Publications

Referred Articles (Published and Accepted)

Fang, Y., McDonald, C.M., Clemens, P.R., Gordish-Dressman, H., Illei, K., Hoffman, E.P., CINRG DNHS and Vamorolone 002/003/LTE Investigators, and Dang, U.J. (2023). Modeling early heterogeneous rates of progression in boys with Duchenne muscular dystrophy. Journal of Neuromuscular Diseases. 10(3):349–364. https://doi.org/10.3233/JND-221527

Dang, U.J., Gallaugher, M. P. B., Browne, R. P., & McNicholas, P. D. (2023). Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions. Journal of Classification, 40(1), 145–167. https://doi.org/10.1007/s00357-022-09427-7

Phung, K, McAdam, L, Ma, J, McMillan, H.J., Jackowski, S.A., Scharke, M., Matzinger, M, Shenouda, Koujok, K, Jaremko, J.L., Smit, K., Walker, S., Hartigan, C., Khan, N, Konji, V.N., MacLeay, L., Page, M., Sykes, E., Robinson, M., Alos, N, Cummings, E.A., Ho, J., Sbrocchi, A.M., Stein, R., Saleh, D., Craven, B.C., Dang, U.J., Siminoski, K., Rauch, F., Ward, L.M. (2022) Risk Factors Associated with Prevalent Vertebral Fractures in Duchenne Muscular Dystrophy. Osteoporosis International. 34, pages 147–160. https://doi.org/10.1007/s00198-022-06578-6

Guglieri, M, Clemens, PR, Perlman, SJ, Smith, EC, Horrocks, I, Finkel, RS, Mah, JK, Deconinck, N, Goemans, N, Haberlova, J, Straub, V, Mengle-Gaw LJ, Schwartz, BD, Harper, AD, Shieh, PB, De Waele, L, Castro, D, Yang, ML, Ryan, MM, McDonald, CM, Tulinius, M, Webster, R, McMillan, HJ, Kuntz, NL, Rao, VK, Baranello, G, Spinty, S, Childs, AM, Sbrocchi, AM, Selby, K, Monduy, M, Nevo, Y, Vilchez-Padilla, J, Nascimento-Osorio, A, Niks, EH, de Groot, IJM, Katsalouli, M, James, MK, van den Anker, J, Damsker, JM, Ahmet, A, Ward, LM, Jaros, M, Shale, P, Dang, UJ, Hoffman, EP (2022) Vamorolone versus placebo and prednisone in Duchenne muscular dystrophy. A randomized clinical trial. JAMA Neurology. 79(10):1005–1014. https://doi.org/10.1001/jamaneurol.2022.2480

Sun, M., Dang, U.J., Yuan, Y., Psaras, A.M., Osipitan, O., Brooks, T.A., Lu, F., Di Pasqua, A.J. (2022). Optimization of DOTAP/chol cationic liposomes for mRNA, pDNA and oligonucleotide delivery. AAPS PharmSciTech 23, no. 5 (2022): 1-10. https://doi.org/10.1208/s12249-022-02294-w

Mah, J. K., Clemens, P. R., Guglieri, M., Smith, E. C., Finkel, R. S., Tulinius, M., Nevo, Y., Ryan, M. M., Webster, R., Castro, D., Kuntz, N. L., McDonald, C. M., Damsker, J. M., Schwartz, B. D., Mengle-Gaw, L. J., Jackowski, S., Stimpson, G., Ridout, D. A., Ayyar-Gupta, V. Baranello, G., Manzur, A Y Muntoni, F, Gordish-Dressman, H, Leinonen, M, Ward, L M, Hoffman, E P, Dang, U.J., NorthStar UK Network and CINRG DNHS Investigators (2022). Efficacy and safety of vamorolone in Duchenne muscular dystrophy: A 30-month non-randomized open-label extension study. JAMA Network Open. 5(1):e2144178. https://doi.org/10.1001/jamanetworkopen.2021.44178

