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Potential Chronotherapeutic Optimization of Antimalarials in Systemic Lupus Erythematosus: Is Toll-Like Receptor 9 Expression Dependent on the Circadian Cycle in Humans?

Overview of attention for article published in Frontiers in immunology, July 2018
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Title
Potential Chronotherapeutic Optimization of Antimalarials in Systemic Lupus Erythematosus: Is Toll-Like Receptor 9 Expression Dependent on the Circadian Cycle in Humans?
Published in
Frontiers in immunology, July 2018
DOI 10.3389/fimmu.2018.01497
Pubmed ID
Authors

Erika Aurora Martínez-García, Maria Guadalupe Zavala-Cerna, Andrea Verónica Lujano-Benítez, Pedro Ernesto Sánchez-Hernández, Beatriz Teresita Martín-Márquez, Flavio Sandoval-García, Mónica Vázquez-Del Mercado

Abstract

Toll-like receptor 9 (TLR9) belongs to the group of endosomal receptors of the innate immune system with the ability to recognize hypomethylated CpG sequences from DNA. There is scarce information about TLR9 expression and its association with the circadian cycle (CC). Different patterns of TLR9 expression are regulated by the CC in mice, with an elevated expression at Zeitgeber time 19 (1:00 a.m.); nevertheless, we still need to corroborate this in humans. In systemic lupus erythematosus (SLE), the inhibitory effect of chloroquine (CQ) on TLR9 is limited. TLR9 activation has been associated with the presence of some autoantibodies: anti-Sm/RNP, anti-histone, anti-Ro, anti-La, and anti-double-stranded DNA. Treatment with CQ for SLE has been proven to be useful, in part by interfering with HLA-antigen coupling and with TLR9 ligand recognition. Studies have shown that TLR9 inhibitors such as antimalarial drugs are able to mask TLR9-binding sites on nucleic acids. The data presented here provide the basic information that could be useful for other clinical researchers to design studies that will have an impact in achieving a chronotherapeutic effect by defining the ideal time for CQ administration in SLE patients, consequently reducing the pathological effects that follow the activation of TLR9.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Master 4 16%
Other 2 8%
Researcher 2 8%
Student > Doctoral Student 2 8%
Other 1 4%
Unknown 8 32%
Readers by discipline Count As %
Immunology and Microbiology 5 20%
Biochemistry, Genetics and Molecular Biology 4 16%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 8%
Unknown 9 36%
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 24 July 2018.
All research outputs
#23,485,937
of 26,161,782 outputs
Outputs from Frontiers in immunology
#28,331
of 33,001 outputs
Outputs of similar age
#302,325
of 344,038 outputs
Outputs of similar age from Frontiers in immunology
#672
of 738 outputs
Altmetric has tracked 26,161,782 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,001 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% 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 344,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 738 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.