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Ahmad P, Siqueira WL. Mass spectrometry-based proteomics profiling of dogs with and without oral diseases: a systematic review. BMC Oral Health 2024; 24:369. [PMID: 38519930 PMCID: PMC10958906 DOI: 10.1186/s12903-024-04096-x] [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: 01/03/2024] [Accepted: 03/04/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Understanding the distinct proteomics profiles in dogs' oral biofluids enhances diagnostic and therapeutic insights for canine oral diseases, fostering cross-species translational research in dentistry and medicine. This study aimed to conduct a systematic review to investigate the similarities and differences between the oral biofluids' proteomics profile of dogs with and without oral diseases. METHODS PubMed, Web of Science, and Scopus were searched with no restrictions on publication language or year to address the following focused question: "What is the proteome signature of healthy versus diseased (oral) dogs' biofluids?" Gene Ontology enrichment and the Kyoto Encyclopedia of Genes and Genomes pathway analyses of the most abundant proteins were performed. Moreover, protein-protein interaction analysis was conducted. The risk of bias (RoB) among the included studies was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Studies Reporting Prevalence Data. RESULTS In healthy dogs, the proteomic analysis identified 5,451 proteins, with 137 being the most abundant, predominantly associated with 'innate immune response'. Dogs with oral diseases displayed 6,470 proteins, with distinct associations: 'defense response to bacterium' (periodontal diseases), 'negative regulation of transcription' (dental calculus), and 'positive regulation of transcription' (oral tumors). Clustering revealed significant protein clusters in each case, emphasizing the diverse molecular profiles in health and oral diseases. Only six studies were provided to the JBI tool, as they encompassed case-control evaluations that compared healthy dogs to dogs with oral disease(s). All included studies were found to have low RoB (high quality). CONCLUSION Significant differences in the proteomics profiles of oral biofluids between dogs with and without oral diseases were found. The synergy of animal proteomics and bioinformatics offers a promising avenue for cross-species research, despite persistent challenges in result validation.
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Affiliation(s)
- Paras Ahmad
- College of Dentistry, University of Saskatchewan, 105 Wiggins Road, Saskatoon, SK, S7N 5E5, Canada
| | - Walter L Siqueira
- College of Dentistry, University of Saskatchewan, 105 Wiggins Road, Saskatoon, SK, S7N 5E5, Canada.
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Hotea I, Sirbu C, Plotuna AM, Tîrziu E, Badea C, Berbecea A, Dragomirescu M, Radulov I. Integrating (Nutri-)Metabolomics into the One Health Tendency-The Key for Personalized Medicine Advancement. Metabolites 2023; 13:800. [PMID: 37512507 PMCID: PMC10384896 DOI: 10.3390/metabo13070800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Metabolomics is an advanced technology, still under development, with multiple research applications, especially in the field of health. Individual metabolic profiles, the functionality of the body, as well as its interaction with the environment, can be established using this technology. The body's response to various external factors, including the food consumed and the nutrients it contains, has increased researchers' interest in nutrimetabolomics. Establishing correlations between diet and the occurrence of various diseases, or even the development of personalized nutrition plans, could contribute to advances in precision medicine. The interdependence between humans, animals, and the environment is of particular importance today, with the dramatic emergence and spread of zoonotic diseases, food, water and soil contamination, and the degradation of resources and habitats. All these events have led to an increase in risk factors for functional diseases, burdening global health. Thus, this study aimed to highlight the importance of metabolomics, and, in particular, nutrimetabolomics, as a technical solution for a holistic, collaborative, and precise approach for the advancement of the One Health strategy.
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Affiliation(s)
- Ionela Hotea
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Catalin Sirbu
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Ana-Maria Plotuna
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Emil Tîrziu
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Corina Badea
- Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Adina Berbecea
- Faculty of Agriculture, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Monica Dragomirescu
- Faculty of Bioengineering of Animal Resources, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
| | - Isidora Radulov
- Faculty of Agriculture, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului, No. 119, 300645 Timisoara, Romania
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Lam L, Tien T, Wildung M, White L, Sellon RK, Fidel JL, Shelden EA. Comparative whole transcriptome analysis of gene expression in three canine soft tissue sarcoma types. PLoS One 2022; 17:e0273705. [PMID: 36099287 PMCID: PMC9469979 DOI: 10.1371/journal.pone.0273705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/11/2022] [Indexed: 11/29/2022] Open
Abstract
Soft tissue sarcomas are pleiotropic tumors of mesenchymal cell origin. These tumors are rare in humans but common in veterinary practice, where they comprise up to 15% of canine skin and subcutaneous cancers. Because they present similar morphologies, primary sites, and growth characteristics, they are treated similarly, generally by surgical resection followed by radiation therapy. Previous studies have examined a variety of genetic changes as potential drivers of tumorigenesis and progression in soft tissue sarcomas as well as their use as markers for soft tissue sarcoma subtypes. However, few studies employing next generation sequencing approaches have been published. Here, we have examined gene expression patterns in canine soft tissue sarcomas using RNA-seq analysis of samples obtained from archived formalin-fixed and paraffin-embedded tumors. We provide a computational framework for using resulting data to categorize tumors, perform cross species comparisons and identify genetic changes associated with tumorigenesis. Functional overrepresentation analysis of differentially expressed genes further implicate both common and tumor-type specific transcription factors as potential mediators of tumorigenesis and aggression. Implications for tumor-type specific therapies are discussed. Our results illustrate the potential utility of this approach for the discovery of new therapeutic approaches to the management of canine soft tissue sarcomas and support the view that both common and tumor-type specific mechanisms drive the development of these tumors.
