchiosa conducts much of his research in collaboration with the Departments of Anesthesiology and Surgery. Based on both laboratory studies and predictions suggested by the Harvard-MIT Broad Institute genomic data base, his lab is investigating the possible “repurposing” of the FDA-approved drug, phenoxybenzamine for treatment of a number of proliferative pathologic syndromes, including Complex Regional Pain Syndrome (CRPS), several human malignancies, and pulmonary arterial hypertension. This is based on the newly observed property of phenoxybenzamine to inhibit several histone deacetylase enzymes. The Broad Institute database also predicts significant anti-inflammatory, immunomodulatory activity for phenoxybenzamine; a study of the possible value of the drug to reduce the extent of permanent brain damage after traumatic brain injury (and stroke) is one area that is being pursued in relation to this property of the drug.
A second area of research involves the use of advanced predictive analytical techniques in anticipating various treatment outcomes. A particularly strong approach is the use of “artificial neural networks” (ANN) in the prediction of outcomes from surgical or drug treatments. The advantage of ANN over linear regression analyses is that linear multivariate regression only evaluates the individual contribution of various patient factors to an outcome measure, while ANN evaluates the importance of the interactions among the variables, as well.
A third area of research relates to a long-standing concern for the dangers associated with the unregulated use of sympathomimetic agents ("food supplements" and drugs) for the treatment of obesity.
Inchiosa MA, Jr. (2018) Anti-tumor activity of phenoxybenzamine and its inhibition of histone deacetylases. PLoS ONE 13(6): e0198514. https://doi.org/10.1371/journal.pone.0198514
R. LaFaro1, S. Pothula2, K. Kubal3, M.E. Inchiosa4, S. Yuan2, V. Pothula3, D. Maerz3, L. Montes3, S. Oleszkiewicz3, A, Yusupov2, R. Perline5, M.A. Inchiosa, Jr.2,3 Artificial Neural Network Prediction of ICU Length of Stay Following Cardiac Surgery Based on Pre-Incision Variables. PLoS One Dec 28;10(12):e0145395. doi:10.1371/journal.pone.0145395
Capoor MN, Stonemetz JL, Baird JC, Ahmed FS, Awan A, Birkenmaier C, Inchiosa, MA Jr, Magid SK, McGoldrick K, Molmenti E, Naqvi S, Parker SD, Pothula SM, Shander A, Steen RG, Urban MK, Wall J, Fischetti VA. Prothrombin Time and Activated Partial Thromboplastin Time Testing: A Comparative Effectiveness Study in a Million-Patient Sample. PLoS One Aug 11 2015;10(8):e0133317. doi: 10.1371/journal.pone.0133317.