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Longitudinal analysis of the lung microbiota of cynomolgous macaques during long-term SHIV infection

Overview of attention for article published in Microbiome, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

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Title
Longitudinal analysis of the lung microbiota of cynomolgous macaques during long-term SHIV infection
Published in
Microbiome, July 2016
DOI 10.1186/s40168-016-0183-0
Pubmed ID
Authors

Alison Morris, Joseph N. Paulson, Hisham Talukder, Laura Tipton, Heather Kling, Lijia Cui, Adam Fitch, Mihai Pop, Karen A. Norris, Elodie Ghedin

Abstract

Longitudinal studies of the lung microbiome are challenging due to the invasive nature of sample collection. In addition, studies of the lung microbiome in human disease are usually performed after disease onset, limiting the ability to determine early events in the lung. We used a non-human primate model to assess lung microbiome alterations over time in response to an HIV-like immunosuppression and determined impact of the lung microbiome on development of obstructive lung disease. Cynomolgous macaques were infected with the SIV-HIV chimeric virus SHIV89.6P. Bronchoalveolar lavage fluid samples were collected pre-infection and every 4 weeks for 53 weeks post-infection. The microbiota was characterized at each time point by 16S ribosomal RNA (rRNA) sequencing. We observed individual variation in the composition of the lung microbiota with a proportion of the macaques having Tropheryma whipplei as the dominant organism in their lungs. Bacterial communities varied over time both within and between animals, but there did not appear to be a systematic alteration due to SHIV infection. Development of obstructive lung disease in the SHIV-infected animals was characterized by a relative increase in abundance of oral anaerobes. Network analysis further identified a difference in community composition that accompanied the development of obstructive disease with negative correlations between members of the obstructed and non-obstructed groups. This emphasizes how species shifts can impact multiple other species, potentially resulting in disease. This study is the first to investigate the dynamics of the lung microbiota over time and in response to immunosuppression in a non-human primate model. The persistence of oral bacteria in the lung and their association with obstruction suggest a potential role in pathogenesis. The lung microbiome in the non-human primate is a valuable tool for examining the impact of the lung microbiome in human health and disease.

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X Demographics

The data shown below were collected from the profiles of 12 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 91 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 27%
Student > Ph. D. Student 14 15%
Student > Master 10 11%
Student > Bachelor 9 10%
Student > Doctoral Student 4 4%
Other 10 11%
Unknown 21 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 18%
Medicine and Dentistry 13 14%
Immunology and Microbiology 12 13%
Biochemistry, Genetics and Molecular Biology 9 10%
Veterinary Science and Veterinary Medicine 3 3%
Other 14 15%
Unknown 25 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 July 2016.
All research outputs
#2,487,578
of 25,401,381 outputs
Outputs from Microbiome
#981
of 1,760 outputs
Outputs of similar age
#43,612
of 370,646 outputs
Outputs of similar age from Microbiome
#22
of 26 outputs
Altmetric has tracked 25,401,381 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.3. This one is in the 44th percentile – i.e., 44% 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 370,646 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.