Sergei I Petrykiv1, Dick de Zeeuw1, Frederik Persson2, Peter Rossing2,3,4, Ron T Gansevoort5, Gozewijn D Laverman6, Hiddo J L Heerspink1. 1. Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. 2. Steno Diabetes Center, Gentofte, Denmark. 3. NNF Center for Basic and Metabolic Research, Copenhagen University, Denmark. 4. HEALTH, Aarhus University, Aarhus, Denmark. 5. Department of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. 6. Ziekenhuisgroep Twente, Almelo, The Netherlands.
Abstract
AIMS: Albuminuria-lowering drugs have shown different effect size in different individuals. Since urine albumin levels are known to vary considerably from day-to-day, we questioned whether the between-individual variability in albuminuria response after therapy initiation reflects a random variability or a true response variation to treatment. In addition, we questioned whether the response variability is drug dependent. METHODS: To determine whether the response to treatment is random or a true drug response, we correlated in six clinical trials the change in albuminuria during placebo or active treatment (on-treatment) with the change in albuminuria during wash-out (off-treatment). If these responses correlate during active treatment, it suggests that at least part of the response variability can be attributed to drug response variability. We tested this for enalapril, losartan, aliskiren, atrasentan and paricalcitol. RESULTS: No correlation between the on- and off-treatment albuminuria change was observed in the placebo arm of all clinical trials (R2 < 0.01). However, we observed significant associations between the on- and off-treatment response (R2 0.14 to 0.57; all P < 0.015) for different albuminuria lowering drugs. Additionally, the albuminuria responses strongly correlated when the same individual was re-exposed to the same drug at the same dose: lisinopril 10 mg day-1 (R2 = 53%; P < 0.01), losartan 50 mg day-1 (R2 = 63%; P < 0.01). CONCLUSION: The degree of albuminuria lowering with antialbuminuric drugs varies between patients. This variability in response appears drug-class independent. Identifying which factors determine this initial short-term variation in drug response appears important since the degree of albuminuria lowering is related to subsequent long-term renoprotection.
AIMS: Albuminuria-lowering drugs have shown different effect size in different individuals. Since urine albumin levels are known to vary considerably from day-to-day, we questioned whether the between-individual variability in albuminuria response after therapy initiation reflects a random variability or a true response variation to treatment. In addition, we questioned whether the response variability is drug dependent. METHODS: To determine whether the response to treatment is random or a true drug response, we correlated in six clinical trials the change in albuminuria during placebo or active treatment (on-treatment) with the change in albuminuria during wash-out (off-treatment). If these responses correlate during active treatment, it suggests that at least part of the response variability can be attributed to drug response variability. We tested this for enalapril, losartan, aliskiren, atrasentan and paricalcitol. RESULTS: No correlation between the on- and off-treatment albuminuria change was observed in the placebo arm of all clinical trials (R2 < 0.01). However, we observed significant associations between the on- and off-treatment response (R2 0.14 to 0.57; all P < 0.015) for different albuminuria lowering drugs. Additionally, the albuminuria responses strongly correlated when the same individual was re-exposed to the same drug at the same dose: lisinopril 10 mg day-1 (R2 = 53%; P < 0.01), losartan 50 mg day-1 (R2 = 63%; P < 0.01). CONCLUSION: The degree of albuminuria lowering with antialbuminuric drugs varies between patients. This variability in response appears drug-class independent. Identifying which factors determine this initial short-term variation in drug response appears important since the degree of albuminuria lowering is related to subsequent long-term renoprotection.
Authors: Elsbeth C Witte; Hiddo J Lambers Heerspink; Dick de Zeeuw; Stephan J L Bakker; Paul E de Jong; Ronald Gansevoort Journal: J Am Soc Nephrol Date: 2008-12-17 Impact factor: 10.121
Authors: B M Brenner; M E Cooper; D de Zeeuw; W F Keane; W E Mitch; H H Parving; G Remuzzi; S M Snapinn; Z Zhang; S Shahinfar Journal: N Engl J Med Date: 2001-09-20 Impact factor: 91.245
Authors: Folkert W Asselbergs; Gilles F H Diercks; Hans L Hillege; Ad J van Boven; Wilbert M T Janssen; Adriaan A Voors; Dick de Zeeuw; Paul E de Jong; Dirk J van Veldhuisen; Wiek H van Gilst Journal: Circulation Date: 2004-10-18 Impact factor: 29.690
Authors: S Attwood; R Bird; K Burch; B Casadei; A Coats; J Conway; M Dawes; D Ebbs; A Farmer; J Robinson Journal: J Hypertens Date: 1994-09 Impact factor: 4.844
Authors: Dick de Zeeuw; Blai Coll; Dennis Andress; John J Brennan; Hui Tang; Mark Houser; Ricardo Correa-Rotter; Donald Kohan; Hiddo J Lambers Heerspink; Hirofumi Makino; Vlado Perkovic; Yili Pritchett; Giuseppe Remuzzi; Sheldon W Tobe; Robert Toto; Giancarlo Viberti; Hans-Henrik Parving Journal: J Am Soc Nephrol Date: 2014-04-10 Impact factor: 10.121
Authors: Christopher Southan; Joanna L Sharman; Helen E Benson; Elena Faccenda; Adam J Pawson; Stephen P H Alexander; O Peter Buneman; Anthony P Davenport; John C McGrath; John A Peters; Michael Spedding; William A Catterall; Doriano Fabbro; Jamie A Davies Journal: Nucleic Acids Res Date: 2015-10-12 Impact factor: 16.971
Authors: Sergei I Petrykiv; Dick de Zeeuw; Frederik Persson; Peter Rossing; Ron T Gansevoort; Gozewijn D Laverman; Hiddo J L Heerspink Journal: Br J Clin Pharmacol Date: 2017-02-01 Impact factor: 4.335
Authors: Hiddo J L Heerspink; Di Xie; George Bakris; Ricardo Correa-Rotter; Fan-Fan Hou; Dalane W Kitzman; Donald Kohan; Hirofumi Makino; John J V McMurray; Vlado Perkovic; Peter Rossing; Hans-Henrik Parving; Dick de Zeeuw Journal: J Am Soc Nephrol Date: 2021-09-22 Impact factor: 10.121
Authors: Sushrut S Waikar; Casey M Rebholz; Zihe Zheng; Shelley Hurwitz; Chi-Yuan Hsu; Harold I Feldman; Dawei Xie; Kathleen D Liu; Theodore E Mifflin; John H Eckfeldt; Paul L Kimmel; Ramachandran S Vasan; Joseph V Bonventre; Lesley A Inker; Josef Coresh Journal: Am J Kidney Dis Date: 2018-07-18 Impact factor: 8.860
Authors: Sophie Marielle van den Belt; Valentina Gracchi; Dick de Zeeuw; Hiddo Jan Lambers Heerspink Journal: PLoS One Date: 2018-06-21 Impact factor: 3.240
Authors: Michele Provenzano; Giuseppe Coppolino; Luca De Nicola; Raffaele Serra; Carlo Garofalo; Michele Andreucci; Davide Bolignano Journal: Front Cell Dev Biol Date: 2019-12-03