| Literature DB >> 27890015 |
Jeffery Ho1, Hung Chan1, Sunny H Wong2,3, Maggie H T Wang4, Jun Yu5,6, Zhangang Xiao7, Xiaodong Liu1, Gordon Choi1, Czarina C H Leung1, Wai T Wong1, Zheng Li8, Tony Gin1, Matthew T V Chan9, William K K Wu10,11.
Abstract
BACKGROUND: 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.Entities:
Keywords: Biomarker; Inflammation; Sepsis; Shock; circRNA; lncRNA; microRNA
Mesh:
Substances:
Year: 2016 PMID: 27890015 PMCID: PMC5125038 DOI: 10.1186/s13054-016-1555-3
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 1Selection of studies. PMC PubMed Central
Summary of search results
| Themes | No. of studiesa | Key cellular pathways involved |
|---|---|---|
| Altered miRNA expression | 28 | Integrin signaling, leukocyte extravasation, apoptosis |
| Immune dysfunction | 31 | TNF-α/TLR/NF-κB |
| Endothelial dysfunction | 7 | MAPK/EGR, AP1/ NF-κB |
| Cardiopulmonary impairment | 20 | JNK PPARγ |
| Defects in other major organs | 12 | cAMP, Hxm1 |
| Biomarkers (in vitro, in vivo, and clinical evidence) | 28 | Various |
| Therapeutic agents | 17 | Various |
aThe total number of studies is not equal to 128 due to multiple themes addressed by the same article
AP1 activator protein 1, cAMP cyclic adenosine monophosphate, EGR early growth response, JNK cJun NH2-terminal kinase, MAPK mitogen-activated protein kinase, miRNA microRNA, NF nuclear factor, PPAR peroxisome proliferator-activated receptor, TLR Toll-like receptor, TNF tumor necrosis factor
Fig. 2Role of microRNA (miRNA) and long non-coding RNA (lncRNA) in sepsis. HuR, Human antigen R; eNOS, Endothelial nitric oxide synthase; MDSC, Myeloid derived suppressor cell; CISH, Cytokine-inducible SH2-containing protein; JNK, c-Jun N-terminal kinases (JNK); IRAK, Interleukin-1 receptor-associated kinase; MyD88, Myeloid differentiation primary response gene 88; TRAF6, TNF receptor-associated factor 6; BMPR2, Bone morphogenetic protein receptor type II; IkB, Inhibitor of Kappa B; NFkB, Nuclear factor kappa B; Sirt1, Sirtulin 1; Pim1, Proto-oncogene serine/threonine-protein kinase; SOX6, Sex-determining region Y box 6; PDCD4, Programmed cell death 4; BMAL1, Brain and muscle ARNT-like 1; PRKC, Primary rat kidney cell; PGC1a, PPAR gamma co-activator 1A
Use of microRNAs as diagnostic or prognostic markers
| 95% CI | ||||||||
|---|---|---|---|---|---|---|---|---|
| No. of subjects ( | Specimen | Sensitivity (%) | Specificity (%) | AUC | Lower bound | Upper bound | Reference | |
| Diagnostic markers | ||||||||
| miR-146a | SIRS (14) vs sepsis (14) | Plasma | 60 | 87.5 | 0.813 | 0.608 | 1.017 | [ |
| miR-15a | Healthy people (32) vs severe sepsis (62) | Plasma | n/a | n/a | 0.7 | 0.57 | 0.84 | [ |
| miR-27a | Healthy people (32) vs severe sepsis (62) | Plasma | n/a | n/a | 0.66 | 0.52 | 0.8 | [ |
| miR-34a | Healthy people (32) vs severe sepsis (62) | Plasma | n/a | n/a | 0.67 | 0.53 | 0.8 | [ |
| miR-15a + 27a + 34a | Healthy people (32) vs severe sepsis (62) | Plasma | n/a | n/a | 0.78 | 0.66 | 0.9 | [ |
| miR-150 | Healthy (21) vs SIRS (22) vs sepsis (23) | Whole blood | 72.7 | 85.7 | 0.83 | n/a | n/a | [ |
| miR4772-5p-iso | Healthy (21) vs SIRS (22) vs sepsis (23) | Whole blood | 68.2 | 71.4 | 0.76 | n/a | n/a | [ |
| miR-25 | SIRS (30) vs sepsis (70) | Whole blood | n/a | n/a | 0.806 | 0.701 | 0.912 | [ |
| miR-15a | SIRS (32) vs sepsis (166) | Serum | 68.3 | 94.4 | 0.858 | 0.8 | 0.916 | [ |
| miR-16 | SIRS (32) vs sepsis (166) | Serum | n/a | n/a | 0.55 | 0.455 | 0.644 | [ |
| miR-223 | Normal control (24) vs sepsis (166) | Whole blood | 38.21 | 83.72 | 0.608 | 0.519 | 0.697 | [ |
| miR-499-5p | Normal control (24) vs sepsis (166) | Whole blood | 68.29 | 65.12 | 0.686 | 0.592 | 0.779 | [ |
| miR-126 | SIRS (30) vs sepsis (50) | Serum | n/a | n/a | 0.607 | 0.448 | 0.766 | [ |
| miR-146a | SIRS (30) vs sepsis (50) | Serum | 63.3 | 100 | 0.804 | 0.679 | 0.928 | [ |
| miR-223 | SIRS (30) vs sepsis (50) | Serum | 80 | 100 | 0.858 | 0.748 | 0.968 | [ |
| miR-15a | Neonates with RTI (41) vs septic neonates (46) | Serum | n/a | n/a | 0.854 | n/a | n/a | [ |
| miR-15b | Neonates with RTI (41) vs septic neonates (46) | Serum | n/a | n/a | 0.629 | n/a | n/a | [ |
| miR-16 | Neonates with RTI (41) vs septic neonates (46) | Serum | n/a | n/a | 0.869 | n/a | n/a | [ |
| miR-223 | Neonates with RTI (41) vs septic neonates (46) | Serum | n/a | n/a | 0.632 | n/a | n/a | [ |
| Change of miRNA associated with poor prognosis | ||||||||
| ↓miR-25 | SIRS (30) vs sepsis (70) | Whole blood | n/a | n/a | 0.756 | 0.569 | 0.833 | [ |
| ↑miR-155 | Healthy people (30) vs septic patients (60) | Whole blood | n/a | n/a | 0.763 | 0.626 | 0.901 | [ |
| ↓miR-574-5p | Sepsis survivors (12) vs sepsis nonsurvivors (12) | Serum | 54.55 | 96.15 | 0.736 | 0.646 | 0.827 | [ |
CI confidence interval, miRNA microRNA, n/a not available, RTI respiratory tract infection, SIRS systemic inflammatory response syndrome