Determination of unbound platinum concentrations in human plasma using ultrafiltration and precipitation methods.

Cisplatin Nanosep® filter TCA precipitation Ultrafiltration Unbound Pt

Journal

Journal of pharmacological and toxicological methods
ISSN: 1873-488X
Titre abrégé: J Pharmacol Toxicol Methods
Pays: United States
ID NLM: 9206091

Informations de publication

Date de publication:
30 Jun 2024
Historique:
received: 18 04 2024
revised: 23 06 2024
accepted: 28 06 2024
medline: 3 7 2024
pubmed: 3 7 2024
entrez: 2 7 2024
Statut: aheadofprint

Résumé

Quantification of the unbound portion of platinum (Pt) in human plasma is important for assessing the pharmacokinetics of the chemotherapeutic drug cisplatin. In this study, we sought to compare the recovery of unbound Pt using Nanosep® filters to 1) traditional filters (Centrifree®, Centrisart®, Amicon®) or trichloroacetic acid (TCA) protein precipitation, and 2) unbound, bound, and total Pt concentrations in clinical specimens. For the tested filters, the impact of 1) molecular weight cut-offs, 2) centrifugation force, and 3) total Pt concentration on Pt binding in human plasma was evaluated. Pt was quantified using inductively coupled-plasma mass spectrometry. In human plasma spiked with 0.9 μg/mL Pt, the percent of unbound Pt increased at higher centrifugation speeds. By comparison, the percent of unbound Pt was highest (42.1%) following TCA protein precipitation. When total Pt was ≤0.9 μg/mL, unbound Pt (~20-30%) was consistent across filters. Conversely, when plasma was spiked with Pt exceeding 0.9 μg/mL, the percent of unbound Pt increased from 36.5 to 48% using ultrafiltration, compared to 63.4% to 79% with TCA precipitation. In patients receiving cisplatin-containing chemotherapy, the fraction of unbound Pt at concentrations exceeding 0.9 μg/mL ranged between 35 and 90%. Moreover, the unbound fraction of Pt in plasma correlated with the concentration of unbound (R

Identifiants

pubmed: 38955285
pii: S1056-8719(24)00045-5
doi: 10.1016/j.vascn.2024.107535
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107535

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The following are the supplementary data related to this article. Supplementary data to this article can be found online at https://doi.org/10.1016/j.vascn.2024.107535.

Auteurs

Xia Wen (X)

Dept of Pharmacology and Toxicology, United States of America; Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, United States of America.

Cathleen Doherty (C)

Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, United States of America.

Lauren E Thompson (LE)

Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, School of Medicine Division of Nephrology, Colorado Cancer Center, University of Colorado, Aurora, CO, United States of America.

Christine Kim (C)

Dept of Pharmacology and Toxicology, United States of America.

Brian S Buckley (BS)

Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, United States of America.

Edgar A Jaimes (EA)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America.

Melanie S Joy (MS)

Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, School of Medicine Division of Nephrology, Colorado Cancer Center, University of Colorado, Aurora, CO, United States of America.

Lauren M Aleksunes (LM)

Dept of Pharmacology and Toxicology, United States of America; Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, United States of America; Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States of America. Electronic address: aleksunes@eohsi.rutgers.edu.

Classifications MeSH