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Research ArticleArticle
Open Access

Assessment of the Potential for Veverimer Drug-Drug Interactions

Dawn Parsell, Jun Shao, Robert Guttendorf, Vandana Mathur, Elizabeth Li, Yick Sen Wu, Li Tsao, Scott Tabakman, Yuri Stasiv, Angela Lee, Kalpesh Biyani and Gerrit Klaerner
Drug Metabolism and Disposition July 2021, 49 (7) 490-500; DOI: https://doi.org/10.1124/dmd.121.000366
Dawn Parsell
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Jun Shao
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Robert Guttendorf
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Vandana Mathur
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Elizabeth Li
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Yick Sen Wu
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Li Tsao
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Scott Tabakman
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Yuri Stasiv
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Angela Lee
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Kalpesh Biyani
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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Gerrit Klaerner
Tricida, Inc., South San Francisco, California (D.P., J.S., Y.S.W., L.T., S.T., Y.S., A.L., K.B., G.K.); Aclairo Pharmaceutical Development Group, Vienna, Virginia (R.G.); MathurConsulting, Woodside, California (V.M.); and PharmaStat LLC, Fremont, California (E.L.)
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  • Fig. 1.
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    Fig. 1.

    Strategy to assess potential for veverimer drug-drug interactions. We used a directed approach based on the known physical and chemical characteristics of veverimer to analyze its potential for DDIs. Veverimer is too large to be systemically absorbed; therefore, its potential for DDIs is limited to effects on the absorption of other orally administered drugs either through 1) binding to veverimer or 2) transient increases in gastric pH caused by veverimer binding to HCl. To identify candidate drugs for testing with veverimer in human DDI studies, we conducted in vitro studies to identify the characteristics most likely to lead to binding to veverimer, and we evaluated the effect of veverimer on gastric pH in healthy volunteers. Results from these studies informed the selection of drugs for human DDI studies.

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    Fig. 2.

    Binding of negatively charged probes to veverimer. (A) Binding kinetics for negatively charged probes. (B) Binding of the probe molecules to veverimer as a function of size. N = 9, mean ± S.D.

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    Fig. 3.

    In vitro binding of test drugs to veverimer. The potential for binding interactions with veverimer was assessed in vitro using a set of test drugs that included 14 oral medications and two water-soluble vitamins and test matrices mimicking the pH of various GI compartments. (A) 4.5 mg/mL veverimer in SGF; (B) 9.0 mg/mL veverimer in SGF + 60 mM HCl; (C) 4.5 mg/mL veverimer in 50 mM acetate buffer; (D) 9.0 mg/mL veverimer in 100 mM acetate buffer; (E) 4.5 mg/mL veverimer in SIF; (F) 9.0 mg/mL veverimer in SIF + 50 mM PO4. The dashed line represents the threshold for test drug interaction with veverimer. PO4, phosphate. N = 6, mean ± 90% confidence interval.

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    Fig. 4.

    In vitro binding of test drugs to veverimer in the presence of physiologically relevant concentrations of chloride. Five representative test drugs from the set of 14 oral medications, one each with a positive (trimethoprim) or neutral (allopurinol) charge and three with a negative charge (aspirin, ethacrynic acid, and furosemide) were assessed for veverimer binding in six test matrices supplemented with 100 mM chloride. (A) 4.5 mg/mL veverimer in SGF + 100 mM chloride; (B) 9.0 mg/mL veverimer in SGF + 100 mM chloride; (C) 4.5 mg/mL veverimer in 50 mM acetate buffer with 100 mM chloride; (D) 9.0 mg/mL veverimer in 100 mM acetate buffer with 100 mM chloride; (E) 4.5 mg/mL veverimer in SIF with 100 mM chloride; (F) 9.0 mg/mL veverimer in SIF + 50 mM PO4 with 100 mM chloride. The dashed line represents the threshold for test drug interaction with veverimer. PO4, phosphate. N = 6, mean ± 90% confidence interval.

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    Fig. 5.

    Effect of veverimer on gastric pH in the absence and presence of a proton pump inhibitor. The magnitude and duration of effect of veverimer on gastric pH was measured continuously in vivo in healthy volunteers using a microelectrode pH probe. Ingestion of veverimer or water occurred at ?hour 0, just after initiation of pH monitoring. In experiments assessing the fed condition, breakfast was eaten within 15 minutes prior to hour 0. Other meal/snack times occurred at ?hour 4, hour 9 (or 10), and hour 13. Omeprazole was administered at hour 9. (A) Veverimer versus water control under fasted conditions (without PPI); (B) veverimer versus water control under fed conditions (without PPI); (C) veverimer versus water control under fasted conditions (with PPI); (D) veverimer versus water control under fed conditions (with PPI).

