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Relationship of cell-free urine MicroRNA with lupus nephritis in children

Overview of attention for article published in Pediatric Rheumatology, January 2016
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3 tweeters

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30 Mendeley
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Title
Relationship of cell-free urine MicroRNA with lupus nephritis in children
Published in
Pediatric Rheumatology, January 2016
DOI 10.1186/s12969-016-0064-x
Pubmed ID
Authors

Khalid M. Abulaban, Ndate Fall, Ravi Nunna, Jun Ying, Prasad Devarajan, Alexi Grom, Michael Bennett, Stacy P. Ardoin, Hermine I. Brunner

Abstract

MicroRNAs (miRNAs) are involved in the post-transcriptional regulation of genes. The objective of this study was to investigate whether select urinary cell-free microRNA's may serve as biomarkers in children with active lupus nephritis (LN) and to assess their relationship to the recently identified combinatorial urine biomarkers, a.k.a. the LN-Panel (neutrophil gelatinase associated lipocalin, monocyte chemotactic protein 1, transferrin, and beta-trace protein). miRNAs (125a, 127, 146a, 150 and 155) were measured using real-time polymerase chain reaction in the urine pellet (PEL) and supernatant (SUP) in 14 patients with active LN, 10 patients with active extra-renal lupus, and 10 controls. The concentrations of the LN-Panel biomarkers (neutrophil gelatinase associated lipocalin, monocyte chemotactic protein-1, transferrin, beta-trace protein) was assayed. Traditional laboratory and clinical measures of LN and lupus (complements, protein to creatinine ratio; Systemic Lupus Erythematosus Disease Activity Index) were also measured. All tested miRNAs in the SUP, but not the PEL, were associated with the LN-Panel biomarkers (0.3 < |r Pearson| < 0.73; p < 0.05), miRNA125a, miRNA127,miRNA146a also with C3 and dsDNA antibody levels (|r Pearson| > 0.24; p < 0.05), and miRNA146a with the renal domain of the SLEDAI (|r Pearson| = 0.32; p < 0.05). Mean miRNA levels of patients with active LN did not statistically (P > 0.05) differ from those of SLE patients without LN or controls. Levels of cell-free miR-125a, miR-150, and miR-155 in the urine supernatant are associated with the expression of LN-Panel biomarkers and some LN measures. These miRNA's may complement, but are unlikely superior to the LN-Panel for estimating concurrent LN activity.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 20%
Student > Master 5 17%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 10%
Professor > Associate Professor 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 13 43%
Agricultural and Biological Sciences 4 13%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 8 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2016.
All research outputs
#3,267,387
of 7,017,937 outputs
Outputs from Pediatric Rheumatology
#105
of 234 outputs
Outputs of similar age
#148,476
of 314,016 outputs
Outputs of similar age from Pediatric Rheumatology
#9
of 15 outputs
Altmetric has tracked 7,017,937 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 234 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 47th percentile – i.e., 47% 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 314,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.