Circulating miRNAs in sepsis—A network under attack: An in-silico prediction of the potential existence of miRNA sponges in sepsis

Catalin Vasilescu, Mihnea Dragomir, Mihai Tanase, Dana Giza, Raluca Purnichescu-Purtan, Meng Chen, Sai-Ching Jim Yeung and George A Calin

PLOS ONE, 2017, vol. 12, issue 8, 1-21

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

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0183334

DOI: 10.1371/journal.pone.0183334

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