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Milcamps R, Michiels T. Involvement of paraspeckle components in viral infections. Nucleus 2024; 15:2350178. [PMID: 38717150 PMCID: PMC11086011 DOI: 10.1080/19491034.2024.2350178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024] Open
Abstract
Paraspeckles are non-membranous subnuclear bodies, formed through the interaction between the architectural long non-coding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 (NEAT1) and specific RNA-binding proteins, including the three Drosophila Behavior/Human Splicing (DBHS) family members (PSPC1 (Paraspeckle Component 1), SFPQ (Splicing Factor Proline and Glutamine Rich) and NONO (Non-POU domain-containing octamer-binding protein)). Paraspeckle components were found to impact viral infections through various mechanisms, such as induction of antiviral gene expression, IRES-mediated translation, or viral mRNA polyadenylation. A complex involving NEAT1 RNA and paraspeckle proteins was also found to modulate interferon gene transcription after nuclear DNA sensing, through the activation of the cGAS-STING axis. This review aims to provide an overview on how these elements actively contribute to the dynamics of viral infections.
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Affiliation(s)
- Romane Milcamps
- Université catholique de Louvain, de Duve Institute, Brussels, Belgium
| | - Thomas Michiels
- Université catholique de Louvain, de Duve Institute, Brussels, Belgium
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2
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Aghajani Mir M. Illuminating the pathogenic role of SARS-CoV-2: Insights into competing endogenous RNAs (ceRNAs) regulatory networks. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 122:105613. [PMID: 38844190 DOI: 10.1016/j.meegid.2024.105613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/20/2024] [Accepted: 05/31/2024] [Indexed: 06/10/2024]
Abstract
The appearance of SARS-CoV-2 in 2019 triggered a significant economic and health crisis worldwide, with heterogeneous molecular mechanisms that contribute to its development are not yet fully understood. Although substantial progress has been made in elucidating the mechanisms behind SARS-CoV-2 infection and therapy, it continues to rank among the top three global causes of mortality due to infectious illnesses. Non-coding RNAs (ncRNAs), being integral components across nearly all biological processes, demonstrate effective importance in viral pathogenesis. Regarding viral infections, ncRNAs have demonstrated their ability to modulate host reactions, viral replication, and host-pathogen interactions. However, the complex interactions of different types of ncRNAs in the progression of COVID-19 remains understudied. In recent years, a novel mechanism of post-transcriptional gene regulation known as "competing endogenous RNA (ceRNA)" has been proposed. Long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and viral ncRNAs function as ceRNAs, influencing the expression of associated genes by sequestering shared microRNAs. Recent research on SARS-CoV-2 has revealed that disruptions in specific ceRNA regulatory networks (ceRNETs) contribute to the abnormal expression of key infection-related genes and the establishment of distinctive infection characteristics. These findings present new opportunities to delve deeper into the underlying mechanisms of SARS-CoV-2 pathogenesis, offering potential biomarkers and therapeutic targets. This progress paves the way for a more comprehensive understanding of ceRNETs, shedding light on the intricate mechanisms involved. Further exploration of these mechanisms holds promise for enhancing our ability to prevent viral infections and develop effective antiviral treatments.
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Affiliation(s)
- Mahsa Aghajani Mir
- Deputy of Research and Technology, Babol University of Medical Sciences, Babol, Iran.
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3
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Guo N, Han X, Han G, Dai M, Han Z, Li Q. Bioinformation Analysis of Differential Expression Proteins in Different Processes of COVID-19. Viral Immunol 2024; 37:194-201. [PMID: 38717820 DOI: 10.1089/vim.2023.0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
Abstract
COVID-19 is a highly infectious respiratory disease whose progression has been associated with multiple factors. From SARS-CoV-2 infection to death, biomarkers capable of predicting different disease processes are needed to help us further understand the molecular progression of COVID-19 disease. The aim is to find differentially expressed proteins that are associated with the progression of COVID-19 disease or can be potential biomarkers, and to provide a reference for further understanding of the molecular mechanisms of COVID-19 occurrence, progression, and treatment. Data-independent Acquisition (DIA) proteomics to obtain sample protein expression data, using R language screening differentially expressed proteins. Gene Ontology and Kyoto Encyclopedia for Genes and Genomes analysis was performed on differential proteins and protein-protein interaction (PPI) network was constructed to screen key proteins. A total of 47 differentially expressed proteins were obtained from COVID-19 incubation patients and healthy population (L/H), mainly enriched in platelet-related functions, and complement and coagulation cascade reaction pathways, such as platelet degranulation and platelet aggregation. A total of 42 differential proteins were obtained in clinical and latent phase patients (C/L), also mainly enriched in platelet-related functions and in complement and coagulation cascade reactions, platelet activation pathways. A total of 10 differential proteins were screened in recovery and clinical phase patients (R/C), mostly immune-related proteins. The differentially expressed proteins in different stages of COVID-19 are mostly closely associated with coagulation, and key differential proteins, such as FGA, FGB, FGG, ACTB, PFN1, VCL, SERPZNCL, APOC3, LTF, and DEFA1, have the potential to be used as early diagnostic markers.
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Affiliation(s)
- Nana Guo
- Hebei Province Center for Disease Control and Prevention, Shijiazhuang, China
| | - Xu Han
- Hebei Province Center for Disease Control and Prevention, Shijiazhuang, China
| | - Guangyue Han
- Hebei Province Center for Disease Control and Prevention, Shijiazhuang, China
| | - Mingyan Dai
- Hebei Medical University, Shijiazhuang, China
| | - Zhanying Han
- Hebei Province Center for Disease Control and Prevention, Shijiazhuang, China
| | - Qi Li
- Hebei Province Center for Disease Control and Prevention, Shijiazhuang, China
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4
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Iancu IV, Diaconu CC, Plesa A, Fudulu A, Albulescu A, Neagu AI, Pitica IM, Dragu LD, Bleotu C, Chivu‐Economescu M, Matei L, Mambet C, Nedeianu S, Popescu CP, Sultana C, Ruta SM, Botezatu A. LncRNAs expression profile in a family household cluster of COVID-19 patients. J Cell Mol Med 2024; 28:e18226. [PMID: 38501860 PMCID: PMC10949602 DOI: 10.1111/jcmm.18226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/19/2024] [Accepted: 02/24/2024] [Indexed: 03/20/2024] Open
Abstract
More than 3 years after the start of SARS-CoV-2 pandemic, the molecular mechanisms behind the viral pathogenesis are still not completely understood. Long non-coding RNAs (lncRNAs), well-known players in viral infections, can represent prime candidates for patients' risk stratification. The purpose of the current study was to investigate the lncRNA profile in a family cluster of COVID-19 cases with different disease progression, during the initial wave of the pandemic and to evaluate their potential as biomarkers for COVID-19 evolution. LncRNA expression was investigated in nasopharyngeal swabs routinely collected for diagnosis. Distinct expression patterns of five lncRNAs (HOTAIR, HOTAIRM1, TMEVPG1, NDM29 and snaR) were identified in all the investigated cases, and they were associated with disease severity. Additionally, a significant increase in the expression of GAS5-family and ZFAS1 lncRNAs, which target factors involved in the inflammatory response, was observed in the sample collected from the patient with the most severe disease progression. An lncRNA prognostic signature was defined, opening up novel research avenues in understanding the interactions between lncRNAs and SARS-CoV-2.
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Affiliation(s)
| | | | - Adriana Plesa
- Stefan S Nicolau Institute of VirologyBucharestRomania
| | - Alina Fudulu
- Stefan S Nicolau Institute of VirologyBucharestRomania
| | - Adrian Albulescu
- Stefan S Nicolau Institute of VirologyBucharestRomania
- Department of PharmacologyNational Institute for Chemical Pharmaceutical Research and DevelopmentBucharestRomania
| | - Ana Iulia Neagu
- Stefan S Nicolau Institute of VirologyBucharestRomania
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | | | | | | | | | - Lilia Matei
- Stefan S Nicolau Institute of VirologyBucharestRomania
| | | | | | - Corneliu Petru Popescu
- Carol Davila University of Medicine and PharmacyBucharestRomania
- Dr Victor Babes Infectious and Tropical Diseases Clinical HospitalBucharestRomania
| | - Camelia Sultana
- Stefan S Nicolau Institute of VirologyBucharestRomania
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - Simona Maria Ruta
- Stefan S Nicolau Institute of VirologyBucharestRomania
- Carol Davila University of Medicine and PharmacyBucharestRomania
| | - Anca Botezatu
- Stefan S Nicolau Institute of VirologyBucharestRomania
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Farahmandnejad M, Mosaddeghi P, Dorvash M, Sakhteman A, Negahdaripour M, Faridi P. Correlation of Myeloid-Derived Suppressor Cell Expansion with Upregulated Transposable Elements in Severe COVID-19 Unveiled in Single-Cell RNA Sequencing Reanalysis. Biomedicines 2024; 12:315. [PMID: 38397917 PMCID: PMC10887269 DOI: 10.3390/biomedicines12020315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/14/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Some studies have investigated the potential role of transposable elements (TEs) in COVID-19 pathogenesis and complications. However, to the best of our knowledge, there is no study to examine the possible association of TE expression in cell functions and its potential role in COVID-19 immune response at the single-cell level. In this study, we reanalyzed single-cell RNA seq data of bronchoalveolar lavage (BAL) samples obtained from six severe COVID-19 patients and three healthy donors to assess the probable correlation of TE expression with the immune responses induced by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in COVID-19 patients. Our findings indicate that the expansion of myeloid-derived suppressor cells (MDSCs) may be a characteristic feature of COVID-19. Additionally, a significant increase in TE expression in MDSCs was observed. This upregulation of TEs in COVID-19 may be linked to the adaptability of these cells in response to their microenvironments. Furthermore, it appears that the identification of overexpressed TEs by pattern recognition receptors (PRRs) in MDSCs may enhance the suppressive capacity of these cells. Thus, this study emphasizes the crucial role of TEs in the functionality of MDSCs during COVID-19.