Roy, R., Soldin, S. J., Stolze, B., Barbieri, M., Tawalbeh, S. M., Rouhana, N., Fronczek, A. E., Nagaraju, K., van den Anker, J., Dang, U. J., & Hoffman, E. P. (2022). Acute serum protein and cytokine response of single dose of prednisone in adult volunteers. Steroids, 108953. https://doi.org/10.1016/j.steroids.2021.108953

Novak, J. S., Spathis, R., Dang, U. J., Fiorillo, A. A., Hindupur, R., Tully, C. B., Mázala, D. A. G., Canessa, E., Brown, K. J., Partridge, T. A., Hathout, Y., & Nagaraju, K. (2021). Interrogation of Dystrophin and Dystroglycan Complex Protein Turnover After Exon Skipping Therapy. Journal of Neuromuscular Diseases, 8, S383–S402. https://doi.org/10.3233/JND-210696

Ogundele M, Zhang JS, Goswami MV, Barbieri ML, Dang U.J., Novak JS, Hoffman EP, Nagaraju K, CINRG-DNHS Investigators, Hathout Y. Validation of Chemokine Biomarkers in Duchenne Muscular Dystrophy. Life. 2021; 11(8):827. https://doi.org/10.3390/life11080827

Ziemba, M., Barkhouse, M., Uaesoontrachoon, K., Giri, M., Hathout, Y., Dang, U.J., Gordish-Dressman, H., Nagaraju, K., and Hoffman, E.P., 2021. Biomarker-focused multi-drug combination therapy and repurposing trial in mdx mice. PLoS ONE, 16(2), p.e0246507. https://doi.org/10.1371/journal.pone.0246507

Tawalbeh, S., Samsel, A., Gordish-Dressman, H., Hathout, Y., Investigators, C.-D., and Dang, U.J. (2020) Comparison of Serum Pharmacodynamic Biomarkers in Prednisone-Versus Deflazacort-Treated Duchenne Muscular Dystrophy Boys. Journal of Personalized Medicine 10, 164. https://doi.org/10.3390/jpm10040164

Smith, E.C., Conklin, L.S., Hoffman, E.P., Clemens, P.R., Mah, J.K., Finkel, R.S., Guglieri, M, Tulinius, M., Nevo, Y., Ryan, M.M., Richard Webster MD, Diana Castro MD, Kuntz, N.L., Kerschner, L., Morgenroth, L.P., Arrieta, A., Shimony, M., Jaros, M., Phil Shale PhD, Gordish-Dressman, H., Hagerty, L., Dang, U.J., Damsker, J. M., Schwartz, B.D., Mengle-Gaw, L.J., McDonald, C.M. and the CINRG VBP15 and DNHS Investigators (2020). Efficacy and safety of vamorolone in Duchenne muscular dystrophy. An 18-month non-randomized open-label extension study. PLOS Medicine 17(9): e1003222. https://doi.org/10.1371/journal.pmed.1003222

Tawalbeh, S. M., Marin, W., Morgan, G. A., Dang, U. J., Hathout, Y., & Pachman, L. M. (2020). Serum protein biomarkers for juvenile dermatomyositis: a pilot study. BMC Rheumatology, 4(1), 52. https://doi.org/10.1186/s41927-020-00150-7

Dang, U. J., Ziemba, M., Clemens, P. R., Hathout, Y., Conklin, L. S., Investigators, C. V. 002/003, & Hoffman, E. P. (2020). Serum biomarkers associated with baseline clinical severity in young steroid-naïve Duchenne muscular dystrophy boys. Human Molecular Genetics, 29(15), 2481–2495. https://doi.org/10.1093/hmg/ddaa132

