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Examining hemodialyzer membrane performance using proteomic technologies

Overview of attention for article published in Therapeutics and Clinical Risk Management, December 2017
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Title
Examining hemodialyzer membrane performance using proteomic technologies
Published in
Therapeutics and Clinical Risk Management, December 2017
DOI 10.2147/tcrm.s150824
Pubmed ID
Authors

Mario Bonomini, Luisa Pieroni, Lorenzo Di Liberato, Vittorio Sirolli, Andrea Urbani

Abstract

The success and the quality of hemodialysis therapy are mainly related to both clearance and biocompatibility properties of the artificial membrane packed in the hemodialyzer. Performance of a membrane is strongly influenced by its interaction with the plasma protein repertoire during the extracorporeal procedure. Recognition that a number of medium-high molecular weight solutes, including proteins and protein-bound molecules, are potentially toxic has prompted the development of more permeable membranes. Such membrane engineering, however, may cause loss of vital proteins, with membrane removal being nonspecific. In addition, plasma proteins can be adsorbed onto the membrane surface upon blood contact during dialysis. Adsorption can contribute to the removal of toxic compounds and governs the biocompatibility of a membrane, since surface-adsorbed proteins may trigger a variety of biologic blood pathways with pathophysiologic consequences. Over the last years, use of proteomic approaches has allowed polypeptide spectrum involved in the process of hemodialysis, a key issue previously hampered by lack of suitable technology, to be assessed in an unbiased manner and in its full complexity. Proteomics has been successfully applied to identify and quantify proteins in complex mixtures such as dialysis outflow fluid and fluid desorbed from dialysis membrane containing adsorbed proteins. The identified proteins can also be characterized by their involvement in metabolic and signaling pathways, molecular networks, and biologic processes through application of bioinformatics tools. Proteomics may thus provide an actual functional definition as to the effect of a membrane material on plasma proteins during hemodialysis. Here, we review the results of proteomic studies on the performance of hemodialysis membranes, as evaluated in terms of solute removal efficiency and blood-membrane interactions. The evidence collected indicates that the information provided by proteomic investigations yields improved molecular and functional knowledge and may lead to the development of more efficient membranes for the potential benefit of the patient.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Bachelor 8 17%
Researcher 5 11%
Student > Postgraduate 4 9%
Student > Doctoral Student 2 4%
Other 7 15%
Unknown 12 26%
Readers by discipline Count As %
Engineering 12 26%
Medicine and Dentistry 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Chemical Engineering 2 4%
Other 5 11%
Unknown 15 33%
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 18 December 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,204
of 1,323 outputs
Outputs of similar age
#384,359
of 444,941 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#23
of 24 outputs
Altmetric has tracked 25,382,440 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 1,323 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.