Copenhagen 2016 Registration Programme Exhibitor Information Virtual Exhibition Satellite Meetings Glaucoma Day 2016 Hotel Star Alliance
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10 - 14 Sept. 2016, Bella Center, Copenhagen, Denmark

This Meeting has been awarded 27 CME credits

 

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Posters

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Deep layers morphology study in human corneas by the use of confocal microscopy

Poster Details

First Author: L. Menabuoni ITALY

Co Author(s):    A. Malandrini   A. Canovetti   L. Buzzonetti   F. Tatini   G. Magni   F. Rossi     

Abstract Details

Purpose:

To investigate the morphology of predescemetic collagen layers in human corneas, in order to find correlation with age, pathology and to find out new indications to surgical manoeuvres.

Setting:

Nuovo Ospedale S. Stefano, Prato, Italy; Ospedale Pediatrico Bambino Gesù, Rome, Italy

Methods:

Corneas from patients undergoing transplantation and healthy corneas not suitable for transplantation were collected. The samples were grouped into two: one group is from 20 adult subjects aged 59 ± 18 y.o., and the other group is from 15 young subjects, aged 12±5 y.o. The analysis of the deep stroma was performed by confocal microscopy: the corneas were sectioned and incubated with Collagen VI primary antibody, Alexa Fluor-conjugated secondary antibody, and with Phalloidin-Atto 550. Slices were mounted with fluoroshield containing DAPI and visualized using a confocal Leica SP8 scanning microscope. Images were acquired in z-series scans at 0.3 µm intervals.

Results:

Confocal microscopy analysis of posterior cornea has been performed in order to investigate relevant parameters such as cellular distribution and morphology, and collagen VI characteristics. A predescemetic layer with a higher concentration of collagen I and some samples with a higher concentration of collagen VI was found. High variability due to age and pathology was found.

Conclusions:

It seems that there is a different distribution of collagen type I and collagen type VI in the deep layers of the cornea, depending on age and pathology. A larger study is needed to improve statistics.

Financial Disclosure:

NONE

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