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Affiliation(s)
- Mitra Farahmandnejad
- Quality Control of Drug Products Department, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran;
- Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Pouria Mosaddeghi
- Medicinal Plants Processing Research Center, School of Pharmacy, Shiraz University of Medical Science, Shiraz 71348-14336, Iran;
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Mohammadreza Dorvash
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia;
| | - Amirhossein Sakhteman
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, 80333 Munich, Germany;
| | - Manica Negahdaripour
- Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Pouya Faridi
- Monash Proteomics and Metabolomics Platform, Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC 3800, Australia
- Centre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
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6
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Lin X, Lu Y, Zhang C, Cui Q, Tang YD, Ji X, Cui C. LncRNADisease v3.0: an updated database of long non-coding RNA-associated diseases. Nucleic Acids Res 2024; 52:D1365-D1369. [PMID: 37819033 PMCID: PMC10767967 DOI: 10.1093/nar/gkad828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/04/2023] [Accepted: 09/21/2023] [Indexed: 10/13/2023] Open
Abstract
Systematic integration of lncRNA-disease associations is of great importance for further understanding their underlying molecular mechanisms and exploring lncRNA-based biomarkers and therapeutics. The database of long non-coding RNA-associated diseases (LncRNADisease) is designed for the above purpose. Here, an updated version (LncRNADisease v3.0) has curated comprehensive lncRNA (including circRNA) and disease associations from the burgeoning literatures. LncRNADisease v3.0 exhibits an over 2-fold increase in experimentally supported associations, with a total of 25440 entries, compared to the last version. Besides, each lncRNA-disease pair is assigned a confidence score based on experimental evidence. Moreover, all associations between lncRNAs/circRNAs and diseases are classified into general associations and causal associations, representing whether lncRNAs or circRNAs can directly lead to the development or progression of corresponding diseases, with 15721 and 9719 entries, respectively. In a case study, we used the data of LncRNADisease v3.0 to calculate the phenotypic similarity between human and mouse lncRNAs. This database will continue to serve as a valuable resource for potential clinical applications related to lncRNAs and circRNAs. LncRNADisease v3.0 is freely available at http://www.rnanut.net/lncrnadisease.
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Affiliation(s)
- Xiao Lin
- Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China
| | - Yingyu Lu
- Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China
| | - Chenhao Zhang
- Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China
| | - Qinghua Cui
- Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China
- School of Sports Medicine, Wuhan Institute of Physical Education, No.461 Luoyu Rd. Wuchang District, WuHan 430079, Hubei Province, China
| | - Yi-Da Tang
- Department of Cardiology and Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University Third Hospital, 49 Huayuanbei Road, Beijing 100191, China
| | - Xiangwen Ji
- Department of Cardiology and Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University Third Hospital, 49 Huayuanbei Road, Beijing 100191, China
| | - Chunmei Cui
- Department of Biomedical Informatics, Center for Noncoding RNA Medicine, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China
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7
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Bhargava A, Szachnowski U, Chazal M, Foretek D, Caval V, Aicher SM, Pipoli da Fonseca J, Jeannin P, Beauclair G, Monot M, Morillon A, Jouvenet N. Transcriptomic analysis of sorted lung cells revealed a proviral activity of the NF-κB pathway toward SARS-CoV-2. iScience 2023; 26:108449. [PMID: 38213785 PMCID: PMC10783605 DOI: 10.1016/j.isci.2023.108449] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/30/2023] [Accepted: 11/10/2023] [Indexed: 01/13/2024] Open
Abstract
Investigations of cellular responses to viral infection are commonly performed on mixed populations of infected and uninfected cells or using single-cell RNA sequencing, leading to inaccurate and low-resolution gene expression interpretations. Here, we performed deep polyA+ transcriptome analyses and novel RNA profiling of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected lung epithelial cells, sorted based on the expression of the viral spike (S) protein. Infection caused a massive reduction in mRNAs and long non-coding RNAs (lncRNAs), including transcripts coding for antiviral factors, such as interferons (IFNs). This absence of IFN signaling probably explained the poor transcriptomic response of bystander cells co-cultured with S+ ones. NF-κB pathway and the inflammatory response escaped the global shutoff in S+ cells. Functional investigations revealed the proviral function of the NF-κB pathway and the antiviral activity of CYLD, a negative regulator of the pathway. Thus, our transcriptomic analysis on sorted cells revealed additional genes that modulate SARS-CoV-2 replication in lung cells.
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Affiliation(s)
- Anvita Bhargava
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Virus sensing and signaling Unit, 75015 Paris, France
| | - Ugo Szachnowski
- CNRS UMR3244, Sorbonne University, PSL University, Institut Curie, Centre de Recherche, 75005 Paris, France
| | - Maxime Chazal
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Virus sensing and signaling Unit, 75015 Paris, France
| | - Dominika Foretek
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Virus sensing and signaling Unit, 75015 Paris, France
- CNRS UMR3244, Sorbonne University, PSL University, Institut Curie, Centre de Recherche, 75005 Paris, France
| | - Vincent Caval
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Virus sensing and signaling Unit, 75015 Paris, France
| | - Sophie-Marie Aicher
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Virus sensing and signaling Unit, 75015 Paris, France
| | | | - Patricia Jeannin
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Unité Épidémiologie et Physiopathologie des Virus Oncogènes, 75015 Paris, France
| | - Guillaume Beauclair
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91190 Gif-sur-Yvette, France
| | - Marc Monot
- Institut Pasteur, Université de Paris, Biomics Platform, C2RT, 75015 Paris, France
| | - Antonin Morillon
- CNRS UMR3244, Sorbonne University, PSL University, Institut Curie, Centre de Recherche, 75005 Paris, France
| | - Nolwenn Jouvenet
- Institut Pasteur, Université de Paris, CNRS UMR 3569, Virus sensing and signaling Unit, 75015 Paris, France
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8
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Shahbaz MA, Kuivanen S, Lampinen R, Mussalo L, Hron T, Závodná T, Ojha R, Krejčík Z, Saveleva L, Tahir NA, Kalapudas J, Koivisto AM, Penttilä E, Löppönen H, Singh P, Topinka J, Vapalahti O, Chew S, Balistreri G, Kanninen KM. Human-derived air-liquid interface cultures decipher Alzheimer's disease-SARS-CoV-2 crosstalk in the olfactory mucosa. J Neuroinflammation 2023; 20:299. [PMID: 38098019 PMCID: PMC10722731 DOI: 10.1186/s12974-023-02979-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND The neurological effects of the coronavirus disease of 2019 (COVID-19) raise concerns about potential long-term consequences, such as an increased risk of Alzheimer's disease (AD). Neuroinflammation and other AD-associated pathologies are also suggested to increase the risk of serious SARS-CoV-2 infection. Anosmia is a common neurological symptom reported in COVID-19 and in early AD. The olfactory mucosa (OM) is important for the perception of smell and a proposed site of viral entry to the brain. However, little is known about SARS-CoV-2 infection at the OM of individuals with AD. METHODS To address this gap, we established a 3D in vitro model of the OM from primary cells derived from cognitively healthy and AD individuals. We cultured the cells at the air-liquid interface (ALI) to study SARS-CoV-2 infection under controlled experimental conditions. Primary OM cells in ALI expressed angiotensin-converting enzyme 2 (ACE-2), neuropilin-1 (NRP-1), and several other known SARS-CoV-2 receptor and were highly vulnerable to infection. Infection was determined by secreted viral RNA content and confirmed with SARS-CoV-2 nucleocapsid protein (NP) in the infected cells by immunocytochemistry. Differential responses of healthy and AD individuals-derived OM cells to SARS-CoV-2 were determined by RNA sequencing. RESULTS Results indicate that cells derived from cognitively healthy donors and individuals with AD do not differ in susceptibility to infection with the wild-type SARS-CoV-2 virus. However, transcriptomic signatures in cells from individuals with AD are highly distinct. Specifically, the cells from AD patients that were infected with the virus showed increased levels of oxidative stress, desensitized inflammation and immune responses, and alterations to genes associated with olfaction. These results imply that individuals with AD may be at a greater risk of experiencing severe outcomes from the infection, potentially driven by pre-existing neuroinflammation. CONCLUSIONS The study sheds light on the interplay between AD pathology and SARS-CoV-2 infection. Altered transcriptomic signatures in AD cells may contribute to unique symptoms and a more severe disease course, with a notable involvement of neuroinflammation. Furthermore, the research emphasizes the need for targeted interventions to enhance outcomes for AD patients with viral infection. The study is crucial to better comprehend the relationship between AD, COVID-19, and anosmia. It highlights the importance of ongoing research to develop more effective treatments for those at high risk of severe SARS-CoV-2 infection.
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Affiliation(s)
- Muhammad Ali Shahbaz
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland
| | - Suvi Kuivanen
- Department of Virology, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Institute of Virology, 10117, Berlin, Germany
| | - Riikka Lampinen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland
| | - Laura Mussalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland
| | - Tomáš Hron
- Institute of Molecular Genetics, Czech Academy of Sciences, 142 20, Prague, Czech Republic
| | - Táňa Závodná
- Department of Genetic Toxicology and Epigenetics, Institute of Experimental Medicine, Czech Academy of Sciences, 142 20, Prague, Czech Republic
| | - Ravi Ojha
- Department of Virology, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - Zdeněk Krejčík
- Department of Genetic Toxicology and Epigenetics, Institute of Experimental Medicine, Czech Academy of Sciences, 142 20, Prague, Czech Republic
| | - Liudmila Saveleva
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland
| | - Numan Ahmad Tahir
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland
| | - Juho Kalapudas
- Department of Neurology, Neuro Centre, Kuopio University Hospital, 70210, Kuopio, Finland
| | - Anne M Koivisto
- Department of Neurology, Neuro Centre, Kuopio University Hospital, 70210, Kuopio, Finland
- Brain Research Unit, Department of Neurology, School of Medicine, University of Eastern Finland, 70210, Kuopio, Finland
- Department of Neurology and Geriatrics, Helsinki University Hospital and Neurosciences, Faculty of Medicine, University of Helsinki, 00014, Helsinki, Finland
| | - Elina Penttilä
- Department of Otorhinolaryngology, University of Eastern Finland and Kuopio University Hospital, 70210, Kuopio, Finland
| | - Heikki Löppönen
- Department of Otorhinolaryngology, University of Eastern Finland and Kuopio University Hospital, 70210, Kuopio, Finland
| | | | - Jan Topinka
- Department of Genetic Toxicology and Epigenetics, Institute of Experimental Medicine, Czech Academy of Sciences, 142 20, Prague, Czech Republic
| | - Olli Vapalahti
- Department of Virology, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
| | - Sweelin Chew
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland
| | - Giuseppe Balistreri
- Department of Virology, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
- The Queensland Brain Institute, University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Katja M Kanninen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, 70210, Kuopio, Finland.
