↓ Skip to main content

Peptide Composition of Stroke Causing Emboli Correlate with Serum Markers of Atherosclerosis and Inflammation

Overview of attention for article published in Frontiers in Neurology, September 2017
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
33 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Peptide Composition of Stroke Causing Emboli Correlate with Serum Markers of Atherosclerosis and Inflammation
Published in
Frontiers in Neurology, September 2017
DOI 10.3389/fneur.2017.00427
Pubmed ID
Authors

Neal M. Rao, Joseph Capri, Whitaker Cohn, Maram Abdaljaleel, Lucas Restrepo, Jeffrey A. Gornbein, William H. Yong, David S. Liebeskind, Julian P. Whitelegge

Abstract

The specific protein composition of stroke-causing emboli is unknown. Because ischemic stroke has a varied etiology, it is possible that the composition of the thrombus from which an embolus originated will have distinctive molecular characteristics reflective of the underlying pathophysiology. We used mass spectrometry to evaluate the protein composition of retrieved emboli from patients with differing stroke etiologies and correlated the protein levels to serum predictors of atherosclerosis. Emboli from 20 consecutive acute stroke patients were retrieved by thrombectomy during routine stroke care. Thrombus proteins were extracted, digested, and multidimensional fractionation of peptides was performed. Fractionated peptides underwent nano-liquid chromatography with tandem mass spectrometry. Spectra were searched using Mascot software in which results with p < 0.05 (95% confidence interval) were considered significant and indicating identity. The results were correlated to A1C, low-density lipoprotein (LDL), and erythrocyte sedimentation rate (ESR) taken on admission. Eleven patients had atrial fibrillation, four had significant proximal vessel atherosclerosis, two were cryptogenic, and three had other identified stroke risk factors (left ventricular thrombus, dissection, endocarditis). Eighty-one common proteins (e.g., hemoglobin, fibrin, actin) were found in all 20 emboli. Serum LDL levels correlated with Septin-2 (rs = 0.78, p = 0.028), Phosphoglycerate Kinase 1 (rs = 0.75, p = 0.036), Integrin Alpha-M (rs = 0.68, p = 0.033) and Glucose-6-phosphate dehydrogenase (rs = 0.63, p = 0.05). Septin-7 levels inversely correlated to ESR (rs = -0.84, p = 0.01). No significant protein correlations to A1C or tPA use were found. Our exploratory study presents mass spectrometry analysis of thrombi retrieved from acute stroke patients and correlates the thrombus proteome to clinical features of the patient. Notably, we found proteins associated with inflammation (e.g., Integrin Alpha-M) in emboli from patients with high LDL. Although these findings are tempered by a small sample size, we provide preliminary support for the feasibility of utilizing proteomic analysis of emboli to discover proteins that may be used as markers for stroke etiology.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Other 5 15%
Student > Bachelor 5 15%
Student > Doctoral Student 3 9%
Student > Postgraduate 2 6%
Other 4 12%
Unknown 9 27%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Neuroscience 4 12%
Agricultural and Biological Sciences 1 3%
Unspecified 1 3%
Psychology 1 3%
Other 0 0%
Unknown 17 52%
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 21 September 2017.
All research outputs
#19,624,055
of 24,135,931 outputs
Outputs from Frontiers in Neurology
#8,439
of 13,160 outputs
Outputs of similar age
#247,657
of 319,941 outputs
Outputs of similar age from Frontiers in Neurology
#137
of 203 outputs
Altmetric has tracked 24,135,931 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 25th percentile – i.e., 25% 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 319,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.