Evidence map›Paper›PMID 42312165›Full record

ArticleACS pharmacology & translational science2026

A Minimally Invasive, Subcutaneous Biosensor Reliably Estimates Plasma Methotrexate Exposure and Quantifies Plasma-to-Tissue Transport Kinetics.

Jennifer M Gibson, Zeki Duman, Nicole A Emmons, Danielle O Sogbesan, João P Hespanha, Carl M Kirkpatrick, Tod E Kippin, Kevin W Plaxco

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jennifer M GibsonInterdisciplinary Program in Quantitative Biosciences, University of California, Santa Barbara, Santa Barbara, California 93106, United States.ORCID https://orcid.org/0009-0003-5512-2371
Zeki DumanDepartment of Electrical and Computer Engineering, University of California, Santa Barbara, Santa Barbara, California 93106, United States.ORCID https://orcid.org/0009-0007-1824-2007
Nicole A EmmonsDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, California 93106, United States.ORCID https://orcid.org/0000-0002-5275-2613
Danielle O SogbesanDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, California 93106, United States.
João P HespanhaDepartment of Electrical and Computer Engineering, University of California, Santa Barbara, Santa Barbara, California 93106, United States.ORCID https://orcid.org/0000-0003-2809-4718
Carl M KirkpatrickMonash Institute of Pharmaceutical Sciences, Monash University, Melbourne 3800, Australia.
Tod E KippinDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, California 93106, United States.
Kevin W PlaxcoInterdisciplinary Program in Quantitative Biosciences, University of California, Santa Barbara, Santa Barbara, California 93106, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemical aptamer-based (EAB) sensors enable high-frequency, real-time measurements of drug concentrations in situ in the body, offering a potential means of rendering therapeutic drug monitoring (TDM) as convenient, timely, and precise as the continuous glucose monitor has rendered the measurement of blood sugar. Fully realizing this vision, however, will require improved understanding of the relationship between drug concentrations in the interstitial fluid (ISF) and in the plasma, as the latter are the basis of nearly all clinical decision-making. Toward this end, here we have used an EAB sensor against the chemotherapeutic methotrexate, a drug that requires monitoring to optimize efficacy and minimize toxicity, to perform simultaneous, seconds-resolved concentration measurements in the plasma and subcutaneous ISF of live rats. Noncompartmental analysis reveals that, while body-mass-adjusted dose is a poor predictor of methotrexate exposure (as area under the curve) in either bodily compartment (

Indexed as

aptamersbiosensorschemotherapeuticscompartmental modelingpersonalized medicinepharmacokinetics

Identifiers

PMID42312165
PMCPMC13270441

What OpenQuestion holds

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Registered trials

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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.