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9
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Liu X, Xiong W, Ye M, Lu T, Yuan K, Chang S, Han Y, Wang Y, Lu L, Bao Y. Non-coding RNAs expression in SARS-CoV-2 infection: pathogenesis, clinical significance, and therapeutic targets. Signal Transduct Target Ther 2023; 8:441. [PMID: 38057315 PMCID: PMC10700414 DOI: 10.1038/s41392-023-01669-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 09/12/2023] [Accepted: 09/28/2023] [Indexed: 12/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been looming globally for three years, yet the diagnostic and treatment methods for COVID-19 are still undergoing extensive exploration, which holds paramount importance in mitigating future epidemics. Host non-coding RNAs (ncRNAs) display aberrations in the context of COVID-19. Specifically, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) exhibit a close association with viral infection and disease progression. In this comprehensive review, an overview was presented of the expression profiles of host ncRNAs following SARS-CoV-2 invasion and of the potential functions in COVID-19 development, encompassing viral invasion, replication, immune response, and multiorgan deficits which include respiratory system, cardiac system, central nervous system, peripheral nervous system as well as long COVID. Furthermore, we provide an overview of several promising host ncRNA biomarkers for diverse clinical scenarios related to COVID-19, such as stratification biomarkers, prognostic biomarkers, and predictive biomarkers for treatment response. In addition, we also discuss the therapeutic potential of ncRNAs for COVID-19, presenting ncRNA-based strategies to facilitate the development of novel treatments. Through an in-depth analysis of the interplay between ncRNA and COVID-19 combined with our bioinformatic analysis, we hope to offer valuable insights into the stratification, prognosis, and treatment of COVID-19.
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Affiliation(s)
- Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Wandi Xiong
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
- Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, 570228, Haikou, China
| | - Maosen Ye
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, 650204, Kunming, Yunnan, China
| | - Tangsheng Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Ying Han
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Yongxiang Wang
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, 250117, Jinan, Shandong, China.
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China.
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, 250117, Jinan, Shandong, China.
- School of Public Health, Peking University, 100191, Beijing, China.
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10
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Thatai AKS, Ammankallu S, Devasahayam Arokia Balaya R, Soman SP, Nisar M, Babu S, John L, George A, Anto CK, Sanjeev D, Kandiyil MK, Raj SS, Awasthi K, Vinodchandra SS, Prasad TSK, Raju R. VirhostlncR: A comprehensive database to explore lncRNAs and their targets in viral infections. Comput Biol Med 2023; 164:107279. [PMID: 37572440 DOI: 10.1016/j.compbiomed.2023.107279] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 07/11/2023] [Accepted: 07/16/2023] [Indexed: 08/14/2023]
Abstract
Long non-coding-RNAs (lncRNAs) are an expanding set of cis-/trans-regulatory RNA genes that outnumber the protein-coding genes. Although being increasingly discovered, the functional role of the majority of lncRNAs in diverse biological conditions is undefined. Increasing evidence supports the critical role of lncRNAs in the emergence, regulation, and progression of various viral infections including influenza, hepatitis, coronavirus, and human immunodeficiency virus. Hence, the identification of signature lncRNAs would facilitate focused analysis of their functional roles accounting for their targets and regulatory mechanisms associated with infections. Towards this, we compiled 2803 lncRNAs identified to be modulated by 33 viral strains in various mammalian cell types and are provided through the resource named VirhostlncR (http://ciods.in/VirhostlncR/). The information on each of the viral strains, their multiplicity of infection, duration of infection, host cell name and cell types, fold change of lncRNA expression, and their specific identification methods are integrated into VirhostlncR. Based on the current datasets, we report 150 lncRNAs including differentiation antagonizing non-protein coding RNA (DANCR), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), maternally expressed gene 3 (MEG3), nuclear paraspeckle assembly transcript 1 (NEAT1), and plasmacytoma variant translocation 1 (PVT1) to be perturbed by two or more viruses. Analysis of viral protein interactions with human transcription factors (TFs) or TF-containing protein complexes identified that distinct viruses can transcriptionally regulate many of these lncRNAs through multiple protein complexes. Together, we believe that the current dataset will enable priority selection of lncRNAs for identification of their targets and serve as an effective platform for the analysis of noncoding RNA-mediated regulations in viral infections.
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Affiliation(s)
- Arun Kumar Sumaithangi Thatai
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India.
| | - Shruthi Ammankallu
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India.
| | - Rex Devasahayam Arokia Balaya
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Sreelakshmi Pathappillil Soman
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India; Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Mahammad Nisar
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Sreeranjini Babu
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India; Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Levin John
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Anju George
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India.
| | - Christy Kallely Anto
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Diya Sanjeev
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India.
| | - Mrudula Kinarulla Kandiyil
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India.
| | - Sini S Raj
- Department of Computer Science, University of Kerala, Thiruvananthapuram, 695 581, Kerala, India.
| | - Kriti Awasthi
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India.
| | - S S Vinodchandra
- Department of Computer Science, University of Kerala, Thiruvananthapuram, 695 581, Kerala, India.
| | - Thottethodi Subrahmanya Keshava Prasad
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India; Omics Analytics Pvt. Ltd., Yenepoya Incubator, Deralakatte, Mangalore, 575 018, Karnataka, India.
| | - Rajesh Raju
- Centre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575 018, Karnataka, India; Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Manjanade, Mangalore, 575 018, Karnataka, India; Omics Analytics Pvt. Ltd., Yenepoya Incubator, Deralakatte, Mangalore, 575 018, Karnataka, India.
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11
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Arman K, Dalloul Z, Bozgeyik E. Emerging role of microRNAs and long non-coding RNAs in COVID-19 with implications to therapeutics. Gene 2023; 861:147232. [PMID: 36736508 PMCID: PMC9892334 DOI: 10.1016/j.gene.2023.147232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/21/2023] [Accepted: 01/25/2023] [Indexed: 02/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection which is commonly known as COVID-19 (COronaVIrus Disease 2019) has creeped into the human population taking tolls of life and causing tremendous economic crisis. It is indeed crucial to gain knowledge about their characteristics and interactions with human host cells. It has been shown that the majority of our genome consists of non-coding RNAs. Non-coding RNAs including micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs) display significant roles in regulating gene expression in almost all cancers and viral diseases. It is intriguing that miRNAs and lncRNAs remarkably regulate the function and expression of major immune components of SARS-CoV-2. MiRNAs act via RNA interference mechanism in which they bind to the complementary sequences of the viral RNA strand, inducing the formation of silencing complex that eventually degrades or inhibits the viral RNA and viral protein expression. LncRNAs have been extensively shown to regulate gene expression in cytokine storm and thus emerges as a critical target for COVID-19 treatment. These lncRNAs also act as competing endogenous RNAs (ceRNAs) by sponging miRNAs and thus affecting the expression of downstream targets during SARS-CoV-2 infection. In this review, we extensively discuss the role of miRNAs and lncRNAs, describe their mechanism of action and their different interacting human targets cells during SARS-CoV-2 infection. Finally, we discuss possible ways how an interference with their molecular function could be exploited for new therapies against SARS-CoV-2.
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Affiliation(s)
- Kaifee Arman
- Institut de recherches cliniques de Montréal, Montréal, QC H2W 1R7, Canada.
| | - Zeinab Dalloul
- Institut de recherches cliniques de Montréal, Montréal, QC H2W 1R7, Canada
| | - Esra Bozgeyik
- Department of Medical Services and Techniques, Vocational School of Health Services, Adiyaman University, Adiyaman, Turkey
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12
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COVID-19: Mechanisms, risk factors, genetics, non-coding RNAs and neurologic impairments. Noncoding RNA Res 2023; 8:240-254. [PMID: 36852336 PMCID: PMC9946734 DOI: 10.1016/j.ncrna.2023.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/18/2023] [Accepted: 02/18/2023] [Indexed: 02/24/2023] Open
Abstract
The novel coronavirus infection (COVID-19) causes a severe acute illness with the development of respiratory distress syndrome in some cases. COVID-19 is a global problem of mankind to this day. Among its most important aspects that require in-depth study are pathogenesis and molecular changes in severe forms of the disease. A lot of literature data is devoted to the pathogenetic mechanisms of COVID-19. Without dwelling in detail on some paths of pathogenesis discussed, we note that at present there are many factors of development and progression. Among them, this is the direct role of both viral non-coding RNAs (ncRNAs) and host ncRNAs. One such class of ncRNAs that has been extensively studied in COVID-19 is microRNAs (miRNAs) and long non-coding RNAs (lncRNAs). Moreover, Initially, it was believed that this COVID-19 was limited to damage to the respiratory system. It has now become clear that COVID-19 affects not only the liver and kidneys, but also the nervous system. In this review, we summarized the current knowledge of mechanisms, risk factors, genetics and neurologic impairments in COVID-19. In addition, we discuss and evaluate evidence demonstrating the involvement of miRNAs and lnRNAs in COVID-19 and use this information to propose hypotheses for future research directions.
