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European Journal of Pharmaceutical Sciences
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Diagnostic opportunities based on skin biomarkers

Authors: Sumit, Paliwal; Byeong Hee, Hwang; Kenneth Y, Tsai; Samir, Mitragotri;

Diagnostic opportunities based on skin biomarkers

Abstract

Systemic as well as localized skin diseases modify the molecular composition of human skin. Changes in skin chemistry have been observed in diseases such as cancer, psoriasis, eczema, diabetes, and atherosclerosis. Skin chemistry, represented by an enormous wealth of disease biomarkers including lipids, structural proteins, inflammatory mediators, nucleic acids and small molecules, therefore, can serve as a "window to body's health". Various methods including tape-stripping, iontophoresis, microneedles and ultrasound, among others, are being developed to access skin biomarkers and understand skin's detailed molecular composition. This information provides opportunities to diagnose various diseases and their response to therapeutic treatments. This review provides an overview of such diagnostic and theranostic opportunities.

Keywords

Humans, Skin Diseases, Biomarkers, Skin

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    75
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
75
Top 1%
Top 10%
Top 10%
gold
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