Hathout, Y., Liang, C., Ogundele, M., Xu, G., Tawalbeh, S. M., Dang, U. J., Hoffman, E. P., Gordish-Dressman, H., Conklin, L. S., van den Anker, J. N., Clemens, P. R., Mah, J. K., Henricson, E., & McDonald, C. (2019). Disease-specific and glucocorticoid-responsive serum biomarkers for Duchenne Muscular Dystrophy. Scientific Reports, 9(1), 12167. https://doi.org/10.1038/s41598-019-48548-9

Sun, M., Shi, Y., Dang, U. J., & di Pasqua, A. J. (2019). Phenethyl Isothiocyanate and Cisplatin Co-Encapsulated in a Liposomal Nanoparticle for Treatment of Non-Small Cell Lung Cancer. Molecules, 24(4). https://doi.org/10.3390/molecules24040801

Furman, B. L. S., Dang, U. J., Evans, B. J., & Golding, G. B. (2018). Divergent subgenome evolution after allopolyploidization in African clawed frogs (Xenopus). Journal of Evolutionary Biology, 31(12), 1945–1958. https://doi.org/https://doi.org/10.1111/jeb.13391

Mogle, B. T., Steele, J. M., Seabury, R. W., Dang, U. J., & Kufel, W. D. (2018). Implementation of a two-point pharmacokinetic AUC-based vancomycin therapeutic drug monitoring approach in patients with methicillin-resistant Staphylococcus aureus bacteraemia. International Journal of Antimicrobial Agents, 52(6), 805–810. https://doi.org/https://doi.org/10.1016/j.ijantimicag.2018.08.024

Dang, U. J., Punzo, A., McNicholas, P. D., Ingrassia, S., & Browne, R. P. (2017). Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models. Journal of Classification, 34(1), 4–34. https://doi.org/10.1007/s00357-017-9221-2

Dang, UJ, Devault, A. M., Mortimer, T. D., Pepperell, C. S., Poinar, H. N., & Golding, G. B. (2016). Estimation of Gene Insertion/Deletion Rates with Missing Data. Genetics, 204(2), 513–529. https://doi.org/10.1534/genetics.116.191973

Dang, UJ and Golding, GB (2016), markophylo: Markov Chain Analysis on Phylogenetic Trees. Bioinformatics 32 (1): 130–132. https://doi.org/10.1093/bioinformatics/btv541

Dang, UJ, Browne, RP, and McNicholas, PD (2015), Mixtures of multivariate power exponential distributions. Biometrics 71(4), 1081–1089. https://doi.org/https://doi.org/10.1111/biom.12351

Dang, UJ and McNicholas, PD (2015), Families of parsimonious finite mixtures of regression models. In: Morlini, I, Minerva T and Vichi, M, editors, Advances in Statistical Models for Data Analysis, Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing Switzerland, pp. 73–84. http://dx.doi.org/10.1007/978-3-319-17377-1_9

Dang, UJ and Bauch, CT (2011), Can interactions between timing of vaccine-altered influenza pandemic waves and seasonality in influenza complications lead to more severe outcomes?, PLoS ONE 6(8): e23580. https://doi.org/10.1371/journal.pone.0023580

Dang, U, & Bauch, CT (2010). A population biological approach to the collective dynamics of countries undergoing demographic transition. Journal of Theoretical Biology, 265(2), 167–176. https://doi.org/https://doi.org/10.1016/j.jtbi.2010.04.008

Software

Utkarsh J. Dang, Michael P. B. Gallaugher, Ryan P. Browne, and Paul D. McNicholas (2019). mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification. Package.

Utkarsh J. Dang and G. Brian Golding (2016). indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data. Package.

Utkarsh J. Dang and G. Brian Golding (2015). markophylo: Markov Chain Models for Phylogenetic Trees. Package. Vignette

Non-refereed contributions

Dang, U. J. (2014). Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models. University of Guelph.

Dang, U. J. (2011). Interactions Between Immunization Strategies and Pandemic Influenza Associated Severe Outcomes. University of Guelph.