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A clinical perspective on the utility of alpha 1 antichymotrypsin for the early diagnosis of calcific aortic stenosis

Overview of attention for article published in Clinical Proteomics, April 2017
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Title
A clinical perspective on the utility of alpha 1 antichymotrypsin for the early diagnosis of calcific aortic stenosis
Published in
Clinical Proteomics, April 2017
DOI 10.1186/s12014-017-9147-z
Pubmed ID
Authors

Tatiana Martin-Rojas, Laura Mourino-Alvarez, Felix Gil-Dones, Fernando de la Cuesta, Esther Rosello-Lleti, Carlos M. Laborde, Miguel Rivera, Luis Fernando Lopez-Almodovar, Juan Antonio Lopez, Finn Akerstrom, Luis R. Padial, Maria G. Barderas

Abstract

Calcific aortic stenosis (CAS) is the most common heart valve disease in the elderly, representing an important economic and social burden in developed countries. Currently, there is no way to predict either the onset or progression of CAS, emphasizing the need to identify useful biomarkers for this condition. We performed a multi-proteomic analysis on different kinds of samples from CAS patients and healthy donors: tissue, secretome and plasma. The results were validated in an independent cohort of subjects by immunohistochemistry, western blotting and selected reaction monitoring. Alpha 1 antichymotrypsin (AACT) abundance was altered in the CAS samples, as confirmed in the validation phase. The significant changes observed in the amounts of this protein strongly suggest that it could be involved in the molecular mechanisms underlying CAS. In addition, our results suggest there is enhanced release of AACT into the extracellular fluids when the disease commences. The significant increase of AACT in CAS patients suggests it fulfils an important role in the physiopathology of this disease. These results permit us to propose that AACT may serve as a potential marker for the diagnosis of CAS, with considerable clinical value.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Researcher 3 14%
Librarian 2 9%
Professor > Associate Professor 2 9%
Professor 2 9%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Medicine and Dentistry 4 18%
Agricultural and Biological Sciences 2 9%
Nursing and Health Professions 1 5%
Psychology 1 5%
Other 1 5%
Unknown 9 41%
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 April 2017.
All research outputs
#18,542,806
of 22,965,074 outputs
Outputs from Clinical Proteomics
#224
of 285 outputs
Outputs of similar age
#235,392
of 309,918 outputs
Outputs of similar age from Clinical Proteomics
#4
of 6 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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