Literature DB >> 22964257

Novel method to assess antiretroviral target trough concentrations using in vitro susceptibility data.

Edward P Acosta1, Kay L Limoli, Lan Trinh, Neil T Parkin, Jennifer R King, Jodi M Weidler, Ighovwerha Ofotokun, Christos J Petropoulos.   

Abstract

Durable suppression of HIV-1 replication requires the establishment of antiretroviral drug concentrations that exceed the susceptibility of the virus strain(s) infecting the patient. Minimum plasma drug concentrations (C(trough)) are correlated with response, but determination of target C(trough) values is hindered by a paucity of in vivo concentration-response data. In the absence of these data, in vitro susceptibility measurements, adjusted for serum protein binding, can provide estimations of suppressive in vivo drug concentrations. We derived serum protein binding correction factors (PBCF) for protease inhibitors, nonnucleoside reverse transcriptase inhibitors, and an integrase inhibitor by measuring the effect of a range of human serum concentrations on in vitro drug susceptibility measured with the PhenoSense HIV assay. PBCFs corresponding to 100% HS were extrapolated using linear regression and ranged from 1.4 for nevirapine to 77 for nelfinavir. Using the mean 95% inhibitory concentration (IC(95)) for ≥1,200 drug-susceptible viruses, we calculated protein-bound IC(95) (PBIC(95)) values. PBIC(95) values were concordant with the minimum effective C(trough) values that were established in well-designed pharmacodynamic studies (e.g., indinavir, saquinavir, and amprenavir). In other cases, the PBIC(95) values were notably lower (e.g., darunavir, efavirenz, and nevirapine) or higher (nelfinavir and etravirine) than existing target recommendations. The establishment of PBIC(95) values as described here provides a convenient and standardized approach for estimation of the minimum drug exposure that is required to maintain viral suppression and prevent the emergence of drug-resistant variants, particularly when in vivo concentration-response relationships are lacking.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22964257      PMCID: PMC3486606          DOI: 10.1128/AAC.00691-12

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  37 in total

1.  World-wide variation in HIV-1 phenotypic susceptibility in untreated individuals: biologically relevant values for resistance testing.

Authors:  P R Harrigan; J S Montaner; S A Wegner; W Verbiest; V Miller; R Wood; B A Larder
Journal:  AIDS       Date:  2001-09-07       Impact factor: 4.177

2.  Inhibitory quotient as a prognostic factor of response to a salvage antiretroviral therapy containing ritonavir-boosted saquinavir. The CIVSA Study.

Authors:  J Mallolas; Jl Blanco; P Labarga; A Vergara; A Ocampo; M Sarasa; M Arnedo; Y López-Púa; J García; J Juega; A Guelar; A Terrón; D Dalmau; I García; M Zárraga; E Martínez; X Carné; T Pumarola; R Escayola; Jm Gatell
Journal:  HIV Med       Date:  2007-05       Impact factor: 3.180

3.  Efavirenz plasma levels can predict treatment failure and central nervous system side effects in HIV-1-infected patients.

Authors:  C Marzolini; A Telenti; L A Decosterd; G Greub; J Biollaz; T Buclin
Journal:  AIDS       Date:  2001-01-05       Impact factor: 4.177

4.  Pharmacokinetic and pharmacodynamic study of the human immunodeficiency virus protease inhibitor amprenavir after multiple oral dosing.

Authors:  B M Sadler; C Gillotin; Y Lou; D S Stein
Journal:  Antimicrob Agents Chemother       Date:  2001-01       Impact factor: 5.191

5.  Pharmacokinetics and 24-week efficacy/safety of dual boosted saquinavir/lopinavir/ritonavir in nucleoside-pretreated children.

Authors:  Jintanat Ananworanich; Pope Kosalaraksa; Andrew Hill; Umaporn Siangphoe; Alina Bergshoeff; Chitsanu Pancharoen; Chulapan Engchanil; Kiat Ruxrungtham; David Burger
Journal:  Pediatr Infect Dis J       Date:  2005-10       Impact factor: 2.129

6.  The normalized inhibitory quotient of boosted protease inhibitors is predictive of viral load response in treatment-experienced HIV-1-infected individuals.

Authors:  Alan Winston; Gill Hales; Janaki Amin; Erno van Schaick; David A Cooper; Sean Emery
Journal:  AIDS       Date:  2005-09-02       Impact factor: 4.177

7.  In vitro-in vivo model for evaluating the antiviral activity of amprenavir in combination with ritonavir administered at 600 and 100 milligrams, respectively, every 12 hours.

Authors:  Sandra L Preston; Peter J Piliero; John A Bilello; Daniel S Stein; William T Symonds; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2003-11       Impact factor: 5.191

8.  Genotypic inhibitory quotient as predictor of virological response to ritonavir-amprenavir in human immunodeficiency virus type 1 protease inhibitor-experienced patients.

Authors:  Anne-Geneviève Marcelin; Claire Lamotte; Constance Delaugerre; Nadine Ktorza; Hocine Ait Mohand; Raquel Cacace; Manuela Bonmarchand; Marc Wirden; Anne Simon; Philippe Bossi; François Bricaire; Dominique Costagliola; Christine Katlama; Gilles Peytavin; Vincent Calvez
Journal:  Antimicrob Agents Chemother       Date:  2003-02       Impact factor: 5.191

9.  Darunavir inhibitory quotient predicts the 48-week virological response to darunavir-based salvage therapy in human immunodeficiency virus-infected protease inhibitor-experienced patients.

