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HIV-Infected Patients as a Model of Aging

Overview of attention for article published in Microbiology Spectrum, April 2023
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Title
HIV-Infected Patients as a Model of Aging
Published in
Microbiology Spectrum, April 2023
DOI 10.1128/spectrum.00532-23
Pubmed ID
Authors

Boško Toljić, Jelena Milašin, Silvio R. De Luka, Gordana Dragović, Djordje Jevtović, Aleksandar Maslać, Jasna L. Ristić-Djurović, Alexander M. Trbovich

Abstract

We appraised the relationship between the biological and the chronological age and estimated the rate of biological aging in HIV-infected patients. Two independent biomarkers, the relative telomere length and iron metabolism parameters, were analyzed in younger (<35) and older (>50) HIV-infected and uninfected patients (control group). In our control group, telomeres of younger patients were significantly longer than telomeres of older ones. However, in HIV-infected participants, the difference in the length of telomeres was lost. By combining the length of telomeres with serum iron, ferritin, and transferrin iron-binding capacity, a new formula for determination of the aging process was developed. The life expectancy of the healthy population was related to their biological age, and HIV-infected patients were biologically older. The effect of antiretroviral HIV drug therapies varied with respect to the biological aging process. IMPORTANCE This article is focused on the dynamics of human aging. Moreover, its interdisciplinary approach is applicable to various systems that are aging.

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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 readers

Mendeley readers

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.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Bachelor 1 20%
Professor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Medicine and Dentistry 3 60%
Biochemistry, Genetics and Molecular Biology 1 20%
Unknown 1 20%
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 24 April 2023.
All research outputs
#16,382,771
of 24,132,754 outputs
Outputs from Microbiology Spectrum
#2,280
of 3,672 outputs
Outputs of similar age
#226,598
of 390,340 outputs
Outputs of similar age from Microbiology Spectrum
#312
of 524 outputs
Altmetric has tracked 24,132,754 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 3,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 26th percentile – i.e., 26% 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 390,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 524 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.