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Integrated systems immunology approach identifies impaired effector T cell memory responses as a feature of progression to severe dengue fever

Overview of attention for article published in Journal of Biomedical Science, April 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 1,112)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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20 news outlets
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12 X users

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22 Mendeley
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Title
Integrated systems immunology approach identifies impaired effector T cell memory responses as a feature of progression to severe dengue fever
Published in
Journal of Biomedical Science, April 2023
DOI 10.1186/s12929-023-00916-4
Pubmed ID
Authors

Lisa J. Ioannidis, Stephanie I. Studniberg, Emily M. Eriksson, Suhendro Suwarto, Dionisius Denis, Yang Liao, Wei Shi, Alexandra L. Garnham, R. Tedjo Sasmono, Diana S. Hansen

Abstract

Typical symptoms of uncomplicated dengue fever (DF) include headache, muscle pains, rash, cough, and vomiting. A proportion of cases progress to severe dengue hemorrhagic fever (DHF), associated with increased vascular permeability, thrombocytopenia, and hemorrhages. Progression to severe dengue is difficult to diagnose at the onset of fever, which complicates patient triage, posing a socio-economic burden on health systems. To identify parameters associated with protection and susceptibility to DHF, we pursued a systems immunology approach integrating plasma chemokine profiling, high-dimensional mass cytometry and peripheral blood mononuclear cell (PBMC) transcriptomic analysis at the onset of fever in a prospective study conducted in Indonesia. After a secondary infection, progression to uncomplicated dengue featured transcriptional profiles associated with increased cell proliferation and metabolism, and an expansion of ICOS+CD4+ and CD8+ effector memory T cells. These responses were virtually absent in cases progressing to severe DHF, that instead mounted an innate-like response, characterised by inflammatory transcriptional profiles, high circulating levels of inflammatory chemokines and with high frequencies of CD4low non-classical monocytes predicting increased odds of severe disease. Our results suggests that effector memory T cell activation might play an important role ameliorating severe disease symptoms during a secondary dengue infection, and in the absence of that response, a strong innate inflammatory response is required to control viral replication. Our research also identified discrete cell populations predicting increased odds of severe disease, with potential diagnostic value.

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X Demographics

The data shown below were collected from the profiles of 12 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Master 2 9%
Student > Bachelor 2 9%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 12 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 3 14%
Nursing and Health Professions 2 9%
Immunology and Microbiology 1 5%
Unknown 13 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 153. 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 June 2023.
All research outputs
#273,614
of 25,738,558 outputs
Outputs from Journal of Biomedical Science
#16
of 1,112 outputs
Outputs of similar age
#6,504
of 422,809 outputs
Outputs of similar age from Journal of Biomedical Science
#1
of 17 outputs
Altmetric has tracked 25,738,558 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 1,112 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. 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 422,809 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 98% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.