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All Studies   Meta Analysis    Recent:   

Analysis of blood and nasal epithelial transcriptomes to identify mechanisms associated with control of SARS-CoV-2 viral load in the upper respiratory tract

Marjaneh et al., Journal of Infection, doi:10.1016/j.jinf.2023.10.009
Oct 2023  
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Blood and nasal epithelial transcriptomic analysis suggesting potential benefits of several treatments including:
Vitamin E: transcriptomic analysis revealed that the AIPL1 module, which contains genes connected to vitamin E (α-tocopherol), negatively correlated with SARS-CoV-2 viral load. Vitamin E has antioxidant properties and is known to enhance immune cell functions like natural killer cell activity. The enrichment of the α-tocopherol degradation pathway in this module suggests vitamin E may aid viral control.
NSAIDs: transcriptomic analysis revealed that increased expression of inflammation-related genes, including those involved in prostanoid synthesis, was associated with higher SARS-CoV-2 viral loads. NSAIDs including ibuprofen, indomethacin, and aspirin can inhibit prostanoid production by blocking cyclooxygenase enzymes. By suppressing these inflammatory prostanoids that may enhance viral replication, NSAID treatment could potentially restrict SARS-CoV-2 viral load in the upper respiratory tract.
Study covers indomethacin, ibuprofen, and aspirin.
Marjaneh et al., 18 Oct 2023, peer-reviewed, 21 authors. Contact: m.moradi@imperial.ac.uk, a.cunnington@imperial.ac.uk.
This PaperIndomethacinAll
Analysis of blood and nasal epithelial transcriptomes to identify mechanisms associated with control of SARS-CoV-2 viral load in the upper respiratory tract
Mahdi Moradi Marjaneh, Joseph D Challenger, Antonio Salas, Alberto Gómez-Carballa, Abilash Sivananthan, Irene Rivero-Calle, Gema Barbeito-Castiñeiras, Cher Y Foo, Yue Wu, Felicity Liew, Heather R Jackson, Dominic Habgood-Coote, Giselle D’souza, Samuel J Nichols, Victoria J Wright, Michael Levin, Myrsini Kaforou, Ryan S Thwaites, Lucy C Okell, Federico Martinón-Torres, Aubrey J Cunnington
Journal of Infection, doi:10.1016/j.jinf.2023.10.009
Objectives: The amount of SARS-CoV-2 detected in the upper respiratory tract (URT viral load) is a key driver of transmission of infection. Current evidence suggests that mechanisms constraining URT viral load are different from those controlling lower respiratory tract viral J o u r n a l P r e -p r o o f mechanisms, including likely roles for NK cells, granulysin, prostanoids and interferon alpha-14. Inhibition of prostanoid production, and administration of interferon alpha-14 may be attractive transmission-blocking interventions.
accession E-MTAB-12791. NanoString nCounter data and corresponding metadata are available at https://github.com/MahdiMoradiMarjaneh/COVID19_viral_load. Codes used in the analyses can be accessed on the same GitHub repository. Competing interests The authors declare that they have no competing interests. -0 .69 1 How many days after symptom onset the viral load was measured. 2 Cycle threshold value 3 Relative to the days of illness at the time of viral load measurement (see Figure 2D ) * These two samples are from the same subject The number of genes involved in each module. 2 Genes with the absolute value of module membership (the correlation between the module eigengene and gene expression values) > 0.9. Genes with negative module membership are marked with an asterisk. 3 No genes had module membership higher than 0.9 or lower than -0.9 Authors' contributions Conceptualization Declarations of interest: None. Graphical
References
Ahn, Prince, Participation of the IL-10RB Related Cytokines, IL-22 and IFN-lambda in Defense of the Airway Mucosal Barrier, Front Cell Infect Microbiol
Albayrak, Cano, Karimi, Dogahe, Van Praet et al., Distinct Expression Patterns of Interleukin-22 Receptor 1 on Blood Hematopoietic Cells in SARS-CoV-2 Infection, Front Immunol
Altman, Rinchai, Baldwin, Toufiq, Whalen et al., Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data, Nat Commun
Andrews, FastQC: A Quality Control Tool for High Throughput Sequence Data
