↓ Skip to main content

Bacterial contamination of amniotic membrane in a tissue bank from Iran

Overview of attention for article published in Cell and Tissue Banking, October 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
35 Mendeley
Title
Bacterial contamination of amniotic membrane in a tissue bank from Iran
Published in
Cell and Tissue Banking, October 2012
DOI 10.1007/s10561-012-9345-x
Pubmed ID
Authors

Hamid Reza Aghayan, Parisa Goodarzi, Alireza Baradaran-Rafii, Bagher Larijani, Leila Moradabadi, Fakher Rahim, Babak Arjmand

Abstract

Human Amniotic Membrane (AM) transplantation can promote tissue healing and reduce inflammation, tissue scarring and neovascularization. Homa Peyvand Tamin (HPT) tissue bank has focused on manufacturing human cell and tissue based products including AM. The purpose of this study is to evaluate and identify bacterial contamination of AMs that is produced by HPT for several ophthalmic applications. From July 2006 to April 2011, 122 placentas from cesarean sections were retrieved by HPT after obtaining informed consent from the donors. Besides testing donor's blood sample for viral markers, microbiological evaluation was performed pre and post processing. During tissue processing, decontamination was performed by an antibiotic cocktail including; Gentamicin, Ceftriaxone and Cloxacillin. Of 271 cesarean section AM donors who were screened as potential donors, 122 were accepted for processing and assessed for microbiological contamination. Donors' age were between 21 and 41 years (Mean = 27.61 ± 0.24). More than 92% of mothers were in their first or second gravidity with full term pregnancies. The most prevalent organisms were Staphylococci species (72.53%). After processing, contamination rates markedly decreased by 84.62% (p value = 0.013). According to our results, most of bacterial contaminations were related to donation process and the contamination pattern suggests procurement team as a source. Therefore we recommend that regular training programs should be implemented by tissue banks for procurement staff. These programs should focus on improved donor screening and proper aseptic technique for tissue retrieval. We also suggest that tissue banks should periodically check the rate and types of tissue contaminations. These data help them to find system faults and to update processing methods.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 4 11%
Student > Bachelor 4 11%
Librarian 3 9%
Student > Doctoral Student 3 9%
Other 12 34%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 15 43%
Agricultural and Biological Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Immunology and Microbiology 2 6%
Social Sciences 2 6%
Other 4 11%
Unknown 6 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2014.
All research outputs
#20,221,866
of 22,745,803 outputs
Outputs from Cell and Tissue Banking
#217
of 287 outputs
Outputs of similar age
#163,452
of 183,485 outputs
Outputs of similar age from Cell and Tissue Banking
#2
of 3 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 183,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.