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    Fig. 6.

    Effects of veverimer on the pharmacokinetic exposures of other orally administered medications. The effect of veverimer on the bioavailability of test drugs chosen to represent medications most likely to interact with veverimer via direct binding (furosemide, aspirin) or via indirect effects on gastric pH (furosemide, warfarin, dabigatran) was assessed in healthy volunteers.

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    TABLE 1

    Drugs tested for in vitro binding to veverimer

    Test Drug (Conc.; µg/mL)ClassBCS ClassMMpKaCharge at pH
    1.24.56.8
    Positively charged test drugs
     Amlodipine (5)Calcium channel blockerI408.99.21B+++
     Metformin (500)BiguanideIII129.22.94B, 13.7B+++
     Metoprolol (25)β blockerI267.49.61B+++
     Thiamine (1)Vitamin B1III265.44.8B+++
     Trimethoprim (100)AntibioticII290.37.14B+++
    Neutral/zwitterionic test drugs
     Allopurinol (100)Xanthine oxidase inhibitorI136.19.31ANNN
     Lisinopril (5)ACE inhibitorIII405.51.63A, 3.13A, 7.13B, 10.75B+ZZ
     Riboflavin (1.2)Vitamin B2I376.49.69ANNN
     Spironolactone (25)Aldosterone antagonistsII416.6n/aNNN
    Negatively charged test drugs
     Aspirin (81)Platelet aggregation inhibitorI180.23.50AN––
     Ethacrynic acid (25)DiureticNA303.13.50AN––
     Furosemide (20)DiureticIV330.73.62A, 10.16AN––
     Gliclazide (40)SulfonylureaII323.45.80ANNN/–
     Rosuvastatin (5)HMG COA reductase inhibitorIII481.54.6ANN/––
     Valsartan (40)Angiotensin II antagonistIII435.53.9A 4.7AN––
     Warfarin (1)AntithromboticII308.34.94ANN/––
    • –, negative; +, positive; ACE, angiotensin-converting enzyme inhibitor; BCS, Biopharmaceutics Classification System; HMG COA, hydroxymethylglutaryl-coenzyme A; N, neutral; NA, not applicable; Z, zwitterionic.

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    TABLE 2

    Pharmacokinetic analyses: ANOVA comparison of geometric least-squares-mean ratios (90% confidence intervals)

    Analyte ParameterConcomitant Administration1-Hour Separation2-Hour Separation3-Hour Separation
    Acetylsalicylic acid
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    94.4% (86.0%, 103.5%)
    85.1% (81.4%, 89.0%)
    85.1% (81.4%, 89.0%)
    NANA94.3% (85.9%, 103.4%)
    98.3% (94.0%, 102.7%)
    98.2% (94.0%, 102.7%)
    Salicylic acid
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    103.7% (100.3%, 107.2%)
    91.8% (90.0%, 93.5%)
    91.7% (90.0%, 93.5%)
    NANA101.4% (98.0%, 104.8%)
    97.9% (96.0%, 99.8%)
    97.5% (95.6%, 99.4%)
    Furosemide
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    99.5% (89.8%, 110.3%)
    91.1% (87.5%, 94.9%)
    89.9% (86.5%, 93.5%)
    NANA107.3% (96.8%, 118.9%)
    101.3% (97.3%, 105.6%)
    99.9% (96.1%, 103.9%)
    R-Warfarin
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    105.5% (99.6%, 111.7%)
    100.9% (98.2%, 103.7%
    100.6% (95.9%, 105.6%
    NANA100.7% (95.1%, 106.7%)
    99.7% (97.0%, 102.5%)
    99.7% (95.0%, 104.6%)
    S-Warfarin
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    107.3% (96.5%, 119.3%)
    98.0% (93.5%, 102.6%)
    98.5% (93.2%, 104.2%)
    NANA101.5% (91.3%, 113.0%)
    98.9% (94.4%, 103.6%)
    98.1% (92.8%, 103.8%)
    Free dabigatran
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    87.8% (81.3%, 94.8%)
    82.4% (77.3%, 87.8%)
    82.6% (77.6%, 87.9%)
    93.6% (84.0%, 104.0%)
    88.5% (80.3%, 97.6%)
    88.5% (80.4%, 97.5%)
    111.0% (103.0%, 120.0%)
    94.5% (88.7%, 101.0%)
    94.6% (88.9%, 101.0%)
    NA
    Total dabigatran
    Cmax (ng/mL)
    AUC0-t (hour·ng/mL)
    AUC0-inf (hour·ng/mL)
    88.3% (81.5%, 95.7%)
    82.4% (77.1%, 88.0%)
    82.8% (77.7%, 88.2%)
    95.6% (86.0%, 106.0%)
    89.1% (80.9%, 98.1%)
    89.2% (81.1%, 98.0%)
    115.0% (107.0%, 125.0%)
    97.9% (91.6%, 105.0%)
    98.0% (91.9%, 104.0%)
    NA
    • NA, not applicable.

