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de Antonellis P, Ferrucci V, Miceli M, Bibbo F, Asadzadeh F, Gorini F, Mattivi A, Boccia A, Russo R, Andolfo I, Lasorsa VA, Cantalupo S, Fusco G, Viscardi M, Brandi S, Cerino P, Monaco V, Choi DR, Cheong JH, Iolascon A, Amente S, Monti M, Fava LL, Capasso M, Kim HY, Zollo M. Targeting ATP2B1 impairs PI3K/Akt/FOXO signaling and reduces SARS-COV-2 infection and replication. EMBO Rep 2024; 25:2974-3007. [PMID: 38816514 PMCID: PMC11239940 DOI: 10.1038/s44319-024-00164-z] [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: 09/01/2022] [Revised: 05/02/2024] [Accepted: 05/07/2024] [Indexed: 06/01/2024] Open
Abstract
ATP2B1 is a known regulator of calcium (Ca2+) cellular export and homeostasis. Diminished levels of intracellular Ca2+ content have been suggested to impair SARS-CoV-2 replication. Here, we demonstrate that a nontoxic caloxin-derivative compound (PI-7) reduces intracellular Ca2+ levels and impairs SARS-CoV-2 infection. Furthermore, a rare homozygous intronic variant of ATP2B1 is shown to be associated with the severity of COVID-19. The mechanism of action during SARS-CoV-2 infection involves the PI3K/Akt signaling pathway activation, inactivation of FOXO3 transcription factor function, and subsequent transcriptional inhibition of the membrane and reticulum Ca2+ pumps ATP2B1 and ATP2A1, respectively. The pharmacological action of compound PI-7 on sustaining both ATP2B1 and ATP2A1 expression reduces the intracellular cytoplasmic Ca2+ pool and thus negatively influences SARS-CoV-2 replication and propagation. As compound PI-7 lacks toxicity in vitro, its prophylactic use as a therapeutic agent against COVID-19 is envisioned here.
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Affiliation(s)
- Pasqualino de Antonellis
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
- Elysium Cell Bio Ita SRL, Via Gaetano Salvatore 486, 80145, Naples, Italy
| | - Veronica Ferrucci
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
- Elysium Cell Bio Ita SRL, Via Gaetano Salvatore 486, 80145, Naples, Italy
| | - Marco Miceli
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
| | - Francesca Bibbo
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | - Fatemeh Asadzadeh
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
- European School of Molecular Medicine, SEMM, Naples, Italy
| | - Francesca Gorini
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | - Alessia Mattivi
- Armenise-Harvard Laboratory of Cell Division, Department of Cellular Computational and Integrative Biology-CIBIO, University of Trento, Trento, Italy
| | | | - Roberta Russo
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | - Immacolata Andolfo
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | | | | | - Giovanna Fusco
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, Naples, 80055, Italy
| | - Maurizio Viscardi
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, Naples, 80055, Italy
| | - Sergio Brandi
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, Naples, 80055, Italy
| | - Pellegrino Cerino
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, Naples, 80055, Italy
| | - Vittoria Monaco
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Department of Chemical Sciences, University 'Federico II' University of Naples, Naples, 80125, Italy
| | - Dong-Rac Choi
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
- Elysiumbio Inc., #2007, Samsung Cheil B/D, 309, Teheran-ro, Gangnam-gu, Seoul, 06151, Korea
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Achille Iolascon
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | - Stefano Amente
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | - Maria Monti
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Department of Chemical Sciences, University 'Federico II' University of Naples, Naples, 80125, Italy
| | - Luca L Fava
- Armenise-Harvard Laboratory of Cell Division, Department of Cellular Computational and Integrative Biology-CIBIO, University of Trento, Trento, Italy
| | - Mario Capasso
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy
| | - Hong-Yeoul Kim
- Elysiumbio Inc., #2007, Samsung Cheil B/D, 309, Teheran-ro, Gangnam-gu, Seoul, 06151, Korea
| | - Massimo Zollo
- CEINGE Biotecnologie Avanzate, Naples, 80145, Italy.
