The Detection of Vancomycin in Sweat: A Next-Generation Digital Surrogate Marker for Antibiotic Tissue Penetration: A Pilot Study.

Antibiotic stewardship Clinical study Skin and soft tissue infections Sweat analysis Vancomycin Wearable sensors

Journal

Digital biomarkers
ISSN: 2504-110X
Titre abrégé: Digit Biomark
Pays: Switzerland
ID NLM: 101707633

Informations de publication

Date de publication:
Historique:
received: 01 09 2020
accepted: 09 11 2020
entrez: 22 2 2021
pubmed: 23 2 2021
medline: 23 2 2021
Statut: epublish

Résumé

Assuring adequate antibiotic tissue concentrations at the point of infection, especially in skin and soft tissue infections, is pivotal for an effective treatment and cure. Despite the global issue, a reliable AB monitoring test is missing. Inadequate antibiotic treatment leads to the development of antimicrobial resistances and toxic side effects. β-lactam antibiotics were already detected in sweat of patients treated with the respective antibiotics intravenously before. With the emergence of smartphone-based biosensors to analyse sweat on the spot of need, next-generation molecular digital biomarkers will be increasingly available for a non-invasive pharmacotherapy monitoring. Here, we investigated if the glycopeptide antibiotic vancomycin is detectable in sweat samples of in-patients treated with intravenous vancomycin. Eccrine sweat samples were collected using the Macroduct Sweat Collector®. Along every sweat sample, a blood sample was taken. Bio-fluid analysis was performed by Ultra-high Pressure Liquid Chromatograph-Tandem Quadrupole Mass Spectrometry coupled with tandem mass spectrometry. A total of 5 patients were included. Results demonstrate that vancomycin was detected in 5 out of 5 sweat samples. Specifically, vancomycin concentrations ranged from 0.011 to 0.118 mg/L in sweat and from 4.7 to 8.5 mg/L in blood. Our results serve as proof-of-concept that vancomycin is detectable in eccrine sweat and may serve as a surrogate marker for antibiotic tissue penetration. A targeted vancomycin treatment is crucial in patients with repetitive need for antibiotics and a variable antibiotic distribution such as in peripheral artery disease to optimize treatment effectiveness. If combined with on-skin smartphone-based biosensors and smartphone applications, the detection of antibiotic concentrations in sweat might enable a first digital, on-spot, lab-independent and non-invasive therapeutic drug monitoring in skin and soft tissue infections.

Sections du résumé

BACKGROUND BACKGROUND
Assuring adequate antibiotic tissue concentrations at the point of infection, especially in skin and soft tissue infections, is pivotal for an effective treatment and cure. Despite the global issue, a reliable AB monitoring test is missing. Inadequate antibiotic treatment leads to the development of antimicrobial resistances and toxic side effects. β-lactam antibiotics were already detected in sweat of patients treated with the respective antibiotics intravenously before. With the emergence of smartphone-based biosensors to analyse sweat on the spot of need, next-generation molecular digital biomarkers will be increasingly available for a non-invasive pharmacotherapy monitoring.
OBJECTIVE OBJECTIVE
Here, we investigated if the glycopeptide antibiotic vancomycin is detectable in sweat samples of in-patients treated with intravenous vancomycin.
METHODS METHODS
Eccrine sweat samples were collected using the Macroduct Sweat Collector®. Along every sweat sample, a blood sample was taken. Bio-fluid analysis was performed by Ultra-high Pressure Liquid Chromatograph-Tandem Quadrupole Mass Spectrometry coupled with tandem mass spectrometry.
RESULTS RESULTS
A total of 5 patients were included. Results demonstrate that vancomycin was detected in 5 out of 5 sweat samples. Specifically, vancomycin concentrations ranged from 0.011 to 0.118 mg/L in sweat and from 4.7 to 8.5 mg/L in blood.
CONCLUSION CONCLUSIONS
Our results serve as proof-of-concept that vancomycin is detectable in eccrine sweat and may serve as a surrogate marker for antibiotic tissue penetration. A targeted vancomycin treatment is crucial in patients with repetitive need for antibiotics and a variable antibiotic distribution such as in peripheral artery disease to optimize treatment effectiveness. If combined with on-skin smartphone-based biosensors and smartphone applications, the detection of antibiotic concentrations in sweat might enable a first digital, on-spot, lab-independent and non-invasive therapeutic drug monitoring in skin and soft tissue infections.

Identifiants

pubmed: 33615119
doi: 10.1159/000512947
pii: dib-0005-0024
pmc: PMC7879282
doi:

Types de publication

Journal Article

Langues

eng

Pagination

24-28

Informations de copyright

Copyright © 2021 by S. Karger AG, Basel.

Déclaration de conflit d'intérêts

M.O. received a project grant and consulting fees from Pharming Biotechnologies B.V. with regards to a different project. J.E. is holding 0.5% of virtual shares of Preventicus. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Noé Brasier (N)

CMIO Research Group, Department of Digitalization and ICT, University Hospital Basel, Basel, Switzerland.

Andreas Widmer (A)

Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.

Michael Osthoff (M)

Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University Basel, Basel, Switzerland.

Markus Mutke (M)

CMIO Research Group, Department of Digitalization and ICT, University Hospital Basel, Basel, Switzerland.
Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Fiorangelo De Ieso (F)

CMIO Research Group, Department of Digitalization and ICT, University Hospital Basel, Basel, Switzerland.
Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Pascale Brasier-Lutz (P)

Department of Gynaecology, Kantonsspital Luzern, Standort Wolhusen, Wolhusen, Switzerland.

Kitty Brown (K)

Analytical Resources Core, Bioanalysis and Omics Center, Colorado State University, Fort Collins, Colorado, USA.

Linxing Yao (L)

Analytical Resources Core, Bioanalysis and Omics Center, Colorado State University, Fort Collins, Colorado, USA.

Corey D Broeckling (CD)

Analytical Resources Core, Bioanalysis and Omics Center, Colorado State University, Fort Collins, Colorado, USA.

Jessica Prenni (J)

Department of Horticulture and Landscape, Colorado State University, Fort Collins, Colorado, USA.

Jens Eckstein (J)

CMIO Research Group, Department of Digitalization and ICT, University Hospital Basel, Basel, Switzerland.
Division of Internal Medicine, University Hospital Basel, Basel, Switzerland.

Classifications MeSH