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Gao LJ, He ZM, Li YY, Yang RR, Yan M, Shang X, Cao JM. Role of OAS gene family in COVID-19 induced heart failure. J Transl Med 2023; 21:212. [PMID: 36949448 PMCID: PMC10031198 DOI: 10.1186/s12967-023-04058-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 03/12/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND COVID-19, the current global pandemic caused by SARS-CoV-2 infection, can damage the heart and lead to heart failure (HF) and even cardiac death. The 2',5'-oligoadenylate synthetase (OAS) gene family encode interferon (IFN)-induced antiviral proteins which is associated with the antiviral immune responses of COVID-19. While the potential association of OAS gene family with cardiac injury and failure in COVID-19 has not been determined. METHODS The expression levels and biological functions of OAS gene family in SARS-CoV-2 infected cardiomyocytes dataset (GSE150392) and HF dataset (GSE120852) were determined by comprehensive bioinformatic analysis and experimental validation. The associated microRNAs (miRNAs) were explored from Targetscan and GSE104150. The potential OAS gene family-regulatory chemicals or ingredients were predicted using Comparative Toxicogenomics Database (CTD) and SymMap database. RESULTS The OAS genes were highly expressed in both SARS-CoV-2 infected cardiomyocytes and failing hearts. The differentially expressed genes (DEGs) in the two datasets were enriched in both cardiovascular disease and COVID-19 related pathways. The miRNAs-target analysis indicated that 10 miRNAs could increase the expression of OAS genes. A variety of chemicals or ingredients were predicted regulating the expression of OAS gene family especially estradiol. CONCLUSION OAS gene family is an important mediator of HF in COVID-19 and may serve as a potential therapeutic target for cardiac injury and HF in COVID-19.
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Affiliation(s)
- Li-Juan Gao
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
| | - Zhong-Mei He
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China
| | - Yi-Ying Li
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China
| | - Rui-Rui Yang
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China
| | - Min Yan
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China
| | - Xuan Shang
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China
| | - Ji-Min Cao
- Key Laboratory of Cellular Physiology, Department of Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
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Evrev D, Sekulovski M, Gulinac M, Dobrev H, Velikova T, Hadjidekov G. Retroperitoneal and abdominal bleeding in anticoagulated COVID-19 hospitalized patients: Case series and brief literature review. World J Clin Cases 2023; 11:1528-1548. [PMID: 36926396 PMCID: PMC10011983 DOI: 10.12998/wjcc.v11.i7.1528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/17/2022] [Accepted: 02/10/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Hospitalized and severely ill coronavirus disease 2019 (COVID-19) patients necessitate prophylactic or therapeutic anticoagulation to minimize the risk of thrombosis at different sites. Life-threatening bleeding complications include spontaneous iliopsoas hematoma, peritoneal bleeding, and extra-abdominal manifestations such as intracranial hemorrhage.
CASE SUMMARY Bleeding in the abdominal wall results in less severe complications than seen with iliopsoas hematoma or peritoneal bleeding. In our case series of 9 patients, we present retroperitoneal and abdominal bleeding complications following anticoagulation in hospitalized COVID-19 patients with severe acute respiratory syndrome coronavirus 2 pneumonia. Contrast-enhanced computed tomography (CE-CT) is the best imaging modality for assessing hematoma secondary to anticoagulation and determines the therapeutic approach, whether interventional, surgical, or conservative management.
CONCLUSION We present the role of CE-CT for rapid and precise localization of the bleeding site and prognostic counseling. Finally, we provide a brief review of the literature.