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), 'Federico II' University of Naples, Naples, 80131, Italy.
- Elysium Cell Bio Ita SRL, Via Gaetano Salvatore 486, 80145, Naples, Italy.
- European School of Molecular Medicine, SEMM, Naples, Italy.
- DAI Medicina di Laboratorio e Trasfusionale, 'Federico II' University of Naples, 80131, Naples, Italy.
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O'Leary K, Zheng D. Metacell-based differential expression analysis identifies cell type specific temporal gene response programs in COVID-19 patient PBMCs. NPJ Syst Biol Appl 2024; 10:36. [PMID: 38580667 PMCID: PMC10997786 DOI: 10.1038/s41540-024-00364-2] [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: 12/07/2023] [Accepted: 03/27/2024] [Indexed: 04/07/2024] Open
Abstract
By profiling gene expression in individual cells, single-cell RNA-sequencing (scRNA-seq) can resolve cellular heterogeneity and cell-type gene expression dynamics. Its application to time-series samples can identify temporal gene programs active in different cell types, for example, immune cells' responses to viral infection. However, current scRNA-seq analysis has limitations. One is the low number of genes detected per cell. The second is insufficient replicates (often 1-2) due to high experimental cost. The third lies in the data analysis-treating individual cells as independent measurements leads to inflated statistics. To address these, we explore a new computational framework, specifically whether "metacells" constructed to maintain cellular heterogeneity within individual cell types (or clusters) can be used as "replicates" for increasing statistical rigor. Toward this, we applied SEACells to a time-series scRNA-seq dataset from peripheral blood mononuclear cells (PBMCs) after SARS-CoV-2 infection to construct metacells, and used them in maSigPro for quadratic regression to find significantly differentially expressed genes (DEGs) over time, followed by clustering expression velocity trends. We showed that such metacells retained greater expression variances and produced more biologically meaningful DEGs compared to either metacells generated randomly or from simple pseudobulk methods. More specifically, this approach correctly identified the known ISG15 interferon response program in almost all PBMC cell types and many DEGs enriched in the previously defined SARS-CoV-2 infection response pathway. It also uncovered additional and more cell type-specific temporal gene expression programs. Overall, our results demonstrate that the metacell-pseudoreplicate strategy could potentially overcome the limitation of 1-2 replicates.
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Affiliation(s)
- Kevin O'Leary
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Deyou Zheng
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
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Yazdanparast S, Bakhtiyaridovvombaygi M, Mikanik F, Ahmadi R, Ghorbani M, Mansoorian MR, Mansoorian M, Chegni H, Moshari J, Gharehbaghian A. Spotlight on contributory role of host immunogenetic profiling in SARS-CoV-2 infection: Susceptibility, severity, mortality, and vaccine effectiveness. Life Sci 2023:121907. [PMID: 37394094 DOI: 10.1016/j.lfs.2023.121907] [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: 03/04/2023] [Revised: 06/29/2023] [Accepted: 06/29/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND The SARS-CoV-2 virus has spread continuously worldwide, characterized by various clinical symptoms. The immune system responds to SARS-CoV-2 infection by producing Abs and secreting cytokines. Recently, numerous studies have highlighted that immunogenetic factors perform a putative role in COVID-19 pathogenesis and implicate vaccination effectiveness. AIM This review summarizes the relevant articles and evaluates the significance of mutation and polymorphism in immune-related genes regarding susceptibility, severity, mortality, and vaccination effectiveness of COVID-19. Furthermore, the correlation between host immunogenetic and SARS-CoV-2 reinfection is discussed. METHOD A comprehensive search was conducted to identify relevant articles using five databases until January 2023, which resulted in 105 total articles. KEY FINDINGS Taken to gather this review summarized that: (a) there is a plausible correlation between immune-related genes and COVID-19 outcomes, (b) the HLAs, cytokines, chemokines, and other immune-related genes expression profiles can be a prognostic factor in COVID-19-infected patients, and (c) polymorphisms in immune-related genes have been associated with the effectiveness of vaccination. SIGNIFICANCE Regarding the importance of mutation and polymorphisms in immune-related genes in COVID-19 outcomes, modulating candidate genes is expected to help clinical decisions, patient outcomes management, and innovative therapeutic approach development. In addition, the manipulation of host immunogenetics is hypothesized to induce more robust cellular and humoral immune responses, effectively increase the efficacy of vaccines, and subsequently reduce the incidence rates of reinfection-associated COVID-19.
