Analytical Validation of Aptamer-Based Serum Vancomycin Monitoring Relative to Automated Immunoassays.

E-AB sensor analytical validation aptamer biosensors clinical samples drug dosing therapeutic drug monitoring vancomycin

Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
18 Dec 2023
Historique:
medline: 19 12 2023
pubmed: 19 12 2023
entrez: 18 12 2023
Statut: aheadofprint

Résumé

The practice of monitoring therapeutic drug concentrations in patient biofluids can significantly improve clinical outcomes while simultaneously minimizing adverse side effects. A model example of this practice is vancomycin dosing in intensive care units. If dosed correctly, vancomycin can effectively treat methicillin-resistant streptococcus aureus (MRSA) infections. However, it can also induce nephrotoxicity or fail to kill the bacteria if dosed too high or too low, respectively. Although undeniably important to achieve effectiveness, therapeutic drug monitoring remains inconvenient in practice due primarily to the lengthy process of sample collection, transport to a centralized facility, and analysis using costly instrumentation. Adding to this workflow is the possibility of backlogs at centralized clinical laboratories, which is not uncommon and may result in additional delays between biofluid sampling and concentration measurement, which can negatively affect clinical outcomes. Here, we explore the possibility of using point-of-care electrochemical aptamer-based (E-AB) sensors to minimize the time delay between biofluid sampling and drug measurement. Specifically, we conducted a clinical agreement study comparing the measurement outcomes of E-AB sensors to the benchmark automated competitive immunoassays for vancomycin monitoring in serum. Our results demonstrate that E-ABs are selective for free vancomycin─the active form of the drug, over total vancomycin. In contrast, competitive immunoassays measure total vancomycin, including both protein-bound and free drug. Accounting for these differences in a pilot study consisting of 85 clinical samples, we demonstrate that the E-AB vancomycin measurement achieved a 95% positive correlation rate with the benchmark immunoassays. Therefore, we conclude that E-AB sensors could provide clinically useful stratification of patient samples at trough sampling to guide effective vancomycin dose recommendations.

Identifiants

pubmed: 38110361
doi: 10.1021/acssensors.3c01868
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Yu Liu (Y)

ZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.

John O Mack (JO)

Biochemistry, Cellular and Molecular Biology Program, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.

Maryam Shojaee (M)

ZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.

Alexander Shaver (A)

Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.

Ankitha George (A)

ZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.

William Clarke (W)

Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.

Neel Patel (N)

ZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.

Netzahualcóyotl Arroyo-Currás (N)

Biochemistry, Cellular and Molecular Biology Program, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.

Classifications MeSH