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Affiliation(s)
- Delian Evrev
- Department of Cardiac Surgery, University Hospital Lozenetz, Sofia 1407, Bulgaria
- Medical Faculty, Sofia University St. Kliment Ohridski, Sofia 1407, Bulgaria
| | - Metodija Sekulovski
- Medical Faculty, Sofia University St. Kliment Ohridski, Sofia 1407, Bulgaria
- Department of Anesthesiology and Intensive Care, University Hospital Lozenetz, Sofia 1407, Bulgaria
| | - Milena Gulinac
- Department of General and Clinical Pathology, Medical University of Plovdiv, Plovdiv 6000, Bulgaria
| | - Hristo Dobrev
- Department of Cardiac Surgery, University Hospital Lozenetz, Sofia 1407, Bulgaria
| | - Tsvetelina Velikova
- Medical Faculty, Sofia University St. Kliment Ohridski, Sofia 1407, Bulgaria
| | - George Hadjidekov
- Medical Faculty, Sofia University St. Kliment Ohridski, Sofia 1407, Bulgaria
- Department of Radiology, University Hospital “Lozenetz”, Kozyak 1 str., Sofia 1407, Bulgaria
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Mulla S, Molla MA, Ahmed SMA, Akhtaruzzaman AKM, Saleh AA, Anwar S. Association of interferon gamma inducible protein-10, monocyte chemoattractant protein-1, macrophage inflammatory protein-1 alpha, interleukin-6, and rs12252 single nucleotide polymorphism of interferon-induced transmembrane protein-3 gene with the severity of COVID-19 infection. THE EGYPTIAN JOURNAL OF INTERNAL MEDICINE 2022; 34:53. [PMID: 35822078 PMCID: PMC9264736 DOI: 10.1186/s43162-022-00141-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 06/16/2022] [Indexed: 12/15/2022] Open
Abstract
Background Evaluating the serum levels of IP-10, MCP-1, MIP-1α, and IL-6 and genotyping of rs12252 SNP of IFITM3 gene among different categories of COVID-19 patients might aid in understanding the pathogenesis of COVID-19 and contribute to developing disease-specific biomarkers and therapeutic strategies. Methods This is a cross-sectional study involving a total of 84 COVID-19 patients confirmed by positive RT-PCR and 28 healthy controls. COVID-19 patients were recruited from the intensive care unit (ICU) and COVID unit of Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka. COVID-19 patients were categorized into moderate, severe, and critically ill groups according to the World Health Organization classification. The serum IP-10, MCP-1, and MIP-1α levels were measured by cytometric bead array assay by flow cytometry, and serum IL-6 level was detected by the chemiluminescence method. rs12252 SNP of the IFITM3 gene was detected by polymerase chain reaction-restriction fragment length polymorphism (PCR RFLP). Results The serum IP-10, MCP-1, MIP-1α, and IL-6 levels among critically ill COVID-19 patients were significantly higher than that in patients with moderate disease and healthy controls (p < 0.001). Genotype distribution for rs12252 (42 T/C) SNP of the IFITM3 gene between the different groups of COVID-19 patients and healthy controls showed that CC genotype was statistically associated with disease severity (p < 0.001). Conclusions IP-10 and MCP-1, MIP-α, IL-6, and CC genotype of rs12252 (42 T/C) SNP of IFITM3 gene are associated with COVID-19 severity.
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Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases. Sci Rep 2022; 12:20167. [PMID: 36424512 PMCID: PMC9686236 DOI: 10.1038/s41598-022-24611-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 11/17/2022] [Indexed: 11/27/2022] Open
Abstract
To create a scientific resource of expression quantitative trail loci (eQTL), we conducted a genome-wide association study (GWAS) using genotypes obtained from whole genome sequencing (WGS) of DNA and gene expression levels from RNA sequencing (RNA-seq) of whole blood in 2622 participants in Framingham Heart Study. We identified 6,778,286 cis-eQTL variant-gene transcript (eGene) pairs at p < 5 × 10-8 (2,855,111 unique cis-eQTL variants and 15,982 unique eGenes) and 1,469,754 trans-eQTL variant-eGene pairs at p < 1e-12 (526,056 unique trans-eQTL variants and 7233 unique eGenes). In addition, 442,379 cis-eQTL variants were associated with expression of 1518 long non-protein coding RNAs (lncRNAs). Gene Ontology (GO) analyses revealed that the top GO terms for cis-eGenes are enriched for immune functions (FDR < 0.05). The cis-eQTL variants are enriched for SNPs reported to be associated with 815 traits in prior GWAS, including cardiovascular disease risk factors. As proof of concept, we used this eQTL resource in conjunction with genetic variants from public GWAS databases in causal inference testing (e.g., COVID-19 severity). After Bonferroni correction, Mendelian randomization analyses identified putative causal associations of 60 eGenes with systolic blood pressure, 13 genes with coronary artery disease, and seven genes with COVID-19 severity. This study created a comprehensive eQTL resource via BioData Catalyst that will be made available to the scientific community. This will advance understanding of the genetic architecture of gene expression underlying a wide range of diseases.