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Affiliation(s)
- Somayeh Yazdanparast
- Student Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Bakhtiyaridovvombaygi
- Student Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Mikanik
- Student Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Reza Ahmadi
- Department of Infectious Diseases, School of Medicine, Infectious Diseases Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Mohammad Ghorbani
- Laboratory Hematology and Transfusion Medicine, Department of Pathology, Faculty Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
| | | | - Mozhgan Mansoorian
- Nursing Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Hamid Chegni
- Department of Immunology, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jalil Moshari
- School of Medicine, Gonabad University of Medical Science, Gonabad, Iran
| | - Ahmad Gharehbaghian
- Department of Hematology and Blood Bank, School of Allied Medical Science, Shahid Beheshti University of Medical Science, Tehran, Iran; Pediatric Congenital Hematologic Disorders Research Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Alsaedi SB, Mineta K, Gao X, Gojobori T. Computational network analysis of host genetic risk variants of severe COVID-19. Hum Genomics 2023; 17:17. [PMID: 36859360 PMCID: PMC9977643 DOI: 10.1186/s40246-023-00454-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/28/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Genome-wide association studies have identified numerous human host genetic risk variants that play a substantial role in the host immune response to SARS-CoV-2. Although these genetic risk variants significantly increase the severity of COVID-19, their influence on body systems is poorly understood. Therefore, we aim to interpret the biological mechanisms and pathways associated with the genetic risk factors and immune responses in severe COVID-19. We perform a deep analysis of previously identified risk variants and infer the hidden interactions between their molecular networks through disease mapping and the similarity of the molecular functions between constructed networks. RESULTS We designed a four-stage computational workflow for systematic genetic analysis of the risk variants. We integrated the molecular profiles of the risk factors with associated diseases, then constructed protein-protein interaction networks. We identified 24 protein-protein interaction networks with 939 interactions derived from 109 filtered risk variants in 60 risk genes and 56 proteins. The majority of molecular functions, interactions and pathways are involved in immune responses; several interactions and pathways are related to the metabolic and cardiovascular systems, which could lead to multi-organ complications and dysfunction. CONCLUSIONS This study highlights the importance of analyzing molecular interactions and pathways to understand the heterogeneous susceptibility of the host immune response to SARS-CoV-2. We propose new insights into pathogenicity analysis of infections by including genetic risk information as essential factors to predict future complications during and after infection. This approach may assist more precise clinical decisions and accurate treatment plans to reduce COVID-19 complications.
