Evidence map›Paper›PMID 38110361›Full record

ArticleACS sensors2024

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

Yu Liu, John O Mack, Maryam Shojaee, Alexander Shaver, Ankitha George, William Clarke, Neel Patel, Netzahualcóyotl Arroyo-Currás

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Yu LiuZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.
John O MackBiochemistry, Cellular and Molecular Biology Program, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0002-4682-7885
Maryam ShojaeeZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.
Alexander ShaverDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0002-5478-5291
Ankitha GeorgeZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.
William ClarkeDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Neel PatelZiO Health Ltd., The Tower, St George Wharf, London SW82BW, U.K.
Netzahualcóyotl Arroyo-CurrásBiochemistry, Cellular and Molecular Biology Program, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0002-2740-6276
Johns Hopkins University · USSouth West London and St George's Mental Health NHS Trust · GB

Funding

In-Vivo Monitoring of Therapeutic Drug Transport Across Biological BarriersR01GM140143 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ARROYO CURRAS, NETZAHUALCOYOTL · 2021 to 2025
$1.7M
NIGMS NIH HHS R01 GM140143
6 · The paper itself

Abstract

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.

Indexed as

Streptococcal InfectionsVancomycinAnti-Bacterial AgentsHumansOligonucleotidesPilot ProjectsSerumAnti-Bacterial AgentsOligonucleotidesVancomycinanalytical validationaptamerbiosensorsclinical samplesdrug dosingE-AB sensortherapeutic drug monitoringvancomycin

Identifiers

PMID38110361
PMCPMC10826698
OpenAlexW4389958813

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.