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13
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Mukherjee SB, Mukherjee S, Detroja R, Frenkel-Morgenstern M. The landscape of differential splicing and transcript alternations in severe COVID-19 infection. FEBS J 2023. [PMID: 36628954 DOI: 10.1111/febs.16723] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 10/25/2022] [Accepted: 01/09/2023] [Indexed: 01/12/2023]
Abstract
Viral infections can modulate the widespread alternations of cellular splicing, favouring viral replication within the host cells by overcoming host immune responses. However, how SARS-CoV-2 induces host cell differential splicing and affects the landscape of transcript alternation in severe COVID-19 infection remains elusive. Understanding the differential splicing and transcript alternations in severe COVID-19 infection may improve our molecular insights into the SARS-CoV-2 pathogenesis. In this study, we analysed the publicly available blood and lung transcriptome data of severe COVID-19 patients, blood transcriptome data of recovered COVID-19 patients at 12-, 16- and 24-week postinfection and healthy controls. We identified a significant transcript isoform switching in the individual blood and lung RNA-seq data of severe COVID-19-infected patients and 25 common genes that alter their transcript isoform in both blood and lung samples. Altered transcripts show significant loss of the open reading frame, functional domains and switch from coding to noncoding transcript, impacting normal cellular functions. Furthermore, we identified the expression of several novel recurrent chimeric transcripts in the blood samples from severe COVID-19 patients. Moreover, the analysis of the isoform switching into blood samples from recovered COVID-19 patients highlights that there is no significant isoform switching in 16- and 24-week postinfection, and the levels of expressed chimeric transcripts are reduced. This finding emphasizes that SARS-CoV-2 severe infection induces widespread splicing in the host cells, which could help the virus alter the host immune responses and facilitate the viral replication within the host and the efficient translation of viral proteins.
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Affiliation(s)
- Sunanda Biswas Mukherjee
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Sumit Mukherjee
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.,National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Rajesh Detroja
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.,Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Milana Frenkel-Morgenstern
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
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14
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Ding J, Chen J, Yin X, Zhou J. Current understanding on long non-coding RNAs in immune response to COVID-19. Virus Res 2023; 323:198956. [PMID: 36208691 PMCID: PMC9532266 DOI: 10.1016/j.virusres.2022.198956] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/11/2022] [Accepted: 10/03/2022] [Indexed: 01/25/2023]
Abstract
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global pandemic threatening the lives and health of people worldwide. Currently, there are no effective therapies or available vaccines for COVID-19. The molecular mechanism causing acute immunopathological diseases in severe COVID-19 is being investigated. Long noncoding RNAs (lncRNAs) have been proven to be involved in many viral infections, such as hepatitis, influenza and acquired immune deficiency syndrome. Many lncRNAs present differential expression between normal tissue and virus-infected tissue. However, the role of lncRNAs in SARS-CoV-2 infection has not been fully elucidated. This study aimed to review the relationship between lncRNAs and viral infection, interferon and cytokine storms in COVID-19, hoping to provide novel insights into promising targets for COVID-19 treatment.
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Affiliation(s)
- Jing Ding
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Jing Chen
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
| | - Xude Yin
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
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15
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An H, Elvers KT, Gillespie JA, Jones K, Atack JR, Grubisha O, Shelkovnikova TA. A toolkit for the identification of NEAT1_2/paraspeckle modulators. Nucleic Acids Res 2022; 50:e119. [PMID: 36099417 PMCID: PMC9723620 DOI: 10.1093/nar/gkac771] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 07/26/2022] [Accepted: 08/29/2022] [Indexed: 12/24/2022] Open
Abstract
Paraspeckles are ribonucleoprotein granules assembled by NEAT1_2 lncRNA, an isoform of Nuclear Paraspeckle Assembly Transcript 1 (NEAT1). Dysregulation of NEAT1_2/paraspeckles has been linked to multiple human diseases making them an attractive drug target. However currently NEAT1_2/paraspeckle-focused translational research and drug discovery are hindered by a limited toolkit. To fill this gap, we developed and validated a set of tools for the identification of NEAT1_2 binders and modulators comprised of biochemical and cell-based assays. The NEAT1_2 triple helix stability element was utilized as the target in the biochemical assays, and the cellular assay ('ParaQuant') was based on high-content imaging of NEAT1_2 in fixed cells. As a proof of principle, these assays were used to screen a 1,200-compound FDA-approved drug library and a 170-compound kinase inhibitor library and to confirm the screening hits. The assays are simple to establish, use only commercially-available reagents and are scalable for higher throughput. In particular, ParaQuant is a cost-efficient assay suitable for any cells growing in adherent culture and amenable to multiplexing. Using ParaQuant, we identified dual PI3K/mTOR inhibitors as potent negative modulators of paraspeckles. The tools we describe herein should boost paraspeckle studies and help guide the search, validation and optimization of NEAT1_2/paraspeckle-targeted small molecules.
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Affiliation(s)
- Haiyan An
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK
| | - Karen T Elvers
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK
| | - Jason A Gillespie
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK
| | - Kimberley Jones
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK
| | - John R Atack
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK
| | - Olivera Grubisha
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK
| | - Tatyana A Shelkovnikova
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Cardiff CF10 3AT, UK.,Sheffield Institute for Translational Neuroscience, Department of Neuroscience, University of Sheffield, Sheffield S10 2HQ, UK
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16
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Liu J, Ji Q, Cheng F, Chen D, Geng T, Huang Y, Zhang J, He Y, Song T. The lncRNAs involved in regulating the RIG-I signaling pathway. Front Cell Infect Microbiol 2022; 12:1041682. [PMID: 36439216 PMCID: PMC9682092 DOI: 10.3389/fcimb.2022.1041682] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/21/2022] [Indexed: 09/23/2023] Open
Abstract
Understanding the targets and interactions of long non-coding RNAs (lncRNAs) related to the retinoic acid-inducible gene-I (RIG-I) signaling pathway is essential for developing interventions, which would enable directing the host inflammatory response regulation toward protective immunity. In the RIG-I signaling pathway, lncRNAs are involved in the important processes of ubiquitination, phosphorylation, and glycolysis, thus promoting the transport of the interferon regulatory factors 3 and 7 (IRF3 and IRF7) and the nuclear factor kappa B (NF-κB) into the nucleus, and activating recruitment of type I interferons (IFN-I) and inflammatory factors to the antiviral action site. In addition, the RIG-I signaling pathway has recently been reported to contain the targets of coronavirus disease-19 (COVID-19)-related lncRNAs. The molecules in the RIG-I signaling pathway are directly regulated by the lncRNA-microRNAs (miRNAs)-messenger RNA (mRNA) axis. Therefore, targeting this axis has become a novel strategy for the diagnosis and treatment of cancer. In this paper, the studies on the regulation of the RIG-I signaling pathway by lncRNAs during viral infections and cancer are comprehensively analyzed. The aim is to provide a solid foundation of information for conducting further detailed studies on lncRNAs and RIG-I in the future and also contribute to clinical drug development.
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Affiliation(s)
- Jing Liu
- Department of Immunology, Zunyi Medical University, Zunyi, China
| | - Qinglu Ji
- School of Pharmacy, Zunyi Medical University, Zunyi, China
| | - Feng Cheng
- Department of Immunology, Zunyi Medical University, Zunyi, China
| | - Dengwang Chen
- Department of Immunology, Zunyi Medical University, Zunyi, China
| | - Tingting Geng
- Department of Immunology, Zunyi Medical University, Zunyi, China
| | - Yueyue Huang
- Department of Immunology, Zunyi Medical University, Zunyi, China
| | - Jidong Zhang
- Department of Immunology, Zunyi Medical University, Zunyi, China
- Collaborative Innovation Center of Tissue Damage Repair and Regeneration Medicine, Zunyi Medical University, Zunyi, China
- Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, China
| | - Yuqi He
- School of Pharmacy, Zunyi Medical University, Zunyi, China
| | - Tao Song
- Department of Immunology, Zunyi Medical University, Zunyi, China
- Collaborative Innovation Center of Tissue Damage Repair and Regeneration Medicine, Zunyi Medical University, Zunyi, China
- Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, China
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17
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Are Antisense Long Non-Coding RNA Related to COVID-19? Biomedicines 2022; 10:biomedicines10112770. [PMID: 36359290 PMCID: PMC9687826 DOI: 10.3390/biomedicines10112770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/10/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
Fighting external pathogens relies on the tight regulation of the gene expression of the immune system. Ferroptosis, which is a distinct form of programmed cell death driven by iron, is involved in the enhancement of follicular helper T cell function during infection. The regulation of RNA is a key step in final gene expression. The present study aimed to identify the expression level of antisense lncRNAs (A2M-AS1, DBH-AS1, FLVCR1-DT, and NCBP2AS2-1) and FLVCR1 in COVID-19 patients and its relation to the severity of the disease. COVID-19 patients as well as age and gender-matched healthy controls were enrolled in this study. The expression level of the antisense lncRNAs was measured by RT-PCR. Results revealed the decreased expression of A2M-AS1 and FLVCR1 in COVID-19 patients. Additionally, they showed the increased expression of DBH-AS1, FLVCR1-DT, and NCBP2AS2. Both FLVCR1-DT and NCBP2AS2 showed a positive correlation with interleukin-6 (IL-6). DBH-AS1 and FLVCR1-DT had a significant association with mortality, complications, and mechanical ventilation. A significant negative correlation was found between A2M-AS1 and NCBP2AS2-1 and between FLVCR1 and FLVCR1-DT. The study confirmed that the expression level of the antisense lncRNAs was deregulated in COVID-19 patients and correlated with the severity of COVID-19, and that it may have possible roles in the pathogenesis of this disease.
