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Abstract Number: 1329

A Quantitative Framework for Evaluating Drug Combination Treatment in Rat Collagen-Induced-Arthritis Model

Amy Meng1, Julie Di Paolo2, Shringi Sharma3 and Anita Mathias3, 1Clinical Pharmacology, Gilead Sciences, Foster City, CA, 2Immunology and Inflammation Biology, Gilead Sciences, Foster City, CA, 3Gilead Sciences, Foster City, CA

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Animal models, combination therapies and rheumatoid arthritis (RA), Janus kinase (JAK), SYK

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Session Information

Date: Monday, November 6, 2017

Title: Rheumatoid Arthritis – Animal Models Poster II

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose: Filgotinib (FIL), a JAK1 inhibitor, and GS-9876, a SYK inhibitor, are currently being evaluated as once-daily monotherapy in subjects with rheumatoid arthritis (RA). A preclinical study was conducted to compare the efficacy of FIL + GS-9876 in combination versus monotherapy of each agent  in a rat collagen-induced arthritis (CIA) model. A semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model was developed to 1) characterize the exposure (plasma concentration)-response (ankle diameter) relationship following mono- and combination therapy, and 2) provide a quantitative assessment of  PD interaction between the two drugs.

Methods: Monotherapy (FIL at 3 doses1,3,or 5 mg/kg, QD or GS-9876 5 mg/kg BID) and the combination (FIL 1, 3 mg/kg QD and GS-9876 5mg/kg, BID) treatments were administered to CIA rats. FIL was co-administered with the active metabolite to reflect the PK profile in humans. Dexamethasone at 0.075 mg/kg QD was the positive control. Dosing was initiated at the peak of inflammation (day 17-20) and continued through the chronic disease phase until day 34. Population PK models were developed to characterize FIL and GS-9876 concentration versus time profiles. Disease progression, assessed as the change in ankle diameter over time, was described by equation 1 (indirect response model), and drug effect (monotherapy and combination) by equations 2 and 3 (Figure 1; Ref: Minto et al., 2000). The analysis was conducted using a nonlinear mixed-effects modeling approach (NONMEM 7.3) and R v3.3.2 was used for processing/visualizing data.

Results: The model adequately described the PK of FIL/GS-9876 and the exposure-response relationship, following monotherapy and combination therapy. The results indicated a dose/exposure dependent reduction in ankle paw diameter following FIL monotherapy.  Furthermore, a synergistic effect on efficacy was observed (based on an estimated β value >1) following treatment with the combination compared with either agent alone. Simulations (of various dose levels) indicated an exposure dependent increase in efficacy following combination treatment, with a plateau at doses ≥ FIL 3 mg/kg QD + GS-9876 5 mg/kg BID.

Conclusion: The PK/PD model demonstrated a synergistic interaction between FIL and GS-9876, thereby suggesting the utility of simultaneously targeting the JAK and SYK receptor pathways for RA. Furthermore, the model provides a quantitative framework for screening various drug combinations (of two or more drugs) in CIA rats and may help in selecting efficacious combinations for clinical assessment.

References: Minto, Charles F., et al. "Response surface model for anesthetic drug interactions." The Journal of the American Society of Anesthesiologists 92.6 (2000): 1603-1616.


Disclosure: A. Meng, Gilead Sciences, 3,Gilead Sciences, 1; J. Di Paolo, Gilead Sciences, 3,Gilead Sciences, 1; S. Sharma, Gilead Sciences, 3,Gilead Sciences, 1; A. Mathias, Gilead Sciences, 3,Gilead Sciences, 1.

To cite this abstract in AMA style:

Meng A, Di Paolo J, Sharma S, Mathias A. A Quantitative Framework for Evaluating Drug Combination Treatment in Rat Collagen-Induced-Arthritis Model [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/a-quantitative-framework-for-evaluating-drug-combination-treatment-in-rat-collagen-induced-arthritis-model/. Accessed .
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