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Affiliation(s)
- Sakhaa B. Alsaedi
- grid.45672.320000 0001 1926 5090Division of Computer, Electrical and Mathematical Sciences and Engineering, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900 Saudi Arabia ,grid.412892.40000 0004 1754 9358College of Computer Science and Engineering (CCSE), Taibah University, Medina, Saudi Arabia
| | - Katsuhiko Mineta
- grid.45672.320000 0001 1926 5090Division of Computer, Electrical and Mathematical Sciences and Engineering, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900 Saudi Arabia ,grid.5290.e0000 0004 1936 9975AND Research Organization for Nano and Life Innovation, Waseda University, Tokyo, 162-0041 Japan
| | - Xin Gao
- grid.45672.320000 0001 1926 5090Division of Computer, Electrical and Mathematical Sciences and Engineering, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900 Saudi Arabia
| | - Takashi Gojobori
- Division of Computer, Electrical and Mathematical Sciences and Engineering, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
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Gupta K, Kaur G, Pathak T, Banerjee I. Systematic review and meta-analysis of human genetic variants contributing to COVID-19 susceptibility and severity. Gene 2022; 844:146790. [PMID: 35987511 PMCID: PMC9384365 DOI: 10.1016/j.gene.2022.146790] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/25/2022] [Accepted: 08/05/2022] [Indexed: 12/12/2022]
Abstract
The COVID-19 pandemic has spawned global health crisis of unprecedented magnitude, claiming millions of lives and pushing healthcare systems in many countries to the brink. Among several factors that contribute to an increased risk of COVID-19 and progression to exacerbated manifestations, host genetic landscape is increasingly being recognized as a critical determinant of susceptibility/resistance to infection and a prognosticator of clinical outcomes in infected individuals. Recently, several case-control association studies investigated the influence of human gene variants on COVID-19 susceptibility and severity to identify the culpable mutations. However, a comprehensive synthesis of the recent advances in COVID-19 host genetics research was lacking, and the inconsistent findings of the association studies required reliable evaluation of the strength of association with greater statistical power. In this study, we embarked on a systematic search of all possible reports of genetic association with COVID-19 till April 07, 2022, and performed meta-analyses of all the genetic polymorphisms that were examined in at least three studies. After identifying a total of 84 studies that investigated the association of 130 polymorphisms in 61 genes, we performed meta-analyses of all the eligible studies. Seven genetic polymorphisms involving 15,550 cases and 444,007 controls were explored for association with COVID-19 susceptibility, of which, ACE1 I/D rs4646994/rs1799752, APOE rs429358, CCR5 rs333, and IFITM3 rs12252 showed increased risk of infection. Meta-analyses of 11 gene variants involving 6702 patients with severe COVID-19 and 8640 infected individuals with non-severe manifestations revealed statistically significant association of ACE2 rs2285666, ACE2 rs2106809, ACE2 rs2074192, AGTR1 rs5186, and TNFA rs1800629 with COVID-19 severity. Overall, our study presents a synthesis of evidence on all the genetic determinants implicated in COVID-19 to date, and provides evidence of correlation between the above polymorphisms with COVID-19 susceptibility and severity.
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Affiliation(s)
| | | | | | - Indranil Banerjee
- Cellular Virology Lab, Department of Biological Sciences, Indian Institute of Science Education and Research, Mohali (IISER Mohali), Sector 81, S.A.S Nagar, Mohali 140306, India.
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Martinou M, Katifelis H, Gialafos E, Atliev KT, Papiris S, Gazouli M. Association of BAFF and BAFF-R polymorphisms with sarcoidosis in a Greek patient cohort. Arch Med Sci 2022; 19:672-677. [PMID: 37313206 PMCID: PMC10259409 DOI: 10.5114/aoms/154019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 09/13/2022] [Indexed: 09/11/2023] Open
Abstract
INTRODUCTION Sarcoidosis is a disease that results from a combination of environmental and genetic factors. Its genetic basis however, is yet to be clarified. The purpose of this study is to determine whether single nucleotide polymorphisms (SNPs) of the B-cell activating factor (BAFF) and its receptor (BAFF-R) are associated with sarcoidosis. MATERIAL AND METHODS Blood samples from one hundred and seventy-three sarcoidosis patients and one hundred and sixty-four controls were collected. All samples were genotyped for BAFF rs2893321, rs1041569 and rs9514828, and for BAFF-R rs61756766. RESULTS Out of the three BAFF polymorphisms, none genotype had any significant association with sarcoidosis, although the T allele in rs1041569 and rs9514828 was overrepresented in sarcoidosis patients. A marginally significant association with sarcoidosis was found in the case of the CT genotype and T allele of BAFF-R rs61756766. Haplotype analysis of the BAFF polymorphisms was also performed, revealing an overrepresentation of the ATT, GTA and GTT haplotypes in the group of patients with cardiac involvement. CONCLUSIONS Taken together, the results of this study suggest a possible relationship between BAFF SNPs, rs1041569 and rs9514828, and BAFF-R SNP rs61756766 with sarcoidosis susceptibility and their potential as biomarkers for the disease.
