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Finger sweat analysis enables short interval metabolic biomonitoring in humans

Author

Listed:
  • Julia Brunmair

    (Faculty of Chemistry, University of Vienna)

  • Mathias Gotsmy

    (Faculty of Chemistry, University of Vienna)

  • Laura Niederstaetter

    (Faculty of Chemistry, University of Vienna)

  • Benjamin Neuditschko

    (Faculty of Chemistry, University of Vienna
    Faculty of Chemistry, University of Vienna)

  • Andrea Bileck

    (Faculty of Chemistry, University of Vienna
    Joint Metabolome Facility, University and Medical University of Vienna)

  • Astrid Slany

    (Faculty of Chemistry, University of Vienna)

  • Max Lennart Feuerstein

    (Faculty of Chemistry, University of Vienna)

  • Clemens Langbauer

    (Faculty of Chemistry, University of Vienna)

  • Lukas Janker

    (Faculty of Chemistry, University of Vienna
    Joint Metabolome Facility, University and Medical University of Vienna)

  • Jürgen Zanghellini

    (Faculty of Chemistry, University of Vienna)

  • Samuel M. Meier-Menches

    (Faculty of Chemistry, University of Vienna
    Faculty of Chemistry, University of Vienna
    Joint Metabolome Facility, University and Medical University of Vienna)

  • Christopher Gerner

    (Faculty of Chemistry, University of Vienna
    Joint Metabolome Facility, University and Medical University of Vienna)

Abstract

Metabolic biomonitoring in humans is typically based on the sampling of blood, plasma or urine. Although established in the clinical routine, these sampling procedures are often associated with a variety of compliance issues, which are impeding time-course studies. Here, we show that the metabolic profiling of the minute amounts of sweat sampled from fingertips addresses this challenge. Sweat sampling from fingertips is non-invasive, robust and can be accomplished repeatedly by untrained personnel. The sweat matrix represents a rich source for metabolic phenotyping. We confirm the feasibility of short interval sampling of sweat from the fingertips in time-course studies involving the consumption of coffee or the ingestion of a caffeine capsule after a fasting interval, in which we successfully monitor all known caffeine metabolites as well as endogenous metabolic responses. Fluctuations in the rate of sweat production are accounted for by mathematical modelling to reveal individual rates of caffeine uptake, metabolism and clearance. To conclude, metabotyping using sweat from fingertips combined with mathematical network modelling shows promise for broad applications in precision medicine by enabling the assessment of dynamic metabolic patterns, which may overcome the limitations of purely compositional biomarkers.

Suggested Citation

  • Julia Brunmair & Mathias Gotsmy & Laura Niederstaetter & Benjamin Neuditschko & Andrea Bileck & Astrid Slany & Max Lennart Feuerstein & Clemens Langbauer & Lukas Janker & Jürgen Zanghellini & Samuel M, 2021. "Finger sweat analysis enables short interval metabolic biomonitoring in humans," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26245-4
    DOI: 10.1038/s41467-021-26245-4
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    References listed on IDEAS

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    1. Lydia A. Conlay & Jeffrey A. Conant & Fred deBros & Richard Wurtman, 1997. "Caffeine alters plasma adenosine levels," Nature, Nature, vol. 389(6647), pages 136-136, September.
    2. Aarti Jagannath & Norbert Varga & Robert Dallmann & Gianpaolo Rando & Pauline Gosselin & Farid Ebrahimjee & Lewis Taylor & Dragos Mosneagu & Jakub Stefaniak & Steven Walsh & Teele Palumaa & Simona Pre, 2021. "Adenosine integrates light and sleep signalling for the regulation of circadian timing in mice," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
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    Cited by:

    1. Sangha Kim & Seongjin Park & Jina Choi & Wonseop Hwang & Sunho Kim & In-Suk Choi & Hyunjung Yi & Rhokyun Kwak, 2022. "An epifluidic electronic patch with spiking sweat clearance for event-driven perspiration monitoring," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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