Improving Pediatric Protein Binding Estimates: An Evaluation of α1-Acid Glycoprotein Maturation in Healthy and Infected Subjects
Background Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure. Objective This study aims to quantify the ontogeny of α1-acid glycoprotein in both healthy and infected subjects. Me...
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Published in | Clinical pharmacokinetics Vol. 57; no. 5; pp. 577 - 589 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.05.2018
Springer Nature B.V |
Subjects | |
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Abstract | Background
Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure.
Objective
This study aims to quantify the ontogeny of α1-acid glycoprotein in both healthy and infected subjects.
Methods
Data pertaining to α1-acid glycoprotein from healthy subjects were compiled over 26 different publications. For subjects diagnosed or suspected of infection, α1-acid glycoprotein levels were obtained from 214 individuals acquired over three clinical investigations. The analysis evaluated the use of linear, power, exponential, log-linear, and sigmoid
E
max
models to describe the ontogeny of α1-acid glycoprotein. Utility of the derived ontogeny equation for estimation of pediatric fraction unbound was evaluated using average-fold error and absolute average-fold error as measures of bias and precision, respectively. A comparison to fraction unbound estimates derived using a previously proposed linear equation was also instituted.
Results
The sigmoid
E
max
model provided the comparatively best depiction of α1-acid glycoprotein ontogeny in both healthy and infected subjects. Despite median α1-acid glycoprotein levels in infected subjects being more than two-fold greater than those observed in healthy subjects, a similar ontogeny pattern was observed when levels were normalized toward adult levels. For estimation of pediatric fraction unbound, the α1-acid glycoprotein ontogeny equation derived from this work (average fold error 0.99; absolute average fold error 1.24) provided a superior predictive performance in comparison to the previous equation (average fold error 0.74; absolute average fold error 1.45).
Conclusion
The current investigation depicts a proficient modality for estimation of protein binding in pediatrics and will, therefore, aid in reducing uncertainty associated with pediatric pharmacokinetic predictions. |
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AbstractList | Background Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure.Objective This study aims to quantify the ontogeny of a1acid glycoprotein in both healthy and infected subjects.Methods Data pertaining to a1-acid glycoprotein from healthy subjects were compiled over 26 different publications. For subjects diagnosed or suspected of infection, a1acid glycoprotein levels were obtained from 214 individuals acquired over three clinical investigations. The analysis evaluated the use of linear, power, exponential, loglinear, and sigmoid Emax models to describe the ontogeny of a1-acid glycoprotein. Utility of the derived ontogeny equation for estimation of pediatric fraction unbound was evaluated using average-fold error and absolute averagefold error as measures of bias and precision, respectively. A comparison to fraction unbound estimates derived using a previously proposed linear equation was also instituted.Results The sigmoid Emax model provided the comparatively best depiction of a1-acid glycoprotein ontogeny in both healthy and infected subjects. Despite median a1-acid glycoprotein levels in infected subjects being more than two-fold greater than those observed in healthy subjects, a similar ontogeny pattern was observed when levels were normalized toward adult levels. For estimation of pediatric fraction unbound, the a1-acid glycoprotein ontogeny equation derived from this work (average fold error 0.99; absolute average fold error 1.24) provided a superior predictive performance in comparison to the previous equation (average fold error 0.74; absolute average fold error 1.45).Conclusion The current investigation depicts a proficient modality for estimation of protein binding in pediatrics and will, therefore, aid in reducing uncertainty associated with pediatric pharmacokinetic predictions. Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure. This study aims to quantify the ontogeny of α1-acid glycoprotein in both healthy and infected subjects. Data pertaining to α1-acid glycoprotein from healthy subjects were compiled over 26 different publications. For subjects diagnosed or suspected of infection, α1-acid glycoprotein levels were obtained from 214 individuals acquired over three clinical investigations. The analysis evaluated the use of linear, power, exponential, log-linear, and sigmoid E models to describe the ontogeny of α1-acid glycoprotein. Utility of the derived ontogeny equation for estimation of pediatric fraction unbound was evaluated using average-fold error and absolute average-fold error as measures of bias and precision, respectively. A comparison to fraction unbound estimates derived using a previously proposed linear equation was also instituted. The sigmoid E model provided the comparatively best depiction of α1-acid glycoprotein ontogeny in both healthy and infected subjects. Despite median α1-acid glycoprotein levels in infected subjects being more than two-fold greater than those observed in healthy subjects, a similar ontogeny pattern was observed when levels were normalized toward adult levels. For estimation of pediatric fraction unbound, the α1-acid glycoprotein ontogeny equation derived from this work (average fold error 0.99; absolute average fold error 1.24) provided a superior predictive performance in comparison to the previous equation (average fold error 0.74; absolute average fold error 1.45). The current investigation depicts a proficient modality for estimation of protein binding in pediatrics and will, therefore, aid in reducing uncertainty associated with pediatric pharmacokinetic predictions. Background Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure. Objective This study aims to quantify the ontogeny of α1-acid glycoprotein in both healthy and infected subjects. Methods Data pertaining to α1-acid glycoprotein from healthy subjects were compiled over 26 different publications. For subjects diagnosed or suspected of infection, α1-acid glycoprotein levels were obtained from 214 individuals acquired over three clinical investigations. The analysis evaluated the use of linear, power, exponential, log-linear, and sigmoid E max models to describe the ontogeny of α1-acid glycoprotein. Utility of the derived ontogeny equation for estimation of pediatric fraction unbound was evaluated using average-fold error and absolute average-fold error as measures of bias and precision, respectively. A comparison to fraction unbound estimates derived using a previously proposed linear equation was also instituted. Results The sigmoid E max model provided the comparatively best depiction of α1-acid glycoprotein ontogeny in both healthy and infected subjects. Despite median α1-acid glycoprotein levels in infected subjects being more than two-fold greater than those observed in healthy subjects, a similar ontogeny pattern was observed when levels were normalized toward adult levels. For estimation of pediatric fraction unbound, the α1-acid glycoprotein ontogeny equation derived from this work (average fold error 0.99; absolute average fold error 1.24) provided a superior predictive performance in comparison to the previous equation (average fold error 0.74; absolute average fold error 1.45). Conclusion The current investigation depicts a proficient modality for estimation of protein binding in pediatrics and will, therefore, aid in reducing uncertainty associated with pediatric pharmacokinetic predictions. Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure.BACKGROUNDDifferences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns of exposure.This study aims to quantify the ontogeny of α1-acid glycoprotein in both healthy and infected subjects.OBJECTIVEThis study aims to quantify the ontogeny of α1-acid glycoprotein in both healthy and infected subjects.Data pertaining to α1-acid glycoprotein from healthy subjects were compiled over 26 different publications. For subjects diagnosed or suspected of infection, α1-acid glycoprotein levels were obtained from 214 individuals acquired over three clinical investigations. The analysis evaluated the use of linear, power, exponential, log-linear, and sigmoid E max models to describe the ontogeny of α1-acid glycoprotein. Utility of the derived ontogeny equation for estimation of pediatric fraction unbound was evaluated using average-fold error and absolute average-fold error as measures of bias and precision, respectively. A comparison to fraction unbound estimates derived using a previously proposed linear equation was also instituted.METHODSData pertaining to α1-acid glycoprotein from healthy subjects were compiled over 26 different publications. For subjects diagnosed or suspected of infection, α1-acid glycoprotein levels were obtained from 214 individuals acquired over three clinical investigations. The analysis evaluated the use of linear, power, exponential, log-linear, and sigmoid E max models to describe the ontogeny of α1-acid glycoprotein. Utility of the derived ontogeny equation for estimation of pediatric fraction unbound was evaluated using average-fold error and absolute average-fold error as measures of bias and precision, respectively. A comparison to fraction unbound estimates derived using