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Affiliation(s)
- Maria Martinou
- Laboratory of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Hector Katifelis
- Laboratory of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Elias Gialafos
- First Department of Neurology, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Kiril Todorov Atliev
- Department of Urology and General Medicine, Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Spiridon Papiris
- 2 Respiratory Medicine Department, “Attikon” University Hospital, Chaidari, Athens, Greece
| | - Maria Gazouli
- Laboratory of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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Tziastoudi M, Cholevas C, Stefanidis I, Theoharides TC. Genetics of COVID-19 and myalgic encephalomyelitis/chronic fatigue syndrome: a systematic review. Ann Clin Transl Neurol 2022; 9:1838-1857. [PMID: 36204816 PMCID: PMC9639636 DOI: 10.1002/acn3.51631] [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: 04/27/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 01/08/2023] Open
Abstract
COVID‐19 and ME/CFS present with some similar symptoms, especially physical and mental fatigue. In order to understand the basis of these similarities and the possibility of underlying common genetic components, we performed a systematic review of all published genetic association and cohort studies regarding COVID‐19 and ME/CFS and extracted the genes along with the genetic variants investigated. We then performed gene ontology and pathway analysis of those genes that gave significant results in the individual studies to yield functional annotations of the studied genes using protein analysis through evolutionary relationships (PANTHER) VERSION 17.0 software. Finally, we identified the common genetic components of these two conditions. Seventy‐one studies for COVID‐19 and 26 studies for ME/CFS were included in the systematic review in which the expression of 97 genes for COVID‐19 and 429 genes for ME/CFS were significantly affected. We found that ACE, HLA‐A, HLA‐C, HLA‐DQA1, HLA‐DRB1, and TYK2 are the common genes that gave significant results. The findings of the pathway analysis highlight the contribution of inflammation mediated by chemokine and cytokine signaling pathways, and the T cell activation and Toll receptor signaling pathways. Protein class analysis revealed the contribution of defense/immunity proteins, as well as protein‐modifying enzymes. Our results suggest that the pathogenesis of both syndromes could involve some immune dysfunction.
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Affiliation(s)
- Maria Tziastoudi
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Christos Cholevas
- First Department of Ophthalmology, Faculty of Health Sciences, Aristotle University, AHEPA Hospital, Thessaloniki, Greece
| | - Ioannis Stefanidis
- Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Theoharis C Theoharides
- Institute of Neuro-Immune Medicine, Nova Southeastern University, Clearwater, FL, USA.,Laboratory of Molecular Immunopharmacology and Drug Discovery, Department of Immunology, Tufts University School of Medicine, Boston, Massachusetts, USA.,School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, Massachusetts, USA.,Departments of Internal Medicine and Psychiatry, Tufts University School of Medicine and Tufts Medical Center, Boston, Massachusetts, USA
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8
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David S, Dorado G, Duarte EL, David-Bosne S, Trigueiro-Louro J, Rebelo-de-Andrade H. COVID-19: impact on Public Health and hypothesis-driven investigations on genetic susceptibility and severity. Immunogenetics 2022; 74:381-407. [PMID: 35348847 PMCID: PMC8961091 DOI: 10.1007/s00251-022-01261-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 03/14/2022] [Indexed: 12/12/2022]
Abstract
COVID-19 is a new complex multisystem disease caused by the novel coronavirus SARS-CoV-2. In slightly over 2 years, it infected nearly 500 million and killed 6 million human beings worldwide, causing an unprecedented coronavirus pandemic. Currently, the international scientific community is engaged in elucidating the molecular mechanisms of the pathophysiology of SARS-CoV-2 infection as a basis of scientific developments for the future control of COVID-19. Global exome and genome analysis efforts work to define the human genetics of protective immunity to SARS-CoV-2 infection. Here, we review the current knowledge regarding the SARS-CoV-2 infection, the implications of COVID-19 to Public Health and discuss genotype to phenotype association approaches that could be exploited through the selection of candidate genes to identify the genetic determinants of severe COVID-19.
