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Donor variability may mask dimethyl fumarate’s effects on nuclear factor E2-related factor 2 in human peripheral blood mononuclear cells

Overview of attention for article published in BMC Research Notes, November 2017
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Title
Donor variability may mask dimethyl fumarate’s effects on nuclear factor E2-related factor 2 in human peripheral blood mononuclear cells
Published in
BMC Research Notes, November 2017
DOI 10.1186/s13104-017-2862-8
Pubmed ID
Authors

Sarah E. Fiedler, Amelia R. Kerns, Catherine Tsang, Haley N. Love, Sonemany Salinthone

Abstract

Dimethyl fumarate (DMF) is an anti-inflammatory and antioxidant drug used to treat multiple sclerosis, but its mechanism(s) of action are not fully understood. In central nervous system (CNS) cells, DMF activates nuclear factor E2-related factor 2 (Nrf2), perhaps ameliorating oxidative stress-induced damage. However, it is not known whether DMF also activates Nrf2 in peripheral immune cells, which are known to participate in CNS demyelination. We conducted a single observation study to determine whether DMF can activate Nrf2 in peripheral immune cells in vitro. We performed enzyme-linked immunosorbent assays to measure Nrf2 activation in nuclear extracts of human peripheral blood mononuclear cells treated with DMF at time points from 0 to 6 h, initially determining that DMF did not activate Nrf2, and that the mechanism(s) of action of DMF may thus differ in the periphery compared to the CNS. However, further analyses of our data suggest that high Tmax variability is masking Nrf2 activation in individual donors. Additionally, there may be sub-populations of responders, perhaps related to genetic polymorphisms in Nrf2.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 23%
Student > Master 3 23%
Student > Bachelor 2 15%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 15%
Neuroscience 2 15%
Medicine and Dentistry 2 15%
Agricultural and Biological Sciences 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Other 2 15%
Unknown 3 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 04 November 2017.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from BMC Research Notes
#3,580
of 4,284 outputs
Outputs of similar age
#286,904
of 329,244 outputs
Outputs of similar age from BMC Research Notes
#121
of 149 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.