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Fine Mapping the Spatial Distribution and Concentration of Unlabeled Drugs within Tissue Micro-Compartments Using Imaging Mass Spectrometry

Overview of attention for article published in PLOS ONE, July 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
197 Dimensions

Readers on

mendeley
112 Mendeley
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Title
Fine Mapping the Spatial Distribution and Concentration of Unlabeled Drugs within Tissue Micro-Compartments Using Imaging Mass Spectrometry
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011411
Pubmed ID
Authors

Anna Nilsson, Thomas E. Fehniger, Lena Gustavsson, Malin Andersson, Kerstin Kenne, György Marko-Varga, Per E. Andrén

Abstract

Readouts that define the physiological distributions of drugs in tissues are an unmet challenge and at best imprecise, but are needed in order to understand both the pharmacokinetic and pharmacodynamic properties associated with efficacy. Here we demonstrate that it is feasible to follow the in vivo transport of unlabeled drugs within specific organ and tissue compartments on a platform that applies MALDI imaging mass spectrometry to tissue sections characterized with high definition histology. We have tracked and quantified the distribution of an inhaled reference compound, tiotropium, within the lungs of dosed rats, using systematic point by point MS and MS/MS sampling at 200 microm intervals. By comparing drug ion distribution patterns in adjacent tissue sections, we observed that within 15 min following exposure, tiotropium parent MS ions (mass-to-charge; m/z 392.1) and fragmented daughter MS/MS ions (m/z 170.1 and 152.1) were dispersed in a concentration gradient (80 fmol-5 pmol) away from the central airways into the lung parenchyma and pleura. These drug levels agreed well with amounts detected in lung compartments by chemical extraction. Moreover, the simultaneous global definition of molecular ion signatures localized within 2-D tissue space provides accurate assignment of ion identities within histological landmarks, providing context to dynamic biological processes occurring at sites of drug presence. Our results highlight an important emerging technology allowing specific high resolution identification of unlabeled drugs at sites of in vivo uptake and retention.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Sweden 1 <1%
Canada 1 <1%
Belgium 1 <1%
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 32%
Researcher 21 19%
Student > Bachelor 14 13%
Student > Master 7 6%
Student > Doctoral Student 4 4%
Other 15 13%
Unknown 15 13%
Readers by discipline Count As %
Chemistry 33 29%
Agricultural and Biological Sciences 19 17%
Biochemistry, Genetics and Molecular Biology 10 9%
Medicine and Dentistry 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Other 15 13%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 26 March 2015.
All research outputs
#1,383,107
of 22,653,392 outputs
Outputs from PLOS ONE
#18,156
of 193,422 outputs
Outputs of similar age
#4,597
of 94,667 outputs
Outputs of similar age from PLOS ONE
#78
of 719 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 90% of its peers.
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 94,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 719 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.