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Affiliation(s)
- Susana David
- Departamento de Genética Humana, Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA,IP), Lisboa, Portugal.
- Instituto de Investigação do Medicamento (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal.
| | - Guillermo Dorado
- Atlántida Centro de Investigación y Desarrollo de Estudios Profesionales (CIDEP), Granada, Spain
| | - Elsa L Duarte
- MED-Instituto Mediterrâneo para a Agricultura, Ambiente e Desenvolvimento, Escola de Ciências e Tecnologia, Universidade de Évora, Évora, Portugal
| | | | - João Trigueiro-Louro
- Departamento de Doenças Infeciosas, INSA, IP, Lisboa, Portugal
- Host-Pathogen Interaction Unit, Instituto de Investigação do Medicamento (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
- Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, Lisboa, Portugal
| | - Helena Rebelo-de-Andrade
- Departamento de Doenças Infeciosas, INSA, IP, Lisboa, Portugal
- Host-Pathogen Interaction Unit, Instituto de Investigação do Medicamento (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
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9
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D’Alterio G, Lasorsa VA, Bonfiglio F, Cantalupo S, Rosato BE, Andolfo I, Russo R, Esposito U, Frisso G, Abete P, Cassese GM, Servillo G, Gentile I, Piscopo C, Della Monica M, Fiorentino G, Boccia A, Paolella G, Ferrucci V, de Antonellis P, Siciliano R, Asadzadeh F, Cerino P, Buonerba C, Pierri B, Zollo M, Iolascon A, Capasso M. Germline rare variants of lectin pathway genes predispose to asymptomatic SARS-CoV-2 infection in elderly individuals. Genet Med 2022; 24:1653-1663. [PMID: 35511137 PMCID: PMC9068606 DOI: 10.1016/j.gim.2022.04.007] [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: 10/27/2021] [Revised: 04/04/2022] [Accepted: 04/05/2022] [Indexed: 01/31/2023] Open
Abstract
PURPOSE Emerging evidence suggest that infection-dependent hyperactivation of complement system (CS) may worsen COVID-19 outcome. We investigated the role of predicted high impact rare variants - referred as qualifying variants (QVs) - of CS genes in predisposing asymptomatic COVID-19 in elderly individuals, known to be more susceptible to severe disease. METHODS Exploiting exome sequencing data and 56 CS genes, we performed a gene-based collapsing test between 164 asymptomatic subjects (aged ≥60 years) and 56,885 European individuals from the Genome Aggregation Database. We replicated this test comparing the same asymptomatic individuals with 147 hospitalized patients with COVID-19. RESULTS We found an enrichment of QVs in 3 genes (MASP1, COLEC11, and COLEC10), which belong to the lectin pathway, in the asymptomatic cohort. Analyses of complement activity in serum showed decreased activity of lectin pathway in asymptomatic individuals with QVs. Finally, we found allelic variants associated with asymptomatic COVID-19 phenotype and with a decreased expression of MASP1, COLEC11, and COLEC10 in lung tissue. CONCLUSION This study suggests that genetic rare variants can protect from severe COVID-19 by mitigating the activity of lectin pathway and prothrombin. The genetic data obtained through ES of 786 asymptomatic and 147 hospitalized individuals are publicly available at http://espocovid.ceinge.unina.it/.
