ArticleNature communications2021
Finger sweat analysis enables short interval metabolic biomonitoring in humans.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 85 citations in OpenAlex.
- A full-range sweat rate sensor with superhydrophobic heterophase shunt for psychology, skin health and body dehydration evaluating.Science advances · 2026Article
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Sweat as a diagnostic biofluid: analytical advances and future directions.Journal of pharmaceutical analysis · 2026Review
- Differential polarization on assembled graphene electrodes for sweat metabolites detection.iScience · 2026Article
- Biomolecular profiling for noninvasive health monitoring.Nature biotechnology · 2026Review
- Article
- Analysis of postmortem dermal extracts is an efficient illicit drug screening method supporting forensic medicine.Scientific reports · 2026Article
- Carbon Nanotube-Induced Enzyme Polymerization for Wearable Multifunctional Biosensors in Sweat Analysis.JACS Au · 2026Article
- Body Biofluids for Minimally-Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential.Advanced healthcare materials · 2026Review
- Review
- Eccrine sweat reveals normalization of artificial sweetener levels in children with overweight after nutritional education.iScience · 2025Article
- All-flexible chronoepifluidic nanoplasmonic patch for label-free metabolite profiling in sweat.Nature communications · 2025Article
- Continuous Monitoring with AI-Enhanced BioMEMS Sensors: A Focus on Sustainable Energy Harvesting and Predictive Analytics.Micromachines · 2025Review
- Advancements in Wearable and Implantable BioMEMS Devices: Transforming Healthcare Through Technology.Micromachines · 2025Review
- Mass spectrometry-based analysis of eccrine sweat supports predictive, preventive and personalised medicine in a cohort of breast cancer patients in Austria.The EPMA journal · 2025Article
- Biomonitoring Xenobiotics in Human Biospecimens: Challenges, Advances, and the Future of Exposome Characterization.Reviews of environmental contamination and toxicology · 2025Article
- A novel non-invasive sweat lactate biosensor and its application in human exercise monitoring.Frontiers in bioengineering and biotechnology · 2025Article
- Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Nature-Inspired Superhydrophilic Biosponge as Structural Beneficial Platform for Sweating Analysis Patch.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Ethnic Aspects of Valproic Acid P-Oxidation.Biomedicines · 2024Review
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.