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Alteration of the cutaneous microbiome in psoriasis and potential role in Th17 polarization

Overview of attention for article published in Microbiome, September 2018
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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)

Mentioned by

1 blog
17 tweeters


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185 Mendeley
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Alteration of the cutaneous microbiome in psoriasis and potential role in Th17 polarization
Published in
Microbiome, September 2018
DOI 10.1186/s40168-018-0533-1
Pubmed ID

Hsin-Wen Chang, Di Yan, Rasnik Singh, Jared Liu, Xueyan Lu, Derya Ucmak, Kristina Lee, Ladan Afifi, Douglas Fadrosh, John Leech, Kimberly S. Vasquez, Margaret M. Lowe, Michael D. Rosenblum, Tiffany C. Scharschmidt, Susan V. Lynch, Wilson Liao


Psoriasis impacts 1-3% of the world's population and is characterized by hyper-proliferation of keratinocytes and increased inflammation. At the molecular level, psoriasis is commonly driven by a Th17 response, which serves as a major therapeutic target. Microbiome perturbations have been associated with several immune-mediated diseases such as atopic dermatitis, asthma, and multiple sclerosis. Although a few studies have investigated the association between the skin microbiome and psoriasis, conflicting results have been reported plausibly due to the lack of standardized sampling and profiling protocols, or to inherent microbial variability across human subjects and underpowered studies. To better understand the link between the cutaneous microbiota and psoriasis, we conducted an analysis of skin bacterial communities of 28 psoriasis patients and 26 healthy subjects, sampled at six body sites using a standardized protocol and higher sequencing depth compared to previous studies. Mouse studies were employed to examine dermal microbial-immune interactions of bacterial species identified from our study. Skin microbiome profiling based on sequencing the 16S rRNA V1-V3 variable region revealed significant differences between the psoriasis-associated and healthy skin microbiota. Comparing the overall community structures, psoriasis-associated microbiota displayed higher diversity and more heterogeneity compared to healthy skin bacterial communities. Specific microbial signatures were associated with psoriatic lesional, psoriatic non-lesional, and healthy skin. Specifically, relative enrichment of Staphylococcus aureus was strongly associated with both lesional and non-lesional psoriatic skin. In contrast, Staphylococcus epidermidis and Propionibacterium acnes were underrepresented in psoriatic lesions compared to healthy skin, especially on the arm, gluteal fold, and trunk. Employing a mouse model to further study the impact of cutaneous Staphylcoccus species on the skin T cell differentiation, we found that newborn mice colonized with Staphylococcus aureus demonstrated strong Th17 polarization, whereas mice colonized with Staphylococcus epidermidis or un-colonized controls showed no such response. Our results suggest that microbial communities on psoriatic skin is substantially different from those on healthy skin. The psoriatic skin microbiome has increased diversity and reduced stability compared to the healthy skin microbiome. The loss of community stability and decrease in immunoregulatory bacteria such as Staphylococcus epidermidis and Propionibacterium acnes may lead to higher colonization with pathogens such as Staphylococcus aureus, which could exacerbate cutaneous inflammation along the Th17 axis.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 19%
Researcher 32 17%
Student > Master 24 13%
Student > Bachelor 21 11%
Student > Doctoral Student 13 7%
Other 33 18%
Unknown 27 15%
Readers by discipline Count As %
Medicine and Dentistry 42 23%
Immunology and Microbiology 29 16%
Biochemistry, Genetics and Molecular Biology 25 14%
Agricultural and Biological Sciences 16 9%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Other 29 16%
Unknown 35 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 February 2020.
All research outputs
of 17,053,340 outputs
Outputs from Microbiome
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Outputs of similar age
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Outputs of similar age from Microbiome
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Altmetric has tracked 17,053,340 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. This one has gotten more attention than average, scoring higher than 53% 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 281,490 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them