Additional Files

  • Figures
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  • Data Supplement

    • Supplemental Data -

      Mean (SD) Plasma Total Dabigatran Concentration Profile over Time (Linear Scale)Supplemental Methods 

      Supplemental Table 1 - Anionic Probes (Test Acids).

      Supplemental Table 2 - Gastric pH Study Subject Disposition.

      Supplemental Table 3 - Gastric pH Study Demographics and Baseline Characteristics

      Supplemental Table 4 -Test Drugs with pH-Dependent Solubility

      Supplemental Table 5 - Exclusion Criteria for Genotyping

      Supplemental Table 6 - DDI Study Subject Disposition

      Supplemental Table 7 - DDI Study Demographics and Baseline Characteristics

      Supplemental Table 8 - Human DDI Study Pharmacokinetics Analyses - Summary Statistics

      Supplemental Table 9 - Summary Statistics for INR AUC0-0168 and INRmax in the Warfarin DDI Study

      Supplemental Table 10 - ANOVA Comparison of Geometric Least Square Means for INR AUC0-0168 and INRmax in the Warfarin DDI Study

      Supplemental Figure 1 - Gastric pH Study Design Schematic

      Supplemental Figure 2 - Drug-Drug Interaction Study Design (Furosemide, Aspirin, Warfarin)

      Supplemental Figure 3 - Drug-Drug Interaction Study Design (Dabigatran)

      Supplemental Figure 4 - Effect of Food: Water Administered under Fasting vs. Fed Conditions

      Supplemental Figure 5 - Effect of Omeprazole: Water Administered under Fasting Conditions Without vs. With Omeprazole

      Supplemental Figure 6 - Mean (SD) Plasma Furosemide Concentration Profile over Time (Linear Scale)

      Supplemental Figure 7 - Mean Plasma Furosemide Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 8 - Mean (SD) Plasma Acetylsalicylic Acid Concentration Profile over Time (Linear Scale)

      Supplemental Figure 9 - Mean Plasma Acetylsalicylic Acid Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 10 - Mean (SD) Plasma Salicylic Acid Concentration Profile over Time (Linear Scale)

      Supplemental Figure 11 - Mean Plasma Salicylic Acid Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 12 - Mean (SD) Plasma R-Warfarin Concentration Profile over Time (Linear Scale)

      Supplemental Figure 13 - Mean Plasma R-Warfarin Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 14 - Mean (SD) Plasma S-Warfarin Concentration Profile over Time (Linear Scale)

      Supplemental Figure 15 - Mean Plasma S-Warfarin Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 16 - Mean (SD) Plasma Total Dabigatran Concentration Profile over Time (Linear Scale)

      Supplemental Figure 17 - Mean Plasma Total Dabigatran Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 18 - Mean (SD) Plasma Free Dabigatran Concentration Profile over Time (Linear Scale)

      Supplemental Figure 19 - Mean Plasma Free Dabigatran Concentration Profile over Time (Log-Linear Scale)

      Supplemental Figure 20 - Mean (SD) International Normalized Ratio over Time (Linear Scale)

      Supplemental Figure 21 - Mean International Normalized Ratio over Time (Log-Linear Scale)

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Drug Metabolism and Disposition: 49 (7)
Drug Metabolism and Disposition
Vol. 49, Issue 7
1 Jul 2021
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Research ArticleArticle

Assessment of Potential Veverimer Drug-Drug Interactions

Dawn Parsell, Jun Shao, Robert Guttendorf, Vandana Mathur, Elizabeth Li, Yick Sen Wu, Li Tsao, Scott Tabakman, Yuri Stasiv, Angela Lee, Kalpesh Biyani and Gerrit Klaerner
Drug Metabolism and Disposition July 1, 2021, 49 (7) 490-500; DOI: https://doi.org/10.1124/dmd.121.000366

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Research ArticleArticle

Assessment of Potential Veverimer Drug-Drug Interactions

Dawn Parsell, Jun Shao, Robert Guttendorf, Vandana Mathur, Elizabeth Li, Yick Sen Wu, Li Tsao, Scott Tabakman, Yuri Stasiv, Angela Lee, Kalpesh Biyani and Gerrit Klaerner
Drug Metabolism and Disposition July 1, 2021, 49 (7) 490-500; DOI: https://doi.org/10.1124/dmd.121.000366
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