Arons, Hatfield, Reddy, Kimball, James et al., Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility, N Engl J Med
Ball, -2 replication: Medical Research Scotland
Bezemer, Garssen, TLR9 and COVID-19: A Multidisciplinary Theory of a Multifaceted Therapeutic Target, Front Pharmacol
Blanco-Melo, Nilsson-Payant, Liu, Uhl, Hoagland et al., Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19, Cell
Bolger, Lohse, Usadel, Trimmomatic: a flexible trimmer for Illumina sequence data, Bioinformatics
Broggi, Ghosh, Sposito, Spreafico, Balzarini et al., Type III interferons disrupt the lung epithelial barrier upon viral recognition, Science
Cevik, Tate, Lloyd, Maraolo, Schafers et al., SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis, Lancet Microbe
Challenger, Foo, Wu, Yan, Marjaneh et al., upper respiratory viral load dynamics of SARS-CoV-2, BMC Med
Cheemarla, Watkins, Mihaylova, Wang, Zhao et al., Dynamic innate immune response determines susceptibility to SARS-CoV-2 infection and early replication kinetics, J Exp Med
Chen, Bobrovitz, Premji, Koopmans, Fisman et al., SARS-CoV-2 shedding dynamics across the respiratory tract, sex, and disease severity for adult and pediatric COVID-19, Elife
Chikina, Zaslavsky, Sealfon, CellCODE: a robust latent variable approach to J o u r n a l P r e -p r o o f 29 differential expression analysis for heterogeneous cell populations, Bioinformatics
Combes, Courau, Kuhn, Hu, Ray et al., Global absence and targeting of protective immune states in severe COVID-19, Nature
Cornelissen, Understanding the drivers of transmission of SARS-CoV-2, Lancet Infect Dis
Diamond, Kanneganti, Innate immunity: the first line of defense against SARS-CoV-2, Nat Immunol
Dobin, Davis, Schlesinger, Drenkow, Zaleski et al., STAR: ultrafast universal RNA-seq aligner, Bioinformatics
Dotiwala, Lieberman, Granulysin: killer lymphocyte safeguard against microbes, Curr Opin Immunol
Eijmael, Janssens, Le Cessie, Van Dooren, Koster et al., Coronavirus disease 2019 and peripheral blood eosinophil counts: a retrospective study, Infection
Ercan, Schrottmaier, Pirabe, Schmuckenschlager, Pereyra et al., Platelet Phenotype Analysis of COVID-19 Patients Reveals Progressive Changes in the Activation of Integrin alphaIIbbeta3, F13A1, the SARS-CoV-2 Target EIF4A1 and Annexin A5, Front Cardiovasc Med
Georgiadou, Lee, Walther, Van Beek, Fitriani et al., Modelling pathogen load dynamics to elucidate mechanistic determinants of host-Plasmodium falciparum interactions, Nat Microbiol
Gomez-Carballa, Rivero-Calle, Pardo-Seco, Gomez-Rial, Rivero-Velasco et al., A multi-tissue study of immune gene expression profiling highlights the key role of the nasal epithelium in COVID-19 severity, Environ Res
Han, Meydani, Impact of vitamin E on immune function and its clinical implications, Expert Rev Clin Immunol
Hartwell, Hopfield, Leibler, Murray, From molecular to modular cell biology, Nature
Hoffmann, Schneider, Rice, Interferons and viruses: an evolutionary arms race of molecular interactions, Trends Immunol
Islam, Khan, Ahmed, Hossain, Kabir et al., Transcriptome of nasopharyngeal samples from COVID-19 patients and a comparative analysis with other SARS-CoV-2 infection models reveal disparate host responses against SARS-CoV-2, J Transl Med
Jackson, Rivero Calle, Broderick, Habgood-Coote, Souza et al., Characterisation of the blood RNA host response underpinning severity in COVID-19 patients, Sci Rep
Klooster, Bol-Schoenmakers, Van Summeren, Van Vliet, De Haan et al., Enterocytes, fibroblasts and myeloid cells synergize in anti-bacterial and antiviral pathways with IL22 as the central cytokine, Commun Biol
Knight, Ho, Pius, Buchan, Carson et al., Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score, BMJ
Kozlov, Could a nose spray a day keep COVID away?, Nature
Kramer, Green, Pollard, Tugendreich, Causal analysis approaches in Ingenuity Pathway Analysis, Bioinformatics
Langfelder, Horvath, WGCNA: an R package for weighted correlation network analysis, BMC Bioinformatics
Lee, Georgiadou, Walther, Nwakanma, Stewart et al., Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria, Sci Transl Med
Lewis, Meydani, Wu, Regulatory role of vitamin E in the immune system and inflammation, IUBMB Life