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Ishak A, Mehendale M, AlRawashdeh MM, Sestacovschi C, Sharath M, Pandav K, Marzban S. The association of COVID-19 severity and susceptibility and genetic risk factors: A systematic review of the literature. Gene 2022; 836:146674. [PMID: 35714803 PMCID: PMC9195407 DOI: 10.1016/j.gene.2022.146674] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/27/2022] [Accepted: 06/10/2022] [Indexed: 11/15/2022]
Abstract
Background COVID-19 is associated with several risk factors such as distinct ethnicities (genetic ancestry), races, sexes, age, pre-existing comorbidities, smoking, and genetics. The authors aim to evaluate the correlation between variability in the host genetics and the severity and susceptibility towards COVID-19 in this study. Methods Following the PRISMA guidelines, we retrieved all the relevant articles published until September 15, 2021, from two online databases: PubMed and Scopus. Findings High-risk HLA haplotypes, higher expression of ACE polymorphisms, and several genes of cellular proteases such as TMPRSS2, FURIN, TLL-1 increase the risk of susceptibility and severity of COVID-19. In addition, upregulation of several genes encoding for both innate and acquired immune systems proteins, mainly CCR5, IFNs, TLR, DPPs, and TNF, positively correlate with COVID-19 severity. However, reduced expression or polymorphisms in genes affecting TLR and IFNλ increase COVID-19 severity. Conclusion Higher expression, polymorphisms, mutations, and deletions of several genes are linked with the susceptibility, severity, and clinical outcomes of COVID-19. Early treatment and vaccination of individuals with genetic predisposition could help minimize the severity and mortality associated with COVID-19.
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Affiliation(s)
- Angela Ishak
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA.
| | - Meghana Mehendale
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
| | - Mousa M AlRawashdeh
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA; European University Cyprus - School of Medicine, Nicosia, Cyprus
| | - Cristina Sestacovschi
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
| | - Medha Sharath
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA; Bangalore Medical College and Research Institute, Bangalore, Karnataka, India
| | - Krunal Pandav
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
| | - Sima Marzban
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
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Liu C, Joehanes R, Ma J, Wang Y, Sun X, Keshawarz A, Sooda M, Huan T, Hwang SJ, Bui H, Tejada B, Munson PJ, Cumhur D, Heard-Costa NL, Pitsillides AN, Peloso GM, Feolo M, Sharopova N, Vasan RS, Levy D. Whole Genome DNA and RNA Sequencing of Whole Blood Elucidates the Genetic Architecture of Gene Expression Underlying a Wide Range of Diseases. RESEARCH SQUARE 2022:rs.3.rs-1598646. [PMID: 35664994 PMCID: PMC9164515 DOI: 10.21203/rs.3.rs-1598646/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
To create a scientific resource of expression quantitative trail loci (eQTL), we conducted a genome-wide association study (GWAS) using genotypes obtained from whole genome sequencing (WGS) of DNA and gene expression levels from RNA sequencing (RNA-seq) of whole blood in 2622 participants in Framingham Heart Study. We identified 6,778,286 cis -eQTL variant-gene transcript (eGene) pairs at p < 5x10 - 8 (2,855,111 unique cis -eQTL variants and 15,982 unique eGenes) and 1,469,754 trans -eQTL variant-eGene pairs at p < 1e-12 (526,056 unique trans -eQTL variants and 7,233 unique eGenes). In addition, 442,379 cis -eQTL variants were associated with expression of 1518 long non-protein coding RNAs (lncRNAs). Gene Ontology (GO) analyses revealed that the top GO terms for cis- eGenes are enriched for immune functions (FDR < 0.05). The cis -eQTL variants are enriched for SNPs reported to be associated with 815 traits in prior GWAS, including cardiovascular disease risk factors. As proof of concept, we used this eQTL resource in conjunction with genetic variants from public GWAS databases in causal inference testing (e.g., COVID-19 severity). After Bonferroni correction, Mendelian randomization analyses identified putative causal associations of 60 eGenes with systolic blood pressure, 13 genes with coronary artery disease, and seven genes with COVID-19 severity. This study created a comprehensive eQTL resource via BioData Catalyst that will be made available to the scientific community. This will advance understanding of the genetic architecture of gene expression underlying a wide range of diseases.
