{"entity": "researcher", "timestamp": "2026-06-08T04:42:57.909Z", "family": "Bankvall", "given": "Maria", "initials": "M", "orcid": "0000-0003-3949-6739", "affiliations": ["Department of Oral Medicine & Pathology, Institute of Odontology, University of Gothenburg, Gothenburg, Sweden."], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/aa1610a7b02e4460a6da70cd0ee8ae80.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/aa1610a7b02e4460a6da70cd0ee8ae80"}}, "publications": [{"entity": "publication", "iuid": "cf882206f42147129b2b2c9d993a9c65", "links": {"self": {"href": "https://publications.scilifelab.se/publication/cf882206f42147129b2b2c9d993a9c65.json"}, "display": {"href": "https://publications.scilifelab.se/publication/cf882206f42147129b2b2c9d993a9c65"}}, "title": "Metataxonomic and metaproteomic profiling of the oral microbiome in oral lichen planus - a pilot study.", "authors": [{"family": "Bankvall", "given": "Maria", "initials": "M", "orcid": "0000-0003-3949-6739", "researcher": {"href": "https://publications.scilifelab.se/researcher/aa1610a7b02e4460a6da70cd0ee8ae80.json"}}, {"family": "Carda-Di\u00e9guez", "given": "Miguel", "initials": "M", "orcid": "0000-0002-9566-0321", "researcher": {"href": "https://publications.scilifelab.se/researcher/fcec88c7170c401f8b865b65622701ed.json"}}, {"family": "Mira", "given": "Alex", "initials": "A", "orcid": "0000-0002-9127-3877", "researcher": {"href": "https://publications.scilifelab.se/researcher/72a0e32c6e364913b6733c8475a71c7e.json"}}, {"family": "Karlsson", "given": "Anders", "initials": "A", "orcid": "0000-0002-2927-481X", "researcher": {"href": "https://publications.scilifelab.se/researcher/47af21fe1dd34c45909bc7268b6da563.json"}}, {"family": "Hass\u00e9us", "given": "Bengt", "initials": "B", "orcid": "0000-0003-3088-1550", "researcher": {"href": "https://publications.scilifelab.se/researcher/613b4f6b968b403d9d05696d40b864c7.json"}}, {"family": "Karlsson", "given": "Roger", "initials": "R", "orcid": "0000-0002-5919-2639", "researcher": {"href": "https://publications.scilifelab.se/researcher/bd9b10fd0fa34dd9a3de96f3c4860e32.json"}}, {"family": "Robledo-Sierra", "given": "Jairo", "initials": "J", "orcid": "0000-0001-6120-8655", "researcher": {"href": "https://publications.scilifelab.se/researcher/1b0dbeed1bd842a9b37dfb91782a4ad2.json"}}], "type": "journal article", "published": "2022-12-28", "journal": {"title": "Journal of Oral Microbiology", "issn": "2000-2297", "volume": "15", "issue": "1", "pages": "2161726", "issn-l": "2000-2297"}, "abstract": "A growing body of evidence demonstrates a different bacterial composition in the oral cavity of patients with oral lichen planus (OLP).\n\nBuccal swab samples were collected from affected and non-affected sites of six patients with reticular OLP and the healthy oral mucosa of six control subjects. 16S rRNA gene MiSeq sequencing and mass spectrometry-based proteomics were utilised to identify the metataxonomic and metaproteomic profiles of the oral microbiome in both groups.\n\nFrom the metataxonomic analysis, the most abundant species in the three subgroups were Streptococcus oralis and Pseudomonas aeruginosa, accounting for up to 70% of the total population. Principal Coordinates Analysis showed differential clustering of samples from the healthy and OLP groups. ANCOM-BC compositional analysis revealed multiple species (including P. aeruginosa and several species of Veillonella, Prevotella, Streptococcus and Neisseria) significantly over-represented in the control group and several (including Granulicatella elegans, Gemella haemolysans and G. parahaemolysans) in patients with OLP. The metaproteomic data were generally congruent and revealed that several Gemella haemolysans-belonging peptidases and other proteins with inflammatory and virulence potential were present in OLP lesions.\n\nOur data suggest that several bacterial species are associated with OLP. Future studies with larger cohorts should be conducted to determine their role in the aetiology of OLP and evaluate their potential as disease biomarkers.", "doi": "10.1080/20002297.2022.2161726", "pmid": "36605405", "labels": {"Glycoproteomics and MS Proteomics": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC9809343"}, {"db": "pii", "key": "2161726"}], "notes": [], "created": "2023-12-04T10:22:22.752Z", "modified": "2024-01-16T13:46:27.938Z"}, {"entity": "publication", "iuid": "3648126ca4f64fc7a30a03f8065b00fd", "links": {"self": {"href": "https://publications.scilifelab.se/publication/3648126ca4f64fc7a30a03f8065b00fd.json"}, "display": {"href": "https://publications.scilifelab.se/publication/3648126ca4f64fc7a30a03f8065b00fd"}}, "title": "A family-based genome-wide association study of recurrent aphthous stomatitis.", "authors": [{"family": "Bankvall", "given": "Maria", "initials": "M", "orcid": "0000-0003-3949-6739", "researcher": {"href": "https://publications.scilifelab.se/researcher/aa1610a7b02e4460a6da70cd0ee8ae80.json"}}, {"family": "\u00d6stman", "given": "Sofia", "initials": "S"}, {"family": "Jontell", "given": "Mats", "initials": "M"}, {"family": "Torinsson Naluai", "given": "\u00c5sa", "initials": "\u00c5"}], "type": "journal article", "published": "2020-11-00", "journal": {"title": "Oral Dis", "issn": "1601-0825", "volume": "26", "issue": "8", "pages": "1696-1705", "issn-l": "1354-523X"}, "abstract": "The aetiology of recurrent aphthous stomatitis (RAS) remains unknown. Individuals may share features of genetic susceptibility, and there may also be a hereditary component. The aim was to identify patterns of association and segregation for genetic variants and to identify the genes and signalling pathways that determine the risk of developing RAS, through a family-based genome-wide association study (GWAS).\n\nDNA was extracted from buccal swabs of 91 individuals in 16 families and analysed in an Illumina core exome single nucleotide polymorphism (SNP) array. A family-based association test (dFAM) was used to derive SNP association values across all chromosomes.\n\nNone of the final 288,452 SNPs reached the genome-wide significant threshold of 5 \u00d7 10-8 . The most significant pathways were the Ras and PI3K-Akt signalling pathways, pathways in cancer, circadian entrainment and the Rap 1 signalling pathway.\n\nThis confirms that RAS is not monogenic but results as a consequence of interactions between multiple host genes and possibly also environmental factors. The present approach provides novel insights into the mechanisms underlying RAS and raises the possibility of identifying individuals at risk of acquiring this condition.", "doi": "10.1111/odi.13490", "pmid": "32558109", "labels": {"National Genomics Infrastructure": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service"}, "xrefs": [], "notes": [], "created": "2020-06-23T11:11:11.532Z", "modified": "2021-11-10T12:45:55.331Z"}]}