ArticlePloS one2017
Circulating miRNAs in sepsis-A network under attack: An in-silico prediction of the potential existence of miRNA sponges in sepsis.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 33 citations in OpenAlex.
- Quantifying pathway perturbations based on gene network rewiring in sepsis progression toward death or survival.Frontiers in bioinformatics · 2026Article
- Distinct systemic metabolic phenotypes associated with blood culture positivity and bacterial etiology in community-acquired pneumonia (CAP).Frontiers in cellular and infection microbiology · 2026Article
- Non-coding RNAs in disease: from mechanisms to therapeutics.Nature reviews. Genetics · 2024Review
- Urinary microRNAs in sepsis function as a novel prognostic marker.Experimental and therapeutic medicine · 2023Article
- Extracellular RNA Sensing Mediates Inflammation and Organ Injury in a Murine Model of Polytrauma.Journal of immunology (Baltimore, Md. : 1950) · 2023Article
- Expression Profile of miRNA from High, Middle, and Low Stress-Responding Sheep during Bacterial Endotoxin Challenge.Animals : an open access journal from MDPI · 2023Article
- Practical application of a Bayesian network approach to poultry epigenetics and stress.BMC bioinformatics · 2022Article
- Protective Role of lncRNA TTN-AS1 in Sepsis-Induced Myocardial Injury Via miR-29a/E2F2 Axis.Cardiovascular drugs and therapy · 2022Article
- lncRNA NEAT1 aggravates sepsis-induced lung injury by regulating the miR-27a/PTEN axis.Laboratory investigation; a journal of technical methods and pathology · 2021Article
- Editing and Chemical Modifications on Non-Coding RNAs in Cancer: A New Tale with Clinical Significance.International journal of molecular sciences · 2021Review
- LncRNA LUADT1 sponges miR-195 to prevent cardiac endothelial cell apoptosis in sepsis.Molecular medicine (Cambridge, Mass.) · 2020Article
- The Role of MicroRNAs in Acute Respiratory Distress Syndrome and Sepsis, From Targets to Therapies: A Narrative Review.Anesthesia and analgesia · 2020Review
- Identification of Ovine Serum miRNAs Following Bacterial Lipopolysaccharide Challenge.International journal of molecular sciences · 2020Article
- LncRNA KCNQ1OT1 attenuates sepsis-induced myocardial injury via regulating miR-192-5p/XIAP axis.Experimental biology and medicine (Maywood, N.J.) · 2020Article
- miR-543 regulates the epigenetic landscape of myelofibrosis by targeting TET1 and TET2.JCI insight · 2020Article
- The non-coding RNome after splenectomy.Journal of cellular and molecular medicine · 2019Article
- Noncoding RNAs in Extracellular Fluids as Cancer Biomarkers: The New Frontier of Liquid Biopsies.Cancers · 2019Review
- The involvement of microRNA in the pathogenesis of Richter syndrome.Haematologica · 2019Article
- Paving the way for precision medicine v2.0 in intensive care by profiling necroinflammation in biofluids.Cell death and differentiation · 2019Review
- MicroRNA Expression is Associated with Sepsis Disorders in Critically Ill Polytrauma Patients.Cells · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
Biomarkers based on the molecular mechanism of sepsis are important for timely diagnosis and treatment. A large panel of small non-coding microRNAs was reported to modulate the immune response in sepsis but have not been tested in clinical practice. Large-scale identification of microRNA networks in sepsis might reveal a new biological mechanism that can be also targeted by gene therapy. Therefore, the main objective of this study is to perform a comparison of the miRNA network between septic patients and healthy controls. We used the previously measured levels of expression of 16 different circulating human and viral microRNAs in plasma from 99 septic patients and 53 healthy controls. We used three different computational methods to find correlations between the expressions of microRNAs and to build microRNA networks for the two categories, septic patients and healthy controls. We found that the microRNA network of the septic patients is significantly less connected when compared to miRNA network of the healthy controls (21 edges vs 52 edges, P < 0.0001). We hypothesize that several microRNAs (miR-16, miR-29a, miR-146, miR-155, and miR-182) are being sponged in sepsis explaining the loss of connection in the septic patient miRNA network. This was specific for sepsis, as it did not occur in other conditions characterized by an increased inflammatory response such as in post-surgery patients. Using several target prediction instruments, we predicted potential common sponges for the miRNA network in sepsis from several signaling pathways. Understanding the dynamics of miRNA network in sepsis is useful to explain the molecular pathophysiology of sepsis and for designing therapeutic strategies that target essential components of the immune response pathways.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.