a previously proposed linear equation was also instituted.The sigmoid E max model provided the comparatively best depiction of α1-acid glycoprotein ontogeny in both healthy and infected subjects. Despite median α1-acid glycoprotein levels in infected subjects being more than two-fold greater than those observed in healthy subjects, a similar ontogeny pattern was observed when levels were normalized toward adult levels. For estimation of pediatric fraction unbound, the α1-acid glycoprotein ontogeny equation derived from this work (average fold error 0.99; absolute average fold error 1.24) provided a superior predictive performance in comparison to the previous equation (average fold error 0.74; absolute average fold error 1.45).RESULTSThe sigmoid E max model provided the comparatively best depiction of α1-acid glycoprotein ontogeny in both healthy and infected subjects. Despite median α1-acid glycoprotein levels in infected subjects being more than two-fold greater than those observed in healthy subjects, a similar ontogeny pattern was observed when levels were normalized toward adult levels. For estimation of pediatric fraction unbound, the α1-acid glycoprotein ontogeny equation derived from this work (average fold error 0.99; absolute average fold error 1.24) provided a superior predictive performance in comparison to the previous equation (average fold error 0.74; absolute average fold error 1.45).The current investigation depicts a proficient modality for estimation of protein binding in pediatrics and will, therefore, aid in reducing uncertainty associated with pediatric pharmacokinetic predictions.CONCLUSIONThe current investigation depicts a proficient modality for estimation of protein binding in pediatrics and will, therefore, aid in reducing uncertainty associated with pediatric pharmacokinetic predictions. |
Author | Maharaj, Anil R. Gonzalez, Daniel Hornik, Christoph P. Cohen-Wolkowiez, Michael Edginton, Andrea N. |
AuthorAffiliation | d Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA c Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA b Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA a School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada |
AuthorAffiliation_xml | – name: a School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada – name: d Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA – name: c Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA – name: b Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA |
Author_xml | – sequence: 1 givenname: Anil R. surname: Maharaj fullname: Maharaj, Anil R. organization: School of Pharmacy, University of Waterloo – sequence: 2 givenname: Daniel surname: Gonzalez fullname: Gonzalez, Daniel organization: Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill – sequence: 3 givenname: Michael surname: Cohen-Wolkowiez fullname: Cohen-Wolkowiez, Michael organization: Department of Pediatrics, Duke University School of Medicine, Duke Clinical Research Institute, Duke University School of Medicine – sequence: 4 givenname: Christoph P. surname: Hornik fullname: Hornik, Christoph P. organization: Department of Pediatrics, Duke University School of Medicine, Duke Clinical Research Institute, Duke University School of Medicine – sequence: 5 givenname: Andrea N. surname: Edginton fullname: Edginton, Andrea N. email: aedginto@uwaterloo.ca organization: School of Pharmacy, University of Waterloo |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28779462$$D View this record in MEDLINE/PubMed |
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Snippet | Background
Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in... Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in divergent patterns... Background Differences in plasma protein levels observed between children and adults can alter the extent of xenobiotic binding in plasma, resulting in... |
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StartPage | 577 |
SubjectTerms | Acids Adolescent Adults Age Bacterial infections Bacterial Infections - metabolism Binding sites Child Child, Preschool Crohn's disease Health care Heart attacks Humans Infant Infant, Newborn Infections Internal Medicine Ligands Medicine Medicine & Public Health Models, Biological Original Research Article Orosomucoid - metabolism Pediatrics Pharmacology/Toxicology Pharmacotherapy Plasma Protein Binding Proteins |
Title | Improving Pediatric Protein Binding Estimates: An Evaluation of α1-Acid Glycoprotein Maturation in Healthy and Infected Subjects |
URI | https://link.springer.com/article/10.1007/s40262-017-0576-7 https://www.ncbi.nlm.nih.gov/pubmed/28779462 https://www.proquest.com/docview/2111544854 https://www.proquest.com/docview/1926686801 https://pubmed.ncbi.nlm.nih.gov/PMC5797516 |
Volume | 57 |
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