Li, Dewey, RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome, BMC Bioinformatics
Love, Huber, Anders, Moderated estimation of fold change and dispersion for RNAseq data with DESeq2, Genome Biol
Lucas, Wong, Klein, Castro, Silva et al., Longitudinal analyses reveal immunological misfiring in severe COVID-19, Nature
Major, Crotta, Llorian, Mccabe, Gad et al., Type I and III interferons disrupt lung epithelial repair during recovery from viral infection, Science
Marc, Kerioui, Blanquart, Bertrand, Mitja et al., Quantifying the relationship between SARS-CoV-2 viral load and infectiousness, Elife
Mcclain, Constantine, Henao, Liu, Tsalik et al., Dysregulated transcriptional responses to SARS-CoV-2 in the periphery, Nat Commun
Nain, Barman, Sheam, Syed, Samad et al., Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions, Brief Bioinform
Pacl, Tipper, Sevalkar, Crouse, Crowder et al., Water-soluble tocopherol derivatives inhibit SARS-CoV-2 RNA-dependent RNA polymerase, bioRxiv
Pairo-Castineira, Clohisey, Klaric, Bretherick, Rawlik et al., Genetic mechanisms of critical illness in COVID-19, Nature
Patel, Richardson, Schulze, Kahle, Galjart et al., Differential roles of microtubule assembly and sliding in proplatelet formation by megakaryocytes, Blood
Pervolaraki, Talemi, Albrecht, Bormann, Bamford et al., Differential induction of interferon stimulated genes between type I and type III interferons is independent of interferon receptor abundance, PLoS Pathog
Peterson, Kennedy, Brigleb, Taylor, Urbanek et al., Disruption of Type III Interferon (IFN) Genes Ifnl2 and Ifnl3 Recapitulates Loss of the Type III IFN Receptor in the Mucosal Antiviral Response, J Virol
Puhach, Meyer, Eckerle, SARS-CoV-2 viral load and shedding kinetics, Nat Rev Microbiol
Ragab, Salah Eldin, Taeimah, Khattab, Salem, The COVID-19 Cytokine Storm; What We Know So Far, Front Immunol
Rajagopala, Strickland, Pakala, Kimura, Shilts et al., Mucosal Gene Expression in Response to SARS-CoV-2 Is Associated with Viral Load, J Virol
Ritchie, Phipson, Wu, Hu, Law et al., limma powers differential expression analyses for RNA-sequencing and microarray studies, Nucleic Acids Res
Robinson, Mccarthy, Smyth, edgeR: a Bioconductor package for differential expression analysis of digital gene expression data, Bioinformatics
Schmid, Brune, Prostanoids and Resolution of Inflammation -Beyond the Lipid-Mediator Class Switch, Front Immunol
Schuhenn, Meister, Todt, Bracht, Schork et al., Differential interferonalpha subtype induced immune signatures are associated with suppression of SARS-CoV-2 infection, Proc Natl Acad Sci U S A
Shim, Kim, Tenson, Min, Kainov, Influenza Virus Infection, Interferon Response, Viral Counter-Response, and Apoptosis, Viruses
Singanayagam, Patel, Charlett, Bernal, Saliba et al., Duration of infectiousness and correlation with RT-PCR cycle threshold values in cases of COVID-19, England, January to, Euro Surveill
Sposito, Broggi, Pandolfi, Crotta, Clementi et al., The interferon landscape along the respiratory tract impacts the severity of COVID-19, Cell
Sun, Wang, Yuan, Wu, Sui et al., Regulation of Early Host Immune Responses Shapes the Pathogenicity of Avian Influenza A Virus, Front Microbiol
Wang, Mao, Klein, Dai, Huck et al., Diverse functional autoantibodies in patients with COVID-19, Nature
Who, Clinical management of COVID-19, interim guidance
Witkowski, Tizian, Ferreira-Gomes, Niemeyer, Jones et al., Untimely TGFbeta responses in COVID-19 limit antiviral functions of NK cells, Nature
Wong, Zheng, Wilhelmsen, Li, Ortiz et al., Eicosanoid signalling blockade protects middle-aged mice from severe COVID-19, Nature
Ye, Wang, Mao, The pathogenesis and treatment of the `Cytokine Storm' in COVID-19, J Infect
Yu, Peterson, Baran, Bhattacharya, Wylie et al., Host Gene Expression in Nose and Blood for the Diagnosis of Viral Respiratory Infection, J Infect Dis
Zhang, Wang, Xing, Xu, Zhang et al., Single-cell landscape of immunological responses in patients with COVID-19, Nat Immunol
Zhou, Chen, Shannon, Wei, Xiang et al., Interferon-alpha2b Treatment for COVID-19, Front Immunol
Ziegler, Miao, Owings, Navia, Tang et al., Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19, Cell
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