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18
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PATRUCCO F, GAVELLI F, SOLIDORO P. Transcriptome analysis on bronchoalveolar lavage in COVID-19 patients. MINERVA BIOTECHNOLOGY AND BIOMOLECULAR RESEARCH 2022. [DOI: 10.23736/s2724-542x.22.02939-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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19
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Liu L, Zhang Y, Chen Y, Zhao Y, Shen J, Wu X, Li M, Chen M, Li X, Sun Y, Gu L, Li W, Wang F, Yao L, Zhang Z, Xiao Z, Du F. Therapeutic prospects of ceRNAs in COVID-19. Front Cell Infect Microbiol 2022; 12:998748. [PMID: 36204652 PMCID: PMC9530275 DOI: 10.3389/fcimb.2022.998748] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 08/29/2022] [Indexed: 01/08/2023] Open
Abstract
Since the end of 2019, COVID-19 caused by SARS-CoV-2 has spread worldwide, and the understanding of the new coronavirus is in a preliminary stage. Currently, immunotherapy, cell therapy, antiviral therapy, and Chinese herbal medicine have been applied in the clinical treatment of the new coronavirus; however, more efficient and safe drugs to control the progress of the new coronavirus are needed. Long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and circular RNAs (circRNAs) may provide new therapeutic targets for novel coronavirus treatments. The first aim of this paper is to review research progress on COVID-19 in the respiratory, immune, digestive, circulatory, urinary, reproductive, and nervous systems. The second aim is to review the body systems and potential therapeutic targets of lncRNAs, miRNAs, and circRNAs in patients with COVID-19. The current research on competing endogenous RNA (ceRNA) (lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA) in SARS-CoV-2 is summarized. Finally, we predict the possible therapeutic targets of four lncRNAs, MALAT1, NEAT1, TUG1, and GAS5, in COVID-19. Importantly, the role of PTEN gene in the ceRNA network predicted by lncRNA MALAT1 and lncRNA TUG1 may help in the discovery and clinical treatment of effective drugs for COVID-19.
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Affiliation(s)
- Lin Liu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Yao Zhang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Yu Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Yueshui Zhao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Jing Shen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Xu Wu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Mingxing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Meijuan Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Xiaobing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Yuhong Sun
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Li Gu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Wanping Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Fang Wang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Lei Yao
- Experiment Medicine Center, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhuo Zhang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- *Correspondence: Zhuo Zhang, ; Zhangang Xiao, ; Fukuan Du,
| | - Zhangang Xiao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
- Department of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, China
- *Correspondence: Zhuo Zhang, ; Zhangang Xiao, ; Fukuan Du,
| | - Fukuan Du
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou Science and Technology Bureau, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
- *Correspondence: Zhuo Zhang, ; Zhangang Xiao, ; Fukuan Du,
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20
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Jusic A, Stellos K, Ferreira L, Baker AH, Devaux Y. (Epi)transcriptomics in cardiovascular and neurological complications of COVID-19. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY PLUS 2022; 1:100013. [PMID: 36164464 PMCID: PMC9330360 DOI: 10.1016/j.jmccpl.2022.100013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 06/16/2023]
Abstract
Although systemic inflammation and pulmonary complications increase the mortality rate in COVID-19, a broad spectrum of cardiovascular and neurological complications can also contribute to significant morbidity and mortality. The molecular mechanisms underlying cardiovascular and neurological complications during and after SARS-CoV-2 infection are incompletely understood. Recently reported perturbations of the epitranscriptome of COVID-19 patients indicate that mechanisms including those derived from RNA modifications and non-coding RNAs may play a contributing role in the pathogenesis of COVID-19. In this review paper, we gathered recently published studies investigating (epi)transcriptomic fluctuations upon SARS-CoV-2 infection, focusing on the brain-heart axis since neurological and cardiovascular events and their sequelae are of utmost prevalence and importance in this disease.
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Affiliation(s)
- Amela Jusic
- Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
- Department of Biology, Faculty of Natural Sciences and Mathematics, University of Tuzla, 75000 Tuzla, Bosnia and Herzegovina
| | - Konstantinos Stellos
- Department of Cardiovascular Research, European Centre for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Centre for Cardiovascular Research (Deutsches Zentrum für Herz-Kreislauf-Forschung, DZHK), Heidelberg/Mannheim Partner Site, Mannheim, Germany
- Department of Cardiology, University Hospital Mannheim, Mannheim, Germany
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Lino Ferreira
- CNC-Center for Neurosciences and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Portugal
- Faculty of Medicine, University Coimbra, 3000-548 Coimbra, Portugal
| | - Andrew H. Baker
- Centre for Cardiovascular Science, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
- CARIM Institute, University of Maastricht, Universiteitssingel 50, 6200 MD Maastricht, the Netherlands
| | - Yvan Devaux
- Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
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21
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Devadoss D, Acharya A, Manevski M, Houserova D, Cioffi MD, Pandey K, Nair M, Chapagain P, Mirsaeidi M, Borchert GM, Byrareddy SN, Chand HS. Immunomodulatory LncRNA on antisense strand of ICAM-1 augments SARS-CoV-2 infection-associated airway mucoinflammatory phenotype. iScience 2022; 25:104685. [PMID: 35789750 PMCID: PMC9242679 DOI: 10.1016/j.isci.2022.104685] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/25/2022] [Accepted: 06/23/2022] [Indexed: 01/20/2023] Open
Abstract
Noncoding RNAs are important regulators of mucoinflammatory response, but little is known about the contribution of airway long noncoding RNAs (lncRNAs) in COVID-19. RNA-seq analysis showed a more than 4-fold increased expression of IL-6, ICAM-1, CXCL-8, and SCGB1A1 inflammatory factors; MUC5AC and MUC5B mucins; and SPDEF, FOXA3, and FOXJ1 transcription factors in COVID-19 patient nasal samples compared with uninfected controls. A lncRNA on antisense strand to ICAM-1 or LASI was induced 2-fold in COVID-19 patients, and its expression was directly correlated with viral loads. A SARS-CoV-2-infected 3D-airway model largely recapitulated these clinical findings. RNA microscopy and molecular modeling indicated a possible interaction between viral RNA and LASI lncRNA. Notably, blocking LASI lncRNA reduced the SARS-CoV-2 replication and suppressed MUC5AC mucin levels and associated inflammation, and select LASI-dependent miRNAs (e.g., let-7b-5p and miR-200a-5p) were implicated. Thus, LASI lncRNA represents an essential facilitator of SARS-CoV-2 infection and associated airway mucoinflammatory response.
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Affiliation(s)
- Dinesh Devadoss
- Department of Immunology and Nano-Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Arpan Acharya
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Marko Manevski
- Department of Immunology and Nano-Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Dominika Houserova
- Department of Pharmacology, University of South Alabama, Mobile, AL 36688, USA
| | - Michael D. Cioffi
- Department of Physics, Florida International University, Miami, FL 33199, USA
| | - Kabita Pandey
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Madhavan Nair
- Department of Immunology and Nano-Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Prem Chapagain
- Department of Physics, Florida International University, Miami, FL 33199, USA
- Biomolecular Sciences Institute, Florida International University, Miami, FL 33199, USA
| | - Mehdi Mirsaeidi
- Miller School of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami, FL 33136, USA
| | - Glen M. Borchert
- Department of Pharmacology, University of South Alabama, Mobile, AL 36688, USA
| | - Siddappa N. Byrareddy
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Hitendra S. Chand
- Department of Immunology and Nano-Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
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22
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Akbari M, Eshghyar F, Gholipour M, Eslami S, Hussen BM, Taheri M, Omrani MD, Ghafouri-Fard S. Expression analysis of mTOR-associated lncRNAs in multiple sclerosis. Metab Brain Dis 2022; 37:2061-2066. [PMID: 35622264 DOI: 10.1007/s11011-022-01010-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/16/2022] [Indexed: 10/18/2022]
Abstract
mTOR has been shown to be involved in the regulation of immune responses and differentiation of immune cells. This protein is a candidate molecule for unraveling the molecular mechanisms of autoimmune disorders such as multiple sclerosis (MS). We designed the current study to assess expression of MTOR, and four associated long non-coding RNAs (lncRNAs), namely SNHG1, SNHG3, SHNG5 and DANCR in the peripheral blood of patients with MS compared with healthy controls. Analysis of real-time PCR results has shown down-regulation of SNHG5 and DANCR in MS patients compared with controls. Sex of study participants had no significant effect on expression of either genes and the interaction of sex and disease on expression levels of all studied genes were insignificant. There was a significant negative correlation between expression levels of MTOR gene and disease duration. No other significant correlations were detected between genes expressions and clinical/demographic data. SNHG5 and DANCR transcript levels had AUC values of 0.88 and 0.68 in separation of patients with MS from healthy controls, respectively. Taken together, our study suggests participation of two mTOR-related lncRNAs, i.e. SNHG5 and DANCR in the pathophysiology of MS.
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Affiliation(s)
- Mohammadarian Akbari
- Phytochemistry Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Eshghyar
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Gholipour
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Solat Eslami
- Department of Medical Biotechnology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
- Dietary Supplements and Probiotic Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Bashdar Mahmud Hussen
- Department of Pharmacognosy, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq
- Center of Research and Strategic Studies, Lebanese French University, Erbil, Kurdistan Region, Iraq
| | - Mohammad Taheri
- Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Institute of Human Genetics, Jena University Hospital, Jena, Germany.
| | - Mir Davood Omrani
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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23
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New Imaging Modality of COVID-19 Pneumonia Developed on the Basis of Alzheimer’s Disease Research. Int J Mol Sci 2022; 23:ijms23158405. [PMID: 35955536 PMCID: PMC9369300 DOI: 10.3390/ijms23158405] [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: 06/14/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 11/30/2022] Open
Abstract
Viral pneumonia caused by highly infectious SARS-CoV-2 poses a higher risk to older people and those who have underlying health conditions, including Alzheimer’s disease. In this work we present newly designed tacrine-based radioconjugates with physicochemical and biological properties that are crucial for the potential application as diagnostic radiopharmaceuticals. A set of ten tacrine derivatives was synthesized, labelled with gallium-68 and fully characterized in the context of their physicochemical properties. Based on these results, the final two most promising radioconjugates, [68Ga]Ga-NODAGA-Bn-NH(CH2)9Tac and [68Ga]Ga-THP-NH(CH2)9Tac, were selected for biodistribution studies. The latter compound was proven to be a good inhibitor of cholinesterases with significant affinity toward the lungs, according to the biodistribution studies. On the basis of molecular modelling combined with in vitro studies, we unraveled which structural properties of the developed tacrine derivatives are crucial for high affinity toward acetylcholinesterase, whose increased levels in lung tissues in the course of coronavirus disease indicate the onset of pneumonia. The radiopharmaceutical [68Ga]Ga-THP-NH(CH2)9Tac was ultimately selected due to its increased accuracy and improved sensitivity in PET imaging of lung tissue with high levels of acetylcholinesterase, and it may become a novel potential diagnostic modality for the determination of lung perfusion, including in inflammation after COVID-19.
