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Morphine Potentiates Dysbiotic Microbial and Metabolic Shifts in Acute SIV Infection

Overview of attention for article published in Journal of Neuroimmune Pharmacology, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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8 X users

Citations

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30 Dimensions

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38 Mendeley
Title
Morphine Potentiates Dysbiotic Microbial and Metabolic Shifts in Acute SIV Infection
Published in
Journal of Neuroimmune Pharmacology, September 2018
DOI 10.1007/s11481-018-9805-6
Pubmed ID
Authors

Gregory M. Sindberg, Shannon E. Callen, Santanu Banerjee, Jingjing Meng, Vanessa L. Hale, Ramakrishna Hegde, Paul D. Cheney, Francois Villinger, Sabita Roy, Shilpa Buch

Abstract

Human Immunodeficiency Virus (HIV) pathogenesis has been closely linked with microbial translocation, which is believed to drive inflammation and HIV replication. Opioid drugs have been shown to worsen this symptom, leading to a faster progression of HIV infection to Acquired Immunodeficiency Syndrome (AIDS). The interaction of HIV and opioid drugs has not been studied at early stages of HIV, particularly in the gut microbiome where changes may precede translocation events. This study modeled early HIV infection by examining Simian Immunodeficiency Virus (SIV)-infected primates at 21 days or less both independently and in the context of opioid use. Fecal samples were analyzed both for 16S analysis of microbial populations as well as metabolite profiles via mass spectrometry. Our results indicate that changes are minor in SIV treated animals in the time points examined, however animals treated with morphine and SIV had significant changes in their microbial communities and metabolic profiles. This occurred in a time-independent fashion with morphine regardless of how long the animal had morphine in its system. Globally, the observed changes support that microbial dysbiosis is occurring in these animals at an early time, which likely contributes to the translocation events observed later in SIV/HIV pathogenesis. Additionally, metabolic changes were predictive of specific treatment groups, which could be further developed as a diagnostic tool or future intervention target to overcome and slow the progression of HIV infection to AIDS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 6 16%
Student > Master 2 5%
Other 2 5%
Student > Doctoral Student 2 5%
Other 7 18%
Unknown 11 29%
Readers by discipline Count As %
Neuroscience 6 16%
Agricultural and Biological Sciences 5 13%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 7 18%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 September 2020.
All research outputs
#7,089,204
of 24,649,404 outputs
Outputs from Journal of Neuroimmune Pharmacology
#200
of 593 outputs
Outputs of similar age
#119,539
of 346,503 outputs
Outputs of similar age from Journal of Neuroimmune Pharmacology
#3
of 10 outputs
Altmetric has tracked 24,649,404 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 64% 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 346,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.