↓ Skip to main content

Cerebral Microdialysis for Protein Biomarker Monitoring in the Neurointensive Care Setting – A Technical Approach

Overview of attention for article published in Frontiers in Neurology, December 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
64 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
Cerebral Microdialysis for Protein Biomarker Monitoring in the Neurointensive Care Setting – A Technical Approach
Published in
Frontiers in Neurology, December 2014
DOI 10.3389/fneur.2014.00245
Pubmed ID
Authors

Lars Hillered, Andreas P. Dahlin, Fredrik Clausen, Jiangtao Chu, Jonas Bergquist, Klas Hjort, Per Enblad, Anders Lewén

Abstract

Cerebral microdialysis (MD) was introduced as a neurochemical monitoring method in the early 1990s and is currently widely used for the sampling of low molecular weight molecules, signaling energy crisis, and cellular distress in the neurointensive care (NIC) setting. There is a growing interest in MD for harvesting of intracerebral protein biomarkers of secondary injury mechanisms in acute traumatic and neurovascular brain injury in the NIC community. The initial enthusiasm over the opportunity to sample protein biomarkers with high molecular weight cut-off MD catheters has dampened somewhat with the emerging realization of inherent methodological problems including protein-protein interaction, protein adhesion, and biofouling, causing an unstable in vivo performance (i.e., fluid recovery and extraction efficiency) of the MD catheter. This review will focus on the results of a multidisciplinary collaborative effort, within the Uppsala Berzelii Centre for Neurodiagnostics during the past several years, to study the features of the complex process of high molecular weight cut-off MD for protein biomarkers. This research has led to new methodology showing robust in vivo performance with optimized fluid recovery and improved extraction efficiency, allowing for more accurate biomarker monitoring. In combination with evolving analytical methodology allowing for multiplex biomarker analysis in ultra-small MD samples, a new opportunity opens up for high-resolution temporal mapping of secondary injury cascades, such as neuroinflammation and other cell injury reactions directly in the injured human brain. Such data may provide an important basis for improved characterization of complex injuries, e.g., traumatic and neurovascular brain injury, and help in defining targets and treatment windows for neuroprotective drug development.

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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Austria 1 2%
Romania 1 2%
Spain 1 2%
Poland 1 2%
Unknown 59 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Ph. D. Student 9 14%
Student > Master 8 13%
Other 4 6%
Student > Bachelor 4 6%
Other 13 20%
Unknown 12 19%
Readers by discipline Count As %
Medicine and Dentistry 21 33%
Neuroscience 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Agricultural and Biological Sciences 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 8 13%
Unknown 15 23%
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 03 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from Frontiers in Neurology
#7,692
of 11,666 outputs
Outputs of similar age
#261,380
of 360,895 outputs
Outputs of similar age from Frontiers in Neurology
#58
of 83 outputs
Altmetric has tracked 22,772,779 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 11,666 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 360,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.