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24
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Abbasi-Kolli M, Sadri Nahand J, Kiani SJ, Khanaliha K, Khatami A, Taghizadieh M, Torkamani AR, Babakhaniyan K, Bokharaei-Salim F. The expression patterns of MALAT-1, NEAT-1, THRIL, and miR-155-5p in the acute to the post-acute phase of COVID-19 disease. Braz J Infect Dis 2022; 26:102354. [PMID: 35500644 PMCID: PMC9035361 DOI: 10.1016/j.bjid.2022.102354] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 12/11/2022] Open
Abstract
Introduction One of the hallmarks of COVID-19 is overwhelming inflammation, which plays a very important role in the pathogenesis of COVID-19. Thus, identification of inflammatory factors that interact with the SARS-CoV-2 can be very important to control and diagnose the severity of COVID-19. The aim of this study was to investigate the expression patterns of inflammation-related non-coding RNAs (ncRNAs) including MALAT-1, NEAT-1, THRIL, and miR-155-5p from the acute phase to the recovery phase of COVID-19. Methods Total RNA was extracted from Peripheral Blood Mononuclear Cell (PBMC) samples of 20 patients with acute COVID-19 infection and 20 healthy individuals and the expression levels of MALAT-1, NEAT-1, THRIL, and miR-155-5p were evaluated by real-time PCR assay. Besides, in order to monitor the expression pattern of selected ncRNAs from the acute phase to the recovery phase of COVID-19 disease, the levels of ncRNAs were re-measured 6‒7 weeks after the acute phase. Result The mean expression levels of MALAT-1, THRIL, and miR-155-5p were significantly increased in the acute phase of COVID-19 compared with a healthy control group. In addition, the expression levels of MALAT-1 and THRIL in the post-acute phase of COVID-19 were significantly lower than in the acute phase of COVID-19. According to the ROC curve analysis, these ncRNAs could be considered useful biomarkers for COVID-19 diagnosis and for discriminating between acute and post-acute phase of COVID-19. Discussion Inflammation-related ncRNAs (MALAT-1, THRIL, and miR-150-5p) can act as hopeful biomarkers for the monitoring and diagnosis of COVID-19 disease.
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Affiliation(s)
| | - Javid Sadri Nahand
- Tabriz University of Medical Sciences, Infectious and Tropical Diseases Research Center, Tabriz, Iran
| | - Seyed Jalal Kiani
- Iran University of Medical Sciences, School of Medicine, Department of Virology, Tehran, Iran
| | - Khadijeh Khanaliha
- University of Medical Sciences, Institute of Immunology and Infectious Diseases, Research Center of Pediatric Infectious Diseases, Tehran, Iran
| | - AliReza Khatami
- Iran University of Medical Sciences, School of Medicine, Department of Virology, Tehran, Iran
| | - Mohammad Taghizadieh
- Tabriz University of Medical Sciences, Center for Women's Health Research Zahra, School of Medicine, Department of Pathology, Tabriz, Iran
| | - Ali Rajabi Torkamani
- Tehran University of Medical Sciences, School of Medicine, Department of Clinical Biochemistry, Tehran, Iran
| | - Kimiya Babakhaniyan
- Iran University of Medical Sciences, School of Nursing and Midwifery, Department of Medical Surgical Nursing, Tehran, Iran
| | - Farah Bokharaei-Salim
- Iran University of Medical Sciences, School of Medicine, Department of Virology, Tehran, Iran.
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25
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Talotta R, Bahrami S, Laska MJ. Sequence complementarity between human noncoding RNAs and SARS-CoV-2 genes: What are the implications for human health? Biochim Biophys Acta Mol Basis Dis 2022; 1868:166291. [PMID: 34662705 PMCID: PMC8518135 DOI: 10.1016/j.bbadis.2021.166291] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 09/17/2021] [Accepted: 10/09/2021] [Indexed: 12/12/2022]
Abstract
Objectives To investigate in silico the presence of nucleotide sequence complementarity between the RNA genome of Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) and human non-coding (nc)RNA genes. Methods The FASTA sequence (NC_045512.2) of each of the 11 SARS-CoV-2 isolate Wuhan-Hu-1 genes was retrieved from NCBI.nlm.nih.gov/gene and the Ensembl.org library interrogated for any base-pair match with human ncRNA genes. SARS-CoV-2 gene-matched human ncRNAs were screened for functional activity using bioinformatic analysis. Finally, associations between identified ncRNAs and human diseases were searched in GWAS databases. Results A total of 252 matches were found between the nucleotide sequence of SARS-CoV-2 genes and human ncRNAs. With the exception of two small nuclear RNAs, all of them were long non-coding (lnc)RNAs expressed mainly in testis and central nervous system under physiological conditions. The percentage of alignment ranged from 91.30% to 100% with a mean nucleotide alignment length of 17.5 ± 2.4. Thirty-three (13.09%) of them contained predicted R-loop forming sequences, but none of these intersected the complementary sequences of SARS-CoV-2. However, in 31 cases matches fell on ncRNA regulatory sites, whose adjacent coding genes are mostly involved in cancer, immunological and neurological pathways. Similarly, several polymorphic variants of detected non-coding genes have been associated with neuropsychiatric and proliferative disorders. Conclusion This pivotal in silico study shows that SARS-CoV-2 genes have Watson-Crick nucleotide complementarity to human ncRNA sequences, potentially disrupting ncRNA epigenetic control of target genes. It remains to be elucidated whether this could result in the development of human disease in the long term.
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Affiliation(s)
- Rossella Talotta
- Department of Clinical and Experimental Medicine, Rheumatology Unit, AOU "Gaetano Martino", University of Messina, Messina, Italy.
| | - Shervin Bahrami
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
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26
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Hasankhani A, Bahrami A, Sheybani N, Aria B, Hemati B, Fatehi F, Ghaem Maghami Farahani H, Javanmard G, Rezaee M, Kastelic JP, Barkema HW. Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic. Front Immunol 2022; 12:789317. [PMID: 34975885 PMCID: PMC8714803 DOI: 10.3389/fimmu.2021.789317] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/26/2021] [Indexed: 01/08/2023] Open
Abstract
Background The recent emergence of COVID-19, rapid worldwide spread, and incomplete knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited development of therapeutic strategies. Our objective was to systematically investigate molecular regulatory mechanisms of COVID-19, using a combination of high throughput RNA-sequencing-based transcriptomics and systems biology approaches. Methods RNA-Seq data from peripheral blood mononuclear cells (PBMCs) of healthy persons, mild and severe 17 COVID-19 patients were analyzed to generate a gene expression matrix. Weighted gene co-expression network analysis (WGCNA) was used to identify co-expression modules in healthy samples as a reference set. For differential co-expression network analysis, module preservation and module-trait relationships approaches were used to identify key modules. Then, protein-protein interaction (PPI) networks, based on co-expressed hub genes, were constructed to identify hub genes/TFs with the highest information transfer (hub-high traffic genes) within candidate modules. Results Based on differential co-expression network analysis, connectivity patterns and network density, 72% (15 of 21) of modules identified in healthy samples were altered by SARS-CoV-2 infection. Therefore, SARS-CoV-2 caused systemic perturbations in host biological gene networks. In functional enrichment analysis, among 15 non-preserved modules and two significant highly-correlated modules (identified by MTRs), 9 modules were directly related to the host immune response and COVID-19 immunopathogenesis. Intriguingly, systemic investigation of SARS-CoV-2 infection identified signaling pathways and key genes/proteins associated with COVID-19's main hallmarks, e.g., cytokine storm, respiratory distress syndrome (ARDS), acute lung injury (ALI), lymphopenia, coagulation disorders, thrombosis, and pregnancy complications, as well as comorbidities associated with COVID-19, e.g., asthma, diabetic complications, cardiovascular diseases (CVDs), liver disorders and acute kidney injury (AKI). Topological analysis with betweenness centrality (BC) identified 290 hub-high traffic genes, central in both co-expression and PPI networks. We also identified several transcriptional regulatory factors, including NFKB1, HIF1A, AHR, and TP53, with important immunoregulatory roles in SARS-CoV-2 infection. Moreover, several hub-high traffic genes, including IL6, IL1B, IL10, TNF, SOCS1, SOCS3, ICAM1, PTEN, RHOA, GDI2, SUMO1, CASP1, IRAK3, HSPA5, ADRB2, PRF1, GZMB, OASL, CCL5, HSP90AA1, HSPD1, IFNG, MAPK1, RAB5A, and TNFRSF1A had the highest rates of information transfer in 9 candidate modules and central roles in COVID-19 immunopathogenesis. Conclusion This study provides comprehensive information on molecular mechanisms of SARS-CoV-2-host interactions and identifies several hub-high traffic genes as promising therapeutic targets for the COVID-19 pandemic.
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Affiliation(s)
- Aliakbar Hasankhani
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Abolfazl Bahrami
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.,Biomedical Center for Systems Biology Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Negin Sheybani
- Department of Animal and Poultry Science, College of Aburaihan, University of Tehran, Tehran, Iran
| | - Behzad Aria
- Department of Physical Education and Sports Science, School of Psychology and Educational Sciences, Yazd University, Yazd, Iran
| | - Behzad Hemati
- Biotechnology Research Center, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Farhang Fatehi
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | | | - Ghazaleh Javanmard
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Mahsa Rezaee
- Department of Medical Mycology, School of Medical Science, Tarbiat Modares University, Tehran, Iran
| | - John P Kastelic
- Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Herman W Barkema
- Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
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27
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Huang K, Wang C, Vagts C, Raguveer V, Finn PW, Perkins DL. Long non-coding RNAs (lncRNAs) NEAT1 and MALAT1 are differentially expressed in severe COVID-19 patients: An integrated single-cell analysis. PLoS One 2022; 17:e0261242. [PMID: 35007307 PMCID: PMC8746747 DOI: 10.1371/journal.pone.0261242] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/25/2021] [Indexed: 01/08/2023] Open
Abstract
Hyperactive and damaging inflammation is a hallmark of severe rather than mild Coronavirus disease 2019 (COVID-19). To uncover key inflammatory differentiators between severe and mild COVID-19, we applied an unbiased single-cell transcriptomic analysis. We integrated two single-cell RNA-seq datasets with COVID-19 patient samples, one that sequenced bronchoalveolar lavage (BAL) cells and one that sequenced peripheral blood mononuclear cells (PBMCs). The combined cell population was then analyzed with a focus on genes associated with disease severity. The immunomodulatory long non-coding RNAs (lncRNAs) NEAT1 and MALAT1 were highly differentially expressed between mild and severe patients in multiple cell types. Within those same cell types, the concurrent detection of other severity-associated genes involved in cellular stress response and apoptosis regulation suggests that the pro-inflammatory functions of these lncRNAs may foster cell stress and damage. Thus, NEAT1 and MALAT1 are potential components of immune dysregulation in COVID-19 that may provide targets for severity related diagnostic measures or therapy.
