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Infection Elicited Autoimmunity and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: An Explanatory Model

Overview of attention for article published in Frontiers in immunology, February 2018
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
twitter
252 X users
facebook
14 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
165 Mendeley
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Title
Infection Elicited Autoimmunity and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: An Explanatory Model
Published in
Frontiers in immunology, February 2018
DOI 10.3389/fimmu.2018.00229
Pubmed ID
Authors

Jonas Blomberg, Carl-Gerhard Gottfries, Amal Elfaitouri, Muhammad Rizwan, Anders Rosén

Abstract

Myalgic encephalomyelitis (ME) often also called chronic fatigue syndrome (ME/CFS) is a common, debilitating, disease of unknown origin. Although a subject of controversy and a considerable scientific literature, we think that a solid understanding of ME/CFS pathogenesis is emerging. In this study, we compiled recent findings and placed them in the context of the clinical picture and natural history of the disease. A pattern emerged, giving rise to an explanatory model. ME/CFS often starts after or during an infection. A logical explanation is that the infection initiates an autoreactive process, which affects several functions, including brain and energy metabolism. According to our model for ME/CFS pathogenesis, patients with a genetic predisposition and dysbiosis experience a gradual development of B cell clones prone to autoreactivity. Under normal circumstances these B cell offsprings would have led to tolerance. Subsequent exogenous microbial exposition (triggering) can lead to comorbidities such as fibromyalgia, thyroid disorder, and orthostatic hypotension. A decisive infectious trigger may then lead to immunization against autoantigens involved in aerobic energy production and/or hormone receptors and ion channel proteins, producing postexertional malaise and ME/CFS, affecting both muscle and brain. In principle, cloning and sequencing of immunoglobulin variable domains could reveal the evolution of pathogenic clones. Although evidence consistent with the model accumulated in recent years, there are several missing links in it. Hopefully, the hypothesis generates testable propositions that can augment the understanding of the pathogenesis of ME/CFS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 252 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 15%
Student > Bachelor 20 12%
Student > Ph. D. Student 14 8%
Student > Master 13 8%
Other 12 7%
Other 33 20%
Unknown 49 30%
Readers by discipline Count As %
Medicine and Dentistry 39 24%
Biochemistry, Genetics and Molecular Biology 18 11%
Nursing and Health Professions 13 8%
Immunology and Microbiology 10 6%
Agricultural and Biological Sciences 9 5%
Other 25 15%
Unknown 51 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 268. 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 27 January 2024.
All research outputs
#138,955
of 25,939,391 outputs
Outputs from Frontiers in immunology
#162
of 32,610 outputs
Outputs of similar age
#3,583
of 474,517 outputs
Outputs of similar age from Frontiers in immunology
#1
of 664 outputs
Altmetric has tracked 25,939,391 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,610 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 99% 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 474,517 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 99% of its contemporaries.
We're also able to compare this research output to 664 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 99% of its contemporaries.