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The involvement of regulatory non-coding RNAs in sepsis: a systematic review

Overview of attention for article published in Critical Care, November 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)

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6 X users

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Title
The involvement of regulatory non-coding RNAs in sepsis: a systematic review
Published in
Critical Care, November 2016
DOI 10.1186/s13054-016-1555-3
Pubmed ID
Authors

Jeffery Ho, Hung Chan, Sunny H. Wong, Maggie H. T. Wang, Jun Yu, Zhangang Xiao, Xiaodong Liu, Gordon Choi, Czarina C. H. Leung, Wai T. Wong, Zheng Li, Tony Gin, Matthew T. V. Chan, William K. K. Wu

Abstract

Sepsis coincides with altered gene expression in different tissues. Accumulating evidence has suggested that microRNAs, long non-coding RNAs, and circular RNAs are important molecules involved in the crosstalk with various pathways pertinent to innate immunity, mitochondrial functions, and apoptosis. We searched articles indexed in PubMed (MEDLINE), EMBASE and Europe PubMed Central databases using the Medical Subject Heading (MeSH) or Title/Abstract words ("microRNA", "long non-coding RNA", "circular RNA", "sepsis" and/or "septic shock") from inception to Sep 2016. Studies investigating the role of host-derived microRNA, long non-coding RNA, and circular RNA in the pathogenesis of and as biomarkers or therapeutics in sepsis were included. Data were extracted in terms of the role of non-coding RNAs in pathogenesis, and their applicability for use as biomarkers or therapeutics in sepsis. Two independent researchers assessed the quality of studies using a modified guideline from the Systematic Review Center for Laboratory animal Experimentation (SYRCLE), a tool based on the Cochrane Collaboration Risk of Bias tool. Observational studies revealed dysregulation of non-coding RNAs in septic patients. Experimental studies confirmed their crosstalk with JNK/NF-κB and other cellular pathways pertinent to innate immunity, mitochondrial function, and apoptosis. Of the included studies, the SYRCLE scores ranged from 3 to 7 (average score of 4.55). This suggests a moderate risk of bias. Of the 10 articles investigating non-coding RNAs as biomarkers, none of them included a validation cohort. Selective reporting of sensitivity, specificity, and receiver operating curve was common. Although non-coding RNAs appear to be good candidates as biomarkers and therapeutics for sepsis, their differential expression across tissues complicated the process. Further investigation on organ-specific delivery of these regulatory molecules may be useful.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 16%
Student > Ph. D. Student 14 15%
Student > Bachelor 13 14%
Student > Master 10 11%
Other 7 8%
Other 16 18%
Unknown 16 18%
Readers by discipline Count As %
Medicine and Dentistry 28 31%
Biochemistry, Genetics and Molecular Biology 14 15%
Agricultural and Biological Sciences 8 9%
Immunology and Microbiology 7 8%
Nursing and Health Professions 4 4%
Other 11 12%
Unknown 19 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 January 2018.
All research outputs
#8,523,642
of 25,497,142 outputs
Outputs from Critical Care
#4,385
of 6,574 outputs
Outputs of similar age
#141,562
of 417,771 outputs
Outputs of similar age from Critical Care
#82
of 94 outputs
Altmetric has tracked 25,497,142 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 6,574 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 33rd percentile – i.e., 33% 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 417,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.