↓ Skip to main content

Potential biomarkers to follow the progression and treatment response of Huntington’s disease

Overview of attention for article published in The Journal of Experimental Medicine, November 2016
Altmetric Badge

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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
11 news outlets
blogs
2 blogs
twitter
13 X users
facebook
6 Facebook pages

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
92 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
Potential biomarkers to follow the progression and treatment response of Huntington’s disease
Published in
The Journal of Experimental Medicine, November 2016
DOI 10.1084/jem.20160776
Pubmed ID
Authors

Marie-Hélène Disatnik, Amit U. Joshi, Nay L. Saw, Mehrdad Shamloo, Blair R. Leavitt, Xin Qi, Daria Mochly-Rosen

Abstract

Huntington's disease (HD) is a rare genetic disease caused by expanded polyglutamine repeats in the huntingtin protein resulting in selective neuronal loss. Although genetic testing readily identifies those who will be affected, current pharmacological treatments do not prevent or slow down disease progression. A major challenge is the slow clinical progression and the inability to biopsy the affected tissue, the brain, making it difficult to design short and effective proof of concept clinical trials to assess treatment benefit. In this study, we focus on identifying peripheral biomarkers that correlate with the progression of the disease and treatment benefit. We recently developed an inhibitor of pathological mitochondrial fragmentation, P110, to inhibit neurotoxicity in HD. Changes in levels of mitochondrial DNA (mtDNA) and inflammation markers in plasma, a product of DNA oxidation in urine, mutant huntingtin aggregates, and 4-hydroxynonenal adducts in muscle and skin tissues were all noted in HD R6/2 mice relative to wild-type mice. Importantly, P110 treatment effectively reduced the levels of these biomarkers. Finally, abnormal levels of mtDNA were also found in plasma of HD patients relative to control subjects. Therefore, we identified several potential peripheral biomarkers as candidates to assess HD progression and the benefit of intervention for future clinical trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 18%
Researcher 16 17%
Other 10 11%
Student > Ph. D. Student 9 10%
Student > Master 6 7%
Other 15 16%
Unknown 19 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 17%
Medicine and Dentistry 12 13%
Neuroscience 12 13%
Agricultural and Biological Sciences 11 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 11 12%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 18 May 2017.
All research outputs
#439,824
of 25,374,647 outputs
Outputs from The Journal of Experimental Medicine
#241
of 11,597 outputs
Outputs of similar age
#8,526
of 318,610 outputs
Outputs of similar age from The Journal of Experimental Medicine
#8
of 65 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 97% 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 318,610 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 97% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.