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The homing of bone marrow stem cells is differentially activated in ischemic and valvular heart diseases and influenced by beta-blockers

Overview of attention for article published in Journal of Translational Medicine, May 2018
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Title
The homing of bone marrow stem cells is differentially activated in ischemic and valvular heart diseases and influenced by beta-blockers
Published in
Journal of Translational Medicine, May 2018
DOI 10.1186/s12967-018-1520-9
Pubmed ID
Authors

Melissa Kristocheck, Lucinara D. Dias, Carine Ghem, Bruna Eibel, Renato A. K. Kalil, Melissa M. Markoski

Abstract

Cell homing is the mechanism by which an injury releases signaling molecules that cause recruitment, proliferation, migration and differentiation of progenitor cells. Stromal derived factor-1 (SDF-1) and its receptor CXCR4 are key molecules involved in homing and little is known about their activation in cardiopathies. Here, we assessed the homing activation status of bone marrow cells (BMC) concerning the SDF-1 and CXCR4 expression in ischemic (IHD) and valvular (VHD) heart diseases. The SDF-1 and inflammatory profile were analyzed by ELISA from plasma obtained bone marrow of ischemic heart patients (IHD, n = 41), valvular heart patients (VHD, n = 30) and healthy controls (C, n = 9). Flow cytometry was used to evaluate CXCR4 (CD184) expression on the surface of bone marrow cells, and the CXCR4 expression was estimated by real-time quantitative PCR. The SDF-1 levels in the groups IHD, VHD and control were, respectively, 230, 530 and 620 pg/mL (P = 0.483), and was decreased in VHD patients using beta-blockers (263 pg/mL) when compared with other (844 pg/mL) (P = 0.023). Compared with IHD, the VHD group showed higher CXCR4 (P = 0.071) and CXCR7 (P = 0.082) mRNA expression although no difference in the level of CXCR4+ bone marrow cells was found between groups (P = 0.360). In conclusion, pathophysiological differences between IHD and VHD can affect the molecules involved in the activation of homing. In addition, the use of beta-blockers appears to interfere in this mechanism, a fact that should be considered in protocols that use BMC.

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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 > Ph. D. Student 5 23%
Student > Bachelor 4 18%
Student > Master 2 9%
Student > Postgraduate 2 9%
Professor 1 5%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 23%
Medicine and Dentistry 5 23%
Materials Science 2 9%
Nursing and Health Professions 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 23 May 2018.
All research outputs
#20,504,518
of 23,070,218 outputs
Outputs from Journal of Translational Medicine
#3,354
of 4,045 outputs
Outputs of similar age
#289,841
of 330,209 outputs
Outputs of similar age from Journal of Translational Medicine
#58
of 100 outputs
Altmetric has tracked 23,070,218 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 4,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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