• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Virus Res . Long non-coding RNAs ANRIL, THRIL, and NEAT1 as potential circulating biomarkers of SARS-CoV-2 infection and disease severity

tetano

Editor, Senior Moderator
Virus Res


. 2023 Aug 30;199214.
doi: 10.1016/j.virusres.2023.199214. Online ahead of print. Long non-coding RNAs ANRIL, THRIL, and NEAT1 as potential circulating biomarkers of SARS-CoV-2 infection and disease severity

Zeynab Rahni[SUP] 1 [/SUP], Seyed Masoud Hosseini[SUP] 2 [/SUP], Shabnam Shahrokh[SUP] 3 [/SUP], Mahsa Saeedi Niasar[SUP] 3 [/SUP], Shahrzad Shoraka[SUP] 3 [/SUP], Hamed Mirjalali[SUP] 4 [/SUP], Ehsan Nazemalhosseini-Mojarad[SUP] 3 [/SUP], Mohammad Rostami-Nejad[SUP] 3 [/SUP], Habib Malekpour[SUP] 5 [/SUP], Mohammad Reza Zali[SUP] 3 [/SUP], Seyed Reza Mohebbi[SUP] 6 [/SUP]



Affiliations
Abstract

The current outbreak of coronavirus disease 2019 (COVID-19) is a global emergency, as its rapid spread and high mortality rate, which poses a significant threat to public health. Innate immunity plays a crucial role in the primary defense against infections, and recent studies have highlighted the pivotal regulatory function of long non-coding RNAs (lncRNAs) in innate immune responses. This study aims to assess the circulating levels of lncRNAs namely ANRIL, THRIL, NEAT1, and MALAT1 in the blood of moderate and severe SARS-CoV-2 infected patients, in comparison to healthy individuals. Additionally, it aims to explore the potential of these lncRNAs as biomarkers for determining the severity of the disease. The blood samples were collected from a total of 38 moderate and 25 severe COVID-19 patients, along with 30 healthy controls. The total RNA was extracted and qPCR was performed to evaluate the blood levels of the lncRNAs. The results indicate significantly higher expression levels of lncRNAs ANRIL and THRIL in severe patients when compared to moderate patients (P value= 0.0307, P value= 0.0059, respectively). Moreover, the expression levels of lncRNAs ANRIL and THRIL were significantly up-regulated in both moderate and severe patients in comparison to the control group (P value< 0.001, P value< 0.001, P value= 0.001, P value< 0.001, respectively). The expression levels of lncRNA NEAT1 were found to be significantly higher in both moderate and severe COVID-19 patients compared to the healthy group (P value< 0.001, P value< 0.001, respectively), and there was no significant difference in the expression levels of NEAT1 between moderate and severe patients (P value= 0.6979). The expression levels of MALAT1 in moderate and severe patients did not exhibit a significant difference compared to the control group (P value= 0.677, P value= 0.764, respectively). Furthermore, the discriminative power of ANRIL and THRIL was significantly higher in the severe patient group than the moderate group (Area under curve (AUC)= 0.6879; P-value= 0.0122, AUC= 0.6947; P-value= 0.0093, respectively). In conclusion, the expression levels of the lncRNAs ANRIL and THRIL are correlated with the severity of COVID-19 and can be regarded as circulating biomarkers for disease progression.

Keywords: ANRIL; COVID-19; Long non-coding RNA; MALAT1; NEAT1; SARS-CoV-2; THRIL.

 
Back
Top Bottom