Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study

Background and Aims. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a worldwide pandemic, activates signaling cascades and leads to innate immune responses and secretion of multiple chemokines and cytokines. Long noncoding RNAs (lncRNAs) have a crucial role in inflammatory pathways. T...

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Main Authors: Zahra Firoozi, Elham Mohammadisoleimani, Farzaneh Bagheri, Atefeh Taheri, Babak Pezeshki, Mohammad Mehdi Naghizadeh, Abdolreza Daraei, Jalal Karimi, Yousef Gholampour, Yaser Mansoori, Zahra Montaseri
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Genetics Research
Online Access:http://dx.doi.org/10.1155/2024/3391054
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author Zahra Firoozi
Elham Mohammadisoleimani
Farzaneh Bagheri
Atefeh Taheri
Babak Pezeshki
Mohammad Mehdi Naghizadeh
Abdolreza Daraei
Jalal Karimi
Yousef Gholampour
Yaser Mansoori
Zahra Montaseri
author_facet Zahra Firoozi
Elham Mohammadisoleimani
Farzaneh Bagheri
Atefeh Taheri
Babak Pezeshki
Mohammad Mehdi Naghizadeh
Abdolreza Daraei
Jalal Karimi
Yousef Gholampour
Yaser Mansoori
Zahra Montaseri
author_sort Zahra Firoozi
collection DOAJ
description Background and Aims. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a worldwide pandemic, activates signaling cascades and leads to innate immune responses and secretion of multiple chemokines and cytokines. Long noncoding RNAs (lncRNAs) have a crucial role in inflammatory pathways. Through our search on the PubMed database, we discovered that existing research has primarily focused on examining the regulatory impacts of five lncRNAs in the context of viral infections. However, their role in regulating other conditions, including SARS-CoV-2, has not been explored. Therefore, this study aimed to investigate the expression pattern of lncRNAs in the peripheral blood mononuclear cells (PBMC) and their potential roles in SARS-CoV-2 infection. Potentially significant competing endogenous RNA (ceRNA) networks of these five lncRNAs were found using online in-silico techniques. Methods. Ethylenediaminetetraacetic acid (EDTA) blood samples of the control group consisted of 45 healthy people, and a total of 53 COVID-19-infected patients in case group, with a written informed consent, was collected. PBMCs were extracted, and then, the RNA extraction and complementary DNA (cDNA) synthesis was performed. The expression of five lncRNAs (lnc ISR, lnc ATV, lnc PAAN, lnc SG20, and lnc HEAL) was assessed by real-time PCR. In order to evaluate the biomarker roles of genes, receiver operating characteristic (ROC) curve was drawn. Results. Twenty-four (53.3%) and 29 (54.7%) of healthy and COVID-19-infected participants were male, respectively. The most prevalent symptoms were as follows: cough, general weakness, contusion, headache, and sore throat. The results showed that three lncRNAs, including lnc ISR, lnc ATV, and lnc HEAL, were expressed dramatically higher in the case group compared to healthy controls. According to ROC curve analysis, lnc ATV has a higher AUC and is a better biomarker to differentiate COVID-19 patients from the healthy controls. Then, using bioinformatics methods, the ceRNA network of these lncRNAs enabled the identification of mRNAs and miRNAs with crucial functions in COVID-19. Conclusion. The considerable higher expression of ISR, ATV, and HEAL lncRNAs and the significant area under curve (AUC) in ROC curve demonstrate that these RNAs probably have a potential role in controlling the host innate immune responses and regulate the viral replication of SARS-CoV-2. However, these assumptions need further in vitro and in vivo investigations to be confirmed.
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spelling doaj-art-feaa9be9a1db4d2b9134407124922f232025-02-03T01:29:32ZengWileyGenetics Research1469-50732024-01-01202410.1155/2024/3391054Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control StudyZahra Firoozi0Elham Mohammadisoleimani1Farzaneh Bagheri2Atefeh Taheri3Babak Pezeshki4Mohammad Mehdi Naghizadeh5Abdolreza Daraei6Jalal Karimi7Yousef Gholampour8Yaser Mansoori9Zahra Montaseri10Department of Medical GeneticsUSERN OfficeUSERN OfficeDepartment of Tissue Engineering and Regenerative MedicineDepartment of Internal MedicineNoncommunicable Diseases Research CenterDepartment of Medical GeneticsDepartment of Infectious DiseasesDepartment of Internal MedicineDepartment of Medical GeneticsDepartment of Infectious DiseasesBackground and Aims. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a worldwide pandemic, activates signaling cascades and leads to innate immune responses and secretion of multiple chemokines and cytokines. Long noncoding RNAs (lncRNAs) have a crucial role in inflammatory pathways. Through our search on the PubMed database, we discovered that existing research has primarily focused on examining the regulatory impacts of five lncRNAs in the context of viral infections. However, their role in regulating other conditions, including SARS-CoV-2, has not been explored. Therefore, this study aimed to investigate the expression pattern of lncRNAs in the peripheral blood mononuclear cells (PBMC) and their potential roles in SARS-CoV-2 infection. Potentially significant competing endogenous RNA (ceRNA) networks of these five lncRNAs were found using online in-silico techniques. Methods. Ethylenediaminetetraacetic acid (EDTA) blood samples of the control group consisted of 45 healthy people, and a total of 53 COVID-19-infected patients in case group, with a written informed consent, was collected. PBMCs were extracted, and then, the RNA extraction and complementary DNA (cDNA) synthesis was performed. The expression of five lncRNAs (lnc ISR, lnc ATV, lnc PAAN, lnc SG20, and lnc HEAL) was assessed by real-time PCR. In order to evaluate the biomarker roles of genes, receiver operating characteristic (ROC) curve was drawn. Results. Twenty-four (53.3%) and 29 (54.7%) of healthy and COVID-19-infected participants were male, respectively. The most prevalent symptoms were as follows: cough, general weakness, contusion, headache, and sore throat. The results showed that three lncRNAs, including lnc ISR, lnc ATV, and lnc HEAL, were expressed dramatically higher in the case group compared to healthy controls. According to ROC curve analysis, lnc ATV has a higher AUC and is a better biomarker to differentiate COVID-19 patients from the healthy controls. Then, using bioinformatics methods, the ceRNA network of these lncRNAs enabled the identification of mRNAs and miRNAs with crucial functions in COVID-19. Conclusion. The considerable higher expression of ISR, ATV, and HEAL lncRNAs and the significant area under curve (AUC) in ROC curve demonstrate that these RNAs probably have a potential role in controlling the host innate immune responses and regulate the viral replication of SARS-CoV-2. However, these assumptions need further in vitro and in vivo investigations to be confirmed.http://dx.doi.org/10.1155/2024/3391054
spellingShingle Zahra Firoozi
Elham Mohammadisoleimani
Farzaneh Bagheri
Atefeh Taheri
Babak Pezeshki
Mohammad Mehdi Naghizadeh
Abdolreza Daraei
Jalal Karimi
Yousef Gholampour
Yaser Mansoori
Zahra Montaseri
Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
Genetics Research
title Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
title_full Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
title_fullStr Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
title_full_unstemmed Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
title_short Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
title_sort evaluation of the expression of infection related long noncoding rnas among covid 19 patients a case control study
url http://dx.doi.org/10.1155/2024/3391054
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