Title |
Molecular Regulatory Pathways Link Sepsis With Metabolic Syndrome: Non-coding RNA Elements Underlying the Sepsis/Metabolic Cross-Talk
|
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Published in |
Frontiers in Molecular Neuroscience, June 2018
|
DOI | 10.3389/fnmol.2018.00189 |
Pubmed ID | |
Authors |
Chanan Meydan, Uriya Bekenstein, Hermona Soreq |
Abstract |
Sepsis and metabolic syndrome (MetS) are both inflammation-related entities with high impact for human health and the consequences of concussions. Both represent imbalanced parasympathetic/cholinergic response to insulting triggers and variably uncontrolled inflammation that indicates shared upstream regulators, including short microRNAs (miRs) and long non-coding RNAs (lncRNAs). These may cross talk across multiple systems, leading to complex molecular and clinical outcomes. Notably, biomedical and RNA-sequencing based analyses both highlight new links between the acquired and inherited pathogenic, cardiac and inflammatory traits of sepsis/MetS. Those include the HOTAIR and MIAT lncRNAs and their targets, such as miR-122, -150, -155, -182, -197, -375, -608 and HLA-DRA. Implicating non-coding RNA regulators in sepsis and MetS may delineate novel high-value biomarkers and targets for intervention. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 18% |
Student > Ph. D. Student | 7 | 14% |
Student > Bachelor | 6 | 12% |
Student > Master | 5 | 10% |
Student > Doctoral Student | 4 | 8% |
Other | 5 | 10% |
Unknown | 13 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 12 | 24% |
Medicine and Dentistry | 8 | 16% |
Computer Science | 3 | 6% |
Neuroscience | 3 | 6% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 5 | 10% |
Unknown | 16 | 33% |