Authors:  José Moltó; José R Santos; Nuria Pérez-Alvarez; Samandhy Cedeño; Cristina Miranda; Saye Khoo; Laura Else; Josep Maria Llibre; Marta Valle; Bonaventura Clotet
Journal:  Antimicrob Agents Chemother       Date:  2008-08-25       Impact factor: 5.191

10.  Characterization of the selectivity and mechanism of human cytochrome P450 inhibition by the human immunodeficiency virus-protease inhibitor nelfinavir mesylate.

Authors:  J H Lillibridge; B H Liang; B M Kerr; S Webber; B Quart; B V Shetty; C A Lee
Journal:  Drug Metab Dispos       Date:  1998-07       Impact factor: 3.922

View more
  25 in total

1.  Integrated population pharmacokinetic/viral dynamic modelling of lopinavir/ritonavir in HIV-1 treatment-naïve patients.

Authors:  Kun Wang; David Z D'Argenio; Edward P Acosta; Anandi N Sheth; Cecile Delille; Jeffrey L Lennox; Corenna Kerstner-Wood; Ighovwerha Ofotokun
Journal:  Clin Pharmacokinet       Date:  2014-04       Impact factor: 6.447

2.  In Silico Dose Prediction for Long-Acting Rilpivirine and Cabotegravir Administration to Children and Adolescents.

Authors:  Rajith K R Rajoli; David J Back; Steve Rannard; Caren Freel Meyers; Charles Flexner; Andrew Owen; Marco Siccardi
Journal:  Clin Pharmacokinet       Date:  2018-02       Impact factor: 6.447

3.  Mechanistic pharmacokinetic/target engagement/pharmacodynamic (PK/TE/PD) modeling in deciphering interplay between a monoclonal antibody and its soluble target in cynomolgus monkeys.

Authors:  Weirong Wang; Xiaofeng Wang; Rajitha Doddareddy; Damien Fink; Thomas McIntosh; Hugh M Davis; Honghui Zhou
Journal:  AAPS J       Date:  2013-11-28       Impact factor: 4.009

4.  Pharmacokinetics of Once-Daily Darunavir/Ritonavir With and Without Etravirine in Human Immunodeficiency Virus-Infected Children, Adolescents, and Young Adults.

Authors:  Kajal B Larson; Tim R Cressey; Ram Yogev; Andrew Wiznia; Rohan Hazra; Patrick Jean-Philippe; Bobbie Graham; Amy Gonzalez; Paula Britto; Vincent J Carey; Edward P Acosta
Journal:  J Pediatric Infect Dis Soc       Date:  2015-01-28       Impact factor: 3.164

5.  Fosamprenavir with Ritonavir Pharmacokinetics during Pregnancy.

Authors:  Ahizechukwu C Eke; Jiajia Wang; Khadija Amin; David E Shapiro; Alice Stek; Elizabeth Smith; Nahida Chakhtoura; Michael Basar; Kathleen George; Katherine M Knapp; Esaú C João; Kittipong Rungruengthanakit; Edmund Capparelli; Sandra Burchett; Mark Mirochnick; Brookie M Best
Journal:  Antimicrob Agents Chemother       Date:  2020-03-24       Impact factor: 5.191

6.  Clinical and genetic determinants of plasma nevirapine exposure following an intrapartum dose to prevent mother-to-child HIV transmission.

Authors:  Saran Vardhanabhuti; Edward P Acosta; Heather J Ribaudo; Patrice Severe; Umesh Lalloo; Nagalingeshwaran Kumarasamy; Frank Taulo; Joseph Kabanda; Olola Oneko; Prudence Ive; Pradeep Sambarey; Ellen S Chan; Jane Hitti; Francis Hong; Deborah McMahon; David W Haas
Journal:  J Infect Dis       Date:  2013-05-17       Impact factor: 5.226

7.  Evaluation of the effect of cobicistat on the in vitro renal transport and cytotoxicity potential of tenofovir.

Authors:  Kirsten M Stray; Rujuta A Bam; Gabriel Birkus; Jia Hao; Eve-Irene Lepist; Stephen R Yant; Adrian S Ray; Tomas Cihlar
Journal:  Antimicrob Agents Chemother       Date:  2013-07-29       Impact factor: 5.191

8.  Antiretroviral concentrations and surrogate measures of efficacy in the brain tissue and CSF of preclinical species.

Authors:  Nithya Srinivas; Elias P Rosen; William M Gilliland; Martina Kovarova; Leila Remling-Mulder; Gabriela De La Cruz; Nicole White; Lourdes Adamson; Amanda P Schauer; Craig Sykes; Paul Luciw; J Victor Garcia; Ramesh Akkina; Angela D M Kashuba
Journal:  Xenobiotica       Date:  2018-12-17       Impact factor: 1.908

Review 9.  Pharmacokinetics and pharmacodynamics of antiretrovirals in the central nervous system.

Authors:  Andrea Calcagno; Giovanni Di Perri; Stefano Bonora
Journal:  Clin Pharmacokinet       Date:  2014-10       Impact factor: 6.447

10.  Effect of protein binding on unbound atazanavir and darunavir cerebrospinal fluid concentrations.

Authors:  Cecile A Delille; Sarah T Pruett; Vincent C Marconi; Jeffrey L Lennox; Wendy S Armstrong; Richard F Arrendale; Anandi N Sheth; Kirk A Easley; Edward P Acosta; Aswani Vunnava; Ighovwerha Ofotokun
Journal:  J Clin Pharmacol       Date:  2014-04-08       Impact factor: 3.126

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.