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Acute Plasma Biomarkers of T Cell Activation Set-Point Levels and of Disease Progression in HIV-1 Infection

Overview of attention for article published in PLOS ONE, October 2012
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Title
Acute Plasma Biomarkers of T Cell Activation Set-Point Levels and of Disease Progression in HIV-1 Infection
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046143
Pubmed ID
Authors

Anne-Sophie Liovat, Marie-Anne Rey-Cuillé, Camille Lécuroux, Béatrice Jacquelin, Isabelle Girault, Gaël Petitjean, Yasmine Zitoun, Alain Venet, Françoise Barré-Sinoussi, Pierre Lebon, Laurence Meyer, Martine Sinet, Michaela Müller-Trutwin

Abstract

T cell activation levels, viral load and CD4(+) T cell counts at early stages of HIV-1 infection are predictive of the rate of progression towards AIDS. We evaluated whether the inflammatory profile during primary HIV-1 infection is predictive of the virological and immunological set-points and of disease progression. We quantified 28 plasma proteins during acute and post-acute HIV-1 infection in individuals with known disease progression profiles. Forty-six untreated patients, enrolled during primary HIV-1 infection, were categorized into rapid progressors, progressors and slow progressors according to their spontaneous progression profile over 42 months of follow-up. Already during primary infection, rapid progressors showed a higher number of increased plasma proteins than progressors or slow progressors. The plasma levels of TGF-β1 and IL-18 in primary HIV-1 infection were both positively associated with T cell activation level at set-point (6 months after acute infection) and together able to predict 74% of the T cell activation variation at set-point. Plasma IP-10 was positively and negatively associated with, respectively, T cell activation and CD4(+) T cell counts at set-point and capable to predict 30% of the CD4(+) T cell count variation at set-point. Moreover, plasma IP-10 levels during primary infection were predictive of rapid progression. In primary infection, IP-10 was an even better predictor of rapid disease progression than viremia or CD4(+) T cell levels at this time point. The superior predictive capacity of IP-10 was confirmed in an independent group of 88 HIV-1 infected individuals. Altogether, this study shows that the inflammatory profile in primary HIV-1 infection is associated with T cell activation levels and CD4(+) T cell counts at set-point. Plasma IP-10 levels were of strong predictive value for rapid disease progression. The data suggest IP-10 being an earlier marker of disease progression than CD4(+) T cell counts or viremia levels.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Puerto Rico 1 1%
Argentina 1 1%
Unknown 91 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 23%
Student > Ph. D. Student 16 17%
Student > Master 13 14%
Student > Postgraduate 8 9%
Student > Doctoral Student 7 7%
Other 19 20%
Unknown 9 10%
Readers by discipline Count As %
Immunology and Microbiology 27 29%
Medicine and Dentistry 21 22%
Agricultural and Biological Sciences 21 22%
Biochemistry, Genetics and Molecular Biology 6 6%
Nursing and Health Professions 2 2%
Other 7 7%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 October 2012.
All research outputs
#18,952,091
of 24,155,398 outputs
Outputs from PLOS ONE
#160,436
of 207,671 outputs
Outputs of similar age
#128,888
of 175,090 outputs
Outputs of similar age from PLOS ONE
#3,273
of 4,544 outputs
Altmetric has tracked 24,155,398 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 207,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 175,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,544 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.