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Beverley J, Babcock S, Carvalho G, Cowell LG, Duesing S, He Y, Hurley R, Merrell E, Scheuermann RH, Smith B. Coordinating virus research: The Virus Infectious Disease Ontology. PLoS One 2024; 19:e0285093. [PMID: 38236918 PMCID: PMC10796065 DOI: 10.1371/journal.pone.0285093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 04/12/2023] [Indexed: 01/22/2024] Open
Abstract
The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Rapid, accurate, and consistent interpretation of generated data is thereby of fundamental concern. Ontologies-structured, controlled, vocabularies-are designed to support consistency of interpretation, and thereby to prevent the development of data silos. This paper describes how ontologies are serving this purpose in the COVID-19 research domain, by following principles of the Open Biological and Biomedical Ontology (OBO) Foundry and by reusing existing ontologies such as the Infectious Disease Ontology (IDO) Core, which provides terminological content common to investigations of all infectious diseases. We report here on the development of an IDO extension, the Virus Infectious Disease Ontology (VIDO), a reference ontology covering viral infectious diseases. We motivate term and definition choices, showcase reuse of terms from existing OBO ontologies, illustrate how ontological decisions were motivated by relevant life science research, and connect VIDO to the Coronavirus Infectious Disease Ontology (CIDO). We next use terms from these ontologies to annotate selections from life science research on SARS-CoV-2, highlighting how ontologies employing a common upper-level vocabulary may be seamlessly interwoven. Finally, we outline future work, including bacteria and fungus infectious disease reference ontologies currently under development, then cite uses of VIDO and CIDO in host-pathogen data analytics, electronic health record annotation, and ontology conflict-resolution projects.
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Affiliation(s)
- John Beverley
- Department of Philosophy, University at Buffalo, Buffalo, NY, United States of America
- National Center for Ontological Research, Buffalo, NY, United States of America
| | - Shane Babcock
- National Center for Ontological Research, Buffalo, NY, United States of America
- Air Force Research Laboratory, Wright Patterson Air Force Base, Riverside, OH, United States of America
| | - Gustavo Carvalho
- Department of Cognitive Science, Northwestern University, Evanston, IL, United States of America
| | - Lindsay G. Cowell
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Sebastian Duesing
- Department of Philosophy, Loyola University, Chicago, IL, United States of America
| | - Yongqun He
- Computational Medicine and Bioinformatics, University of Michigan Medical School, He Group, Ann Arbor, MI, United States of America
| | - Regina Hurley
- National Center for Ontological Research, Buffalo, NY, United States of America
- Department of Philosophy, Northwestern University, Evanston, IL, United States of America
| | - Eric Merrell
- Department of Philosophy, University at Buffalo, Buffalo, NY, United States of America
- National Center for Ontological Research, Buffalo, NY, United States of America
| | - Richard H. Scheuermann
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, United States of America
- Department of Pathology, University of California, San Diego, CA, United States of America
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States of America
| | - Barry Smith
- Department of Philosophy, University at Buffalo, Buffalo, NY, United States of America
- National Center for Ontological Research, Buffalo, NY, United States of America
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Ghorbani M, Ferreira D, Maioli S. A metagenomic study of gut viral markers in amyloid-positive Alzheimer's disease patients. Alzheimers Res Ther 2023; 15:141. [PMID: 37608325 PMCID: PMC10464408 DOI: 10.1186/s13195-023-01285-8] [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: 06/24/2023] [Accepted: 08/04/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Mounting evidence suggests the involvement of viruses in the development and treatment of Alzheimer's disease (AD). However, there remains a significant research gap in metagenomic studies investigating the gut virome of AD patients, leaving gut viral dysbiosis in AD unexplored. This study aimed to fill this gap by conducting a metagenomics analysis of the gut virome in both amyloid-positive AD patients (Aβ + ADs) and healthy controls (HCs), with the objective of identifying viral signatures linked with AD. METHOD Whole-genome sequence (WGS) data from 65 human participants, including 30 Aβ + ADs and 35 HCs, was obtained from the database NCBI SRA (Bio Project: PRJEB47976). The Metaphlan3 pipeline and linear discriminant analysis effect size (LEfSe) analysis were utilized for the bioinformatics process and the detection of viral signatures, respectively. In addition, the Benjamini-Hochberg method was applied with a significance cutoff of 0.05 to evaluate the false discovery rate for all biomarkers identified by LEfSe. The CombiROC model was employed to determine the discriminatory power of the viral signatures identified by LEfSe. RESULTS Compared to HCs, the gut virome profiles of Aβ + ADs showed lower alpha diversity, indicating a lower bacteriophage richness. The Siphoviridae family was decreased in Aβ + ADs. Significant decreases of Lactococcus phages were found in Aβ + ADs, including bIL285, Lactococcus phage bIL286, Lactococcus phage bIL309, and Lactococcus phage BK5 T, Lactococcus phage BM13, Lactococcus phage P335 sensu lato, Lactococcus phage phiLC3, Lactococcus phage r1t, Lactococcus phage Tuc2009, Lactococcus phage ul36, and Lactococcus virus bIL67. The predictive combined model of these viral signatures obtained an area under the curve of 0.958 when discriminating Aβ + ADs from HCs. CONCLUSION This is the first study to identify distinct viral signatures in the intestine that can be used to effectively distinguish individuals with AD from HCs.