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Affiliation(s)
- Kai Huang
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Catherine Wang
- College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Christen Vagts
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Vanitha Raguveer
- College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - Patricia W. Finn
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States of America
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, Illinois, United States of America
| | - David L. Perkins
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States of America
- Division of Nephrology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America
- Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, United States of America
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28
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Cholinergic blockade of neuroinflammation – from tissue to RNA regulators. Neuronal Signal 2022; 6:NS20210035. [PMID: 35211331 PMCID: PMC8837817 DOI: 10.1042/ns20210035] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/06/2022] [Accepted: 01/06/2022] [Indexed: 11/17/2022] Open
Abstract
Inflammatory stimuli and consequent pro-inflammatory immune responses may facilitate neurodegeneration and threaten survival following pathogen infection or trauma, but potential controllers preventing these risks are incompletely understood. Here, we argue that small RNA regulators of acetylcholine (ACh) signaling, including microRNAs (miRs) and transfer RNA fragments (tRFs) may tilt the balance between innate and adaptive immunity, avoid chronic inflammation and prevent the neuroinflammation-mediated exacerbation of many neurological diseases. While the restrictive permeability of the blood–brain barrier (BBB) protects the brain from peripheral immune events, this barrier can be disrupted by inflammation and is weakened with age. The consequently dysregulated balance between pro- and anti-inflammatory processes may modify the immune activities of brain microglia, astrocytes, perivascular macrophages, oligodendrocytes and dendritic cells, leading to neuronal damage. Notably, the vagus nerve mediates the peripheral cholinergic anti-inflammatory reflex and underlines the consistent control of body–brain inflammation by pro-inflammatory cytokines, which affect cholinergic functions; therefore, the disruption of this reflex can exacerbate cognitive impairments such as attention deficits and delirium. RNA regulators can contribute to re-balancing the cholinergic network and avoiding its chronic deterioration, and their activities may differ between men and women and/or wear off with age. This can lead to hypersensitivity of aged patients to inflammation and higher risks of neuroinflammation-driven cholinergic impairments such as delirium and dementia following COVID-19 infection. The age- and sex-driven differences in post-transcriptional RNA regulators of cholinergic elements may hence indicate new personalized therapeutic options for neuroinflammatory diseases.
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29
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Morrison TA, Hudson WH, Chisolm DA, Kanno Y, Shih HY, Ahmed R, Henao-Mejia J, Hafner M, O'Shea JJ. Evolving Views of Long Noncoding RNAs and Epigenomic Control of Lymphocyte State and Memory. Cold Spring Harb Perspect Biol 2022; 14:a037952. [PMID: 34001528 PMCID: PMC8725624 DOI: 10.1101/cshperspect.a037952] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Not simply an attribute of the adaptive immune system, immunological memory can be viewed on multiple levels. Accordingly, the molecular basis of memory comprises multiple mechanisms. The advent of new sequencing technologies has greatly enhanced the understanding of gene regulation and lymphocyte specification, and improved measurement of chromatin states affords new insights into the epigenomic and transcriptomic programs that underlie memory. Beyond canonical genes, the involvement of long noncoding RNAs (lncRNAs) is becoming increasingly apparent, and it appears that there are more than two to three times as many lncRNAs as protein-coding genes. lncRNAs can directly interact with DNA, RNA, and proteins, and a single lncRNA can contain multiple modular domains and thus interact with different classes of molecules. Yet, most lncRNAs have not been tested for function, and even fewer knockout mice have been generated. It is therefore timely to consider new potential mechanisms that may contribute to immune memory.
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Affiliation(s)
- Tasha A Morrison
- Lymphocyte Cell Biology Section, Molecular Immunology and Inflammation Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - William H Hudson
- Emory Vaccine Center and Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, Georgia 30322, USA
| | - Danielle A Chisolm
- Lymphocyte Cell Biology Section, Molecular Immunology and Inflammation Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Yuka Kanno
- Lymphocyte Cell Biology Section, Molecular Immunology and Inflammation Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Han-Yu Shih
- Neuro-Immune Regulome Unit, National Eye Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Rafi Ahmed
- Emory Vaccine Center and Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, Georgia 30322, USA
| | - Jorge Henao-Mejia
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Markus Hafner
- Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - John J O'Shea
- Lymphocyte Cell Biology Section, Molecular Immunology and Inflammation Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
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30
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ACE2 and Innate Immunity in the Regulation of SARS-CoV-2-Induced Acute Lung Injury: A Review. Int J Mol Sci 2021; 22:ijms222111483. [PMID: 34768911 PMCID: PMC8583933 DOI: 10.3390/ijms222111483] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/21/2021] [Accepted: 10/21/2021] [Indexed: 01/08/2023] Open
Abstract
Despite the protracted battle against coronavirus acute respiratory infection (COVID-19) and the rapid evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), no specific and effective drugs have to date been reported. Angiotensin-converting enzyme 2 (ACE2) is a zinc metalloproteinase and a critical modulator of the renin-angiotensin system (RAS). In addition, ACE2 has anti-inflammatory and antifibrosis functions. ACE has become widely known in the past decade as it has been identified as the primary receptor for SARS-CoV and SARS-CoV-2, being closely associated with their infection. SARS-CoV-2 primarily targets the lung, which induces a cytokine storm by infecting alveolar cells, resulting in tissue damage and eventually severe acute respiratory syndrome. In the lung, innate immunity acts as a critical line of defense against pathogens, including SARS-CoV-2. This review aims to summarize the regulation of ACE2, and lung host cells resist SARS-CoV-2 invasion by activating innate immunity response. Finally, we discuss ACE2 as a therapeutic target, providing reference and enlightenment for the clinical treatment of COVID-19.
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Zhang XY, Chen ZC, Li N, Wang ZH, Guo YL, Tian CJ, Cheng DJ, Tang XY, Zhang LX. Exosomal transfer of activated neutrophil-derived lncRNA CRNDE promotes proliferation and migration of airway smooth muscle cells in asthma. Hum Mol Genet 2021; 31:638-650. [PMID: 34590683 DOI: 10.1093/hmg/ddab283] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/06/2021] [Accepted: 09/20/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Activated neutrophil-derived exosomes reportedly contribute to the proliferation of airway smooth muscle cells (ASMCs), thereby aggravating the airway wall remodeling during asthma; however, the specific mechanism remains unclear. METHODS Lipopolysaccharide (LPS)-EXO and si-CRNDE-EXO were extracted from the media of human neutrophils treated with LPS and LPS + si-CRNDE (a siRNA targets long non-coding RNA CRNDE), respectively. Human ASMCs were co-cultured with LPS-EXO or si-CRNDE-EXO, and cell viability, proliferation, and migration were measured. The interplay of CRNDE, inhibitor of nuclear factor kappa B kinase subunit beta (IKKβ), and nuclear receptor subfamily 2 group C member 2 (TAK1) was explored using RNA immunoprecipitation (RIP) and Co-IP assays. A mouse model of asthma was induced using ovalbumin. RESULTS CRNDE was upregulated in LPS-EXO and successfully transferred from LPS-treated neutrophils to ASMCs through exosome. Mechanically, CRNDE loaded in LPS-EXO reinforced TAK1-mediated IKKβ phosphorylation, thereby activating the nuclear factor kappa B (NF-κB) pathway. Functionally, silencing CRNDE in LPS-EXO, an IKKβ inhibitor, and an NF-κB inhibitor all removed the upregulation of cell viability, proliferation, and migration induced by LPS-EXO in ASMCs. In the end, the in vivo experiment demonstrated that CRNDE knockdown in neutrophils effectively reduced the thickness of bronchial smooth muscle in a mouse model for asthma. CONCLUSION Activated neutrophils-derived CRNDE was transferred to ASMCs through exosomes and activated the NF-κB pathway by enhancing IKKβ phosphorylation. The latter promoted the proliferation and migration of ASMCs and then contributed to airway remodeling in asthma.
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Affiliation(s)
- Xiao-Yu Zhang
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Zhuo-Chang Chen
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Nan Li
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Zhi-Hua Wang
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Ya-Li Guo
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Cui-Jie Tian
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Dong-Jun Cheng
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Xue-Yi Tang
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
| | - Luo-Xian Zhang
- Department of Respiratory Disease and Intensive Care, Henan Provincial People's Hospital.,Department of Respiratory Disease and Intensive Care, People's Hospital Affiliated to Zhengzhou University
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Yang Q, Lin F, Wang Y, Zeng M, Luo M. Long Noncoding RNAs as Emerging Regulators of COVID-19. Front Immunol 2021; 12:700184. [PMID: 34408749 PMCID: PMC8366413 DOI: 10.3389/fimmu.2021.700184] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 07/15/2021] [Indexed: 01/08/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19), which has high incidence rates with rapid rate of transmission, is a pandemic that spread across the world, resulting in more than 3,000,000 deaths globally. Currently, several drugs have been used for the clinical treatment of COVID-19, such as antivirals (radecivir, baritinib), monoclonal antibodies (tocilizumab), and glucocorticoids (dexamethasone). Accumulating evidence indicates that long noncoding RNAs (lncRNAs) are essential regulators of virus infections and antiviral immune responses including biological processes that are involved in the regulation of COVID-19 and subsequent disease states. Upon viral infections, cellular lncRNAs directly regulate viral genes and influence viral replication and pathology through virus-mediated changes in the host transcriptome. Additionally, several host lncRNAs could help the occurrence of viral immune escape by inhibiting type I interferons (IFN-1), while others could up-regulate IFN-1 production to play an antiviral role. Consequently, understanding the expression and function of lncRNAs during severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection will provide insights into the development of lncRNA-based methods. In this review, we summarized the current findings of lncRNAs in the regulation of the strong inflammatory response, immune dysfunction and thrombosis induced by SARS-CoV-2 infection, discussed the underlying mechanisms, and highlighted the therapeutic challenges of COVID-19 treatment and its future research directions.