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Affiliation(s)
- Lydia Lam
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
| | - Tien Tien
- Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
| | - Mark Wildung
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
| | - Laura White
- Washington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
| | - Rance K. Sellon
- Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
| | - Janean L. Fidel
- Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
| | - Eric A. Shelden
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States of America
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González-Arostegui LG, Rubio CP, Cerón JJ, Tvarijonaviciute A, Muñoz-Prieto A. Proteomics in dogs: a systematic review. Res Vet Sci 2021; 143:107-114. [PMID: 35007798 DOI: 10.1016/j.rvsc.2021.12.026] [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: 10/11/2021] [Revised: 12/17/2021] [Accepted: 12/29/2021] [Indexed: 10/19/2022]
Abstract
Proteomic analysis is having a rapid development as a method for the detection of biomarkers of diseases in dogs. Dogs in addition to their importance as companion animals, serve as important animal models for research. This study aims to systematically review evidence regarding the studies performed in proteomics in dogs, and specifically those made in serum, saliva, urine and/or plasma. Information searched in October 2020, January 2021 and August 2021, for English language publications of the last decade (2010-2020) were obtained from electronic databases. Screening, data extraction and risk of bias assessment were undertaken by two investigators. The risk of bias was evaluated using the Review Manager (RevMan 5) tool. Meta-analysis and case report studies were not included in this review. Through the screening process a total of 557 publications were identified after the removal of duplicates. Out of these, 65 were fully evaluated and 44 of these were included in the review. Most studies evaluated the proteome of disease and compared it with a healthy population, and most of the articles included were made on serum, followed by saliva. The overall risk of bias for all studies was high, due to an absence in the generation of random sequence. Overall proteomic analysis has allowed the discovery of new physiopathological pathways of diseases and potential biomarkers in the dog, which are addressed in this review.
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Affiliation(s)
- Luis Guillermo González-Arostegui
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Veterinary School, Campus of Excellence Mare Nostrum, University of Murcia, Campus Espinardo, 30100 Murcia, Spain
| | - Camila Peres Rubio
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Veterinary School, Campus of Excellence Mare Nostrum, University of Murcia, Campus Espinardo, 30100 Murcia, Spain; Department of Animal and Food Science, School of Veterinary Science, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Barcelona, Spain
| | - José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Veterinary School, Campus of Excellence Mare Nostrum, University of Murcia, Campus Espinardo, 30100 Murcia, Spain
| | - Asta Tvarijonaviciute
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Veterinary School, Campus of Excellence Mare Nostrum, University of Murcia, Campus Espinardo, 30100 Murcia, Spain.
| | - Alberto Muñoz-Prieto
- Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia
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Harrison BM, Loukopoulos P. Genomics and transcriptomics in veterinary oncology. Oncol Lett 2021; 21:336. [PMID: 33692868 PMCID: PMC7933772 DOI: 10.3892/ol.2021.12597] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 02/03/2021] [Indexed: 12/12/2022] Open
Abstract
The sequencing of the canine genome, combined with additional genomic technologies, has created opportunities for research linking veterinary genomics with naturally occurring cancer in dogs. Also, as numerous canine cancers have features in common with human cancers, comparative studies can be performed to evaluate the use of cancers in dogs as models for human cancer. There have been several reviews of veterinary genomics but, to the best of our knowledge, there has been no comprehensive review of the literature of canine cancer genomics. PubMed and CAB Abstracts databases were searched to retrieve relevant literature using the search terms ‘veterinary’, ‘cancer’ or ‘oncology’, and ‘genomics’ or ‘transcriptomics’. Results were manually assessed and grouped based on the techniques used, the cancer type investigated and genomic lesions targeted. The search resulted in the retrieval of 44 genomic and transcriptomic studies, with the most common technique employed being comparative genomic hybridization. Across both fields, the most commonly studied cancer type was canine osteosarcoma. Genomic and transcriptomic aberrations in canine cancer often reflected those reported in the corresponding human cancers. Analysis of the literature indicated that employing genomic and transcriptomic technologies has been instrumental in developing the understanding of the origin, development and pathogenesis of several canine cancers. However, their use in canine oncology is at an early phase, and there appears to be comparatively little understanding of certain canine cancer types in contrast to their human forms. Aberrations detected in all tumors were tabulated, and the results for osteosarcoma, lymphoma and leukemia, mast cell tumor, transmissible venereal tumor and urothelial carcinoma discussed in detail.