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Affiliation(s)
- Giuseppe D’Alterio
- European School of Molecular Medicine, Università degli Studi di Milano, Milan, Italy,CEINGE Biotecnologie Avanzate, Naples, Italy
| | | | - Ferdinando Bonfiglio
- Department of Chemical, Materials and Production Engineering, University of Naples Federico II, Naples, Italy
| | - Sueva Cantalupo
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Barbara Eleni Rosato
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Immacolata Andolfo
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Roberta Russo
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | | | - Giulia Frisso
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Pasquale Abete
- COVID Hospital, P.O.S. Anna e SS. Madonna della Neve di Boscotrecase, Ospedali Riuniti Area Vesuviana, Naples, Italy
| | - Gian Marco Cassese
- COVID Hospital, P.O.S. Anna e SS. Madonna della Neve di Boscotrecase, Ospedali Riuniti Area Vesuviana, Naples, Italy
| | - Giuseppe Servillo
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Ivan Gentile
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Carmelo Piscopo
- Medical and Laboratory Genetics Unit, A.O.R.N. Antonio Cardarelli, Naples, Italy
| | - Matteo Della Monica
- Medical and Laboratory Genetics Unit, A.O.R.N. Antonio Cardarelli, Naples, Italy
| | - Giuseppe Fiorentino
- Cotugno Hospital, Azienda Ospedaliera di Rilievo Nazionale Ospedali dei Colli, Naples, Italy
| | | | - Giovanni Paolella
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Veronica Ferrucci
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Pasqualino de Antonellis
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Roberto Siciliano
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Fathem Asadzadeh
- European School of Molecular Medicine, Università degli Studi di Milano, Milan, Italy,CEINGE Biotecnologie Avanzate, Naples, Italy
| | - Pellegrino Cerino
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, Napoli, Italy
| | - Carlo Buonerba
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana,” University of Salerno, Baronissi, Italy
| | - Biancamaria Pierri
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, Napoli, Italy,Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana,” University of Salerno, Baronissi, Italy
| | - Massimo Zollo
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Achille Iolascon
- CEINGE Biotecnologie Avanzate, Naples, Italy,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Mario Capasso
- CEINGE Biotecnologie Avanzate, Naples, Italy; Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy.
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10
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Dieter C, Brondani LDA, Leitão CB, Gerchman F, Lemos NE, Crispim D. Genetic polymorphisms associated with susceptibility to COVID-19 disease and severity: A systematic review and meta-analysis. PLoS One 2022; 17:e0270627. [PMID: 35793369 PMCID: PMC9258831 DOI: 10.1371/journal.pone.0270627] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/15/2022] [Indexed: 12/17/2022] Open
Abstract
Although advanced age and presence of comorbidities significantly impact the variation observed in the clinical symptoms of COVID-19, it has been suggested that genetic variants may also be involved in the disease. Thus, the aim of this study was to perform a systematic review with meta-analysis of the literature to identify genetic polymorphisms that are likely to contribute to COVID-19 pathogenesis. Pubmed, Embase and GWAS Catalog repositories were systematically searched to retrieve articles that investigated associations between polymorphisms and COVID-19. For polymorphisms analyzed in 3 or more studies, pooled OR with 95% CI were calculated using random or fixed effect models in the Stata Software. Sixty-four eligible articles were included in this review. In total, 8 polymorphisms in 7 candidate genes and 74 alleles of the HLA loci were analyzed in 3 or more studies. The HLA-A*30 and CCR5 rs333Del alleles were associated with protection against COVID-19 infection, while the APOE rs429358C allele was associated with risk for this disease. Regarding COVID-19 severity, the HLA-A*33, ACE1 Ins, and TMPRSS2 rs12329760T alleles were associated with protection against severe forms, while the HLA-B*38, HLA-C*6, and ApoE rs429358C alleles were associated with risk for severe forms of COVID-19. In conclusion, polymorphisms in the ApoE, ACE1, TMPRSS2, CCR5, and HLA loci appear to be involved in the susceptibility to and/or severity of COVID-19.
