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Class-modeling analysis reveals T-cell homeostasis disturbances involved in loss of immune control in elite controllers

Overview of attention for article published in BMC Medicine, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

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Title
Class-modeling analysis reveals T-cell homeostasis disturbances involved in loss of immune control in elite controllers
Published in
BMC Medicine, February 2018
DOI 10.1186/s12916-018-1026-6
Pubmed ID
Authors

José M. Benito, María C. Ortiz, Agathe León, Luis A. Sarabia, José M. Ligos, María Montoya, Marcial Garcia, Ezequiel Ruiz-Mateos, Rosario Palacios, Alfonso Cabello, Clara Restrepo, Carmen Rodriguez, Jorge del Romero, Manuel Leal, María A. Muñoz-Fernández, José Alcamí, Felipe García, Miguel Górgolas, Norma Rallón

Abstract

Despite long-lasting HIV replication control, a significant proportion of elite controller (EC) patients may experience CD4 T-cell loss. Discovering perturbations in immunological parameters could help our understanding of the mechanisms that may be operating in those patients experiencing loss of immunological control. A case-control study was performed to evaluate if alterations in different T-cell homeostatic parameters can predict CD4 T-cell loss in ECs by comparing data from EC patients showing significant CD4 decline (cases) and EC patients showing stable CD4 counts (controls). The partial least-squares-class modeling (PLS-CM) statistical methodology was employed to discriminate between the two groups of patients, and as a predictive model. Herein, we show that among T-cell homeostatic alterations, lower levels of naïve and recent thymic emigrant subsets of CD8 cells and higher levels of effector and senescent subsets of CD8 cells as well as higher levels of exhaustion of CD4 cells, measured prior to CD4 T-cell loss, predict the loss of immunological control. These data indicate that the parameters of T-cell homeostasis may identify those EC patients with a higher proclivity to CD4 T-cell loss. Our results may open new avenues for understanding the mechanisms underlying immunological progression despite HIV replication control, and eventually, for finding a functional cure through immune-based clinical trials.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 10 8%
Student > Ph. D. Student 8 7%
Researcher 7 6%
Professor 4 3%
Student > Bachelor 2 2%
Other 7 6%
Unknown 85 69%
Readers by discipline Count As %
Medicine and Dentistry 10 8%
Agricultural and Biological Sciences 9 7%
Nursing and Health Professions 5 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Psychology 2 2%
Other 5 4%
Unknown 89 72%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 26 June 2018.
All research outputs
#1,453,806
of 17,826,855 outputs
Outputs from BMC Medicine
#1,062
of 2,743 outputs
Outputs of similar age
#38,229
of 285,175 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 17,826,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. This one has gotten more attention than average, scoring higher than 61% 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 285,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% 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