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Active transforming growth factor-β is associated with phenotypic changes in granulomas after drug treatment in pulmonary tuberculosis

Overview of attention for article published in Fibrogenesis & Tissue Repair, April 2016
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Title
Active transforming growth factor-β is associated with phenotypic changes in granulomas after drug treatment in pulmonary tuberculosis
Published in
Fibrogenesis & Tissue Repair, April 2016
DOI 10.1186/s13069-016-0043-3
Pubmed ID
Authors

Robert M. DiFazio, Joshua T. Mattila, Edwin C. Klein, Lauren R. Cirrincione, Mondraya Howard, Eileen A. Wong, JoAnne L. Flynn

Abstract

Tuberculosis (TB) chemotherapy clears bacterial burden in the lungs of patients and allows the tuberculous lesions to heal through a fibrotic process. The healing process leaves pulmonary scar tissue that can impair lung function. The goal of this study was to identify fibrotic mediators as a stepping-stone to begin exploring mechanisms of tissue repair in TB. Hematoxylin and eosin staining and Masson's trichrome stain were utilized to determine levels of collagenization in tuberculous granulomas from non-human primates. Immunohistochemistry was then employed to further interrogate these granulomas for markers associated with fibrogenesis, including transforming growth factor-β (TGFβ), α-smooth muscle actin (αSMA), phosphorylated SMAD-2/3, and CD163. These markers were compared across states of drug treatment using one-way ANOVA, and Pearson's test was used to determine the association of these markers with one another. TGFβ and αSMA were present in granulomas from primates with active TB disease. These molecules were reduced in abundance after TB chemotherapy. Phosphorylated SMAD-2/3, a signaling intermediate of TGFβ, was observed in greater amounts after 1 month of drug treatment than in active disease, suggesting that this particular pathway is blocked in active disease. Collagen production during tissue repair is strongly associated with TGFβ in this model, but not with CD163+ macrophages. Tissue repair and fibrosis in TB that occurs during drug treatment is associated with active TGFβ that is produced during active disease. Further work will identify mechanisms of fibrosis and work towards mitigating lung impairment with treatments that target those mechanisms.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Student > Master 3 13%
Student > Postgraduate 2 9%
Researcher 2 9%
Professor 1 4%
Other 3 13%
Unknown 5 22%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Immunology and Microbiology 4 17%
Agricultural and Biological Sciences 4 17%
Biochemistry, Genetics and Molecular Biology 2 9%
Linguistics 1 4%
Other 3 13%
Unknown 4 17%

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 09 May 2016.
All research outputs
#5,803,636
of 7,672,691 outputs
Outputs from Fibrogenesis & Tissue Repair
#34
of 52 outputs
Outputs of similar age
#187,296
of 267,458 outputs
Outputs of similar age from Fibrogenesis & Tissue Repair
#1
of 2 outputs
Altmetric has tracked 7,672,691 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 52 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 17th percentile – i.e., 17% 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 267,458 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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