↓ Skip to main content

Metabolic dysfunctions in multiple sclerosis: implications as to causation, early detection, and treatment, a case control study

Overview of attention for article published in BMC Neurology, August 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
72 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
Metabolic dysfunctions in multiple sclerosis: implications as to causation, early detection, and treatment, a case control study
Published in
BMC Neurology, August 2015
DOI 10.1186/s12883-015-0411-4
Pubmed ID
Authors

Vijitha K. Senanayake, Wei Jin, Asuka Mochizuki, Bassirou Chitou, Dayan B. Goodenowe

Abstract

Biochemical changes associated with multiple sclerosis (MS), and its various clinical forms have not been characterized well. Therefore, we investigated the biochemistry of MS in relation to its natural history using targeted lipidomics platforms. Cross-sectional serum samples from 24 secondary progressive (SPMS), 100 relapsing remitting (RRMS), 19 primary progressive MS (PPMS), and 55 age-matched control subjects were analyzed by flow injection tandem mass spectrometry for very long chain fatty acid (VLCFA) containing phosphatidyl ethanolamines (PtdEtn), plasmalogen ethanolamines (PlsEtn) and for novel anti-inflammatory gastrointestinal tract acids (GTAs). Changes in analyte levels relative to healthy controls were correlated with the disease stage and disease duration. RRMS subjects having <13 years disease duration had elevated levels (p < 0.05) of anti-inflammatory metabolites (GTAs) and normal levels (p > 0.05) of mitochondrial stress biomarkers (VLCFA-PtdEtn), compared to controls. SPMS subjects had statistically similar levels of anti-inflammatory metabolites (GTAs), elevated mitochondrial stress metabolites (VLCFA-PtdEtn) and elevated peroxisomal metabolites (PlsEtn) compared to controls (p < 0.05). RRMS subjects with > = 13 years disease duration exhibited metabolic profiles intermediate between short-duration RRMS and SPMS, based on statistical significance. Therefore, RRMS cohort appear to comprise of two metabolically distinct subpopulations. The key clinical discriminator of these two groups was disease duration. PPMS patients exhibited metabolic profiles distinct from RRMS and SPMS. These data indicate that inflammation and mitochondrial stress are intricately involved in the etiology of MS and that progression in MS can potentially be monitored using serum metabolic biomarkers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Master 8 11%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 7 10%
Student > Bachelor 6 8%
Other 16 22%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 13 18%
Neuroscience 12 17%
Agricultural and Biological Sciences 10 14%
Biochemistry, Genetics and Molecular Biology 6 8%
Psychology 2 3%
Other 10 14%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2015.
All research outputs
#14,394,763
of 25,388,353 outputs
Outputs from BMC Neurology
#1,099
of 2,692 outputs
Outputs of similar age
#124,462
of 276,566 outputs
Outputs of similar age from BMC Neurology
#22
of 62 outputs
Altmetric has tracked 25,388,353 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 58% 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 276,566 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.