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Therapeutic drug repositioning using personalized proteomics of liquid biopsies

Overview of attention for article published in JCI Insight, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
2 X users
facebook
2 Facebook pages

Readers on

mendeley
61 Mendeley
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Article details
Title
Therapeutic drug repositioning using personalized proteomics of liquid biopsies
Published in
JCI Insight, December 2017
DOI 10.1172/jci.insight.97818
Pubmed ID
Authors
Abstract

In patients with limited response to conventional therapeutics, repositioning of already approved drugs can bring new, more effective options. Current drug repositioning methods, however, frequently rely on retrospective computational analyses and genetic testing - time consuming methods that delay application of repositioned drugs. Here, we show how proteomic analysis of liquid biopsies successfully guided treatment of neovascular inflammatory vitreoretinopathy (NIV), an inherited autoinflammatory disease with otherwise poor clinical outcomes. Vitreous biopsies from NIV patients were profiled by an antibody array for expression of 200 cytokine-signaling proteins. Non-NIV controls were compared with NIV samples from various stages of disease progression. Patterns were identified by 1-way ANOVA, hierarchical clustering, and pathway analysis. Subjects treated with repositioned therapies were followed longitudinally. Proteomic profiles revealed molecular pathways in NIV pathologies and implicated superior and inferior targets for therapy. Anti-VEGF injections resolved vitreous hemorrhages without the need for vitrectomy surgery. Methotrexate injections reversed inflammatory cell reactions without the side effects of corticosteroids. Anti-IL-6 therapy prevented recurrent fibrosis and retinal detachment where all prior antiinflammatory interventions had failed. The cytokine array also showed that TNF-α levels were normal and that corticosteroid-sensitive pathways were absent in fibrotic NIV, helping explain prior failure of these conventional therapeutic approaches. Personalized proteomics can uncover highly personalized therapies for autoinflammatory disease that can be timed with specific pathologic activities. This precision medicine strategy can also help prevent delivery of ineffective drugs. Importantly, proteomic profiling of liquid biopsies offers an endpoint analysis that can directly guide treatment using available drugs.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 11 18%
Student > Ph. D. Student 9 15%
Professor 4 7%
Researcher 4 7%
Student > Bachelor 3 5%
Other 10 16%
Unknown 20 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 14 23%
Biochemistry, Genetics and Molecular Biology 9 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Agricultural and Biological Sciences 3 5%
Unspecified 2 3%
Other 5 8%
Unknown 25 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 09 January 2018.
All research outputs
#808,016
of 28,829,220 outputs
Outputs from JCI Insight
#347
of 4,478 outputs
Outputs of similar age
#16,185
of 459,233 outputs
Outputs of similar age from JCI Insight
#5
of 70 outputs
Altmetric has tracked 28,829,220 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,478 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has done particularly well, scoring higher than 92% 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 459,233 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 96% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.