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Illness progression in chronic fatigue syndrome: a shifting immune baseline

Overview of attention for article published in BMC Immunology, March 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 537)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
28 tweeters
facebook
17 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
27 Dimensions

Readers on

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82 Mendeley
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Title
Illness progression in chronic fatigue syndrome: a shifting immune baseline
Published in
BMC Immunology, March 2016
DOI 10.1186/s12865-016-0142-3
Pubmed ID
Authors

Lindsey Russell, Gordon Broderick, Renee Taylor, Henrique Fernandes, Jeanna Harvey, Zachary Barnes, AnneLiese Smylie, Fanny Collado, Elizabeth G. Balbin, Ben Z. Katz, Nancy G. Klimas, Mary Ann Fletcher

Abstract

Validation of biomarkers for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) across data sets has proven disappointing. As immune signature may be affected by many factors, our objective was to explore the shift in discriminatory cytokines across ME/CFS subjects separated by duration of illness. Cytokine expression collected at rest across multiple studies for female ME/CFS subjects (i) 18 years or younger, ill for 2 years or less (n = 18), (ii) 18-50 years of age, ill for 7 years (n = 22), and (iii) age 50 years or older (n = 28), ill for 11 years on average. Control subjects were matched for age and body mass index (BMI). Data describing the levels of 16 cytokines using a chemiluminescent assay was used to support the identification of separate linear classification models for each subgroup. In order to isolate the effects of duration of illness alone, cytokines that changed significantly with age in the healthy control subjects were excluded a priori. Optimal selection of cytokines in each group resulted in subsets of IL-1α, 6, 8, 15 and TNFα. Common to any 2 of 3 groups were IL-1α, 6 and 8. Setting these 3 markers as a triple screen and adjusting their contribution according to illness duration sub-groups produced ME/CFS classification accuracies of 75-88 %. The contribution of IL-1α, higher in recently ill adolescent ME/CFS subjects was progressively less important with duration. While high levels of IL-8 screened positive for ME/CFS in the recently afflicted, the opposite was true for subjects ill for more than 2 years. Similarly, while low levels of IL-6 suggested early ME/CFS, the reverse was true in subjects over 18 years of age ill for more than 2 years. These preliminary results suggest that IL-1α, 6 and 8 adjusted for illness duration may serve as robust biomarkers, independent of age, in screening for ME/CFS.

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 17%
Other 10 12%
Student > Master 9 11%
Student > Bachelor 8 10%
Student > Postgraduate 8 10%
Other 19 23%
Unknown 14 17%
Readers by discipline Count As %
Medicine and Dentistry 19 23%
Nursing and Health Professions 11 13%
Biochemistry, Genetics and Molecular Biology 7 9%
Agricultural and Biological Sciences 5 6%
Psychology 5 6%
Other 18 22%
Unknown 17 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 23 September 2017.
All research outputs
#718,876
of 19,545,556 outputs
Outputs from BMC Immunology
#8
of 537 outputs
Outputs of similar age
#15,055
of 275,346 outputs
Outputs of similar age from BMC Immunology
#1
of 1 outputs
Altmetric has tracked 19,545,556 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 275,346 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 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them