Serum microRNA-185 Levels and Myocardial Injury in Patients with Acute ST-segment Elevation Myocardial Infarction

Objective Human microRNA-185 (miR-185) has been reported to act as a regulator of fibrosis and angiogenesis in cancer. However, miR-185 has not been investigated in patients with ST-segment elevation myocardial infarction (STEMI). We hypothesized that the changes in miR-185 levels in STEMI patients are related to the processes of myocardial healing and remodeling. Methods Between January 2011 and December 2013, 145 patients with STEMI (65.9±11.6 years old; 41 women) were enrolled. Initial and discharge serum samples collected from 20 patients with STEMI and mixed sera from 8 healthy controls were analyzed by a microarray. A quantitative reverse transcription polymerase chain reaction (RT-qPCR) analysis of miR-185 was performed in all 145 patients. The correlation between the miR-185 levels and the clinical, laboratory, angiographic, and echocardiographic parameters was analyzed. Results The microarray analysis revealed a biphasic pattern in miR-185 levels, with an initial decrease followed by an increase at discharge. The miR-185 levels at discharge were significantly correlated with the troponin-I, CK-MB, and area under the curve of CK-MB levels. There was a positive correlation between the transforming growth factor-β and miR-185 levels at discharge (ρ=0.242, p=0.026). A high wall motion score index and a low ejection fraction, as measured by echocardiography, and high B-type natriuretic peptide level at one month after STEMI were related to high miR-185 levels. Conclusion Our results showed that elevated miR-185 levels at the late stage of STEMI were related to a large amount of myocardial injury and adverse remodeling.

Conserved Genomic Terminals of SARS-CoV-2 as Coevolving Functional Elements and Potential Therapeutic Targets

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over 40 million people worldwide, with over 1 million deaths as of October 2020 and with multiple efforts in the development and testing of antiviral drugs and vaccines under way. In order to gain insights into SARS-CoV-2 evolution and drug targets, we investigated how and to what extent the SARS-CoV-2 genome sequence differs from those of other well-characterized human and animal coronavirus genomes, as well as how polymorphic SARS-CoV-2 genomes are generally. We ultimately sought to identify features in the SARS-CoV-2 genome that may contribute to its viral replication, host pathogenicity, and vulnerabilities. Our analyses suggest the presence of unique sequence signatures in the 3' untranslated region (3'-UTR) of betacoronavirus lineage B, which phylogenetically encompasses SARS-CoV-2 and SARS-CoV as well as multiple groups of bat and animal coronaviruses. In addition, we identified genome-wide patterns of variation across different SARS-CoV-2 strains that likely reflect the effects of selection. Finally, we provide evidence for a possible host-microRNA-mediated interaction between the 3'-UTR and human microRNA hsa-miR-1307-3p based on the results of multiple computational target prediction analyses and an assessment of similar interactions involving the influenza A H1N1 virus. This interaction also suggests a possible survival mechanism, whereby a mutation in the SARS-CoV-2 3'-UTR leads to a weakened host immune response. The potential roles of host microRNAs in SARS-CoV-2 replication and infection and the exploitation of conserved features in the 3'-UTR as therapeutic targets warrant further investigation.IMPORTANCE The coronavirus disease 2019 (COVID-19) outbreak is having a dramatic global effect on public health and the economy. As of October 2020, SARS-CoV-2 has been detected in over 189 countries, has infected over 40 million people, and is responsible for more than 1 million deaths. The genome of SARS-CoV-2 is small but complex, and its functions and interactions with human host factors are being studied extensively. The significance of our study is that, using extensive SARS-CoV-2 genome analysis techniques, we identified potential interacting human host microRNA targets that share similarity with those of influenza A virus H1N1. Our study results will allow the development of virus-host interaction models that will enhance our understanding of SARS-CoV-2 pathogenesis and motivate the exploitation of both the interacting viral and host factors as therapeutic targets.