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Evaluation of HIV-DNA and inflammatory markers in HIV-infected individuals with different viral load patterns

Overview of attention for article published in BMC Infectious Diseases, August 2017
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Title
Evaluation of HIV-DNA and inflammatory markers in HIV-infected individuals with different viral load patterns
Published in
BMC Infectious Diseases, August 2017
DOI 10.1186/s12879-017-2676-2
Pubmed ID
Authors

Francesca Falasca, Daniele Di Carlo, Corrado De Vito, Isabella Bon, Gabriella d’Ettorre, Alessandra Fantauzzi, Ivano Mezzaroma, Caterina Fimiani, Maria Carla Re, Vincenzo Vullo, Guido Antonelli, Ombretta Turriziani

Abstract

Persistent residual viremia (RV) and low grade inflammation and immune activation have been associated with non-AIDS defining events. The impact of persistent RV and HIV-DNA load on immune activation/inflammation remains unclear. The purpose of this study was to gain new insights into the relation between viremia, markers of inflammation and HIV-DNA levels. Three hundred and twenty-one HIV-infected patients were studied. A retrospective analysis of viremia values, prospectively collected for 48 months, was performed. Patients were separated into three groups: 113 TND (Target Not Detected, patients with sustained undetectable viremia); 113 RV (Residual Viremia, patients who had at least three detectable viral load (VL) values <37 copies/ml); 95 LLV (Low Level Viremia, patients with at least two VL values >37 but <200 copies/ml). HIV-DNA, TNF-α, IL-6 and sCD14 were analyzed. HIV-DNA, sCD14 and TNF-α were significantly lower in the TND group than in the RV and LLV groups. In addition, RV patients showed lower levels of HIV-DNA and sCD14 than LLV individuals. HIV-DNA load was not related to markers of inflammation. The ordinal logistic analysis showed that two independent variables were significantly associated with VL pattern: sCD14, HIV-DNA. In addition NRTIs plus NNRTIs and NRTIs plus PIs were negatively associated to VL pattern compared to INI-containing regimen. Persistent undetectable viremia was associated with lower levels of inflammatory markers and HIV-DNA. However, the lack of normalization of these biomarkers in the TND group and the fact that HIV-DNA load was not associated with inflammation strongly suggest that other mechanisms play a major role in maintaining inflammation over time.

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The data shown below were collected from the profiles of 2 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 10 16%
Student > Master 9 14%
Student > Doctoral Student 6 9%
Student > Bachelor 5 8%
Other 8 13%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 21 33%
Biochemistry, Genetics and Molecular Biology 7 11%
Immunology and Microbiology 7 11%
Agricultural and Biological Sciences 5 8%
Nursing and Health Professions 4 6%
Other 2 3%
Unknown 18 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 August 2017.
All research outputs
#15,425,062
of 22,999,744 outputs
Outputs from BMC Infectious Diseases
#4,506
of 7,719 outputs
Outputs of similar age
#198,281
of 317,366 outputs
Outputs of similar age from BMC Infectious Diseases
#96
of 158 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 41st percentile – i.e., 41% 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 317,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.