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Profiling of metalloprotease activities in cerebrospinal fluids of patients with neoplastic meningitis

Overview of attention for article published in Fluids and Barriers of the CNS, August 2017
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Title
Profiling of metalloprotease activities in cerebrospinal fluids of patients with neoplastic meningitis
Published in
Fluids and Barriers of the CNS, August 2017
DOI 10.1186/s12987-017-0070-5
Pubmed ID
Authors

Catharina Conrad, Kristina Dorzweiler, Miles A. Miller, Douglas A. Lauffenburger, Herwig Strik, Jörg W. Bartsch

Abstract

Neoplastic invasion into leptomeninges and subarachnoid space, resulting in neoplastic meningitis (NM) is a fatal complication of advanced solid and hematological neoplasms. Identification of malignant involvement of the cerebrospinal fluid (CSF) early in the disease course has crucial prognostic and therapeutic implications, but remains challenging. As indicators of extracellular matrix (ECM) degradation and breakdown of the blood-brain-barrier, Matrix Metalloproteases (MMPs) and A Disintegrin and Metalloproteases (ADAMs) are potential analytes for cerebral pathophysiology and metastatic dissemination of tumor cells into the CSF. We compared protease activities in CSF samples from patients with NM and control individuals using FRET-based metalloprotease substrates with distinct enzyme selectivity profiles in a real-time, multiplex approach termed "proteolytic activity matrix assay" (PrAMA). Protease activity dynamics can be tracked by fluorescence changes over time. By simultaneously monitoring a panel of 5 FRET-substrate cleavages, a proteolytic signature can be identified and analyzed to infer the activities of multiple specific proteases. Distinct patterns of substrate cleavage comparing disease vs. control samples allow rapid, reproducible and sensitive discrimination even in small volumes of CSF. Individual substrate cleavage rates were linked to distinct proteases, and PrAMA computational inference implied increased activities of MMP-9, ADAM8 and ADAM17 (4-5-fold on average) in CSF samples from NM patients that were inhibitable by the metalloprotease inhibitor batimastat (BB-94). The activities of these proteases correlated with blood-brain barrier impairment. Notably, CSF cell counts were not found to directly reflect the protease activities observed in CSF samples from NM patients; this may explain the frequent clinical observation of negative cytology in NM patients. PrAMA analysis of CSF samples is a potential diagnostic method for sensitive detection of NM and may be suitable for the clinical routine.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 27%
Student > Doctoral Student 3 10%
Researcher 3 10%
Professor 2 7%
Student > Ph. D. Student 2 7%
Other 3 10%
Unknown 9 30%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Biochemistry, Genetics and Molecular Biology 6 20%
Materials Science 2 7%
Neuroscience 2 7%
Nursing and Health Professions 1 3%
Other 4 13%
Unknown 8 27%
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 01 February 2018.
All research outputs
#18,584,192
of 23,018,998 outputs
Outputs from Fluids and Barriers of the CNS
#274
of 368 outputs
Outputs of similar age
#243,409
of 317,660 outputs
Outputs of similar age from Fluids and Barriers of the CNS
#5
of 5 outputs
Altmetric has tracked 23,018,998 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 368 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 12th percentile – i.e., 12% 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 317,660 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 5 others from the same source and published within six weeks on either side of this one.