Presentation Abstract

Program#/Poster#: 502.07
Presentation Title: Visualizing syndromic outcomes of preclinical drug trials for cervical spinal cord injury
Location: 24A
Presentation time: Tuesday, Nov 12, 2013, 9:30 AM - 9:45 AM
Topic: ++C.11.f. Spinal cord: Therapeutic strategies
Authors: *J. L. NIELSON1, J. R. HUIE1, K.-A. IRVINE2, J. C. GENSEL3, J. PAQUETTE4, P. Y. LUM4, G. E. CARLSSON5, R. R. RATAN6, M. S. BEATTIE1, J. C. BRESNAHAN1, A. R. FERGUSON1;
1Brain and Spinal Injury Ctr., Univ. of California San Francisco, San Francisco, CA; 2Neurosurg. and Comparative Med., Stanford Univ. Sch. of Med., Palo Alto, CA; 3Physiol., Univ. of Kentucky, Lexington, KY; 4Ayasdi Inc., Palo Alto, CA; 5Mathematics, Stanford Univ., Palo Alto, CA; 6Burke Rehab Institute, Weill Cornell Med. Col., White Plains, NY
Abstract: Few therapies have made the successful transition from bench to bedside for spinal cord injury (SCI), suggesting a need to better understand drug trials for this complicated disease at the preclinical level. Due to the overwhelming volume of data that exists for preclinical trials, researchers often have substantial difficulty analyzing, visualizing, and interpreting the efficacy of the drugs being tested, and often times results are not replicable across multiple studies. We have employed a novel approach to address this problem by using multivariate statistical analyses combined with topological data analysis (TDA) methods to more accurately assess the syndromic efficacy of preclinical therapeutics. As proof-of-concept we analyzed 5 blinded, placebo controlled preclinical drug trials in graded cervical SCI in rats: minocycline, methylprednisolone, ciclopirox, DMSO, and a soluble TNFR1 dose-response. Multivariate tools included principal components analysis (PCA), discriminant function analysis (DFA), and multivariate analysis of variance (MANOVA), combined with a Fisher’s Exact test. Data were further analyzed using Iris software (Ayasdi, Inc), which employs TDA methods to identify the network topology of the full set of variables simultaneously. TDA resulted in a clear distinction of separate geometric flares based on the graded injuries in the dataset (shams, hemisections, mild IH contusions, moderate NYU contusions), with clear separation of each drug trial within their respective flares. Consensus across multiple types of analyses revealed that the only successful drug trial to reliably improve forelimb function following cervical SCI was the sTNFR1 dose-response and timing trials, which had a significant impact on recovery of function related to restoration of forepaw symmetry observed across multiple types of analyses and multiple endpoints. These findings suggest that syndromic TDA can be fruitfully applied to a wide array of raw preclinical trials data to rapidly detect robust effects of experimental drugs. This approach has potential to expedite identification of candidate therapies that could be considered for clinical trials.



Disclosures:  J.L. Nielson: None. J.R. Huie: None. K. Irvine: None. J.C. Gensel: None. J. Paquette: A. Employment/Salary (full or part-time):; Ayasdi Inc. P.Y. Lum: A. Employment/Salary (full or part-time):; Ayasdi. G.E. Carlsson: E. Ownership Interest (stock, stock options, royalty, receipt of intellectual property rights/patent holder, excluding diversified mutual funds); Shareholder, Ayasdi Inc.. R.R. Ratan: None. M.S. Beattie: None. J.C. Bresnahan: None. A.R. Ferguson: None.
Keyword(s): Syndromics
Visualization
SPINAL CORD INJURY
Support: Neilsen Foundation 224308 (ARF)
NIH: F32NS079030 (JLN), R01 NS067092 (ARF), NS069537 (ARF), NS038079 (JCB and MSB), NS031193 (MSB and JCB), AG032518 (MSB and JCB), U54-ca149145-01 (GEC)
Wings for Life Foundation WFLUS008/12 (ARF)
NYSCoRE CO19772 (MSB and JCB)
NSF DMS 0905823 and DMS 096422 (GEC)




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