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Affiliation(s)
- Qinzhi Yang
- Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease of Sichuan Province, Drug Discovery Research Center, Southwest Medical University, Luzhou, China
- Laboratory for Cardiovascular Pharmacology of Department of Pharmacology, The School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Fang Lin
- Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease of Sichuan Province, Drug Discovery Research Center, Southwest Medical University, Luzhou, China
- Laboratory for Cardiovascular Pharmacology of Department of Pharmacology, The School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Yanan Wang
- Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease of Sichuan Province, Drug Discovery Research Center, Southwest Medical University, Luzhou, China
- Laboratory for Cardiovascular Pharmacology of Department of Pharmacology, The School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Min Zeng
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Mao Luo
- Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease of Sichuan Province, Drug Discovery Research Center, Southwest Medical University, Luzhou, China
- Laboratory for Cardiovascular Pharmacology of Department of Pharmacology, The School of Pharmacy, Southwest Medical University, Luzhou, China
- Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China
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Badimon L, Robinson EL, Jusic A, Carpusca I, deWindt LJ, Emanueli C, Ferdinandy P, Gu W, Gyöngyösi M, Hackl M, Karaduzovic-Hadziabdic K, Lustrek M, Martelli F, Nham E, Potočnjak I, Satagopam V, Schneider R, Thum T, Devaux Y. Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129. Cardiovasc Res 2021; 117:1823-1840. [PMID: 33839767 PMCID: PMC8083253 DOI: 10.1093/cvr/cvab094] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 04/08/2021] [Indexed: 02/06/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been as unprecedented as unexpected, affecting more than 105 million people worldwide as of 8 February 2020 and causing more than 2.3 million deaths according to the World Health Organization (WHO). Not only affecting the lungs but also provoking acute respiratory distress, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is able to infect multiple cell types including cardiac and vascular cells. Hence a significant proportion of infected patients develop cardiac events, such as arrhythmias and heart failure. Patients with cardiovascular comorbidities are at highest risk of cardiac death. To face the pandemic and limit its burden, health authorities have launched several fast-track calls for research projects aiming to develop rapid strategies to combat the disease, as well as longer-term projects to prepare for the future. Biomarkers have the possibility to aid in clinical decision-making and tailoring healthcare in order to improve patient quality of life. The biomarker potential of circulating RNAs has been recognized in several disease conditions, including cardiovascular disease. RNA biomarkers may be useful in the current COVID-19 situation. The discovery, validation, and marketing of novel biomarkers, including RNA biomarkers, require multi-centre studies by large and interdisciplinary collaborative networks, involving both the academia and the industry. Here, members of the EU-CardioRNA COST Action CA17129 summarize the current knowledge about the strain that COVID-19 places on the cardiovascular system and discuss how RNA biomarkers can aid to limit this burden. They present the benefits and challenges of the discovery of novel RNA biomarkers, the need for networking efforts, and the added value of artificial intelligence to achieve reliable advances.
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Affiliation(s)
- Lina Badimon
- Cardiovascular Science Program-ICCC, IR-Hospital de la Santa Creu i Santa Pau, Ciber CV, Autonomous University of Barcelona, Barcelona, Spain
| | - Emma L Robinson
- Department of Cardiology, School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- Division of Cardiology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Amela Jusic
- Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Edison, L-1445 Strassen, Luxembourg
| | - Irina Carpusca
- Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Edison, L-1445 Strassen, Luxembourg
| | - Leon J deWindt
- Department of Molecular Genetics, Faculty of Science and Engineering, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Costanza Emanueli
- National Heart & Lung Institute, Faculty of Medicine, Imperial College London, London, UK
| | - Péter Ferdinandy
- Cardiometabolic Research Group and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest,Hungary
- Pharmahungary Group, Szeged, Hungary
| | - Wei Gu
- Luxembourg Center for Systems Biomedicine, University of Luxembourg, Esch sur Alzette, Luxembourg
| | - Mariann Gyöngyösi
- Department of Cardiology, Medical University of Vienna, Vienna, Austria
| | | | | | - Mitja Lustrek
- Department of Intelligent Systems, Jozef Stefan Institute, Ljubljana, Slovenia
| | - Fabio Martelli
- Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Milan 20097, Italy
| | - Eric Nham
- University of Zagreb School of Medicine, Zagreb, Croatia
| | - Ines Potočnjak
- Institute for Clinical Medical Research and Education, University Hospital Centre Sisters of Charity, Zagreb, Croatia
| | - Venkata Satagopam
- Luxembourg Center for Systems Biomedicine, University of Luxembourg, Esch sur Alzette, Luxembourg
| | - Reinhard Schneider
- Luxembourg Center for Systems Biomedicine, University of Luxembourg, Esch sur Alzette, Luxembourg
| | - Thomas Thum
- Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover,Germany
- REBIRTH Center for Translational Regenerative Medicine, Hannover Medical School, Hannover, Germany
| | - Yvan Devaux
- Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Edison, L-1445 Strassen, Luxembourg
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Zhou H, Huang L, Liang L, Chen L, Zou C, Li Z, Li R, Jian C, Zou D. Identification of an miRNA Regulatory Network and Candidate Markers for Ischemic Stroke Related to Diabetes. Int J Gen Med 2021; 14:3213-3223. [PMID: 34262334 PMCID: PMC8274709 DOI: 10.2147/ijgm.s319503] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 06/29/2021] [Indexed: 12/11/2022] Open
Abstract
Purpose Type 2 diabetes mellitus (T2DM) increases the risk of ischemic stroke and poor prognosis. This study aimed to identify molecular mechanisms that are dysregulated in T2DM-associated ischemic stroke and candidate genes that might serve as biomarkers. Methods The top 25% variance genes in the GSE21321 and GSE22255 datasets were analyzed for coexpression. The differentially expressed mRNAs (DEmRs) between patients with T2DM or ischemic stroke and controls were analyzed. Then, the union of overlapping coexpressed genes and overlapping DEmRs was analyzed. The miRNAs differentially expressed in T2DM-associated ischemic stroke were also analyzed. CIBERSORT was used to evaluate the levels of infiltration by immune cells in T2DM-associated stroke. Results Thirteen coexpression modules were identified in T2DM and 10 in ischemic stroke, and 594 module genes were shared between the two conditions. A total of 4452 mRNAs differentially expressed between T2DM patients and controls were identified, as were 2390 mRNAs differentially expressed between ischemic stroke and controls. The 771 union genes were enriched mainly in immune-related biological functions and signaling pathways. UBE2N, TGFB3, EXOSC1, and VIM were identified as candidate markers. In addition, we identified miR-576-3p as having the most regulatory roles in both T2DM and ischemic stroke. Mast cell activation was significantly down-regulated in T2DM but up-regulated in ischemic stroke. Conclusion These findings provide numerous testable hypotheses about the pathways underlying T2DM-associated ischemic stroke, which may help identify therapeutic targets.
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Affiliation(s)
- Hui Zhou
- Department of Neurology, The People's Hospital of Guiping, Guiping, Guangxi, 537200, People's Republic of China
| | - Liujia Huang
- Department of Rehabilitation Medicine, The People's Hospital of Guiping, Guiping, Guangxi, 537200, People's Republic of China
| | - Lucong Liang
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China
| | - Liechun Chen
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China
| | - Chun Zou
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China
| | - Zhenhua Li
- Department of Emergency Medicine, The First People's Hospital of Nanning, Nanning, 530022, People's Republic of China
| | - Rongjie Li
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China
| | - Chongdong Jian
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
| | - Donghua Zou
- Department of Neurology, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530022, People's Republic of China
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Devadoss D, Acharya A, Manevski M, Pandey K, Borchert GM, Nair M, Mirsaeidi M, Byrareddy SN, Chand HS. Distinct Mucoinflammatory Phenotype and the Immunomodulatory Long Noncoding Transcripts Associated with SARS-CoV-2 Airway Infection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.05.13.21257152. [PMID: 34031668 PMCID: PMC8142670 DOI: 10.1101/2021.05.13.21257152] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Respiratory epithelial cells are the primary target for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We investigated the 3D human airway tissue model to evaluate innate epithelial cell responses to SARS-CoV-2 infection. A SARS-CoV-2 clinical isolate productively infected the 3D-airway model with a time-dependent increase in viral load (VL) and concurrent upregulation of airway immunomodulatory factors ( IL-6, ICAM-1 , and SCGB1A1 ) and respiratory mucins ( MUC5AC, MUC5B, MUC2 , and MUC4) , and differential modulation of select long noncoding RNAs (lncRNAs i.e., LASI, TOSL, NEAT1 , and MALAT1 ). Next, we examined these immunomodulators in the COVID-19 patient nasopharyngeal swab samples collected from subjects with high- or low-VLs (∼100-fold difference). As compared to low-VL, high-VL patients had prominent mucoinflammatory signature with elevated expression of IL-6, ICAM-1, SCGB1A1, SPDEF, MUC5AC, MUC5B , and MUC4 . Interestingly, LASI, TOSL , and NEAT1 lncRNA expressions were also markedly elevated in high-VL patients with no change in MALAT1 expression. In addition, dual-staining of LASI and SARS-CoV-2 nucleocapsid N1 RNA showed predominantly nuclear/perinuclear localization at 24 hpi in 3D-airway model as well as in high-VL COVID-19 patient nasopharyngeal cells, which exhibited high MUC5AC immunopositivity. Collectively, these findings suggest SARS-CoV-2 induced lncRNAs may play a role in acute mucoinflammatory response observed in symptomatic COVID-19 patients.
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