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Immune Checkpoints in Leprosy: Immunotherapy As a Feasible Approach to Control Disease Progression

Overview of attention for article published in Frontiers in immunology, December 2017
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Title
Immune Checkpoints in Leprosy: Immunotherapy As a Feasible Approach to Control Disease Progression
Published in
Frontiers in immunology, December 2017
DOI 10.3389/fimmu.2017.01724
Pubmed ID
Authors

Hayana Ramos Lima, Thaís Helena Gasparoto, Tatiana Salles de Souza Malaspina, Vinícius Rizzo Marques, Marina Jurado Vicente, Elaine Camarinha Marcos, Fabiana Corvolo Souza, Maria Renata Sales Nogueira, Jaison Antônio Barreto, Gustavo Pompermaier Garlet, João Santana da Silva, Vânia Nieto Brito-de-Souza, Ana Paula Campanelli

Abstract

Leprosy remains a health problem in several countries. Current management of patients with leprosy is complex and requires multidrug therapy. Nonetheless, antibiotic treatment is insufficient to prevent nerve disabilities and control Mycobacterium leprae. Successful infectious disease treatment demands an understanding of the host immune response against a pathogen. Immune-based therapy is an effective treatment option for malignancies and infectious diseases. A promising therapeutic approach to improve the clinical outcome of malignancies is the blockade of immune checkpoints. Immune checkpoints refer to a wide range of inhibitory or regulatory pathways that are critical for maintaining self-tolerance and modulating the immune response. Programmed cell-death protein-1 (PD-1), programmed cell death ligand-1 (PD-L1), cytotoxic T-lymphocyte-associated protein 4, and lymphocyte-activation gene-3 are the most important immune checkpoint molecules. Several pathogens, including M. leprae, are supposed to utilize these mechanisms to evade the host immune response. Regulatory T cells and expression of co-inhibitory molecules on lymphocytes induce specific T-cell anergy/exhaustion, leading to disseminated and progressive disease. From this perspective, we outline how the co-inhibitory molecules PD-1, PD-L1, and Th1/Th17 versus Th2/Treg cells are balanced, how antigen-presenting cell maturation acts at different levels to inhibit T cells and modulate the development of leprosy, and how new interventions interfere with leprosy development.

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The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Doctoral Student 6 16%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Other 2 5%
Other 7 19%
Unknown 10 27%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Immunology and Microbiology 5 14%
Biochemistry, Genetics and Molecular Biology 4 11%
Agricultural and Biological Sciences 3 8%
Nursing and Health Professions 2 5%
Other 4 11%
Unknown 11 30%
Attention Score in Context

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 11 January 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Frontiers in immunology
#20,307
of 31,537 outputs
Outputs of similar age
#279,752
of 445,007 outputs
Outputs of similar age from Frontiers in immunology
#430
of 596 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 28th percentile – i.e., 28% 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 445,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 596 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.