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Affiliation(s)
- Mahin Ghorbani
- Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden.
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas, España
| | - Silvia Maioli
- Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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Bacteriophage-Mediated Cancer Gene Therapy. Int J Mol Sci 2022; 23:ijms232214245. [PMID: 36430720 PMCID: PMC9697857 DOI: 10.3390/ijms232214245] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/12/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022] Open
Abstract
Bacteriophages have long been considered only as infectious agents that affect bacterial hosts. However, recent studies provide compelling evidence that these viruses are able to successfully interact with eukaryotic cells at the levels of the binding, entry and expression of their own genes. Currently, bacteriophages are widely used in various areas of biotechnology and medicine, but the most intriguing of them is cancer therapy. There are increasing studies confirming the efficacy and safety of using phage-based vectors as a systemic delivery vehicle of therapeutic genes and drugs in cancer therapy. Engineered bacteriophages, as well as eukaryotic viruses, demonstrate a much greater efficiency of transgene delivery and expression in cancer cells compared to non-viral gene transfer methods. At the same time, phage-based vectors, in contrast to eukaryotic viruses-based vectors, have no natural tropism to mammalian cells and, as a result, provide more selective delivery of therapeutic cargos to target cells. Moreover, numerous data indicate the presence of more complex molecular mechanisms of interaction between bacteriophages and eukaryotic cells, the further study of which is necessary both for the development of gene therapy methods and for understanding the cancer nature. In this review, we summarize the key results of research into aspects of phage-eukaryotic cell interaction and, in particular, the use of phage-based vectors for highly selective and effective systemic cancer gene therapy.
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Exploiting an Ontological Model to Study COVID-19 Contagion Chains in Sustainable Smart Cities. INFORMATION 2022. [DOI: 10.3390/info13010040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
The COVID-19 pandemic has caused the deaths of millions of people around the world. The scientific community faces a tough struggle to reduce the effects of this pandemic. Several investigations dealing with different perspectives have been carried out. However, it is not easy to find studies focused on COVID-19 contagion chains. A deep analysis of contagion chains may contribute new findings that can be used to reduce the effects of COVID-19. For example, some interesting chains with specific behaviors could be identified and more in-depth analyses could be performed to investigate the reasons for such behaviors. To represent, validate and analyze the information of contagion chains, we adopted an ontological approach. Ontologies are artificial intelligence techniques that have become widely accepted solutions for the representation of knowledge and corresponding analyses. The semantic representation of information by means of ontologies enables the consistency of the information to be checked, as well as automatic reasoning to infer new knowledge. The ontology was implemented in Ontology Web Language (OWL), which is a formal language based on description logics. This approach could have a special impact on smart cities, which are characterized as using information to enhance the quality of basic services for citizens. In particular, health services could take advantage of this approach to reduce the effects of COVID-19.
