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Low nadir CD4+ T-cell counts predict gut dysbiosis in HIV-1 infection

Overview of attention for article published in Mucosal Immunology (1933-0219), August 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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142 Mendeley
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Article details
Title
Low nadir CD4+ T-cell counts predict gut dysbiosis in HIV-1 infection
Published in
Mucosal Immunology (1933-0219), August 2018
DOI 10.1038/s41385-018-0083-7
Pubmed ID
Authors
Abstract

Human immunodeficiency virus (HIV)-1 infection causes severe gut and systemic immune damage, but its effects on the gut microbiome remain unclear. Previous shotgun metagenomic studies in HIV-negative subjects linked low-microbial gene counts (LGC) to gut dysbiosis in diseases featuring intestinal inflammation. Using a similar approach in 156 subjects with different HIV-1 phenotypes, we found a strong, independent, dose-effect association between nadir CD4+ T-cell counts and LGC. As in other diseases involving intestinal inflammation, the gut microbiomes of subjects with LGC were enriched in gram-negative Bacteroides, acetogenic bacteria and Proteobacteria, which are able to metabolize reactive oxygen and nitrogen species; and were depleted in oxygen-sensitive methanogenic archaea and sulfate-reducing bacteria. Interestingly, subjects with LGC also showed increased butyrate levels in direct fecal measurements, consistent with enrichment in Roseburia intestinalis despite reductions in other butyrate producers. The microbiomes of subjects with LGC were also enriched in bacterial virulence factors, as well as in genes associated with beta-lactam, lincosamide, tetracycline, and macrolide resistance. Thus, low nadir CD4+ T-cell counts, rather than HIV-1 serostatus per se, predict the presence of gut dysbiosis in HIV-1 infected subjects. Such dysbiosis does not display obvious HIV-specific features; instead, it shares many similarities with other diseases featuring gut inflammation.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users 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 142 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 142 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 23 16%
Student > Ph. D. Student 20 14%
Student > Master 14 10%
Student > Bachelor 11 8%
Other 9 6%
Other 21 15%
Unknown 44 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 23 16%
Immunology and Microbiology 22 15%
Biochemistry, Genetics and Molecular Biology 15 11%
Agricultural and Biological Sciences 12 8%
Nursing and Health Professions 5 4%
Other 10 7%
Unknown 55 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 30 October 2025.
All research outputs
#1,288,821
of 34,411,289 outputs
Outputs from Mucosal Immunology (1933-0219)
#90
of 1,629 outputs
Outputs of similar age
#20,588
of 376,413 outputs
Outputs of similar age from Mucosal Immunology (1933-0219)
#2
of 33 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 94% 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 376,413 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.