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Evaluation of Microrna Expression Pattern (Mir-28, Mir-181A, Mir-34A, and Mir-31) in Patients With Covid-19 Admitted to Icu and Diabetic Covid-19 Patients Publisher Pubmed



Khatami A1 ; Taghizadieh M2 ; Nahand JS3 ; Karimzadeh M4, 5 ; Kiani SJ1 ; Khanaliha K6 ; Kalantari S7 ; Chavoshpour S8 ; Mirzaei H9 ; Donyavi T10 ; Bokharaeisalim F1
Authors
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Authors Affiliations
  1. 1. Department of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Pathology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4. Core Research Facilities (CRF), Isfahan University of Medical Science, Isfahan, Iran
  5. 5. Infectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  6. 6. Research Center of Pediatric Infectious Diseases, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
  7. 7. Departments of Infectious Diseases and Tropical Medicine, Iran University of Medical Sciences, Tehran, Iran
  8. 8. Department of Virology, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran
  9. 9. Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
  10. 10. Medical Biotechnology Department, School of Allied Medical Sciences, Iran University of Medical Sciences, Kermanshah, Iran

Source: Intervirology Published:2023


Abstract

Introduction: MicroRNAs, or miRNAs, with regulatory performance in inflammatory responses and infection are the prevalent manifestations of severe coronavirus disease (COVID-19). This study aimed to evaluate whether PBMC miRNAs are diagnostic biomarkers to screen the ICU COVID-19 and diabetic COVID-19 subjects. Methods: Candidate miRNAs were selected through previous studies, and then the PBMC levels of selected miRNAs (miR-28, miR-31, miR-34a, and miR-181a) were measured via quantitative reverse transcription PCR. The diagnostic value of miRNAs was determined by the receiver operating characteristic (ROC) curve. The bioinformatics analysis was utilized to predict the DEM genes and relevant bio-functions. Results: The COVID-19 patients admitted to ICU had significantly greater levels of selected miRNAs compared to non-hospitalized COVID-19 and healthy people. Besides, the mean miR-28 and miR-34a expression levels in the diabetic COVID-19 group were significantly upregulated when compared with the non-diabetic COVID-19 group. ROC analyses demonstrated the role of miR-28, miR-34a, and miR-181a as new biomarkers to discriminate the non-hospitalized COVID-19 group from the COVID-19 patients admitted to ICU samples, and also miR-34a can probably act as a useful biomarker for screening diabetic COVID-19 patients. Using bioinformatics analyses, we found the performance of target transcripts in many bioprocesses and diverse metabolic routes such as the regulation of multiple inflammatory parameters. Discussion: The difference in miRNA expression patterns between the studied groups suggested that miR-28, miR-34a, and miR-181a could be helpful as potent biomarkers for diagnosing and controlling COVID-19. © 2023 The Author(s). Published by S. Karger AG, Basel.
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