The skin reservoir model: A tool for evaluating microdialysis sampling of large biomarkers from human skin

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

The skin reservoir model : A tool for evaluating microdialysis sampling of large biomarkers from human skin. / Baumann, Katrine; Falkencrone, Sidsel; Knudsen, Niels Peter Hell; Woetmann, Anders; Dabelsteen, Sally; Skov, Per Stahl.

In: Acta Dermato-Venereologica, Vol. 100, No. 1, adv00008, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Baumann, K, Falkencrone, S, Knudsen, NPH, Woetmann, A, Dabelsteen, S & Skov, PS 2020, 'The skin reservoir model: A tool for evaluating microdialysis sampling of large biomarkers from human skin', Acta Dermato-Venereologica, vol. 100, no. 1, adv00008. https://doi.org/10.2340/00015555-3356

APA

Baumann, K., Falkencrone, S., Knudsen, N. P. H., Woetmann, A., Dabelsteen, S., & Skov, P. S. (2020). The skin reservoir model: A tool for evaluating microdialysis sampling of large biomarkers from human skin. Acta Dermato-Venereologica, 100(1), [adv00008]. https://doi.org/10.2340/00015555-3356

Vancouver

Baumann K, Falkencrone S, Knudsen NPH, Woetmann A, Dabelsteen S, Skov PS. The skin reservoir model: A tool for evaluating microdialysis sampling of large biomarkers from human skin. Acta Dermato-Venereologica. 2020;100(1). adv00008. https://doi.org/10.2340/00015555-3356

Author

Baumann, Katrine ; Falkencrone, Sidsel ; Knudsen, Niels Peter Hell ; Woetmann, Anders ; Dabelsteen, Sally ; Skov, Per Stahl. / The skin reservoir model : A tool for evaluating microdialysis sampling of large biomarkers from human skin. In: Acta Dermato-Venereologica. 2020 ; Vol. 100, No. 1.

Bibtex

@article{0e2f435e49c0427eb3e99c162f60bd48,
title = "The skin reservoir model: A tool for evaluating microdialysis sampling of large biomarkers from human skin",
abstract = "Microdialysis is a well-established technique for sampling of small molecules from the human skin, but larger molecules are more difficult to recover. Consequently, sampling feasibility must be evaluated before microdialysis is used in vivo. This report presents a tool for estimating the recovery of large biomarkers from human skin by microdialysis, using previously frozen human skin specimens as reservoirs for biomarker reference solutions. Recovery of the following 17 biomarkers was assessed: CCL27/CTACK, CXCL1/GROα, CXCL7/ NAP-2, CXCL10/IP-10, EGF, GM-CSF, IFN-γ, IL-1α, IL-6, IL-8, IL-17, IL-22, IL-23, MIF, TNF-α, TSLP and VEGF. The relative skin recoveries of 13/17 biomarkers were successfully determined in the range 4.0– 18.4%. Sampling in the skin reservoir model was not associated with probe leakage, as fluid recovery was stable, at between 80% and 110%. Furthermore, the skin reservoir model enabled studies and optimization of different parameters known to affect biomarker recovery, including flow rate and perfusate composition.",
keywords = "Biomarker, Cytokine, Microdialysis, Skin",
author = "Katrine Baumann and Sidsel Falkencrone and Knudsen, {Niels Peter Hell} and Anders Woetmann and Sally Dabelsteen and Skov, {Per Stahl}",
year = "2020",
doi = "10.2340/00015555-3356",
language = "English",
volume = "100",
journal = "Acta Dermato-Venereologica",
issn = "0001-5555",
publisher = "Society for the Publication of Acta Dermato - Venereologica",
number = "1",

}

RIS

TY - JOUR

T1 - The skin reservoir model

T2 - A tool for evaluating microdialysis sampling of large biomarkers from human skin

AU - Baumann, Katrine

AU - Falkencrone, Sidsel

AU - Knudsen, Niels Peter Hell

AU - Woetmann, Anders

AU - Dabelsteen, Sally

AU - Skov, Per Stahl

PY - 2020

Y1 - 2020

N2 - Microdialysis is a well-established technique for sampling of small molecules from the human skin, but larger molecules are more difficult to recover. Consequently, sampling feasibility must be evaluated before microdialysis is used in vivo. This report presents a tool for estimating the recovery of large biomarkers from human skin by microdialysis, using previously frozen human skin specimens as reservoirs for biomarker reference solutions. Recovery of the following 17 biomarkers was assessed: CCL27/CTACK, CXCL1/GROα, CXCL7/ NAP-2, CXCL10/IP-10, EGF, GM-CSF, IFN-γ, IL-1α, IL-6, IL-8, IL-17, IL-22, IL-23, MIF, TNF-α, TSLP and VEGF. The relative skin recoveries of 13/17 biomarkers were successfully determined in the range 4.0– 18.4%. Sampling in the skin reservoir model was not associated with probe leakage, as fluid recovery was stable, at between 80% and 110%. Furthermore, the skin reservoir model enabled studies and optimization of different parameters known to affect biomarker recovery, including flow rate and perfusate composition.

AB - Microdialysis is a well-established technique for sampling of small molecules from the human skin, but larger molecules are more difficult to recover. Consequently, sampling feasibility must be evaluated before microdialysis is used in vivo. This report presents a tool for estimating the recovery of large biomarkers from human skin by microdialysis, using previously frozen human skin specimens as reservoirs for biomarker reference solutions. Recovery of the following 17 biomarkers was assessed: CCL27/CTACK, CXCL1/GROα, CXCL7/ NAP-2, CXCL10/IP-10, EGF, GM-CSF, IFN-γ, IL-1α, IL-6, IL-8, IL-17, IL-22, IL-23, MIF, TNF-α, TSLP and VEGF. The relative skin recoveries of 13/17 biomarkers were successfully determined in the range 4.0– 18.4%. Sampling in the skin reservoir model was not associated with probe leakage, as fluid recovery was stable, at between 80% and 110%. Furthermore, the skin reservoir model enabled studies and optimization of different parameters known to affect biomarker recovery, including flow rate and perfusate composition.

KW - Biomarker

KW - Cytokine

KW - Microdialysis

KW - Skin

U2 - 10.2340/00015555-3356

DO - 10.2340/00015555-3356

M3 - Journal article

C2 - 31626324

AN - SCOPUS:85077869187

VL - 100

JO - Acta Dermato-Venereologica

JF - Acta Dermato-Venereologica

SN - 0001-5555

IS - 1

M1 - adv00008

ER -

ID: 235591413