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Affiliation(s)
- Bridget Marie Harrison
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, Victoria 3030, Australia
| | - Panayiotis Loukopoulos
- Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, Victoria 3030, Australia
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Bilić P, Kuleš J, Galan A, Gomes de Pontes L, Guillemin N, Horvatić A, Festa Sabes A, Mrljak V, Eckersall PD. Proteomics in Veterinary Medicine and Animal Science: Neglected Scientific Opportunities with Immediate Impact. Proteomics 2018; 18:e1800047. [DOI: 10.1002/pmic.201800047] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 05/24/2018] [Indexed: 12/27/2022]
Affiliation(s)
- Petra Bilić
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Josipa Kuleš
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Asier Galan
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Leticia Gomes de Pontes
- Botucatu Medical School; Sao Paulo State University (UNESP); Avenida José Barbosa de Barros, 1780; Botucatu 18610-307 Brazil
| | - Nicolas Guillemin
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Anita Horvatić
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Amanda Festa Sabes
- Department of Clinical and Veterinary Surgery; Faculty of Agrarian and Veterinary Sciences; Via de Acesso Paulo Donato Castellane s/n. 14884-900 Jaboticabal São Paulo Brazil
| | - Vladimir Mrljak
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Peter David Eckersall
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
- Institute of Biodiversity; Animal Health and Comparative Medicine; College of Medicine; Veterinary Medicine and Life Sciences; University of Glasgow; Glasgow G61 1QH UK
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Clinical veterinary proteomics: Techniques and approaches to decipher the animal plasma proteome. Vet J 2017; 230:6-12. [PMID: 29208216 DOI: 10.1016/j.tvjl.2017.10.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 07/03/2017] [Accepted: 10/26/2017] [Indexed: 12/11/2022]
Abstract
Over the last two decades, technological advancements in the field of proteomics have advanced our understanding of the complex biological systems of living organisms. Techniques based on mass spectrometry (MS) have emerged as powerful tools to contextualise existing genomic information and to create quantitative protein profiles from plasma, tissues or cell lines of various species. Proteomic approaches have been used increasingly in veterinary science to investigate biological processes responsible for growth, reproduction and pathological events. However, the adoption of proteomic approaches by veterinary investigators lags behind that of researchers in the human medical field. Furthermore, in contrast to human proteomics studies, interpretation of veterinary proteomic data is difficult due to the limited protein databases available for many animal species. This review article examines the current use of advanced proteomics techniques for evaluation of animal health and welfare and covers the current status of clinical veterinary proteomics research, including successful protein identification and data interpretation studies. It includes a description of an emerging tool, sequential window acquisition of all theoretical fragment ion mass spectra (SWATH-MS), available on selected mass spectrometry instruments. This newly developed data acquisition technique combines advantages of discovery and targeted proteomics approaches, and thus has the potential to advance the veterinary proteomics field by enhancing identification and reproducibility of proteomics data.
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Villarnovo D, McCleary-Wheeler AL, Richards KL. Barking up the right tree: advancing our understanding and treatment of lymphoma with a spontaneous canine model. Curr Opin Hematol 2017; 24:359-366. [PMID: 28426554 PMCID: PMC5553274 DOI: 10.1097/moh.0000000000000357] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Spontaneous lymphoma in pet dogs is increasingly recognized as an ideal model for studying the disease in humans and for developing new targeted therapeutics for patients. Increasing interest by funding agencies, the private sector, and multidisciplinary academic collaborations between different disciplines and sectors now enables large knowledge gaps to be addressed and provides additional proof-of-concept examples to showcase the significance of the canine model. RECENT FINDINGS The current review addresses the rationale for a canine lymphoma model including the valuable role it can play in drug development, serving as a link between mouse xenograft models and human clinical trials and the infrastructure that is now in place to facilitate these studies. Research in this field has focused on filling in the gaps to make the canine lymphoma model more robust. These advances have included work on biomarkers, detection of minimal residual disease, expansion of genomic and proteomic data, and immunotherapy. SUMMARY Incorporating pet dogs into the drug development pipeline can improve the efficiency and predictability of preclinical models and decrease the time and cost required for a therapeutic target to be translated into clinical benefit.
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Affiliation(s)
- Dania Villarnovo
- aDepartment of Biomedical Sciences bDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca cSandra and Edward Meyer Cancer Center dDivision of Hematology/Oncology, Weill Cornell Medicine, New York, New York, USA
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