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Liu C, Joehanes R, Ma J, Wang Y, Sun X, Keshawarz A, Sooda M, Huan T, Hwang SJ, Bui H, Tejada B, Munson PJ, Cumhur D, Heard-Costa NL, Pitsillides AN, Peloso GM, Feolo M, Sharopova N, Vasan RS, Levy D. Whole Genome DNA and RNA Sequencing of Whole Blood Elucidates the Genetic Architecture of Gene Expression Underlying a Wide Range of Diseases. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.04.13.22273841. [PMID: 35547845 PMCID: PMC9094109 DOI: 10.1101/2022.04.13.22273841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
To create a scientific resource of expression quantitative trail loci (eQTL), we conducted a genome-wide association study (GWAS) using genotypes obtained from whole genome sequencing (WGS) of DNA and gene expression levels from RNA sequencing (RNA-seq) of whole blood in 2622 participants in Framingham Heart Study. We identified 6,778,286 cis -eQTL variant-gene transcript (eGene) pairs at p <5×10 -8 (2,855,111 unique cis -eQTL variants and 15,982 unique eGenes) and 1,469,754 trans -eQTL variant-eGene pairs at p <1e-12 (526,056 unique trans -eQTL variants and 7,233 unique eGenes). In addition, 442,379 cis -eQTL variants were associated with expression of 1518 long non-protein coding RNAs (lncRNAs). Gene Ontology (GO) analyses revealed that the top GO terms for cis- eGenes are enriched for immune functions (FDR <0.05). The cis -eQTL variants are enriched for SNPs reported to be associated with 815 traits in prior GWAS, including cardiovascular disease risk factors. As proof of concept, we used this eQTL resource in conjunction with genetic variants from public GWAS databases in causal inference testing (e.g., COVID-19 severity). After Bonferroni correction, Mendelian randomization analyses identified putative causal associations of 60 eGenes with systolic blood pressure, 13 genes with coronary artery disease, and seven genes with COVID-19 severity. This study created a comprehensive eQTL resource via BioData Catalyst that will be made available to the scientific community. This will advance understanding of the genetic architecture of gene expression underlying a wide range of diseases.
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Affiliation(s)
- Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Yuxuan Wang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Xianbang Sun
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Meera Sooda
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tianxiao Huan
- University of Massachusetts Medical School, Worcester, MA, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Helena Bui
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brandon Tejada
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter J Munson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Nancy L Heard-Costa
- Framingham Heart Study, Framingham, MA, USA
- Departments of Medicine and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | | | - Gina M Peloso
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Michael Feolo
- University of Massachusetts Medical School, Worcester, MA, USA
| | | | - Ramachandran S Vasan
- Framingham Heart Study, Framingham, MA, USA
- Departments of Medicine and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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The Evolutionary Dance between Innate Host Antiviral Pathways and SARS-CoV-2. Pathogens 2022; 11:pathogens11050538. [PMID: 35631059 PMCID: PMC9147806 DOI: 10.3390/pathogens11050538] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 04/29/2022] [Accepted: 04/30/2022] [Indexed: 02/04/2023] Open
Abstract
Compared to what we knew at the start of the SARS-CoV-2 global pandemic, our understanding of the interplay between the interferon signaling pathway and SARS-CoV-2 infection has dramatically increased. Innate antiviral strategies range from the direct inhibition of viral components to reprograming the host’s own metabolic pathways to block viral infection. SARS-CoV-2 has also evolved to exploit diverse tactics to overcome immune barriers and successfully infect host cells. Herein, we review the current knowledge of the innate immune signaling pathways triggered by SARS-CoV-2 with a focus on the type I interferon response, as well as the mechanisms by which SARS-CoV-2 impairs those defenses.
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