Real-time continuous measurement of lactate through a minimally invasive microneedle patch: a phase I clinical study
| Autor: | Damien K Ming, Saylee Jangam, Sally A N Gowers, Richard Wilson, David M E Freeman, Martyn G Boutelle, Anthony E G Cass, Danny O’Hare, Alison H Holmes |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | BMJ Innovations. 8:87-94 |
| ISSN: | 2055-642X 2055-8074 |
| DOI: | 10.1136/bmjinnov-2021-000864 |
| Popis: | IntroductionDetermination of blood lactate levels supports decision-making in a range of medical conditions. Invasive blood-sampling and laboratory access are often required, and measurements provide a static profile at each instance. We conducted a phase I clinical study validating performance of a microneedle patch for minimally invasive, continuous lactate measurement in healthy volunteers.MethodsFive healthy adult participants wore a solid microneedle biosensor patch on their forearms and undertook aerobic exercise for 30 min. The microneedle biosensor quantifies lactate concentrations in interstitial fluid within the dermis continuously and in real-time. Outputs were captured as sensor current and compared with lactate concentrations from venous blood and microdialysis.ResultsThe biosensor was well-tolerated. Participants generated a median peak venous lactate of 9.25 mmol/L (IQR 6.73–10.71). Microdialysate concentrations of lactate closely correlated with blood. Microneedle biosensor current followed venous lactate concentrations and dynamics, with good agreement seen in all participants. There was an estimated lag-time of 5 min (IQR −4 to 11 min) between microneedle and blood lactate measurements.ConclusionThis study provides first-in-human data on use of a minimally invasive microneedle patch for continuous lactate measurement, providing dynamic monitoring. This low-cost platform offers distinct advantages to frequent blood sampling in a wide range of clinical settings, especially where access to laboratory services is limited or blood sampling is infeasible. Implementation of this technology in healthcare settings could support personalised decision-making in a variety of hospital and community settings.Trial registration numberNCT04238611. |
| Databáze: | OpenAIRE |
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