Evidence map›Paper›PMID 42414265›Full record

ArticleNutrition & diabetes2026

Skin acetone as a clinical diagnostic biomarker of ketosis.

Anh Ngan Nguyen, Oscar Osorio-Perez, David Jackemeyer, Eliana Terrera, Shaun Victor, Ayushi Pradhan, Fang Chen, Rodrigo Ezequiel Dominguez, Yuyan Hua, Charlotte Chou and 2 more

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Anh Ngan Nguyen *School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.
Oscar Osorio-Perez *School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.
David Jackemeyer *Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Eliana Terrera *Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Shaun VictorCenter for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Ayushi PradhanSchool of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.
Fang ChenCenter for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Rodrigo Ezequiel DominguezCenter for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-2252-0715
Yuyan HuaAmazon, 1100 Enterprise Way, Sunnyvale, CA, USA.
Charlotte ChouAmazon, 1100 Enterprise Way, Sunnyvale, CA, USA.
Shan ChengAmazon, 1100 Enterprise Way, Sunnyvale, CA, USA. chengs@amazon.com.ORCID http://orcid.org/0009-0001-7923-0065
Erica ForzaniSchool of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA. eforzani@arizona.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveWe present the first receiver operating characteristic (ROC) diagnostic analysis of skin-excreted acetone as a biomarker of ketosis. PARTICIPANTS/

methodsIn an 8-week controlled crossover pilot study (n = 16), we evaluated the ability of skin-emitted acetone to differentiate metabolic ketosis from non-ketosis states. Non-ketosis was established via a normal diet/energy balance, while ketosis was induced through dietary and energy manipulations, including ketogenic diets and negative energy balances. Alongside skin acetone concentration and excretion rate, we quantified a comprehensive set of ketone body parameters for comparative diagnostic purposes, including breath acetone concentration and excretion rate, blood beta-hydroxybutyrate concentration, urine beta-hydroxybutyrate concentration and excretion rate, and urine acetoacetate concentration and excretion rate. Blood BHB (mM) served as the clinical benchmark for ketosis.

resultsROC curves were generated to evaluate the diagnostic performance of each biomarker in distinguishing between ketosis and non-ketosis. Both breath and skin acetone excretion rates achieved an area under the curve (AUC) of 0.83, outperforming several other ketone biomarkers. Similarly, breath acetone and skin acetone concentrations also exhibited AUCs of 0.82 and 0.83, respectively. In comparison, blood beta-hydroxybutyrate concentration and urine acetoacetate excretion rate both showed an AUC of 0.81, while urine beta-hydroxybutyrate excretion rate and concentration achieved AUCs of 0.66 and 0.68, respectively. Furthermore, breath and skin acetone excretion rates were systematically compared within and across participants. The correlation between the two reinforces the significance of skin acetone as a body ketone biomarker that diffuses through the skin, representing the body's acetone concentrations.

conclusionsOverall, the results highlight the potential of skin acetone excretion rate as a reliable, non-invasive biomarker of ketosis, with diagnostic accuracy comparable to that of blood-based standards, offering significant promise for continuous, wearable metabolic monitoring in clinical and health settings.

Indexed as

AcetoneKetosisSkin3-Hydroxybutyric AcidAcetoacetatesAdultArea Under CurveBiomarkersBreath TestsCross-Over StudiesDiet, KetogenicFemaleHumansMaleMiddle AgedPilot Projects3-Hydroxybutyric AcidAcetoacetatesacetoacetic acidAcetoneBiomarkers

Identifiers

PMID42414265
PMCPMC13627703

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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.