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Iorio A, Biazzo M, Gardini S, Muda AO, Perno CF, Dallapiccola B, Putignani L. Cross-correlation of virome-bacteriome-host-metabolome to study respiratory health. Trends Microbiol 2021; 30:34-46. [PMID: 34052095 DOI: 10.1016/j.tim.2021.04.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 04/29/2021] [Accepted: 04/30/2021] [Indexed: 12/13/2022]
Abstract
A comprehensive understanding of the microbiome-host relationship in respiratory diseases can be elucidated by exploring the landscape of virome-bacteriome-host metabolome data through unsupervised 'multi-omics' approaches. Here, we describe how the composition and function of airway and gut virome and bacteriome may contribute to pathogen establishment and propagation in airway districts and how the virome-bacteriome communities may react to respiratory diseases. A new systems medicine approach, including the characterization of respiratory and gut microbiome, may be crucial to demonstrate the likelihood and odds of respiratory disease pathophysiology, opening new avenues to the discovery of a chain of causation for key bacteria and viruses in disease severity.
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Affiliation(s)
- Andrea Iorio
- Department of Diagnostic and Laboratory Medicine, Unit of Parasitology and Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Manuele Biazzo
- The BioArte Ltd, The Victoria Centre, Mosta, Malta; SienaBioActive, University of Siena, Siena, Italy
| | | | - Andrea Onetti Muda
- Department of Diagnostic and Laboratory Medicine, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Carlo Federico Perno
- Unit of Microbiology and Immunology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Bruno Dallapiccola
- Scientific Directorate, Children's Hospital and Research Institute 'Bambino Gesù', IRCCS, Rome
| | - Lorenza Putignani
- Department of Diagnostic and Laboratory Medicine, Unit of Parasitology and Multimodal Laboratory Medicine Research Area, Unit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
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Hraber P, O'Maille PE, Silberfarb A, Davis-Anderson K, Generous N, McMahon BH, Fair JM. Resources to Discover and Use Short Linear Motifs in Viral Proteins. Trends Biotechnol 2020; 38:113-127. [PMID: 31427097 PMCID: PMC7114124 DOI: 10.1016/j.tibtech.2019.07.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 07/11/2019] [Accepted: 07/15/2019] [Indexed: 12/23/2022]
Abstract
Viral proteins evade host immune function by molecular mimicry, often achieved by short linear motifs (SLiMs) of three to ten consecutive amino acids (AAs). Motif mimicry tolerates mutations, evolves quickly to modify interactions with the host, and enables modular interactions with protein complexes. Host cells cannot easily coordinate changes to conserved motif recognition and binding interfaces under selective pressure to maintain critical signaling pathways. SLiMs offer potential for use in synthetic biology, such as better immunogens and therapies, but may also present biosecurity challenges. We survey viral uses of SLiMs to mimic host proteins, and information resources available for motif discovery. As the number of examples continues to grow, knowledge management tools are essential to help organize and compare new findings.
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Affiliation(s)
- Peter Hraber
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
| | - Paul E O'Maille
- Biosciences Division, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA
| | - Andrew Silberfarb
- Artificial Intelligence Center, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA
| | - Katie Davis-Anderson
- Biosecurity and Public Health, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Nicholas Generous
- Global Security Directorate, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Benjamin H McMahon
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Jeanne M Fair
- Biosecurity and Public Health, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
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Rumlová M, Ruml T. In vitro methods for testing antiviral drugs. Biotechnol Adv 2018; 36:557-576. [PMID: 29292156 PMCID: PMC7127693 DOI: 10.1016/j.biotechadv.2017.12.016] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 12/22/2017] [Accepted: 12/27/2017] [Indexed: 12/24/2022]
Abstract
Despite successful vaccination programs and effective treatments for some viral infections, humans are still losing the battle with viruses. Persisting human pandemics, emerging and re-emerging viruses, and evolution of drug-resistant strains impose continuous search for new antiviral drugs. A combination of detailed information about the molecular organization of viruses and progress in molecular biology and computer technologies has enabled rational antivirals design. Initial step in establishing efficacy of new antivirals is based on simple methods assessing inhibition of the intended target. We provide here an overview of biochemical and cell-based assays evaluating the activity of inhibitors of clinically important viruses.
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Affiliation(s)
- Michaela Rumlová
- Department of Biotechnology, University of Chemistry and Technology, Prague 166 28, Czech Republic.
| | - Tomáš Ruml
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague 166 28, Czech Republic.
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