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Mentioned by

twitter
1 X user

Readers on

mendeley
5 Mendeley
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Article details
Title
Association of TREX1 polymorphism with disease progression in human immunodeficiency virus type-1 (HIV-1) infected patients
Published in
Virus Genes, September 2023
DOI 10.1007/s11262-023-02032-9
Pubmed ID
Authors
Abstract

The time interval between HIV-1 infection and AIDS development is not the same in all patients and depends largely on the genetic background of the individual. Polymorphisms in the TREX1 gene, the main enzyme in the clearance of cytosolic DNA, affect type 1 interferon-mediated inflammatory response in HIV-1 infection. We aimed to study the role of a single nucleotide polymorphism (rs3135941) of the TREX1 gene and the rate of disease progression in patients infected with HIV-1. A total of 190 HIV-1 infected patients were recruited. Patients' demographic and laboratory data including CD4 counts, viral load, and antiretroviral therapy (ART) were collected. The genotype of rs3135941 was determined by a PCR-SSP method. The rate of progression to AIDS was calculated with Kaplan-Meier survival analysis using Stata software. The patients were divided into rapid and slow progressors based on time interval of CD4 drop below 350/µl. Kaplan-Meier analysis revealed an accelerated disease progression in patients with TC and CC genotypes (HR = 1.49, 95% CI = 1.01-2.17). The mean values of the first 5-year CD4 counts were significantly different in patients who had CC and TC genotypes compared to the TT group (p = 0.036). The result of this study emphasizes the importance of TREX1 polymorphism in HIV-1 progression. These data warrant further investigation into the role of other polymorphisms of TREX1.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 1 20%
Unknown 4 80%
Readers by discipline
Readers by discipline Count As %
Unknown 5 100%
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 20 September 2023.
All research outputs
#17,030,631
of 25,026,088 outputs
Outputs from Virus Genes
#625
of 1,060 outputs
Outputs of similar age
#185,199
of 339,442 outputs
Outputs of similar age from Virus Genes
#4
of 12 outputs
Altmetric has tracked 25,026,088 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 29th percentile – i.e., 29% 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 339,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.