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Affiliation(s)
- Cristine Dieter
- Endocrine and Metabolism Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Letícia de Almeida Brondani
- Endocrine and Metabolism Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Cristiane Bauermann Leitão
- Endocrine and Metabolism Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Fernando Gerchman
- Endocrine and Metabolism Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Natália Emerim Lemos
- Endocrine and Metabolism Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Daisy Crispim
- Endocrine and Metabolism Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- * E-mail:
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11
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Ishak A, Mehendale M, AlRawashdeh MM, Sestacovschi C, Sharath M, Pandav K, Marzban S. The association of COVID-19 severity and susceptibility and genetic risk factors: A systematic review of the literature. Gene 2022; 836:146674. [PMID: 35714803 PMCID: PMC9195407 DOI: 10.1016/j.gene.2022.146674] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/27/2022] [Accepted: 06/10/2022] [Indexed: 11/15/2022]
Abstract
Background COVID-19 is associated with several risk factors such as distinct ethnicities (genetic ancestry), races, sexes, age, pre-existing comorbidities, smoking, and genetics. The authors aim to evaluate the correlation between variability in the host genetics and the severity and susceptibility towards COVID-19 in this study. Methods Following the PRISMA guidelines, we retrieved all the relevant articles published until September 15, 2021, from two online databases: PubMed and Scopus. Findings High-risk HLA haplotypes, higher expression of ACE polymorphisms, and several genes of cellular proteases such as TMPRSS2, FURIN, TLL-1 increase the risk of susceptibility and severity of COVID-19. In addition, upregulation of several genes encoding for both innate and acquired immune systems proteins, mainly CCR5, IFNs, TLR, DPPs, and TNF, positively correlate with COVID-19 severity. However, reduced expression or polymorphisms in genes affecting TLR and IFNλ increase COVID-19 severity. Conclusion Higher expression, polymorphisms, mutations, and deletions of several genes are linked with the susceptibility, severity, and clinical outcomes of COVID-19. Early treatment and vaccination of individuals with genetic predisposition could help minimize the severity and mortality associated with COVID-19.
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Affiliation(s)
- Angela Ishak
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA.
| | - Meghana Mehendale
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
| | - Mousa M AlRawashdeh
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA; European University Cyprus - School of Medicine, Nicosia, Cyprus
| | - Cristina Sestacovschi
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
| | - Medha Sharath
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA; Bangalore Medical College and Research Institute, Bangalore, Karnataka, India
| | - Krunal Pandav
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
| | - Sima Marzban
- Department of Research & Academic Affairs, Larkin Community Hospital, South Miami, Florida, USA
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12
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Novelli G, Biancolella M. COVID-19 and Molecular Genetics. Genes (Basel) 2022; 13:genes13040676. [PMID: 35456482 PMCID: PMC9025328 DOI: 10.3390/genes13040676] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/08/2022] [Indexed: 02/01/2023] Open
Affiliation(s)
- Giuseppe Novelli
- Department of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy
- Correspondence: (G.N.); (M.B.)
| | - Michela Biancolella
- Department of Biology, Tor Vergata University of Rome, 00133 Rome, Italy
- Correspondence: (G.N.); (M.B.)
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13
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Colona VL, Vasiliou V, Watt J, Novelli G, Reichardt JKV. Update on human genetic susceptibility to COVID-19: susceptibility to virus and response. Hum Genomics 2021; 15:57. [PMID: 34429158 PMCID: PMC8384585 DOI: 10.1186/s40246-021-00356-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Vito Luigi Colona
- Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133, Rome, Italy
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, USA
| | - Jessica Watt
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Smithfield, QLD, Australia
| | - Giuseppe Novelli
- Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133, Rome, Italy
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Pharmacology, School of Medicine, University of Nevada, Reno, NV, 89557, USA
| | - Juergen K V Reichardt
- Australian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, 4878, Australia.
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