Re: Identification and dynamics of proteins adhering to the surface of medical silicones in vivo and in vitro

[Guest guest]

Thank you, thank you.

Do you have a website/link for this? I tried to track it down on PubMed, but

I'm no good at it.

M.

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> From one of our " Sisters "

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> Always a good one to give your doctors...

> so they can be informed tooo....

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> 1.

> J Proteome Res. 2007 Jan;6(1):376-81.

> Identification and dynamics of proteins adhering to the surface of medical

silicones in vivo and in vitro.

> Backovic A, Huang HL, Del Frari B, Piza H, Huber LA, Wick G.

> Division for Experimental Pathophysiology and Immunology, Biocenter, Innsbruck

Medical University, Fritz-Pregl Str 3/IV, A6020 Innsbruck, Austria.

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> Abstract

> Silicone has been used in medical practice as a paradigmatic implant material

for decades despite significant detrimental side effects. Our targeted

proteomics approach was aimed at identification of the proteins adsorbed to the

surface of silicone because they have been characterized as key components in

the onset and perpetuation of local immune reactions to silicone. The

composition of the proteinacious film, the dynamics of protein deposition, and

protein modifications after adsorption were analyzed both in vivo and in vitro.

Differential analysis of protein deposition was performed, followed by protein

identification with mass spectrometry, database matching, and Western blots.

Thus far, we have identified the 30 most abundant proteins deposited on the

surface of silicone, the largest known inventory of such proteins so far.

Structural and extracellular matrix proteins predominated, followed by mediators

of host defense, metabolism, transport, and stress related proteins. In

addition, several biochemical modifications of fibronectin, vitronectin, and

heat shock protein 60 were detected. Our analyses also revealed previously

undetected proteins deposited on the surface of silicone. As tentative

initiators and/or modulators of the response to silicone, they are therefore

valuable candidates for prognosis and therapy.

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> Free Article

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> PMID: 17203981 [PubMed - indexed for MEDLINE]

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